Litcius/Paper detail

Integrating Mouse and Human Genetic Data to Move beyond GWAS and Identify Causal Genes in Cholesterol Metabolism

Zhonggang Li, James A. Votava, Gregory J. M. Zajac, Jenny N. Nguyen, Fernanda B. Leyva Jaimes, Sophia Ly, Jacqueline A. Brinkman, Marco De Giorgi, Sushma Kaul, Cara L. Green, Samantha L. St. Clair, Sabrina L. Belisle, Julia M. Rios, David Nelson, Mary G. Sorci‐Thomas, William R. Lagor, Dudley W. Lamming, Chi–Liang Eric Yen, Brian W. Parks

2020Cell Metabolism50 citationsDOIOpen Access PDF

Topics & Concepts

Genome-wide association studyBiologyGeneGenetic associationLipid metabolismPhenotypeGeneticsComputational biologySingle-nucleotide polymorphismBiochemistryGenotypeGenetic Associations and EpidemiologyPeroxisome Proliferator-Activated ReceptorsLipid metabolism and biosynthesis
Integrating Mouse and Human Genetic Data to Move beyond GWAS and Identify Causal Genes in Cholesterol Metabolism | Litcius