Three linked variants have opposing regulatory effects on isovaleryl-CoA dehydrogenase gene expression

Author:

Brown Elizabeth A12ORCID,Kales Susan3,Boyle Michael James1ORCID,Vitti Joseph12,Kotliar Dylan12,Schaffner Steve2,Tewhey Ryan3,Sabeti Pardis C124

Affiliation:

1. The Department of Organismic and Evolutionary Biology, Harvard University , 26 Oxford Street, Cambridge, MA 02138 , United States

2. Broad Institute of MIT and Harvard , 75 Ames Street, Cambridge, MA 02142 , United States

3. The Jackson Laboratory , 600 Main St, Bar Harbor, ME 04609 , United States

4. Howard Hughes Medical Institute, Harvard University , 26 Oxford Street, Cambridge, MA 02138 , United States

Abstract

Abstract While genome-wide association studies (GWAS) and positive selection scans identify genomic loci driving human phenotypic diversity, functional validation is required to discover the variant(s) responsible. We dissected the IVD gene locus—which encodes the isovaleryl-CoA dehydrogenase enzyme—implicated by selection statistics, multiple GWAS, and clinical genetics as important to function and fitness. We combined luciferase assays, CRISPR/Cas9 genome-editing, massively parallel reporter assays (MPRA), and a deletion tiling MPRA strategy across regulatory loci. We identified three regulatory variants, including an indel, that may underpin GWAS signals for pulmonary fibrosis and testosterone, and that are linked on a positively selected haplotype in the Japanese population. These regulatory variants exhibit synergistic and opposing effects on IVD expression experimentally. Alleles at these variants lie on a haplotype tagged by the variant most strongly associated with IVD expression and metabolites, but with no functional evidence itself. This work demonstrates how comprehensive functional investigation and multiple technologies are needed to discover the true genetic drivers of phenotypic diversity.

Funder

Howard Hughes Medical Institute

National Institutes of Health

Publisher

Oxford University Press (OUP)

Subject

Genetics (clinical),Genetics,Molecular Biology,General Medicine

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