Whole-exome sequencing reveals damaging gene variants associated with hypoalphalipoproteinemia.
Whole-exome sequencing reveals damaging gene variants associated with hypoalphalipoproteinemia.
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DOI:
10.1016/j.jlr.2022.100209
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发表时间:
2022-06
影响因子:
6.5
通讯作者:
Pullinger CR
中科院分区:
文献类型:
--
作者:
Dong W;Wong KHY;Liu Y;Levy-Sakin M;Hung WC;Li M;Li B;Jin SC;Choi J;Lopez-Giraldez F;Vaka D;Poon A;Chu C;Lao R;Balamir M;Movsesyan I;Malloy MJ;Zhao H;Kwok PY;Kane JP;Lifton RP;Pullinger CR
Low levels of high density lipoprotein-cholesterol (HDL-C) are associated with an elevated risk of arteriosclerotic coronary heart disease. Heritability of HDL-C levels is high. In this research discovery study, we used whole-exome sequencing to identify damaging gene variants that may play significant roles in determining HDL-C levels. We studied 204 individuals with a mean HDL-C level of 27.8 ± 6.4 mg/dl (range: 4–36 mg/dl). Data were analyzed by statistical gene burden testing and by filtering against candidate gene lists. We found 120 occurrences of probably damaging variants (116 heterozygous; four homozygous) among 45 of 104 recognized HDL candidate genes. Those with the highest prevalence of damaging variants were ABCA1 (n = 20), STAB1 (n = 9), OSBPL1A (n = 8), CPS1 (n = 8), CD36 (n = 7), LRP1 (n = 6), ABCA8 (n = 6), GOT2 (n = 5), AMPD3 (n = 5), WWOX (n = 4), and IRS1 (n = 4). Binomial analysis for damaging missense or loss-of-function variants identified the ABCA1 and LDLR genes at genome-wide significance. In conclusion, whole-exome sequencing of individuals with low HDL-C showed the burden of damaging rare variants in the ABCA1 and LDLR genes is particularly high and revealed numerous occurrences in HDL candidate genes, including many genes identified in genome-wide association study reports. Many of these genes are involved in cancer biology, which accords with epidemiologic findings of the association of HDL deficiency with increased risk of cancer, thus presenting a new area of interest in HDL genomics.
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影响因子:
64.5
作者:
Cancer Genome Atlas Research Network. Electronic address: wheeler@bcm.edu;Cancer Genome Atlas Research Network
通讯作者:
Cancer Genome Atlas Research Network
影响因子:
64.8
作者:
Blaho VA;Galvani S;Engelbrecht E;Liu C;Swendeman SL;Kono M;Proia RL;Steinman L;Han MH;Hla T
通讯作者:
Hla T
影响因子:
4.4
作者:
Gregg, Richard E.;Wetterau, John R.
通讯作者:
Wetterau, John R.
影响因子:
4.6
作者:
Christensen PM;Bosteen MH;Hajny S;Nielsen LB;Christoffersen C
通讯作者:
Christoffersen C
影响因子:
5.8
作者:
Haase, Christiane L.;Tybjaerg-Hansen, Anne;Frikke-Schmidt, Ruth
通讯作者:
Frikke-Schmidt, Ruth