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A family secret exposed.
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If my father
wasn't my biological father, who was?
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00:00:29,615 --> 00:00:32,135
Something very, very important
was kept from me.
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00:00:32,204 --> 00:00:34,551
A hidden legacy...
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00:00:34,620 --> 00:00:36,829
revealed.
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Somewhere in
slavery that 20% might've been integrated
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with our DNA,
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and that might not have been
voluntary.
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A life-threatening illness...
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prevented.
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They
quite possibly saved my life.
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And a
decades-old murder finally solved.
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Without my DNA,
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it would have been dead
in the water.
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Just a few
of the millions of stories
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launched by one of
the most popular
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00:01:06,342 --> 00:01:10,829
and promising new technologies...
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consumer DNA testing.
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With a swab, or a bit of spit,
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some 30 million of us
have turned over
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our most personal information
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hoping to discover
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what's hidden inside us.
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But what do the tests
really deliver?
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Spain, Portugal...
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Norway?!
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How good is the science?
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And how are the tests
changing our lives?
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I just couldn't believe it.
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I was on the phone
with my older sister.
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In search of clues...
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"The Secrets in Our DNA,"
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right now, on "NOVA"!
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00:02:01,604 --> 00:02:02,536
It's a promise
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00:02:02,605 --> 00:02:06,712
many of us just can't resist.
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00:02:06,781 --> 00:02:11,924
Send in your DNA and unlock
secrets about family...
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ancestry...
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and even health.
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00:02:17,723 --> 00:02:21,658
It's rare that something
comes along that is truly new.
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00:02:21,727 --> 00:02:23,833
And this is something
that's truly new.
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00:02:25,421 --> 00:02:26,836
But just how reliable
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00:02:26,905 --> 00:02:28,493
are consumer DNA tests,
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00:02:28,562 --> 00:02:32,186
and their scientific-looking
ancestry percentages?
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Should we worry about
our privacy?
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What are the unforeseen
consequences when we reveal
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00:02:41,851 --> 00:02:44,819
the "Secrets in Our DNA"?
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00:03:03,942 --> 00:03:05,599
In the suburbs
of Olympia, Washington,
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one woman finds out
just how unpredictable
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those consequences can be.
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Chelsea Rustad,
who works as an I.T. specialist,
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is an avid family historian.
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In 2015,
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she takes a test
with the biggest
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of the direct-to-consumer
companies... AncestryDNA.
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00:03:27,931 --> 00:03:29,174
People end up
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00:03:29,243 --> 00:03:31,694
doing it oftentimes because,
"I just wanna learn
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00:03:31,763 --> 00:03:33,765
about my ancestral background."
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But then something else pops up
that they really
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were not expecting at all,
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00:03:38,183 --> 00:03:39,460
and that's exactly what this was
for me.
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The test results
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suggest that Chelsea is mostly
of Norwegian
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00:03:43,740 --> 00:03:46,398
and German ancestry.
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00:03:46,467 --> 00:03:50,885
Then, because she's also curious
to find new relatives,
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she downloads her raw file
from Ancestry,
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00:03:54,095 --> 00:03:58,721
and uploads it to a free website
called GEDmatch.
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It's a place where anyone
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00:04:00,964 --> 00:04:03,967
can search for matches no matter
what company they tested with.
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GEDmatch shows Chelsea
everyone else on the site
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who shares DNA with her.
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It's kind of humbling
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and interesting to see
those interconnections,
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to realize the sheer number
of people that we share
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some percentage of DNA with
and don't even realize it.
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On GEDmatch,
Chelsea sees an aunt whom she knows,
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but no new close relatives.
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She logs off, and doesn't check
the site again.
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Three years go by.
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And then, on the evening
of May 17, 2018,
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Chelsea gets some unexpected
visitors.
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I look through the peephole
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and see that there are two cops
waiting outside there.
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And when I opened the door,
they introduced themselves
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as investigators who are looking
into a homicide
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that was a cold case
from 31 years ago.
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They've come to
her door as a result of that DNA file
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she posted on GEDmatch.
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To her amazement,
they tell her that her DNA
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has led them to a suspect.
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It was just really a lot
to take in and really shocking.
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00:05:26,947 --> 00:05:28,742
Every step of what
they explained to me
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is a horror story.
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Chelsea's
hopeful search for relatives
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00:05:38,372 --> 00:05:40,063
has taken a dark turn...
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into the hunt for a killer.
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Someone she's related to.
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Though her story is unusual,
it shows that
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consumer DNA companies
can fulfill
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one of their biggest promises
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extremely well:
connecting us to our relatives.
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00:06:05,848 --> 00:06:08,022
Direct-to-consumer,
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00:06:08,091 --> 00:06:10,300
or DTC DNA testing,
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is a billion-dollar business
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made possible by the simple
rules of heredity.
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We inherit our DNA
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from both of our parents.
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50% from mom, 50% from dad.
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And they inherit it
from their parents.
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And their parents, of course,
inherited it from their parents.
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Our parents each
contribute about 50% to our DNA.
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00:06:34,048 --> 00:06:38,190
And the same is true for them
and their parents.
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00:06:38,259 --> 00:06:41,504
So the amount of DNA we inherit
from any ancestor
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00:06:41,573 --> 00:06:46,026
drops by half with each
preceding generation.
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We also share DNA with anyone
who shares a common ancestor
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with us: siblings,
half-siblings, first cousins,
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second cousins and so on.
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The way that the DTCs determine
those relationships
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00:07:03,284 --> 00:07:05,977
is by comparing people's DNA.
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00:07:06,046 --> 00:07:08,980
The amount that is shared
is measured in a unit
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called centimorgans.
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The more centimorgans
two people share,
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the closer they are related.
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And the fewer centimorgans
they share,
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the more distantly related
they are.
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00:07:22,165 --> 00:07:25,445
But with the
DTCs, a relationship to someone
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can't always be determined
just by counting centimorgans.
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Because the numbers fall
within ranges.
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00:07:32,693 --> 00:07:35,316
You might share the same number
with a cousin,
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00:07:35,385 --> 00:07:37,733
and a great-uncle, for example.
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00:07:37,802 --> 00:07:40,218
Just because you have an amount
of shared DNA doesn't mean
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you actually know for sure what
that person's relationship is,
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it's just a probability...
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a spectrum of possible
relationships.
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June Smith lives in
New Jersey, not far from Philadelphia.
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In 2018,
she takes a consumer DNA test,
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00:07:59,582 --> 00:08:03,517
hoping to solve
a longstanding mystery.
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00:08:03,586 --> 00:08:08,833
She's spent years searching for
her roots.
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00:08:08,902 --> 00:08:11,491
When June was 16,
growing up in Philadelphia,
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00:08:11,560 --> 00:08:16,426
the woman she knew as her mother
revealed a secret.
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She said, "Your mother
was a white woman,"
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00:08:20,741 --> 00:08:22,778
and I said, "A white woman?"
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which was totally shocking
to me.
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Her biological mother's name
was Ann D'Amico.
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June has never learned
the identity of her father.
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When June takes her test
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00:08:37,378 --> 00:08:39,519
with AncestryDNA,
she checks the box
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asking to be linked
to any customers with whom
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she shares DNA.
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Though she knows Ann has died,
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there's someone else
she desperately wants to find.
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00:08:53,809 --> 00:08:57,744
While digging into Ann's
life story, June learned that
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she'd given birth
to another biracial daughter,
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who had a different father.
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00:09:03,819 --> 00:09:06,856
A girl named Joan Moser,
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00:09:06,925 --> 00:09:09,583
June's older half-sister.
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I set out to search for her.
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00:09:11,689 --> 00:09:13,725
And I would go on websites,
I would do
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all kind of people searches
looking for Joan Moser.
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But we could never come up
with her.
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One day, June receives
a message on her Ancestry page,
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telling her she has a new match
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with a close relative...
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a woman named Sigrid Gilchrist.
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She'd also grown up
in Philadelphia,
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the only child of a Black couple
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active in the civil rights
movement.
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But at 16, Sigrid learned
a long-hidden truth
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from her mother.
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She told me I was adopted.
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That my mother was Italian
and my father was Black.
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It was crushing.
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I had no idea.
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In the years that followed,
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Sigrid never connected
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00:10:02,360 --> 00:10:04,983
with any of her
biological relatives.
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Until, by pure chance,
right around the time
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that June tests with Ancestry,
Sigrid does too.
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Ancestry reports that
the two women,
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who share 1,641 centimorgans,
may be first cousins.
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00:10:22,035 --> 00:10:25,038
But June can't help wondering:
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might Sigrid be someone
even closer?
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The two women agree
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to talk on the phone.
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She said, "I have three
questions to ask you."
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I said, "Okay."
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I said, "Were you adopted?"
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She said, "I was."
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I said, "Are you biracial?"
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She said, "I am."
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I said, "Would your birth mother
name happen to be Ann D'Amico?"
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I said, "Yes, that was her name,
my biological mother."
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She said, "Are you Joan Moser?"
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And then I said, "That was the
name on my birth certificate."
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I said, "Oh my God,
you're my sister.
195
00:11:07,701 --> 00:11:09,772
You're not my cousin."
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We cried and I just couldn't
believe it.
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00:11:12,395 --> 00:11:15,398
I was on the phone
with my older sister.
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00:11:18,574 --> 00:11:20,576
Yes.
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00:11:20,645 --> 00:11:24,891
It was just like
we've known each other forever.
