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8 results on '"Danecek, Petr"'

1. A reference panel of 64,976 haplotypes for genotype imputation.

Author

McCarthy S, Das S, Kretzschmar W, Delaneau O, Wood AR, Teumer A, Kang HM, Fuchsberger C, Danecek P, Sharp K, Luo Y, Sidore C, Kwong A, Timpson N, Koskinen S, Vrieze S, Scott LJ, Zhang H, Mahajan A, Veldink J, Peters U, Pato C, van Duijn CM, Gillies CE, Gandin I, Mezzavilla M, Gilly A, Cocca M, Traglia M, Angius A, Barrett JC, Boomsma D, Branham K, Breen G, Brummett CM, Busonero F, Campbell H, Chan A, Chen S, Chew E, Collins FS, Corbin LJ, Smith GD, Dedoussis G, Dorr M, Farmaki AE, Ferrucci L, Forer L, Fraser RM, Gabriel S, Levy S, Groop L, Harrison T, Hattersley A, Holmen OL, Hveem K, Kretzler M, Lee JC, McGue M, Meitinger T, Melzer D, Min JL, Mohlke KL, Vincent JB, Nauck M, Nickerson D, Palotie A, Pato M, Pirastu N, McInnis M, Richards JB, Sala C, Salomaa V, Schlessinger D, Schoenherr S, Slagboom PE, Small K, Spector T, Stambolian D, Tuke M, Tuomilehto J, Van den Berg LH, Van Rheenen W, Volker U, Wijmenga C, Toniolo D, Zeggini E, Gasparini P, Sampson MG, Wilson JF, Frayling T, de Bakker PI, Swertz MA, McCarroll S, Kooperberg C, Dekker A, Altshuler D, Willer C, Iacono W, Ripatti S, Soranzo N, Walter K, Swaroop A, Cucca F, Anderson CA, Myers RM, Boehnke M, McCarthy MI, and Durbin R

Subjects
Alleles, Genetic Techniques, Genome-Wide Association Study, Humans, Internet, Reference Values, Genotype, Haplotypes, Polymorphism, Single Nucleotide
Abstract

We describe a reference panel of 64,976 human haplotypes at 39,235,157 SNPs constructed using whole-genome sequence data from 20 studies of predominantly European ancestry. Using this resource leads to accurate genotype imputation at minor allele frequencies as low as 0.1% and a large increase in the number of SNPs tested in association studies, and it can help to discover and refine causal loci. We describe remote server resources that allow researchers to carry out imputation and phasing consistently and efficiently.

Published
2016
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2. Improved imputation of low-frequency and rare variants using the UK10K haplotype reference panel.

Author

Huang J, Howie B, McCarthy S, Memari Y, Walter K, Min JL, Danecek P, Malerba G, Trabetti E, Zheng HF, Gambaro G, Richards JB, Durbin R, Timpson NJ, Marchini J, and Soranzo N

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

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

4. Population-scale proteome variation in human induced pluripotent stem cells

Author

Mirauta, Bogdan Andrei, Seaton, Daniel D, Bensaddek, Dalila, Brenes, Alejandro, Bonder, Marc Jan, Kilpinen, Helena, Agu, Chukwuma A, Alderton, Alex, Danecek, Petr, Denton, Rachel, Durbin, Richard, Gaffney, Daniel J, Goncalves, Angela, Halai, Reena, Harper, Sarah, Kirton, Christopher M, Kolb-Kokocinski, Anja, Leha, Andreas, McCarthy, Shane A, Memari, Yasin, Patel, Minal, Birney, Ewan, Casale, Francesco Paolo, Clarke, Laura, Harrison, Peter W, Streeter, Ian, Denovi, Davide, Stegle, Oliver, Lamond, Angus I, Meleckyte, Ruta, Moens, Natalie, Watt, Fiona M, Ouwehand, Willem H, Beales, Philip, Mirauta, Bogdan Andrei [0000-0002-9733-292X], Bonder, Marc Jan [0000-0002-8431-3180], Kilpinen, Helena [0000-0001-6692-6154], Stegle, Oliver [0000-0002-8818-7193], Lamond, Angus I [0000-0001-6204-6045], Apollo - University of Cambridge Repository, and Helsinki Institute of Life Science HiLIFE

