多基因风险评分预测台湾孕妇妊娠期体重增加及妊娠期糖尿病。

IF 2.5 3区 生物学 Q2 GENETICS & HEREDITY
Wen-Ling Liao, Hao-I Hsieh, Ting-Yuan Liu, Hsing-Fang Lu, Yu-Chuen Huang, Ya-Wen Chang, Fuu-Jen Tsai
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引用次数: 0

摘要

妊娠期糖尿病(GDM)是一种常见的妊娠并发症,受孕前超重或肥胖和妊娠期体重增加(GWG)影响。本研究探讨体重指数(BMI)相关基因变异对台湾女性GWG及GDM风险的影响。一项针对3875名孕妇的病例对照研究,其中3162名根据口服葡萄糖耐量试验患有GDM, 2483名患有GWG数据。一项涉及71848名女性的全基因组关联研究确定了BMI相关的遗传变异,并计算了BMI的多基因风险评分(PRS_BMI)。PRS_BMI与GWG呈正相关(R²= 0.010,P
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Polygenic risk score as a tool to predict gestational weight gain and gestational diabetes among pregnant women in Taiwan.

Gestational diabetes mellitus (GDM) is a prevalent pregnancy complication influenced by pre-pregnancy overweight or obese and high gestational weight gain (GWG). This study investigated the impact of body mass index (BMI)-related genetic variants on GWG and GDM risk among Taiwanese women. A case-control study of 3875 pregnant women included 3162 with GDM based on oral glucose tolerance tests and 2483 with GWG data. A genome-wide association study of 71,848 women identified BMI related genetic variants, and a polygenic risk score for BMI (PRS_BMI) was calculated. PRS_BMI was positively associated with GWG (R² = 0.010, P < 0.001). The odds ratio (ORs) for high GWG and GDM per standard deviation increase in PRS_BMI were 2.28 (95% CI = 2.03-2.55, P < 0.001) and 1.34 (95% CI = 1.24-1.45, P < 0.001), respectively. Stratified analyses indicated stronger associations in women with BMI < 25 kg/m², while weaker associations were observed in those with BMI ≥ 25 kg/m². These findings suggest PRS_BMI could be used to identify women at higher risk for excessive GWG and GDM, aiding in early monitoring and targeted risk-reduction strategies.

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来源期刊
Journal of Human Genetics
Journal of Human Genetics 生物-遗传学
CiteScore
7.20
自引率
0.00%
发文量
101
审稿时长
4-8 weeks
期刊介绍: The Journal of Human Genetics is an international journal publishing articles on human genetics, including medical genetics and human genome analysis. It covers all aspects of human genetics, including molecular genetics, clinical genetics, behavioral genetics, immunogenetics, pharmacogenomics, population genetics, functional genomics, epigenetics, genetic counseling and gene therapy. Articles on the following areas are especially welcome: genetic factors of monogenic and complex disorders, genome-wide association studies, genetic epidemiology, cancer genetics, personal genomics, genotype-phenotype relationships and genome diversity.
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