2023
DOI: 10.1016/j.ajhg.2023.08.009
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Integration of genetic fine-mapping and multi-omics data reveals candidate effector genes for hypertension

Stefan van Duijvenboden,
Julia Ramírez,
William J. Young
et al.
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Cited by 6 publications
(1 citation statement)
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“…The transition from identifying genetic variants associated with diseases through GWAS to understanding their functional impacts presents a significant challenge, especially as most GWAS variants are located in the genome's noncoding regions. Munroe's team 4 has highlighted a path forward by integrating diverse data sets-including mouse models, human genetic disorders, gene expression profiles, tissue-specific gene abundance, and extensive literature reviews-to nominate 436 blood pressure candidate genes for functional validation. This validation process is essential for bridging the gap between genetic discovery and clinical application.…”
Section: Functional Validation Of Gwas-identified Variantsmentioning
confidence: 99%
“…The transition from identifying genetic variants associated with diseases through GWAS to understanding their functional impacts presents a significant challenge, especially as most GWAS variants are located in the genome's noncoding regions. Munroe's team 4 has highlighted a path forward by integrating diverse data sets-including mouse models, human genetic disorders, gene expression profiles, tissue-specific gene abundance, and extensive literature reviews-to nominate 436 blood pressure candidate genes for functional validation. This validation process is essential for bridging the gap between genetic discovery and clinical application.…”
Section: Functional Validation Of Gwas-identified Variantsmentioning
confidence: 99%