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Article

Exploiting Single-Cell Quantitative Data to Map Genetic Variants Having Probabilistic Effects.

PLoS genetics - 1 Aug 2016

Chuffart Florent, Richard Magali, Jost Daniel, Burny Claire, Duplus-Bottin Hélène, Ohya Yoshikazu, Yvert Gaël

Abstract excerpt

Despite the recent progress in sequencing technologies, genome-wide association studies (GWAS) remain limited by a statistical-power issue: many polymorphisms contribute little to common trait variation and therefore escape detection. The small contribution sometimes corresponds to incomplete penetrance, which may result from probabilistic effects on molecular regulations. In such cases, genetic mapping may...

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Identifiers

PMID: 27479122
DOI: 10.1371/journal.pgen.1006213
PMCID: PMC4968810

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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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