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LD Score Regression

Definition
AI-generated

LD score regression (LDSC) regresses GWAS χ² statistics on LD scores; its intercept quantifies inflation deviating from polygenic signal, and its slope relates to SNP heritability.

Topics
Post-GWAS
Related
Genetic Correlation Genomic Inflation Factor GWAS Summary Statistics

Why it matters in GWAS

LDSC separates population stratification from polygenic architecture without individual-level genotypes and is widely used for h² SNP, r_g, and as QC for meta-analyzed summary stats.

Example usage

"The analysis framework includes LD Score Regression to quantify evidence and compare competing hypotheses."

Genetic Correlation Genomic Inflation Factor GWAS Summary Statistics Heritability Horizontal Pleiotropy (MR) LD Score Linkage Disequilibrium (LD) Multi-Trait GWAS Pleiotropy
Related-term network

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Node order. The current term is first. Next come every page linked from Related terms, in the same top-to-bottom order as that list. Then new terms appear in two-hop layers: for each of those direct neighbors (in that same order), their related terms are appended if not already listed. A third pass does the same for two-hop nodes. The walk stops when a fixed maximum number of nodes is reached.

References

  • Bulik-Sullivan BK, et al. (2015). LD Score regression distinguishes confounding from polygenicity in genome-wide association studies. Nat Genet.
  • GWASTutorial: LD score regression by LDSC.
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