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These are the user uploaded subtitles that are being translated: 1 00:00:20,813 --> 00:00:26,336 A family secret exposed. 2 00:00:26,405 --> 00:00:29,546 If my father wasn't my biological father, who was? 3 00:00:29,615 --> 00:00:32,135 Something very, very important was kept from me. 4 00:00:32,204 --> 00:00:34,551 A hidden legacy... 5 00:00:34,620 --> 00:00:36,829 revealed. 6 00:00:36,898 --> 00:00:40,833 Somewhere in slavery that 20% might've been integrated 7 00:00:40,902 --> 00:00:42,007 with our DNA, 8 00:00:42,076 --> 00:00:44,216 and that might not have been voluntary. 9 00:00:44,285 --> 00:00:46,736 A life-threatening illness... 10 00:00:46,805 --> 00:00:49,325 prevented. 11 00:00:49,394 --> 00:00:51,361 They quite possibly saved my life. 12 00:00:51,430 --> 00:00:56,884 And a decades-old murder finally solved. 13 00:00:57,954 --> 00:00:59,473 Without my DNA, 14 00:00:59,542 --> 00:01:00,646 it would have been dead in the water. 15 00:01:02,131 --> 00:01:03,718 Just a few of the millions of stories 16 00:01:03,787 --> 00:01:06,273 launched by one of the most popular 17 00:01:06,342 --> 00:01:10,829 and promising new technologies... 18 00:01:10,898 --> 00:01:15,696 consumer DNA testing. 19 00:01:15,765 --> 00:01:19,148 With a swab, or a bit of spit, 20 00:01:19,217 --> 00:01:21,357 some 30 million of us have turned over 21 00:01:21,426 --> 00:01:24,084 our most personal information 22 00:01:24,153 --> 00:01:26,189 hoping to discover 23 00:01:26,258 --> 00:01:27,846 what's hidden inside us. 24 00:01:27,915 --> 00:01:30,607 But what do the tests really deliver? 25 00:01:30,676 --> 00:01:33,403 Spain, Portugal... 26 00:01:33,472 --> 00:01:34,818 Norway?! 27 00:01:34,887 --> 00:01:37,131 How good is the science? 28 00:01:37,200 --> 00:01:40,341 And how are the tests changing our lives? 29 00:01:40,410 --> 00:01:41,722 I just couldn't believe it. 30 00:01:41,791 --> 00:01:44,759 I was on the phone with my older sister. 31 00:01:44,828 --> 00:01:47,624 In search of clues... 32 00:01:47,693 --> 00:01:49,592 "The Secrets in Our DNA," 33 00:01:49,661 --> 00:01:52,974 right now, on "NOVA"! 34 00:02:01,604 --> 00:02:02,536 It's a promise 35 00:02:02,605 --> 00:02:06,712 many of us just can't resist. 36 00:02:06,781 --> 00:02:11,924 Send in your DNA and unlock secrets about family... 37 00:02:12,684 --> 00:02:15,583 ancestry... 38 00:02:15,652 --> 00:02:17,654 and even health. 39 00:02:17,723 --> 00:02:21,658 It's rare that something comes along that is truly new. 40 00:02:21,727 --> 00:02:23,833 And this is something that's truly new. 41 00:02:25,421 --> 00:02:26,836 But just how reliable 42 00:02:26,905 --> 00:02:28,493 are consumer DNA tests, 43 00:02:28,562 --> 00:02:32,186 and their scientific-looking ancestry percentages? 44 00:02:33,670 --> 00:02:38,192 Should we worry about our privacy? 45 00:02:38,261 --> 00:02:41,782 What are the unforeseen consequences when we reveal 46 00:02:41,851 --> 00:02:44,819 the "Secrets in Our DNA"? 47 00:03:03,942 --> 00:03:05,599 In the suburbs of Olympia, Washington, 48 00:03:05,668 --> 00:03:09,775 one woman finds out just how unpredictable 49 00:03:09,844 --> 00:03:13,227 those consequences can be. 50 00:03:13,296 --> 00:03:16,782 Chelsea Rustad, who works as an I.T. specialist, 51 00:03:16,851 --> 00:03:20,061 is an avid family historian. 