Article
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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Identifiers and source
- Literature Corpus work
- 5629e7ac-f0b6-5b7e-9d08-cb0e487473c9
- DOI
- 10.1101/040113