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One-on-one spirit feeling
that you can't describe.
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Finding my sister gave me
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00:11:35,073 --> 00:11:38,525
a sense of belonging.
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It gave me a sense of saying,
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"Hey, you know,
we got the same blood."
205
00:11:44,255 --> 00:11:46,050
But I do see...
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00:11:46,119 --> 00:11:47,292
Looks like me... you.
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00:11:47,361 --> 00:11:48,604
Yes. Mm-hmm.
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00:11:48,673 --> 00:11:50,744
Look at the chin. Yeah. I can tell.
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It's good having
an older sister.
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00:11:53,954 --> 00:11:56,474
I don't like being older,
but it's okay.
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I love having a younger sister.
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00:12:01,479 --> 00:12:02,825
She understands.
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00:12:02,894 --> 00:12:04,309
Yeah, yeah.
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00:12:07,105 --> 00:12:09,038
People like Sigrid and June
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00:12:09,107 --> 00:12:11,731
can be connected by the DTCs
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00:12:11,800 --> 00:12:16,736
thanks to an amazing
recent discovery about DNA.
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00:12:16,805 --> 00:12:20,981
We've known for a long time
that the DNA molecule,
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00:12:21,050 --> 00:12:24,640
which we carry in almost
every cell in our body,
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00:12:24,709 --> 00:12:29,127
contains the code that directs
our lives.
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00:12:29,196 --> 00:12:34,615
The code is carried in chemical
building blocks called bases.
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00:12:34,684 --> 00:12:38,102
Known as A, C, G and T,
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00:12:38,171 --> 00:12:41,553
they form pairs to create
the familiar ladder-like
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00:12:41,622 --> 00:12:44,418
structure of DNA.
224
00:12:44,487 --> 00:12:47,801
It takes a whopping three
billion of those base pairs
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00:12:47,870 --> 00:12:51,632
to make up our complete genome.
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00:12:51,701 --> 00:12:53,531
But since 2003,
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00:12:53,600 --> 00:12:57,328
when scientists first read
through all of those base pairs,
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00:12:57,397 --> 00:13:00,193
they've discovered
a surprising fact
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00:13:00,262 --> 00:13:03,161
about more than 99% of them.
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00:13:03,230 --> 00:13:05,336
If you look at any two people,
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00:13:05,405 --> 00:13:10,203
the vast, vast majority of their
DNA is exactly the same.
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00:13:10,272 --> 00:13:13,862
Because all of the things
that keep you alive,
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I mean, all of that has to be
the same, it can't change.
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00:13:16,174 --> 00:13:17,693
Otherwise it doesn't work.
235
00:13:19,246 --> 00:13:22,008
But there are
places in our DNA that do vary.
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00:13:22,077 --> 00:13:23,250
Some of them are called
237
00:13:23,319 --> 00:13:29,153
single nucleotide polymorphisms,
or SNPs.
238
00:13:29,222 --> 00:13:32,294
They're spots where most of us
have one kind of base pair
239
00:13:32,363 --> 00:13:35,815
but some of us have another.
240
00:13:35,884 --> 00:13:39,404
So instead of trying to identify
all three billion
241
00:13:39,473 --> 00:13:41,682
of a customer's base pairs,
242
00:13:41,751 --> 00:13:43,443
the DTCs do something
243
00:13:43,512 --> 00:13:45,859
that's cheaper and faster.
244
00:13:45,928 --> 00:13:48,517
They only check out
a customer's SNPs.
245
00:13:48,586 --> 00:13:52,693
Usually about 700,000 of them.
246
00:13:52,762 --> 00:13:56,559
And comparing people's SNPs
is an efficient way
247
00:13:56,628 --> 00:13:58,527
to see if they're related.
248
00:13:58,596 --> 00:14:00,149
Because when their SNPs
match up,
249
00:14:00,218 --> 00:14:05,189
all the DNA in between the SNPs
is usually identical too.
250
00:14:05,258 --> 00:14:07,225
And matching DNA segments
251
00:14:07,294 --> 00:14:12,506
are the telltale signs
of a family relationship.
252
00:14:12,575 --> 00:14:15,855
By looking at
the amount of shared DNA,
253
00:14:15,924 --> 00:14:19,755
direct-to-consumer tests can
give a quite accurate picture
254
00:14:19,824 --> 00:14:24,380
of relationships between
individuals.
255
00:14:24,449 --> 00:14:29,558
FamilyTreeDNA in
Houston is one of the four biggest DTCs.
256
00:14:31,077 --> 00:14:34,839
Like many of them,
the lynchpin of its operation
257
00:14:34,908 --> 00:14:37,428
is its technology
for reading SNPs.
258
00:14:37,497 --> 00:14:43,503
And this is it: a small piece
of glass called a SNP chip.
259
00:14:43,572 --> 00:14:47,921
It contains hundreds of
thousands of tiny beads.
260
00:14:47,990 --> 00:14:52,684
Each one holds a short piece
of DNA called a probe.
261
00:14:52,753 --> 00:14:56,171
And we put an individual's DNA
on the chip,
262
00:14:56,240 --> 00:15:00,002
and the part of
an individual's DNA
263
00:15:00,071 --> 00:15:02,936
that matches the little probe,
264
00:15:03,005 --> 00:15:04,973
they will bind together.
265
00:15:05,042 --> 00:15:07,976
Once bound,
the identity of the SNP
266
00:15:08,045 --> 00:15:10,702
is revealed by a
fluorescent dye.
267
00:15:10,771 --> 00:15:15,466
For example, if you have an A,
you'll see green.
268
00:15:15,535 --> 00:15:18,365
If you have a G, you'll see red.
269
00:15:21,023 --> 00:15:24,924
The SNP data enables
the lab to see how much DNA is shared
270
00:15:24,993 --> 00:15:28,997
by customers who've opted for
family matching.
271
00:15:29,066 --> 00:15:32,862
The company website shows them
their list of matches.
272
00:15:32,932 --> 00:15:36,970
It will show
everyone that you're related to,
273
00:15:37,039 --> 00:15:39,214
and the estimated relationship.
274
00:15:42,251 --> 00:15:47,118
But sometimes, that
match list can reveal a painful truth.
275
00:15:48,913 --> 00:15:52,917
This anonymity and taking these
secrets to the grave,
276
00:15:52,986 --> 00:15:57,232
with the advent of DNA testing,
it really doesn't exist anymore.
277
00:15:57,301 --> 00:16:02,962
That's what Dani
Shapiro was shocked to discover.
278
00:16:03,031 --> 00:16:04,756
A novelist and memoirist,
279
00:16:04,825 --> 00:16:08,070
she's written about growing up
in an Orthodox Jewish family
280
00:16:08,139 --> 00:16:09,106
in New Jersey,
281
00:16:09,175 --> 00:16:13,248
and about her parents,
Irene and Paul.
282
00:16:13,317 --> 00:16:15,457
I was very, very bonded
with my dad...
283
00:16:15,526 --> 00:16:17,217
much more so than with my mom.
284
00:16:17,286 --> 00:16:20,807
He worked on the floor of the
New York Stock Exchange.
285
00:16:20,876 --> 00:16:22,843
And I would meet him for lunch
sometimes.
286
00:16:22,912 --> 00:16:24,845
And he would come out
and he would just like
287
00:16:24,914 --> 00:16:27,676
fling his arms open, just like,
288
00:16:27,745 --> 00:16:30,713
"Hiya
darling," give me this huge hug.
289
00:16:30,782 --> 00:16:32,129
It's going to make me cry.
290
00:16:32,198 --> 00:16:35,649
I loved my father.
291
00:16:35,718 --> 00:16:37,720
From childhood on,
292
00:16:37,789 --> 00:16:40,551
this Jewish daughter
draws comments.
293
00:16:40,620 --> 00:16:41,931
"You don't look Jewish."
294
00:16:42,001 --> 00:16:42,967
"You can't possibly be Jewish."
295
00:16:43,036 --> 00:16:44,382
"There's no way you're Jewish."
296
00:16:44,451 --> 00:16:46,488
"Did your mother have an affair
with a Swedish milkman?"
297
00:16:46,557 --> 00:16:47,834
"Shapiro your married name?"
298
00:16:47,903 --> 00:16:49,353
I could go on.
299
00:16:49,422 --> 00:16:53,943
One day in 2016,
her husband, Michael Maren,
300
00:16:54,013 --> 00:16:58,224
decides to take a DNA test
from Ancestry.
301
00:16:58,293 --> 00:17:02,538
Without thinking about it much,
Dani decides to take one too.
302
00:17:02,607 --> 00:17:06,266
She knows that both of her
parents are of Ashkenazi,
303
00:17:06,335 --> 00:17:10,512
or eastern European Jewish,
descent.
304
00:17:10,581 --> 00:17:14,723
Several weeks later
they get their results.
305
00:17:14,792 --> 00:17:18,209
We open
them, and he's like, "Huh.
306
00:17:18,278 --> 00:17:19,866
"According to this,
you're about 50-50,
307
00:17:19,935 --> 00:17:22,800
"Eastern European Ashkenazi
308
00:17:22,869 --> 00:17:25,216
"and the rest is all
Western European...
309
00:17:25,285 --> 00:17:28,633
French, Irish, English,
Swedish, German."
310
00:17:28,702 --> 00:17:33,845
My only response was, "Oh, well
they must've made a mistake."
