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Your search keyword '"Danecek, Petr"' showing total 12 results
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12 results on '"Danecek, Petr"'

1. Narrow-sense heritability estimation of complex traits using identity-by-descent information

Author

Evans, Luke M., Tahmasbi, Rasool, Jones, Matthew, Vrieze, Scott I., Abecasis, Gonçalo R., Das, Sayantan, Bjelland, Doug W., deCandia, Teresa R., Abecasis, Gonçalo, Altshuler, David, Anderson, Carl A, Angius, Andrea, Barrett, Jeffrey C, Berndt, Sonja, Boehnke, Michael, Boomsma, Dorrett, Branham, Kari, Breen, Gerome, Brummett, Chad M, Busonero, Fabio, Campbell, Harry, Campbell, Peter, Chan, Andrew, Chen, Sai, Chew, Emily, Cocca, Massimiliano, Collins, Francis S, Corbin, Laura J, Cucca, Francesco, Danecek, Petr, de Bakker, Paul I W, Dedoussis, George, Dekker, Annelot, Delaneau, Olivier, Dorr, Marcus, Durbin, Richard, Farmaki, Aliki-Eleni, Ferrucci, Luigi, Forer, Lukas, Fraser, Ross M, Frayling, Timothy, Fuchsberger, Christian, Gabriel, Stacey, Gandin, Ilaria, Gasparini, Paolo, Gillies, Christopher E, Gilly, Arthur, Groop, Leif, Harrison, Tabitha, Hattersley, Andrew, Holmen, Oddgeir L, Hveem, Kristian, Iacono, William, Joshi, Amit, Kang, Hyun Min, Khalili, Hamed, Kooperberg, Charles, Koskinen, Seppo, Kretzler, Matthias, Kretzschmar, Warren, Kwong, Alan, Lee, James C, Levy, Shawn, Luo, Yang, Mahajan, Anubha, Marchini, Jonathan, McCarroll, Steven, McCarthy, Mark I, McCarthy, Shane, McGue, Matt, McInnis, Melvin, Meitinger, Thomas, Melzer, David, Mezzavilla, Massimo, Min, Josine L, Mohlke, Karen L, Myers, Richard M, Nauck, Matthias, Nickerson, Deborah, Palotie, Aarno, Pato, Carlos, Pato, Michele, Peters, Ulrike, Pirastu, Nicola, Rheenen, Wouter Van, Richards, J Brent, Ripatti, Samuli, Sala, Cinzia, Salomaa, Veikko, Sampson, Matthew G, Schlessinger, David, Schoen, Robert E, Schoenherr, Sebastian, Scott, Laura J, Sharp, Kevin, Sidore, Carlo, Slagboom, P Eline, Small, Kerrin, Smith, George Davey, Soranzo, Nicole, Spector, Timothy, Stambolian, Dwight, Swaroop, Anand, Swertz, Morris A, Teumer, Alexander, Timpson, Nicholas, Toniolo, Daniela, Traglia, Michela, Tuke, Marcus, Tuomilehto, Jaakko, den Berg, Leonard H Van, van Duijn, Cornelia M, Veldink, Jan, Vincent, John B, Volker, Uwe, Vrieze, Scott, Walter, Klaudia, Wijmenga, Cisca, Willer, Cristen, Wilson, James F, Wood, Andrew R, Zeggini, Eleftheria, Zhang, He, Yang, Jian, Goddard, Michael E., Visscher, Peter M., and Keller, Matthew C.

Subjects
0301 basic medicine, Genome-wide association study, Biology, Population stratification, Genetic correlation, Polymorphism, Single Nucleotide, Identity by descent, Article, 03 medical and health sciences, 0302 clinical medicine, Gene Frequency, Missing heritability problem, Genetic variation, Genetics, Chromosomes, Human, Humans, Human height, Genetics (clinical), 030304 developmental biology, 0303 health sciences, Genome, Human, Heritability, Twin study, Minor allele frequency, Phenotype, 030104 developmental biology, Haplotypes, Evolutionary biology, Trait, 030217 neurology & neurosurgery
Abstract

Heritability is a fundamental parameter in genetics. Traditional estimates based on family or twin studies can be biased due to shared environmental or non-additive genetic variance. Alternatively, those based on genotyped or imputed variants typically underestimate narrow-sense heritability contributed by rare or otherwise poorly tagged causal variants. Identical-by-descent (IBD) segments of the genome share all variants between pairs of chromosomes except new mutations that have arisen since the last common ancestor. Therefore, relating phenotypic similarity to degree of IBD sharing among classically unrelated individuals is an appealing approach to estimating the near full additive genetic variance while possibly avoiding biases that can occur when modeling close relatives. We applied an IBD-based approach (GREML-IBD) to estimate heritability in unrelated individuals using phenotypic simulation with thousands of whole-genome sequences across a range of stratification, polygenicity levels, and the minor allele frequencies of causal variants (CVs). In simulations, the IBD-based approach produced unbiased heritability estimates, even when CVs were extremely rare, although precision was low. However, population stratification and non-genetic familial environmental effects shared across generations led to strong biases in IBD-based heritability. We used data on two traits in ~120,000 people from the UK Biobank to demonstrate that, depending on the trait and possible confounding environmental effects, GREML-IBD can be applied to very large genetic datasets to infer the contribution of very rare variants lost using other methods. However, we observed apparent biases in these real data, suggesting that more work may be required to understand and mitigate factors that influence IBD-based heritability estimates.

Published
2018

2. The UK10K project identifies rare variants in health and disease

Author

UK10K Consortium, Walter, Klaudia, Min, Josine L, Huang, Jie, Crooks, Lucy, Memari, Yasin, McCarthy, Shane, Perry, John RB, Xu, ChangJiang, Futema, Marta, Lawson, Daniel, Iotchkova, Valentina, Schiffels, Stephan, Hendricks, Audrey E, Danecek, Petr, Li, Rui, Floyd, James, Wain, Louise V, Barroso, Inês, Humphries, Steve E, Hurles, Matthew E, Zeggini, Eleftheria, Barrett, Jeffrey C, Plagnol, Vincent, Richards, J Brent, Greenwood, Celia MT, Timpson, Nicholas J, Durbin, Richard, Soranzo, Nicole, McCarthy, Shane [0000-0002-2715-4187], Durbin, Richard [0000-0002-9130-1006], and Apollo - University of Cambridge Repository

Subjects
Male, Genome, Human, Genetics, Medical, Genetic Variation, Molecular Sequence Annotation, Genomics, Sequence Analysis, DNA, Reference Standards, Lipid Metabolism, United Kingdom, Cohort Studies, Genetics, Population, Receptors, LDL, Health, Humans, Disease, Exome, Female, Genetic Predisposition to Disease, Adiponectin, Alleles, Triglycerides, Genome-Wide Association Study
Abstract

The contribution of rare and low-frequency variants to human traits is largely unexplored. Here we describe insights from sequencing whole genomes (low read depth, 7×) or exomes (high read depth, 80×) of nearly 10,000 individuals from population-based and disease collections. In extensively phenotyped cohorts we characterize over 24 million novel sequence variants, generate a highly accurate imputation reference panel and identify novel alleles associated with levels of triglycerides (APOB), adiponectin (ADIPOQ) and low-density lipoprotein cholesterol (LDLR and RGAG1) from single-marker and rare variant aggregation tests. We describe population structure and functional annotation of rare and low-frequency variants, use the data to estimate the benefits of sequencing for association studies, and summarize lessons from disease-specific collections. Finally, we make available an extensive resource, including individual-level genetic and phenotypic data and web-based tools to facilitate the exploration of association results.

Published
2018
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3. The UK10K project identifies rare variants in health and disease

