| Literature DB >> 30814063 |
Shicheng Guo1, Shuai Jiang2,3, Narendranath Epperla4, Yanyun Ma2,3, Mehdi Maadooliat1,5, Zhan Ye6, Brent Olson6, Minghua Wang7, Terrie Kitchner1, Jeffrey Joyce1, Peng An8, Fudi Wang9, Robert Strenn6, Joseph J Mazza10, Jennifer K Meece11, Wenyu Wu12, Li Jin2,3, Judith A Smith13, Jiucun Wang2,3,14, Steven J Schrodi1,15.
Abstract
Standard analyses applied to genome-wide association data are well designed to detect additive effects of moderate strength. However, the power for standard genome-wide association study (GWAS) analyses to identify effects from recessive diplotypes is not typically high. We proposed and conducted a gene-based compound heterozygosity test to reveal additional genes underlying complex diseases. With this approach applied to iron overload, a strong association signal was identified between the fibroblast growth factor-encoding gene, FGF6, and hemochromatosis in the central Wisconsin population. Functional validation showed that fibroblast growth factor 6 protein (FGF-6) regulates iron homeostasis and induces transcriptional regulation of hepcidin. Moreover, specific identified FGF6 variants differentially impact iron metabolism. In addition, FGF6 downregulation correlated with iron-metabolism dysfunction in systemic sclerosis and cancer cells. Using the recessive diplotype approach revealed a novel susceptibility hemochromatosis gene and has extended our understanding of the mechanisms involved in iron metabolism.Entities:
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Year: 2019 PMID: 30814063 PMCID: PMC6484389 DOI: 10.1182/blood-2018-10-879585
Source DB: PubMed Journal: Blood ISSN: 0006-4971 Impact factor: 22.113