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DC Field | Value | Language |
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dc.contributor.author | Cabrera, CP | - |
dc.contributor.author | Pazoki, R | - |
dc.contributor.author | Giri, A | - |
dc.contributor.author | Hellwege, JN | - |
dc.contributor.author | Evangelou, E | - |
dc.contributor.author | Ramirez, J | - |
dc.contributor.author | Wain, LV | - |
dc.contributor.author | Tzoulaki, I | - |
dc.contributor.author | Edwards, TL | - |
dc.contributor.author | Elliott, P | - |
dc.contributor.author | Munroe, PB | - |
dc.contributor.author | Barnes, MR | - |
dc.contributor.author | Caulfield, MJ | - |
dc.contributor.author | Warren, HR | - |
dc.date.accessioned | 2021-02-07T15:01:05Z | - |
dc.date.available | 2020-12-01 | - |
dc.date.available | 2021-02-07T15:01:05Z | - |
dc.date.issued | 2020-12-01 | - |
dc.identifier.citation | Cabrera, C.P., Pazoki, R., Giri, A. Hellwege, G.N., Evangelou, E., Ramirez, J., Wain, L., Tzoulaki, I., Edwards, T.L., Elliott, P., Munroe, P.B., Barnes, M.R., Caulfield, M.J. and Warren, H.R. on behalf of the VA Million Veteran Program and the ICBP working group (2020) 'Multi-trait genome-wide association analysis of blood pressure identifies 45 additional loci', European Journal of Human Genetics, 2020, 28 (Suppl 1), pp. 105 - 105 (1) | en_US |
dc.identifier.issn | 1018-4813 | - |
dc.identifier.uri | https://bura.brunel.ac.uk/handle/2438/22219 | - |
dc.description.abstract | Introduction: Single-trait genome wide association studies (GWAS) have revealed over 1,000 blood pressure (BP) loci. However, these loci only account for less than one third of the BP genetic variation. Multi-trait GWAS is reported to increase discovery power by jointly analysing highly correlated traits. By performing the first large-scale multi-trait BP GWAS, we aimed 1) to compare multi-trait vs single-trait results and 2) identify additional loci. Methods: We apply MTAG to conduct a multi-trait GWAS of systolic BP, diastolic BP and pulse pressure using results from our recent GWAS discovery analysis of ~750k individuals of European ancestry from UK Biobank and the International Consortium of Blood Pressure. To detect additional loci we tested ~7 million imputed genetic variants applying the same combined 1-stage and 2-stage design criteria as in the original GWAS, with replication using MTAG results from the US Million Veteran Program (n~220k). Results: Single-trait GWAS yielded a higher number of significant independent signals genome-wide. Nevertheless, our multi-trait analysis identified 45 new BP loci that were not detected in the equivalent GWAS, of which nine remain novel (based on further BP loci discoveries since 2018). Conclusions: Our multi-trait GWAS discovered additional BP loci. However, our results illustrate that the benefits of MTAG are trait-specific, requiring high pairwise correlation between all pairs of traits, and that more power is gained when MTAG is also used for meta-analysis of traits from different samples. This suggests that future BP genetics discovery projects should focus efforts on larger meta-analyses including new cohorts. | en_US |
dc.format.extent | 105 - 105 (1) | - |
dc.language | English | - |
dc.language.iso | en | en_US |
dc.publisher | Springer Nature | en_US |
dc.subject | Science & Technology | en_US |
dc.subject | Life Sciences & Biomedicine | en_US |
dc.subject | Biochemistry & Molecular Biology | en_US |
dc.subject | Genetics & Heredity | en_US |
dc.title | Multi-trait genome-wide association analysis of blood pressure identifies 45 additional loci | en_US |
dc.type | Conference Paper | en_US |
dc.identifier.doi | https://doi.org/10.1038/s41431-020-00740-6 | - |
dc.relation.isPartOf | EUROPEAN JOURNAL OF HUMAN GENETICS | - |
pubs.issue | SUPPL 1 | - |
pubs.publication-status | Published | - |
pubs.volume | 28 | - |
dc.identifier.eissn | 1476-5438 | - |
Appears in Collections: | Dept of Life Sciences Research Papers |
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