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These are the user uploaded subtitles that are being translated: 1 00:00:07,866 --> 00:00:13,300 A family secret exposed. 2 00:00:13,333 --> 00:00:16,600 If my father wasn't my biological father, who was? 3 00:00:16,633 --> 00:00:19,200 Something very, very important was kept from me. 4 00:00:19,233 --> 00:00:21,700 A hidden legacy... 5 00:00:21,733 --> 00:00:23,866 revealed. 6 00:00:23,900 --> 00:00:27,966 Somewhere in slavery that 20% might've been integrated 7 00:00:28,000 --> 00:00:29,066 with our DNA, 8 00:00:29,100 --> 00:00:31,266 and that might not have been voluntary. 9 00:00:31,300 --> 00:00:33,866 A life-threatening illness... 10 00:00:33,900 --> 00:00:36,333 prevented. 11 00:00:36,366 --> 00:00:38,400 They quite possibly saved my life. 12 00:00:38,433 --> 00:00:44,200 And a decades-old murder finally solved. 13 00:00:45,033 --> 00:00:46,533 Without my DNA, 14 00:00:46,566 --> 00:00:48,006 it would have been dead in the water. 15 00:00:49,100 --> 00:00:50,776 Just a few of the millions of stories 16 00:00:50,800 --> 00:00:53,400 launched by one of the most popular 17 00:00:53,433 --> 00:00:57,933 and promising new technologies... 18 00:00:57,966 --> 00:01:02,833 consumer DNA testing. 19 00:01:02,866 --> 00:01:06,266 With a swab, or a bit of spit, 20 00:01:06,300 --> 00:01:08,500 some 30 million of us have turned over 21 00:01:08,533 --> 00:01:11,233 our most personal information 22 00:01:11,266 --> 00:01:13,366 hoping to discover 23 00:01:13,400 --> 00:01:14,933 what's hidden inside us. 24 00:01:14,966 --> 00:01:17,800 But what do the tests really deliver? 25 00:01:17,833 --> 00:01:20,600 Spain, Portugal... 26 00:01:20,633 --> 00:01:21,933 Norway?! 27 00:01:21,966 --> 00:01:24,200 How good is the science? 28 00:01:24,233 --> 00:01:27,400 And how are the tests changing our lives? 29 00:01:27,433 --> 00:01:28,776 I just couldn't believe it. 30 00:01:28,800 --> 00:01:31,800 I was on the phone with my older sister. 31 00:01:31,833 --> 00:01:34,733 In search of clues... 32 00:01:34,766 --> 00:01:36,733 "The Secrets in Our DNA," 33 00:01:36,766 --> 00:01:40,100 right now, on "NOVA"! 34 00:02:01,633 --> 00:02:02,666 It's a promise 35 00:02:02,700 --> 00:02:06,866 many of us just can't resist. 36 00:02:06,900 --> 00:02:12,266 Send in your DNA and unlock secrets about family... 37 00:02:12,833 --> 00:02:15,700 ...ancestry... 38 00:02:15,733 --> 00:02:17,800 ...and even health. 39 00:02:17,833 --> 00:02:21,766 It's rare that something comes along that is truly new. 40 00:02:21,800 --> 00:02:24,166 And this is something that's truly new. 41 00:02:25,433 --> 00:02:27,000 But just how reliable 42 00:02:27,033 --> 00:02:28,533 are consumer DNA tests, 43 00:02:28,566 --> 00:02:32,300 and their scientific-looking ancestry percentages? 44 00:02:33,666 --> 00:02:38,266 Should we worry about our privacy? 45 00:02:38,300 --> 00:02:41,900 What are the unforeseen consequences when we reveal 46 00:02:41,933 --> 00:02:44,933 the "Secrets in Our DNA"? 47 00:03:04,066 --> 00:03:05,666 In the suburbs of Olympia, Washington, 48 00:03:05,700 --> 00:03:09,933 one woman finds out just how unpredictable 49 00:03:09,966 --> 00:03:13,366 those consequences can be. 50 00:03:13,400 --> 00:03:16,900 Chelsea Rustad, who works as an I.T. specialist, 51 00:03:16,933 --> 00:03:20,233 is an avid family historian. 52 00:03:20,266 --> 00:03:21,866 In 2015, 53 00:03:21,900 --> 00:03:24,066 she takes a test with the biggest 54 00:03:24,100 --> 00:03:27,966 of the direct-to-consumer companies... AncestryDNA. 55 00:03:28,000 --> 00:03:29,233 People end up 56 00:03:29,266 --> 00:03:31,833 doing it oftentimes because, "I just wanna learn 57 00:03:31,866 --> 00:03:33,933 about my ancestral background." 58 00:03:33,966 --> 00:03:36,700 But then something else pops up that they really 59 00:03:36,733 --> 00:03:38,300 were not expecting at all, 60 00:03:38,333 --> 00:03:39,542 and that's exactly what this was for me. 61 00:03:39,566 --> 00:03:41,566 The test results 62 00:03:41,600 --> 00:03:43,800 suggest that Chelsea is mostly of Norwegian 63 00:03:43,833 --> 00:03:46,466 and German ancestry. 64 00:03:46,500 --> 00:03:50,900 Then, because she's also curious to find new relatives, 65 00:03:50,933 --> 00:03:54,100 she downloads her raw file from Ancestry, 66 00:03:54,133 --> 00:03:58,800 and uploads it to a free website called GEDmatch. 67 00:03:58,833 --> 00:04:01,000 It's a place where anyone 68 00:04:01,033 --> 00:04:04,333 can search for matches no matter what company they tested with. 69 00:04:06,366 --> 00:04:09,233 GEDmatch shows Chelsea everyone else on the site 70 00:04:09,266 --> 00:04:12,666 who shares DNA with her. 71 00:04:12,700 --> 00:04:15,066 It's kind of humbling 72 00:04:15,100 --> 00:04:17,066 and interesting to see those interconnections, 73 00:04:17,100 --> 00:04:20,533 to realize the sheer number of people that we share 74 00:04:20,566 --> 00:04:23,100 some percentage of DNA with and don't even realize it. 75 00:04:23,133 --> 00:04:28,433 On GEDmatch, Chelsea sees an aunt whom she knows, 76 00:04:28,466 --> 00:04:30,966 but no new close relatives. 77 00:04:32,333 --> 00:04:35,933 She logs off, and doesn't check the site again. 78 00:04:38,066 --> 00:04:40,600 Three years go by. 79 00:04:40,633 --> 00:04:45,200 And then, on the evening of May 17, 2018, 80 00:04:45,233 --> 00:04:48,933 Chelsea gets some unexpected visitors. 81 00:04:48,966 --> 00:04:50,276 I look through the peephole 82 00:04:50,300 --> 00:04:53,966 and see that there are two cops waiting outside there. 83 00:04:54,000 --> 00:04:57,366 And when I opened the door, they introduced themselves 84 00:04:57,400 --> 00:05:00,633 as investigators who are looking into a homicide 85 00:05:00,666 --> 00:05:05,133 that was a cold case from 31 years ago. 86 00:05:05,166 --> 00:05:08,166 They've come to her door as a result of that DNA file 87 00:05:08,200 --> 00:05:10,500 she posted on GEDmatch. 88 00:05:10,533 --> 00:05:14,600 To her amazement, they tell her that her DNA 89 00:05:14,633 --> 00:05:17,400 has led them to a suspect. 90 00:05:22,700 --> 00:05:26,933 It was just really a lotto take in and really shocking. 91 00:05:26,966 --> 00:05:28,900 Every step of what they explained to me 92 00:05:28,933 --> 00:05:29,900 is a horror story. 93 00:05:36,600 --> 00:05:38,466 Chelsea's hopeful search for relatives 94 00:05:38,500 --> 00:05:40,200 has taken a dark turn... 95 00:05:40,233 --> 00:05:42,766 into the hunt for a killer. 96 00:05:44,066 --> 00:05:48,566 Someone she's related to. 97 00:05:51,000 --> 00:05:53,400 Though her story is unusual, it shows that 98 00:05:53,433 --> 00:05:55,766 consumer DNA companies can fulfill 99 00:05:55,800 --> 00:05:58,366 one of their biggest promises 100 00:05:58,400 --> 00:06:01,666 extremely well: connecting us to our relatives. 101 00:06:05,966 --> 00:06:08,200 Direct-to-consumer, 102 00:06:08,233 --> 00:06:10,466 or DTC DNA testing, 103 00:06:10,500 --> 00:06:12,533 is a billion-dollar business 104 00:06:12,566 --> 00:06:15,733 made possible by the simple rules of heredity. 105 00:06:15,766 --> 00:06:17,900 We inherit our DNA 106 00:06:17,933 --> 00:06:20,033 from both of our parents. 107 00:06:20,066 --> 00:06:22,900 50% from mom, 50% from dad. 108 00:06:22,933 --> 00:06:25,466 And they inherit it from their parents. 109 00:06:25,500 --> 00:06:28,833 And their parents, of course, inherited it from their parents. 110 00:06:28,866 --> 00:06:34,033 Our parents each contribute about 50% to our DNA. 111 00:06:34,066 --> 00:06:38,266 And the same is true for them and their parents. 112 00:06:38,300 --> 00:06:41,600 So the amount of DNA we inherit from any ancestor 113 00:06:41,633 --> 00:06:46,066 drops by half with each preceding generation. 114 00:06:46,100 --> 00:06:49,933 We also share DNA with anyone who shares a common ancestor 115 00:06:49,966 --> 00:06:54,366 with us: siblings, half-siblings, first cousins, 116 00:06:54,400 --> 00:06:56,533 second cousins and so on. 117 00:07:00,333 --> 00:07:03,400 The way that the DTCs determine those relationships 118 00:07:03,433 --> 00:07:06,066 is by comparing people's DNA. 119 00:07:06,100 --> 00:07:09,166 The amount that is shared is measured in a unit 120 00:07:09,200 --> 00:07:12,733 called centimorgans. 121 00:07:12,766 --> 00:07:14,176 The more centimorgans two people share, 122 00:07:14,200 --> 00:07:16,166 the closer they are related. 123 00:07:16,200 --> 00:07:18,533 And the fewer centimorgans they share, 124 00:07:18,566 --> 00:07:20,933 the more distantly related they are. 125 00:07:22,200 --> 00:07:25,500 But with the DTCs, a relationship to someone 126 00:07:25,533 --> 00:07:29,833 can't always be determined just by counting centimorgans. 