Insights into the genetics of menopausal vasomotor symptoms: genome-wide analyses of routinely-collected primary care health records.
dc.contributor.author | Ruth, KS | |
dc.contributor.author | Beaumont, RN | |
dc.contributor.author | Locke, JM | |
dc.contributor.author | Tyrrell, J | |
dc.contributor.author | Crandall, CJ | |
dc.contributor.author | Hawkes, G | |
dc.contributor.author | Frayling, TM | |
dc.contributor.author | Prague, JK | |
dc.contributor.author | Patel, KA | |
dc.contributor.author | Wood, AR | |
dc.contributor.author | Weedon, MN | |
dc.contributor.author | Murray, A | |
dc.date.accessioned | 2023-11-10T13:20:37Z | |
dc.date.issued | 2023-10-02 | |
dc.date.updated | 2023-11-10T12:51:17Z | |
dc.description.abstract | BACKGROUND: Vasomotor symptoms (VMS) can often significantly impact women's quality of life at menopause. In vivo studies have shown that increased neurokinin B (NKB) / neurokinin 3 receptor (NK3R) signalling contributes to VMS, with previous genetic studies implicating the TACR3 gene locus that encodes NK3R. Large-scale genomic analyses offer the possibility of biological insights but few such studies have collected data on VMS, while proxy phenotypes such as hormone replacement therapy (HRT) use are likely to be affected by changes in clinical practice. We investigated the genetic basis of VMS by analysing routinely-collected health records. METHODS: We performed a GWAS of VMS derived from linked primary-care records and cross-sectional self-reported HRT use in up to 153,152 women from UK Biobank, a population-based cohort. In a subset of this cohort (n = 39,356), we analysed exome-sequencing data to test the association with VMS of rare deleterious genetic variants. Finally, we used Mendelian randomisation analysis to investigate the reasons for HRT use over time. RESULTS: Our GWAS of health-records derived VMS identified a genetic signal near TACR3 associated with a lower risk of VMS (OR=0.76 (95% CI 0.72,0.80) per A allele, P=3.7x10-27), which was consistent with previous studies, validating this approach. Conditional analyses demonstrated independence of genetic signals for puberty timing and VMS at the TACR3 locus, including a rare variant predicted to reduce functional NK3R levels that was associated with later menarche (P = 5 × 10-9) but showed no association with VMS (P = 0.6). Younger menopause age was causally-associated with greater HRT use before 2002 but not after. CONCLUSIONS: We provide support for TACR3 in the genetic basis of VMS but unexpectedly find that rare genomic variants predicted to lower NK3R levels did not modify VMS, despite the proven efficacy of NK3R antagonists. Using genomics we demonstrate changes in genetic associations with HRT use over time, arising from a change in clinical practice since the early 2000s, which is likely to reflect a switch from preventing post-menopausal complications in women with earlier menopause to primarily treating VMS. Our study demonstrates that integrating routinely-collected primary care health records and genomic data offers great potential for exploring the genetic basis of symptoms. | en_GB |
dc.description.sponsorship | Cancer Research UK | en_GB |
dc.description.sponsorship | Medical Research Council | en_GB |
dc.description.sponsorship | UK Research and Innovation | en_GB |
dc.format.extent | 231- | |
dc.format.medium | Electronic | |
dc.identifier.citation | Vol. 16, No. 1, article 231 | en_GB |
dc.identifier.doi | https://doi.org/10.1186/s12920-023-01658-w | |
dc.identifier.grantnumber | C18281/A29019 | en_GB |
dc.identifier.grantnumber | MR/M008924/1 | en_GB |
dc.identifier.uri | http://hdl.handle.net/10871/134495 | |
dc.identifier | ORCID: 0000-0003-4966-9170 (Ruth, Katherine S) | |
dc.identifier | ScopusID: 56661968700 (Ruth, Katherine S) | |
dc.identifier | ORCID: 0000-0003-0750-8248 (Beaumont, Robin N) | |
dc.identifier | ScopusID: 57156164500 (Beaumont, Robin N) | |
dc.identifier | ORCID: 0000-0002-9240-8104 (Patel, Kashyap A) | |
dc.identifier | ScopusID: 57188657944 (Patel, Kashyap A) | |
dc.language.iso | en | en_GB |
dc.publisher | BMC | en_GB |
dc.relation.url | https://www.ncbi.nlm.nih.gov/pubmed/37784116 | en_GB |
dc.relation.url | https://www.ukbiobank.ac.uk/enable-your-research/apply-for-access | en_GB |
dc.relation.url | https://www.ebi.ac.uk/gwas | en_GB |
dc.rights | © The Author(s) 2023. 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 licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence 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 licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativeco mmons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data. | en_GB |
dc.subject | Genome-wide analyses | en_GB |
dc.subject | Genome-wide association study | en_GB |
dc.subject | Hormone replacement therapy | en_GB |
dc.subject | Menopause | en_GB |
dc.subject | Vasomotor symptoms | en_GB |
dc.title | Insights into the genetics of menopausal vasomotor symptoms: genome-wide analyses of routinely-collected primary care health records. | en_GB |
dc.type | Article | en_GB |
dc.date.available | 2023-11-10T13:20:37Z | |
dc.identifier.issn | 1755-8794 | |
exeter.article-number | 231 | |
exeter.place-of-publication | England | |
dc.description | This is the final version. Available from BMC via the DOI in this record. | en_GB |
dc.description | Availability of data and materials: All data used in the discovery analyses are available from UK Biobank on application at https://www.ukbiobank.ac.uk/enable-your-research/apply-for-access. Data from UK Biobank that are released to approved projects are de-identifed with project specifc identifers assigned to individuals. The genome-wide summary statistics generated by the study are available on the GWAS Catalog (https://www.ebi.ac.uk/gwas) under accession ID GCST90267381. | en_GB |
dc.identifier.journal | BMC Medical Genomics | en_GB |
dc.relation.ispartof | BMC Med Genomics, 16(1) | |
dc.rights.uri | https://creativecommons.org/licenses/by/4.0/ | en_GB |
dcterms.dateAccepted | 2023-09-08 | |
dc.rights.license | CC BY | |
rioxxterms.version | VoR | en_GB |
rioxxterms.licenseref.startdate | 2023-10-02 | |
rioxxterms.type | Journal Article/Review | en_GB |
refterms.dateFCD | 2023-11-10T13:17:09Z | |
refterms.versionFCD | VoR | |
refterms.dateFOA | 2023-11-10T13:20:45Z | |
refterms.panel | A | en_GB |
refterms.dateFirstOnline | 2023-10-02 |
Files in this item
This item appears in the following Collection(s)
Except where otherwise noted, this item's licence is described as © The Author(s) 2023. 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 licence, and indicate if changes were made. The images or
other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line
to the material. If material is not included in the article’s Creative Commons licence 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
licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativeco
mmons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.