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cLD: Rare-variant linkage disequilibrium between genomic regions identifies novel genomic interactions

  • Dinghao Wang
  • , Deshan Perera
  • , Jingni He
  • , Chen Cao
  • , Pathum Kossinna
  • , Qing Li
  • , William Zhang
  • , Xingyi Guo
  • , Alexander Platt
  • , Jingjing Wu
  • , Qingrun Zhang

Research output: Contribution to journalArticleResearchpeer-review

Abstract

Linkage disequilibrium (LD) is a fundamental concept in genetics; critical for studying genetic associations and molecular evolution. However, LD measurements are only reliable for common genetic variants, leaving low-frequency variants unanalyzed. In this work, we introduce cumulative LD (cLD), a stable statistic that captures the rare-variant LD between genetic regions, which reflects more biological interactions between variants, in addition to lack of recombination. We derived the theoretical variance of cLD using delta methods to demonstrate its higher stability than LD for rare variants. This property is also verified by bootstrapped simulations using real data. In application, we find cLD reveals an increased genetic association between genes in 3D chromatin interactions, a phenomenon recently reported negatively by calculating standard LD between common variants. Additionally, we show that cLD is higher between gene pairs reported in interaction databases, identifies unreported protein-protein interactions, and reveals interacting genes distinguishing case/ control samples in association studies.

Original languageEnglish
Article numbere1011074
Number of pages21
JournalPLoS Genetics
Volume19
Issue number12
DOIs
Publication statusPublished - 18 Dec 2023
Externally publishedYes

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

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