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胎儿多基因生长得分和怀孕年龄大出生体重的风险在nulliparas:对前性队列研究的二次分析

Maha Aamir¹, Maisa Feghali², Lynn Yee³

¹Bioinformatics Research Center, North Carolina State University, Raleigh, NC.

medRxiv : the preprint server for health sciences

|November 24, 2025

概括

多基因生长分数 (PGS) 可以帮助识别妊娠年龄出生体重较大或较低风险的胎儿. 这种遗传分数可能有助于针对高风险怀孕的有针对性的干预措施,特别是那些患有母亲肥胖症的怀孕.

科学领域:

遗传学是一个遗传学.
产科产科产科产科产科
儿科儿科儿科

背景情况:

对于妊娠年龄 (LGA) 的出生体重很大,对后代造成短期和长期的健康风险.
胎儿遗传学是LGA出生体重风险的一个潜在因素.

研究的目的:

评估多基因生长得分 (PGS) 与LGA出生体重风险之间的关联.
为了检查与LGA出生体重风险相关的PGS,孕产妇血糖和体重指数 (BMI) 之间的相互作用.

主要方法:

一个前性的多中心队列研究的二次分析.
婴儿的基因型 (n=3865) 和计算LGA出生体重的先前开发的PGS.
使用ANOVA,Chi-squared测试和正规化的线性模型进行统计评估,以评估PGS第三种动物,母体BMI和血糖与LGA风险之间的关系.

主要成果:

低的PGS (第一三位数) 与LGA风险降低有关 (OR 0.71),而高的PGS (第三三位数) 与LGA风险增加有关 (OR 1.29).
孕产妇的BMI与LGA风险的关联比孕产妇的血糖水平更强.
增加的母体BMI (≥35 kg/m2) 与更高的PGS (第二或第三位) 结合起来,显著增加了LGA出生体重的几率.

结论:

在不同的美国队列中,PGS提供了适度的能力来识别LGA出生体重的不同风险的胎儿.
在BMI≥35kg/m2的个体中,PGS在识别患有风险增加的胎儿方面可能特别有用,这可能有助于指导针对性的干预措施,如改变生活方式.

关键词:

对于妊娠年龄来说很大,出生时的体重很大.孕期糖尿病孕期糖尿病肥胖肥胖肥胖肥胖肥胖肥胖肥胖肥胖多基因生长得分多基因生长得分怀孕怀孕怀孕怀孕怀孕

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