70KforT2D GWAS

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  • The 70KforT2D GWAS dataset includes cohorts that are also included in the DIAGRAM Transethnic meta-analysis dataset. A subset of the 70KforT2D dataset that does not overlap with DIAGRAM samples, "70KforT2D GWAS minus DIAGRAM samples", is provided in the Portal so that valid comparisons may be made between the two datasets.
  • All samples except the non-European GERA samples are included in the "DIAMANTE (European) T2D GWAS" dataset.

Publications

Re-analysis of public genetic data reveals a rare X-chromosomal variant associated with type 2 diabetes.
Bonàs-Guarch S, et al.
Nat Commun. 2018 Jan 22;9(1):321. doi: 10.1038/s41467-017-02380-9.
PMID: 29358691

Phenotypes

  • type 2 diabetes

Subjects

Cases Controls Cohort (Click to view selection criteria for cases and controls) Ancestry
556 614 Northwestern NUGENE European
919 787 Finland-United States Investigation of NIDDM Genetics (FUSION) European
1,894 2,917 Wellcome Trust Case Control Consortium (WTCCC) European
2,614 3,061 GENEVA Genes and Environment Initiatives in Type 2 Diabetes (Nurses' Health Study/Health Professionals Follow-up Study) GENEVA NHS/HPFS European
6,995 49,845 Resource for Genetic Epidemiology Research on Adult Health and Aging (GERA) Mixed

Project

The 70KforT2D project is a re-analysis of public type 2 diabetes (T2D) GWAS datasets for 70,127 subjects, using genotype imputation with two reference panels (1000 Genomes and UK10K). This study improved coverage of rare and low-frequency variants as well as small insertions and deletions (indels), which led to an improved fine-mapping over ∼15M variants as well as a comprehensive exploration of the role of X chromosome variation into the genetics of T2D.

Experiment summary

In this study, publicly available GWAS individual-level data were aggregated, harmonized, subjected to quality control and imputation, and re-analyzed for association with type 2 diabetes. This approach allowed the analysis of variants on the X chromosome, which had not been done previously. Because variants on the X chromosome may have different effects in males and females, results are provided for these variants in two subsets of these data: "70KforT2D GWAS: chrX, females" and "70KforT2D GWAS: chrX, males". As noted above, a subset "70KforT2D GWAS minus DIAGRAM samples" is also provided that does not overlap with the DIAGRAM Transethnic meta-analysis dataset.

External Links to 70KforT2D GWAS data

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dbGaP: phs000237.v1.p1, phs000100.v4.p1, phs000091.v2.p1, phs000674.v1.p1 

EGA:EGAS00000000005 (EGAD00000000001 + EGAD00000000002 + EGAD00000000009)

Dataset ID
GWAS_70kForT2D