Author

Walter, Klaudia, Min, Josine L., Huang, Jie, Crooks, Lucy, Memari, Yasin, McCarthy, Shane, Perry, John R. B., Xu, ChangJiang, Futema, Marta, Lawson, Daniel, Iotchkova, Valentina, Schiffels, Stephan, Hendricks, Audrey E., Danecek, Petr, Li, Rui, Floyd, James, Wain, Louise V., Barroso, Inês, Humphries, Steve E., Hurles, Matthew E., Zeggini, Eleftheria, Barrett, Jeffrey C., Plagnol, Vincent, Brent Richards, J., Greenwood, Celia M. T., Timpson, Nicholas J., Durbin, Richard, Soranzo, Nicole, Bala, Senduran, Clapham, Peter, Coates, Guy, Cox, Tony, Daly, Allan, Du, Yuanping, Edkins, Sarah, Ellis, Peter, Flicek, Paul, Guo, Xiaosen, Guo, Xueqin, Huang, Liren, Jackson, David K., Joyce, Chris, Keane, Thomas, Kolb-Kokocinski, Anja, Langford, Cordelia, Li, Yingrui, Liang, Jieqin, Lin, Hong, Liu, Ryan, Maslen, John, Muddyman, Dawn, Quail, Michael A., Stalker, Jim, Sun, Jianping, Tian, Jing, Wang, Guangbiao, Wang, Jun, Wang, Yu, Wong, Kim, Zhang, Pingbo, Birney, Ewan, Boustred, Chris, Chen, Lu, Clement, Gail, Cocca, Massimiliano, Davey Smith, George, Day, Ian N. M., Day-Williams, Aaron, Down, Thomas, Dunham, Ian, Evans, David M., Gaunt, Tom R., Geihs, Matthias, Hart, Deborah, Howie, Bryan, Hubbard, Tim, Hysi, Pirro, Jamshidi, Yalda, Karczewski, Konrad J., Kemp, John P., Lachance, Genevieve, Lek, Monkol, Lopes, Margarida, MacArthur, Daniel G., Marchini, Jonathan, Mangino, Massimo, Mathieson, Iain, Metrustry, Sarah, Moayyeri, Alireza, Northstone, Kate, Panoutsopoulou, Kalliope, Paternoster, Lavinia, Quaye, Lydia, Ring, Susan, Ritchie, Graham R. S., Shihab, Hashem A., Shin, So-Youn, Small, Kerrin S., Soler Artigas, María, Southam, Lorraine, Spector, Timothy D., St Pourcain, Beate, Surdulescu, Gabriela, Tachmazidou, Ioanna, Tobin, Martin D., Valdes, Ana M., Visscher, Peter M., Ward, Kirsten, Wilson, Scott G., Yang, Jian, Zhang, Feng, Zheng, Hou-Feng, Anney, Richard, Ayub, Muhammad, Blackwood, Douglas, Bolton, Patrick F., Breen, Gerome, Collier, David A., Craddock, Nick, Curran, Sarah, Curtis, David, Gallagher, Louise, Geschwind, Daniel, Gurling, Hugh, Holmans, Peter, Lee, Irene, Lönnqvist, Jouko, McGuffin, Peter, McIntosh, Andrew M., McKechanie, Andrew G., McQuillin, Andrew, Morris, James, O'Donovan, Michael C., Owen, Michael J., Palotie, Aarno, Parr, Jeremy R., Paunio, Tiina, Pietilainen, Olli, Rehnström, Karola, Sharp, Sally I., Skuse, David, St Clair, David, Suvisaari, Jaana, Walters, James T. R., Williams, Hywel J., Bochukova, Elena, Bounds, Rebecca, Dominiczak, Anna, Farooqi, I. Sadaf, Keogh, Julia, Marenne, Gaëlle, Morris, Andrew, O'Rahilly, Stephen, Porteous, David J., Smith, Blair H., Wheeler, Eleanor, Al Turki, Saeed, Anderson, Carl A., Antony, Dinu, Beales, Phil, Bentham, Jamie, Bhattacharya, Shoumo, Calissano, Mattia, Carss, Keren, Chatterjee, Krishna, Cirak, Sebahattin, Cosgrove, Catherine, Fitzpatrick, David R., Reghan Foley, A., Franklin, Christopher S., Grozeva, Detelina, Mitchison, Hannah M., Muntoni, Francesco, Onoufriadis, Alexandros, Parker, Victoria, Payne, Felicity, Lucy Raymond, F., Roberts, Nicola, Savage, David B., Scambler, Peter, Schmidts, Miriam, Schoenmakers, Nadia, Semple, Robert K., Serra, Eva, Spasic-Boskovic, Olivera, Stevens, Elizabeth, van Kogelenberg, Margriet, Vijayarangakannan, Parthiban, Williamson, Kathleen A., Wilson, Crispian, Whyte, Tamieka, Ciampi, Antonio, Oualkacha, Karim, Bobrow, Martin, Griffin, Heather, Kaye, Jane, Kennedy, Karen, Kent, Alastair, Smee, Carol, Charlton, Ruth, Ekong, Rosemary, Khawaja, Farrah, Lopes, Luis R., Migone, Nicola, Payne, Stewart J., Pollitt, Rebecca C., Povey, Sue, Ridout, Cheryl K., Robinson, Rachel L., Scott, Richard H., Shaw, Adam, Syrris, Petros, Taylor, Rohan, Vandersteen, Anthony M., Amuzu, Antoinette, Pablo Casas, Juan, Chambers, John C., Dedoussis, George, Gambaro, Giovanni, Gasparini, Paolo, Isaacs, Aaron, Johnson, Jon, Kleber, Marcus E., Kooner, Jaspal S., Langenberg, Claudia, Luan, Jian'an, Malerba, Giovanni, März, Winfried, Matchan, Angela, Morris, Richard, Nordestgaard, Børge G., Benn, Marianne, Scott, Robert A., Toniolo, Daniela, Traglia, Michela, Tybjaerg-Hansen, Anne, van Duijn, Cornelia M., van Leeuwen, Elisabeth M., Varbo, Anette, Whincup, Peter, Zaza, Gianluigi, Zhang, Weihua, Civil Law, Epidemiology, Clinicum, Department of Psychiatry, Institute for Molecular Medicine Finland, Aarno Palotie / Principal Investigator, Genomics of Neurological and Neuropsychiatric Disorders, Broad Institute of MIT and Harvard, Palotie, Aarno, Walter, Klaudia, Min, Josine L., Huang, Jie, Crooks, Lucy, Memari, Yasin, Mccarthy, Shane, Perry, John R. B., Xu, Changjiang, Futema, Marta, Lawson, Daniel, Iotchkova, Valentina, Schiffels, Stephan, Hendricks, Audrey E., Danecek, Petr, Li, Rui, Floyd, Jame, Wain, Louise V., Barroso, Inê, Humphries, Steve E., Hurles, Matthew E., Zeggini, Eleftheria, Barrett, Jeffrey C., Plagnol, Vincent, Brent Richards, J., Greenwood, Celia M. T., Timpson, Nicholas J., Durbin, Richard, Soranzo, Nicole, Bala, Senduran, Clapham, Peter, Coates, Guy, Cox, Tony, Daly, Allan, Du, Yuanping, Edkins, Sarah, Ellis, Peter, Flicek, Paul, Guo, Xiaosen, Guo, Xueqin, Huang, Liren, Jackson, David K., Joyce, Chri, Keane, Thoma, Kolb Kokocinski, Anja, Langford, Cordelia, Li, Yingrui, Liang, Jieqin, Lin, Hong, Liu, Ryan, Maslen, John, Muddyman, Dawn, Quail, Michael A., Stalker, Jim, Sun, Jianping, Tian, Jing, Wang, Guangbiao, Wang, Jun, Wang, Yu, Wong, Kim, Zhang, Pingbo, Birney, Ewan, Boustred, Chri, Chen, Lu, Clement, Gail, Cocca, Massimiliano, Davey Smith, George, Day, Ian N. M., Day Williams, Aaron, Down, Thoma, Dunham, Ian, Evans, David M., Gaunt, Tom R., Geihs, Matthia, Hart, Deborah, Howie, Bryan, Hubbard, Tim, Hysi, Pirro, Jamshidi, Yalda, Karczewski, Konrad J., Kemp, John P., Lachance, Genevieve, Lek, Monkol, Lopes, Margarida, Macarthur, Daniel G., Marchini, Jonathan, Mangino, Massimo, Mathieson, Iain, Metrustry, Sarah, Moayyeri, Alireza, Northstone, Kate, Panoutsopoulou, Kalliope, Paternoster, Lavinia, Quaye, Lydia, Ring, Susan, Ritchie, Graham R. S., Shihab, Hashem A., Shin, So Youn, Small, Kerrin S., Soler Artigas, María, Southam, Lorraine, Spector, Timothy D., St Pourcain, Beate, Surdulescu, Gabriela, Tachmazidou, Ioanna, Tobin, Martin D., Valdes, Ana M., Visscher, Peter M., Ward, Kirsten, Wilson, Scott G., Yang, Jian, Zhang, Feng, Zheng, Hou Feng, Anney, Richard, Ayub, Muhammad, Blackwood, Dougla, Bolton, Patrick F., Breen, Gerome, Collier, David A., Craddock, Nick, Curran, Sarah, Curtis, David, Gallagher, Louise, Geschwind, Daniel, Gurling, Hugh, Holmans, Peter, Lee, Irene, Lönnqvist, Jouko, Mcguffin, Peter, Mcintosh, Andrew M., Mckechanie, Andrew G., Mcquillin, Andrew, Morris, Jame, O'Donovan, Michael C., Owen, Michael J., Parr, Jeremy R., Paunio, Tiina, Pietilainen, Olli, Rehnström, Karola, Sharp, Sally I., Skuse, David, St Clair, David, Suvisaari, Jaana, Walters, James T. R., Williams, Hywel J., Bochukova, Elena, Bounds, Rebecca, Dominiczak, Anna, Farooqi, I. Sadaf, Keogh, Julia, Marenne, Gaëlle, Morris, Andrew, O'Rahilly, Stephen, Porteous, David J., Smith, Blair H., Wheeler, Eleanor, Al Turki, Saeed, Anderson, Carl A., Antony, Dinu, Beales, Phil, Bentham, Jamie, Bhattacharya, Shoumo, Calissano, Mattia, Carss, Keren, Chatterjee, Krishna, Cirak, Sebahattin, Cosgrove, Catherine, Fitzpatrick, David R., Reghan Foley, A., Franklin, Christopher S., Grozeva, Detelina, Mitchison, Hannah M., Muntoni, Francesco, Onoufriadis, Alexandro, Parker, Victoria, Payne, Felicity, Lucy Raymond, F., Roberts, Nicola, Savage, David B., Scambler, Peter, Schmidts, Miriam, Schoenmakers, Nadia, Semple, Robert K., Serra, Eva, Spasic Boskovic, Olivera, Stevens, Elizabeth, van Kogelenberg, Margriet, Vijayarangakannan, Parthiban, Williamson, Kathleen A., Wilson, Crispian, Whyte, Tamieka, Ciampi, Antonio, Oualkacha, Karim, Bobrow, Martin, Griffin, Heather, Kaye, Jane, Kennedy, Karen, Kent, Alastair, Smee, Carol, Charlton, Ruth, Ekong, Rosemary, Khawaja, Farrah, Lopes, Luis R., Migone, Nicola, Payne, Stewart J., Pollitt, Rebecca C., Povey, Sue, Ridout, Cheryl K., Robinson, Rachel L., Scott, Richard H., Shaw, Adam, Syrris, Petro, Taylor, Rohan, Vandersteen, Anthony M., Amuzu, Antoinette, Pablo Casas, Juan, Chambers, John C., Dedoussis, George, Gambaro, Giovanni, Gasparini, Paolo, Isaacs, Aaron, Johnson, Jon, Kleber, Marcus E., Kooner, Jaspal S., Langenberg, Claudia, Luan, Jian'An, Malerba, Giovanni, März, Winfried, Matchan, Angela, Morris, Richard, Nordestgaard, Børge G., Benn, Marianne, Scott, Robert A., Toniolo, Daniela, Traglia, Michela, Tybjaerg Hansen, Anne, van Duijn, Cornelia M., van Leeuwen, Elisabeth M., Varbo, Anette, Whincup, Peter, Zaza, Gianluigi, and Zhang, Weihua