311
00:17:33,914 --> 00:17:37,470
It was only a few days later,
my husband came in
312
00:17:37,539 --> 00:17:39,989
and he said,
"You have a first cousin
313
00:17:40,059 --> 00:17:42,095
"on your Ancestry. com page.
314
00:17:42,164 --> 00:17:43,993
"A first cousin who
we don't know, we don't,
315
00:17:44,063 --> 00:17:45,650
we don't know this
first cousin."
316
00:17:45,719 --> 00:17:49,999
In search of clues,
Dani turns to someone she's sure
317
00:17:50,069 --> 00:17:52,278
is a blood relative.
318
00:17:52,347 --> 00:17:53,589
I have a much older half-sister
319
00:17:53,658 --> 00:17:56,489
from a first marriage
of my dad's.
320
00:17:56,558 --> 00:17:58,318
I recalled that
321
00:17:58,387 --> 00:18:00,665
a number of years ago
she had done I think 23andMe.
322
00:18:00,734 --> 00:18:03,530
And I sent her an email
and I said,
323
00:18:03,599 --> 00:18:08,570
"Do you have your results from,
from the DNA test you did?"
324
00:18:08,639 --> 00:18:10,882
And she did
and she sent them to me.
325
00:18:10,951 --> 00:18:14,265
Dani gives the
half-sister's file to her husband.
326
00:18:14,334 --> 00:18:19,374
Using GEDmatch, he checks to see
how much DNA she and Dani share
327
00:18:19,443 --> 00:18:22,687
and discovers the truth.
328
00:18:22,756 --> 00:18:24,862
He said, "You're not sisters."
329
00:18:24,931 --> 00:18:28,693
And I said,
"Not, not half-sisters?"
330
00:18:28,762 --> 00:18:30,419
'Cause that's what we were.
331
00:18:30,488 --> 00:18:32,041
And he said,
"No kind of sisters.
332
00:18:32,111 --> 00:18:33,215
You're not related."
333
00:18:34,906 --> 00:18:37,599
And so that was the moment
for me when all of the pieces
334
00:18:37,668 --> 00:18:41,120
began to just click into place
where I thought,
335
00:18:41,189 --> 00:18:45,745
"Well, if he's not one of our
fathers, he's not my father."
336
00:18:47,988 --> 00:18:50,715
Something very, very important
was kept from me.
337
00:18:50,784 --> 00:18:56,583
And it felt to me like
my identity was... um...
338
00:18:56,652 --> 00:18:58,344
in pieces.
339
00:19:00,277 --> 00:19:02,417
Her parents are both deceased.
340
00:19:02,486 --> 00:19:05,454
But she remembers her mother
once saying she had a hard time
341
00:19:05,523 --> 00:19:07,870
getting pregnant,
342
00:19:07,939 --> 00:19:12,081
and mentioning a fertility
clinic in Philadelphia.
343
00:19:12,151 --> 00:19:14,946
Dani and her husband track down
the first cousin
344
00:19:15,015 --> 00:19:17,742
who popped up on Ancestry.
345
00:19:17,811 --> 00:19:23,576
His uncle turns out to be
Dani's biological father.
346
00:19:23,645 --> 00:19:27,821
A retired doctor, he'd gone to
medical school in Philadelphia,
347
00:19:27,890 --> 00:19:30,376
and had been a sperm donor
at the clinic.
348
00:19:31,963 --> 00:19:33,517
She searches the internet,
349
00:19:33,586 --> 00:19:36,554
and sees a video of him
giving a talk.
350
00:19:36,623 --> 00:19:38,107
I knew what I was seeing.
351
00:19:38,177 --> 00:19:41,249
And I remember getting up
and walking into the bathroom,
352
00:19:41,318 --> 00:19:43,699
and looking at my face
in the mirror for the first time
353
00:19:43,768 --> 00:19:46,530
after seeing him,
354
00:19:46,599 --> 00:19:49,464
and understanding my face
for the first time in my life.
355
00:19:49,533 --> 00:19:53,709
Dani feels
compelled to write a new book
356
00:19:53,778 --> 00:19:57,886
about family, identity,
and her own experience.
357
00:19:57,955 --> 00:20:01,959
Its title: "Inheritance."
358
00:20:02,028 --> 00:20:04,099
My book is dedicated
to my father.
359
00:20:04,168 --> 00:20:08,552
And sometimes someone will say
to me, "Which father"?
360
00:20:08,621 --> 00:20:10,588
And I'm like, "Are you kidding?"
361
00:20:10,657 --> 00:20:14,489
My mother wanted to
bear a child.
362
00:20:14,558 --> 00:20:19,459
And I think it must really
not have been easy for my father
363
00:20:19,528 --> 00:20:22,359
to have gotten to this place
where he was
364
00:20:22,428 --> 00:20:26,535
willing to genetically
replace himself.
365
00:20:26,604 --> 00:20:28,744
That's what that is.
366
00:20:28,813 --> 00:20:32,161
It's saying one of us is going
to be the biological parent
367
00:20:32,231 --> 00:20:34,681
of this child
and one of us is not.
368
00:20:34,750 --> 00:20:39,168
And no one's ever gonna know
except for us.
369
00:20:44,484 --> 00:20:46,417
Dani is far from alone.
370
00:20:46,486 --> 00:20:49,765
According to one estimate,
some one million people
371
00:20:49,834 --> 00:20:52,630
have discovered
from consumer DNA tests
372
00:20:52,699 --> 00:20:55,184
that the man who raised them
373
00:20:55,254 --> 00:20:57,117
is not their biological father.
374
00:20:57,186 --> 00:21:01,052
Or that they have a half-sibling
they never knew about.
375
00:21:02,502 --> 00:21:05,125
And there are even
darker secrets that sometimes
376
00:21:05,194 --> 00:21:07,990
come to light.
377
00:21:08,059 --> 00:21:10,614
In Washington State, in 2018,
378
00:21:10,683 --> 00:21:15,032
the secret that Chelsea Rustad's
DNA helps to reveal
379
00:21:15,101 --> 00:21:16,654
could be the key
380
00:21:16,723 --> 00:21:21,728
to cracking a 31-year-old
cold case.
381
00:21:21,797 --> 00:21:23,868
It's really upsetting,
very distressing to think about.
382
00:21:23,937 --> 00:21:27,078
Only a monster could do
such things to people.
383
00:21:29,046 --> 00:21:32,049
On November 18, 1987,
384
00:21:32,118 --> 00:21:34,258
two young Canadians...
385
00:21:34,327 --> 00:21:36,778
Jay Cook, 20 years old,
386
00:21:36,847 --> 00:21:40,920
and his girlfriend,
Tanya van Cuylenborg, 18...
387
00:21:40,989 --> 00:21:45,752
leave their hometown, a suburb
of Victoria, British Columbia,
388
00:21:45,821 --> 00:21:51,482
heading to Seattle, to run
an errand for Jay's dad.
389
00:21:51,551 --> 00:21:56,591
Six days later,
Tanya's partially clothed body
390
00:21:56,660 --> 00:21:58,247
is found by the side
of this road
391
00:21:58,317 --> 00:22:00,353
in Skagit County, Washington.
392
00:22:01,906 --> 00:22:03,598
She's been shot in the head.
393
00:22:03,667 --> 00:22:07,187
And there's evidence of rape.
394
00:22:07,256 --> 00:22:10,536
Two days after that,
some 65 miles away
395
00:22:10,605 --> 00:22:13,401
in Snohomish County,
beneath this bridge,
396
00:22:13,470 --> 00:22:17,784
hunters find Jay's body.
397
00:22:17,853 --> 00:22:18,889
He's been strangled
398
00:22:18,958 --> 00:22:21,132
with twine and dog collars...
399
00:22:21,201 --> 00:22:24,273
his head beaten with rocks.
400
00:22:24,343 --> 00:22:28,070
We had two young
totally innocent kids
401
00:22:28,139 --> 00:22:32,178
that got kidnapped
and brutally murdered.
402
00:22:32,247 --> 00:22:36,562
During the
investigation, police recover
403
00:22:36,631 --> 00:22:40,497
potentially precious evidence
from Tanya's body:
404
00:22:40,566 --> 00:22:43,810
the assailant's DNA.
405
00:22:43,879 --> 00:22:47,193
They will run it through
a lab procedure that is still
406
00:22:47,262 --> 00:22:51,266
the gold standard for proving
identity with DNA.
407
00:22:51,335 --> 00:22:55,650
It zeroes in on just 20 or so
places in the genome
408
00:22:55,719 --> 00:23:00,586
where a short string of letters,
for example G-A-T-A,
409
00:23:00,655 --> 00:23:02,622
just keeps on repeating.
410
00:23:02,691 --> 00:23:08,248
They're called
short tandem repeats, or STRs.
411
00:23:08,317 --> 00:23:09,595
And scientists can count
412
00:23:09,664 --> 00:23:13,564
the number of times they repeat.
413
00:23:13,633 --> 00:23:15,497
And
those counts vary person to person
414
00:23:15,566 --> 00:23:18,189
just like the ridge lines
on a fingerprint.
415
00:23:18,258 --> 00:23:21,641
It's a very powerful technique
because with enough locations,
416
00:23:21,710 --> 00:23:25,024
you can do an identity match
with very high probability
417
00:23:25,093 --> 00:23:26,750
because of these slight
differences one person
418
00:23:26,819 --> 00:23:27,751
to the next.
