ArticleJournal of clinical hypertension (Greenwich, Conn.)2022
The genetic architecture of blood pressure variability: A genome-wide association study of 9370 participants from UK Biobank.
Article in Journal of clinical hypertension (Greenwich, Conn.), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed, 10 citations in OpenAlex.
- Review
- Genome-wide association study on chronic postsurgical pain after abdominal surgeries in the UK Biobank.Anaesthesia · 2025Article
- Causal Effects Between Blood Pressure Variability and Alzheimer's Disease: A Two-Sample Mendelian Randomization Study.Journal of clinical hypertension (Greenwich, Conn.) · 2025Article
- 2025 Heart Disease and Stroke Statistics: A Report of US and Global Data From the American Heart Association.Circulation · 2025Review
- 2024 Heart Disease and Stroke Statistics: A Report of US and Global Data From the American Heart Association.Circulation · 2024Review
- Article
- The genetic architecture of blood pressure variability: A genome-wide association study of 9370 participants from UK Biobank.Journal of clinical hypertension (Greenwich, Conn.) · 2022Article
- Improving the effectiveness of anti-aging modalities by using the constrained disorder principle-based management algorithms.Frontiers in aging · 2022Review
Corrections and comments
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Authors and funding
5 authors at 1 institution in 2 countries.
Funding
Abstract
Long-term blood pressure variability (BPV) is a risk factor for cardiovascular diseases, dementia, and stroke. However, its genetic architecture is not fully understood. This study aims to explore its genetic factors and provide more evidence on the mechanisms and further pathological study of BPV. The genome-wide association study (GWAS) is based on the UK Biobank cohort. There were four data collection rounds from 2006 to 2020, and 9370 participants with more than three blood pressure measurements were included. They had a median age of 55 and a male percentage of 50.1%. The phenotypes (BPV) were calculated by four methods and the genetic data contains 6 884 260 single nucleotide polymorphisms (SNPs) after imputation and quality control. A linear regression model was performed with adjustments for sex, age, genotype array, and a significant principal component. Subgroup analysis was performed on hypertension-free participants. The significant and suggestive significant P thresholds were set as 5 × 10
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