Subjects
APOC3, Male, Genome-wide association study, genetics,UK10K,Whole-genome sequencing, Genome-wide association studies, Next-generation sequencing, Genome-wide association studies, rare and low-frequency variants, Cohort Studies, OF-FUNCTION MUTATIONS, genetics, Disease, Exome, Exome sequencing, POPULATION, Genetics, education.field_of_study, Multidisciplinary, HERITABILITY, Great Britain, Genomics, Reference Standards, Multidisciplinary Sciences, Health, Science & Technology - Other Topics, INCIDENTAL FINDINGS, LOW-FREQUENCY, Female, Adiponectin, General Science & Technology, Genetics, Medical, Population, Computational biology, Biology, Article, MD Multidisciplinary, SEQUENCE VARIATION, UK10K Consortium, Humans, Genetic Predisposition to Disease, GENOME-WIDE ASSOCIATION, education, COMMON, Alleles, Triglycerides, Genetic association, Whole genome sequencing, Whole-genome sequencing, Science & Technology, Genome, Human, COMPLEX TRAITS, Genetic Variation, Molecular Sequence Annotation, Sequence Analysis, DNA, Lipid Metabolism, United Kingdom, 3141 Health care science, Genetics, Population, UK10K, Receptors, LDL, Next-generation sequencing, rare and low-frequency variants, Imputation (genetics), Genome-Wide Association Study
Abstract

M. Kivimäki työryhmäjäsen. The contribution of rare and low-frequency variants to human traits is largely unexplored. Here we describe insights from sequencing whole genomes (low read depth, 7x) or exomes (high read depth, 80x) of nearly 10,000 individuals from population-based and disease collections. In extensively phenotyped cohorts we characterize over 24 million novel sequence variants, generate a highly accurate imputation reference panel and identify novel alleles associated with levels of triglycerides (APOB), adiponectin (ADIPOQ) and low-density lipoprotein cholesterol (LDLR and RGAG1) from single-marker and rare variant aggregation tests. We describe population structure and functional annotation of rare and low-frequency variants, use the data to estimate the benefits of sequencing for association studies, and summarize lessons from disease-specific collections. Finally, we make available an extensive resource, including individual-level genetic and phenotypic data and web-based tools to facilitate the exploration of association results.

Published
2015

4. Whole-genome sequencing identifies EN1 as a determinant of bone density and fracture

Author

Zheng, Hou-Feng, Forgetta, Vincenzo, Hsu, Yi-Hsiang, Estrada, Karol, Rosello-Diez, Alberto, Leo, Paul J, Dahia, Chitra L, Park-Min, Kyung Hyun, Tobias, Jonathan H, Kooperberg, Charles, Kleinman, Aaron, Styrkarsdottir, Unnur, Liu, Ching-Ti, Uggla, Charlotta, Evans, Daniel S, Nielson, Carrie M, Walter, Klaudia, Pettersson-Kymmer, Ulrika, McCarthy, Shane, Eriksson, Joel, Kwan, Tony, Jhamai, Mila, Trajanoska, Katerina, Memari, Yasin, Min, Josine, Huang, Jie, Danecek, Petr, Wilmot, Beth, Li, Rui, Chou, Wen-Chi, Mokry, Lauren E, Moayyeri, Alireza, Claussnitzer, Melina, Cheng, Chia-Ho, Cheung, Warren, Medina-Gómez, Carolina, Ge, Bing, Chen, Shu-Huang, Choi, Kwangbom, Oei, Ling, Fraser, James, Kraaij, Robert, Hibbs, Matthew A, Gregson, Celia L, Paquette, Denis, Hofman, Albert, Wibom, Carl, Tranah, Gregory J, Marshall, Mhairi, Gardiner, Brooke B, Cremin, Katie, Auer, Paul, Hsu, Li, Ring, Sue, Tung, Joyce Y, Thorleifsson, Gudmar, Enneman, Anke W, van Schoor, Natasja M, de Groot, Lisette CPGM, van der Velde, Nathalie, Melin, Beatrice, Kemp, John P, Christiansen, Claus, Sayers, Adrian, Zhou, Yanhua, Calderari, Sophie, van Rooij, Jeroen, Carlson, Chris, Peters, Ulrike, Berlivet, Soizik, Dostie, Josée, Uitterlinden, Andre G, Williams, Stephen R, Farber, Charles, Grinberg, Daniel, LaCroix, Andrea Z, Haessler, Jeff, Chasman, Daniel I, Giulianini, Franco, Rose, Lynda M, Ridker, Paul M, Eisman, John A, Nguyen, Tuan V, Center, Jacqueline R, Nogues, Xavier, Garcia-Giralt, Natalia, Launer, Lenore L, Gudnason, Vilmunder, Mellström, Dan, Vandenput, Liesbeth, Amin, Najaf, van Duijn, Cornelia M, Karlsson, Magnus K, Ljunggren, Östen, Svensson, Olle, Hallmans, Göran, Rousseau, François, Giroux, Sylvie, Bussière, Johanne, Arp, Pascal P, Koromani, Fjorda, Prince, Richard L, Lewis, Joshua R, Langdahl, Bente L, Hermann, A Pernille, Jensen, Jens-Erik B, Kaptoge, Stephen, Khaw, Kay-Tee, Reeve, Jonathan, Formosa, Melissa M, Xuereb-Anastasi, Angela, Åkesson, Kristina, McGuigan, Fiona E, Garg, Gaurav, Olmos, Jose M, Zarrabeitia, Maria T, Riancho, Jose A, Ralston, Stuart H, Alonso, Nerea, Jiang, Xi, Goltzman, David, Pastinen, Tomi, Grundberg, Elin, Gauguier, Dominique, Orwoll, Eric S, Karasik, David, Davey-Smith, George, AOGC Consortium, Smith, Albert V, Siggeirsdottir, Kristin, Harris, Tamara B, Zillikens, M Carola, van Meurs, Joyce BJ, Thorsteinsdottir, Unnur, Maurano, Matthew T, Timpson, Nicholas J, Soranzo, Nicole, Durbin, Richard, Wilson, Scott G, Ntzani, Evangelia E, Brown, Matthew A, Stefansson, Kari, Hinds, David A, Spector, Tim, Cupples, L Adrienne, Ohlsson, Claes, Greenwood, Celia MT, UK10K Consortium, Jackson, Rebecca D, Rowe, David W, Loomis, Cynthia A, Evans, David M, Ackert-Bicknell, Cheryl L, Joyner, Alexandra L, Duncan, Emma L, Kiel, Douglas P, Rivadeneira, Fernando, and Richards, J Brent

Subjects
Homeodomain Proteins, Genotype, Genome, Human, General Science & Technology, European Continental Ancestry Group, Genetic Variation, Sequence Analysis, DNA, Genomics, Bone and Bones, Europe, Wnt Proteins, Mice, Disease Models, Animal, Fractures, Bone, AOGC Consortium, Gene Frequency, Bone Density, MD Multidisciplinary, UK10K Consortium, Animals, Humans, Genetic Predisposition to Disease, Female, Exome
Abstract

The extent to which low-frequency (minor allele frequency (MAF) between 1-5%) and rare (MAF ≤ 1%) variants contribute to complex traits and disease in the general population is mainly unknown. Bone mineral density (BMD) is highly heritable, a major predictor of osteoporotic fractures, and has been previously associated with common genetic variants, as well as rare, population-specific, coding variants. Here we identify novel non-coding genetic variants with large effects on BMD (ntotal = 53,236) and fracture (ntotal = 508,253) in individuals of European ancestry from the general population. Associations for BMD were derived from whole-genome sequencing (n = 2,882 from UK10K (ref. 10); a population-based genome sequencing consortium), whole-exome sequencing (n = 3,549), deep imputation of genotyped samples using a combined UK10K/1000 Genomes reference panel (n = 26,534), and de novo replication genotyping (n = 20,271). We identified a low-frequency non-coding variant near a novel locus, EN1, with an effect size fourfold larger than the mean of previously reported common variants for lumbar spine BMD (rs11692564(T), MAF = 1.6%, replication effect size = +0.20 s.d., Pmeta = 2 × 10(-14)), which was also associated with a decreased risk of fracture (odds ratio = 0.85; P = 2 × 10(-11); ncases = 98,742 and ncontrols = 409,511). Using an En1(cre/flox) mouse model, we observed that conditional loss of En1 results in low bone mass, probably as a consequence of high bone turnover. We also identified a novel low-frequency non-coding variant with large effects on BMD near WNT16 (rs148771817(T), MAF = 1.2%, replication effect size = +0.41 s.d., Pmeta = 1 × 10(-11)). In general, there was an excess of association signals arising from deleterious coding and conserved non-coding variants. These findings provide evidence that low-frequency non-coding variants have large effects on BMD and fracture, thereby providing rationale for whole-genome sequencing and improved imputation reference panels to study the genetic architecture of complex traits and disease in the general population.