419
00:23:29,373 --> 00:23:31,513
But like a
crime scene fingerprint,
420
00:23:31,582 --> 00:23:34,896
a crime scene STR profile
is only useful
421
00:23:34,965 --> 00:23:38,037
if it matches one that's already
in the possession
422
00:23:38,106 --> 00:23:41,074
of law enforcement.
423
00:23:41,143 --> 00:23:43,629
For decades,
the profile in this case
424
00:23:43,698 --> 00:23:48,772
doesn't match anyone known
to the police.
425
00:23:48,841 --> 00:23:53,121
The case goes cold.
426
00:23:53,190 --> 00:23:54,985
Until the day when
Chelsea Rustad
427
00:23:55,054 --> 00:23:59,576
uploads a DNA file to GEDmatch,
428
00:23:59,645 --> 00:24:01,336
where it becomes a clue
429
00:24:01,405 --> 00:24:04,201
that will eventually lead
the police to a major break
430
00:24:04,270 --> 00:24:06,686
in the case.
431
00:24:10,207 --> 00:24:15,108
Chelsea's experience
will make headlines.
432
00:24:15,177 --> 00:24:18,008
But most DNA test-takers
just want to know,
433
00:24:18,077 --> 00:24:21,011
"What are my roots?"
434
00:24:21,080 --> 00:24:24,463
A seemingly simple question
that often leads to its own
435
00:24:24,532 --> 00:24:27,017
set of mysteries.
436
00:24:27,086 --> 00:24:29,778
Don't open
anything until we ask you to.
437
00:24:29,847 --> 00:24:33,679
These 14
people are about to experience
438
00:24:33,748 --> 00:24:36,613
DNA ancestry testing
for themselves.
439
00:24:36,682 --> 00:24:38,753
'Cause there are so many kids
I'm growing up with
440
00:24:38,822 --> 00:24:40,582
who are all in
the same situation.
441
00:24:40,651 --> 00:24:42,308
We don't know our heritage.
442
00:24:42,377 --> 00:24:43,758
We could probably safely assume
443
00:24:43,827 --> 00:24:46,726
that our ancestors' ancestors
had something to do
444
00:24:46,795 --> 00:24:48,521
with like slavery
and things like that.
445
00:24:48,590 --> 00:24:51,766
But we don't really know
where we came from.
446
00:24:51,835 --> 00:24:55,183
Cherry Richardson
is taking part in a research study
447
00:24:55,252 --> 00:24:58,531
at West Chester University
in Pennsylvania.
448
00:24:58,600 --> 00:25:01,569
So we have a research protocol
by which we collect data
449
00:25:01,638 --> 00:25:03,398
for this particular project.
450
00:25:03,467 --> 00:25:06,332
The study is run by
two communications professors...
451
00:25:06,401 --> 00:25:10,094
Bessie Lawton and Anita Foeman.
452
00:25:10,163 --> 00:25:12,441
The question they're asking is:
453
00:25:12,511 --> 00:25:16,860
how does DNA testing affect our
understanding of who we are?
454
00:25:16,929 --> 00:25:18,378
And also, our ability
455
00:25:18,447 --> 00:25:20,657
to understand what makes us
different?
456
00:25:20,726 --> 00:25:22,175
And after
we receive the results,
457
00:25:22,244 --> 00:25:23,383
we bring you together...
458
00:25:23,452 --> 00:25:25,247
The whole idea is to listen
to each other
459
00:25:25,316 --> 00:25:26,697
and talk with one another...
460
00:25:26,766 --> 00:25:28,837
Anita was
inspired to start the project
461
00:25:28,906 --> 00:25:30,908
because of her experiences
462
00:25:30,977 --> 00:25:32,945
as a diversity trainer.
463
00:25:33,014 --> 00:25:35,016
I thought looking at our DNA
464
00:25:35,085 --> 00:25:38,813
was a really interesting way to
approach this whole conversation
465
00:25:38,882 --> 00:25:42,679
about race and diversity
in a way that was not going
466
00:25:42,748 --> 00:25:44,232
to make people defensive.
467
00:25:44,301 --> 00:25:45,440
And that has happened.
468
00:25:45,509 --> 00:25:47,615
We don't identify ourselves
with Africa.
469
00:25:47,684 --> 00:25:48,995
We just say we're Black.
470
00:25:49,064 --> 00:25:50,134
You know, we literally
471
00:25:50,203 --> 00:25:52,102
separated from that
which we came from.
472
00:25:52,171 --> 00:25:54,725
In a
previous test with Ancestry,
473
00:25:54,794 --> 00:25:56,106
Tyquine Golden was told
474
00:25:56,175 --> 00:25:58,384
his roots were 80% West African,
475
00:25:58,453 --> 00:26:00,593
and 20% British.
476
00:26:00,662 --> 00:26:02,043
They got everybody.
477
00:26:02,112 --> 00:26:04,045
In today's
test with FamilyTreeDNA,
478
00:26:04,114 --> 00:26:07,289
he hopes to learn more.
479
00:26:07,358 --> 00:26:11,604
My suspicions might lead me
to say, somewhere in slavery,
480
00:26:11,673 --> 00:26:17,403
20% might've came in and have
been integrated with our DNA.
481
00:26:17,472 --> 00:26:19,992
And that might not have been
voluntary.
482
00:26:20,061 --> 00:26:22,511
I think as an African American,
it's a tough thing
483
00:26:22,581 --> 00:26:25,238
to grapple with when you think
about the origin
484
00:26:25,307 --> 00:26:28,587
of your Caucasian,
or white ancestry,
485
00:26:28,656 --> 00:26:31,555
that often happened due to rape
and mistreatment.
486
00:26:31,624 --> 00:26:32,970
But it is part of your history.
487
00:26:33,039 --> 00:26:37,665
So you have to confront it
on some level and understand it.
488
00:26:37,734 --> 00:26:39,149
It's part of how you got here.
489
00:26:39,218 --> 00:26:41,254
I don't want to hide
from the truth.
490
00:26:41,323 --> 00:26:44,568
No matter how bad it could be.
491
00:26:46,466 --> 00:26:48,745
Now it's time to collect DNA...
492
00:26:48,814 --> 00:26:50,056
You can turn it around
493
00:26:50,125 --> 00:26:51,540
a little bit to capture more.
494
00:26:51,610 --> 00:26:53,094
And ship the samples off
to Houston.
495
00:26:56,545 --> 00:27:00,239
So how do DTCs like
FamilyTreeDNA come up
496
00:27:00,308 --> 00:27:02,379
with a breakdown
of your ancestry?
497
00:27:04,174 --> 00:27:06,486
It's a process that also
centers around SNPs...
498
00:27:06,555 --> 00:27:09,041
those places in our DNA
499
00:27:09,110 --> 00:27:13,770
that most frequently vary
between people.
500
00:27:13,839 --> 00:27:16,324
The company compares your SNPs
501
00:27:16,393 --> 00:27:20,431
with those of people in what
are called reference groups...
502
00:27:20,500 --> 00:27:23,918
people alive today whose DNA
has been tested
503
00:27:23,987 --> 00:27:25,920
and who share patterns of SNPs
504
00:27:25,989 --> 00:27:27,404
that scientists have found to be
505
00:27:27,473 --> 00:27:30,372
typical for the region in which
they live.
506
00:27:31,719 --> 00:27:34,860
Those patterns are compiled into
a database.
507
00:27:34,929 --> 00:27:37,725
But how well does it represent
test-takers?
508
00:27:39,761 --> 00:27:40,900
They're telling you
509
00:27:40,969 --> 00:27:43,247
this is your background based on
our database.
510
00:27:43,316 --> 00:27:44,801
Well, if something's not
in their database,
511
00:27:44,870 --> 00:27:47,113
they can't tell you that it's in
your background.
512
00:27:48,701 --> 00:27:50,323
The DTCs have less data
513
00:27:50,392 --> 00:27:53,499
about people of African
and Asian descent than they do
514
00:27:53,568 --> 00:27:57,020
about people of European
descent.
515
00:27:57,089 --> 00:28:00,506
Most of the genetic testing
that has been done
516
00:28:00,575 --> 00:28:04,199
has been done on North Atlantic
Europeans.
517
00:28:04,268 --> 00:28:08,652
So our reference databases
are biased.
518
00:28:13,588 --> 00:28:14,934
Why don't
we all just take a minute,
519
00:28:15,003 --> 00:28:16,729
and open your results,
520
00:28:16,798 --> 00:28:19,939
and take a look at the map
for the first time.
521
00:28:20,008 --> 00:28:23,494
FamilyTreeDNA
has given Nick Pasvanis,
522
00:28:23,563 --> 00:28:26,221
whose parents trace
their ancestors to Greece,
523
00:28:26,290 --> 00:28:30,122
Germany, England, and Scotland,
a detailed breakdown.
524
00:28:30,191 --> 00:28:32,952
I'm 45% Southeastern European,
525
00:28:33,021 --> 00:28:35,886
which is about what I expected.
526
00:28:35,955 --> 00:28:39,545
I've always felt like I was
just a general European mutt.
527
00:28:39,614 --> 00:28:42,341
And that's pretty much
what the map shows.
528
00:28:42,410 --> 00:28:45,344
So, I was
wondering when I got it, like,
529
00:28:45,413 --> 00:28:47,311
if it would say if I was Black,
530
00:28:47,380 --> 00:28:50,142
and I am 94% West African,
531
00:28:50,211 --> 00:28:52,696
so, yeah, I'm pretty Black.
