| Literature DB >> 28388432 |
Evanthia E Pashos1, YoSon Park2, Xiao Wang3, Avanthi Raghavan4, Wenli Yang5, Deepti Abbey1, Derek T Peters4, Juan Arbelaez5, Mayda Hernandez1, Nicolas Kuperwasser4, Wenjun Li3, Zhaorui Lian5, Ying Liu5, Wenjian Lv3, Stacey L Lytle-Gabbin1, Dawn H Marchadier1, Peter Rogov6, Jianting Shi5, Katherine J Slovik5, Ioannis M Stylianou1, Li Wang6, Ruilan Yan5, Xiaolan Zhang6, Sekar Kathiresan7, Stephen A Duncan8, Tarjei S Mikkelsen6, Edward E Morrisey9, Daniel J Rader10, Christopher D Brown11, Kiran Musunuru12.
Abstract
Genome-wide association studies have struggled to identify functional genes and variants underlying complex phenotypes. We recruited a multi-ethnic cohort of healthy volunteers (n = 91) and used their tissue to generate induced pluripotent stem cells (iPSCs) and hepatocyte-like cells (HLCs) for genome-wide mapping of expression quantitative trait loci (eQTLs) and allele-specific expression (ASE). We identified many eQTL genes (eGenes) not observed in the comparably sized Genotype-Tissue Expression project's human liver cohort (n = 96). Focusing on blood lipid-associated loci, we performed massively parallel reporter assays to screen candidate functional variants and used genome-edited stem cells, CRISPR interference, and mouse modeling to establish rs2277862-CPNE1, rs10889356-DOCK7, rs10889356-ANGPTL3, and rs10872142-FRK as functional SNP-gene sets. We demonstrated HLC eGenes CPNE1, VKORC1, UBE2L3, and ANGPTL3 and HLC ASE gene ACAA2 to be lipid-functional genes in mouse models. These findings endorse an iPSC-based experimental framework to discover functional variants and genes contributing to complex human traits.Entities:
Keywords: CRISPR; Cas9; expression quantitative trait loci; genetics; genome-wide association studies; genomics; induced pluripotent stem cells
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Year: 2017 PMID: 28388432 PMCID: PMC5476422 DOI: 10.1016/j.stem.2017.03.017
Source DB: PubMed Journal: Cell Stem Cell ISSN: 1875-9777 Impact factor: 24.633