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: CINCINNATI CHILDRENS HOSP MED CTR
• 依托单位国家: 美国
• 财政年份: 2021
• 资助国家: 美国
• 起止时间: 2021-05-01 至 2025-04-30
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10642686
• 关键词: Adult; Biological Markers; Birth; Birth Weight; Child; Childhood; Clinical; Complex; Correlation Studies; DNA; Data; Disease; Dissection; Electronic Health Record; Equation; Etiology; European ancestry; Fetal Growth; Genetic; Genetic Diseases; Genome; Genomics; Gestational surrogate; Health; Human; Human Biology; Infant; Inflammatory; Intervention; Joints; Knowledge; Late-Onset Disorder; Life Cycle Stages; Link; Measures; Methods; Modeling; Molecular; Mothers; Outcome; Pathway Analysis; Pathway interactions; Perinatal mortality demographics; Phenotype; Population Heterogeneity; Pregnancy; Pregnancy Outcome; Premature Birth; Research; Research Personnel; Sample Size; Shapes; Statistical Methods; Testing; Therapeutic; Transcend; Variant; Work; adverse birth outcomes; adverse pregnancy outcome; biobank; fetal; genetic variant; genome wide association study; genome-wide; genomic locus; insight; large datasets; multiple omics; novel; perinatal morbidity; phenomics; phenotypic data; prevent; success

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.

项目摘要/摘要 妊娠持续时间和出生体重是妊娠结局的主要指标。他们与 围产期发病率和死亡率以及儿童和成人疾病。在过去的几年中，我们有 在妊娠持续时间和出生体重的基因组研究中取得了长足的进步。首先，我们进行了 大规模基因组关联（GWA）研究，并确定了六个与 妊娠持续时间以及与出生体重相关的190个母体或胎儿位置。其次，我们开发了统计数据 剖析母体和胎儿遗传对出生结果的作用的方法。第三，我们研究了因果关系 产妇表型与出生结果之间的关系以及生活过程之间的关联 生日成果和晚期发作疾病。尽管取得了这些成功，但以前的基因组仍存在一个重大差距 研究 - 它们通常针对妊娠持续时间或出生体重，尽管这两个出生 结果与统计相关且与生物学相关。为了弥合这一差距，我们 - 领先的调查员 以前专注于妊娠持续时间或出生体重 - 已承诺工作 一起并整合了妊娠持续时间或出生体重的基因组研究。我们提出了一个新颖的统计 共同模拟母体和胎儿遗传对妊娠持续时间和胎儿生长的影响。 具体来说，我们将1）使用出生体重作为妊娠持续时间的替代品，并利用英国生物银行出生 与妊娠持续时间相关的基因组区域发现更强大的GWA发现的重量数据； 2） 通过母/婴儿二重奏中的综合基因组分析来解剖和复制母子和胎儿效应；和 3）整合基因组学和现象学以解决出生结果的复杂性及其与延迟发作的联系 疾病。这些有凝聚力的研究旨在超越常规GWA研究，并从中产生的结果 研究将增加我们对人类出生时间和胎儿生长的生物学的了解。这项研究也有 为早产和不良妊娠结局提供预防和治疗措施的潜力。

项目成果

Mosaic patterns of selection in genomic regions associated with diverse human traits.

• DOI: 10.1371/journal.pgen.1010494
• 发表时间: 2022-11
• 期刊: PLoS genetics
• 影响因子: 4.5

Author Correction: Genetic effects on the timing of parturition and links to fetal birth weight.

• DOI: 10.1038/s41588-023-01412-z
• 发表时间: 2023-07
• 期刊: NATURE GENETICS
• 影响因子: 30.8
• 作者: Sole-Navais, Pol;Flatley, Christopher;Steinthorsdottir, Valgerdur;Vaudel, Marc;Juodakis, Julius;Chen, Jing;Laisk, Triin;LaBella, Abigail L.;Westergaard, David;Bacelis, Jonas;Brumpton, Ben;Skotte, Line;Borges, Maria C.;Helgeland, Oyvind;Mahajan, Anubha;Wielscher, Matthias;Lin, Frederick;Briggs, Catherine;Wang, Carol A.;Moen, Gunn-Helen;Beaumont, Robin N.;Bradfield, Jonathan P.;Abraham, Abin;Thorleifsson, Gudmar;Gabrielsen, Maiken E.;Ostrowski, Sisse R.;Modzelewska, Dominika;Nohr, Ellen A.;Hypponen, Elina;Srivastava, Amit;Talbot, Octavious;Allard, Catherine;Williams, Scott M.;Menon, Ramkumar;Shields, Beverley M.;Sveinbjornsson, Gardar;Xu, Huan;Melbye, Mads;Lowe, William, Jr.;Bouchard, Luigi;Oken, Emily;Pedersen, Ole B.;Gudbjartsson, Daniel F.;Erikstrup, Christian;Sorensen, Erik;Lie, Rolv T.;Teramo, Kari;Hallman, Mikko;Juliusdottir, Thorhildur;Hakonarson, Hakon;Ullum, Henrik;Hattersley, Andrew T.;Sletner, Line;Merialdi, Mario;Rifas-Shiman, Sheryl L.;Steingrimsdottir, Thora;Scholtens, Denise;Power, Christine;West, Jane;Nyegaard, Mette;Capra, John A.;Skogholt, Anne H.;Magnus, Per;Andreassen, Ole A.;Thorsteinsdottir, Unnur;Grant, Struan F. A.;Qvigstad, Elisabeth;Pennell, Craig E.;Hivert, Marie-France;Hayes, Geoffrey M.;Jarvelin, Marjo-Riitta;McCarthy, Mark I.;Lawlor, Deborah A.;Nielsen, Henriette S.;Magi, Reedik;Rokas, Antonis;Hveem, Kristian;Stefansson, Kari;Feenstra, Bjarke;Njolstad, Pal;Muglia, Louis J.;Freathy, Rachel M.;Johansson, Stefan;Zhang, Ge;Jacobsson, Bo
• 通讯作者: Jacobsson, Bo

Integrating multiple lines of evidence to assess the effects of maternal BMI on pregnancy and perinatal outcomes.

• 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.

GSEL: a fast, flexible python package for detecting signatures of diverse evolutionary forces on genomic regions.

• DOI: 10.1093/bioinformatics/btad037
• 发表时间: 2023-01-01
• 期刊: Bioinformatics (Oxford, England)

Causal effects of maternal circulating amino acids on offspring birthweight: a Mendelian randomisation study.

• 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