Preprint · not peer-reviewed Researchers Educators

Preprint argues LDSC intercept must be fixed to 1 for accurate SNP-heritability estimates

A bioRxiv preprint challenges a core assumption of LD Score Regression, the field's most widely used tool for estimating whole-genome SNP heritability from GWAS summary statistics.

Published · AI-drafted summary based on 1 public source
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LD Score Regression (LDSC) has become a standard method for estimating whole-genome SNP heritability and genetic correlation from genome-wide association study (GWAS) summary statistics, without requiring access to individual-level genotype data. The approach regresses GWAS test statistics against linkage-disequilibrium scores; its authors previously argued that a free (estimated) intercept in this regression absorbs confounding from population stratification and other biases.

A preprint posted to bioRxiv on 16 May 2026 challenges that assumption directly. The authors argue, using theoretical derivation and simulation, that the free intercept does not accurately capture population-stratification bias and that fixing the intercept to 1 produces more reliable SNP-heritability estimates. If confirmed after peer review, the finding would have implications for a large body of published GWAS-based heritability and genetic-correlation estimates that used the default free-intercept parameterisation.

The preprint has not yet undergone peer review. The authorship and institutional affiliations are not specified in the available lede; readers seeking full methodological detail should consult the bioRxiv record directly. Statistical geneticists and GWAS analysts are the primary audience for evaluating the technical claims; the work is at the methodological research stage and carries no direct clinical implications.

Sources

Read the original reporting — these are the public sources this summary draws from.

  1. Primary sourcePreprint bioRxiv (Cold Spring Harbor Laboratory) · 2026-05-16
    When can whole-genome SNP heritability be reliably estimated from summary statistics?

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ldsc snp-heritability gwas statistical-genetics ld-score-regression population-stratification
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Genetic Current is the news section of Evagene, an academic, research, and educational pedigree-modelling platform. Stories are AI-drafted summaries of items from trusted public sources, written for researchers, clinicians, educators, students, genealogists, and patients with an interest in genetics. Summaries are for educational and research purposes only and are not medical advice.

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