127 00:07:29,866 --> 00:07:32,733 Because the numbers fall within ranges. 128 00:07:32,766 --> 00:07:35,400 You might share the same number with a cousin, 129 00:07:35,433 --> 00:07:37,900 and a great-uncle, for example. 130 00:07:37,933 --> 00:07:40,366 Just because you have an amount of shared DNA doesn't mean 131 00:07:40,400 --> 00:07:45,300 you actually know for sure what that person's relationship is, 132 00:07:45,333 --> 00:07:46,733 it's just a probability... 133 00:07:46,766 --> 00:07:49,633 a spectrum of possible relationships. 134 00:07:51,100 --> 00:07:55,766 June Smith lives in New Jersey, not far from Philadelphia. 135 00:07:55,800 --> 00:07:59,633 In 2018, she takes a consumer DNA test, 136 00:07:59,666 --> 00:08:03,666 hoping to solve a longstanding mystery. 137 00:08:03,700 --> 00:08:08,933 She's spent years searching for her roots. 138 00:08:08,966 --> 00:08:11,633 When June was 16, growing up in Philadelphia, 139 00:08:11,666 --> 00:08:16,600 the woman she knew as her mother revealed a secret. 140 00:08:16,633 --> 00:08:20,866 She said, "Your mother was a white woman," 141 00:08:20,900 --> 00:08:22,933 and I said, "A white woman?" 142 00:08:22,966 --> 00:08:25,200 which was totally shocking to me. 143 00:08:25,233 --> 00:08:30,266 Her biological mother's name was Ann D'Amico. 144 00:08:30,300 --> 00:08:34,033 June has never learned the identity of her father. 145 00:08:34,066 --> 00:08:37,366 When June takes her test 146 00:08:37,400 --> 00:08:39,600 with AncestryDNA, she checks the box 147 00:08:39,633 --> 00:08:43,033 asking to be linked to any customers with whom 148 00:08:43,066 --> 00:08:46,233 she shares DNA. 149 00:08:46,266 --> 00:08:49,333 Though she knows Ann has died, 150 00:08:49,366 --> 00:08:53,833 there's someone else she desperately wants to find. 151 00:08:53,866 --> 00:08:57,800 While digging into Ann's life story, June learned that 152 00:08:57,833 --> 00:09:01,766 she'd given birth to another biracial daughter, 153 00:09:01,800 --> 00:09:03,966 who had a different father. 154 00:09:04,000 --> 00:09:07,033 A girl named Joan Moser, 155 00:09:07,066 --> 00:09:09,766 June's older half-sister. 156 00:09:09,800 --> 00:09:11,733 I set out to search for her. 157 00:09:11,766 --> 00:09:13,866 And I would go on websites, I would do 158 00:09:13,900 --> 00:09:17,533 all kind of people searches looking for Joan Moser. 159 00:09:17,566 --> 00:09:20,800 But we could never come up with her. 160 00:09:20,833 --> 00:09:24,533 One day, June receives a message on her Ancestry page, 161 00:09:24,566 --> 00:09:27,300 telling her she has a new match 162 00:09:27,333 --> 00:09:29,066 with a close relative... 163 00:09:29,100 --> 00:09:33,333 a woman named Sigrid Gilchrist. 164 00:09:33,366 --> 00:09:35,200 She'd also grown up in Philadelphia, 165 00:09:35,233 --> 00:09:36,966 the only child of a Black couple 166 00:09:37,000 --> 00:09:39,933 active in the civil rights movement. 167 00:09:41,900 --> 00:09:45,300 But at 16, Sigrid learned a long-hidden truth 168 00:09:45,333 --> 00:09:47,966 from her mother. 169 00:09:48,000 --> 00:09:50,566 She told me I was adopted. 170 00:09:50,600 --> 00:09:54,433 That my mother was Italian and my father was Black. 171 00:09:54,466 --> 00:09:56,733 It was crushing. 172 00:09:56,766 --> 00:09:58,566 I had no idea. 173 00:09:58,600 --> 00:10:01,100 In the years that followed, 174 00:10:01,133 --> 00:10:02,366 Sigrid never connected 175 00:10:02,400 --> 00:10:05,033 with any of her biological relatives. 176 00:10:05,066 --> 00:10:09,333 Until, by pure chance, right around the time 177 00:10:09,366 --> 00:10:14,033 that June tests with Ancestry, Sigrid does too. 178 00:10:14,066 --> 00:10:16,633 Ancestry reports that the two women, 179 00:10:16,666 --> 00:10:22,066 who share 1,641 centimorgans, may be first cousins. 180 00:10:22,100 --> 00:10:25,100 But June can't help wondering: 181 00:10:25,133 --> 00:10:29,533 might Sigrid be someone even closer? 182 00:10:32,066 --> 00:10:33,066 The two women agree 183 00:10:33,100 --> 00:10:35,333 to talk on the phone. 184 00:10:35,366 --> 00:10:38,066 She said, "I have three questions to ask you." 185 00:10:38,100 --> 00:10:39,533 I said, "Okay." 186 00:10:39,566 --> 00:10:41,933 I said, "Were you adopted?" 187 00:10:41,966 --> 00:10:44,966 She said, "I was." 188 00:10:45,000 --> 00:10:47,500 I said, "Are you biracial?" 189 00:10:47,533 --> 00:10:49,866 She said, "I am." 190 00:10:49,900 --> 00:10:53,700 I said, "Would your birth mothername happen to be Ann D'Amico?" 191 00:10:53,733 --> 00:10:58,000 I said, "Yes, that was her name, my biological mother." 192 00:10:58,033 --> 00:11:00,733 She said, "Are you Joan Moser?" 193 00:11:00,766 --> 00:11:04,300 And then I said, "That was the name on my birth certificate." 194 00:11:04,333 --> 00:11:07,766 I said, "Oh my God, you're my sister. 195 00:11:07,800 --> 00:11:09,833 You're not my cousin." 196 00:11:09,866 --> 00:11:12,366 We cried and I just couldn't believe it. 197 00:11:12,400 --> 00:11:15,733 I was on the phone with my older sister. 198 00:11:18,666 --> 00:11:20,566 Yes. 199 00:11:20,600 --> 00:11:24,966 It was just like we've known each other forever. 200 00:11:25,000 --> 00:11:29,833 One-on-one spirit feeling that you can't describe. 201 00:11:33,066 --> 00:11:35,100 Finding my sister gave me 202 00:11:35,133 --> 00:11:38,633 a sense of belonging. 203 00:11:38,666 --> 00:11:42,133 It gave me a sense of saying, 204 00:11:42,166 --> 00:11:44,333 "Hey, you know, we got the same blood." 205 00:11:44,366 --> 00:11:46,100 But I do see... 206 00:11:46,133 --> 00:11:47,366 Looks like me... you. 207 00:11:47,400 --> 00:11:48,666 Yes. Mm-hmm. 208 00:11:48,700 --> 00:11:50,833 Look at the chin.Yeah. I can tell. 209 00:11:50,866 --> 00:11:53,900 It's good havingan older sister. 210 00:11:53,933 --> 00:11:56,400 I don't like being older, but it's okay. 211 00:11:56,433 --> 00:12:01,600 : I love having a younger sister. 212 00:12:01,633 --> 00:12:02,966 She understands. 213 00:12:03,000 --> 00:12:04,466 Yeah, yeah. 214 00:12:07,133 --> 00:12:09,166 People like Sigrid and June 215 00:12:09,200 --> 00:12:11,766 can be connected by the DTCs 216 00:12:11,800 --> 00:12:16,766 thanks to an amazing recent discovery about DNA. 217 00:12:16,800 --> 00:12:21,100 We've known for a long time that the DNA molecule, 218 00:12:21,133 --> 00:12:24,700 which we carry in almost every cell in our body, 219 00:12:24,733 --> 00:12:29,200 contains the code that directs our lives. 220 00:12:29,233 --> 00:12:34,766 The code is carried in chemical building blocks called bases. 221 00:12:34,800 --> 00:12:38,166 Known as A, C, G and T, 222 00:12:38,200 --> 00:12:41,666 they form pairs to create the familiar ladder-like 223 00:12:41,700 --> 00:12:44,433 structure of DNA. 224 00:12:44,466 --> 00:12:47,933 It takes a whopping three billion of those base pairs 225 00:12:47,966 --> 00:12:51,766 to make up our complete genome. 226 00:12:51,800 --> 00:12:53,566 But since 2003, 227 00:12:53,600 --> 00:12:57,333 when scientists first readthrough all of those base pairs, 228 00:12:57,366 --> 00:13:00,333 they've discovered a surprising fact 229 00:13:00,366 --> 00:13:03,266 about more than 99% of them. 230 00:13:03,300 --> 00:13:05,466 If you look at any two people, 231 00:13:05,500 --> 00:13:10,266 the vast, vast majority of their DNA is exactly the same. 232 00:13:10,300 --> 00:13:13,900 Because all of the things that keep you alive, 233 00:13:13,933 --> 00:13:16,233 I mean, all of that has to be the same, it can't change. 234 00:13:16,266 --> 00:13:17,833 Otherwise it doesn't work. 235 00:13:19,333 --> 00:13:22,166 But there are places in our DNA that do vary. 236 00:13:22,200 --> 00:13:23,366 Some of them are called 237 00:13:23,400 --> 00:13:29,200 single nucleotide polymorphisms, or SNPs. 238 00:13:29,233 --> 00:13:32,400 They're spots where most of us have one kind of base pair 239 00:13:32,433 --> 00:13:35,966 but some of us have another. 240 00:13:36,000 --> 00:13:39,533 So instead of trying to identify all three billion 241 00:13:39,566 --> 00:13:41,833 of a customer's base pairs, 242 00:13:41,866 --> 00:13:43,600 the DTCs do something 243 00:13:43,633 --> 00:13:45,966 that's cheaper and faster. 244 00:13:46,000 --> 00:13:48,666 They only check out a customer's SNPs. 245 00:13:48,700 --> 00:13:52,766 Usually about 700,000 of them. 246 00:13:52,800 --> 00:13:56,700 And comparing people's SNPs is an efficient way 247 00:13:56,733 --> 00:13:58,633 to see if they're related. 