广州出生队列基因组学研究
编号:1 访问权限:仅限参会人 更新:2022-07-01 13:31:53 浏览:157次 口头报告

报告开始:暂无开始时间(Asia/Shanghai)

报告时间:暂无持续时间

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摘要
Large-scale birth cohorts that recruit trios/duos families are essential resource to enable strategies for determining the environmental and genetic contribution to maternal-infant’s health. However, genomic study based on birth cohorts is still lacking among the Chinese and even the East Asian population. Here, we presented the Phase I genomic study of the Born in Guangzhou Cohort Study (BIGCS) where we conducted whole genome sequencing(~6.63x) and analysis of 4,053 Chinese participants. We detected 56.23 million high-quality genomic variants, 32% are novel in the globe and constructed a reference panel with 4,490 haplotypes that enables more accurate genotype imputation for Chinese population. We characterized the population genetic structure of BIGCS and dissect the genetic relationship of 10 Chinese dialects for the first time. We investigated and compared genomewide associations for multiple complex maternal and infant traits, revealing novel genetic associations with total bile acid, gestational weight gain and lipid metabolism level in maternal peripheral or fetal cord blood. Using an inter-generational mendelian randomization method, we dissected the maternal and fetal genetic effect underlying the associations between maternal phenotypes and fetal growth.
Our findings fill the gap of the missing diversity in human genetics and demonstrate the great value of genomic study of birth cohort in advancing the worldwide maternal-infant health and genetic knowledge.
关键词
基因组学大数据;母婴遗传学;全基因组关联研究;群体遗传学;因果推断
报告人
黄树嘉
副研究员 广州市妇女儿童医疗中心

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重要日期
  • 会议日期

    07月22日

    2022

    07月25日

    2022

  • 06月15日 2022

    初稿截稿日期

  • 07月05日 2022

    提前注册日期

  • 08月01日 2022

    注册截止日期

主办单位
中国生物工程学会计算生物学与生物信息学专业委员会
中山大学中山眼科中心
中山大学医学院
南方医科大学
承办单位
中山大学中山眼科中心
中山大学医学院
南方医科大学
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