Published
2015

5. Whole-genome sequencing identifies EN1 as a determinant of bone density and fracture

Author

Zheng, Hou-Feng, Forgetta, Vincenzo, Hsu, Yi-Hsiang, Estrada, Karol, Rosello-Diez, Alberto, Leo, Paul J, Dahia, Chitra L, Park-Min, Kyung Hyun, Tobias, Jonathan H, Kooperberg, Charles, Kleinman, Aaron, Styrkarsdottir, Unnur, Liu, Ching-Ti, Uggla, Charlotta, Evans, Daniel S, Nielson, Carrie M, Walter, Klaudia, Pettersson-Kymmer, Ulrika, McCarthy, Shane, Eriksson, Joel, Kwan, Tony, Jhamai, Mila, Trajanoska, Katerina, Memari, Yasin, Min, Josine, Huang, Jie, Danecek, Petr, Wilmot, Beth, Li, Rui, Chou, Wen-Chi, Mokry, Lauren E, Moayyeri, Alireza, Claussnitzer, Melina, Cheng, Chia-Ho, Cheung, Warren, Medina-Gómez, Carolina, Ge, Bing, Chen, Shu-Huang, Choi, Kwangbom, Oei, Ling, Fraser, James, Kraaij, Robert, Hibbs, Matthew A, Gregson, Celia L, Paquette, Denis, Hofman, Albert, Wibom, Carl, Tranah, Gregory J, Marshall, Mhairi, Gardiner, Brooke B, Cremin, Katie, Auer, Paul, Hsu, Li, Ring, Sue, Tung, Joyce Y, Thorleifsson, Gudmar, Enneman, Anke W, Van Schoor, Natasja M, De Groot, Lisette CPGM, Van Der Velde, Nathalie, Melin, Beatrice, Kemp, John P, Christiansen, Claus, Sayers, Adrian, Zhou, Yanhua, Calderari, Sophie, Van Rooij, Jeroen, Carlson, Chris, Peters, Ulrike, Berlivet, Soizik, Dostie, Josée, Uitterlinden, Andre G, Williams, Stephen R, Farber, Charles, Grinberg, Daniel, LaCroix, Andrea Z, Haessler, Jeff, Chasman, Daniel I, Giulianini, Franco, Rose, Lynda M, Ridker, Paul M, Eisman, John A, Nguyen, Tuan V, Center, Jacqueline R, Nogues, Xavier, Garcia-Giralt, Natalia, Launer, Lenore L, Gudnason, Vilmunder, Mellström, Dan, Vandenput, Liesbeth, Amin, Najaf, Van Duijn, Cornelia M, Karlsson, Magnus K, Ljunggren, Östen, Svensson, Olle, Hallmans, Göran, Rousseau, François, Giroux, Sylvie, Bussière, Johanne, Arp, Pascal P, Koromani, Fjorda, Prince, Richard L, Lewis, Joshua R, Langdahl, Bente L, Hermann, A Pernille, Jensen, Jens-Erik B, Kaptoge, Stephen, Khaw, Kay-Tee, Reeve, Jonathan, Formosa, Melissa M, Xuereb-Anastasi, Angela, Åkesson, Kristina, McGuigan, Fiona E, Garg, Gaurav, Olmos, Jose M, Zarrabeitia, Maria T, Riancho, Jose A, Ralston, Stuart H, Alonso, Nerea, Jiang, Xi, Goltzman, David, Pastinen, Tomi, Grundberg, Elin, Gauguier, Dominique, Orwoll, Eric S, Karasik, David, Davey-Smith, George, AOGC Consortium, Smith, Albert V, Siggeirsdottir, Kristin, Harris, Tamara B, Zillikens, M Carola, Van Meurs, Joyce BJ, Thorsteinsdottir, Unnur, Maurano, Matthew T, Timpson, Nicholas J, Soranzo, Nicole, Durbin, Richard, Wilson, Scott G, Ntzani, Evangelia E, Brown, Matthew A, Stefansson, Kari, Hinds, David A, Spector, Tim, Cupples, L Adrienne, Ohlsson, Claes, Greenwood, Celia MT, UK10K Consortium, Jackson, Rebecca D, Rowe, David W, Loomis, Cynthia A, Evans, David M, Ackert-Bicknell, Cheryl L, Joyner, Alexandra L, Duncan, Emma L, Kiel, Douglas P, Rivadeneira, Fernando, Richards, J Brent, Rosello-Diez, Alberto [0000-0002-5550-9846], Kaptoge, Stephen [0000-0002-1155-4872], Khaw, Kay-Tee [0000-0002-8802-2903], Soranzo, Nicole [0000-0003-1095-3852], and Apollo - University of Cambridge Repository

Subjects
Homeodomain Proteins, Genotype, Genome, Human, Genetic Variation, Genomics, Sequence Analysis, DNA, Bone and Bones, White People, Europe, Wnt Proteins, Disease Models, Animal, Fractures, Bone, Mice, Gene Frequency, Bone Density, Animals, Humans, Exome, Female, Genetic Predisposition to Disease
Abstract

The extent to which low-frequency (minor allele frequency (MAF) between 1-5%) and rare (MAF ≤ 1%) variants contribute to complex traits and disease in the general population is mainly unknown. Bone mineral density (BMD) is highly heritable, a major predictor of osteoporotic fractures, and has been previously associated with common genetic variants, as well as rare, population-specific, coding variants. Here we identify novel non-coding genetic variants with large effects on BMD (ntotal = 53,236) and fracture (ntotal = 508,253) in individuals of European ancestry from the general population. Associations for BMD were derived from whole-genome sequencing (n = 2,882 from UK10K (ref. 10); a population-based genome sequencing consortium), whole-exome sequencing (n = 3,549), deep imputation of genotyped samples using a combined UK10K/1000 Genomes reference panel (n = 26,534), and de novo replication genotyping (n = 20,271). We identified a low-frequency non-coding variant near a novel locus, EN1, with an effect size fourfold larger than the mean of previously reported common variants for lumbar spine BMD (rs11692564(T), MAF = 1.6%, replication effect size = +0.20 s.d., Pmeta = 2 × 10(-14)), which was also associated with a decreased risk of fracture (odds ratio = 0.85; P = 2 × 10(-11); ncases = 98,742 and ncontrols = 409,511). Using an En1(cre/flox) mouse model, we observed that conditional loss of En1 results in low bone mass, probably as a consequence of high bone turnover. We also identified a novel low-frequency non-coding variant with large effects on BMD near WNT16 (rs148771817(T), MAF = 1.2%, replication effect size = +0.41 s.d., Pmeta = 1 × 10(-11)). In general, there was an excess of association signals arising from deleterious coding and conserved non-coding variants. These findings provide evidence that low-frequency non-coding variants have large effects on BMD and fracture, thereby providing rationale for whole-genome sequencing and improved imputation reference panels to study the genetic architecture of complex traits and disease in the general population.

Published
2015

6. Whole-genome sequencing identifies EN1 as a determinant of bone density and fracture

Author

Zheng, Hou-Feng, Forgetta, Vincenzo, Hsu, Yi-Hsiang, Estrada, Karol, Rosello-Diez, Alberto, Leo, Paul J, Dahia, Chitra L, Park-Min, Kyung Hyun, Tobias, Jonathan H, Kooperberg, Charles, Kleinman, Aaron, Styrkarsdottir, Unnur, Liu, Ching-Ti, Uggla, Charlotta, Evans, Daniel S, Nielson, Carrie M, Walter, Klaudia, Pettersson-Kymmer, Ulrika, McCarthy, Shane, Eriksson, Joel, Kwan, Tony, Jhamai, Mila, Trajanoska, Katerina, Memari, Yasin, Min, Josine, Huang, Jie, Danecek, Petr, Wilmot, Beth, Li, Rui, Chou, Wen-Chi, Mokry, Lauren E, Moayyeri, Alireza, Claussnitzer, Melina, Cheng, Chia-Ho, Cheung, Warren, Medina-Gómez, Carolina, Ge, Bing, Chen, Shu-Huang, Choi, Kwangbom, Oei, Ling, Fraser, James, Kraaij, Robert, Hibbs, Matthew A, Gregson, Celia L, Paquette, Denis, Hofman, Albert, Wibom, Carl, Tranah, Gregory J, Marshall, Mhairi, Gardiner, Brooke B, Cremin, Katie, Auer, Paul, Hsu, Li, Ring, Sue, Tung, Joyce Y, Thorleifsson, Gudmar, Enneman, Anke W, van Schoor, Natasja M, de Groot, Lisette CPGM, van der Velde, Nathalie, Melin, Beatrice, Kemp, John P, Christiansen, Claus, Sayers, Adrian, Zhou, Yanhua, Calderari, Sophie, van Rooij, Jeroen, Carlson, Chris, Peters, Ulrike, Berlivet, Soizik, Dostie, Josée, Uitterlinden, Andre G, Williams, Stephen R, Farber, Charles, Grinberg, Daniel, LaCroix, Andrea Z, Haessler, Jeff, Chasman, Daniel I, Giulianini, Franco, Rose, Lynda M, Ridker, Paul M, Eisman, John A, Nguyen, Tuan V, Center, Jacqueline R, Nogues, Xavier, Garcia-Giralt, Natalia, Launer, Lenore L, Gudnason, Vilmunder, Mellström, Dan, Vandenput, Liesbeth, Amin, Najaf, van Duijn, Cornelia M, Karlsson, Magnus K, Ljunggren, Östen, Svensson, Olle, Hallmans, Göran, Rousseau, François, Giroux, Sylvie, and Bussière, Johanne

