Association of protein function-altering variants with cardiometabolic traits: the strong heart study.
Association of protein function-altering variants with cardiometabolic traits: the strong heart study.
复制标题
DOI:
10.1038/s41598-022-12866-2
复制
发表时间:
2022-06-04
影响因子:
4.6
通讯作者:
中科院分区:
文献类型:
--
作者:
Clinical and biomarker phenotypic associations for carriers of protein function-altering variants may help to elucidate gene function and health effects in populations. We genotyped 1127 Strong Heart Family Study participants for protein function-altering single nucleotide variants (SNV) and indels selected from a low coverage whole exome sequencing of American Indians. We tested the association of each SNV/indel with 35 cardiometabolic traits. Among 1206 variants (average minor allele count = 20, range of 1 to 1064), ~ 43% were not present in publicly available repositories. We identified seven SNV-trait significant associations including a missense SNV at ABCA10 (rs779392624, p = 8 × 10–9) associated with fasting triglycerides, which gene product is involved in macrophage lipid homeostasis. Among non-diabetic individuals, missense SNVs at four genes were associated with fasting insulin adjusted for BMI (PHIL, chr6:79,650,711, p = 2.1 × 10–6; TRPM3, rs760461668, p = 5 × 10–8; SPTY2D1, rs756851199, p = 1.6 × 10–8; and TSPO, rs566547284, p = 2.4 × 10–6). PHIL encoded protein is involved in pancreatic β-cell proliferation and survival, and TRPM3 protein mediates calcium signaling in pancreatic β-cells in response to glucose. A genetic risk score combining increasing insulin risk alleles of these four genes was associated with 53% (95% confidence interval 1.09, 2.15) increased odds of incident diabetes and 83% (95% confidence interval 1.35, 2.48) increased odds of impaired fasting glucose at follow-up. Our study uncovered novel gene-trait associations through the study of protein-coding variants and demonstrates the advantages of association screenings targeting diverse and high-risk populations to study variants absent in publicly available repositories.
登录
查看更多内容
DOI:
10.1126/science.1215040
发表时间:
2012-02-17
期刊:
Science (New York, N.Y.)
影响因子:
--
作者:
MacArthur DG;Balasubramanian S;Frankish A;Huang N;Morris J;Walter K;Jostins L;Habegger L;Pickrell JK;Montgomery SB;Albers CA;Zhang ZD;Conrad DF;Lunter G;Zheng H;Ayub Q;DePristo MA;Banks E;Hu M;Handsaker RE;Rosenfeld JA;Fromer M;Jin M;Mu XJ;Khurana E;Ye K;Kay M;Saunders GI;Suner MM;Hunt T;Barnes IH;Amid C;Carvalho-Silva DR;Bignell AH;Snow C;Yngvadottir B;Bumpstead S;Cooper DN;Xue Y;Romero IG;1000 Genomes Project Consortium;Wang J;Li Y;Gibbs RA;McCarroll SA;Dermitzakis ET;Pritchard JK;Barrett JC;Harrow J;Hurles ME;Gerstein MB;Tyler-Smith C
通讯作者:
Tyler-Smith C
影响因子:
5.3
作者:
Li MX;Yeung JM;Cherny SS;Sham PC
通讯作者:
Sham PC
影响因子:
4
作者:
Liu X;White S;Peng B;Johnson AD;Brody JA;Li AH;Huang Z;Carroll A;Wei P;Gibbs R;Klein RJ;Boerwinkle E
通讯作者:
Boerwinkle E
影响因子:
3.5
作者:
Li S;Francisco AB;Han C;Pattabiraman S;Foote MR;Giesy SL;Wang C;Schimenti JC;Boisclair YR;Long Q
通讯作者:
Long Q
DOI:
10.1016/j.bbagen.2018.01.002
发表时间:
2018-04-01
影响因子:
3
作者:
Nadanaka, Satomi;Kitagawa, Hiroshi
通讯作者:
Kitagawa, Hiroshi