PLoS GeneticsBioinformaticsPeer-reviewed journal article
cLD: Rare-variant disequilibrium between genomic regions identifies novel genomic interactions
Dinghao WangiD, Jingni HeiD, Deshan PereraiD, Chen CaoiD, Pathum KossinnaiD, Qing LiiD, William ZhangiD, Xingyi GuoiD, Alexander PlattiD, Jingjing WuiD, Qingrun ZhangiD
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.
- assay: GWAS summary statistics
- research focus: gene regulatory network inference
- research focus: differential expression
- research focus: protein structure prediction
- research focus: drug response / drug discovery
- approach: statistical model
- Citations
- 6
- FWCI
- 0.99
- Field percentile
- top 25%
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