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25 results on '"Byrnes, Jake"'

2. The history and geographic distribution of a KCNQ1 atrial fibrillation risk allele

Author

Hateley, Shannon, Lopez-Izquierdo, Angelica, Jou, Chuanchau J., Cho, Scott, Schraiber, Joshua G., Song, Shiya, Maguire, Colin T., Torres, Natalia, Riedel, Michael, Bowles, Neil E., Arrington, Cammon B., Kennedy, Brett J., Etheridge, Susan P., Lai, Shuping, Pribble, Chase, Meyers, Lindsay, Lundahl, Derek, Byrnes, Jake, Granka, Julie M., Kauffman, Christopher A., Lemmon, Gordon, Boyden, Steven, Scott Watkins, W., Karren, Mary Anne, Knight, Stacey, Brent Muhlestein, J., Carlquist, John F., Anderson, Jeffrey L., Chahine, Kenneth G., Shah, Khushi U., Ball, Catherine A., Benjamin, Ivor J., Yandell, Mark, and Tristani-Firouzi, Martin

Published
2021
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6. A global reference for human genetic variation

Author

Altshuler, David M., (Co-Chair), Durbin, Richard M., (Co-Chair, Principal Investigator), Donnelly, Peter, Green, Eric D., Nickerson, Deborah A., Boerwinkle, Eric, Doddapaneni, Harsha, Han, Yi, Korchina, Viktoriya, Kovar, Christie, Lee, Sandra, Muzny, Donna, Reid, Jeffrey G., Zhu, Yiming, Wang, Jun, (Principal Investigator), Chang, Yuqi, Feng, Qiang, Fang, Xiaodong, Guo, Xiaosen, Jian, Min, Jiang, Hui, Jin, Xin, Lan, Tianming, Li, Guoqing, Li, Jingxiang, Li, Yingrui, Liu, Shengmao, Liu, Xiao, Lu, Yao, Ma, Xuedi, Tang, Meifang, Wang, Bo, Wang, Guangbiao, Wu, Honglong, Wu, Renhua, Xu, Xun, Yin, Ye, Zhang, Dandan, Zhang, Wenwei, Zhao, Jiao, Zhao, Meiru, Zheng, Xiaole, Lander, Eric S., (Principal Investigator), Gabriel, Stacey B., (Co-Chair), Gupta, Namrata, Gharani, Neda, Toji, Lorraine H., Gerry, Norman P., Resch, Alissa M., Barker, Jonathan, Gil, Laurent, Hunt, Sarah E., Kelman, Gavin, Kulesha, Eugene, Leinonen, Rasko, McLaren, William M., Radhakrishnan, Rajesh, Roa, Asier, Smirnov, Dmitriy, Smith, Richard E., Streeter, Ian, Thormann, Anja, Toneva, Iliana, Vaughan, Brendan, Zheng-Bradley, Xiangqun, Bentley, David R., (Principal Investigator), Grocock, Russell, Humphray, Sean, James, Terena, Kingsbury, Zoya, Lehrach, Hans, (Principal Investigator), Sudbrak, Ralf, (Project Leader), Albrecht, Marcus W., Amstislavskiy, Vyacheslav S., Borodina, Tatiana A., Lienhard, Matthias, Mertes, Florian, Sultan, Marc, Timmermann, Bernd, Yaspo, Marie-Laure, Mardis, Elaine R., (Co-Principal Investigator) (Co-Chair), Wilson, Richard K., (Co-Principal Investigator), Fulton, Lucinda, Fulton, Robert, Ananiev, Victor, Belaia, Zinaida, Beloslyudtsev, Dimitriy, Bouk, Nathan, Chen, Chao, Church, Deanna, Cohen, Robert, Cook, Charles, Garner, John, Hefferon, Timothy, Kimelman, Mikhail, Liu, Chunlei, Lopez, John, Meric, Peter, O’Sullivan, Chris, Ostapchuk, Yuri, Phan, Lon, Ponomarov, Sergiy, Schneider, Valerie, Shekhtman, Eugene, Sirotkin, Karl, Slotta, Douglas, Zhang, Hua, Balasubramaniam, Senduran, Burton, John, Danecek, Petr, Keane, Thomas M., Kolb-Kokocinski, Anja, McCarthy, Shane, Stalker, James, Quail, Michael, Schmidt, Jeanette P., (Principal Investigator), Davies, Christopher J., Gollub, Jeremy, Webster, Teresa, Wong, Brant, Zhan, Yiping, Auton, Adam, (Principal Investigator), Campbell, Christopher L., Kong, Yu, Marcketta, Anthony, Yu, Fuli, (Project Leader), Antunes, Lilian, Bainbridge, Matthew, Sabo, Aniko, Huang, Zhuoyi, Coin, Lachlan J. M., Fang, Lin, Li, Qibin, Li, Zhenyu, Lin, Haoxiang, Liu, Binghang, Luo, Ruibang, Shao, Haojing, Xie, Yinlong, Ye, Chen, Yu, Chang, Zhang, Fan, Zheng, Hancheng, Zhu, Hongmei, Alkan, Can, Dal, Elif, Kahveci, Fatma, Garrison, Erik P., (Project Lead), Kural, Deniz, Lee, Wan-Ping, Leong, Wen Fung, Stromberg, Michael, Ward, Alistair N., Wu, Jiantao, Zhang, Mengyao, Daly, Mark J., (Principal Investigator), DePristo, Mark A., (Project Leader), Handsaker, Robert E., (Project Leader), Banks, Eric, Bhatia, Gaurav, del Angel, Guillermo, Genovese, Giulio, Li, Heng, Kashin, Seva, Nemesh, James C., Poplin, Ryan E., Yoon, Seungtai C., (Principal Investigator), Lihm, Jayon, Makarov, Vladimir, Clark, Andrew G., (Principal Investigator), Gottipati, Srikanth, Keinan, Alon, Rodriguez-Flores, Juan L., Rausch, Tobias, (Project Leader), Fritz, Markus H., Stütz, Adrian M., Beal, Kathryn, Datta, Avik, Herrero, Javier, Ritchie, Graham R. S., Zerbino, Daniel, Sabeti, Pardis C., (Principal Investigator), Shlyakhter, Ilya, Schaffner, Stephen F., Vitti, Joseph, Cooper, David N., (Principal Investigator), Ball, Edward V., Stenson, Peter D., Barnes, Bret, Bauer, Markus, Cheetham, Keira R., Cox, Anthony, Eberle, Michael, Kahn, Scott, Murray, Lisa, Peden, John, Shaw, Richard, Kenny, Eimear E., (Principal Investigator), Batzer, Mark A., (Principal Investigator), Konkel, Miriam K., Walker, Jerilyn A., MacArthur, Daniel G., (Principal Investigator), Lek, Monkol, Herwig, Ralf, Koboldt, Daniel C., Larson, David, Ye, Kai, Gravel, Simon, Swaroop, Anand, Chew, Emily, Lappalainen, Tuuli, (Principal Investigator), Erlich, Yaniv, (Principal Investigator), Gymrek, Melissa, Willems, Thomas Frederick, Simpson, Jared T., Shriver, Mark D., (Principal Investigator), Rosenfeld, Jeffrey A., (Principal Investigator), Montgomery, Stephen B., (Principal Investigator), De La Vega, Francisco M., (Principal Investigator), Byrnes, Jake K., Carroll, Andrew W., DeGorter, Marianne K., Lacroute, Phil, Maples, Brian K., Martin, Alicia R., Moreno-Estrada, Andres, Shringarpure, Suyash S., Zakharia, Fouad, Halperin, Eran, (Principal