Subjects
Male, Proteomics, Proteome, Genome-wide association study, VARIANTS, Transcriptome, 0302 clinical medicine, SCHIZOPHRENIA, Human proteome project, genetics, Disease, Biology (General), Induced pluripotent stem cell, Child, GENE-EXPRESSION, 0303 health sciences, education.field_of_study, Drug discovery, General Neuroscience, General Medicine, Middle Aged, Phenotype, Child, Preschool, Medicine, ABUNDANCE, Female, Research Article, Adult, Adolescent, Genotype, QH301-705.5, induced pluripotent stem cells, Science, Population, Quantitative Trait Loci, deleterious variants, Genomics, Computational biology, Quantitative trait locus, Biology, General Biochemistry, Genetics and Molecular Biology, DIFFERENTIAL EXPRESSION, 03 medical and health sciences, Young Adult, RESOURCE, REVEALS, genomics, Humans, human, RNA, Messenger, education, 030304 developmental biology, Aged, IDENTIFICATION, General Immunology and Microbiology, Infant, Newborn, Genetic Variation, Infant, Genetics and Genomics, QUANTIFICATION, Genetics, Population, REGULATORY VARIATION, 3111 Biomedicine, 030217 neurology & neurosurgery
Abstract

Human disease phenotypes are driven primarily by alterations in protein expression and/or function. To date, relatively little is known about the variability of the human proteome in populations and how this relates to variability in mRNA expression and to disease loci. Here, we present the first comprehensive proteomic analysis of human induced pluripotent stem cells (iPSC), a key cell type for disease modelling, analysing 202 iPSC lines derived from 151 donors, with integrated transcriptome and genomic sequence data from the same lines. We characterised the major genetic and non-genetic determinants of proteome variation across iPSC lines and assessed key regulatory mechanisms affecting variation in protein abundance. We identified 654 protein quantitative trait loci (pQTLs) in iPSCs, including disease-linked variants in protein-coding sequences and variants with trans regulatory effects. These include pQTL linked to GWAS variants that cannot be detected at the mRNA level, highlighting the utility of dissecting pQTL at peptide level resolution.

Published
2020

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, 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

6. 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

7. Common genetic variation drives molecular heterogeneity in human iPSCs

Author

Kilpinen, Helena, Goncalves, Angela, Leha, Andreas, Afzal, Vackar, Alasoo, Kaur, Ashford, Sofie, Bala, Sendu, Bensaddek, Dalila, Casale, Francesco Paolo, Culley, Oliver J, Danecek, Petr, Faulconbridge, Adam, Harrison, Peter W, Kathuria, Annie, McCarthy, Davis, McCarthy, Shane A, Meleckyte, Ruta, Memari, Yasin, Moens, Nathalie, Soares, Filipa, Mann, Alice, Streeter, Ian, Agu, Chukwuma A, Alderton, Alex, Nelson, Rachel, Harper, Sarah, Patel, Minal, White, Alistair, Patel, Sharad R, Clarke, Laura, Halai, Reena, Kirton, Christopher M, Kolb-Kokocinski, Anja, Beales, Philip, Birney, Ewan, Danovi, Davide, Lamond, Angus I, Ouwehand, Willem H, Vallier, Ludovic, Watt, Fiona M, Durbin, Richard, Stegle, Oliver, and Gaffney, Daniel J

Subjects
Quality Control, DNA Copy Number Variations, Genotype, Induced Pluripotent Stem Cells, Quantitative Trait Loci, Genetic Variation, Cellular Reprogramming, 3. Good health, Phenotype, Gene Expression Regulation, Organ Specificity, Humans, Transcriptome, Cells, Cultured
Abstract

