LD Hub: a centralized database and web interface to perform LD score regression that maximizes the potential of summary level GWAS data for SNP heritability and …
J Zheng, AM Erzurumluoglu, BL Elsworth… - …, 2017 - academic.oup.com
Motivation LD score regression is a reliable and efficient method of using genome-wide
association study (GWAS) summary-level results data to estimate the SNP heritability of
complex traits and diseases, partition this heritability into functional categories, and estimate
the genetic correlation between different phenotypes. Because the method relies on
summary level results data, LD score regression is computationally tractable even for very
large sample sizes. However, publicly available GWAS summary-level data are typically …
association study (GWAS) summary-level results data to estimate the SNP heritability of
complex traits and diseases, partition this heritability into functional categories, and estimate
the genetic correlation between different phenotypes. Because the method relies on
summary level results data, LD score regression is computationally tractable even for very
large sample sizes. However, publicly available GWAS summary-level data are typically …
[PDF][PDF] LD Hub: a centralized database and web interface to perform LD score regression that maximizes the potential of summary level GWAS data for SNP heritability …
HK Warrington, AL Price, BK Bulik-Sullivan, V Anttila… - scholar.archive.org
Motivation: LD score regression is a reliable and efficient method of using genome-wide
association study (GWAS) summary-level results data to estimate the SNP heritability of
complex traits and diseases, partition this heritability into functional categories, and estimate
the genetic correlation between different phenotypes. Because the method relies on
summary level results data, LD score regression is computationally tractable even for very
large sample sizes. However, publicly available GWAS summary-level data are typically …
association study (GWAS) summary-level results data to estimate the SNP heritability of
complex traits and diseases, partition this heritability into functional categories, and estimate
the genetic correlation between different phenotypes. Because the method relies on
summary level results data, LD score regression is computationally tractable even for very
large sample sizes. However, publicly available GWAS summary-level data are typically …
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