Investigator), Baran, Yael, Cerveira, Eliza, Hwang, Jaeho, Malhotra, Ankit, (Co-Project Lead), Plewczynski, Dariusz, Radew, Kamen, Romanovitch, Mallory, Zhang, Chengsheng, (Co-Project Lead), Hyland, Fiona C. L., Craig, David W., (Principal Investigator), Christoforides, Alexis, Homer, Nils, Izatt, Tyler, Kurdoglu, Ahmet A., Sinari, Shripad A., Squire, Kevin, Xiao, Chunlin, Sebat, Jonathan, (Principal Investigator), Antaki, Danny, Gujral, Madhusudan, Noor, Amina, Ye, Kenny, Burchard, Esteban G., (Principal Investigator), Hernandez, Ryan D., (Principal Investigator), Gignoux, Christopher R., Haussler, David, (Principal Investigator), Katzman, Sol J., Kent, James W., Howie, Bryan, Ruiz-Linares, Andres, (Principal Investigator), Dermitzakis, Emmanouil T., (Principal Investigator), Devine, Scott E., (Principal Investigator), Abecasis, Gonçalo R., (Principal Investigator) (Co-Chair), Kang, Hyun Min, (Project Leader), Kidd, Jeffrey M., (Principal Investigator), Blackwell, Tom, Caron, Sean, Chen, Wei, Emery, Sarah, Fritsche, Lars, Fuchsberger, Christian, Jun, Goo, Li, Bingshan, Lyons, Robert, Scheller, Chris, Sidore, Carlo, Song, Shiya, Sliwerska, Elzbieta, Taliun, Daniel, Tan, Adrian, Welch, Ryan, Wing, Mary Kate, Zhan, Xiaowei, Awadalla, Philip, (Principal Investigator), Hodgkinson, Alan, Li, Yun, Shi, Xinghua, (Principal Investigator), Quitadamo, Andrew, Lunter, Gerton, (Principal Investigator), McVean, Gil A., (Principal Investigator) (Co-Chair), Marchini, Jonathan L., (Principal Investigator), Myers, Simon, (Principal Investigator), Churchhouse, Claire, Delaneau, Olivier, Gupta-Hinch, Anjali, Kretzschmar, Warren, Iqbal, Zamin, Mathieson, Iain, Menelaou, Androniki, Rimmer, Andy, Xifara, Dionysia K., Oleksyk, Taras K., (Principal Investigator), Fu, Yunxin, (Principal Investigator), Liu, Xiaoming, Xiong, Momiao, Jorde, Lynn, (Principal Investigator), Witherspoon, David, Xing, Jinchuan, Browning, Brian L., (Principal Investigator), Browning, Sharon R., (Principal Investigator), Hormozdiari, Fereydoun, Sudmant, Peter H., Khurana, Ekta, (Principal Investigator), Hurles, Matthew E., (Principal Investigator), Albers, Cornelis A., Ayub, Qasim, Chen, Yuan, Colonna, Vincenza, Jostins, Luke, Walter, Klaudia, Xue, Yali, Abyzov, Alexej, Balasubramanian, Suganthi, Chen, Jieming, Clarke, Declan, Fu, Yao, Harmanci, Arif O., Jin, Mike, Lee, Donghoon, Liu, Jeremy, Mu, Xinmeng Jasmine, Zhang, Jing, Zhang, Yan, McCarroll, Steven A., (Principal Investigator), Hartl, Chris, Shakir, Khalid, Degenhardt, Jeremiah, Korbel, Jan O., (Principal Investigator) (Co-Chair), Meiers, Sascha, Raeder, Benjamin, Casale, Francesco Paolo, Stegle, Oliver, Lameijer, Eric-Wubbo, Ding, Li, (Principal Investigator), Hall, Ira, Lee, Charles, (Principal Investigator) (Co-Chair), Bafna, Vineet, Michaelson, Jacob, Gardner, Eugene J., (Project Leader), Mills, Ryan E., (Principal Investigator), Dayama, Gargi, Chen, Ken, (Principle Investigator), Fan, Xian, Chong, Zechen, Chen, Tenghui, Eichler, Evan E., (Principal Investigator) (Co-Chair), Chaisson, Mark J., Huddleston, John, Malig, Maika, Nelson, Bradley J., Parrish, Nicholas F., Blackburne, Ben, Lindsay, Sarah J., Ning, Zemin, Zhang, Yujun, Lam, Hugo, Sisu, Cristina, Gibbs, Richard A., (Principal Investigator) (Co-Chair), Challis, Danny, Evani, Uday S., Lu, James, Nagaswamy, Uma, Yu, Jin, Li, Wangshen, Marth, Gabor T., (Principal Investigator) (Co-Chair), Habegger, Lukas, Yu, Haiyuan, (Principal Investigator), Cunningham, Fiona, Dunham, Ian, Lage, Kasper, (Principal Investigator), Jespersen, Jakob Berg, Horn, Heiko, Tyler-Smith, Chris, (Principal Investigator) (Co-Chair), Gerstein, Mark B., (Principal Investigator) (Co-Chair), Kim, Donghoon, Desalle, Rob, Narechania, Apurva, Wilson Sayres, Melissa A., Bustamante, Carlos D., (Principal Investigator) (Co-Chair), Mendez, Fernando L., Poznik, David G., Underhill, Peter A., Coin, Lachlan, (Principal Investigator), Mittelman, David, Banerjee, Ruby, Cerezo, Maria, Fitzgerald, Thomas W., Louzada, Sandra, Massaia, Andrea, Ritchie, Graham R., Yang, Fengtang, Kalra, Divya, Hale, Walker, Dan, Xu, Flicek, Paul, (Principal Investigator) (Co-Chair), Clarke, Laura, (Project Lead), Sherry, Stephen T., (Principal Investigator) (Co-Chair), Chakravarti, Aravinda, (Co-Chair), Knoppers, Bartha M., (Co-Chair), Barnes, Kathleen C., Beiswanger, Christine, Cai, Hongyu, Cao, Hongzhi, Henn, Brenna, Jones, Danielle, Kaye, Jane S., Kent, Alastair, Kerasidou, Angeliki, Mathias, Rasika, Ossorio, Pilar N., Parker, Michael, Rotimi, Charles N., Royal, Charmaine D., Sandoval, Karla, Su, Yeyang, Tian, Zhongming, Tishkoff, Sarah, Via, Marc, Wang, Yuhong, Yang, Ling, Zhu, Jiayong, Bodmer, Walter, Bedoya, Gabriel, Cai, Zhiming, Gao, Yang, Chu, Jiayou, Peltonen, Leena, Garcia-Montero, Andres, Orfao, Alberto, Dutil, Julie, Martinez-Cruzado, Juan C., Mathias, Rasika A., Hennis, Anselm, Watson, Harold, McKenzie, Colin, Qadri, Firdausi, LaRocque, Regina, Deng, Xiaoyan, Asogun, Danny, Folarin, Onikepe, Happi, Christian, Omoniwa, Omonwunmi, Stremlau, Matt, Tariyal, Ridhi, Jallow, Muminatou, Joof, Fatoumatta Sisay, Corrah, Tumani, Rockett, Kirk, Kwiatkowski, Dominic, Kooner, Jaspal, Hiê`n, Trâ`n Tinh, Dunstan, Sarah J., Hang, Nguyen Thuy, Fonnie, Richard, Garry, Robert, Kanneh, Lansana, Moses, Lina, Schieffelin, John, Grant, Donald S., Gallo, Carla, Poletti, Giovanni, Saleheen, Danish, Rasheed, Asif, Brooks, Lisa D., Felsenfeld, Adam L., McEwen, Jean E., Vaydylevich, Yekaterina, Duncanson, Audrey, Dunn, Michael, Schloss, Jeffery A., and Yang, Huanming