248 00:13:58,666 --> 00:14:00,333 Because when their SNPs match up, 249 00:14:00,366 --> 00:14:05,366 all the DNA in between the SNPs is usually identical too. 250 00:14:05,400 --> 00:14:07,300 And matching DNA segments 251 00:14:07,333 --> 00:14:12,566 are the telltale signs of a family relationship. 252 00:14:12,600 --> 00:14:15,966 By looking at the amount of shared DNA, 253 00:14:16,000 --> 00:14:19,933 direct-to-consumer tests can give a quite accurate picture 254 00:14:19,966 --> 00:14:24,400 of relationships between individuals. 255 00:14:24,433 --> 00:14:29,900 FamilyTreeDNA in Houston is one of the four biggest DTCs. 256 00:14:31,100 --> 00:14:34,900 Like many of them, the lynchpin of its operation 257 00:14:34,933 --> 00:14:37,466 is its technology for reading SNPs. 258 00:14:37,500 --> 00:14:43,600 And this is it: a small piece of glass called a SNP chip. 259 00:14:43,633 --> 00:14:47,966 It contains hundreds of thousands of tiny beads. 260 00:14:48,000 --> 00:14:52,766 Each one holds a short piece of DNA called a probe. 261 00:14:52,800 --> 00:14:56,300 And we put an individual's DNA on the chip, 262 00:14:56,333 --> 00:15:00,166 and the part of an individual's DNA 263 00:15:00,200 --> 00:15:03,133 that matches the little probe, 264 00:15:03,166 --> 00:15:05,100 they will bind together. 265 00:15:05,133 --> 00:15:08,200 Once bound, the identity of the SNP 266 00:15:08,233 --> 00:15:10,766 is revealed by a fluorescent dye. 267 00:15:10,800 --> 00:15:15,633 For example, if you have an A, you'll see green. 268 00:15:15,666 --> 00:15:18,500 If you have a G, you'll see red. 269 00:15:20,966 --> 00:15:25,033 The SNP data enables the lab to see how much DNA is shared 270 00:15:25,066 --> 00:15:29,066 by customers who've opted for family matching. 271 00:15:29,100 --> 00:15:32,900 The company website shows them their list of matches. 272 00:15:32,933 --> 00:15:37,133 It will show everyone that you're related to, 273 00:15:37,166 --> 00:15:39,366 and the estimated relationship. 274 00:15:42,166 --> 00:15:47,266 But sometimes, that match list can reveal a painful truth. 275 00:15:48,933 --> 00:15:53,000 This anonymity and taking these secrets to the grave, 276 00:15:53,033 --> 00:15:57,266 with the advent of DNA testing, it really doesn't exist anymore. 277 00:15:57,300 --> 00:16:03,133 That's what Dani Shapiro was shocked to discover. 278 00:16:03,166 --> 00:16:04,833 A novelist and memoirist, 279 00:16:04,866 --> 00:16:08,233 she's written about growing up in an Orthodox Jewish family 280 00:16:08,266 --> 00:16:09,266 in New Jersey, 281 00:16:09,300 --> 00:16:13,433 and about her parents, Irene and Paul. 282 00:16:13,466 --> 00:16:15,633 I was very, very bonded with my dad... 283 00:16:15,666 --> 00:16:17,333 much more so than with my mom. 284 00:16:17,366 --> 00:16:20,866 He worked on the floor of the New York Stock Exchange. 285 00:16:20,900 --> 00:16:22,900 And I would meet him for lunch sometimes. 286 00:16:22,933 --> 00:16:25,033 And he would come out and he would just like 287 00:16:25,066 --> 00:16:27,700 fling his arms open, just like, 288 00:16:27,733 --> 00:16:30,866 : "Hiya darling," give me this huge hug. 289 00:16:30,900 --> 00:16:32,266 It's going to make me cry. 290 00:16:32,300 --> 00:16:35,700 I loved my father. 291 00:16:35,733 --> 00:16:37,800 From childhood on, 292 00:16:37,833 --> 00:16:40,666 this Jewish daughter draws comments. 293 00:16:40,700 --> 00:16:42,100 "You don't look Jewish." 294 00:16:42,133 --> 00:16:43,142 "You can't possibly be Jewish." 295 00:16:43,166 --> 00:16:44,500 "There's no way you're Jewish." 296 00:16:44,533 --> 00:16:46,609 "Did your mother have an affair with a Swedish milkman?" 297 00:16:46,633 --> 00:16:47,966 "Shapiro your married name?" 298 00:16:48,000 --> 00:16:49,366 I could go on. 299 00:16:49,400 --> 00:16:54,000 One day in 2016, her husband, Michael Maren, 300 00:16:54,033 --> 00:16:58,266 decides to take a DNA test from Ancestry. 301 00:16:58,300 --> 00:17:02,633 Without thinking about it much, Dani decides to take one too. 302 00:17:02,666 --> 00:17:06,400 She knows that both of her parents are of Ashkenazi, 303 00:17:06,433 --> 00:17:10,633 or eastern European Jewish, descent. 304 00:17:10,666 --> 00:17:14,766 Several weeks later they get their results. 305 00:17:14,800 --> 00:17:18,300 We open them, and he's like, "Huh. 306 00:17:18,333 --> 00:17:20,033 "According to this, you're about 50-50, 307 00:17:20,066 --> 00:17:22,866 "Eastern European Ashkenazi 308 00:17:22,900 --> 00:17:25,333 "and the rest is all Western European... 309 00:17:25,366 --> 00:17:28,733 French, Irish, English, Swedish, German." 310 00:17:28,766 --> 00:17:33,900 My only response was, "Oh, well they must've made a mistake." 311 00:17:33,933 --> 00:17:37,566 It was only a few days later, my husband came in 312 00:17:37,600 --> 00:17:40,133 and he said, "You have a first cousin 313 00:17:40,166 --> 00:17:42,200 "on your Ancestry.com page. 314 00:17:42,233 --> 00:17:44,066 "A first cousin who we don't know, we don't, 315 00:17:44,100 --> 00:17:45,666 we don't know this first cousin." 316 00:17:45,700 --> 00:17:50,133 In search of clues, Dani turns to someone she's sure 317 00:17:50,166 --> 00:17:52,400 is a blood relative. 318 00:17:52,433 --> 00:17:53,642 I have a much older half-sister 319 00:17:53,666 --> 00:17:56,666 from a first marriage of my dad's. 320 00:17:56,700 --> 00:17:58,366 I recalled that 321 00:17:58,400 --> 00:18:00,800 a number of years ago she had done I think 23andMe. 322 00:18:00,833 --> 00:18:03,666 And I sent her an email and I said, 323 00:18:03,700 --> 00:18:08,700 "Do you have your results from, from the DNA test you did?" 324 00:18:08,733 --> 00:18:10,900 And she did and she sent them to me. 325 00:18:10,933 --> 00:18:14,400 Dani gives the half-sister's file to her husband. 326 00:18:14,433 --> 00:18:19,566 Using GEDmatch, he checks to seehow much DNA she and Dani share 327 00:18:19,600 --> 00:18:22,833 and discovers the truth. 328 00:18:22,866 --> 00:18:24,966 He said, "You're not sisters." 329 00:18:25,000 --> 00:18:28,866 And I said, "Not, not half-sisters?" 330 00:18:28,900 --> 00:18:30,500 'Cause that's what we were. 331 00:18:30,533 --> 00:18:32,200 And he said, "No kind of sisters. 332 00:18:32,233 --> 00:18:33,366 You're not related." 333 00:18:34,933 --> 00:18:37,700 And so that was the moment for me when all of the pieces 334 00:18:37,733 --> 00:18:41,166 began to just click into place where I thought, 335 00:18:41,200 --> 00:18:45,900 "Well, if he's not one of our fathers, he's not my father." 336 00:18:48,000 --> 00:18:50,800 Something very, very important was kept from me. 337 00:18:50,833 --> 00:18:56,733 And it felt to me like my identity was... um... 338 00:18:56,766 --> 00:18:58,700 in pieces. 339 00:19:00,366 --> 00:19:02,566 Her parents are both deceased. 340 00:19:02,600 --> 00:19:05,633 But she remembers her motheronce saying she had a hard time 341 00:19:05,666 --> 00:19:08,000 getting pregnant, 342 00:19:08,033 --> 00:19:12,266 and mentioning a fertility clinic in Philadelphia. 343 00:19:12,300 --> 00:19:15,133 Dani and her husband track down the first cousin 344 00:19:15,166 --> 00:19:17,833 who popped up on Ancestry. 345 00:19:17,866 --> 00:19:23,700 His uncle turns out to be Dani's biological father. 346 00:19:23,733 --> 00:19:27,900 A retired doctor, he'd gone tomedical school in Philadelphia, 347 00:19:27,933 --> 00:19:30,766 and had been a sperm donor at the clinic. 348 00:19:32,100 --> 00:19:33,633 She searches the internet, 349 00:19:33,666 --> 00:19:36,666 and sees a video of him giving a talk. 350 00:19:36,700 --> 00:19:38,166 I knew what I was seeing. 351 00:19:38,200 --> 00:19:41,366 And I remember getting up and walking into the bathroom, 352 00:19:41,400 --> 00:19:43,866 and looking at my facein the mirror for the first time 353 00:19:43,900 --> 00:19:46,600 after seeing him, 354 00:19:46,633 --> 00:19:49,466 and understanding my face for the first time in my life. 355 00:19:49,500 --> 00:19:53,833 Dani feels compelled to write a new book 356 00:19:53,866 --> 00:19:58,033 about family, identity, and her own experience. 357 00:19:58,066 --> 00:20:02,000 Its title: "Inheritance." 358 00:20:02,033 --> 00:20:04,133 My book is dedicated to my father. 359 00:20:04,166 --> 00:20:08,700 And sometimes someone will say to me, "Which father"? 360 00:20:08,733 --> 00:20:10,633 And I'm like, "Are you kidding?" 361 00:20:10,666 --> 00:20:14,566 My mother wanted to bear a child. 362 00:20:14,600 --> 00:20:19,500 And I think it must reallynot have been easy for my father 363 00:20:19,533 --> 00:20:22,433 to have gotten to this place where he was 364 00:20:22,466 --> 00:20:26,633 willing to genetically replace himself. 