LIPA, a risk locus for coronary artery disease: decoding the variant-to-function relationship
European Heart Journal

Abstract
Translating human genomic discoveries into mechanistic insights requires linking genetic variations to candidate genes and their causal functional phenotypes. Genome-wide association studies have consistently identified
Post-genome-wide association study pipelines and molecular biology techniques, including expression quantitative trait loci analysis, Tri-HiC, luciferase assay, CRISPRi, allele-specific binding, motif analysis, and electrophoretic mobility shift assay, were used to link functional variants to target genes and define the direction of their regulatory effects in causal cell types. To determine how increased myeloid LIPA impacts atherosclerosis, myeloid-specific
Coronary artery disease–risk alleles in the
The work establishes a direct causal link between
Contributors

Fang Li
Author

Elise Flynn
Author

Philip Ha
Author

Mazal N Zebak
Author

Haoxiang Cheng
Author

Chenyi Xue
Author

Jianting Shi
Author

Xun Wu
Author

Ziyi Wang
Author

Yujiao Meng
Author

Jian Cui
Author

Yizhou Zhu
Author

Annie Rozenblyum
Author

Jeana Chun
Author

Antonio Hernandez-Ono
Author

Ali Javaheri
Author

Babak Razani
Author

Robert C Bauer
Author

Yousin Suh
Author

Ke Hao
Author

Tuuli Lappalainen
Author

Hanrui Zhang
Author
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