The Queen Mary-led study reveals the most detailed picture yet of genetic contributors to blood pressure. The findings lead to improved polygenic risk scores, which will better predict blood pressure and risk for hypertension.
The Queen Mary-led study reveals the most detailed picture yet of genetic contributors to blood pressure. The findings lead to improved polygenic risk scores, which will better predict blood pressure and risk for hypertension.
Researchers led by Queen Mary University of London and supported by the National Institute for Health and Care Research (NIHR) have discovered over a hundred new regions of the human genome, also known as genomic loci, that appear to influence a person’s blood pressure. In total, over 2,000 independent genetic signals for blood pressure are now reported, demonstrating that blood pressure is a highly complex trait influenced by thousands of different genetic variants.
The study, published in Nature Genetics, is one of the largest such genomic studies of blood pressure to date, including data from over 1 million individuals and laying the groundwork for researchers to better understand how blood pressure is regulated.
To understand the genetics of blood pressure, the researchers combined four large datasets from genome-wide association studies (GWAS) of blood pressure and hypertension. After analysing the data, they found over 2,000 genomic loci linked to blood pressure, including 113 new regions. The analyses also implicated hundreds of previously unreported genes that affect blood pressure. Such insights could point to potential new drug targets, and help to advance precision medicine in the early detection and prevention of hypertension (high blood pressure).
From these analyses, the researchers were able to calculate polygenic risk scores, which combine the effects of all genetic variants together to predict blood pressure and risk for hypertension. For example, these risk scores show that individuals with highest genetic risk have mean systolic blood pressure levels which are ~17 mmHg higher than those with lowest genetic risk, and a 7-fold increased risk of hypertension. Therefore, these polygenic risk scores can discriminate between patients according to their hypertension risk, and reveal clinically meaningful differences in blood pressure.
“We have now revealed a much larger proportion of the genetic contribution of blood pressure than was previously known,” says Helen Warren, Senior Lecturer in Statistical Genetics at Queen Mary University of London and senior last author of the study. “We are making our polygenic risk scores data publicly available. There are many different potential applications of genetic risk scores, so it will be exciting to see how our blood pressure scores can be used to address more clinically relevant questions in the future.”
“This large study builds on over 18 years of blood pressure GWAS research. Our results provide new resources for understanding biological mechanisms and importantly new polygenic risk scores for early identification and stratification of people at risk for cardiovascular diseases” says Patricia Munroe, Professor of Molecular Medicine at Queen Mary University of London, also a senior author of the paper.
Polygenic risk scores have potential to serve as a useful tool in precision medicine, but more diverse genomic data is needed for them to be applicable broadly in routine health care. While the collected data was mostly from people of European ancestry (due to limited availability of diverse datasets when the study was started), the researchers found that the polygenic risk scores were also applicable to people of African ancestry, who have previously been underrepresented in genetic studies. This African ancestry result was confirmed through analysing data from the National Institute of Health’s (NIH) All of Us Research Program in the USA, which aims to build one of the largest biomedical data resources and accelerate research to improve human health.
An estimated 30% of adults in the UK have high blood pressure, known as hypertension. High blood pressure often runs in families, meaning that there is a genetic component to developing the condition in addition to environmental contributions such as a high-salt diet, lack of exercise, smoking and stress. When blood pressure is consistently too high, it can damage the heart and blood vessels throughout the body, increasing a person’s risk for heart disease, kidney disease, stroke and other conditions.
The study combined previously published genetic data from the UK Biobank, a large-scale biomedical database and research resource containing genetic and health information from half a million UK participants (N~450,000 individuals); the International Consortium for Blood Pressure (N~300,000 individuals combined from 77 different cohort studies); and the U.S. Department of Veterans Affairs’ Million Veteran Program (N~220,000 individuals), with new data from Vanderbilt University Medical Center’s biorepository, BioVU (N~50,000 individuals).
The project was led by researchers at Barts NIHR Biomedical Research Centre, Queen Mary University of London, in collaboration with National Human Genome Research Institute (NHGRI) in the USA, Vanderbilt University Medical Center, the University of Groningen in the Netherlands and other institutions, as part of the International Consortium of Blood Pressure. Altogether, over 140 investigators from more than 100 universities, institutes, and government agencies throughout the world contributed to this international study.
Journal
Nature Genetics
Method of Research
Meta-analysis
Subject of Research
People
Article Title
Genome-wide analysis in over 1 million individuals of European ancestry yields improved polygenic risk scores for blood pressure traits
Article Publication Date
30-Apr-2024
COI Statement
Mike A. Nalls’ participation in this project was part of a competitive contract awarded to Data Tecnica International LLC by the National Institutes of Health to support open science research, he also currently serves on the scientific advisory board for Clover Therapeutics and is an advisor to Neuron23 Inc as a data science fellow. Bruce M. Psaty serves on the Steering Committee of the Yale Open Data Access Project funded by Johnson & Johnson. Peter Vollenweider received an unrestricted grant from GlaxoSmithKline to build the CoLaus study (2003). V.S. has received honoraria for consulting from Novo Nordisk and Sanofi and has ongoing research collaboration with Bayer Ltd. (all unrelated to this project). Ruifang Li-Gao is a part-time consultant of Metabolon, Inc. Mark J. Caulfield is Chief Scientist for Genomics England, a UK Government company. M.T and JMMH are employees and stockholders of Novo Nordisk. Christopher J. O’Donnell is currently employed by Novartis Institutes for Biomedical Research (unrelated to this project) and remains credentialed as a without compensation researcher with the Veterans Administration. Tim Spector is co-founder of Zoe Ltd. A.S.B. reports institutional grants from AstraZeneca, Bayer, Biogen, BioMarin, Bioverativ, Novartis, Regeneron and Sanofi. John N. Danesh reports grants, personal fees and non-financial support from Merck Sharp & Dohme (MSD), grants, personal fees and non-financial support from Novartis, grants from Pfizer and grants from AstraZeneca outside the submitted work. John N. Danesh. sits on the International Cardiovascular and Metabolic Advisory Board for Novartis (since 2010); the Steering Committee of UK Biobank (since 2011); the MRC International Advisory Group (ING) member, London (since 2013); the MRC High Throughput Science ‘Omics Panel Member, London (since 2013); the Scientific Advisory Committee for Sanofi (since 2013); the International Cardiovascular and Metabolism Research and Development Portfolio Committee for Novartis; and the Astra Zeneca Genomics Advisory Board (2018).
Evangelos Evangelou (deceased) is co-founder has received consultation fees from Open DNA Ltd (unrelated to this project).
The remainder of the authors declare no competing interests.
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