scispace - formally typeset
Search or ask a question

Showing papers by "Adam Auton published in 2015"


Journal ArticleDOI
Adam Auton1, Gonçalo R. Abecasis2, David Altshuler3, Richard Durbin4  +514 moreInstitutions (90)
01 Oct 2015-Nature
TL;DR: The 1000 Genomes Project set out to provide a comprehensive description of common human genetic variation by applying whole-genome sequencing to a diverse set of individuals from multiple populations, and has reconstructed the genomes of 2,504 individuals from 26 populations using a combination of low-coverage whole-generation sequencing, deep exome sequencing, and dense microarray genotyping.
Abstract: The 1000 Genomes Project set out to provide a comprehensive description of common human genetic variation by applying whole-genome sequencing to a diverse set of individuals from multiple populations. Here we report completion of the project, having reconstructed the genomes of 2,504 individuals from 26 populations using a combination of low-coverage whole-genome sequencing, deep exome sequencing, and dense microarray genotyping. We characterized a broad spectrum of genetic variation, in total over 88 million variants (84.7 million single nucleotide polymorphisms (SNPs), 3.6 million short insertions/deletions (indels), and 60,000 structural variants), all phased onto high-quality haplotypes. This resource includes >99% of SNP variants with a frequency of >1% for a variety of ancestries. We describe the distribution of genetic variation across the global sample, and discuss the implications for common disease studies.

12,661 citations


01 Oct 2015
TL;DR: The 1000 Genomes Project as mentioned in this paper provided a comprehensive description of common human genetic variation by applying whole-genome sequencing to a diverse set of individuals from multiple populations, and reported the completion of the project, having reconstructed the genomes of 2,504 individuals from 26 populations using a combination of low-coverage whole genome sequencing, deep exome sequencing and dense microarray genotyping.
Abstract: The 1000 Genomes Project set out to provide a comprehensive description of common human genetic variation by applying whole-genome sequencing to a diverse set of individuals from multiple populations. Here we report completion of the project, having reconstructed the genomes of 2,504 individuals from 26 populations using a combination of low-coverage whole-genome sequencing, deep exome sequencing, and dense microarray genotyping. We characterized a broad spectrum of genetic variation, in total over 88 million variants (84.7 million single nucleotide polymorphisms (SNPs), 3.6 million short insertions/deletions (indels), and 60,000 structural variants), all phased onto high-quality haplotypes. This resource includes >99% of SNP variants with a frequency of >1% for a variety of ancestries. We describe the distribution of genetic variation across the global sample, and discuss the implications for common disease studies.

3,247 citations


Journal ArticleDOI
Peter H. Sudmant1, Tobias Rausch, Eugene J. Gardner2, Robert E. Handsaker3, Robert E. Handsaker4, Alexej Abyzov5, John Huddleston1, Yan Zhang6, Kai Ye7, Goo Jun8, Goo Jun9, Markus His Yang Fritz, Miriam K. Konkel10, Ankit Malhotra, Adrian M. Stütz, Xinghua Shi11, Francesco Paolo Casale12, Jieming Chen6, Fereydoun Hormozdiari1, Gargi Dayama8, Ken Chen13, Maika Malig1, Mark Chaisson1, Klaudia Walter12, Sascha Meiers, Seva Kashin3, Seva Kashin4, Erik Garrison14, Adam Auton15, Hugo Y. K. Lam, Xinmeng Jasmine Mu6, Xinmeng Jasmine Mu3, Can Alkan16, Danny Antaki17, Taejeong Bae5, Eliza Cerveira, Peter S. Chines18, Zechen Chong13, Laura Clarke12, Elif Dal16, Li Ding7, S. Emery8, Xian Fan13, Madhusudan Gujral17, Fatma Kahveci16, Jeffrey M. Kidd8, Yu Kong15, Eric-Wubbo Lameijer19, Shane A. McCarthy12, Paul Flicek12, Richard A. Gibbs20, Gabor T. Marth14, Christopher E. Mason21, Androniki Menelaou22, Androniki Menelaou23, Donna M. Muzny24, Bradley J. Nelson1, Amina Noor17, Nicholas F. Parrish25, Matthew Pendleton24, Andrew Quitadamo11, Benjamin Raeder, Eric E. Schadt24, Mallory Romanovitch, Andreas Schlattl, Robert Sebra24, Andrey A. Shabalin26, Andreas Untergasser27, Jerilyn A. Walker10, Min Wang20, Fuli Yu20, Chengsheng Zhang, Jing Zhang6, Xiangqun Zheng-Bradley12, Wanding Zhou13, Thomas Zichner, Jonathan Sebat17, Mark A. Batzer10, Steven A. McCarroll4, Steven A. McCarroll3, Ryan E. Mills8, Mark Gerstein6, Ali Bashir24, Oliver Stegle12, Scott E. Devine2, Charles Lee28, Evan E. Eichler1, Jan O. Korbel12 
01 Oct 2015-Nature
TL;DR: In this paper, the authors describe an integrated set of eight structural variant classes comprising both balanced and unbalanced variants, which are constructed using short-read DNA sequencing data and statistically phased onto haplotype blocks in 26 human populations.
Abstract: Structural variants are implicated in numerous diseases and make up the majority of varying nucleotides among human genomes. Here we describe an integrated set of eight structural variant classes comprising both balanced and unbalanced variants, which we constructed using short-read DNA sequencing data and statistically phased onto haplotype blocks in 26 human populations. Analysing this set, we identify numerous gene-intersecting structural variants exhibiting population stratification and describe naturally occurring homozygous gene knockouts that suggest the dispensability of a variety of human genes. We demonstrate that structural variants are enriched on haplotypes identified by genome-wide association studies and exhibit enrichment for expression quantitative trait loci. Additionally, we uncover appreciable levels of structural variant complexity at different scales, including genic loci subject to clusters of repeated rearrangement and complex structural variants with multiple breakpoints likely to have formed through individual mutational events. Our catalogue will enhance future studies into structural variant demography, functional impact and disease association.