Published
2015
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7. An integrated map of genetic variation from 1,092 human genomes

Author

McVean, Gil A., Altshuler, David M., Durbin, Richard M., Abecasis, Gonçalo R., Bentley, David R., Chakravarti, Aravinda, Clark, Andrew G., Donnelly, Peter, Eichler, Evan E., Flicek, Paul, Gabriel, Stacey B., Gibbs, Richard A., Green, Eric D., Hurles, Matthew E., Knoppers, Bartha M., Korbel, Jan O., Lander, Eric S., Lee, Charles, Lehrach, Hans, Mardis, Elaine R., Marth, Gabor T., Nickerson, Deborah A., Schmidt, Jeanette P., Sherry, Stephen T., Wang, Jun, Wilson, Richard K., Dinh, Huyen, Kovar, Christie, Lee, Sandra, Lewis, Lora, Muzny, Donna, Reid, Jeff, Wang, Min, Wang, Jun, Fang, Xiaodong, Guo, Xiaosen, Jian, Min, Jiang, Hui, Jin, Xin, Li, Guoqing, Li, Jingxiang, Li, Yingrui, Li, Zhuo, Liu, Xiao, Lu, Yao, Ma, Xuedi, Su, Zhe, Tai, Shuaishuai, Tang, Meifang, Wang, Bo, Wang, Guangbiao, Wu, Honglong, Wu, Renhua, Yin, Ye, Zhang, Wenwei, Zhao, Jiao, Zhao, Meiru, Zheng, Xiaole, Zhou, Yan, Lander, Eric S., Gabriel, Stacey B., Gupta, Namrata, Flicek, Paul, Clarke, Laura, Leinonen, Rasko, Smith, Richard E., Zheng-Bradley, Xiangqun, Bentley, David R., Grocock, Russell, Humphray, Sean, James, Terena, Kingsbury, Zoya, Lehrach, Hans, Sudbrak, Ralf, Albrecht, Marcus W., Amstislavskiy, Vyacheslav S., Borodina, Tatiana A., Lienhard, Matthias, Mertes, Florian, Sultan, Marc, Timmermann, Bernd, Yaspo, Marie-Laure, Sherry, Stephen T., McVean, Gil A., Mardis, Elaine R., Wilson, Richard K., Fulton, Lucinda, Fulton, Robert, Weinstock, George M., Durbin, Richard M., Balasubramaniam, Senduran, Burton, John, Danecek, Petr, Keane, Thomas M., Kolb-Kokocinski, Anja, McCarthy, Shane, Stalker, James, Quail, Michael, Schmidt, Jeanette P., Davies, Christopher J., Gollub, Jeremy, Webster, Teresa, Wong, Brant, Zhan, Yiping, Auton, Adam, Yu, Fuli, Bainbridge, Matthew, Challis, Danny, Evani, Uday S., Lu, James, Nagaswamy, Uma, Sabo, Aniko, Wang, Yi, Yu, Jin, Coin, Lachlan J. M., Fang, Lin, Li, Qibin, Li, Zhenyu, Lin, Haoxiang, Liu, Binghang, Luo, Ruibang, Qin, Nan, Shao, Haojing, Wang, Bingqiang, Xie, Yinlong, Ye, Chen, Yu, Chang, Zhang, Fan, Zheng, Hancheng, Zhu, Hongmei, Garrison, Erik P., Kural, Deniz, Lee, Wan-Ping, Fung Leong, Wen, Ward, Alistair N., Wu, Jiantao, Zhang, Mengyao, Lee, Charles, Griffin, Lauren, Hsieh, Chih-Heng, Mills, Ryan E., Shi, Xinghua, von Grotthuss, Marcin, Zhang, Chengsheng, Daly, Mark J., DePristo, Mark A., Banks, Eric, Bhatia, Gaurav, Carneiro, Mauricio O., del Angel, Guillermo, Genovese, Giulio, Handsaker, Robert E., Hartl, Chris, McCarroll, Steven A., Nemesh, James C., Poplin, Ryan E., Schaffner, Stephen F., Shakir, Khalid, Yoon, Seungtai C., Lihm, Jayon, Makarov, Vladimir, Jin, Hanjun, Kim, Wook, Cheol Kim, Ki, Korbel, Jan O., Rausch, Tobias, Beal, Kathryn, Cunningham, Fiona, Herrero, Javier, McLaren, William M., Ritchie, Graham R. S., Clark, Andrew G., Gottipati, Srikanth, Keinan, Alon, Rodriguez-Flores, Juan L., Sabeti, Pardis C., Grossman, Sharon R., Tabrizi, Shervin, Tariyal, Ridhi, Cooper, David N., Ball, Edward V., Stenson, Peter D., Barnes, Bret, Bauer, Markus, Keira Cheetham, R., Cox, Tony, Eberle, Michael, Kahn, Scott, Murray, Lisa, Peden, John, Shaw, Richard, Ye, Kai, Batzer, Mark A., Konkel, Miriam K., Walker, Jerilyn A., MacArthur, Daniel G., Lek, Monkol, Sudbrak, Herwig, Ralf, Shriver, Mark D., Bustamante, Carlos D., Byrnes, Jake K., De La Vega, Francisco M., Gravel, Simon, Kenny, Eimear E., Kidd, Jeffrey M., Lacroute, Phil, Maples, Brian K., Moreno-Estrada, Andres, Zakharia, Fouad, Halperin, Eran, Baran, Yael, Craig, David W., Christoforides, Alexis, Homer, Nils, Izatt, Tyler, Kurdoglu, Ahmet