Gina M Peloso1, Leslie A Lange2, Tibor V Varga2, Deborah A Nickerson2, Joshua D Smith2, Michael E Griswold2, Solomon Musani2, Linda M Polfus2, Hao Mei2, Stacey Gabriel2, Rakale Collins Quarells2, David Altshuler2, Eric Boerwinkle2, Mark J Daly2, Benjamin Neale2, Adolfo Correa2, Alex P Reiner2, James G Wilson2, Sekar Kathiresan1. 1. From the Department of Biostatistics, Boston University School of Public Health, Boston, MA (G.M.P.); Center for Human Genetic Research (G.M.P., S.K.) and Analytic and Translational Genetics Unit, Massachusetts General Hospital, Boston, MA (M.J.D., B.N.); Program in Medical and Population Genetics, Broad Institute, Cambridge, MA (G.M.P., S.G., D.A., M.J.D., B.N., S.K.); Department of Genetics, University of North Carolina, Chapel Hill, NC (L.A.L.); Genetic and Molecular Epidemiology Unit, Department of Clinical Sciences, Lund University, Malmö, Sweden (T.V.V.); Department of Genome Sciences, University of Washington, Seattle, WA (D.A.N., J.D.S.); Center of Biostatistics & Bioinformatics (M.E.G., H.M.), Department of Medicine (S.M.), Department of Pediatrics & Medicine (A.C.), and Department of Physiology & Biophysics (J.G.W.), University of Mississippi Medical Center, Jackson, MS; Human Genetics Center, University of Texas Health Science Center, Houston, TX (L.M.P., E.B.); Cardiovascular Research Institute, Morehouse School of Medicine, Atlanta, GA (R.C.Q.); Department of Medicine, Harvard Medical School, Boston, MA (D.A., S.K.); and Department of Epidemiology, University of Washington School of Public Health, Seattle, WA (A.P.R.). gpeloso@bu.edu skathiresan@partners.org. 2. From the Department of Biostatistics, Boston University School of Public Health, Boston, MA (G.M.P.); Center for Human Genetic Research (G.M.P., S.K.) and Analytic and Translational Genetics Unit, Massachusetts General Hospital, Boston, MA (M.J.D., B.N.); Program in Medical and Population Genetics, Broad Institute, Cambridge, MA (G.M.P., S.G., D.A., M.J.D., B.N., S.K.); Department of Genetics, University of North Carolina, Chapel Hill, NC (L.A.L.); Genetic and Molecular Epidemiology Unit, Department of Clinical Sciences, Lund University, Malmö, Sweden (T.V.V.); Department of Genome Sciences, University of Washington, Seattle, WA (D.A.N., J.D.S.); Center of Biostatistics & Bioinformatics (M.E.G., H.M.), Department of Medicine (S.M.), Department of Pediatrics & Medicine (A.C.), and Department of Physiology & Biophysics (J.G.W.), University of Mississippi Medical Center, Jackson, MS; Human Genetics Center, University of Texas Health Science Center, Houston, TX (L.M.P., E.B.); Cardiovascular Research Institute, Morehouse School of Medicine, Atlanta, GA (R.C.Q.); Department of Medicine, Harvard Medical School, Boston, MA (D.A., S.K.); and Department of Epidemiology, University of Washington School of Public Health, Seattle, WA (A.P.R.).
Abstract
BACKGROUND: The correlation of null alleles with human phenotypes can provide insight into gene function in humans. In individuals of African ancestry, we set out to identify null and damaging missense variants, and test these variants for association with a range of cardiovascular phenotypes. METHODS AND RESULTS: We performed whole-exome sequencing in 3223 black individuals from the Jackson Heart Study and found a total of 729 666 variant sites with minor allele frequency <5%, including 17 263 null variants and 49 929 missense variants predicted to be damaging by in silico algorithms. We tested null and damaging missense variants within each gene for association with 36 cardiovascular traits. We found 3 associations that met our prespecified level of significance (α=1.1×10(-7)). Null and damaging missense variants in PCSK9 were associated with 36 mg/dL lower low-density lipoprotein cholesterol (P=3×10(-21)). Three individuals in their 50s with complete PCSK9 deficiency (each compound heterozygote for PCSK9 p.Y142X and p.C679X) were identified, with one having a coronary artery calcification score in the 83rd percentile despite a low-density lipoprotein cholesterol of 32 mg/dL. A damaging missense variant in HBQ1 (p.G52A) was associated with a 2 pg/cell lower mean corpuscular hemoglobin (P=9×10(-13)) and rare damaging missense variants in VPS13A with higher red blood cell distribution width (P=9.9×10(-8)). CONCLUSIONS: A limited number of null/damaging alleles with a large effect on cardiovascular traits were detectable in ≈3000 black individuals.
BACKGROUND: The correlation of null alleles with human phenotypes can provide insight into gene function in humans. In individuals of African ancestry, we set out to identify null and damaging missense variants, and test these variants for association with a range of cardiovascular phenotypes. METHODS AND RESULTS: We performed whole-exome sequencing in 3223 black individuals from the Jackson Heart Study and found a total of 729 666 variant sites with minor allele frequency <5%, including 17 263 null variants and 49 929 missense variants predicted to be damaging by in silico algorithms. We tested null and damaging missense variants within each gene for association with 36 cardiovascular traits. We found 3 associations that met our prespecified level of significance (α=1.1×10(-7)). Null and damaging missense variants in PCSK9 were associated with 36 mg/dL lower low-density lipoprotein cholesterol (P=3×10(-21)). Three individuals in their 50s with complete PCSK9 deficiency (each compound heterozygote for PCSK9p.Y142X and p.C679X) were identified, with one having a coronary artery calcification score in the 83rd percentile despite a low-density lipoprotein cholesterol of 32 mg/dL. A damaging missense variant in HBQ1 (p.G52A) was associated with a 2 pg/cell lower mean corpuscular hemoglobin (P=9×10(-13)) and rare damaging missense variants in VPS13A with higher red blood cell distribution width (P=9.9×10(-8)). CONCLUSIONS: A limited number of null/damaging alleles with a large effect on cardiovascular traits were detectable in ≈3000 black individuals.
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