532
00:28:52,765 --> 00:28:58,115
But Cherry Richardson's
African bubble provides little detail.
533
00:29:00,497 --> 00:29:03,465
Hana Wiessmann and Viola Wang,
534
00:29:03,534 --> 00:29:05,398
who were both born in China,
535
00:29:05,467 --> 00:29:08,505
have even bigger bubbles.
536
00:29:08,574 --> 00:29:10,749
I mean, I have just
these giant bubbles, and they're like,
537
00:29:10,818 --> 00:29:13,821
"You're super Asian," like, I
kind of already knew that, so...
538
00:29:13,890 --> 00:29:16,513
Basically, people have huge
bubbles are considered
539
00:29:16,582 --> 00:29:19,033
"the minorities."
540
00:29:19,102 --> 00:29:22,657
And it's unfortunate because
it perpetuates
541
00:29:22,726 --> 00:29:28,974
a kind of Eurocentrism that has
tainted our scholarship.
542
00:29:29,043 --> 00:29:32,149
That is a foundation
for notions,
543
00:29:32,218 --> 00:29:35,566
false notions
of white supremacy.
544
00:29:35,635 --> 00:29:38,155
And it highlights
the disparities
545
00:29:38,224 --> 00:29:41,952
that are currently prevalent
throughout science
546
00:29:42,021 --> 00:29:44,058
and particularly in genetics.
547
00:29:44,127 --> 00:29:48,338
There's also 23% southeast with
Italy and Greece highlighted,
548
00:29:48,407 --> 00:29:50,547
which was never on our radar.
549
00:29:50,616 --> 00:29:55,138
But there's another problem
with the way DTCs calculate ancestry.
550
00:29:55,207 --> 00:29:57,002
64% European...
551
00:29:57,071 --> 00:29:59,798
The DNA of people
who lived in a place long ago...
552
00:29:59,867 --> 00:30:02,007
your ancestors...
553
00:30:02,076 --> 00:30:03,974
may be different from the DNA
of the people
554
00:30:04,043 --> 00:30:08,876
in the reference groups
who live there today.
555
00:30:08,945 --> 00:30:11,326
That's because for centuries,
people,
556
00:30:11,395 --> 00:30:12,776
and their DNA,
557
00:30:12,845 --> 00:30:16,918
have been moving around
the globe.
558
00:30:16,987 --> 00:30:20,059
You really have to
get over the hurdle of static thinking
559
00:30:20,128 --> 00:30:22,924
about human populations.
560
00:30:22,993 --> 00:30:26,479
That there are Irish genes,
and Italian genes,
561
00:30:26,548 --> 00:30:31,830
and, and Nigerian genes,
and Zimbabwean genes
562
00:30:31,899 --> 00:30:35,592
and that's just not the way
that human evolution works.
563
00:30:35,661 --> 00:30:38,837
Because static feeds into
the racist paradigm,
564
00:30:38,906 --> 00:30:43,876
feeds into the me versus you,
you know, us versus them.
565
00:30:46,292 --> 00:30:48,329
And yet it is true that certain
566
00:30:48,398 --> 00:30:51,366
SNP patterns are more prevalent
in some places than others.
567
00:30:54,300 --> 00:30:55,474
There are several clues
568
00:30:55,543 --> 00:30:58,270
that can link you back to areas
569
00:30:58,339 --> 00:31:02,481
and specific regions
where your ancestors evolved.
570
00:31:02,550 --> 00:31:04,724
The companies are doing
the best they can with the data
571
00:31:04,793 --> 00:31:06,209
that they have.
572
00:31:06,278 --> 00:31:09,868
And that's why all the DNA
testing companies are trying
573
00:31:09,937 --> 00:31:15,701
to add more discrete populations
to their database,
574
00:31:15,770 --> 00:31:21,949
so that when they don't assign
your population perfectly,
575
00:31:22,018 --> 00:31:25,159
they're as close
as they possibly can be.
576
00:31:25,228 --> 00:31:28,921
Bessie and Anita
are finding that whatever their flaws,
577
00:31:28,990 --> 00:31:34,375
DNA ancestry tests, by making
people think about their roots,
578
00:31:34,444 --> 00:31:38,241
can help them to better
appreciate human diversity.
579
00:31:38,310 --> 00:31:40,450
the north of Africa,
Middle East,
580
00:31:40,519 --> 00:31:42,314
the western Europe, but I was...
581
00:31:42,383 --> 00:31:43,729
It makes people think of
582
00:31:43,798 --> 00:31:49,114
their stories in relation to
other people in the whole story
583
00:31:49,183 --> 00:31:50,701
of human migration.
584
00:31:50,770 --> 00:31:54,533
Most people have felt this to be
a positive experience.
585
00:31:54,602 --> 00:31:58,261
Tyquine Golden's
results from FamilyTreeDNA
586
00:31:58,330 --> 00:31:59,503
are very close
587
00:31:59,572 --> 00:32:01,954
to those he received
from Ancestry.
588
00:32:02,023 --> 00:32:03,024
Can't ignore it now.
589
00:32:03,093 --> 00:32:04,819
The whole, like,
590
00:32:04,888 --> 00:32:08,857
Ireland and U.K. part
of the DNA.
591
00:32:08,927 --> 00:32:10,342
Let me ask, do you think you're
592
00:32:10,411 --> 00:32:13,034
as authentically Black
as she is?
593
00:32:13,103 --> 00:32:14,760
I don't think it makes
a difference.
594
00:32:14,829 --> 00:32:16,451
They sat there
595
00:32:16,520 --> 00:32:19,316
and had a conversation
about race
596
00:32:19,385 --> 00:32:23,527
that was fun and exciting
and joining.
597
00:32:23,596 --> 00:32:25,081
And if that can happen
598
00:32:25,150 --> 00:32:28,429
more and more,
what are the possibilities?
599
00:32:31,777 --> 00:32:35,194
But as difficult
as determining ancestry may be,
600
00:32:35,263 --> 00:32:38,818
the toughest challenge
the DTCs are taking on
601
00:32:38,887 --> 00:32:43,340
may be assessing
our genetic disease risks.
602
00:32:43,409 --> 00:32:44,721
Because when it comes
to the accuracy
603
00:32:44,790 --> 00:32:50,382
of those tests,
the stakes couldn't be higher.
604
00:32:50,451 --> 00:32:52,522
We all face the risk
of developing
605
00:32:52,591 --> 00:32:55,111
life-threatening diseases.
606
00:32:55,180 --> 00:32:56,664
But some of us face
607
00:32:56,733 --> 00:33:01,048
a greater risk because of
variations in our genes...
608
00:33:01,117 --> 00:33:06,743
deviations from the precise
sequence of As, Cs, Gs and Ts
609
00:33:06,812 --> 00:33:08,193
that form the genetic code
610
00:33:08,262 --> 00:33:10,574
for making proteins,
611
00:33:10,643 --> 00:33:14,061
the critical molecules
that keep our bodies working.
612
00:33:14,130 --> 00:33:16,856
It is hard to believe that
a single letter change
613
00:33:16,925 --> 00:33:18,997
could affect a human being
so profoundly
614
00:33:19,066 --> 00:33:21,896
among this huge string
of three billion letters.
615
00:33:21,965 --> 00:33:24,933
But then you get those
critical places
616
00:33:25,003 --> 00:33:27,660
where if you've made
that specific change,
617
00:33:27,729 --> 00:33:30,905
the protein simply doesn't work
anymore.
618
00:33:30,974 --> 00:33:34,564
Several of
the DTCs now offer testing
619
00:33:34,633 --> 00:33:37,187
for genetic health risks.
620
00:33:37,256 --> 00:33:40,121
But how reliable are they?
621
00:33:40,190 --> 00:33:41,950
Most of those tests
622
00:33:42,020 --> 00:33:46,231
look only at selected SNPs and
ignore the rest of the genome,
623
00:33:46,300 --> 00:33:48,957
where other risks
may be lurking.
624
00:33:49,027 --> 00:33:52,858
Risks that they will
inevitably miss.
625
00:33:52,927 --> 00:33:56,965
One example:
23andMe's controversial test
626
00:33:57,035 --> 00:33:59,865
for breast cancer risk.
627
00:33:59,934 --> 00:34:03,248
It looks at two genes
called B-R-C-A,
628
00:34:03,317 --> 00:34:05,940
or "bra-ka" genes.
629
00:34:06,009 --> 00:34:09,909
They code for proteins
that control cell growth.
630
00:34:09,978 --> 00:34:12,291
But certain base pair variations
631
00:34:12,360 --> 00:34:14,017
derail the BRCA genes,
632
00:34:14,086 --> 00:34:18,090
and make some cancers...
such as pancreatic,
633
00:34:18,159 --> 00:34:23,164
prostate, and especially ovarian
and breast cancer... more likely.
634
00:34:23,233 --> 00:34:28,825
Scientists have documented
close to 4,000 such variations.
635
00:34:28,894 --> 00:34:34,831
23andMe sells a SNP test
that looks for three of them.
636
00:34:34,900 --> 00:34:38,938
They're among the variations
that put women at very high risk
637
00:34:39,007 --> 00:34:40,630
for breast cancer.
638
00:34:40,699 --> 00:34:44,565
Each can be reliably detected
by SNP testing.