365 00:20:26,666 --> 00:20:28,766 That's what that is. 366 00:20:28,800 --> 00:20:32,200 It's saying one of us is going to be the biological parent 367 00:20:32,233 --> 00:20:34,700 of this child and one of us is not. 368 00:20:34,733 --> 00:20:39,266 And no one's ever gonna know except for us. 369 00:20:44,500 --> 00:20:46,466 Dani is far from alone. 370 00:20:46,500 --> 00:20:49,900 According to one estimate, some one million people 371 00:20:49,933 --> 00:20:52,733 have discovered from consumer DNA tests 372 00:20:52,766 --> 00:20:55,333 that the man who raised them 373 00:20:55,366 --> 00:20:57,200 is not their biological father. 374 00:20:57,233 --> 00:21:01,400 Or that they have a half-sibling they never knew about. 375 00:21:02,533 --> 00:21:05,266 And there are even darker secrets that sometimes 376 00:21:05,300 --> 00:21:08,133 come to light. 377 00:21:08,166 --> 00:21:10,700 In Washington State, in 2018, 378 00:21:10,733 --> 00:21:15,200 the secret that Chelsea Rustad's DNA helps to reveal 379 00:21:15,233 --> 00:21:16,700 could be the key 380 00:21:16,733 --> 00:21:21,800 to cracking a 31-year-old cold case. 381 00:21:21,833 --> 00:21:24,000 It's really upsetting, very distressing to think about. 382 00:21:24,033 --> 00:21:27,400 Only a monster could do such things to people. 383 00:21:29,066 --> 00:21:32,166 On November 18, 1987, 384 00:21:32,200 --> 00:21:34,400 two young Canadians... 385 00:21:34,433 --> 00:21:36,800 Jay Cook, 20 years old, 386 00:21:36,833 --> 00:21:40,933 and his girlfriend, Tanya van Cuylenborg, 18... 387 00:21:40,966 --> 00:21:45,800 leave their hometown, a suburb of Victoria, British Columbia, 388 00:21:45,833 --> 00:21:51,533 heading to Seattle, to run an errand for Jay's dad. 389 00:21:51,566 --> 00:21:56,600 Six days later, Tanya's partially clothed body 390 00:21:56,633 --> 00:21:58,333 is found by the side of this road 391 00:21:58,366 --> 00:22:00,733 in Skagit County, Washington. 392 00:22:02,000 --> 00:22:03,733 She's been shot in the head. 393 00:22:03,766 --> 00:22:07,266 And there's evidence of rape. 394 00:22:07,300 --> 00:22:10,600 Two days after that, some 65 miles away 395 00:22:10,633 --> 00:22:13,566 in Snohomish County, beneath this bridge, 396 00:22:13,600 --> 00:22:17,900 hunters find Jay's body. 397 00:22:17,933 --> 00:22:19,000 He's been strangled 398 00:22:19,033 --> 00:22:21,266 with twine and dog collars... 399 00:22:21,300 --> 00:22:24,433 his head beaten with rocks. 400 00:22:24,466 --> 00:22:28,166 We had two young totally innocent kids 401 00:22:28,200 --> 00:22:32,133 that got kidnapped and brutally murdered. 402 00:22:32,166 --> 00:22:36,600 During the investigation, police recover 403 00:22:36,633 --> 00:22:40,600 potentially precious evidence from Tanya's body: 404 00:22:40,633 --> 00:22:43,866 the assailant's DNA. 405 00:22:43,900 --> 00:22:47,200 They will run it through a lab procedure that is still 406 00:22:47,233 --> 00:22:51,266 the gold standard for proving identity with DNA. 407 00:22:51,300 --> 00:22:55,766 It zeroes in on just 20 or so places in the genome 408 00:22:55,800 --> 00:23:00,800 where a short string of letters, for example G-A-T-A, 409 00:23:00,833 --> 00:23:02,700 just keeps on repeating. 410 00:23:02,733 --> 00:23:08,433 They're called short tandem repeats, or STRs. 411 00:23:08,466 --> 00:23:09,766 And scientists can count 412 00:23:09,800 --> 00:23:13,566 the number of times they repeat. 413 00:23:13,600 --> 00:23:15,576 And those counts vary person to person 414 00:23:15,600 --> 00:23:18,300 just like the ridge lines on a fingerprint. 415 00:23:18,333 --> 00:23:21,766 It's a very powerful technique because with enough locations, 416 00:23:21,800 --> 00:23:25,100 you can do an identity match with very high probability 417 00:23:25,133 --> 00:23:26,909 because of these slight differences one person 418 00:23:26,933 --> 00:23:28,100 to the next. 419 00:23:29,300 --> 00:23:31,566 But like a crime scene fingerprint, 420 00:23:31,600 --> 00:23:35,033 a crime scene STR profile is only useful 421 00:23:35,066 --> 00:23:38,200 if it matches one that's already in the possession 422 00:23:38,233 --> 00:23:41,133 of law enforcement. 423 00:23:41,166 --> 00:23:43,666 For decades, the profile in this case 424 00:23:43,700 --> 00:23:48,866 doesn't match anyone known to the police. 425 00:23:48,900 --> 00:23:53,133 The case goes cold. 426 00:23:53,166 --> 00:23:55,100 Until the day when Chelsea Rustad 427 00:23:55,133 --> 00:23:59,700 uploads a DNA file to GEDmatch, 428 00:23:59,733 --> 00:24:01,400 where it becomes a clue 429 00:24:01,433 --> 00:24:04,366 that will eventually lead the police to a major break 430 00:24:04,400 --> 00:24:06,866 in the case. 431 00:24:10,233 --> 00:24:15,200 Chelsea's experience will make headlines. 432 00:24:15,233 --> 00:24:18,166 But most DNA test-takers just want to know, 433 00:24:18,200 --> 00:24:21,066 "What are my roots?" 434 00:24:21,100 --> 00:24:24,600 A seemingly simple question that often leads to its own 435 00:24:24,633 --> 00:24:27,033 set of mysteries. 436 00:24:27,066 --> 00:24:29,766 Don't open anything until we ask you to. 437 00:24:29,800 --> 00:24:33,766 These 14 people are about to experience 438 00:24:33,800 --> 00:24:36,666 DNA ancestry testing for themselves. 439 00:24:36,700 --> 00:24:38,800 'Cause there are so many kids I'm growing up with 440 00:24:38,833 --> 00:24:40,733 who are all in the same situation. 441 00:24:40,766 --> 00:24:42,466 We don't know our heritage. 442 00:24:42,500 --> 00:24:43,866 We could probably safely assume 443 00:24:43,900 --> 00:24:46,833 that our ancestors' ancestors had something to do 444 00:24:46,866 --> 00:24:48,600 with like slavery and things like that. 445 00:24:48,633 --> 00:24:51,766 But we don't really know where we came from. 446 00:24:51,800 --> 00:24:55,233 Cherry Richardson is taking part in a research study 447 00:24:55,266 --> 00:24:58,633 at West Chester University in Pennsylvania. 448 00:24:58,666 --> 00:25:01,766 So we have a research protocolby which we collect data 449 00:25:01,800 --> 00:25:03,433 for this particular project. 450 00:25:03,466 --> 00:25:06,533 The study is run by two communications professors... 451 00:25:06,566 --> 00:25:10,266 Bessie Lawton and Anita Foeman. 452 00:25:10,300 --> 00:25:12,533 The question they're asking is: 453 00:25:12,566 --> 00:25:17,000 how does DNA testing affect our understanding of who we are? 454 00:25:17,033 --> 00:25:18,466 And also, our ability 455 00:25:18,500 --> 00:25:20,766 to understand what makes us different? 456 00:25:20,800 --> 00:25:22,376 And after we receivethe results, 457 00:25:22,400 --> 00:25:23,466 we bring you together... 458 00:25:23,500 --> 00:25:25,400 The whole idea is to listen to each other 459 00:25:25,433 --> 00:25:26,733 and talk with one another... 460 00:25:26,766 --> 00:25:28,966 Anita was inspired to start the project 461 00:25:29,000 --> 00:25:31,066 because of her experiences 462 00:25:31,100 --> 00:25:33,033 as a diversity trainer. 463 00:25:33,066 --> 00:25:35,200 I thought looking at our DNA 464 00:25:35,233 --> 00:25:38,966 was a really interesting way toapproach this whole conversation 465 00:25:39,000 --> 00:25:42,800 about race and diversity in a way that was not going 466 00:25:42,833 --> 00:25:44,366 to make people defensive. 467 00:25:44,400 --> 00:25:45,500 And that has happened. 468 00:25:45,533 --> 00:25:47,766 We don't identify ourselves with Africa. 469 00:25:47,800 --> 00:25:49,100 We just say we're Black. 470 00:25:49,133 --> 00:25:50,200 You know, we literally 471 00:25:50,233 --> 00:25:52,066 separated from that which we came from. 472 00:25:52,100 --> 00:25:54,866 In a previous test with Ancestry, 473 00:25:54,900 --> 00:25:56,233 Tyquine Golden was told 474 00:25:56,266 --> 00:25:58,533 his roots were 80% West African, 475 00:25:58,566 --> 00:26:00,800 and 20% British. 476 00:26:00,833 --> 00:26:02,100 They got everybody. 477 00:26:02,133 --> 00:26:04,233 In today's test with FamilyTreeDNA, 478 00:26:04,266 --> 00:26:07,366 he hopes to learn more. 479 00:26:07,400 --> 00:26:11,733 My suspicions might lead me to say, somewhere in slavery, 480 00:26:11,766 --> 00:26:17,500 20% might've came in and have been integrated with our DNA. 481 00:26:17,533 --> 00:26:20,166 And that might not have been voluntary. 482 00:26:20,200 --> 00:26:22,700 I think as an African American, it's a tough thing 483 00:26:22,733 --> 00:26:25,300 to grapple with when you think about the origin 484 00:26:25,333 --> 00:26:28,666 of your Caucasian, or white ancestry, 485 00:26:28,700 --> 00:26:31,733 that often happened due to rape and mistreatment. 486 00:26:31,766 --> 00:26:33,066 But it is part of your history. 