A., Sinari, Shripad A., Squire, Kevin, Xiao, Chunlin, Sebat, Jonathan, Bafna, Vineet, Ye, Kenny, Burchard, Esteban G., Hernandez, Ryan D., Gignoux, Christopher R., Haussler, David, Katzman, Sol J., James Kent, W., Howie, Bryan, Ruiz-Linares, Andres, Dermitzakis, Emmanouil T., Lappalainen, Tuuli, Devine, Scott E., Liu, Xinyue, Maroo, Ankit, Tallon, Luke J., Rosenfeld, Jeffrey A., Min Kang, Hyun, Anderson, Paul, Angius, Andrea, Bigham, Abigail, Blackwell, Tom, Busonero, Fabio, Cucca, Francesco, Fuchsberger, Christian, Jones, Chris, Jun, Goo, Li, Yun, Lyons, Robert, Maschio, Andrea, Porcu, Eleonora, Reinier, Fred, Sanna, Serena, Schlessinger, David, Sidore, Carlo, Tan, Adrian, Kate Trost, Mary, Awadalla, Philip, Hodgkinson, Alan, Lunter, Gerton, McVean, Gil A., Marchini, Jonathan L., Myers, Simon, Churchhouse, Claire, Delaneau, Olivier, Gupta-Hinch, Anjali, Iqbal, Zamin, Mathieson, Iain, Rimmer, Andy, Xifara, Dionysia K., Oleksyk, Taras K., Fu, Yunxin, Liu, Xiaoming, Xiong, Momiao, Jorde, Lynn, Witherspoon, David, Xing, Jinchuan, Eichler, Evan E., Browning, Brian L., Alkan, Can, Hajirasouliha, Iman, Hormozdiari, Fereydoun, Ko, Arthur, Sudmant, Peter H., Mardis, Elaine R., Chen, Ken, Chinwalla, Asif, Ding, Li, Dooling, David, Koboldt, Daniel C., McLellan, Michael D., Wallis, John W., Wendl, Michael C., Zhang, Qunyuan, Hurles, Matthew E., Tyler-Smith, Chris, Albers, Cornelis A., Ayub, Qasim, Chen, Yuan, Coffey, Alison J., Colonna, Vincenza, Huang, Ni, Jostins, Luke, Li, Heng, Scally, Aylwyn, Walter, Klaudia, Xue, Yali, Zhang, Yujun, Gerstein, Mark B., Abyzov, Alexej, Balasubramanian, Suganthi, Chen, Jieming, Clarke, Declan, Fu, Yao, Habegger, Lukas, Harmanci, Arif O., Jin, Mike, Khurana, Ekta, Jasmine Mu, Xinmeng, Sisu, Cristina, Lee, Charles, McCarroll, Steven A., Degenhardt, Jeremiah, Korbel, Jan O., Stütz, Adrian M., Church, Deanna, Michaelson, Jacob J., Eichler, Evan E., Hurles, Matthew E., Blackburne, Ben, Lindsay, Sarah J., Ning, Zemin, DePristo, Mark A., Min Kang, Hyun, Mardis, Elaine R., Yu, Fuli, Michelson, Leslie P., Tyler-Smith, Chris, Frankish, Adam, Harrow, Jennifer, Fowler, Gerald, Hale, Walker, Kalra, Divya, Flicek, Paul, Clarke, Laura, Barker, Jonathan, Kelman, Gavin, Kulesha, Eugene, Radhakrishnan, Rajesh, Roa, Asier, Smirnov, Dmitriy, Streeter, Ian, Toneva, Iliana, Vaughan, Brendan, Sherry, Stephen T., Ananiev, Victor, Belaia, Zinaida, Beloslyudtsev, Dimitriy, Bouk, Nathan, Chen, Chao, Cohen, Robert, Cook, Charles, Garner, John, Hefferon, Timothy, Kimelman, Mikhail, Liu, Chunlei, Lopez, John, Meric, Peter, OʼSullivan, Chris, Ostapchuk, Yuri, Phan, Lon, Ponomarov, Sergiy, Schneider, Valerie, Shekhtman, Eugene, Sirotkin, Karl, Slotta, Douglas, Zhang, Hua, Chakravarti, Aravinda, Knoppers, Bartha M., Barnes, Kathleen C., Beiswanger, Christine, Burchard, Esteban G., Bustamante, Carlos D., Cai, Hongyu, Cao, Hongzhi, Durbin, Richard M., Gharani, Neda, Henn, Brenna, Jones, Danielle, Jorde, Lynn, Kaye, Jane S., Kent, Alastair, Kerasidou, Angeliki, Mathias, Rasika, Ossorio, Pilar N., Parker, Michael, Reich, David, Rotimi, Charles N., Royal, Charmaine D., Sandoval, Karla, Su, Yeyang, Sudbrak, Ralf, Tian, Zhongming, Tishkoff, Sarah, Toji, Lorraine H., Tyler-Smith, Chris, Via, Marc, Wang, Yuhong, Yang, Huanming, Yang, Ling, Zhu, Jiayong, Bodmer, Walter, Bedoya, Gabriel, Ruiz-Linares, Andres, Zhi Ming, Cai, Yang, Gao, Jia You, Chu, Peltonen, Leena, Garcia-Montero, Andres, Orfao, Alberto, Dutil, Julie, Martinez-Cruzado, Juan C., Oleksyk, Taras K., Brooks, Lisa D., Felsenfeld, Adam L., McEwen, Jean E., Clemm, Nicholas C., Duncanson, Audrey, Dunn, Michael, Guyer, Mark S., Peterson, Jane L., Abecasis, Goncalo R., and Auton, Adam

