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dc.contributor.authorBeaumont, RN
dc.contributor.authorMayne, IK
dc.contributor.authorFreathy, RM
dc.contributor.authorWright, CF
dc.date.accessioned2021-03-05T13:30:03Z
dc.date.issued2021-03-04
dc.description.abstractBirth weight is an important factor in newborn survival; both low and high birth weights are associated with adverse later-life health outcomes. Genome-wide association studies (GWAS) have identified 190 loci associated with maternal or fetal effects on birth weight. Knowledge of underlying causal genes is crucial to understand how these loci influence birth weight, and links between infant and adult morbidity. Numerous monogenic developmental syndromes are associated with birth weights at the extreme ends of the distribution. Genes implicated in those syndromes may provide valuable information to prioritise candidate genes at GWAS loci. We examined the proximity of genes implicated in developmental disorders to birth weight GWAS loci, using simulations to test whether they fall disproportionately close to the GWAS loci. We found birth weight GWAS single nucleotide polymorphisms (SNPs) fall closer to such genes than expected, both when the developmental disorder gene is the nearest gene to the birth weight SNP and also examining all genes within 258kb of the SNP. This enrichment was driven by genes causing monogenic developmental disorders with dominant modes of inheritance. We found examples of SNPs in the intron of one gene marking plausible effects via different nearby genes, highlighting the closest gene to the SNP not necessarily being the functionally relevant gene. This is the first application of this approach to birth weight, which has helped identify GWAS loci likely to have direct fetal effects on birth weight which could not previously be classified as fetal or maternal due to insufficient statistical power.en_GB
dc.description.sponsorshipWellcome Trusten_GB
dc.description.sponsorshipRoyal Societyen_GB
dc.identifier.citationVol. 30 (11), pp. 1057–1066en_GB
dc.identifier.doi10.1093/hmg/ddab060
dc.identifier.grantnumberWT104150en_GB
dc.identifier.urihttp://hdl.handle.net/10871/125031
dc.language.isoenen_GB
dc.publisherOxford University Press (OUP)en_GB
dc.rights© The Author(s) 2021. Published by Oxford University Press. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited
dc.titleCommon genetic variants with fetal effects on birth weight are enriched for proximity to genes implicated in rare developmental disordersen_GB
dc.typeArticleen_GB
dc.date.available2021-03-05T13:30:03Z
dc.identifier.issn0964-6906
dc.descriptionThis is the final version. Available on open access from Oxford University Press via the DOI in this recorden_GB
dc.descriptionData availability: This study makes use of data generated by the DECIPHER community. A full list of centres who contributed to the generation of the data is available from https://decipher.sanger.ac.uk and via email from decipher@sanger.ac.uk.en_GB
dc.identifier.journalHuman Molecular Geneticsen_GB
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/en_GB
dcterms.dateAccepted2021-02-15
rioxxterms.versionAMen_GB
rioxxterms.licenseref.startdate2021-02-15
rioxxterms.typeJournal Article/Reviewen_GB
refterms.dateFCD2021-03-05T10:52:51Z
refterms.versionFCDAM
refterms.dateFOA2021-03-15T11:09:13Z
refterms.panelAen_GB


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© The Author(s) 2021. Published by Oxford University Press.
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited
Except where otherwise noted, this item's licence is described as © The Author(s) 2021. Published by Oxford University Press. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited