通过使用GnuMoM2bb搜索和可视化怀孕特征的遗传关联
medRxiv : the preprint server for health sciences
|June 19, 2023
概括
负面的妊娠结果 (APO) 对母亲的健康构成重大风险. 这项研究利用了479个特征的全基因组关联研究 (GWAS) 来识别与APO的遗传联系,开发了一个分享这些发现的工具.
科学领域:
- 遗传学 是一个遗传学.
- 生殖健康 生殖健康
- 基因组医学是基因组医学.
背景情况:
- 负面的妊娠结果 (APO) 是一个重大的全球健康问题,影响孕期和孕后的母亲福祉.
- 从历史上看,APO的复杂和多样性限制了特定遗传关联的识别.
- 了解APO的遗传基础对于开发有针对性的干预措施和改善孕产妇健康结果至关重要.
研究的目的:
- 进行全面的全基因组关联研究 (GWAS),涉及479种可能与不良妊娠结果 (APO) 相关的特征的广泛范围.
- 开发和介绍一个用户友好的基于Web的工具,GnuMoM2b,用于访问,可视化和共享遗传关联结果.
- 通过分析来自大型多样化的队列的数据,促进发现与APO的新型遗传关联.
主要方法:
- 全基因组关联研究 (GWAS) 针对479个与怀孕相关的特征进行了全基因组关联研究:监测即将成为母亲 (nuMoM2b) 队列.
- 全现象关联研究 (PheWAS) 使用超过1700万个单核酸多态 (SNP) 进行.
- 结果被整合并通过GnuMoM2b网络门户网站提供,包括来自欧洲,非洲和混合美国祖先的数据,以及元分析.
主要成果:
- 该研究使用GWAS确定了479种与怀孕有关的特征的遗传关联.
- GnuMoM2b 工具为 GWAS 和 PheWAS 结果提供了一个可搜索和可视化的平台,包括来自不同祖先的数据.
- 来自多个祖先和元分析的遗传发现可用,提供了怀孕特征的广泛遗传景观.
结论:
- 网页工具GnuMoM2b是研究人员研究不良妊娠结果的遗传基础的重要资源.
- 提交的综合遗传数据有可能加速发现新生物标志物和APO的治疗点.
- 这项工作强调了大型,多元化的队列和可访问的数据平台在推进生殖和基因组医学方面的重要性.
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