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Integrating genomic studies of gestational duration and birth weight to understand maternal and fetal causes of adverse pregnancy outcomes and links with later diseases

Integrating genomic studies of gestational duration and birth weight to understand maternal and fetal causes of adverse pregnancy outcomes and links with later diseases
整合妊娠持续时间和出生体重的基因组研究,以了解不良妊娠结局的母体和胎儿原因以及与以后疾病的联系
批准号:
10642686
负责人:
Rachel Freathy
金额:
$46.63万
依托单位国家:
美国
项目类别:
财政年份:
2021
资助国家:
美国
项目状态:
未结题
起止时间:
2021-05-01 至 2025-04-30

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Project Summary/Abstract Gestational duration and birth weight are primary indicators of pregnancy outcomes. They are associated with perinatal morbidity and mortality and also with childhood and adult disorders. In the past several years, we have made substantial progress in the genomic research of gestational duration and birth weight. First, we conducted large-scale genome-wide association (GWA) studies and identified six maternal genomic loci associated with gestational duration, and 190 maternal or fetal loci associated with birth weight. Second, we developed statistical methods to dissect the maternal and fetal genetic effects on birth outcomes. Third, we have studied the causal relationships between maternal phenotypes and birth outcomes as well as the life course associations between birth outcomes and late onset disorders. Despite these successes, there is a major gap in previous genomic studies – they usually targeted either gestational duration or birth weight separately albeit these two birth outcomes are statistically correlated and biologically related. To bridge this gap, we – the leading investigators who previously focused on either gestational duration or birth weight separately – have committed to work together and integrate the genomic research of gestational duration or birth weight. We propose a novel statistical approach to jointly model the maternal and fetal genetic effects on gestational duration and fetal growth. Specifically, we will 1) use birth weight as a surrogate for gestational duration and leverage UK Biobank birth weight data for more powerful GWA discoveries of genomic loci associated with gestational duration; 2) disentangle and replicate maternal and fetal effects by integrated genomic analysis in mother/infant duos; and 3) integrate genomics and phenomics to resolve the complexity of birth outcomes and their links with late onset diseases. These cohesive study aims transcend conventional GWA studies and the results generated from this study will increase our knowledge of the biology of human birth timing and fetal growth. This study also has the potential to inform preventative and therapeutic measures for preterm birth and adverse pregnancy outcomes.
期刊论文(21)
专著(0)
科研奖励(0)
会议论文
DOI: 10.1186/s12916-023-03167-0
发表时间: 2024-01-29
期刊: BMC MEDICINE
影响因子: 9.3
作者: [Borges, Maria Carolina, Clayton, Gemma L., Freathy, Rachel M., Felix, Janine F., Fernandez-Sanles, Alba, Soares, Ana Goncalves, Kilpi, Fanny, Yang, Qian, Mceachan, Rosemary R. C., Richmond, Rebecca C., Liu, Xueping, Skotte, Line, Irizar, Amaia, Hattersley, Andrew T., Bodinier, Barbara, Scholtens, Denise M., Nohr, Ellen A., Bond, Tom A., Hayes, M. Geoffrey, West, Jane, Tyrrell, Jessica, Wright, John, Bouchard, Luigi, Murcia, Mario, Bustamante, Mariona, Chadeau-Hyam, Marc, Jarvelin, Marjo-Riitta, Vrijheid, Martine, Perron, Patrice, Magnus, Per, Gaillard, Romy, Jaddoe, Vincent W. V., Lowe, William L., Feenstra, Bjarke, Hivert, Marie-France, Sorensen, Thorkild I. A., Haberg, Siri E., Serbert, Sylvain, Magnus, Maria, Lawlor, Deborah A.]
通讯作者: Lawlor, Deborah A.
DOI: 10.1371/journal.pgen.1010494
发表时间: 2022-11
期刊: PLoS genetics
影响因子: 4.5
作者: []
通讯作者:
GSEL: a fast, flexible python package for detecting signatures of diverse evolutionary forces on genomic regions.
GSEL:一种快速,灵活的Python包装,用于检测基因组区域上各种进化力的特征。
DOI: 10.1093/bioinformatics/btad037
发表时间: 2023-01-01
期刊: Bioinformatics (Oxford, England)
影响因子: --
作者: []
通讯作者:
Causal effects of maternal circulating amino acids on offspring birthweight: a Mendelian randomisation study.
母体循环氨基酸对后代出生体重的因果影响:孟德尔随机化研究。
DOI: 10.1016/j.ebiom.2023.104441
发表时间: 2023-02
期刊: EBIOMEDICINE
影响因子: 11.1
作者: [Zhao, Jian, Stewart, Isobel D., Baird, Denis, Mason, Dan, Wright, John, Zheng, Jie, Gaunt, Tom R., Evans, David M., Freathy, Rachel M., Langenberg, Claudia, Warrington, Nicole M., Lawlor, Deborah A., Borges, Maria Carolina]
通讯作者: Borges, Maria Carolina
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