Subjects
Genotype, General Science & Technology, 1.1 Normal biological development and functioning, European Continental Ancestry Group, Bone and Bones, White People, Fractures, Bone, Mice, AOGC Consortium, Gene Frequency, Bone Density, Underpinning research, MD Multidisciplinary, Genetics, UK10K Consortium, Animals, Humans, 2.1 Biological and endogenous factors, Genetic Predisposition to Disease, Exome, Aetiology, Bone, Homeodomain Proteins, Genome, Genome, Human, Animal, Human Genome, Genetic Variation, Sequence Analysis, DNA, DNA, Genomics, Injuries and accidents, Stem Cell Research, Europe, Wnt Proteins, Disease Models, Animal, Musculoskeletal, Disease Models, Osteoporosis, Female, Sequence Analysis, Fractures, Human, Biotechnology
Abstract

© 2015 Macmillan Publishers Limited. All rights reserved. The extent to which low-frequency (minor allele frequency (MAF) between 1-5%) and rare (MAF ≤ 1%) variants contribute to complex traits and disease in the general population is mainly unknown. Bone mineral density (BMD) is highly heritable, a major predictor of osteoporotic fractures, and has been previously associated with common genetic variants, as well as rare, population-specific, coding variants. Here we identify novel non-coding genetic variants with large effects on BMD (ntotal = 53,236) and fracture (ntotal = 508,253) in individuals of European ancestry from the general population. Associations for BMD were derived from whole-genome sequencing (n = 2,882 from UK10K (ref. 10); a population-based genome sequencing consortium), whole-exome sequencing (n = 3,549), deep imputation of genotyped samples using a combined UK10K/1000 Genomes reference panel (n = 26,534), and de novo replication genotyping (n = 20,271). We identified a low-frequency non-coding variant near a novel locus, EN1, with an effect size fourfold larger than the mean of previously reported common variants for lumbar spine BMD (rs11692564(T), MAF = 1.6%, replication effect size = +0.20 s.d., Pmeta = 2 × 10-14), which was also associated with a decreased risk of fracture (odds ratio = 0.85; P = 2 × 10-11; ncases = 98,742 and n controls = 409,511). Using an En1 cre/flox mouse model, we observed that conditional loss of En1 results in low bone mass, probably as a consequence of high bone turnover. We also identified a novel low-frequency non-coding variant with large effects on BMD near WNT16 (rs148771817(T), MAF = 1.2%, replication effect size = +0.41 s.d., Pmeta = 1 × 10-11). In general, there was an excess of association signals arising from deleterious coding and conserved non-coding variants. These findings provide evidence that low-frequency non-coding variants have large effects on BMD and fracture, thereby providing rationale for whole-genome sequencing and improved imputation reference panels to study the genetic architecture of complex traits and disease in the general population.

Published
2015

7. Improved imputation of low-frequency and rare variants using the UK10K haplotype reference panel

Author

Huang, Jie, Howie, Bryan, McCarthy, Shane, Memari, Yasin, Walter, Klaudia, Min, Josine L, Danecek, Petr, Malerba, Giovanni, Trabetti, Elisabetta, Zheng, Hou-Feng, UK10K Consortium, Gambaro, Giovanni, Richards, J Brent, Durbin, Richard, Timpson, Nicholas J, Marchini, Jonathan, Soranzo, Nicole, Durbin, Richard [0000-0002-9130-1006], Marchini, Jonathan [0000-0003-0610-8322], Soranzo, Nicole [0000-0003-1095-3852], and Apollo - University of Cambridge Repository

Subjects
Adult, Aged, 80 and over, Models, Statistical, Adolescent, Genotype, Models, Genetic, Genome, Human, Genetic Variation, Middle Aged, Polymorphism, Single Nucleotide, United Kingdom, White People, Young Adult, Gene Frequency, Haplotypes, Italy, Humans, Alleles, Aged
Abstract

Imputing genotypes from reference panels created by whole-genome sequencing (WGS) provides a cost-effective strategy for augmenting the single-nucleotide polymorphism (SNP) content of genome-wide arrays. The UK10K Cohorts project has generated a data set of 3,781 whole genomes sequenced at low depth (average 7x), aiming to exhaustively characterize genetic variation down to 0.1% minor allele frequency in the British population. Here we demonstrate the value of this resource for improving imputation accuracy at rare and low-frequency variants in both a UK and an Italian population. We show that large increases in imputation accuracy can be achieved by re-phasing WGS reference panels after initial genotype calling. We also present a method for combining WGS panels to improve variant coverage and downstream imputation accuracy, which we illustrate by integrating 7,562 WGS haplotypes from the UK10K project with 2,184 haplotypes from the 1000 Genomes Project. Finally, we introduce a novel approximation that maintains speed without sacrificing imputation accuracy for rare variants.

