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Sequence data and association statistics from 12,940 type 2 diabetes cases and controls.
Sci. Data 4:170179 (2017)
To investigate the genetic basis of type 2 diabetes (T2D) to high resolution, the GoT2D and T2D-GENES consortia catalogued variation from whole-genome sequencing of 2,657 European individuals and exome sequencing of 12,940 individuals of multiple ancestries. Over 27M SNPs, indels, and structural variants were identified, including 99% of low-frequency (minor allele frequency [MAF] 0.1-5%) non-coding variants in the whole-genome sequenced individuals and 99.7% of low-frequency coding variants in the whole-exome sequenced individuals. Each variant was tested for association with T2D in the sequenced individuals, and, to increase power, most were tested in larger numbers of individuals (>80% of low-frequency coding variants in ~82 K Europeans via the exome chip, and ~90% of low-frequency non-coding variants in ~44 K Europeans via genotype imputation). The variants, genotypes, and association statistics from these analyses provide the largest reference to date of human genetic information relevant to T2D, for use in activities such as T2D-focused genotype imputation, functional characterization of variants or genes, and other novel analyses to detect associations between sequence variation and T2D.
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Publication type
Article: Journal article
Document type
Scientific Article
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Editors
Keywords
Genome-wide Association; Rare Variants; Genetic Architecture; Population-scale; Common Diseases; Framework; Metaanalysis; Imputation; Mutations; Discovery
Keywords plus
Language
english
Publication Year
2017
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HGF-reported in Year
2017
ISSN (print) / ISBN
2052-4463
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2052-4463
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Quellenangaben
Volume: 4,
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Article Number: 170179
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Nature Publishing Group
Publishing Place
London
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0000-00-00
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0000-00-00
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0000-00-00
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Peer reviewed
POF-Topic(s)
30501 - Systemic Analysis of Genetic and Environmental Factors that Impact Health
30201 - Metabolic Health
30202 - Environmental Health
90000 - German Center for Diabetes Research
Research field(s)
Genetics and Epidemiology
PSP Element(s)
G-504100-001
G-500600-001
G-504000-002
G-504000-006
G-504091-002
G-504091-001
G-501900-401
G-500700-001
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Erfassungsdatum
2017-12-27