487 00:26:33,100 --> 00:26:37,800 So you have to confront iton some level and understand it. 488 00:26:37,833 --> 00:26:39,242 It's part of how you got here. 489 00:26:39,266 --> 00:26:41,333 I don't want to hide from the truth. 490 00:26:41,366 --> 00:26:44,900 No matter how bad it could be. 491 00:26:46,500 --> 00:26:48,800 Now it's time to collect DNA... 492 00:26:48,833 --> 00:26:50,200 You can turn it around 493 00:26:50,233 --> 00:26:51,500 a little bit to capture more. 494 00:26:51,533 --> 00:26:53,433 and ship the samples off to Houston. 495 00:26:56,566 --> 00:27:00,366 So how do DTCs like FamilyTreeDNA come up 496 00:27:00,400 --> 00:27:02,566 with a breakdown of your ancestry? 497 00:27:04,266 --> 00:27:06,700 It's a process that also centers around SNPs... 498 00:27:06,733 --> 00:27:09,166 those places in our DNA 499 00:27:09,200 --> 00:27:13,966 that most frequently vary between people. 500 00:27:14,000 --> 00:27:16,466 The company compares your SNPs 501 00:27:16,500 --> 00:27:20,600 with those of people in what are called reference groups... 502 00:27:20,633 --> 00:27:24,100 people alive today whose DNA has been tested 503 00:27:24,133 --> 00:27:26,133 and who share patterns of SNPs 504 00:27:26,166 --> 00:27:27,566 that scientists have found to be 505 00:27:27,600 --> 00:27:30,733 typical for the region in which they live. 506 00:27:31,866 --> 00:27:35,000 Those patterns are compiled into a database. 507 00:27:35,033 --> 00:27:38,100 But how well does it represent test-takers? 508 00:27:39,900 --> 00:27:41,066 They're telling you 509 00:27:41,100 --> 00:27:43,333 this is your background based on our database. 510 00:27:43,366 --> 00:27:44,942 Well, if something's not in their database, 511 00:27:44,966 --> 00:27:47,466 they can't tell you that it's in your background. 512 00:27:48,766 --> 00:27:50,400 The DTCs have less data 513 00:27:50,433 --> 00:27:53,633 about people of African and Asian descent than they do 514 00:27:53,666 --> 00:27:57,133 about people of European descent. 515 00:27:57,166 --> 00:28:00,700 Most of the genetic testing that has been done 516 00:28:00,733 --> 00:28:04,300 has been done on North Atlantic Europeans. 517 00:28:04,333 --> 00:28:08,866 So our reference databases are biased. 518 00:28:13,666 --> 00:28:15,109 Why don't we all just take a minute, 519 00:28:15,133 --> 00:28:16,833 and open your results, 520 00:28:16,866 --> 00:28:20,000 and take a look at the map for the first time. 521 00:28:20,033 --> 00:28:23,566 FamilyTreeDNA has given Nick Pasvanis, 522 00:28:23,600 --> 00:28:26,333 whose parents trace their ancestors to Greece, 523 00:28:26,366 --> 00:28:30,233 Germany, England, and Scotland, a detailed breakdown. 524 00:28:30,266 --> 00:28:33,100 I'm 45%Southeastern European, 525 00:28:33,133 --> 00:28:36,033 which is aboutwhat I expected. 526 00:28:36,066 --> 00:28:39,700 I've always felt like I wasjust a general European mutt. 527 00:28:39,733 --> 00:28:42,433 And that's pretty muchwhat the map shows. 528 00:28:42,466 --> 00:28:45,533 So, I was wonderingwhen I got it, like, 529 00:28:45,566 --> 00:28:47,466 if it would say if I was Black, 530 00:28:47,500 --> 00:28:50,200 and I am 94% West African, 531 00:28:50,233 --> 00:28:52,700 : so, yeah, I'm pretty Black. 532 00:28:52,733 --> 00:28:58,466 But Cherry Richardson's African bubble provides little detail. 533 00:29:00,666 --> 00:29:03,666 Hana Wiessmann and Viola Wang, 534 00:29:03,700 --> 00:29:05,600 who were both born in China, 535 00:29:05,633 --> 00:29:08,566 have even bigger bubbles. 536 00:29:08,600 --> 00:29:10,876 I mean, I have just these giant bubbles, and they're like, 537 00:29:10,900 --> 00:29:13,933 "You're super Asian," like, Ikind of already knew that, so... 538 00:29:13,966 --> 00:29:16,700 Basically, people have huge bubbles are considered 539 00:29:16,733 --> 00:29:19,133 "the minorities." 540 00:29:19,166 --> 00:29:22,800 And it's unfortunate because it perpetuates 541 00:29:22,833 --> 00:29:29,066 a kind of Eurocentrism that has tainted our scholarship. 542 00:29:29,100 --> 00:29:32,233 That is a foundation for notions, 543 00:29:32,266 --> 00:29:35,700 false notions of white supremacy. 544 00:29:35,733 --> 00:29:38,233 And it highlights the disparities 545 00:29:38,266 --> 00:29:42,100 that are currently prevalent throughout science 546 00:29:42,133 --> 00:29:44,166 and particularly in genetics. 547 00:29:44,200 --> 00:29:48,466 There's also 23% southeast with Italy and Greece highlighted, 548 00:29:48,500 --> 00:29:50,600 which was never on our radar. 549 00:29:50,633 --> 00:29:55,233 But there's another problem withthe way DTCs calculate ancestry. 550 00:29:55,266 --> 00:29:57,000 64% European... 551 00:29:57,033 --> 00:29:59,966 The DNA of peoplewho lived in a place long ago... 552 00:30:00,000 --> 00:30:02,066 your ancestors... 553 00:30:02,100 --> 00:30:04,066 may be different from the DNA of the people 554 00:30:04,100 --> 00:30:08,966 in the reference groups who live there today. 555 00:30:09,000 --> 00:30:11,466 That's because for centuries, people, 556 00:30:11,500 --> 00:30:12,866 and their DNA, 557 00:30:12,900 --> 00:30:16,900 have been moving around the globe. 558 00:30:16,933 --> 00:30:20,200 You really have to get over the hurdle of static thinking 559 00:30:20,233 --> 00:30:22,966 about human populations. 560 00:30:23,000 --> 00:30:26,533 That there are Irish genes, and Italian genes, 561 00:30:26,566 --> 00:30:31,833 and, and Nigerian genes, and Zimbabwean genes 562 00:30:31,866 --> 00:30:35,600 and that's just not the way that human evolution works. 563 00:30:35,633 --> 00:30:38,833 Because static feeds into the racist paradigm, 564 00:30:38,866 --> 00:30:43,966 feeds into the me versus you, you know, us versus them. 565 00:30:46,300 --> 00:30:48,366 And yet it is true that certain 566 00:30:48,400 --> 00:30:51,466 SNP patterns are more prevalent in some places than others. 567 00:30:54,300 --> 00:30:55,609 There are several clues 568 00:30:55,633 --> 00:30:58,266 that can link you back to areas 569 00:30:58,300 --> 00:31:02,600 and specific regions where your ancestors evolved. 570 00:31:02,633 --> 00:31:04,900 The companies are doingthe best they can with the data 571 00:31:04,933 --> 00:31:06,333 that they have. 572 00:31:06,366 --> 00:31:10,033 And that's why all the DNA testing companies are trying 573 00:31:10,066 --> 00:31:15,733 to add more discrete populations to their database, 574 00:31:15,766 --> 00:31:22,066 so that when they don't assign your population perfectly, 575 00:31:22,100 --> 00:31:25,100 they're as close as they possibly can be. 576 00:31:25,133 --> 00:31:28,966 Bessie and Anita are finding that whatever their flaws, 577 00:31:29,000 --> 00:31:34,433 DNA ancestry tests, by makingpeople think about their roots, 578 00:31:34,466 --> 00:31:38,300 can help them to better appreciate human diversity. 579 00:31:38,333 --> 00:31:40,500 The north of Africa, Middle East, 580 00:31:40,533 --> 00:31:42,466 the western Europe, but I was... 581 00:31:42,500 --> 00:31:43,866 It makes people think of 582 00:31:43,900 --> 00:31:49,200 their stories in relation toother people in the whole story 583 00:31:49,233 --> 00:31:50,733 of human migration. 584 00:31:50,766 --> 00:31:54,500 Most people have felt this to be a positive experience. 585 00:31:54,533 --> 00:31:58,333 Tyquine Golden's results from FamilyTreeDNA 586 00:31:58,366 --> 00:31:59,500 are very close 587 00:31:59,533 --> 00:32:02,000 to those he received from Ancestry. 588 00:32:02,033 --> 00:32:03,209 Can't ignore it now. 589 00:32:03,233 --> 00:32:04,900 The whole, like, 590 00:32:04,933 --> 00:32:08,866 Ireland and U.K. part of the DNA. 591 00:32:08,900 --> 00:32:10,400 Let me ask, do you think you're 592 00:32:10,433 --> 00:32:13,100 as authentically Black as she is? 593 00:32:13,133 --> 00:32:14,866 I don't think it makes a difference. 594 00:32:14,900 --> 00:32:16,500 They sat there 595 00:32:16,533 --> 00:32:19,366 and had a conversation about race 596 00:32:19,400 --> 00:32:23,666 that was fun and exciting and joining. 597 00:32:23,700 --> 00:32:25,133 And if that can happen 598 00:32:25,166 --> 00:32:28,566 more and more, what are the possibilities? 599 00:32:31,766 --> 00:32:35,233 But as difficultas determining ancestry may be, 600 00:32:35,266 --> 00:32:38,866 the toughest challenge the DTCs are taking on 601 00:32:38,900 --> 00:32:43,400 may be assessing our genetic disease risks. 602 00:32:43,433 --> 00:32:44,776 Because when it comes to the accuracy 603 00:32:44,800 --> 00:32:50,400 of those tests, the stakes couldn't be higher. 604 00:32:50,433 --> 00:32:52,633 We all face the risk of developing 605 00:32:52,666 --> 00:32:55,200 life-threatening diseases. 