639
00:34:44,634 --> 00:34:48,258
And each is ten times
more common in women who have
640
00:34:48,327 --> 00:34:52,400
Ashkenazi Jewish ancestry.
641
00:34:52,469 --> 00:34:57,578
Jessica Algazi, a 52-year-old
entertainment lawyer
642
00:34:57,647 --> 00:35:01,720
in Los Angeles, has three
Ashkenazi grandparents.
643
00:35:03,411 --> 00:35:08,106
In 2018, she takes the 23andMe
BRCA test,
644
00:35:08,175 --> 00:35:11,764
having no idea
it will change her life.
645
00:35:11,833 --> 00:35:16,114
One day, when she's playing
golf, she gets an email.
646
00:35:16,183 --> 00:35:19,047
I get the results
as I'm sitting on a golf course
647
00:35:19,117 --> 00:35:22,741
in a golf cart and I looked down
and like, "Oh my God,
648
00:35:22,810 --> 00:35:24,294
I can't believe this."
649
00:35:24,363 --> 00:35:27,366
23andMe reports that she has
650
00:35:27,435 --> 00:35:30,818
a BRCA 1 variation
that makes it highly likely
651
00:35:30,887 --> 00:35:34,201
she will develop ovarian
or breast cancer.
652
00:35:34,270 --> 00:35:37,307
A second test by a DNA lab
653
00:35:37,376 --> 00:35:41,208
that specializes in BRCA testing
confirms it.
654
00:35:41,277 --> 00:35:44,038
Although she is cancer-free
for now,
655
00:35:44,107 --> 00:35:45,971
she makes a decision.
656
00:35:46,040 --> 00:35:50,320
My gynecologist said, you know,
657
00:35:50,389 --> 00:35:52,667
"Jess, you got to do
something now.
658
00:35:52,736 --> 00:35:55,083
"You'll have your ovaries
and tubes removed
659
00:35:55,153 --> 00:35:59,812
and you need to have
a double mastectomy right away."
660
00:35:59,881 --> 00:36:03,678
And so, I'm just grateful that
I was able to find out in time
661
00:36:03,747 --> 00:36:05,335
to do something
before I got sick.
662
00:36:05,404 --> 00:36:08,821
I'm eternally grateful
to the folks at 23andMe
663
00:36:08,890 --> 00:36:11,376
for giving me that opportunity.
664
00:36:11,445 --> 00:36:14,758
They quite possibly
saved my life.
665
00:36:14,827 --> 00:36:18,693
But most women
who have BRCA variations don't have
666
00:36:18,762 --> 00:36:22,490
any of the three that 23andMe
tests for.
667
00:36:22,559 --> 00:36:25,838
Women like Pamela Munster.
668
00:36:25,907 --> 00:36:27,081
She happens to be
669
00:36:27,150 --> 00:36:29,325
an oncologist in San Francisco
670
00:36:29,394 --> 00:36:32,224
who specializes
in breast cancer.
671
00:36:32,293 --> 00:36:33,984
I have the BRCA1 gene...
672
00:36:34,053 --> 00:36:38,057
She has no
Ashkenazi Jewish ancestry.
673
00:36:38,126 --> 00:36:44,098
In 2010, Pamela takes 23andMe's
BRCA test herself.
674
00:36:44,167 --> 00:36:45,375
What I learned is that
675
00:36:45,444 --> 00:36:48,516
I didn't have much of
a breast cancer risk,
676
00:36:48,585 --> 00:36:50,553
and by 23andMe's reckon,
677
00:36:50,622 --> 00:36:52,520
my breast cancer risk
was actually quite low.
678
00:36:52,589 --> 00:36:58,250
But in 2012, Pamela
is diagnosed with breast cancer.
679
00:36:58,319 --> 00:37:02,461
And the way that my
cancer looked under the microscope,
680
00:37:02,530 --> 00:37:05,223
I had the sense that
this breast cancer
681
00:37:05,292 --> 00:37:06,810
was associated with a
BRCA mutation.
682
00:37:06,879 --> 00:37:11,125
To confirm her
hunch, Pamela has her DNA tested
683
00:37:11,194 --> 00:37:14,266
by what's known
as a clinical lab,
684
00:37:14,335 --> 00:37:16,717
the kind doctors use.
685
00:37:16,786 --> 00:37:20,272
They don't just look at
scattered SNPs.
686
00:37:20,341 --> 00:37:24,138
They look at every single
base pair in genes...
687
00:37:25,760 --> 00:37:29,799
A process known as sequencing.
688
00:37:29,868 --> 00:37:32,664
They go through the entire
BRCA gene.
689
00:37:32,733 --> 00:37:37,116
And they... remember, these are
like 80,000 base pairs.
690
00:37:37,185 --> 00:37:38,739
And they can tell you
is the letter there,
691
00:37:38,808 --> 00:37:39,912
is the letter not there.
692
00:37:39,981 --> 00:37:43,330
Pamela turns out to be right.
693
00:37:43,399 --> 00:37:46,436
She does have a BRCA2 mutation.
694
00:37:46,505 --> 00:37:50,820
But it's not any of the three
variants 23andMe tests for.
695
00:37:50,889 --> 00:37:54,444
It's one of the thousands
of others.
696
00:37:54,513 --> 00:37:58,206
If I just want to know
who I'm related to, 23andMe,
697
00:37:58,276 --> 00:38:00,726
Ancestry are very good tests.
698
00:38:00,795 --> 00:38:03,798
If you want to know,
do you carry a BRCA gene
699
00:38:03,867 --> 00:38:06,145
and are you at risk
for breast cancer?
700
00:38:06,214 --> 00:38:11,185
I think 23andMe
is not an ideal test.
701
00:38:11,254 --> 00:38:15,845
But 23andMe
says that its BRCA test has alerted
702
00:38:15,914 --> 00:38:20,056
some 3,000 people
to their cancer risk.
703
00:38:20,125 --> 00:38:23,266
And that choosing these
three variants makes sense,
704
00:38:23,335 --> 00:38:27,546
because they confer
such high risks.
705
00:38:27,615 --> 00:38:30,204
What these
variations mean for someone's risks
706
00:38:30,273 --> 00:38:32,793
is very, very well understood.
707
00:38:32,862 --> 00:38:36,037
The studies that have shown
near, nearly half of people
708
00:38:36,106 --> 00:38:38,316
carrying one of these variants
don't realize it.
709
00:38:38,385 --> 00:38:42,561
So it's great for those people
who were not even thinking
710
00:38:42,630 --> 00:38:43,976
they were carrying that mutation
711
00:38:44,045 --> 00:38:46,772
to pick it up with
direct-to-consumer testing.
712
00:38:46,841 --> 00:38:49,637
It's not a good thing
if those people think
713
00:38:49,706 --> 00:38:54,746
they have been exhaustively
tested because they have not.
714
00:38:57,404 --> 00:38:59,371
And there are also concerns
715
00:38:59,440 --> 00:39:03,341
about how test-takers' data
is used.
716
00:39:03,410 --> 00:39:04,790
In 2018,
717
00:39:04,859 --> 00:39:08,863
23andMe agrees to share
anonymized information
718
00:39:08,932 --> 00:39:11,176
about millions of its customers
719
00:39:11,245 --> 00:39:14,352
with GlaxoSmithKline
to use in the development
720
00:39:14,421 --> 00:39:17,251
of new drugs.
721
00:39:17,320 --> 00:39:22,187
23andMe says some 80% of its
customers have given consent
722
00:39:22,256 --> 00:39:25,880
for their data to be used
in research.
723
00:39:27,710 --> 00:39:30,402
Most have also filled in
health questionnaires,
724
00:39:30,471 --> 00:39:34,164
enabling valuable links
to be made between their genes,
725
00:39:34,233 --> 00:39:36,822
and their health histories.
726
00:39:36,891 --> 00:39:38,824
The potential of what you can do
with that information
727
00:39:38,893 --> 00:39:40,481
is just astounding.
728
00:39:40,550 --> 00:39:43,173
But while the possible rewards
729
00:39:43,242 --> 00:39:46,073
of the deal seem clear, to some,
730
00:39:46,142 --> 00:39:48,662
it raises ethical questions.
731
00:39:48,731 --> 00:39:50,595
You're actually paying
your money to give your data
732
00:39:50,664 --> 00:39:51,768
to a company.
733
00:39:51,837 --> 00:39:54,219
And then it will be
capitalized on
734
00:39:54,288 --> 00:39:57,395
potentially without benefit
to you.
735
00:39:57,464 --> 00:39:59,189
When you're dealing with
such a new technology,
736
00:39:59,258 --> 00:40:03,331
I think the full implications
can't possibly be understood
737
00:40:03,401 --> 00:40:05,782
by consumers because things are
just too new.
738
00:40:07,750 --> 00:40:13,411
So how safe is the
data of 23andMe's 12 million customers?
739
00:40:13,480 --> 00:40:14,757
We do not sell data.
740
00:40:14,826 --> 00:40:19,071
We do not share your data
with any insurance company
741
00:40:19,140 --> 00:40:22,730
or any employer, hard stop,
without your consent.
742
00:40:24,422 --> 00:40:27,045
Federal law
prohibits most employers from using
743
00:40:27,114 --> 00:40:31,118
genetic data to make
workplace decisions.
744
00:40:31,187 --> 00:40:33,672
And prohibits health insurers
from using it
745
00:40:33,741 --> 00:40:36,468
to change or deny coverage.