Published
2012
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9. Genome-wide association study of CNVs in 16,000 cases of eight common diseases and 3,000 shared controls

Author

Craddock, Nick, Hurles, Matthew E., Cardin, Niall, Pearson, Richard D., Plagnol, Vincent, Robson, Samuel, Vukcevic, Damjan, Barnes, Chris, Conrad, Donald F., Giannoulatou, Eleni, Holmes, Chris, Marchini, Jonathan L., Stirrups, Kathy, Tobin, Martin D., Wain, Louise V., Yau, Chris, Aerts, Jan, Ahmad, Tariq, Daniel Andrews, T., Arbury, Hazel, Attwood, Anthony, Auton, Adam, Ball, Stephen G., Balmforth, Anthony J., Barrett, Jeffrey C., Barroso, Inês, Barton, Anne, Bennett, Amanda J., Bhaskar, Sanjeev, Blaszczyk, Katarzyna, Bowes, John, Brand, Oliver J., Braund, Peter S., Bredin, Francesca, Breen, Gerome, Brown, Morris J., Bruce, Ian N., Bull, Jaswinder, Burren, Oliver S., Burton, John, Byrnes, Jake, Caesar, Sian, Clee, Chris M., Coffey, Alison J., Connell, John M. C., Cooper, Jason D., Dominiczak, Anna F., Downes, Kate, Drummond, Hazel E., Dudakia, Darshna, Dunham, Andrew, Ebbs, Bernadette, Eccles, Diana, Edkins, Sarah, Edwards, Cathryn, Elliot, Anna, Emery, Paul, Evans, David M., Evans, Gareth, Eyre, Steve, Farmer, Anne, Nicol Ferrier, I., Feuk, Lars, Fitzgerald, Tomas, Flynn, Edward, Forbes, Alistair, Forty, Liz, Franklyn, Jayne A., Freathy, Rachel M., Gibbs, Polly, Gilbert, Paul, Gokumen, Omer, Gordon-Smith, Katherine, Gray, Emma, Green, Elaine, Groves, Chris J., Grozeva, Detelina, Gwilliam, Rhian, Hall, Anita, Hammond, Naomi, Hardy, Matt, Harrison, Pile, Hassanali, Neelam, Hebaishi, Husam, Hines, Sarah, Hinks, Anne, Hitman, Graham A, Hocking, Lynne, Howard, Eleanor, Howard, Philip, Howson, Joanna M. M., Hughes, Debbie, Hunt, Sarah, Isaacs, John D., Jain, Mahim, Jewell, Derek P., Johnson, Toby, Jolley, Jennifer D., Jones, Ian R., Jones, Lisa A., Kirov, George, Langford, Cordelia F., Lango-Allen, Hana, Mark Lathrop, G., Lee, James, Lee, Kate L., Lees, Charlie, Lewis, Kevin, Lindgren, Cecilia M., Maisuria-Armer, Meeta, Maller, Julian, Mansfield, John, Martin, Paul, Massey, Dunecan C. O., McArdle, Wendy L., McGuffin, Peter, McLay, Kirsten E., Mentzer, Alex, Mimmack, Michael L., Morgan, Ann E., Morris, Andrew P., Mowat, Craig, Myers, Simon, Newman, William, Nimmo, Elaine R., O’Donovan, Michael C., Onipinla, Abiodun, Onyiah, Ifejinelo, Ovington, Nigel R., Owen, Michael J., Palin, Kimmo, Parnell, Kirstie, Pernet, David, Perry, John R. B., Phillips, Anne, Pinto, Dalila, Prescott, Natalie J., Prokopenko, Inga, Quail, Michael A., Rafelt, Suzanne, Rayner, Nigel W., Redon, Richard, Reid, David M., Renwick, Anthony, Ring, Susan M., Robertson, Neil, Russell, Ellie, St Clair, David, Sambrook, Jennifer G., Sanderson, Jeremy D., Schuilenburg, Helen, Scott, Carol E., Scott, Richard, Seal, Sheila, Shaw-Hawkins, Sue, Shields, Beverley M., Simmonds, Matthew J., Smyth, Debbie J., Somaskantharajah, Elilan, Spanova, Katarina, Steer, Sophia, Stephens, Jonathan, Stevens, Helen E., Stone, Millicent A., Su, Zhan, Symmons, Deborah P. M., Thompson, John R., Thomson, Wendy, Travers, Mary E., Turnbull, Clare, Valsesia, Armand, Walker, Mark, Walker, Neil M., Wallace, Chris, Warren-Perry, Margaret, Watkins, Nicholas A., Webster, John, Weedon, Michael N., Wilson, Anthony G., Woodburn, Matthew, Wordsworth, Paul B., Young, Allan H., Zeggini, Eleftheria, Carter, Nigel P., Frayling, Timothy M., Lee, Charles, McVean, Gil, Munroe, Patricia B., Palotie, Aarno, Sawcer, Stephen J., Scherer, Stephen W., Strachan, David P., Tyler-Smith, Chris, Brown, Matthew A., Burton, Paul R., Caulfield, Mark J., Compston, Alastair, Farrall, Martin, Gough, Stephen C. L., Hall, Alistair S., Hattersley, Andrew T., Hill, Adrian V. S., Mathew, Christopher G., Pembrey, Marcus, Satsangi, Jack, Stratton, Michael R., Worthington, Jane, Deloukas, Panos, Duncanson, Audrey, Kwiatkowski, Dominic P., McCarthy, Mark I., Ouwehand, Willem H., Parkes, Miles, Rahman, Nazneen, Todd, John A., Samani, Nilesh J., and Donnelly, Peter

Published
2010
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11. Reconstructing Native American Migrations from Whole-Genome and Whole-Exome Data

Author

Gravel, Simon, Zakharia, Fouad, Moreno Estrada, Andrés, Byrnes, Jake K., Muzzio, Marina, Rodriguez Flores, Juan L., Kenny, Eimear E., Gignoux, Christopher R., Maples, Brian K., Guiblet, Wilfried, Dutil, Julie, Via, Marc, Sandoval, Karla, Bedoya, Gabriel, Oleksyk, Taras K., Ruiz Linares, Andrés, Burchard, Esteban G., Martinez Cruzado, Juan Carlos, Bustamante, Carlos D., The 1000 Genomes Project, and Universitat de Barcelona

Subjects
Cancer Research, Population genetics, Amèrica, Genoma humà, 92D25, purl.org/becyt/ford/1 [https], Effective population size, Gene Frequency, Models, Human Genome Project, Mexican Americans, Sequencing, Exome, Aborígens, Genetics (clinical), Native American Migrations, Genetics, 0303 health sciences, education.field_of_study, Human migration, Population size, 030305 genetics & heredity, Chromosome Mapping, Hispanic or Latino, Bioquímica y Biología Molecular, Full Genomes, CIENCIAS NATURALES Y EXACTAS, Research Article, lcsh:QH426-470, Human Migration, Population, Black People, America, Biology, White People, Ciencias Biológicas, 03 medical and health sciences, Pobles indígenes, Migració de pobles, Humans, Ciencias Naturales, Quantitative Biology - Genomics, 1000 Genomes Project, purl.org/becyt/ford/1.6 [https], education, Quantitative Biology - Populations and Evolution, Molecular Biology, Genotyping, Allele frequency, Mexico, Ecology, Evolution, Behavior and Systematics, 030304 developmental biology, Genomics (q-bio.GN), Human genome, business.industry, Genome, Human, Puerto Rico, Racial Groups, Native American, Populations and Evolution (q-bio.PE), 15. Life on land, Migrations of nations, lcsh:Genetics, Genetics, Population, Evolutionary biology, FOS: Biological sciences, Indians, North American, Indigenous peoples, business
Abstract

There is great scientific and popular interest in understanding the genetic history of populations in the Americas. We wish to understand when different regions of the continent were inhabited, where settlers came from, and how current inhabitants relate genetically to earlier populations. Recent studies unraveled parts of the genetic history of the continent using genotyping arrays and uniparental markers. The 1000 Genomes Project provides a unique opportunity for improving our understanding of population genetic history by providing over a hundred sequenced low coverage genomes and exomes from Colombian (CLM), Mexican-American (MXL), and Puerto Rican (PUR) populations. Here, we explore the genomic contributions of African, European, and especially Native American ancestry to these populations. Estimated Native American ancestry is 48% in MXL, 25% in CLM, and 13% in PUR. Native American ancestry in PUR is most closely related to populations surrounding the Orinoco River basin, confirming the Southern America ancestry of the Taíno people of the Caribbean. We present new methods to estimate the allele frequencies in the Native American fraction of the populations, and model their distribution using a demographic model for three ancestral Native American populations. These ancestral populations likely split in close succession: the most likely scenario, based on a peopling of the Americas 16 thousand years ago (kya), supports that the MXL Ancestors split 12.2kya, with a subsequent split of the ancestors to CLM and PUR 11.7kya. The model also features effective populations of 62,000 in Mexico, 8,700 in Colombia, and 1,900 in Puerto Rico. Modeling Identity-by-descent (IBD) and ancestry tract length, we show that post-contact populations also differ markedly in their effective sizes and migration patterns, with Puerto Rico showing the smallest effective size and the earlier migration from Europe. Finally, we compare IBD and ancestry assignments to find evidence for relatedness among European founders to the three populations., Facultad de Ciencias Naturales y Museo, Instituto Multidisciplinario de Biología Celular

Published
2013

12. Using Y−Chromosome Haplotypes to Improve Inferred Ancestral Origins in European Populations

Author

Myres, Natalie, Underhill, Peter, Byrnes, Jake, Noto, Keith, Mazières, Stéphane, King, Roy, Angerhofer, Norman, Woodward, Scott, Ball, Cathy, Chahine, Ken, Sorenson Molecular Genealogy Foundation, Department of Psychiatry and Behavioral Sciences [Stanford], Stanford Medicine, Stanford University-Stanford University, Anthropologie bio-culturelle, Droit, Ethique et Santé (ADES), Aix Marseille Université (AMU)-EFS ALPES MEDITERRANEE-Centre National de la Recherche Scientifique (CNRS), and Mazières, Stéphane

