对CREBRF错义变体的多变量分析揭示了与波利尼西亚祖先人群肥胖测量的关联

IF 1.7 4区 医学 Q3 GENETICS & HEREDITY
Jerry Z. Zhang, L. W. Heinsberg, Mohanraj Krishnan, N. Hawley, Tanya J. Major, J. Carlson, J. Harré Hindmarsh, H. Watson, Muhammad Qasim, L. Stamp, N. Dalbeth, R. Murphy, Guangyun Sun, Hong Cheng, T. Naseri, M. Reupena, E. Kershaw, R. Deka, S. McGarvey, R. Minster, T. Merriman, D. Weeks
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引用次数: 0

摘要

CREB3调节因子错义变体rs373863828的次要等位基因与波利尼西亚人的几种心脏代谢表型相关。为了更好地了解该变异,我们在萨摩亚队列(n = 1632)、新西兰Aotearoa队列(n = 1419)和联合队列(n = 2976)中使用多变量贝叶斯关联和网络分析测试了rs373863828与一组相关表型(体重指数[BMI]、体重、身高、高密度脂蛋白胆固醇、甘油三酯和总胆固醇)的相关性。在萨摩亚队列(n = 1496)中测试了一组扩展的表型(加上估计的脂肪和无脂肪质量、腹围、臀围和腹臀比)。在萨摩亚队列中,我们观察到rs373863828与总体表型面板(8.81)、体重(8.30)和BMI(6.42)之间存在显著相关性(log10贝叶斯因子[BF]≥5.0)。在Aotearoa新西兰队列中,我们观察到rs373863828与整体表型面板(4.60)、体重(3.27)和BMI(1.80)之间存在提示相关性(1.5 < log10BF < 5)。在联合队列中,我们观察到具有较大log10BFs的一致信号。在萨摩亚特异性扩展表型分析中,我们还观察到rs373863828与脂肪量(5.65)、腹围(5.34)和臀围(5.09)之间存在显著关联。贝叶斯网络提供了rs373863828与体重直接相关,与身高和BMI间接相关的证据。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Multivariate analysis of a missense variant in CREBRF reveals associations with measures of adiposity in people of Polynesian ancestries
The minor allele of rs373863828, a missense variant in CREB3 Regulatory Factor, is associated with several cardiometabolic phenotypes in Polynesian peoples. To better understand the variant, we tested the association of rs373863828 with a panel of correlated phenotypes (body mass index [BMI], weight, height, HDL cholesterol, triglycerides, and total cholesterol) using multivariate Bayesian association and network analyses in a Samoa cohort (n = 1632), Aotearoa New Zealand cohort (n = 1419), and combined cohort (n = 2976). An expanded set of phenotypes (adding estimated fat and fat‐free mass, abdominal circumference, hip circumference, and abdominal‐hip ratio) was tested in the Samoa cohort (n = 1496). In the Samoa cohort, we observed significant associations (log10 Bayes Factor [BF] ≥ 5.0) between rs373863828 and the overall phenotype panel (8.81), weight (8.30), and BMI (6.42). In the Aotearoa New Zealand cohort, we observed suggestive associations (1.5 < log10BF < 5) between rs373863828 and the overall phenotype panel (4.60), weight (3.27), and BMI (1.80). In the combined cohort, we observed concordant signals with larger log10BFs. In the Samoa‐specific expanded phenotype analyses, we also observed significant associations between rs373863828 and fat mass (5.65), abdominal circumference (5.34), and hip circumference (5.09). Bayesian networks provided evidence for a direct association of rs373863828 with weight and indirect associations with height and BMI.
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来源期刊
Genetic Epidemiology
Genetic Epidemiology 医学-公共卫生、环境卫生与职业卫生
CiteScore
4.40
自引率
9.50%
发文量
49
审稿时长
6-12 weeks
期刊介绍: Genetic Epidemiology is a peer-reviewed journal for discussion of research on the genetic causes of the distribution of human traits in families and populations. Emphasis is placed on the relative contribution of genetic and environmental factors to human disease as revealed by genetic, epidemiological, and biologic investigations. Genetic Epidemiology primarily publishes papers in statistical genetics, a research field that is primarily concerned with development of statistical, bioinformatical, and computational models for analyzing genetic data. Incorporation of underlying biology and population genetics into conceptual models is favored. The Journal seeks original articles comprising either applied research or innovative statistical, mathematical, computational, or genomic methodologies that advance studies in genetic epidemiology. Other types of reports are encouraged, such as letters to the editor, topic reviews, and perspectives from other fields of research that will likely enrich the field of genetic epidemiology.
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