606 00:32:55,233 --> 00:32:56,666 But some of us face 607 00:32:56,700 --> 00:33:04,700 a greater risk because of variations in our genes... 608 00:33:06,933 --> 00:33:08,333 that form the genetic code 609 00:33:08,366 --> 00:33:10,633 for making proteins, 610 00:33:10,666 --> 00:33:14,200 the critical molecules that keep our bodies working. 611 00:33:14,233 --> 00:33:16,966 It is hard to believe that a single letter change 612 00:33:17,000 --> 00:33:19,133 could affect a human being so profoundly 613 00:33:19,166 --> 00:33:22,000 among this huge string of three billion letters. 614 00:33:22,033 --> 00:33:25,000 But then you get those critical places 615 00:33:25,033 --> 00:33:27,766 where if you've made that specific change, 616 00:33:27,800 --> 00:33:30,866 the protein simply doesn't work anymore. 617 00:33:30,900 --> 00:33:34,700 Several of the DTCs now offer testing 618 00:33:34,733 --> 00:33:37,300 for genetic health risks. 619 00:33:37,333 --> 00:33:40,233 But how reliable are they? 620 00:33:40,266 --> 00:33:41,966 Most of those tests 621 00:33:42,000 --> 00:33:50,000 look only at selected SNPs and ignore the rest of the genome, 622 00:33:52,900 --> 00:33:57,100 where other risks 23andMe's controversial teste: 623 00:33:57,133 --> 00:34:00,000 for breast cancer risk. 624 00:34:00,033 --> 00:34:03,433 It looks at two genes called B-R-C-A, 625 00:34:03,466 --> 00:34:06,066 or "bra-ka" genes. 626 00:34:06,100 --> 00:34:10,100 They code for proteins that control cell growth. 627 00:34:10,133 --> 00:34:12,433 But certain base pair variations 628 00:34:12,466 --> 00:34:14,133 derail the BRCA genes, 629 00:34:14,166 --> 00:34:18,200 and make some cancers... Such as pancreatic, 630 00:34:18,233 --> 00:34:23,233 prostate, and especially ovarianand breast cancer... more likely. 631 00:34:23,266 --> 00:34:28,966 Scientists have documentedclose to 4,000 such variations. 632 00:34:29,000 --> 00:34:34,900 23andMe sells a SNP test that looks for three of them. 633 00:34:34,933 --> 00:34:39,066 They're among the variationsthat put women at very high risk 634 00:34:39,100 --> 00:34:40,700 for breast cancer. 635 00:34:40,733 --> 00:34:44,600 Each can be reliably detected by SNP testing. 636 00:34:44,633 --> 00:34:48,366 And each is ten times more common in women who have 637 00:34:48,400 --> 00:34:52,433 Ashkenazi Jewish ancestry. 638 00:34:52,466 --> 00:34:57,633 Jessica Algazi, a 52-year-old entertainment lawyer 639 00:34:57,666 --> 00:35:02,100 in Los Angeles, has three Ashkenazi grandparents. 640 00:35:03,466 --> 00:35:08,233 In 2018, she takes the 23andMe BRCA test, 641 00:35:08,266 --> 00:35:11,866 having no idea it will change her life. 642 00:35:11,900 --> 00:35:16,166 One day, when she's playing golf, she gets an email. 643 00:35:16,200 --> 00:35:19,200 I get the resultsas I'm sitting on a golf course 644 00:35:19,233 --> 00:35:22,933 in a golf cart and I looked down and like, "Oh my God, 645 00:35:22,966 --> 00:35:24,366 I can't believe this." 646 00:35:24,400 --> 00:35:27,433 23andMe reports that she has 647 00:35:27,466 --> 00:35:30,900 a BRCA 1 variation that makes it highly likely 648 00:35:30,933 --> 00:35:34,333 she will develop ovarian or breast cancer. 649 00:35:34,366 --> 00:35:37,400 A second test by a DNA lab 650 00:35:37,433 --> 00:35:41,300 that specializes in BRCA testing confirms it. 651 00:35:41,333 --> 00:35:44,166 Although she is cancer-free for now, 652 00:35:44,200 --> 00:35:46,100 she makes a decision. 653 00:35:46,133 --> 00:35:50,366 My gynecologist said, you know, 654 00:35:50,400 --> 00:35:52,700 "Jess, you got to do something now. 655 00:35:52,733 --> 00:35:55,133 "You'll have your ovaries and tubes removed 656 00:35:55,166 --> 00:35:59,833 and you need to havea double mastectomy right away." 657 00:35:59,866 --> 00:36:03,800 And so, I'm just grateful that I was able to find out in time 658 00:36:03,833 --> 00:36:05,466 to do something before I got sick. 659 00:36:05,500 --> 00:36:09,033 I'm eternally grateful to the folks at 23andMe 660 00:36:09,066 --> 00:36:11,466 for giving me that opportunity. 661 00:36:11,500 --> 00:36:14,800 They quite possibly saved my life. 662 00:36:14,833 --> 00:36:18,766 But most women who have BRCA variations don't have 663 00:36:18,800 --> 00:36:22,633 any of the three that 23andMe tests for. 664 00:36:22,666 --> 00:36:26,000 Women like Pamela Munster. 665 00:36:26,033 --> 00:36:27,233 She happens to be 666 00:36:27,266 --> 00:36:29,433 an oncologist in San Francisco 667 00:36:29,466 --> 00:36:32,400 who specializes in breast cancer. 668 00:36:32,433 --> 00:36:33,966 I have the BRCA1 gene... 669 00:36:34,000 --> 00:36:38,133 She has no Ashkenazi Jewish ancestry. 670 00:36:38,166 --> 00:36:44,200 In 2010, Pamela takes 23andMe's BRCA test herself. 671 00:36:44,233 --> 00:36:45,500 What I learned is that 672 00:36:45,533 --> 00:36:48,700 I didn't have much of a breast cancer risk, 673 00:36:48,733 --> 00:36:50,633 and by 23andMe's reckon, 674 00:36:50,666 --> 00:36:52,533 my breast cancer risk was actually quite low. 675 00:36:52,566 --> 00:36:58,233 But in 2012, Pamela is diagnosed with breast cancer. 676 00:36:58,266 --> 00:37:02,566 And the way that my cancer looked under the microscope, 677 00:37:02,600 --> 00:37:05,333 I had the sense that this breast cancer 678 00:37:05,366 --> 00:37:06,866 was associated with a BRCA mutation. 679 00:37:06,900 --> 00:37:11,266 To confirm her hunch, Pamela has her DNA tested 680 00:37:11,300 --> 00:37:14,433 by what's known as a clinical lab, 681 00:37:14,466 --> 00:37:16,866 the kind doctors use. 682 00:37:16,900 --> 00:37:20,366 They don't just look at scattered SNPs. 683 00:37:20,400 --> 00:37:24,500 They look at every single base pair in genes... 684 00:37:25,866 --> 00:37:29,866 A process known as sequencing. 685 00:37:29,900 --> 00:37:32,800 They go through the entire BRCA gene. 686 00:37:32,833 --> 00:37:37,166 And they... remember, these are like 80,000 base pairs. 687 00:37:37,200 --> 00:37:38,933 And they can tell you is the letter there, 688 00:37:38,966 --> 00:37:40,000 is the letter not there. 689 00:37:40,033 --> 00:37:43,500 Pamela turns out to be right. 690 00:37:43,533 --> 00:37:46,500 She does have a BRCA2 mutation. 691 00:37:46,533 --> 00:37:50,866 But it's not any of the three variants 23andMe tests for. 692 00:37:50,900 --> 00:37:54,500 It's one of the thousands of others. 693 00:37:54,533 --> 00:37:58,333 If I just want to know who I'm related to, 23andMe, 694 00:37:58,366 --> 00:38:00,866 Ancestry are very good tests. 695 00:38:00,900 --> 00:38:03,900 If you want to know, do you carry a BRCA gene 696 00:38:03,933 --> 00:38:06,300 and are you at risk for breast cancer? 697 00:38:06,333 --> 00:38:11,200 I think 23andMe is not an ideal test. 698 00:38:11,233 --> 00:38:15,933 But 23andMe says that its BRCA test has alerted 699 00:38:15,966 --> 00:38:20,166 some 3,000 people to their cancer risk. 700 00:38:20,200 --> 00:38:23,400 And that choosing these three variants makes sense, 701 00:38:23,433 --> 00:38:27,533 because they confer such high risks. 702 00:38:27,566 --> 00:38:30,366 What these variations mean for someone's risks 703 00:38:30,400 --> 00:38:32,933 is very, very well understood. 704 00:38:32,966 --> 00:38:36,166 The studies that have shown near, nearly half of people 705 00:38:36,200 --> 00:38:38,366 carrying one of these variants don't realize it. 706 00:38:38,400 --> 00:38:42,733 So it's great for those people who were not even thinking 707 00:38:42,766 --> 00:38:44,042 they were carrying that mutation 708 00:38:44,066 --> 00:38:46,833 to pick it up with direct-to-consumer testing. 709 00:38:46,866 --> 00:38:49,700 It's not a good thing if those people think 710 00:38:49,733 --> 00:38:54,900 they have been exhaustively tested because they have not. 711 00:38:57,433 --> 00:38:59,466 And there are also concerns 712 00:38:59,500 --> 00:39:03,566 about how test-takers' data is used. 713 00:39:03,600 --> 00:39:04,933 In 2018, 714 00:39:04,966 --> 00:39:09,066 23andMe agrees to share anonymized information 715 00:39:09,100 --> 00:39:11,266 about millions of its customers 716 00:39:11,300 --> 00:39:14,533 with GlaxoSmithKline to use in the development 717 00:39:14,566 --> 00:39:17,333 of new drugs. 718 00:39:17,366 --> 00:39:22,300 23andMe says some 80% of its customers have given consent 719 00:39:22,333 --> 00:39:26,266 for their data to be used in research. 720 00:39:27,800 --> 00:39:30,533 Most have also filled in health questionnaires, 721 00:39:30,566 --> 00:39:34,333 enabling valuable linksto be made between their genes, 722 00:39:34,366 --> 00:39:36,933 and their health histories. 