Subjects
[SHS.ANTHRO-BIO]Humanities and Social Sciences/Biological anthropology, ComputingMilieux_MISCELLANEOUS, [SHS.ANTHRO-BIO] Humanities and Social Sciences/Biological anthropology
Abstract

International audience

Published
2012

13. Reconstructing the Population Genetic History of the Caribbean.

Author

Moreno-Estrada, Andrés, Gravel, Simon, Zakharia, Fouad, McCauley, Jacob L., Byrnes, Jake K., Gignoux, Christopher R., Ortiz-Tello, Patricia A., Martínez, Ricardo J., Hedges, Dale J., Morris, Richard W., Eng, Celeste, Sandoval, Karla, Acevedo-Acevedo, Suehelay, Norman, Paul J., Layrisse, Zulay, Parham, Peter, Martínez-Cruzado, Juan Carlos, Burchard, Esteban González, Cuccaro, Michael L., and Martin, Eden R.

Subjects
HUMAN population genetics, DEMOGRAPHIC change, CARIBBEAN civilization, HAPLOTYPES, CARIBBEAN people, TRIBES, HISTORY of slave trades, HISTORY
Abstract

The Caribbean basin is home to some of the most complex interactions in recent history among previously diverged human populations. Here, we investigate the population genetic history of this region by characterizing patterns of genome-wide variation among 330 individuals from three of the Greater Antilles (Cuba, Puerto Rico, Hispaniola), two mainland (Honduras, Colombia), and three Native South American (Yukpa, Bari, and Warao) populations. We combine these data with a unique database of genomic variation in over 3,000 individuals from diverse European, African, and Native American populations. We use local ancestry inference and tract length distributions to test different demographic scenarios for the pre- and post-colonial history of the region. We develop a novel ancestry-specific PCA (ASPCA) method to reconstruct the sub-continental origin of Native American, European, and African haplotypes from admixed genomes. We find that the most likely source of the indigenous ancestry in Caribbean islanders is a Native South American component shared among inland Amazonian tribes, Central America, and the Yucatan peninsula, suggesting extensive gene flow across the Caribbean in pre-Columbian times. We find evidence of two pulses of African migration. The first pulse—which today is reflected by shorter, older ancestry tracts—consists of a genetic component more similar to coastal West African regions involved in early stages of the trans-Atlantic slave trade. The second pulse—reflected by longer, younger tracts—is more similar to present-day West-Central African populations, supporting historical records of later transatlantic deportation. Surprisingly, we also identify a Latino-specific European component that has significantly diverged from its parental Iberian source populations, presumably as a result of small European founder population size. We demonstrate that the ancestral components in admixed genomes can be traced back to distinct sub-continental source populations with far greater resolution than previously thought, even when limited pre-Columbian Caribbean haplotypes have survived. [ABSTRACT FROM AUTHOR]

Published
2013
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14. Bayesian refinement of association signals for 14 loci in 3 common diseases.

Author

Maller, Julian B, McVean, Gilean, Byrnes, Jake, Vukcevic, Damjan, Palin, Kimmo, Su, Zhan, Howson, Joanna M M, Auton, Adam, Myers, Simon, Morris, Andrew, Pirinen, Matti, Brown, Matthew A, Burton, Paul R, Caulfield, Mark J, Compston, Alastair, Farrall, Martin, Hall, Alistair S, Hattersley, Andrew T, Hill, Adrian V S, and Mathew, Christopher G

Subjects
GRAVES' disease, CONTROL groups, ETIOLOGY of diseases, BAYESIAN analysis, CELLULAR signal transduction, GENE mapping, GENE targeting, DISEASE susceptibility
Abstract

To further investigate susceptibility loci identified by genome-wide association studies, we genotyped 5,500 SNPs across 14 associated regions in 8,000 samples from a control group and 3 diseases: type 2 diabetes (T2D), coronary artery disease (CAD) and Graves' disease. We defined, using Bayes theorem, credible sets of SNPs that were 95% likely, based on posterior probability, to contain the causal disease-associated SNPs. In 3 of the 14 regions, TCF7L2 (T2D), CTLA4 (Graves' disease) and CDKN2A-CDKN2B (T2D), much of the posterior probability rested on a single SNP, and, in 4 other regions (CDKN2A-CDKN2B (CAD) and CDKAL1, FTO and HHEX (T2D)), the 95% sets were small, thereby excluding most SNPs as potentially causal. Very few SNPs in our credible sets had annotated functions, illustrating the limitations in understanding the mechanisms underlying susceptibility to common diseases. Our results also show the value of more detailed mapping to target sequences for functional studies. [ABSTRACT FROM AUTHOR]

Published
2012
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15. Genomic Ancestry of North Africans Supports Back-to-Africa Migrations.

Author

Henn, Brenna M., Botigué, Laura R., Gravel, Simon, Wei Wang, Brisbin, Abra, Byrnes, Jake K., Fadhlaoui-Zid, Karima, Zalloua, Pierre A., Moreno-Estrada, Andres, Bertranpetit, Jaume, Bustamante, Carlos D., and Comas, David

Subjects
GENEALOGY, NORTH Africans, EMIGRATION & immigration, HISTORY of North Africa
Abstract

North African populations are distinct from sub-Saharan Africans based on cultural, linguistic, and phenotypic attributes; however, the time and the extent of genetic divergence between populations north and south of the Sahara remain poorly understood. Here, we interrogate the multilayered history of North Africa by characterizing the effect of hypothesized migrations from the Near East, Europe, and sub-Saharan Africa on current genetic diversity. We present dense, genomewide SNP genotyping array data (730,000 sites) from seven North African populations, spanning from Egypt to Morocco, and one Spanish population. We identify a gradient of likely autochthonous Maghrebi ancestry that increases from east to west across northern Africa; this ancestry is likely derived from "back-to-Africa" gene flow more than 12,000 years ago (ya), prior to the Holocene. The indigenous North African ancestry is more frequent in populations with historical Berber ethnicity. In most North African populations we also see substantial shared ancestry with the Near East, and to a lesser extent sub-Saharan Africa and Europe. To estimate the time of migration from sub-Saharan populations into North Africa, we implement a maximum likelihood dating method based on the distribution of migrant tracts. In order to first identify migrant tracts, we assign local ancestry to haplotypes using a novel, principal component-based analysis of three ancestral populations. We estimate that a migration of western African origin into Morocco began about 40 generations ago (approximately 1,200 ya); a migration of individuals with Nilotic ancestry into Egypt occurred about 25 generations ago (approximately 750 ya). Our genomic data reveal an extraordinarily complex history of migrations, involving at least five ancestral populations, into North Africa. [ABSTRACT FROM AUTHOR]

Published
2012
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16. Phased Whole-Genome Genetic Risk in a Family Quartet Using a Major Allele Reference Sequence.

