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Exploiting single-cell quantitative data to map genetic variants having probabilistic effects

2016-02-18

Abstract excerpt

<h4>ABSTRACT</h4> 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...

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Literature Corpus work
5629e7ac-f0b6-5b7e-9d08-cb0e487473c9
DOI
10.1101/040113
Open publication

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Exploiting single-cell quantitative data to map genetic variants having probabilistic effectsDOI 10.1101/040113
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