
eQTL mapping using allele-specific count data is computationally feasible, powerful, and provides individual-specific estimates of genetic effects
Author(s) -
Vasyl Zhabotynsky,
Licai Huang,
Paul Little,
YiJuan Hu,
Fernando Pardo-Manuel de Villena,
Fei Zou,
Wei Sun
Publication year - 2022
Publication title -
carolina digital repository (university of north carolina at chapel hill)
Language(s) - English
DOI - 10.17615/ynw8-tw58
Subject(s) - computational biology , expression quantitative trait loci , count data , allele , biology , computer science , genetics , mathematics , statistics , gene , genotype , single nucleotide polymorphism , poisson distribution