723 00:39:36,966 --> 00:39:38,976 The potential of what you can do with that information 724 00:39:39,000 --> 00:39:40,566 is just astounding. 725 00:39:40,600 --> 00:39:43,333 But while the possible rewards 726 00:39:43,366 --> 00:39:46,233 of the deal seem clear, to some, 727 00:39:46,266 --> 00:39:48,800 it raises ethical questions. 728 00:39:48,833 --> 00:39:50,776 You're actually paying your money to give your data 729 00:39:50,800 --> 00:39:51,900 to a company. 730 00:39:51,933 --> 00:39:54,333 And then it will be capitalized on 731 00:39:54,366 --> 00:39:57,500 potentially without benefit to you. 732 00:39:57,533 --> 00:39:59,242 When you're dealing with such a new technology, 733 00:39:59,266 --> 00:40:03,400 I think the full implications can't possibly be understood 734 00:40:03,433 --> 00:40:06,133 by consumers because things are just too new. 735 00:40:07,700 --> 00:40:13,533 So how safe is the data of23andMe's 12 million customers? 736 00:40:13,566 --> 00:40:14,909 We do not sell data. 737 00:40:14,933 --> 00:40:19,166 We do not share your data with any insurance company 738 00:40:19,200 --> 00:40:23,066 or any employer, hard stop, without your consent. 739 00:40:24,400 --> 00:40:27,066 Federal law prohibits most employers from using 740 00:40:27,100 --> 00:40:31,133 genetic data to make workplace decisions. 741 00:40:31,166 --> 00:40:33,766 And prohibits health insurers from using it 742 00:40:33,800 --> 00:40:36,500 to change or deny coverage. 743 00:40:36,533 --> 00:40:38,466 But disability and life insurance companies 744 00:40:38,500 --> 00:40:40,900 are free to use it. 745 00:40:40,933 --> 00:40:45,633 While 23andMe and FamilyTreeDNA talked with "NOVA" 746 00:40:45,666 --> 00:40:47,666 about these issues, 747 00:40:47,700 --> 00:40:52,900 AncestryDNA declined to participate in this film. 748 00:40:54,866 --> 00:40:57,333 The risks inherent in new technologies 749 00:40:57,366 --> 00:40:58,933 often become obvious 750 00:40:58,966 --> 00:41:01,733 only in hindsight. 751 00:41:01,766 --> 00:41:05,500 Chelsea Rustad could neverhad predicted that her DNA test 752 00:41:05,533 --> 00:41:09,533 might lead the police to a dangerous murder suspect. 753 00:41:09,566 --> 00:41:13,833 They found him using a new investigative technique 754 00:41:13,866 --> 00:41:18,900 that springs directly from the rise of consumer testing. 755 00:41:18,933 --> 00:41:21,766 It's called genetic genealogy. 756 00:41:21,800 --> 00:41:24,966 And before it was used to solve crimes, 757 00:41:25,000 --> 00:41:29,033 it was used by people looking for their birth parents. 758 00:41:29,066 --> 00:41:32,933 One of its pioneers is a retired patent lawyer 759 00:41:32,966 --> 00:41:34,733 named Barbara Rae-Venter. 760 00:41:34,766 --> 00:41:35,842 I really backed into 761 00:41:35,866 --> 00:41:37,533 this whole thing. 762 00:41:37,566 --> 00:41:42,500 Because I was doing, uh... unknown parentage type work 763 00:41:42,533 --> 00:41:44,400 with adoptees. 764 00:41:44,433 --> 00:41:46,800 For adoptees, DNA has been huge, 765 00:41:46,833 --> 00:41:49,833 because for them to try and figure out 766 00:41:49,866 --> 00:41:52,266 who their birth relatives were just using paper, 767 00:41:52,300 --> 00:41:53,866 very, very difficult. 768 00:41:53,900 --> 00:41:57,633 Barbara starts by connecting the adoptee to the people 769 00:41:57,666 --> 00:42:00,700 in their DNA match list. 770 00:42:00,733 --> 00:42:07,366 Then by digging through records, she finds more relatives. 771 00:42:07,400 --> 00:42:12,900 The goal: find an ancestor who links everyone together 772 00:42:12,933 --> 00:42:16,000 and points directly to the birth parent. 773 00:42:16,033 --> 00:42:22,666 In 2017, Barbara is asked by investigators in California 774 00:42:22,700 --> 00:42:25,533 to try to solve a different kind of mystery: 775 00:42:25,566 --> 00:42:29,700 one of the nation's most notorious cold cases. 776 00:42:30,933 --> 00:42:33,200 The so-called Golden State Killer 777 00:42:33,233 --> 00:42:34,400 was suspected of committing 778 00:42:34,433 --> 00:42:38,466 at least 13 murders and more than 50 rapes 779 00:42:38,500 --> 00:42:42,033 during the 1970s and '80s. 780 00:42:44,700 --> 00:42:46,733 Police have long had his DNA, 781 00:42:46,766 --> 00:42:49,500 but they have no idea who he is. 782 00:42:50,966 --> 00:42:52,100 Barbara agrees to help. 783 00:42:54,066 --> 00:42:57,100 From the crime scene DNA, a SNP profile is made, 784 00:42:57,133 --> 00:43:00,366 and then uploaded to GEDmatch. 785 00:43:00,400 --> 00:43:05,700 Using the relatives who pop up, Barbara creates a family tree 786 00:43:05,733 --> 00:43:08,166 and eventually zeroes in 787 00:43:08,200 --> 00:43:11,666 on a man named Joseph DeAngelo. 788 00:43:11,700 --> 00:43:16,600 A one-time policeman, DeAngelohad never been under suspicion. 789 00:43:16,633 --> 00:43:22,300 Police collect his DNA and run an STR test. 790 00:43:22,333 --> 00:43:25,433 The result: a perfect match with the DNA 791 00:43:25,466 --> 00:43:29,333 of the Golden State Killer. 792 00:43:29,366 --> 00:43:30,666 Murder in the first degree... 793 00:43:30,700 --> 00:43:32,766 that charge, sir, how do you plead? 794 00:43:32,800 --> 00:43:36,300 In June 2020, Joseph DeAngelo pleads guilty 795 00:43:36,333 --> 00:43:38,300 to 13 counts of murder. 796 00:43:38,333 --> 00:43:39,466 Guilty. 797 00:43:39,500 --> 00:43:41,700 He is sentenced to life in prison. 798 00:43:43,566 --> 00:43:45,533 At the time of DeAngelo's arrest, 799 00:43:45,566 --> 00:43:48,133 Detective Jim Scharf is amazed to learn 800 00:43:48,166 --> 00:43:52,866 what's been accomplished using genetic genealogy. 801 00:43:52,900 --> 00:43:56,500 He quickly thinks about Tanya and Jay. 802 00:43:56,533 --> 00:43:59,166 He reaches out to a computer scientist 803 00:43:59,200 --> 00:44:04,933 he's been working within Virginia... Steve Armentrout. 804 00:44:04,966 --> 00:44:07,133 So do I need to hardwirethe number in here 805 00:44:07,166 --> 00:44:08,900 or am I doing a calculation? 806 00:44:08,933 --> 00:44:12,366 Steve's company, Parabon NanoLabs, 807 00:44:12,400 --> 00:44:15,533 has developed methodsand software for sifting through 808 00:44:15,566 --> 00:44:17,533 hundreds of thousands of SNPs. 809 00:44:17,566 --> 00:44:21,200 We first have to get DNA from the crime scene 810 00:44:21,233 --> 00:44:25,200 into a format that can be used for uploading. 811 00:44:25,233 --> 00:44:28,100 Jim gave us the okay on a Thursday. 812 00:44:28,133 --> 00:44:29,066 On Friday, 813 00:44:29,100 --> 00:44:32,700 we were uploading to GEDmatch. 814 00:44:33,833 --> 00:44:35,200 Steve has teamed up 815 00:44:35,233 --> 00:44:36,600 with a genetic genealogist 816 00:44:36,633 --> 00:44:39,866 in California, CeCe Moore. 817 00:44:39,900 --> 00:44:41,300 On Saturday morning, 818 00:44:41,333 --> 00:44:44,700 I rolled out of bedbefore I even put my contact in, 819 00:44:44,733 --> 00:44:48,566 and flipped open my laptop to see if we had that match list. 820 00:44:48,600 --> 00:44:49,800 And we did. 821 00:44:49,833 --> 00:44:55,566 GEDmatch shows two people who each share around 3% 822 00:44:55,600 --> 00:44:59,000 with the unknown suspect. 823 00:44:59,033 --> 00:45:03,400 So to have two people that shared about 3% of their DNA 824 00:45:03,433 --> 00:45:05,800 or enough to be a second cousin with the suspect 825 00:45:05,833 --> 00:45:08,333 did feel like getting struck by lightning. 826 00:45:08,366 --> 00:45:12,100 Second cousins will share 827 00:45:12,133 --> 00:45:13,633 a set of great-grandparents, 828 00:45:13,666 --> 00:45:15,109 and that's not that far back in the tree. 829 00:45:15,133 --> 00:45:16,566 In genealogy, 830 00:45:16,600 --> 00:45:20,166 I can almost always get backto someone's great-grandparents. 831 00:45:20,200 --> 00:45:27,100 One of CeCe's two top matches is Chelsea Rustad. 832 00:45:27,133 --> 00:45:32,166 The other is a cousin who'snever been publicly identified. 833 00:45:32,200 --> 00:45:35,066 They both share DNA with the suspect. 834 00:45:35,100 --> 00:45:38,633 But don't share any with each other. 835 00:45:38,666 --> 00:45:40,800 That meant that they represented different branches 836 00:45:40,833 --> 00:45:42,900 of the suspect's family tree. 837 00:45:42,933 --> 00:45:44,833 I really lucked out. 838 00:45:44,866 --> 00:45:50,233 I found an obituary from a woman who was carrying the surname 839 00:45:50,266 --> 00:45:53,733 that I had just seen in the other match's family tree. 840 00:45:53,766 --> 00:45:54,966 So that told me 841 00:45:55,000 --> 00:45:56,933 we have a woman from this tree 842 00:45:56,966 --> 00:45:59,600 and a man from this tree who have married. 843 00:45:59,633 --> 00:46:01,233 And hopefully had children. 