Published
2015

8. A map of human genome variation from population-scale sequencing

Author

Durbin, Richard M., Altshuler, David L., Abecasis, Gonçalo R., Bentley, David R., Chakravarti, Aravinda, Clark, Andrew G., Collins, Francis S., De La Vega, Francisco M., Donnelly, Peter, Egholm, Michael, Flicek, Paul, Gabriel, Stacey B., Gibbs, Richard A., Knoppers, Bartha M., Lander, Eric S., Lehrach, Hans, Mardis, Elaine R., McVean, Gil A., Nickerson, Debbie A., Peltonen, Leena, Schafer, Alan J., Sherry, Stephen T., Wang, Jun, Wilson, Richard K., Deiros, David, Metzker, Mike, Muzny, Donna, Reid, Jeff, Wheeler, David, Li, Jingxiang, Jian, Min, Li, Guoqing, Li, Ruiqiang, Liang, Huiqing, Tian, Geng, Wang, Bo, Wang, Jian, Wang, Wei, Yang, Huanming, Zhang, Xiuqing, Zheng, Huisong, Ambrogio, Lauren, Bloom, Toby, Cibulskis, Kristian, Fennell, Tim J., Jaffe, David B., Shefler, Erica, Sougnez, Carrie L., Gormley, Niall, Humphray, Sean, Kingsbury, Zoya, Koko-Gonzales, Paula, Stone, Jennifer, McKernan, Kevin J., Costa, Gina L., Ichikawa, Jeffry K., Lee, Clarence C., Sudbrak, Ralf, Borodina, Tatiana A., Dahl, Andreas, Davydov, Alexey N., Marquardt, Peter, Mertes, Florian, Nietfeld, Wilfiried, Rosenstiel, Philip, Schreiber, Stefan, Soldatov, Aleksey V., Timmermann, Bernd, Tolzmann, Marius, Affourtit, Jason, Ashworth, Dana, Attiya, Said, Bachorski, Melissa, Buglione, Eli, Burke, Adam, Caprio, Amanda, Celone, Christopher, Clark, Shauna, Conners, David, Desany, Brian, Gu, Lisa, Guccione, Lorri, Kao, Kalvin, Kebbel, Andrew, Knowlton, Jennifer, Labrecque, Matthew, McDade, Louise, Mealmaker, Craig, Minderman, Melissa, Nawrocki, Anne, Niazi, Faheem, Pareja, Kristen, Ramenani, Ravi, Riches, David, Song, Wanmin, Turcotte, Cynthia, Wang, Shally, Dooling, David, Fulton, Lucinda, Fulton, Robert, Weinstock, George, Burton, John, Carter, David M., Churcher, Carol, Coffey, Alison, Cox, Anthony, Palotie, Aarno, Quail, Michael, Skelly, Tom, Stalker, James, Swerdlow, Harold P., Turner, Daniel, De Witte, Anniek, Giles, Shane, Bainbridge, Matthew, Challis, Danny, Sabo, Aniko, Yu, Fuli, Yu, Jin, Fang, Xiaodong, Guo, Xiaosen, Li, Yingrui, Luo, Ruibang, Tai, Shuaishuai, Wu, Honglong, Zheng, Hancheng, Zheng, Xiaole, Zhou, Yan, Marth, Gabor T., Garrison, Erik P., Huang, Weichun, Indap, Amit, Kural, Deniz, Lee, Wan-Ping, Fung Leong, Wen, Quinlan, Aaron R., Stewart, Chip, Stromberg, Michael P., Ward, Alistair N., Wu, Jiantao, Lee, Charles, Mills, Ryan E., Shi, Xinghua, Daly, Mark J., DePristo, Mark A., Ball, Aaron D., Banks, Eric, Browning, Brian L., Garimella, Kiran V., Grossman, Sharon R., Handsaker, Robert E., Hanna, Matt, Hartl, Chris, Kernytsky, Andrew M., Korn, Joshua M., Li, Heng, Maguire, Jared R., McCarroll, Steven A., McKenna, Aaron, Nemesh, James C., Philippakis, Anthony A., Poplin, Ryan E., Price, Alkes, Rivas, Manuel A., Sabeti, Pardis C., Schaffner, Stephen F., Shlyakhter, Ilya A., Cooper, David N., Ball, Edward V., Mort, Matthew, Phillips, Andrew D., Stenson, Peter D., Sebat, Jonathan, Makarov, Vladimir, Ye, Kenny, Yoon, Seungtai C., Bustamante, Carlos D., Boyko, Adam, Degenhardt, Jeremiah, Gravel, Simon, Gutenkunst, Ryan N., Kaganovich, Mark, Keinan, Alon, Lacroute, Phil, Ma, Xin, Reynolds, Andy, Clarke, Laura, Cunningham, Fiona, Herrero, Javier, Keenen, Stephen, Kulesha, Eugene, Leinonen, Rasko, McLaren, William M., Radhakrishnan, Rajesh, Smith, Richard E., Zalunin, Vadim, Zheng-Bradley, Xiangqun, Korbel, Jan O., Stütz, Adrian M., Bauer, Markus, Keira Cheetham, R., Cox, Tony, Eberle, Michael, James, Terena, Kahn, Scott, Murray, Lisa, Ye, Kai, Fu, Yutao, Hyland, Fiona C. L., Manning, Jonathan M., McLaughlin, Stephen F., Peckham, Heather E., Sakarya, Onur, Sun, Yongming A., Tsung, Eric F., Batzer, Mark A., Konkel, Miriam K., Walker, Jerilyn A., Albrecht, Marcus W., Amstislavskiy, Vyacheslav S., Herwig, Ralf, Parkhomchuk, Dimitri V., Agarwala, Richa, Khouri, Hoda M., Morgulis, Aleksandr O., Paschall, Justin E., Phan, Lon D., Rotmistrovsky, Kirill E., Sanders, Robert D., Shumway, Martin F., Xiao, Chunlin, Auton, Adam, Iqbal, Zamin, Lunter, Gerton, Marchini, Jonathan L., Moutsianas, Loukas, Myers, Simon, Tumian, Afidalina, Knight, James, Winer, Roger, Craig, David W., Beckstrom-Sternberg, Steve M., Christoforides, Alexis, Kurdoglu, Ahmet A., Pearson, John V., Sinari, Shripad A., Tembe, Waibhav D., Haussler, David, Hinrichs, Angie S., Katzman, Sol J., Kern, Andrew, Kuhn, Robert M., Przeworski, Molly, Hernandez, Ryan D., Howie, Bryan, Kelley, Joanna L., Cord Melton, S., Li, Yun, Anderson, Paul, Blackwell, Tom, Chen, Wei, Cookson, William O., Ding, Jun, Min Kang, Hyun, Lathrop, Mark, Liang, Liming, Moffatt, Miriam F., Scheet, Paul, Sidore, Carlo, Snyder, Matthew, Zhan, Xiaowei, Zöllner, Sebastian, Awadalla, Philip, Casals, Ferran, Idaghdour, Youssef, Keebler, John, Stone, Eric A., Zilversmit, Martine, Jorde, Lynn, Xing, Jinchuan, Eichler, Evan E., Aksay, Gozde, Alkan, Can, Hajirasouliha, Iman, Hormozdiari, Fereydoun, Kidd, Jeffrey M., Cenk Sahinalp, S., Sudmant, Peter H., Chen, Ken, Chinwalla, Asif, Ding, Li, Koboldt, Daniel C., McLellan, Mike D., Wallis, John W., Wendl, Michael C., Zhang, Qunyuan, Albers, Cornelis A., Ayub, Qasim, Balasubramaniam, Senduran, Barrett, Jeffrey C., Chen, Yuan, Conrad, Donald F., Danecek, Petr, Dermitzakis, Emmanouil T., Hu, Min, Huang, Ni, Hurles, Matt E., Jin, Hanjun, Jostins, Luke, Keane, Thomas M., Quang Le, Si, Lindsay, Sarah, Long, Quan, MacArthur, Daniel G., Montgomery, Stephen B., Parts, Leopold, Tyler-Smith, Chris, Walter, Klaudia, Zhang, Yujun, Gerstein, Mark B., Snyder, Michael, Abyzov, Alexej, Balasubramanian, Suganthi, Bjornson, Robert, Du, Jiang, Grubert, Fabian, Habegger, Lukas, Haraksingh, Rajini, Jee, Justin, Khurana, Ekta, Lam, Hugo Y. K., Leng, Jing, Jasmine Mu, Xinmeng, Urban, Alexander E., Zhang, Zhengdong, Coafra, Cristian, Dinh, Huyen, Kovar, Christie, Lee, Sandy, Nazareth, Lynne, Wilkinson, Jane, Coffey, Allison, Scott, Carol, Gharani, Neda, Kaye, Jane S., Kent, Alastair, Li, Taosha, McGuire, Amy L., Ossorio, Pilar N., Rotimi, Charles N., Su, Yeyang, Toji, Lorraine H., Brooks, Lisa D., Felsenfeld, Adam L., McEwen, Jean E., Abdallah, Assya, Juenger, Christopher R., Clemm, Nicholas C., Duncanson, Audrey, Green, Eric D., Guyer, Mark S., Peterson, Jane L., The Wellcome Trust Sanger Institute [Cambridge], Centre National de Génotypage (CNG), Commissariat à l'énergie atomique et aux énergies alternatives (CEA), University of Michigan [Ann Arbor], University of Michigan System, The 1000 Genomes Project Consortium, Harvard University--MIT Division of Health Sciences and Technology, Massachusetts Institute of Technology. Department of Biology, Lander, Eric S., Altshuler, David, Daly, Mark J., Grossman, Sharon Rachel, Jaffe, David B., Korn, Joshua M., and Dermitzakis, Emmanouil

Subjects
Male, [SDV]Life Sciences [q-bio], DNA Mutational Analysis, Pilot Projects, Chromosomes, Human, Y/genetics, DNA, Mitochondrial/genetics, 0302 clinical medicine, ddc:576.5, 2. Zero hunger, Genetics, Recombination, Genetic, 0303 health sciences, Multidisciplinary, Genetics, Population/methods, Genomics, Polymorphism, Single Nucleotide/genetics, Recombination, Genetic/genetics, 3. Good health, Genetic Variation/genetics, Sequence Analysis, DNA/methods, Calibration, Female, Mutation/genetics, Genotype, Haplotypes/genetics, Biology, Instability, DNA, Mitochondrial, Polymorphism, Single Nucleotide, Article, Selection, Genetic/genetics, Factor (chord), Evolution, Molecular, 03 medical and health sciences, Table (landform), Humans, Selection, Genetic, Genetic Association Studies, 030304 developmental biology, Genotype imputation, Chromosomes, Human, Y, Genome, Human, Computational Biology, Genetic Variation, Sequence Analysis, DNA, Genomics/methods, Genetics, Population, Haplotypes, Sample Size, wide association gene-expression recombination hotspots meiotic recombination genotype imputation rare variants haplotype map nucleotide diseases common, Mutation, Genome, Human/genetics, Trinucleotide repeat expansion, Sequence Alignment, 030217 neurology & neurosurgery, Genome-Wide Association Study
Abstract

April 1, 2011, The 1000 Genomes Project aims to provide a deep characterization of human genome sequence variation as a foundation for investigating the relationship between genotype and phenotype. Here we present results of the pilot phase of the project, designed to develop and compare different strategies for genome-wide sequencing with high-throughput platforms. We undertook three projects: low-coverage whole-genome sequencing of 179 individuals from four populations; high-coverage sequencing of two mother–father–child trios; and exon-targeted sequencing of 697 individuals from seven populations. We describe the location, allele frequency and local haplotype structure of approximately 15 million single nucleotide polymorphisms, 1 million short insertions and deletions, and 20,000 structural variants, most of which were previously undescribed. We show that, because we have catalogued the vast majority of common variation, over 95% of the currently accessible variants found in any individual are present in this data set. On average, each person is found to carry approximately 250 to 300 loss-of-function variants in annotated genes and 50 to 100 variants previously implicated in inherited disorders. We demonstrate how these results can be used to inform association and functional studies. From the two trios, we directly estimate the rate of de novo germline base substitution mutations to be approximately 10[superscript −8] per base pair per generation. We explore the data with regard to signatures of natural selection, and identify a marked reduction of genetic variation in the neighbourhood of genes, due to selection at linked sites. These methods and public data will support the next phase of human genetic research., Ministry of Science and Technology of the People's Republic of China (973 program no. 2011CB809200), National Natural Science Foundation (China) (30725008), National Natural Science Foundation (China) (30890032), National Natural Science Foundation (China) (30811130531), National Natural Science Foundation (China) (30221004), China (Chinese 863 program 2006AA02Z177), China (Chinese 863 program 2006AA02Z334), China (Chinese 863 program 2006AA02A302), China (Chinese 863 program 2009AA022707), National Institutes of Health (U.S.) (Grant U54HG2750), National Institutes of Health (U.S.) (Grant U01HG5208), National Institutes of Health (U.S.) (Grant U54HG3067)

