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GPC GWAS: Harmonized neuroticism and extraversion summary statistics

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Resource Type

  1. Database


  1. Resource Description
    "In the second phase of the project, we conducted a meta-analysis of GWAS in 29 discovery cohorts (N=63661) and 1 replication cohort (N=9786) for two harmonized personality traits: Neuroticism and Extraversion. Personality item data from 9 different inventories were harmonized by applying Item Response Theory (IRT). This was followed by a meta-analysis of GWAS results for the harmonized Neuroticism and Extraversion scores. 1000G build 37 phase 1 v3 was used as a reference panel to impute missing genotypes in cohorts. Results of the meta-analysis are available under GPC-2. Please carefully read the ReadmeGPC-2.pdf file when downloading the data. If data end up in a scientific publication (e.g. scientific article, presentation at meeting), please make sure you cite the appropriate publications (see under References)."
  2. Access Restriction(s)
    Please cite the related publication
  3. Used by
    Voight Laboratory
  4. Data Input
    Neuroticism association summary statistics
  5. Data Input
    Extraversion association summary statistics
  6. Topic
    Homo sapiens
  7. Topic
  8. Related Publication or Documentation
    Meta-analysis of Genome-wide Association Studies for Neuroticism, and the Polygenic Association With Major Depressive Disorder
  9. Related Publication or Documentation
    Harmonization of Neuroticism and Extraversion phenotypes across inventories and cohorts in the Genetics of Personality Consortium: an application of Item Response Theory
  10. Related Publication or Documentation
    Meta-analysis of Genome-Wide Association Studies for Extraversion: Findings from the Genetics of Personality Consortium
  11. Website(s)
  12. Related Technique
    SNP genotyping assay
  13. Developed by
    Genetics of Personality Consortium
  14. Part of Collection
    GPC 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