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Preprint identifies geometric basis for disagreements between standard linkage disequilibrium measures

Using a Fisher geometry framework, researchers show that conventional LD measures such as r² perform poorly in asymmetric, rare-common haplotype configurations — with implications for fine-mapping and population genetics.

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Linkage disequilibrium (LD) — the non-random association between alleles at different positions in the genome — underpins a wide range of statistical genetics methods, including genome-wide association study fine-mapping, imputation, and haplotype analysis. The most widely used LD metric, r², has known limitations, but the geometric basis for its failures in certain frequency configurations has not been fully characterised.

A preprint posted to bioRxiv applies a Fisher geometry framework to explain why conventional LD measures disagree in what the authors term the "rare–common regime" — configurations where one allele is rare and the other is common, as occurs in nested haplotype structures. The authors demonstrate that r² is both symmetric and quadratic: squaring discards directional (phase) information retained by the signed coefficient D, while symmetric normalisation conceals the asymmetry between the conditional probabilities P(A|B) and P(B|A). They propose that these geometric properties cause r² to misrepresent LD structure in precisely the configurations most relevant to identifying causal variants in association studies.

The work is directly relevant to researchers working on fine-mapping methods, haplotype analysis, and the interpretation of LD patterns across diverse populations. It complements a cluster published in Genetic Current on 2 July 2026 describing a carrier-set topology framework for LD characterisation. As a preprint, the findings have not yet been peer-reviewed.

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  1. Primary sourcePreprint bioRxiv (Cold Spring Harbor Laboratory) · 2026-07-07
    Why linkage disequilibrium measures disagree: Fisher geometry of rare common haplotype structure

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linkage-disequilibrium statistical-genetics haplotype-structure fine-mapping population-genetics fisher-geometry gwas-methods preprint
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About Genetic Current

Educational summaries of public genetics news

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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