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Placental multi-omics integration identifies candidate functional genes for birthweight

Abnormal birthweight is associated with increased risk for cardiometabolic diseases in later life. Although the placenta is critical to fetal development and later life health, it has not been integrated into largescale functional genomics initiatives, and mechanisms of birthweight-associated varian...

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Autores principales: Tekola-Ayele, Fasil, Zeng, Xuehuo, Chatterjee, Suvo, Ouidir, Marion, Lesseur, Corina, Hao, Ke, Chen, Jia, Tesfaye, Markos, Marsit, Carmen J., Workalemahu, Tsegaselassie, Wapner, Ronald
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9061712/
https://www.ncbi.nlm.nih.gov/pubmed/35501330
http://dx.doi.org/10.1038/s41467-022-30007-1
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author Tekola-Ayele, Fasil
Zeng, Xuehuo
Chatterjee, Suvo
Ouidir, Marion
Lesseur, Corina
Hao, Ke
Chen, Jia
Tesfaye, Markos
Marsit, Carmen J.
Workalemahu, Tsegaselassie
Wapner, Ronald
author_facet Tekola-Ayele, Fasil
Zeng, Xuehuo
Chatterjee, Suvo
Ouidir, Marion
Lesseur, Corina
Hao, Ke
Chen, Jia
Tesfaye, Markos
Marsit, Carmen J.
Workalemahu, Tsegaselassie
Wapner, Ronald
author_sort Tekola-Ayele, Fasil
collection PubMed
description Abnormal birthweight is associated with increased risk for cardiometabolic diseases in later life. Although the placenta is critical to fetal development and later life health, it has not been integrated into largescale functional genomics initiatives, and mechanisms of birthweight-associated variants identified by genome wide association studies (GWAS) are unclear. The goal of this study is to provide functional mechanistic insight into the causal pathway from a genetic variant to birthweight by integrating placental methylation and gene expression with established GWAS loci for birthweight. We identify placental DNA methylation and gene expression targets for several birthweight GWAS loci. The target genes are broadly enriched in cardiometabolic, immune response, and hormonal pathways. We find that methylation causally influences WNT3A, CTDNEP1, and RANBP2 expression in placenta. Multi-trait colocalization identifies PLEKHA1, FES, CTDNEP1, and PRMT7 as likely functional effector genes. These findings reveal candidate functional pathways that underpin the genetic regulation of birthweight via placental epigenetic and transcriptomic mechanisms. Clinical trial registration; ClinicalTrials.gov, NCT00912132.
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spelling pubmed-90617122022-05-04 Placental multi-omics integration identifies candidate functional genes for birthweight Tekola-Ayele, Fasil Zeng, Xuehuo Chatterjee, Suvo Ouidir, Marion Lesseur, Corina Hao, Ke Chen, Jia Tesfaye, Markos Marsit, Carmen J. Workalemahu, Tsegaselassie Wapner, Ronald Nat Commun Article Abnormal birthweight is associated with increased risk for cardiometabolic diseases in later life. Although the placenta is critical to fetal development and later life health, it has not been integrated into largescale functional genomics initiatives, and mechanisms of birthweight-associated variants identified by genome wide association studies (GWAS) are unclear. The goal of this study is to provide functional mechanistic insight into the causal pathway from a genetic variant to birthweight by integrating placental methylation and gene expression with established GWAS loci for birthweight. We identify placental DNA methylation and gene expression targets for several birthweight GWAS loci. The target genes are broadly enriched in cardiometabolic, immune response, and hormonal pathways. We find that methylation causally influences WNT3A, CTDNEP1, and RANBP2 expression in placenta. Multi-trait colocalization identifies PLEKHA1, FES, CTDNEP1, and PRMT7 as likely functional effector genes. These findings reveal candidate functional pathways that underpin the genetic regulation of birthweight via placental epigenetic and transcriptomic mechanisms. Clinical trial registration; ClinicalTrials.gov, NCT00912132. Nature Publishing Group UK 2022-05-02 /pmc/articles/PMC9061712/ /pubmed/35501330 http://dx.doi.org/10.1038/s41467-022-30007-1 Text en © This is a U.S. government work and not under copyright protection in the U.S.; foreign copyright protection may apply 2022 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Tekola-Ayele, Fasil
Zeng, Xuehuo
Chatterjee, Suvo
Ouidir, Marion
Lesseur, Corina
Hao, Ke
Chen, Jia
Tesfaye, Markos
Marsit, Carmen J.
Workalemahu, Tsegaselassie
Wapner, Ronald
Placental multi-omics integration identifies candidate functional genes for birthweight
title Placental multi-omics integration identifies candidate functional genes for birthweight
title_full Placental multi-omics integration identifies candidate functional genes for birthweight
title_fullStr Placental multi-omics integration identifies candidate functional genes for birthweight
title_full_unstemmed Placental multi-omics integration identifies candidate functional genes for birthweight
title_short Placental multi-omics integration identifies candidate functional genes for birthweight
title_sort placental multi-omics integration identifies candidate functional genes for birthweight
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9061712/
https://www.ncbi.nlm.nih.gov/pubmed/35501330
http://dx.doi.org/10.1038/s41467-022-30007-1
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