52 00:03:20,130 --> 00:03:21,753 In 2015, 53 00:03:21,822 --> 00:03:23,996 she takes a test with the biggest 54 00:03:24,065 --> 00:03:27,862 of the direct-to-consumer companies... AncestryDNA. 55 00:03:27,931 --> 00:03:29,174 People end up 56 00:03:29,243 --> 00:03:31,694 doing it oftentimes because, "I just wanna learn 57 00:03:31,763 --> 00:03:33,765 about my ancestral background." 58 00:03:33,834 --> 00:03:36,561 But then something else pops up that they really 59 00:03:36,630 --> 00:03:38,114 were not expecting at all, 60 00:03:38,183 --> 00:03:39,460 and that's exactly what this was for me. 61 00:03:39,529 --> 00:03:41,531 The test results 62 00:03:41,600 --> 00:03:43,671 suggest that Chelsea is mostly of Norwegian 63 00:03:43,740 --> 00:03:46,398 and German ancestry. 64 00:03:46,467 --> 00:03:50,885 Then, because she's also curious to find new relatives, 65 00:03:50,954 --> 00:03:54,026 she downloads her raw file from Ancestry, 66 00:03:54,095 --> 00:03:58,721 and uploads it to a free website called GEDmatch. 67 00:03:58,790 --> 00:04:00,895 It's a place where anyone 68 00:04:00,964 --> 00:04:03,967 can search for matches no matter what company they tested with. 69 00:04:06,315 --> 00:04:09,041 GEDmatch shows Chelsea everyone else on the site 70 00:04:09,110 --> 00:04:12,562 who shares DNA with her. 71 00:04:12,631 --> 00:04:14,978 It's kind of humbling 72 00:04:15,047 --> 00:04:16,980 and interesting to see those interconnections, 73 00:04:17,049 --> 00:04:20,467 to realize the sheer number of people that we share 74 00:04:20,536 --> 00:04:23,090 some percentage of DNA with and don't even realize it. 75 00:04:23,159 --> 00:04:28,302 On GEDmatch, Chelsea sees an aunt whom she knows, 76 00:04:28,371 --> 00:04:30,787 but no new close relatives. 77 00:04:32,272 --> 00:04:35,792 She logs off, and doesn't check the site again. 78 00:04:37,967 --> 00:04:40,487 Three years go by. 79 00:04:40,556 --> 00:04:45,146 And then, on the evening of May 17, 2018, 80 00:04:45,215 --> 00:04:48,874 Chelsea gets some unexpected visitors. 81 00:04:48,943 --> 00:04:50,186 I look through the peephole 82 00:04:50,255 --> 00:04:53,948 and see that there are two cops waiting outside there. 83 00:04:54,017 --> 00:04:57,262 And when I opened the door, they introduced themselves 84 00:04:57,331 --> 00:05:00,541 as investigators who are looking into a homicide 85 00:05:00,610 --> 00:05:05,097 that was a cold case from 31 years ago. 86 00:05:05,166 --> 00:05:07,962 They've come to her door as a result of that DNA file 87 00:05:08,031 --> 00:05:10,413 she posted on GEDmatch. 88 00:05:10,482 --> 00:05:14,452 To her amazement, they tell her that her DNA 89 00:05:14,521 --> 00:05:17,247 has led them to a suspect. 90 00:05:22,598 --> 00:05:26,878 It was just really a lot to take in and really shocking. 91 00:05:26,947 --> 00:05:28,742 Every step of what they explained to me 92 00:05:28,811 --> 00:05:29,743 is a horror story. 93 00:05:36,612 --> 00:05:38,303 Chelsea's hopeful search for relatives 94 00:05:38,372 --> 00:05:40,063 has taken a dark turn... 95 00:05:40,132 --> 00:05:42,411 into the hunt for a killer. 