Relationship Between Blood Pressure and Incident Cardiovascular Disease: Linear and Nonlinear Mendelian Randomization Analyses
Published 2021 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Relationship Between Blood Pressure and Incident Cardiovascular Disease: Linear and Nonlinear Mendelian Randomization Analyses
Authors
Keywords
-
Journal
HYPERTENSION
Volume 77, Issue 6, Pages 2004-2013
Publisher
Ovid Technologies (Wolters Kluwer Health)
Online
2021-04-05
DOI
10.1161/hypertensionaha.120.16534
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- A comparison of robust Mendelian randomization methods using summary data
- (2020) Eric A. W. Slob et al. GENETIC EPIDEMIOLOGY
- Association of a Province-Wide Intervention With Salt Intake and Hypertension in Shandong Province, China, 2011-2016
- (2020) Aiqiang Xu et al. JAMA Internal Medicine
- Body mass index and all cause mortality in HUNT and UK Biobank studies: linear and non-linear mendelian randomisation analyses
- (2019) Yi-Qian Sun et al. BMJ-British Medical Journal
- 2019 ACC/AHA Guideline on the Primary Prevention of Cardiovascular Disease: Executive Summary
- (2019) Donna K. Arnett et al. CIRCULATION
- Blood pressure control: a challenge to global health systems
- (2019) Clara K Chow et al. LANCET
- Effect of Systolic and Diastolic Blood Pressure on Cardiovascular Outcomes
- (2019) Alexander C. Flint et al. NEW ENGLAND JOURNAL OF MEDICINE
- Systolic Blood Pressure and Risk of Valvular Heart Disease
- (2019) Milad Nazarzadeh et al. JAMA Cardiology
- Modifiable risk factors, cardiovascular disease, and mortality in 155 722 individuals from 21 high-income, middle-income, and low-income countries (PURE): a prospective cohort study
- (2019) Salim Yusuf et al. LANCET
- Problems in interpreting and using GWAS of conditional phenotypes illustrated by 'alcohol GWAS'
- (2018) Michael V Holmes et al. MOLECULAR PSYCHIATRY
- Detection of widespread horizontal pleiotropy in causal relationships inferred from Mendelian randomization between complex traits and diseases
- (2018) Marie Verbanck et al. NATURE GENETICS
- Genetic analysis of over 1 million people identifies 535 new loci associated with blood pressure traits
- (2018) Evangelos Evangelou et al. NATURE GENETICS
- The UK Biobank resource with deep phenotyping and genomic data
- (2018) Clare Bycroft et al. NATURE
- Semiparametric methods for estimation of a nonlinear exposure-outcome relationship using instrumental variables with application to Mendelian randomization
- (2017) James R. Staley et al. GENETIC EPIDEMIOLOGY
- 2017 ACC/AHA/AAPA/ABC/ACPM/AGS/APhA/ASH/ASPC/NMA/PCNA Guideline for the Prevention, Detection, Evaluation, and Management of High Blood Pressure in Adults: Executive Summary: A Report of the American College of Cardiology/American Heart Association Task Force on Clinical Practice Guidelines
- (2017) Paul K. Whelton et al. HYPERTENSION
- Worldwide trends in blood pressure from 1975 to 2015: a pooled analysis of 1479 population-based measurement studies with 19·1 million participants
- (2017) Bin Zhou et al. LANCET
- 2016 European Guidelines on cardiovascular disease prevention in clinical practice
- (2016) Massimo F. Piepoli et al. EUROPEAN HEART JOURNAL
- Cardiovascular event rates and mortality according to achieved systolic and diastolic blood pressure in patients with stable coronary artery disease: an international cohort study
- (2016) Emmanuelle Vidal-Petiot et al. LANCET
- Blood pressure lowering for prevention of cardiovascular disease and death: a systematic review and meta-analysis
- (2016) Dena Ettehad et al. LANCET
- Mendelian randomization with invalid instruments: effect estimation and bias detection through Egger regression
- (2015) J. Bowden et al. INTERNATIONAL JOURNAL OF EPIDEMIOLOGY
- A Randomized Trial of Intensive versus Standard Blood-Pressure Control
- (2015) NEW ENGLAND JOURNAL OF MEDICINE
- A review of instrumental variable estimators for Mendelian randomization
- (2015) Stephen Burgess et al. STATISTICAL METHODS IN MEDICAL RESEARCH
- Combining information on multiple instrumental variables in Mendelian randomization: comparison of allele score and summarized data methods
- (2015) Stephen Burgess et al. STATISTICS IN MEDICINE
- Reducing the Blood Pressure–Related Burden of Cardiovascular Disease: Impact of Achievable Improvements in Blood Pressure Prevention and Control
- (2015) Shakia T. Hardy et al. Journal of the American Heart Association
- Instrumental Variable Analysis with a Nonlinear Exposure–Outcome Relationship
- (2014) Stephen Burgess et al. EPIDEMIOLOGY
- Blood pressure and incidence of twelve cardiovascular diseases: lifetime risks, healthy life-years lost, and age-specific associations in 1·25 million people
- (2014) Eleni Rapsomaniki et al. LANCET
- Aggressive Blood Pressure Lowering Is Dangerous: The J-Curve
- (2013) Giuseppe Mancia et al. HYPERTENSION
- Use of allele scores as instrumental variables for Mendelian randomization
- (2013) Stephen Burgess et al. INTERNATIONAL JOURNAL OF EPIDEMIOLOGY
- Salt reduction in the United Kingdom: a successful experiment in public health
- (2013) F J He et al. JOURNAL OF HUMAN HYPERTENSION
- Use of Mendelian randomisation to assess potential benefit of clinical intervention
- (2012) S. Burgess et al. BMJ-British Medical Journal
- Level of Systolic Blood Pressure Within the Normal Range and Risk of Recurrent Stroke
- (2011) Bruce Ovbiagele et al. JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION
- Using multiple genetic variants as instrumental variables for modifiable risk factors
- (2011) Tom M Palmer et al. STATISTICAL METHODS IN MEDICAL RESEARCH
- METAL: fast and efficient meta-analysis of genomewide association scans
- (2010) C. J. Willer et al. BIOINFORMATICS
Find the ideal target journal for your manuscript
Explore over 38,000 international journals covering a vast array of academic fields.
SearchBecome a Peeref-certified reviewer
The Peeref Institute provides free reviewer training that teaches the core competencies of the academic peer review process.
Get Started