Published
2010

9. Insights into human genetic variation and population history from 929 diverse genomes

Author

Bergström, Anders, McCarthy, Shane A, Hui, Ruoyun, Almarri, Mohamed A, Ayub, Qasim, Danecek, Petr, Chen, Yuan, Felkel, Sabine, Hallast, Pille, Kamm, Jack, Blanché, Hélène, Deleuze, Jean-François, Cann, Howard, Mallick, Swapan, Reich, David, Sandhu, Manjinder S, Skoglund, Pontus, Scally, Aylwyn, Xue, Yali, Durbin, Richard, and Tyler-Smith, Chris

Subjects
Population Density, Asia, DNA Copy Number Variations, Whole Genome Sequencing, Genome, Human, Oceania, Racial Groups, Genetic Variation, Hominidae, 15. Life on land, Polymorphism, Single Nucleotide, 3. Good health, Genetics, Population, Haplotypes, INDEL Mutation, Africa, Animals, Humans, Americas, Phylogeny, Neanderthals
Abstract

Genome sequences from diverse human groups are needed to understand the structure of genetic variation in our species and the history of, and relationships between, different populations. We present 929 high-coverage genome sequences from 54 diverse human populations, 26 of which are physically phased using linked-read sequencing. Analyses of these genomes reveal an excess of previously undocumented common genetic variation private to southern Africa, central Africa, Oceania, and the Americas, but an absence of such variants fixed between major geographical regions. We also find deep and gradual population separations within Africa, contrasting population size histories between hunter-gatherer and agriculturalist groups in the past 10,000 years, and a contrast between single Neanderthal but multiple Denisovan source populations contributing to present-day human populations.

10. Insights into human genetic variation and population history from 929 diverse genomes

Author

Howard M. Cann, Shane A. McCarthy, Chris Tyler-Smith, David Reich, Aylwyn Scally, Qasim Ayub, Pontus Skoglund, Petr Danecek, Jean-François Deleuze, Manjinder S. Sandhu, Pille Hallast, Ruoyun Hui, Yuan Chen, Swapan Mallick, Yali Xue, Sabine Felkel, Anders Bergström, Hélène Blanché, Mohamed A. Almarri, Jack Kamm, Richard Durbin, Bergström, Anders [0000-0002-4096-9268], McCarthy, Shane A [0000-0002-2715-4187], Hui, Ruoyun [0000-0002-5689-7131], Almarri, Mohamed A [0000-0003-1255-0918], Ayub, Qasim [0000-0003-3291-0917], Danecek, Petr [0000-0002-4159-1666], Felkel, Sabine [0000-0001-8935-8305], Hallast, Pille [0000-0002-0588-3987], Kamm, Jack [0000-0003-2412-756X], Blanché, Hélène [0000-0003-2115-575X], Deleuze, Jean-François [0000-0002-5358-4463], Mallick, Swapan [0000-0002-4531-4439], Reich, David [0000-0002-7037-5292], Skoglund, Pontus [0000-0002-3021-5913], Scally, Aylwyn [0000-0002-0807-1167], Durbin, Richard [0000-0002-9130-1006], Tyler-Smith, Chris [0000-0002-6492-5403], and Apollo - University of Cambridge Repository

Subjects
Neanderthal, Population structure, Human genetic variation, Genome, 0302 clinical medicine, INDEL Mutation, Genetics (clinical), health care economics and organizations, Phylogeny, Neanderthals, 0303 health sciences, education.field_of_study, Multidisciplinary, Population size, 030305 genetics & heredity, Hominidae, 3. Good health, Asia, DNA Copy Number Variations, Population, education, Oceania, Genome, Viral, Biology, Polymorphism, Single Nucleotide, DNA sequencing, Article, 03 medical and health sciences, biology.animal, Genetic variation, Genetics, Population growth, Animals, Humans, Molecular Biology, Denisovan, 030304 developmental biology, Whole genome sequencing, Population Density, Whole Genome Sequencing, Genome, Human, Racial Groups, Central africa, Genetic Variation, 15. Life on land, biology.organism_classification, Genetics, Population, Haplotypes, Evolutionary biology, Africa, Human genome, Americas, Genome, Bacterial, 030217 neurology & neurosurgery
Abstract

INTRODUCTION: Large-scale human genome sequencing studies to date have been limited to large, metropolitan populations or to small numbers of genomes from each group. Much remains to be understood about the extent and structure of genetic variation in our species and how it was shaped by past population separations, admixture, adaptation, size changes, and gene flow from archaic human groups. Larger numbers of genome sequences from more diverse populations are needed to illuminate these questions. RATIONALE: We sequence 929 genomes from 54 geographically, linguistically and culturally diverse human populations to an average of 35x coverage, and analyze the variation among them. We also physically resolve the haplotype phase of 26 of these genomes using linked-read sequencing. RESULTS: We identify 67.3 million single-nucleotide polymorphisms (SNPs), 8.8 million small insertions or deletions (indels) and 40,736 copy number variants (CNVs). This includes hundreds of thousands of variants that had not been discovered by previous sequencing efforts but which are common in one or more population. We demonstrate benefits to the study of population relationships of genome sequences over ascertained array genotypes, particularly when involving African populations. Populations in central and southern Africa, the Americas and Oceania each harbour tens to hundreds of thousands of private, common genetic variants. The majority of these variants arose as novel mutations rather than through archaic introgression, except in Oceanian populations where many private variants derive from Denisovan admixture. While some reach high frequencies, no variants are fixed between major geographical regions. We estimate that the genetic separation between present-day human populations occurred mostly within the last 250,000 years. However, these early separations were gradual in nature and shaped by protracted gene flow. All populations thus still had some genetic contact more recently than this, but there is also evidence that a small fraction of present-day structure might be hundreds of thousands of years older. Most populations expanded in size over the last 10,000 years, but hunter-gatherer groups did not. The low diversity among the Neanderthal haplotypes segregating in present-day populations indicates that, while more than one Neanderthal individual must have contributed genetic material to modern humans, there was likely only one major episode of admixture. In contrast, Denisovan haplotype diversity reflects a more complex history involving more than one episode of admixture. We find small amounts of Neanderthal ancestry in West African genomes, most likely reflecting Eurasian admixture. Despite their very low levels or absence of archaic ancestry, African populations share many Neanderthal and Denisovan variants that are absent from Eurasia, reflecting how a larger proportion of the ancestral human variation has been maintained in Africa. CONCLUSION: The discovery of substantial amounts of common genetic variation that was previously undocumented, and is geographically restricted, highlights the continued value of anthropologically informed study designs for understanding human diversity. The genome sequences presented here are a freely available resource with relevance to population history, medical genetics, anthropology and linguistics. [Figure: see text]

