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Article

A computational approach for detecting physiological homogeneity in the midst of genetic heterogeneity.

American journal of human genetics - 3 Jun 2021

Zhang Peng, Cobat Aurélie, Lee Yoon-Seung, Wu Yiming, Bayrak Cigdem Sevim, Boccon-Gibod Clémentine, Matuozzo Daniela, Lorenzo Lazaro, Jain Aayushee, Boucherit Soraya, Vallée Louis, Stüve Burkhard, Chabrier Stéphane, Casanova Jean-Laurent, Abel Laurent, Zhang Shen-Ying, Itan Yuval

Abstract excerpt

The human genetic dissection of clinical phenotypes is complicated by genetic heterogeneity. Gene burden approaches that detect genetic signals in case-control studies are underpowered in genetically heterogeneous cohorts. We therefore developed a genome-wide computational method, network-based heterogeneity clustering (NHC), to detect physiological homogeneity in the midst of genetic heterogeneity. Simulation...

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Identifiers

PMID: 34015270
DOI: 10.1016/j.ajhg.2021.04.023
PMCID: PMC8206396

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PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-08.1.

Source receipt: pubmed, retrieved 7 Sept 2026.

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