1,971 citations


Journal ArticleDOI
TL;DR: It is confirmed that aging is associated with the accumulation of somatic mutations, and strongly suggest that the level of genome instability of normal cells, modified by both endogenous and environmental factors, is the main risk factor for cancer.
Abstract: Aging is associated with an increased risk of cancer, possibly in part because of an age-related increase in mutations in normal tissues. Due to their extremely low abundance, somatic mutations in normal tissues frequently escape detection. Tumors, as clonal expansions of single cells, can provide information about the somatic mutations present in these cells prior to tumorigenesis. Here, we used data from The Cancer Genome Atlas (TCGA), to systematically study the frequency and spectrum of somatic mutations in a total of 6,969 patients and 34 different tumor types as a function of the age of the patient. After using linear modeling to control for the age structure of different tumor types, we found that the number of identified somatic mutations increases exponentially with age. Using additional data from the literature, we found that accumulation of somatic mutations is associated with cell division rate, cancer risk and cigarette smoking, with the latter also associated with a distinct spectrum of mutations. Our results confirm that aging is associated with the accumulation of somatic mutations, and strongly suggest that the level of genome instability of normal cells, modified by both endogenous and environmental factors, is the main risk factor for cancer.

96 citations


Journal ArticleDOI
TL;DR: Results suggest that both rare and common DNA variations in PNPLA3 and SAMM50 may be correlated with NAFLD in this small population study, while commonDNA variations in CHUK and ERLIN1 may have a protective interaction.
Abstract: We explored potential genetic risk factors implicated in nonalcoholic fatty liver disease (NAFLD) within a Caribbean-Hispanic population in New York City. A total of 316 individuals including 40 subjects with biopsy-proven NAFLD, 24 ethnically matched non-NAFLD controls, and a 252 ethnically mixed random sampling of Bronx County, New York were analyzed. Genotype analysis was performed to determine allelic frequencies of 74 known single-nucleotide polymorphisms (SNPs) associated with NAFLD risk based on previous genome-wide association study (GWAS) and candidate gene studies. Additionally, the entire coding region of PNPLA3, a gene showing the strongest association to NAFLD was subjected to Sanger sequencing. Results suggest that both rare and common DNA variations in PNPLA3 and SAMM50 may be correlated with NAFLD in this small population study, while common DNA variations in CHUK and ERLIN1, may have a protective interaction. Common SNPs in ENPP1 and ABCC2 have suggestive association with fatty liver, but with less compelling significance. In conclusion, Hispanic patients of Caribbean ancestry may have different interactions with NAFLD genetic modifiers; therefore, further investigation with a larger sample size, into this Caribbean-Hispanic population is warranted.

16 citations