Replication Data for: \"Accounting for statistical non-additive interactions enables the recovery of missing heritability from GWAS summary statistics\"

This repo contains data produced from the manuscript entitled: \"Accounting for statistical non-additive interactions enables the recovery of missing heritability from GWAS summary statistics\". Here, we provide the additive and cis-interaction LD scores used for the real data analyses of 25 well-studied quantitative phenotypes from 349,468 individuals of self-identified European ancestry in the UK Biobank and up to 159,095 individuals in BioBank Japan. Note that for the UK Biobank analysis, LD scores were computed using a reference panel of 489 individuals from the European superpopulation (EUR) of the 1000 Genomes Project. For the analysis of BioBank Japan, In order to analyze data from BioBank Japan, we downloaded publicly available GWAS summary statistics for the 25 traits from http://jenger.riken.jp/en/result. Summary statistics used age, sex, and the first ten principal components as confounders in the initial GWAS study. We then used individuals from the East Asian (EAS) superpopulation from the 1000 Genomes Project Phase 3 to calculate paired LD scores from a reference panel.

本存储库包含来自题为《考虑统计非加性相互作用可从全基因组关联分析（Genome-Wide Association Study, GWAS）汇总统计中恢复缺失遗传力》的手稿所生成的数据。本文提供了用于真实数据分析的加性与顺式相互作用连锁不平衡（Linkage Disequilibrium, LD）得分，分析涉及25种经过充分研究的数量性状，其数据来源包括英国生物样本库（UK Biobank）中349,468名自我报告为欧洲血统的个体，以及日本生物样本库（BioBank Japan）中至多159,095名个体。请注意，针对英国生物样本库的分析，我们使用1000基因组计划欧洲超人群（EUR）的489名个体作为参考面板计算LD得分。针对日本生物样本库的分析，我们从http://jenger.riken.jp/en/result下载了上述25种性状的公开GWAS汇总统计数据。初始全基因组关联分析研究以年龄、性别及前十个主成分作为混杂因素对汇总统计数据进行校正。随后，我们采用1000基因组计划第三阶段的东亚超人群（EAS）个体作为参考面板，计算成对LD得分。