Published
2020

11. Whole-genome sequencing coupled to imputation discovers genetic signals for anthropometric traits

Author

Graham R. S. Ritchie, Massimiliano Cocca, Anette Varbo, Nicholas J. Timpson, George Dedoussis, Michael Boehnke, Marjolein N. Kooijman, Beate St Pourcain, Yasin Memari, André G. Uitterlinden, Andrew A Crawford, Eleftheria Zeggini, Fernando Rivadeneira, Satu Männistö, Caroline L Relton, Yali Xue, Petr Danecek, Kalliope Panoutsopoulou, Albert Hofman, George Davey Smith, María Soler Artigas, Michela Traglia, Josine L. Min, Weihua Zhang, Janine F. Felix, Christopher J Hammond, Claudia Langenberg, Jie Huang, Brian R. Walker, Narinder Bansal, Nigel W. Rayner, Emanuele Di Angelantonio, Kerrin S. Small, Konstantinos Hatzikotoulas, Cecilia M. Lindgren, Alisa K. Manning, Shane A. McCarthy, Susan M. Ring, Marcus E. Kleber, Abhishek Nag, Oliver Stegle, Paul Burton, Oscar H. Franco, William R. Scott, Carolina Medina-Gomez, Valentina Iotchkova, John R. B. Perry, Alireza Moayyeri, Lavinia Paternoster, Marianne Benn, Markus Perola, Katerina Trajanoska, Inês Barroso, Audrey E. Hendricks, Cinzia Sala, Carlo Sidore, Celia M. T. Greenwood, Jeremy Schwartzentruber, Richard Durbin, Cristina Bombieri, Klaudia Walter, Wei-Yu Lin, Hashem A. Shihab, Gialuigi Zaza, Jaspal S. Kooner, Magdalena Zoledziewska, Angela Matchan, Adam S. Butterworth, Pekka Jousilahti, Julia Steinberg, Anne Tybjærg-Hansen, John P. Kemp, Daniel Suveges, Nicole Soranzo, Chris Finan, Veikko Salomaa, Ioanna Ntalla, Nicholas J. Wareham, Adam E. Locke, Vincent W. V. Jaddoe, Ioanna Tachmazidou, Daniela Toniolo, Scott Wilson, Antonella Mulas, Aliki-Eleni Farmaki, Lorraine Southam, Martin D. Tobin, Tom R. Gaunt, Zhongsheng Chen, Paolo Gasparini, Andrew P. Morris, Giovanni Gambaro, John C. Chambers, Børge G. Nordestgaard, Sarah Metrustry, Benjamin Lehne, Jian'an Luan, Giovanni Malerba, Robert A. Scott, Mark I. McCarthy, Michal Szpak, Francesco Cucca, Tim D. Spector, Epidemiology, Erasmus MC other, Pediatrics, Internal Medicine, University of Helsinki, Institute for Molecular Medicine Finland, Quantitative Genetics, Tachmazidou, Ioanna, Süveges, Dániel, Min, Josine L., Ritchie, Graham R. S., Steinberg, Julia, Walter, Klaudia, Iotchkova, Valentina, Schwartzentruber, Jeremy, Huang, Jie, Memari, Yasin, Mccarthy, Shane, Crawford, Andrew A., Bombieri, Cristina, Cocca, Massimiliano, Farmaki, Aliki-Eleni, Gaunt, Tom R., Jousilahti, Pekka, Kooijman, Marjolein N., Lehne, Benjamin, Malerba, Giovanni, Männistö, Satu, Matchan, Angela, Medina-Gomez, Carolina, Metrustry, Sarah J., Nag, Abhishek, Ntalla, Ioanna, Paternoster, Lavinia, Rayner, Nigel W., Sala, Cinzia, Scott, William R., Shihab, Hashem A., Southam, Lorraine, St Pourcain, Beate, Traglia, Michela, Trajanoska, Katerina, Zaza, Gialuigi, Zhang, Weihua, Artigas, María S., Bansal, Narinder, Benn, Marianne, Chen, Zhongsheng, Danecek, Petr, Lin, Wei-Yu, Locke, Adam, Luan, Jian'An, Manning, Alisa K., Mulas, Antonella, Sidore, Carlo, Tybjaerg-Hansen, Anne, Varbo, Anette, Zoledziewska, Magdalena, Finan, Chri, Hatzikotoulas, Konstantino, Hendricks, Audrey E., Kemp, John P., Moayyeri, Alireza, Panoutsopoulou, Kalliope, Szpak, Michal, Wilson, Scott G., Boehnke, Michael, Cucca, Francesco, Di Angelantonio, Emanuele, Langenberg, Claudia, Lindgren, Cecilia, Mccarthy, Mark I., Morris, Andrew P., Nordestgaard, Børge G., Scott, Robert A., Tobin, Martin D., Wareham, Nicholas J., Burton, Paul, Chambers, John C., Smith, George Davey, Dedoussis, George, Felix, Janine F., Franco, Oscar H., Gambaro, Giovanni, Gasparini, Paolo, Hammond, Christopher J., Hofman, Albert, Jaddoe, Vincent W. V., Kleber, Marcu, Kooner, Jaspal S., Perola, Marku, Relton, Caroline, Ring, Susan M., Rivadeneira, Fernando, Salomaa, Veikko, Spector, Timothy D., Stegle, Oliver, Toniolo, Daniela, Uitterlinden, André G., Barroso, Inê, Greenwood, Celia M. T., Perry, John R. B., Walker, Brian R., Butterworth, Adam S., Xue, Yali, Durbin, Richard, Small, Kerrin S., Soranzo, Nicole, Timpson, Nicholas J., Zeggini, Eleftheria, McCarthy, Shane [0000-0002-2715-4187], Bansal, Narinder [0000-0002-6925-1719], Luan, Jian'an [0000-0003-3137-6337], Di Angelantonio, Emanuele [0000-0001-8776-6719], Langenberg, Claudia [0000-0002-5017-7344], Wareham, Nicholas [0000-0003-1422-2993], Barroso, Ines [0000-0001-5800-4520], Perry, John [0000-0001-6483-3771], Butterworth, Adam [0000-0002-6915-9015], Soranzo, Nicole [0000-0003-1095-3852], and Apollo - University of Cambridge Repository

Subjects
Male, 0301 basic medicine, DXA trait, Lipodystrophy, next-generation whole-genome sequencing, GoT2D Consortium, LOCI, Genome-wide association study, imputation, anthropometry, DXA traits, genetic association study, UK Biobank, UK10K, Body Height, Cohort Studies, DNA Methylation, Databases, Genetic, Female, Genetic Variation, Humans, Meta-Analysis as Topic, Obesity, Physical Chromosome Mapping, Quantitative Trait Loci, Sequence Analysis, DNA, Sex Characteristics, Syndrome, United Kingdom, Anthropometry, Genome, Human, Genome-Wide Association Study, Genetics, Genetics (clinical), Settore MED/03 - GENETICA MEDICA, DISEASE, HOMEOBOX GENE, WIDE ASSOCIATION, Genetics & Heredity, Genome, 1184 Genetics, developmental biology, physiology, 11 Medical And Health Sciences, RARE VARIANTS, OBESITY, LOW-FREQUENCY, Life Sciences & Biomedicine, Sequence Analysis, arcOGEN Consortium, Human, ADULT HUMAN HEIGHT, Understanding Society Scientific Group, Computational biology, TARGETED DISRUPTION, Quantitative trait locus, Biology, Article, Databases, 03 medical and health sciences, Genetic, Genetic variation, Journal Article, UK10K Consortium, Allele, Genetic association, Whole genome sequencing, Science & Technology, SpiroMeta Consortium, DNA, 06 Biological Sciences, Sex Characteristic, 030104 developmental biology, Human genome, 3111 Biomedicine, Cohort Studie, KNOCKOUT MICE, Imputation (genetics)
Abstract

Deep sequence-based imputation can enhance the discovery power of genome-wide association studies by assessing previously unexplored variation across the common- and low-frequency spectra. We applied a hybrid whole genome sequencing (WGS) and deep imputation approach to examine the broader allelic architecture of twelve anthropometric traits associated with height, body mass and fat distribution in up to 267,616 individuals. We report 106 genome-wide significant signals that have not been previously identified, including 9 low-frequency variants pointing to functional candidates. Of the 106 signals, 6 are in genomic regions that have not been implicated with related traits before, 28 are independent signals at previously reported regions, and 72 represent previously reported signals for a different anthropometric trait. Seventy-one percent of signals reside within genes and fine-mapping resolves 23 signals to one or two likely causal variants. We confirm genetic overlap between human monogenic and polygenic anthropometric traits, and find signal enrichment in cis expression QTLs in relevant tissues. Our results highlight the potential of WGS strategies to enhance biologically-relevant discoveries across the frequency spectrum.

Published
2017

12. Tracing the route of modern humans out of Africa by using 225 human genome sequences from Ethiopians and Egyptians

Author

Yuan Chen, Toomas Kivisild, Stephan Schiffels, Ephrem Mekonnen, Petr Danecek, Luca Pagani, Tamiru Oljira, Deepti Gurdasani, Donata Luiselli, Chris Tyler-Smith, Neil Bradman, Marc Haber, Richard Durbin, Rosemary Ekong, Pierre Zalloua, Aylwyn Scally, Endashaw Bekele, Yali Xue, Pagani, Luca, Schiffels, Stephan, Gurdasani, Deepti, Danecek, Petr, Scally, Aylwyn, Chen, Yuan, Xue, Yali, Haber, Marc, Ekong, Rosemary, Oljira, Tamiru, Mekonnen, Ephrem, Luiselli, Donata, Bradman, Neil, Bekele, Endashaw, Zalloua, Pierre, Durbin, Richard, Kivisild, Tooma, and Tyler-Smith, Chris

Subjects
Human Migration, Population, Egypt, Ancient, Molecular Sequence Data, Black People, Biology, Coalescent theory, 03 medical and health sciences, Genetic, Principal Component Analysi, Out of africa, Report, Genetics, Haplotype, Humans, Genetics(clinical), education, Genetics (clinical), History, Ancient, 030304 developmental biology, African Continental Ancestry Group, 0303 health sciences, education.field_of_study, Genetic diversity, Principal Component Analysis, Base Sequence, Geography, Models, Genetic, Human migration, business.industry, Genome, Human, 030305 genetics & heredity, High-Throughput Nucleotide Sequencing, Markov Chain, Biological Evolution, Markov Chains, Haplotypes, Evolutionary biology, Homo sapiens, Human genome, Egypt, Ethiopia, business, Human
Abstract

The predominantly African origin of all modern human populations is well established, but the route taken out of Africa is still unclear. Two alternative routes, via Egypt and Sinai or across the Bab el Mandeb strait into Arabia, have traditionally been proposed as feasible gateways in light of geographic, paleoclimatic, archaeological, and genetic evidence. Distinguishing among these alternatives has been difficult. We generated 225 whole-genome sequences (225 at 8× depth, of which 8 were increased to 30×; Illumina HiSeq 2000) from six modern Northeast African populations (100 Egyptians and five Ethiopian populations each represented by 25 individuals). West Eurasian components were masked out, and the remaining African haplotypes were compared with a panel of sub-Saharan African and non-African genomes. We showed that masked Northeast African haplotypes overall were more similar to non-African haplotypes and more frequently present outside Africa than were any sets of haplotypes derived from a West African population. Furthermore, the masked Egyptian haplotypes showed these properties more markedly than the masked Ethiopian haplotypes, pointing to Egypt as the more likely gateway in the exodus to the rest of the world. Using five Ethiopian and three Egyptian high-coverage masked genomes and the multiple sequentially Markovian coalescent (MSMC) approach, we estimated the genetic split times of Egyptians and Ethiopians from non-African populations at 55,000 and 65,000 years ago, respectively, whereas that of West Africans was estimated to be 75,000 years ago. Both the haplotype and MSMC analyses thus suggest a predominant northern route out of Africa via Egypt.

Published
2015

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