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

Abstract

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… (More)
DOI: 10.1371/journal.pgen.1006213

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