Document Type

Article

Language

eng

Publication Date

4-25-2019

Publisher

American Society of Hematology

Source Publication

Blood

Source ISSN

0006-4971

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 FGF6variants 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.

Comments

Accepted version. Blood, Vol. 133, No. 17 (April 25 2019) : 1888-1898. DOI. © 2019 American Society of Hematology. Used with permission.

Mehdi Maadooliat was also affiliated with Marshfield Clinic Research Institute at the time of publication.

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