Technology utilizing human induced pluripotent stem cells (iPS cells) has enormous potential to provide improved cellular models of human disease. However, variable genetic and phenotypic characterization of many existing iPS cell lines limits their potential use for research and therapy. Here we describe the systematic generation, genotyping and phenotyping of 711 iPS cell lines derived from 301 healthy individuals by the Human Induced Pluripotent Stem Cells Initiative. Our study outlines the major sources of genetic and phenotypic variation in iPS cells and establishes their suitability as models of complex human traits and cancer. Through genome-wide profiling we find that 5-46% of the variation in different iPS cell phenotypes, including differentiation capacity and cellular morphology, arises from differences between individuals. Additionally, we assess the phenotypic consequences of genomic copy-number alterations that are repeatedly observed in iPS cells. In addition, we present a comprehensive map of common regulatory variants affecting the transcriptome of human pluripotent cells.

8. A reference panel of 64,976 haplotypes for genotype imputation

Author

Steven A. McCarroll, Gerome Breen, Nicole Soranzo, Sayantan Das, Ilaria Gandin, Lukas Forer, David Schlessinger, Jonathan Marchini, Francesco Cucca, Anand Swaroop, Seppo Koskinen, Aliki-Eleni Farmaki, Alan Kwong, Gonçalo R. Abecasis, Marcus Dörr, Yang Luo, Andrew T. Chan, Andrea Angius, P. Eline Slagboom, Petr Danecek, Cinzia Sala, Ulrike Peters, Marcus A. Tuke, D.I. Boomsma, Jan H. Veldink, Nicholas J. Timpson, Scott I. Vrieze, Aarno Palotie, Matt McGue, Wouter van Rheenen, Melvin G. McInnis, Shawn Levy, George Dedoussis, Richard Durbin, Matthias Kretzler, Ross M. Fraser, C Sidore, David Melzer, Eleftheria Zeggini, Andrew R. Wood, Veikko Salomaa, Oddgeir L. Holmen, Alexander Teumer, Hyun Min Kang, James F. Wilson, Cristen J. Willer, Laura J. Scott, Richard M. Myers, George Davey Smith, Andrew T. Hattersley, Matthias Nauck, Matthew G. Sampson, Christian Fuchsberger, Josine L. Min, Leonard H. van den Berg, Thomas Meitinger, David Altshuler, John B. Vincent, Kevin Sharp, Jaakko Tuomilehto, Daniela Toniolo, Cornelia M. van Duijn, Samuli Ripatti, Stacey Gabriel, Michael Boehnke, Annelot M. Dekker, Francis S. Collins, He Zhang, Klaudia Walter, Deborah A. Nickerson, Nicola Pirastu, Morris A. Swertz, Kari Branham, Luigi Ferrucci, Sai Chen, Fabio Busonero, Paul I.W. de Bakker, Kristian Hveem, Charles Kooperberg, Michela Traglia, Warren W. Kretzschmar, Leif Groop, Tabitha A. Harrison, Sebastian Schoenherr, J. Brent Richards, Uwe Völker, Shane A. McCarthy, Harry Campbell, Massimo Mezzavilla, Chad M. Brummett, Mark I. McCarthy, Tim D. Spector, Dwight Stambolian, Massimiliano Cocca, Emily Y. Chew, Carlos N. Pato, Jeffrey C. Barrett, Christopher E. Gillies, William G. Iacono, Karen L. Mohlke, Olivier Delaneau, Laura J Corbin, Cisca Wijmenga, Anubha Mahajan, Timothy M. Frayling, James Lee, Michele T. Pato, Carl A. Anderson, Arthur Gilly, Kerrin S. Small, Paolo Gasparini, Biological Psychology, Amsterdam Neuroscience - Mood, Anxiety, Psychosis, Stress & Sleep, McCarthy, Shane [0000-0002-2715-4187], Das, Sayantan [0000-0001-6346-1590], Kretzschmar, Warren [0000-0002-2575-0807], Durbin, Richard [0000-0002-9130-1006], Apollo - University of Cambridge