96 00:05:43,964 --> 00:05:48,244 Someone she's related to. 97 00:05:51,005 --> 00:05:53,353 Though her story is unusual, it shows that 98 00:05:53,422 --> 00:05:55,665 consumer DNA companies can fulfill 99 00:05:55,734 --> 00:05:58,288 one of their biggest promises 100 00:05:58,358 --> 00:06:01,499 extremely well: connecting us to our relatives. 101 00:06:05,848 --> 00:06:08,022 Direct-to-consumer, 102 00:06:08,091 --> 00:06:10,300 or DTC DNA testing, 103 00:06:10,370 --> 00:06:12,441 is a billion-dollar business 104 00:06:12,510 --> 00:06:15,651 made possible by the simple rules of heredity. 105 00:06:15,720 --> 00:06:17,756 We inherit our DNA 106 00:06:17,825 --> 00:06:19,896 from both of our parents. 107 00:06:19,965 --> 00:06:22,761 50% from mom, 50% from dad. 108 00:06:22,830 --> 00:06:25,315 And they inherit it from their parents. 109 00:06:25,385 --> 00:06:28,836 And their parents, of course, inherited it from their parents. 110 00:06:28,905 --> 00:06:33,979 Our parents each contribute about 50% to our DNA. 111 00:06:34,048 --> 00:06:38,190 And the same is true for them and their parents. 112 00:06:38,259 --> 00:06:41,504 So the amount of DNA we inherit from any ancestor 113 00:06:41,573 --> 00:06:46,026 drops by half with each preceding generation. 114 00:06:46,095 --> 00:06:49,892 We also share DNA with anyone who shares a common ancestor 115 00:06:49,961 --> 00:06:54,241 with us: siblings, half-siblings, first cousins, 116 00:06:54,310 --> 00:06:56,416 second cousins and so on. 117 00:07:00,247 --> 00:07:03,215 The way that the DTCs determine those relationships 118 00:07:03,284 --> 00:07:05,977 is by comparing people's DNA. 119 00:07:06,046 --> 00:07:08,980 The amount that is shared is measured in a unit 120 00:07:09,049 --> 00:07:12,639 called centimorgans. 121 00:07:12,708 --> 00:07:14,019 The more centimorgans two people share, 122 00:07:14,088 --> 00:07:16,090 the closer they are related. 123 00:07:16,159 --> 00:07:18,438 And the fewer centimorgans they share, 124 00:07:18,507 --> 00:07:20,543 the more distantly related they are. 125 00:07:22,165 --> 00:07:25,445 But with the DTCs, a relationship to someone 126 00:07:25,514 --> 00:07:29,725 can't always be determined just by counting centimorgans. 127 00:07:29,794 --> 00:07:32,624 Because the numbers fall within ranges. 128 00:07:32,693 --> 00:07:35,316 You might share the same number with a cousin, 129 00:07:35,385 --> 00:07:37,733 and a great-uncle, for example. 130 00:07:37,802 --> 00:07:40,218 Just because you have an amount of shared DNA doesn't mean 131 00:07:40,287 --> 00:07:45,154 you actually know for sure what that person's relationship is, 132 00:07:45,223 --> 00:07:46,673 it's just a probability... 133 00:07:46,742 --> 00:07:49,296 a spectrum of possible relationships. 134 00:07:51,056 --> 00:07:55,682 June Smith lives in New Jersey, not far from Philadelphia. 135 00:07:55,751 --> 00:07:59,513 In 2018, she takes a consumer DNA test, 136 00:07:59,582 --> 00:08:03,517 hoping to solve a longstanding mystery. 137 00:08:03,586 --> 00:08:08,833 She's spent years searching for her roots. 138 00:08:08,902 --> 00:08:11,491 When June was 16, growing up in Philadelphia, 139 00:08:11,560 --> 00:08:16,426 the woman she knew as her mother revealed a secret. 