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EGG GWAS: Childhood obesity summary data

eagle-i ID


Resource Type

  1. Database


  1. Resource Description
    "We are releasing the summary data from the genome-wide meta-analysis of childhood obesity (cases defined as BMI>95th percentile; controls defined as BMI<50th percentile) in subjects of European ancestry, in order to enable other researchers to examine particular variants or loci of their interest for association with this trait. The file includes P-values and direction of effect at over 2 million directly genotyped or imputed single nucleotide polymorphisms (SNPs) based on the HapMap Utah residents of Northern and Western European ancestry (CEU) SNPs (Phase 2, release 22). To minimize the possibility of identification of individuals from these summary results, we are not releasing allele frequency data from our samples. We assessed for association with each SNP in the case-control setting using an additive genetic model. Dataset Details The childhood obesity dataset was generated by performing a meta-analysis of up to 14 studies consisting of 5,530 cases (≥95th percentile of body mass index (BMI)) and 8,318 controls (<50th percentile of BMI). The data made available is where the genomic control was applied to the overall meta-analysis results and the results filtered to where there was data available for at least 8 participating cohorts for any given SNP."
  2. Access Restriction(s)
    Please acknowledge the data source and cite the related publication
  3. Used by
    Voight Laboratory
  4. Data Input
    Childhood obesity association summary data
  5. Topic
    Homo sapiens
  6. Topic
  7. Related Publication or Documentation
    A genome-wide association meta-analysis identifies new childhood obesity loci
  8. Website(s)
  9. Related Technique
    SNP genotyping assay
  10. Developed by
    Early Growth Genetics Consortium
  11. Part of Collection
    EGG consortium association summary statistics
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Copyright © 2016 by the President and Fellows of Harvard College
The eagle-i Consortium is supported by NIH Grant #5U24RR029825-02 / Copyright 2016