746
00:40:36,537 --> 00:40:38,366
But disability
and life insurance companies
747
00:40:38,436 --> 00:40:40,852
are free to use it.
748
00:40:40,921 --> 00:40:45,546
While 23andMe and FamilyTreeDNA
talked with "NOVA"
749
00:40:45,615 --> 00:40:47,652
about these issues,
750
00:40:47,721 --> 00:40:52,795
AncestryDNA declined
to participate in this film.
751
00:40:54,900 --> 00:40:57,247
The risks inherent
in new technologies
752
00:40:57,316 --> 00:40:58,870
often become obvious
753
00:40:58,939 --> 00:41:01,631
only in hindsight.
754
00:41:01,700 --> 00:41:05,463
Chelsea Rustad could never
had predicted that her DNA test
755
00:41:05,532 --> 00:41:09,501
might lead the police
to a dangerous murder suspect.
756
00:41:09,570 --> 00:41:13,781
They found him using
a new investigative technique
757
00:41:13,850 --> 00:41:18,786
that springs directly from
the rise of consumer testing.
758
00:41:18,855 --> 00:41:21,686
It's called genetic genealogy.
759
00:41:21,755 --> 00:41:24,896
And before it was used
to solve crimes,
760
00:41:24,965 --> 00:41:29,003
it was used by people looking
for their birth parents.
761
00:41:29,072 --> 00:41:32,835
One of its pioneers
is a retired patent lawyer
762
00:41:32,904 --> 00:41:34,699
named Barbara Rae-Venter.
763
00:41:34,768 --> 00:41:35,700
I really backed into
764
00:41:35,769 --> 00:41:37,460
this whole thing.
765
00:41:37,529 --> 00:41:42,396
Because I was doing, uh...
unknown parentage type work
766
00:41:42,465 --> 00:41:44,260
with adoptees.
767
00:41:44,329 --> 00:41:46,745
For adoptees, DNA has been huge,
768
00:41:46,814 --> 00:41:49,817
because for them to try
and figure out
769
00:41:49,886 --> 00:41:52,164
who their birth relatives were
just using paper,
770
00:41:52,233 --> 00:41:53,856
very, very difficult.
771
00:41:53,925 --> 00:41:57,480
Barbara starts by
connecting the adoptee to the people
772
00:41:57,549 --> 00:42:00,552
in their DNA match list.
773
00:42:00,621 --> 00:42:07,248
Then by digging through records,
she finds more relatives.
774
00:42:07,317 --> 00:42:12,771
The goal: find an ancestor
who links everyone together
775
00:42:12,840 --> 00:42:15,947
and points directly
to the birth parent.
776
00:42:16,016 --> 00:42:22,574
In 2017, Barbara is asked
by investigators in California
777
00:42:22,643 --> 00:42:25,508
to try to solve
a different kind of mystery:
778
00:42:25,577 --> 00:42:29,374
one of the nation's
most notorious cold cases.
779
00:42:30,927 --> 00:42:33,102
The so-called
Golden State Killer
780
00:42:33,171 --> 00:42:34,379
was suspected of committing
781
00:42:34,448 --> 00:42:38,348
at least 13 murders
and more than 50 rapes
782
00:42:38,417 --> 00:42:41,904
during the 1970s and '80s.
783
00:42:44,631 --> 00:42:46,598
Police have long had his DNA,
784
00:42:46,667 --> 00:42:49,394
but they have no idea who he is.
785
00:42:50,878 --> 00:42:51,776
Barbara agrees to help.
786
00:42:54,088 --> 00:42:57,022
From the crime scene DNA,
a SNP profile is made,
787
00:42:57,091 --> 00:43:00,267
and then uploaded to GEDmatch.
788
00:43:00,336 --> 00:43:05,513
Using the relatives who pop up,
Barbara creates a family tree
789
00:43:05,583 --> 00:43:07,999
and eventually zeroes in
790
00:43:08,068 --> 00:43:11,589
on a man named Joseph DeAngelo.
791
00:43:11,658 --> 00:43:16,524
A one-time policeman, DeAngelo
had never been under suspicion.
792
00:43:16,594 --> 00:43:22,254
Police collect his DNA
and run an STR test.
793
00:43:22,323 --> 00:43:25,292
The result:
a perfect match with the DNA
794
00:43:25,361 --> 00:43:29,192
of the Golden State Killer.
795
00:43:29,261 --> 00:43:30,608
Murder in the first degree...
796
00:43:30,677 --> 00:43:32,782
that charge, sir,
how do you plead?
797
00:43:32,851 --> 00:43:36,130
In June 2020,
Joseph DeAngelo pleads guilty
798
00:43:36,199 --> 00:43:38,132
to 13 counts of murder.
799
00:43:38,201 --> 00:43:39,444
Guilty.
800
00:43:39,513 --> 00:43:41,377
He is
sentenced to life in prison.
801
00:43:43,551 --> 00:43:45,484
At the time
of DeAngelo's arrest,
802
00:43:45,553 --> 00:43:48,039
Detective Jim Scharf
is amazed to learn
803
00:43:48,108 --> 00:43:52,802
what's been accomplished
using genetic genealogy.
804
00:43:52,871 --> 00:43:56,426
He quickly thinks about
Tanya and Jay.
805
00:43:56,495 --> 00:43:59,119
He reaches out
to a computer scientist
806
00:43:59,188 --> 00:44:04,780
he's been working with
in Virginia... Steve Armentrout.
807
00:44:04,849 --> 00:44:06,954
So do I need to hardwire
the number in here
808
00:44:07,023 --> 00:44:08,853
or am I doing a calculation?
809
00:44:08,922 --> 00:44:12,270
Steve's
company, Parabon NanoLabs,
810
00:44:12,339 --> 00:44:15,376
has developed methods
and software for sifting through
811
00:44:15,445 --> 00:44:17,516
hundreds of thousands of SNPs.
812
00:44:17,585 --> 00:44:21,141
We first have
to get DNA from the crime scene
813
00:44:21,210 --> 00:44:25,076
into a format that can be used
for uploading.
814
00:44:25,145 --> 00:44:27,941
Jim gave us the okay
on a Thursday.
815
00:44:28,010 --> 00:44:28,942
On Friday,
816
00:44:29,011 --> 00:44:32,359
we were uploading to GEDmatch.
817
00:44:33,809 --> 00:44:35,086
Steve has teamed up
818
00:44:35,155 --> 00:44:36,466
with a genetic genealogist
819
00:44:36,535 --> 00:44:39,815
in California, CeCe Moore.
820
00:44:39,884 --> 00:44:41,161
On Saturday morning,
821
00:44:41,230 --> 00:44:44,612
I rolled out of bed
before I even put my contact in,
822
00:44:44,682 --> 00:44:48,444
and flipped open my laptop to
see if we had that match list.
823
00:44:48,513 --> 00:44:49,687
And we did.
824
00:44:49,756 --> 00:44:55,451
GEDmatch shows two people
who each share around 3%
825
00:44:55,520 --> 00:44:58,972
with the unknown suspect.
826
00:44:59,041 --> 00:45:03,252
So to have two people that
shared about 3% of their DNA
827
00:45:03,321 --> 00:45:05,703
or enough to be a second cousin
with the suspect
828
00:45:05,772 --> 00:45:08,188
did feel like getting struck
by lightning.
829
00:45:08,257 --> 00:45:11,950
Second cousins will share
830
00:45:12,019 --> 00:45:13,572
a set of great-grandparents,
831
00:45:13,641 --> 00:45:14,953
and that's not that far back
in the tree.
832
00:45:15,022 --> 00:45:16,472
In genealogy,
833
00:45:16,541 --> 00:45:20,165
I can almost always get back
to someone's great-grandparents.
834
00:45:20,234 --> 00:45:27,000
One of CeCe's
two top matches is Chelsea Rustad.
835
00:45:27,069 --> 00:45:32,039
The other is a cousin who's
never been publicly identified.
836
00:45:32,108 --> 00:45:34,904
They both share DNA
with the suspect.
837
00:45:34,973 --> 00:45:38,563
But don't share any
with each other.
838
00:45:38,632 --> 00:45:40,668
That meant that they represented
different branches
839
00:45:40,738 --> 00:45:42,774
of the suspect's family tree.
840
00:45:42,843 --> 00:45:44,776
I really lucked out.
841
00:45:44,845 --> 00:45:50,161
I found an obituary from a woman
who was carrying the surname
842
00:45:50,230 --> 00:45:53,578
that I had just seen in
the other match's family tree.
843
00:45:53,647 --> 00:45:54,855
So that told me
844
00:45:54,924 --> 00:45:56,857
we have a woman from this tree
845
00:45:56,926 --> 00:45:59,480
and a man from this tree
who have married.
846
00:45:59,549 --> 00:46:01,172
And hopefully had children.
847
00:46:01,241 --> 00:46:05,624
CeCe knows that if
they did, those children would carry
848
00:46:05,693 --> 00:46:10,043
a mix of DNA very similar
to that of the suspect.
849
00:46:10,112 --> 00:46:13,701
The couple had four children.
850
00:46:13,771 --> 00:46:18,051
We got really lucky that there
was only one male in this family
851
00:46:18,120 --> 00:46:21,433
because the genetic genealogy
was pointing at one person
852
00:46:21,502 --> 00:46:22,918
and only one person,
853
00:46:22,987 --> 00:46:25,196
and that was
William Earl Talbott II.