140 00:08:16,496 --> 00:08:20,672 She said, "Your mother was a white woman," 141 00:08:20,741 --> 00:08:22,778 and I said, "A white woman?" 142 00:08:22,847 --> 00:08:25,090 which was totally shocking to me. 143 00:08:25,159 --> 00:08:30,199 Her biological mother's name was Ann D'Amico. 144 00:08:30,268 --> 00:08:33,858 June has never learned the identity of her father. 145 00:08:33,927 --> 00:08:37,309 When June takes her test 146 00:08:37,378 --> 00:08:39,519 with AncestryDNA, she checks the box 147 00:08:39,588 --> 00:08:42,867 asking to be linked to any customers with whom 148 00:08:42,936 --> 00:08:46,111 she shares DNA. 149 00:08:46,180 --> 00:08:49,287 Though she knows Ann has died, 150 00:08:49,356 --> 00:08:53,740 there's someone else she desperately wants to find. 151 00:08:53,809 --> 00:08:57,744 While digging into Ann's life story, June learned that 152 00:08:57,813 --> 00:09:01,575 she'd given birth to another biracial daughter, 153 00:09:01,644 --> 00:09:03,750 who had a different father. 154 00:09:03,819 --> 00:09:06,856 A girl named Joan Moser, 155 00:09:06,925 --> 00:09:09,583 June's older half-sister. 156 00:09:09,652 --> 00:09:11,620 I set out to search for her. 157 00:09:11,689 --> 00:09:13,725 And I would go on websites, I would do 158 00:09:13,794 --> 00:09:17,418 all kind of people searches looking for Joan Moser. 159 00:09:17,487 --> 00:09:20,767 But we could never come up with her. 160 00:09:20,836 --> 00:09:24,322 One day, June receives a message on her Ancestry page, 161 00:09:24,391 --> 00:09:27,083 telling her she has a new match 162 00:09:27,152 --> 00:09:28,878 with a close relative... 163 00:09:28,947 --> 00:09:33,227 a woman named Sigrid Gilchrist. 164 00:09:33,296 --> 00:09:35,022 She'd also grown up in Philadelphia, 165 00:09:35,091 --> 00:09:36,886 the only child of a Black couple 166 00:09:36,955 --> 00:09:39,579 active in the civil rights movement. 167 00:09:41,857 --> 00:09:45,101 But at 16, Sigrid learned a long-hidden truth 168 00:09:45,170 --> 00:09:47,794 from her mother. 169 00:09:47,863 --> 00:09:50,417 She told me I was adopted. 170 00:09:50,486 --> 00:09:54,248 That my mother was Italian and my father was Black. 171 00:09:54,317 --> 00:09:56,596 It was crushing. 172 00:09:56,665 --> 00:09:58,494 I had no idea. 173 00:09:58,563 --> 00:10:00,979 In the years that followed, 174 00:10:01,048 --> 00:10:02,291 Sigrid never connected 175 00:10:02,360 --> 00:10:04,983 with any of her biological relatives. 176 00:10:05,052 --> 00:10:09,263 Until, by pure chance, right around the time 177 00:10:09,332 --> 00:10:13,992 that June tests with Ancestry, Sigrid does too. 178 00:10:14,061 --> 00:10:16,616 Ancestry reports that the two women, 179 00:10:16,685 --> 00:10:21,966 who share 1,641 centimorgans, may be first cousins. 180 00:10:22,035 --> 00:10:25,038 But June can't help wondering: 181 00:10:25,107 --> 00:10:29,214 might Sigrid be someone even closer? 182 00:10:32,010 --> 00:10:32,977 The two women agree 183 00:10:33,046 --> 00:10:35,289 to talk on the phone. 184 00:10:35,358 --> 00:10:37,947 She said, "I have three questions to ask you." 185 00:10:38,016 --> 00:10:39,431 I said, "Okay." 186 00:10:39,500 --> 00:10:41,848 I said, "Were you adopted?" 187 00:10:41,917 --> 00:10:44,885 She said, "I was." 188 00:10:44,954 --> 00:10:47,405 I said, "Are you biracial?" 