Repository, Epidemiology, Groningen Institute for Gastro Intestinal Genetics and Immunology (3GI), Mccarthy, Shane, Das, Sayantan, Kretzschmar, Warren, Delaneau, Olivier, Wood, Andrew R, Teumer, Alexander, Kang, Hyun Min, Fuchsberger, Christian, Danecek, Petr, Sharp, Kevin, Luo, Yang, Sidore, Carlo, Kwong, Alan, Timpson, Nichola, Koskinen, Seppo, Vrieze, Scott, Scott, Laura J, Zhang, He, Mahajan, Anubha, Veldink, Jan, Peters, Ulrike, Pato, Carlo, van Duijn, Cornelia M, Gillies, Christopher E, Gandin, Ilaria, Mezzavilla, Massimo, Gilly, Arthur, Cocca, Massimiliano, Traglia, Michela, Angius, Andrea, Barrett, Jeffrey C, Boomsma, Dorrett, Branham, Kari, Breen, Gerome, Brummett, Chad M, Busonero, Fabio, Campbell, Harry, Chan, Andrew, Chen, Sai, Chew, Emily, Collins, Francis S, Corbin, Laura J, Smith, George Davey, Dedoussis, George, Dorr, Marcu, Farmaki, Aliki Eleni, Ferrucci, Luigi, Forer, Luka, Fraser, Ross M, Gabriel, Stacey, Levy, Shawn, Groop, Leif, Harrison, Tabitha, Hattersley, Andrew, Holmen, Oddgeir L, Hveem, Kristian, Kretzler, Matthia, Lee, James C, Mcgue, Matt, Meitinger, Thoma, Melzer, David, Min, Josine L, Mohlke, Karen L, Vincent, John B, Nauck, Matthia, Nickerson, Deborah, Palotie, Aarno, Pato, Michele, Pirastu, Nicola, Mcinnis, Melvin, Richards, J. Brent, Sala, Cinzia, Salomaa, Veikko, Schlessinger, David, Schoenherr, Sebastian, Slagboom, P. Eline, Small, Kerrin, Spector, Timothy, Stambolian, Dwight, Tuke, Marcu, Tuomilehto, Jaakko, van den Berg, Leonard H, van Rheenen, Wouter, Volker, Uwe, Wijmenga, Cisca, Toniolo, Daniela, Zeggini, Eleftheria, Gasparini, Paolo, Sampson, Matthew G, Wilson, James F, Frayling, Timothy, de Bakker, Paul I. W, Swertz, Morris A, Mccarroll, Steven, Kooperberg, Charle, Dekker, Annelot, Altshuler, David, Willer, Cristen, Iacono, William, Ripatti, Samuli, Soranzo, Nicole, Walter, Klaudia, Swaroop, Anand, Cucca, Francesco, Anderson, Carl A, Myers, Richard M, Boehnke, Michael, Mccarthy, Mark I, and Durbin, Richard

Subjects
0301 basic medicine, Netherlands Twin Register (NTR), Genotype, Population, Genome-wide association study, Single-nucleotide polymorphism, Computational biology, Biology, Polymorphism, Single Nucleotide, SEQUENCE, Article, 03 medical and health sciences, 0302 clinical medicine, Reference Values, Journal Article, Genetics, Humans, GENOME-WIDE ASSOCIATION, education, Alleles, POPULATION, 030304 developmental biology, Genetic association, Whole genome sequencing, education.field_of_study, Internet, 0303 health sciences, Genotype imputation, Medicine (all), Haplotype, ALSPAC, Minor allele frequency, 030104 developmental biology, Genetic Techniques, Haplotypes, RARE VARIANTS, 030217 neurology & neurosurgery, Imputation (genetics), Genome-Wide Association Study
Abstract

We describe a reference panel of 64,976 human haplotypes at 39,235,157 SNPs constructed using whole genome sequence data from 20 studies of predominantly European ancestry. Using this resource leads to accurate genotype imputation at minor allele frequencies as low as 0.1%, a large increase in the number of SNPs tested in association studies and can help to discover and refine causal loci. We describe remote server resources that allow researchers to carry out imputation and phasing consistently and efficiently.

Published
2015

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