854
00:46:30,166 --> 00:46:32,134
At the time of the murders,
855
00:46:32,203 --> 00:46:34,584
Talbott lived a few miles
from the bridge
856
00:46:34,653 --> 00:46:38,692
where Jay Cook's body was found.
857
00:46:38,761 --> 00:46:41,695
Now, he is 55.
858
00:46:41,764 --> 00:46:43,179
A truck driver.
859
00:46:43,248 --> 00:46:46,355
The police follow him.
860
00:46:46,424 --> 00:46:49,185
They want his DNA
861
00:46:49,254 --> 00:46:50,566
to see if it matches the DNA
862
00:46:50,635 --> 00:46:53,603
from the crime scene.
863
00:46:53,672 --> 00:46:56,054
One day they get lucky.
864
00:46:56,123 --> 00:47:00,093
A drinking cup falls out
of his truck.
865
00:47:00,162 --> 00:47:02,716
Jim Scharf brings the cup
866
00:47:02,785 --> 00:47:04,822
to the Washington State Patrol
Crime Lab
867
00:47:04,891 --> 00:47:07,238
for STR testing.
868
00:47:07,307 --> 00:47:11,621
Lab supervisor Lisa Collins
asks him to wait.
869
00:47:11,690 --> 00:47:14,728
Soon, she returns.
870
00:47:14,797 --> 00:47:18,490
Lisa turned and
handed me the report and said,
871
00:47:18,559 --> 00:47:20,009
"Jim, it's him.
872
00:47:20,078 --> 00:47:21,873
There's a match."
873
00:47:21,942 --> 00:47:24,738
And I couldn't believe it.
874
00:47:24,807 --> 00:47:27,258
My eyes teared up.
875
00:47:27,327 --> 00:47:29,294
I yelled out a scream.
876
00:47:29,363 --> 00:47:30,951
"This is wonderful.
877
00:47:31,020 --> 00:47:33,264
We finally got this guy."
878
00:47:36,163 --> 00:47:38,959
On May 17, 2018,
879
00:47:39,028 --> 00:47:41,168
William Earl Talbott II
880
00:47:41,237 --> 00:47:44,102
is arrested on a charge
of first degree murder
881
00:47:44,171 --> 00:47:48,348
for a 31-year-old crime.
882
00:47:48,417 --> 00:47:51,006
He's a man who was identified
883
00:47:51,075 --> 00:47:54,595
not because he took a DNA test,
884
00:47:54,664 --> 00:47:56,459
but because a relative did.
885
00:47:56,528 --> 00:47:58,945
Someone he'd never even met.
886
00:48:00,912 --> 00:48:05,848
In June 2019, the jury
delivers its verdict.
887
00:48:05,917 --> 00:48:08,886
We the jury find the
defendant William Earl Talbott II
888
00:48:08,955 --> 00:48:11,095
guilty of the crime
of first degree murder
889
00:48:11,164 --> 00:48:13,614
as charged in count one.
890
00:48:13,683 --> 00:48:17,515
Talbott is the first
suspect identified by genetic genealogy
891
00:48:17,584 --> 00:48:21,174
ever to be convicted by a jury.
892
00:48:21,243 --> 00:48:22,313
He is soon sentenced
893
00:48:22,382 --> 00:48:26,351
to two consecutive life terms
in prison.
894
00:48:26,420 --> 00:48:28,595
It has been reiterated to me
895
00:48:28,664 --> 00:48:31,046
so many times
by the investigators
896
00:48:31,115 --> 00:48:35,326
that they wouldn't have come
this far without my DNA.
897
00:48:35,395 --> 00:48:37,569
It would have been
dead in the water.
898
00:48:37,638 --> 00:48:41,194
Since Talbott's
conviction, the Parabon team has used
899
00:48:41,263 --> 00:48:43,782
genetic genealogy to identify
900
00:48:43,851 --> 00:48:47,269
more than a hundred
criminal suspects.
901
00:48:47,338 --> 00:48:50,410
But just being named
by a genealogist isn't enough
902
00:48:50,479 --> 00:48:51,687
to get a person arrested.
903
00:48:51,756 --> 00:48:56,243
We have to get confirmation DNA
904
00:48:56,312 --> 00:48:59,453
using STR testing
before we have probable cause
905
00:48:59,522 --> 00:49:01,869
to make an arrest.
906
00:49:01,939 --> 00:49:06,702
Even so, to critics,
the use of genetic genealogy
907
00:49:06,771 --> 00:49:10,740
by law enforcement
raises privacy questions.
908
00:49:10,809 --> 00:49:14,089
Do we want to catch people
who have committed heinous crimes?
909
00:49:14,158 --> 00:49:15,849
Absolutely, yes.
910
00:49:15,918 --> 00:49:18,783
But what DNA profiles are being
trolled through?
911
00:49:18,852 --> 00:49:21,613
What failed attempts
to find suspects
912
00:49:21,682 --> 00:49:22,821
are we not hearing about
913
00:49:22,890 --> 00:49:24,858
and the data violations
and privacy violations
914
00:49:24,927 --> 00:49:26,515
that happen along the way?
915
00:49:26,584 --> 00:49:30,553
The genetic genealogy
team at Parabon says the fears
916
00:49:30,622 --> 00:49:32,659
are exaggerated.
917
00:49:32,728 --> 00:49:34,005
People have control
918
00:49:34,074 --> 00:49:37,802
over whether their DNA is used
in these investigations.
919
00:49:37,871 --> 00:49:41,288
Simply taking a DNA test
at 23andMe, at Ancestry,
920
00:49:41,357 --> 00:49:44,912
your DNA is in their
private database.
921
00:49:44,982 --> 00:49:49,227
But there's little
regulation, and policies vary.
922
00:49:49,296 --> 00:49:55,095
In 2019, FamilyTreeDNA
apologized for letting the FBI
923
00:49:55,164 --> 00:49:57,753
search its database
for people who share DNA
924
00:49:57,822 --> 00:50:01,688
with crime scene samples
without customers' permission.
925
00:50:01,757 --> 00:50:03,414
FamilyTreeDNA and GEDmatch
926
00:50:03,483 --> 00:50:08,660
both now say they only do so
with explicit permission.
927
00:50:08,729 --> 00:50:12,112
And another worry:
consumer DNA companies,
928
00:50:12,181 --> 00:50:17,704
like any that collect data,
are vulnerable to hackers.
929
00:50:17,773 --> 00:50:23,675
Yet the risks are clearly
not deterring everyone.
930
00:50:23,744 --> 00:50:27,472
No one is forcing anyone to take
a DNA test.
931
00:50:27,541 --> 00:50:32,374
If your paranoia,
and fear of Big Brother
932
00:50:32,443 --> 00:50:35,308
is greater than your interest
933
00:50:35,377 --> 00:50:38,242
in reading the medical
and history book
934
00:50:38,311 --> 00:50:41,762
written into your cells, then I
think that you should not test.
935
00:50:44,075 --> 00:50:46,422
There's beauty in, you know,
understanding where you're from,
936
00:50:46,491 --> 00:50:47,561
and then searching for that.
937
00:50:47,630 --> 00:50:49,874
The consumer DNA phenomenon
938
00:50:49,943 --> 00:50:53,257
is changing many people's lives
939
00:50:53,326 --> 00:50:55,673
by revealing the secrets
that lie hidden
940
00:50:55,742 --> 00:50:58,883
deep inside ourselves.
941
00:50:58,952 --> 00:51:04,682
But are its benefits worth
its cost and risks?
942
00:51:04,751 --> 00:51:07,064
Do I want to know that I'm at
risk for Alzheimer's
943
00:51:07,133 --> 00:51:10,826
when there's absolutely nothing
I can do about it?
944
00:51:10,895 --> 00:51:12,207
Maybe not.
945
00:51:12,276 --> 00:51:15,796
With these DNA
tests as popular as they are,
946
00:51:15,865 --> 00:51:17,074
the chances are
947
00:51:17,143 --> 00:51:19,455
that everyone who has had
a secret of this nature
948
00:51:19,524 --> 00:51:21,768
kept from them
is gonna find out.
949
00:51:21,837 --> 00:51:28,119
Our hearts and our minds don't
know fully how to grapple with
950
00:51:28,188 --> 00:51:30,156
what we're being asked
to grapple with.
951
00:51:31,985 --> 00:51:37,818
I think the surge in
DNA testing over the last 20 years
952
00:51:37,887 --> 00:51:40,235
has opened people's minds
to the possibility
953
00:51:40,304 --> 00:51:43,583
that they share more
with other people
954
00:51:43,652 --> 00:51:45,240
than what they thought they did.
955
00:51:45,309 --> 00:51:48,346
That 1% that makes us different
956
00:51:48,415 --> 00:51:53,593
is really just the beautiful
diversity in the natural world.
957
00:51:53,662 --> 00:51:56,147
And it's not that
one genotype or genome
958
00:51:56,216 --> 00:51:57,597
is better than another.
959
00:51:57,666 --> 00:51:59,254
It's just they're beautifully
different.
960
00:51:59,323 --> 00:52:01,221
The more we are tested,
961
00:52:01,290 --> 00:52:04,845
the more we see how connected
we are to each other.
962
00:52:04,914 --> 00:52:07,848
And perhaps, if we see that
we're connected to each other,
963
00:52:07,917 --> 00:52:10,299
we'll treat each other
a little bit better.
74903
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