Author

Dewey, Frederick E., Chen, Rong, Cordero, Sergio P., Ormond, Kelly E., Caleshu, Colleen, Karczewski, Konrad J., Whirl-Carrillo, Michelle, Wheeler, Matthew T., Dudley, Joel T., Byrnes, Jake K., Cornejo, Omar E., Knowles, Joshua W., Woon, Mark, Sangkuhl, Katrin, Li, Gong, Thorn, Caroline F., Hebert, Joan M., Capriotti, Emidio, David, Sean P., and Pavlovic, Aleksandra

Subjects
GENOMICS, HUMAN genetic variation, GENETIC recombination, LEUCOCYTES, PHARMACOGENOMICS, LOCUS (Genetics), PHARMACOLOGY
Abstract

Whole-genome sequencing harbors unprecedented potential for characterization of individual and family genetic variation. Here, we develop a novel synthetic human reference sequence that is ethnically concordant and use it for the analysis of genomes from a nuclear family with history of familial thrombophilia. We demonstrate that the use of the major allele reference sequence results in improved genotype accuracy for disease-associated variant loci. We infer recombination sites to the lowest median resolution demonstrated to date (,1,000 base pairs). We use family inheritance state analysis to control sequencing error and inform family-wide haplotype phasing, allowing quantification of genome-wide compound heterozygosity. We develop a sequence-based methodology for Human Leukocyte Antigen typing that contributes to disease risk prediction. Finally, we advance methods for analysis of disease and pharmacogenomic risk across the coding and non-coding genome that incorporate phased variant data. We show these methods are capable of identifying multigenic risk for inherited thrombophilia and informing the appropriate pharmacological therapy. These ethnicity-specific, family-based approaches to interpretation of genetic variation are emblematic of the next generation of genetic risk assessment using whole-genome sequencing. [ABSTRACT FROM AUTHOR]

Published
2011
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17. Codon-usage bias versus gene conversion in the evolution of yeast duplicate genes.

Author

Yeong-Shin Lin, Byrnes, Jake K., Jenn-Kang Hwang, and Wen-Hsiung Li

Subjects
*SACCHAROMYCES cerevisiae, *KLUYVEROMYCES, *FUNGI, *GENES, *PROTEINS, *BIOLOGICAL evolution
Abstract

Many Saccharomyces cerevisiae duplicate genes that were derived from an ancient whole-genome duplication (WGD) unexpectedly show a small synonymous divergence (Ks), a higher sequence similarity to each other than to orthologues in Saccharomyces bayanus, or slow evolution compared with the orthologue in Kluyveromyces waltii, a non-WGD species. This decelerated evolution was attributed to gene conversion between duplicates. Using ≈300 WGD gene pairs in four species and their orthologues in non-WGD species, we show that codon-usage bias and protein-sequence conservation are two important causes for decelerated evolution of duplicate genes, whereas gene conversion is effective only in the presence of strong codon-usage bias or protein-sequence conservation. Furthermore, we find that change in mutation pattern or in tDNA copy number changed codon-usage bias and increased the Ks distance between K. waltii and S. cerevisiae. Intriguingly, some proteins showed fast evolution before the radiation of WGD species but little or no sequence divergence between orthologues and paralogues thereafter, indicating that functional conservation after the radiation may also be responsible for decelerated evolution in duplicates. [ABSTRACT FROM AUTHOR]

Published
2006
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18. Role of positive selection in the retention of duplicate genes in mammalian genomes.

Author

Shin-Han Shiu, Byrnes, Jake K., Pan, Runsun, Peng Zhang, and Wen-Hsiung Li

Subjects
*GENES, *COMPLEMENTATION (Genetics), *POPULATION genetics, *HUMAN genome, *BIOLOGICAL divergence, *GENOMICS
Abstract

The question of how duplicate genes are retained in a population remains controversial. The duplication-degeneration-complementation model, which involves no positive selection, stipulates a higher retention rate of duplicate genes in a small population than in a large one. This model has been accepted by many evolutionists. However, we found considerably more retentions and fewer losses of duplicate genes in the mouse genome than in the human genome, although the population size of rodents is in general larger than that of primates. Indeed, in nearly every interval of synonymous divergence between duplicate genes, the number of gene retentions in mouse is larger than that in human. Our findings suggest a more important role of positive selection in duplicate retention than duplication-degeneration-complementation. In addition, certain functional categories show a higher tendency of lineage-specific expansion than expected, suggesting lineage-specific selection or functional bias in retained duplicates. [ABSTRACT FROM AUTHOR]

Published
2006
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19. Parent-of-origin of HLA-DRB1*1501 and age of onset of multiple sclerosis.

Author

Ramagopalan, Sreeram V., Byrnes, Jake K., Dyment, David A., Guimond, Colleen, Handunnetthi, Lahiru, Disanto, Giulio, Yee, Irene M., Ebers, George C., and Sadovnick, A. Dessa

Subjects
*MULTIPLE sclerosis, *EPIDEMIOLOGICAL research, *DISEASE relapse, *PATIENTS, *DEMYELINATION
Abstract

Multiple sclerosis (MS) is a complex neurological trait. Allelic variation in the MHC class II region exerts the single strongest effect on MS genetic risk. The clinical onset of the disease is extremely variable, and can range from the first to the ninth decade of life. Epidemiological studies have suggested a modest genetic component to the age of onset (AO) of MS. Previous studies have shown that HLA-DRB1*1501 may be associated with a younger AO. Here, we sought to uncover any effect of HLA-DRB1*1501 on the AO of MS in a large Canadian cohort. A total of 1816 MS patients were genotyped for HLA-DRB1. Patients carrying HLA-DRB1*1501 were shown to have a small, but significantly lower, AO than patients without the allele (P=0.03). HLA-DRB1*1501 was also shown to reduce the mean AO in both progressive and relapsing forms of the disease. An investigation of parent-of-origin effects indicated that the lower AO for HLA-DRB1*1501 patients arises from maternally transmitted HLA-DRB1*1501 haplotypes (maternal HLA-DRB1*1501 mean AO=28.4 years, paternal=30.3 years; P=0.009). HLA-DRB1*1501 exerts a modest, but significant effect on the AO of all forms of MS. Parent-of-origin effects at the MHC are further implicated in MS disease pathogenesis. [ABSTRACT FROM AUTHOR]

Published
2009
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21. Population Genetic Inference from Personal Genome Data: Impact of Ancestry and Admixture on Human Genomic Variation

Author

Kidd, Jeffrey M., Gravel, Simon, Byrnes, Jake, Moreno-Estrada, Andres, Musharoff, Shaila, Bryc, Katarzyna, Degenhardt, Jeremiah D., Brisbin, Abra, Sheth, Vrunda, Chen, Rong, McLaughlin, Stephen F., Peckham, Heather E., Omberg, Larsson, Bormann Chung, Christina A., Stanley, Sarah, Pearlstein, Kevin, Levandowsky, Elizabeth, Acevedo-Acevedo, Suehelay, Auton, Adam, and Keinan, Alon

Subjects
*POPULATION genetics, *HUMAN genome, *HUMAN genetic variation, *GENE flow, *HETEROZYGOSITY, *DIPLOIDY, *SINGLE nucleotide polymorphisms
Abstract

