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 genetic correlation analysis.

doi:10.1093/bioinformatics/btw613

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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 genetic correlation analysis.

Bioinformatics (Oxford, England) - 15 Jan 2017

Zheng Jie, Erzurumluoglu A Mesut, Elsworth Benjamin L, Kemp John P, Howe Laurence, Haycock Philip C, Hemani Gibran, Tansey Katherine, Laurin Charles, Pourcain Beate St, Warrington Nicole M, Finucane Hilary K, Price Alkes L, Bulik-Sullivan Brendan K, Anttila Verneri, Paternoster Lavinia, Gaunt Tom R, Evans David M, Neale Benjamin M

Abstract excerpt

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...

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Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

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PMID: 27663502
DOI: 10.1093/bioinformatics/btw613
PMCID: PMC5542030

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