Title |
New Blood Pressure–Associated Loci Identified in Meta-Analyses of 475 000 Individuals
|
---|---|
Published in |
Circulation: Genomic and Precision Medicine, October 2017
|
DOI | 10.1161/circgenetics.117.001778 |
Pubmed ID | |
Authors |
Aldi T Kraja, James P Cook, Helen R Warren, Praveen Surendran, Chunyu Liu, Evangelos Evangelou, Alisa K Manning, Niels Grarup, Fotios Drenos, Xueling Sim, Albert Vernon Smith, Najaf Amin, Alexandra I F Blakemore, Jette Bork-Jensen, Ivan Brandslund, Aliki-Eleni Farmaki, Cristiano Fava, Teresa Ferreira, Karl-Heinz Herzig, Ayush Giri, Franco Giulianini, Megan L Grove, Xiuqing Guo, Sarah E Harris, Christian T Have, Aki S Havulinna, He Zhang, Marit E Jørgensen, AnneMari Käräjämäki, Charles Kooperberg, Allan Linneberg, Louis Little, Yongmei Liu, Lori L Bonnycastle, Yingchang Lu, Reedik Mägi, Anubha Mahajan, Giovanni Malerba, Riccardo E Marioni, Hao Mei, Cristina Menni, Alanna C Morrison, Sandosh Padmanabhan, Walter Palmas, Alaitz Poveda, Rainer Rauramaa, Nigel William Rayner, Muhammad Riaz, Ken Rice, Melissa A Richard, Jennifer A Smith, Lorraine Southam, Alena Stančáková, Kathleen E Stirrups, Vinicius Tragante, Tiinamaija Tuomi, Ioanna Tzoulaki, Tibor V Varga, Stefan Weiss, Andrianos M Yiorkas, Robin Young, Weihua Zhang, Michael R Barnes, Claudia P Cabrera, He Gao, Michael Boehnke, Eric Boerwinkle, John C Chambers, John M Connell, Cramer K Christensen, Rudolf A de Boer, Ian J Deary, George Dedoussis, Panos Deloukas, Anna F Dominiczak, Marcus Dörr, Roby Joehanes, Todd L Edwards, Tõnu Esko, Myriam Fornage, Nora Franceschini, Paul W Franks, Giovanni Gambaro, Leif Groop, Göran Hallmans, Torben Hansen, Caroline Hayward, Oksa Heikki, Erik Ingelsson, Jaakko Tuomilehto, Marjo-Riitta Jarvelin, Sharon L R Kardia, Fredrik Karpe, Jaspal S Kooner, Timo A Lakka, Claudia Langenberg, Lars Lind, Ruth J F Loos, Markku Laakso, Mark I McCarthy, Olle Melander, Karen L Mohlke, Andrew P Morris, Colin N A Palmer, Oluf Pedersen, Ozren Polasek, Neil R Poulter, Michael A Province, Bruce M Psaty, Paul M Ridker, Jerome I Rotter, Igor Rudan, Veikko Salomaa, Nilesh J Samani, Peter J Sever, Tea Skaaby, Jeanette M Stafford, John M Starr, Pim van der Harst, Peter van der Meer, Cornelia M van Duijn, Anne-Claire Vergnaud, Vilmundur Gudnason, Nicholas J Wareham, James G Wilson, Cristen J Willer, Daniel R Witte, Eleftheria Zeggini, Danish Saleheen, Adam S Butterworth, John Danesh, Folkert W Asselbergs, Louise V Wain, Georg B Ehret, Daniel I Chasman, Mark J Caulfield, Paul Elliott, Cecilia M Lindgren, Daniel Levy, Christopher Newton-Cheh, Patricia B Munroe, Joanna M M Howson |
Abstract |
Genome-wide association studies have recently identified >400 loci that harbor DNA sequence variants that influence blood pressure (BP). Our earlier studies identified and validated 56 single nucleotide variants (SNVs) associated with BP from meta-analyses of exome chip genotype data. An additional 100 variants yielded suggestive evidence of association. Here, we augment the sample with 140 886 European individuals from the UK Biobank, in whom 77 of the 100 suggestive SNVs were available for association analysis with systolic BP or diastolic BP or pulse pressure. We performed 2 meta-analyses, one in individuals of European, South Asian, African, and Hispanic descent (pan-ancestry, ≈475 000), and the other in the subset of individuals of European descent (≈423 000). Twenty-one SNVs were genome-wide significant (P<5×10(-)(8)) for BP, of which 4 are new BP loci: rs9678851 (missense, SLC4A1AP), rs7437940 (AFAP1), rs13303 (missense, STAB1), and rs1055144 (7p15.2). In addition, we identified a potentially independent novel BP-associated SNV, rs3416322 (missense, SYNPO2L) at a known locus, uncorrelated with the previously reported SNVs. Two SNVs are associated with expression levels of nearby genes, and SNVs at 3 loci are associated with other traits. One SNV with a minor allele frequency <0.01, (rs3025380 at DBH) was genome-wide significant. We report 4 novel loci associated with BP regulation, and 1 independent variant at an established BP locus. This analysis highlights several candidate genes with variation that alter protein function or gene expression for potential follow-up. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 3 | 27% |
United Kingdom | 3 | 27% |
Finland | 1 | 9% |
Unknown | 4 | 36% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 10 | 91% |
Practitioners (doctors, other healthcare professionals) | 1 | 9% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 100 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 21 | 21% |
Student > Master | 11 | 11% |
Professor | 10 | 10% |
Student > Ph. D. Student | 9 | 9% |
Student > Bachelor | 8 | 8% |
Other | 19 | 19% |
Unknown | 22 | 22% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 41 | 41% |
Biochemistry, Genetics and Molecular Biology | 13 | 13% |
Agricultural and Biological Sciences | 7 | 7% |
Psychology | 3 | 3% |
Social Sciences | 3 | 3% |
Other | 7 | 7% |
Unknown | 26 | 26% |