Full sequencing of individual human genomes has greatly expanded our understanding of human genetic variation and population history. Here, we present a systematic analysis of 50 human genomes from 11 diverse global populations sequenced at high coverage. Our sample includes 12 individuals who have admixed ancestry and who have varying degrees of recent (within the last 500 years) African, Native American, and European ancestry. We found over 21 million single-nucleotide variants that contribute to a 1.75-fold range in nucleotide heterozygosity across diverse human genomes. This heterozygosity ranged from a high of one heterozygous site per kilobase in west African genomes to a low of 0.57 heterozygous sites per kilobase in segments inferred to have diploid Native American ancestry from the genomes of Mexican and Puerto Rican individuals. We show evidence of all three continental ancestries in the genomes of Mexican, Puerto Rican, and African American populations, and the genome-wide statistics are highly consistent across individuals from a population once ancestry proportions have been accounted for. Using a generalized linear model, we identified subtle variations across populations in the proportion of neutral versus deleterious variation and found that genome-wide statistics vary in admixed populations even once ancestry proportions have been factored in. We further infer that multiple periods of gene flow shaped the diversity of admixed populations in the Americas—70% of the European ancestry in today’s African Americans dates back to European gene flow happening only 7–8 generations ago. [Copyright &y& Elsevier]

Published
2012
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22. A Prospective Analysis of Genetic Variants Associated with Human Lifespan.

Author

Wright, Kevin M., Rand, Kristin A., Kermany, Amir, Noto, Keith, Curtis, Don, Garrigan, Daniel, Slinkov, Dmitri, Dorfman, Ilya, Granka, Julie M., Byrnes, Jake, Myres, Natalie, Ball, Catherine A., and Ruby, J. Graham

Subjects
*GENETIC correlations, *HERITABILITY, *GENEALOGY, *VARIANCES, *PROXY
Abstract

We present a massive investigation into the genetic basis of human lifespan. Beginning with a genome-wide association (GWA) study using a de-identified snapshot of the unique AncestryDNA database - more than 300,000 genotyped individuals linked to pedigrees of over 400,000,000 people - we mapped six genome-wide significant loci associated with parental lifespan. We compared these results to a GWA analysis of the traditional lifespan proxy trait, age, and found only one locus, APOE, to be associated with both age and lifespan. By combining the AncestryDNA results with those of an independent UK Biobank dataset, we conducted a meta-analysis of more than 650,000 individuals and identified fifteen parental lifespan-associated loci. Beyond just those significant loci, our genome-wide set of polymorphisms accounts for up to 8% of the variance in human lifespan; this value represents a large fraction of the heritability estimated from phenotypic correlations between relatives. [ABSTRACT FROM AUTHOR]

Published
2019
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23. Estimates of the Heritability of Human Longevity Are Substantially Inflated due to Assortative Mating.

Author

Ruby, J. Graham, Wright, Kevin M., Rand, Kristin A., Kermany, Amir, Noto, Keith, Curtis, Don, Varner, Neal, Garrigan, Daniel, Slinkov, Dmitri, Dorfman, Ilya, Granka, Julie M., Byrnes, Jake, Myres, Natalie, and Ball, Catherine

Subjects
*BIRTH rate, *LIFE expectancy, *LONGEVITY, *HUMAN sexuality, *PHENOTYPES, *STRUCTURAL equation modeling
Abstract

Human life span is a phenotype that integrates many aspects of health and environment into a single ultimate quantity: the elapsed time between birth and death. Though it is widely believed that long life runs in families for genetic reasons, estimates of life span "heritability" are consistently low (~15-30%). Here, we used pedigree data from Ancestry public trees, including hundreds of millions of historical persons, to estimate the heritability of human longevity. Although "nominal heritability" estimates based on correlations among genetic relatives agreed with prior literature, the majority of that correlation was also captured by correlations among nongenetic (in-law) relatives, suggestive of highly assortative mating around life span-influencing factors (genetic and/or environmental). We used structural equation modeling to account for assortative mating, and concluded that the true heritability of human longevity for birth cohorts across the 1800s and early 1900s was well below 10%, and that it has been generally overestimated due to the effect of assortative mating. [ABSTRACT FROM AUTHOR]

Published
2018
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24. Reconstructing Native American migrations from whole-genome and whole-exome data.

Author

Gravel S, Zakharia F, Moreno-Estrada A, Byrnes JK, Muzzio M, Rodriguez-Flores JL, Kenny EE, Gignoux CR, Maples BK, Guiblet W, Dutil J, Via M, Sandoval K, Bedoya G, Oleksyk TK, Ruiz-Linares A, Burchard EG, Martinez-Cruzado JC, and Bustamante CD

Subjects
Black People genetics, Chromosome Mapping, Exome, Genome, Human, Hispanic or Latino genetics, Human Genome Project, Humans, Mexican Americans genetics, Mexico, Puerto Rico, Racial Groups genetics, White People genetics, Gene Frequency genetics, Genetics, Population, Human Migration, Indians, North American genetics
Abstract

There is great scientific and popular interest in understanding the genetic history of populations in the Americas. We wish to understand when different regions of the continent were inhabited, where settlers came from, and how current inhabitants relate genetically to earlier populations. Recent studies unraveled parts of the genetic history of the continent using genotyping arrays and uniparental markers. The 1000 Genomes Project provides a unique opportunity for improving our understanding of population genetic history by providing over a hundred sequenced low coverage genomes and exomes from Colombian (CLM), Mexican-American (MXL), and Puerto Rican (PUR) populations. Here, we explore the genomic contributions of African, European, and especially Native American ancestry to these populations. Estimated Native American ancestry is 48% in MXL, 25% in CLM, and 13% in PUR. Native American ancestry in PUR is most closely related to populations surrounding the Orinoco River basin, confirming the Southern American ancestry of the Taíno people of the Caribbean. We present new methods to estimate the allele frequencies in the Native American fraction of the populations, and model their distribution using a demographic model for three ancestral Native American populations. These ancestral populations likely split in close succession: the most likely scenario, based on a peopling of the Americas 16 thousand years ago (kya), supports that the MXL Ancestors split 12.2kya, with a subsequent split of the ancestors to CLM and PUR 11.7kya. The model also features effective populations of 62,000 in Mexico, 8,700 in Colombia, and 1,900 in Puerto Rico. Modeling Identity-by-descent (IBD) and ancestry tract length, we show that post-contact populations also differ markedly in their effective sizes and migration patterns, with Puerto Rico showing the smallest effective size and the earlier migration from Europe. Finally, we compare IBD and ancestry assignments to find evidence for relatedness among European founders to the three populations., Competing Interests: The authors have declared that no competing interests exist.

Published
2013
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25. Whole genome transcriptome polymorphisms in Arabidopsis thaliana.

Author

Zhang X, Byrnes JK, Gal TS, Li WH, and Borevitz JO

Subjects
Alternative Splicing, Arabidopsis metabolism, Gene Expression Regulation, Plant, Markov Chains, Arabidopsis genetics, Gene Expression Profiling, Genome, Plant, Polymorphism, Genetic
Abstract

Whole genome tiling arrays are a key tool for profiling global genetic and expression variation. In this study we present our methods for detecting transcript level variation, splicing variation and allele specific expression in Arabidopsis thaliana. We also developed a generalized hidden Markov model for profiling transcribed fragment variation de novo. Our study demonstrates that whole genome tiling arrays are a powerful platform for dissecting natural transcriptome variation at multi-dimension and high resolution.

Published
2008
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