844 00:46:01,266 --> 00:46:05,733 CeCe knows that if they did, those children would carry 845 00:46:05,766 --> 00:46:10,200 a mix of DNA very similar to that of the suspect. 846 00:46:10,233 --> 00:46:13,800 The couple had four children. 847 00:46:13,833 --> 00:46:18,133 We got really lucky that therewas only one male in this family 848 00:46:18,166 --> 00:46:21,600 because the genetic genealogy was pointing at one person 849 00:46:21,633 --> 00:46:23,100 and only one person, 850 00:46:23,133 --> 00:46:25,400 and that was William Earl Talbott II. 851 00:46:30,200 --> 00:46:32,233 At the time of the murders, 852 00:46:32,266 --> 00:46:34,766 Talbott lived a few miles from the bridge 853 00:46:34,800 --> 00:46:38,833 where Jay Cook's body was found. 854 00:46:38,866 --> 00:46:41,866 Now, he is 55. 855 00:46:41,900 --> 00:46:43,300 A truck driver. 856 00:46:43,333 --> 00:46:46,500 The police follow him. 857 00:46:46,533 --> 00:46:49,300 They want his DNA 858 00:46:49,333 --> 00:46:50,700 to see if it matches the DNA 859 00:46:50,733 --> 00:46:53,766 from the crime scene. 860 00:46:53,800 --> 00:46:56,133 One day they get lucky. 861 00:46:56,166 --> 00:47:00,266 A drinking cup falls out of his truck. 862 00:47:00,300 --> 00:47:02,833 Jim Scharf brings the cup 863 00:47:02,866 --> 00:47:05,033 to the Washington State Patrol Crime Lab 864 00:47:05,066 --> 00:47:07,333 for STR testing. 865 00:47:07,366 --> 00:47:11,800 Lab supervisor Lisa Collins asks him to wait. 866 00:47:11,833 --> 00:47:14,766 Soon, she returns. 867 00:47:14,800 --> 00:47:18,733 Lisa turned and handed me the report and said, 868 00:47:18,766 --> 00:47:20,200 "Jim, it's him. 869 00:47:20,233 --> 00:47:22,066 There's a match." 870 00:47:22,100 --> 00:47:24,933 And I couldn't believe it. 871 00:47:24,966 --> 00:47:27,400 My eyes teared up. 872 00:47:27,433 --> 00:47:29,466 I yelled out a scream. 873 00:47:29,500 --> 00:47:31,100 "This is wonderful. 874 00:47:31,133 --> 00:47:33,633 We finally got this guy." 875 00:47:36,233 --> 00:47:39,133 On May 17, 2018, 876 00:47:39,166 --> 00:47:41,266 William Earl Talbott II 877 00:47:41,300 --> 00:47:44,266 is arrested on a charge of first degree murder 878 00:47:44,300 --> 00:47:48,500 for a 31-year-old crime. 879 00:47:48,533 --> 00:47:51,200 He's a man who was identified 880 00:47:51,233 --> 00:47:54,733 not because he took a DNA test, 881 00:47:54,766 --> 00:47:56,600 but because a relative did. 882 00:47:56,633 --> 00:47:59,300 Someone he'd never even met. 883 00:48:01,000 --> 00:48:05,966 In June 2019, the jury delivers its verdict. 884 00:48:06,000 --> 00:48:09,066 We the jury find the defendant William Earl Talbott II 885 00:48:09,100 --> 00:48:11,333 guilty of the crime of first degree murder 886 00:48:11,366 --> 00:48:13,666 as charged in count one. 887 00:48:13,700 --> 00:48:17,733 Talbott is the first suspectidentified by genetic genealogy 888 00:48:17,766 --> 00:48:21,333 ever to be convicted by a jury. 889 00:48:21,366 --> 00:48:22,433 He is soon sentenced 890 00:48:22,466 --> 00:48:26,500 to two consecutive life terms in prison. 891 00:48:26,533 --> 00:48:28,666 It has been reiterated to me 892 00:48:28,700 --> 00:48:31,166 so many times by the investigators 893 00:48:31,200 --> 00:48:35,400 that they wouldn't have come this far without my DNA. 894 00:48:35,433 --> 00:48:37,566 It would have been dead in the water. 895 00:48:37,600 --> 00:48:41,333 Since Talbott's conviction, the Parabon team has used 896 00:48:41,366 --> 00:48:43,866 genetic genealogy to identify 897 00:48:43,900 --> 00:48:47,333 more than a hundred criminal suspects. 898 00:48:47,366 --> 00:48:50,533 But just being named by a genealogist isn't enough 899 00:48:50,566 --> 00:48:51,800 to get a person arrested. 900 00:48:51,833 --> 00:48:56,300 We have to get confirmation DNA 901 00:48:56,333 --> 00:48:59,600 using STR testing before we have probable cause 902 00:48:59,633 --> 00:49:01,900 to make an arrest. 903 00:49:01,933 --> 00:49:06,800 Even so, to critics, the use of genetic genealogy 904 00:49:06,833 --> 00:49:10,800 by law enforcement raises privacy questions. 905 00:49:10,833 --> 00:49:14,300 Do we want to catch people who have committed heinous crimes? 906 00:49:14,333 --> 00:49:16,066 Absolutely, yes. 907 00:49:16,100 --> 00:49:19,000 But what DNA profiles are being trolled through? 908 00:49:19,033 --> 00:49:21,833 What failed attempts to find suspects 909 00:49:21,866 --> 00:49:22,966 are we not hearing about 910 00:49:23,000 --> 00:49:25,033 and the data violations and privacy violations 911 00:49:25,066 --> 00:49:26,566 that happen along the way? 912 00:49:26,600 --> 00:49:30,766 The genetic genealogy team at Parabon says the fears 913 00:49:30,800 --> 00:49:32,800 are exaggerated. 914 00:49:32,833 --> 00:49:34,166 People have control 915 00:49:34,200 --> 00:49:38,000 over whether their DNA is used in these investigations. 916 00:49:38,033 --> 00:49:41,366 Simply taking a DNA test at 23andMe, at Ancestry, 917 00:49:41,400 --> 00:49:44,900 your DNA is in their private database. 918 00:49:44,933 --> 00:49:49,300 But there's little regulation, and policies vary. 919 00:49:49,333 --> 00:49:55,200 In 2019, FamilyTreeDNA apologized for letting the FBI 920 00:49:55,233 --> 00:49:57,833 search its database for people who share DNA 921 00:49:57,866 --> 00:50:01,833 with crime scene samples without customers' permission. 922 00:50:01,866 --> 00:50:03,466 FamilyTreeDNA and GEDmatch 923 00:50:03,500 --> 00:50:08,733 both now say they only do so with explicit permission. 924 00:50:08,766 --> 00:50:12,166 And another worry: consumer DNA companies, 925 00:50:12,200 --> 00:50:17,766 like any that collect data, are vulnerable to hackers. 926 00:50:17,800 --> 00:50:23,733 Yet the risks are clearly not deterring everyone. 927 00:50:23,766 --> 00:50:27,600 No one is forcing anyone to take a DNA test. 928 00:50:27,633 --> 00:50:32,500 If your paranoia, and fear of Big Brother 929 00:50:32,533 --> 00:50:35,366 is greater than your interest 930 00:50:35,400 --> 00:50:38,333 in reading the medical and history book 931 00:50:38,366 --> 00:50:41,866 written into your cells, then Ithink that you should not test. 932 00:50:44,066 --> 00:50:46,500 There's beauty in, you know, understanding where you're from, 933 00:50:46,533 --> 00:50:47,576 and then searching for that. 934 00:50:47,600 --> 00:50:50,000 The consumer DNA phenomenon 935 00:50:50,033 --> 00:50:53,333 is changing many people's lives 936 00:50:53,366 --> 00:50:55,766 by revealing the secrets that lie hidden 937 00:50:55,800 --> 00:50:58,866 deep inside ourselves. 938 00:50:58,900 --> 00:51:04,800 But are its benefits worth its cost and risks? 939 00:51:04,833 --> 00:51:07,200 Do I want to know that I'm at risk for Alzheimer's 940 00:51:07,233 --> 00:51:10,966 when there's absolutely nothing I can do about it? 941 00:51:11,000 --> 00:51:12,266 Maybe not. 942 00:51:12,300 --> 00:51:15,966 With these DNA tests as popular as they are, 943 00:51:16,000 --> 00:51:17,166 the chances are 944 00:51:17,200 --> 00:51:19,500 that everyone who has had a secret of this nature 945 00:51:19,533 --> 00:51:21,866 kept from them is gonna find out. 946 00:51:21,900 --> 00:51:28,266 Our hearts and our minds don't know fully how to grapple with 947 00:51:28,300 --> 00:51:30,500 what we're being asked to grapple with. 948 00:51:31,966 --> 00:51:37,900 I think the surge in DNA testing over the last 20 years 949 00:51:37,933 --> 00:51:40,333 has opened people's minds to the possibility 950 00:51:40,366 --> 00:51:43,700 that they share more with other people 951 00:51:43,733 --> 00:51:45,400 than what they thought they did. 952 00:51:45,433 --> 00:51:48,466 That 1% that makes us different 953 00:51:48,500 --> 00:51:53,600 is really just the beautifuldiversity in the natural world. 954 00:51:53,633 --> 00:51:56,266 And it's not that one genotype or genome 955 00:51:56,300 --> 00:51:57,600 is better than another. 956 00:51:57,633 --> 00:51:59,400 It's just they're beautifully different. 957 00:51:59,433 --> 00:52:01,366 The more we are tested, 958 00:52:01,400 --> 00:52:04,900 the more we see how connected we are to each other. 959 00:52:04,933 --> 00:52:07,900 And perhaps, if we see that we're connected to each other, 960 00:52:07,933 --> 00:52:10,466 we'll treat each other a little bit better. 961 00:52:57,200 --> 00:53:01,533 To order this program on DVD, visit ShopPBS 962 00:53:01,566 --> 00:53:04,833 or call 1-800-PLAY-PBS. 963 00:53:04,866 --> 00:53:07,566 Episodes of "NOVA" are available with Passport. 964 00:53:07,600 --> 00:53:11,100 "NOVA" is also available on Amazon Prime Video. 74949

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