Resource Type
Dataset
Resource Name

Summary statistics for T1D GWAS of 18,942 patients with T1D and 501,638 control participants of European ancestry from 9 cohorts
Canonical Identifier
GCST90014023
Description
These T1D GWAS statistics are derived from the paper ""Interpreting type 1 diabetes risk with genetics and single-cell epigenomics"" using a Bayesian method; details can be referenced there. This includes association results for 61,947,369 variants and identified 81 loci that reached genome-wide significance (P < 5 × 10−8), including 48 of 59 known loci and 33 loci that were previously unreported.
Contributors
NameOrganizationConsortiumContact
Josh ChiouUniversity of California, San Diego Contact
Jee HanUniversity of California, San Diego Contact
Sebastian PreisslUniversity of California, San Diego Contact
David GorkinUniversity of California, San Diego Contact
Maike SanderUniversity of California, San DiegoCHIB, HPAC Contact
Kyle GaultonUniversity of California, San Diego Contact
Tags or Keywords
Defining Manuscript Identifier
34012112


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Biosample Characteristics
Biosample Type
Technology Type or Sequencing Platform



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