189 00:10:47,474 --> 00:10:49,821 She said, "I am." 190 00:10:49,890 --> 00:10:53,687 I said, "Would your birth mother name happen to be Ann D'Amico?" 191 00:10:53,756 --> 00:10:57,898 I said, "Yes, that was her name, my biological mother." 192 00:10:57,967 --> 00:11:00,694 She said, "Are you Joan Moser?" 193 00:11:00,763 --> 00:11:04,249 And then I said, "That was the name on my birth certificate." 194 00:11:04,318 --> 00:11:07,632 I said, "Oh my God, you're my sister. 195 00:11:07,701 --> 00:11:09,772 You're not my cousin." 196 00:11:09,841 --> 00:11:12,326 We cried and I just couldn't believe it. 197 00:11:12,395 --> 00:11:15,398 I was on the phone with my older sister. 198 00:11:18,574 --> 00:11:20,576 Yes. 199 00:11:20,645 --> 00:11:24,891 It was just like we've known each other forever. 200 00:11:24,960 --> 00:11:29,723 One-on-one spirit feeling that you can't describe. 201 00:11:33,071 --> 00:11:35,004 Finding my sister gave me 202 00:11:35,073 --> 00:11:38,525 a sense of belonging. 203 00:11:38,594 --> 00:11:42,046 It gave me a sense of saying, 204 00:11:42,115 --> 00:11:44,186 "Hey, you know, we got the same blood." 205 00:11:44,255 --> 00:11:46,050 But I do see... 206 00:11:46,119 --> 00:11:47,292 Looks like me... you. 207 00:11:47,361 --> 00:11:48,604 Yes. Mm-hmm. 208 00:11:48,673 --> 00:11:50,744 Look at the chin. Yeah. I can tell. 209 00:11:50,813 --> 00:11:53,885 It's good having an older sister. 210 00:11:53,954 --> 00:11:56,474 I don't like being older, but it's okay. 211 00:11:56,543 --> 00:12:01,410 I love having a younger sister. 212 00:12:01,479 --> 00:12:02,825 She understands. 213 00:12:02,894 --> 00:12:04,309 Yeah, yeah. 214 00:12:07,105 --> 00:12:09,038 People like Sigrid and June 215 00:12:09,107 --> 00:12:11,731 can be connected by the DTCs 216 00:12:11,800 --> 00:12:16,736 thanks to an amazing recent discovery about DNA. 217 00:12:16,805 --> 00:12:20,981 We've known for a long time that the DNA molecule, 218 00:12:21,050 --> 00:12:24,640 which we carry in almost every cell in our body, 219 00:12:24,709 --> 00:12:29,127 contains the code that directs our lives. 220 00:12:29,196 --> 00:12:34,615 The code is carried in chemical building blocks called bases. 221 00:12:34,684 --> 00:12:38,102 Known as A, C, G and T, 222 00:12:38,171 --> 00:12:41,553 they form pairs to create the familiar ladder-like 223 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 225 00:12:47,870 --> 00:12:51,632 to make up our complete genome. 226 00:12:51,701 --> 00:12:53,531 But since 2003, 227 00:12:53,600 --> 00:12:57,328 when scientists first read through all of those base pairs, 228 00:12:57,397 --> 00:13:00,193 they've discovered a surprising fact 229 00:13:00,262 --> 00:13:03,161 about more than 99% of them. 230 00:13:03,230 --> 00:13:05,336 If you look at any two people, 231 00:13:05,405 --> 00:13:10,203 the vast, vast majority of their DNA is exactly the same. 232 00:13:10,272 --> 00:13:13,862 Because all of the things that keep you alive, 233 00:13:13,931 --> 00:13:16,105 I mean, all of that has to be the same, it can't change. 234 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. 236 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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