相关参考文献
注意:仅列出部分参考文献,下载原文获取全部文献信息。Obesity as a Causal Risk Factor for Aortic Valve Stenosis
Morten Kaltoft et al.
JOURNAL OF THE AMERICAN COLLEGE OF CARDIOLOGY (2020)
Genome-wide association and multi-omic analyses reveal ACTN2 as a gene linked to heart failure
Marios Arvanitis et al.
NATURE COMMUNICATIONS (2020)
The Influence of Baseline Diastolic Blood Pressure on the Effects of Intensive Blood Pressure Lowering on Cardiovascular Outcomes and All-Cause Mortality in Type 2 Diabetes
Olesya L. Ilkun et al.
DIABETES CARE (2020)
Meta-analysis of genome-wide association studies for body fat distribution in 694 649 individuals of European ancestry
Sara L. Pulit et al.
HUMAN MOLECULAR GENETICS (2019)
Body mass index and all cause mortality in HUNT and UK Biobank studies: linear and non-linear mendelian randomisation analyses
Yi-Qian Sun et al.
BMJ-BRITISH MEDICAL JOURNAL (2019)
Use of Genetic Variants Related to Antihypertensive Drugs to Inform on Efficacy and Side Effects
Dipender Gill et al.
CIRCULATION (2019)
Effect of Systolic and Diastolic Blood Pressure on Cardiovascular Outcomes
Alexander C. Flint et al.
NEW ENGLAND JOURNAL OF MEDICINE (2019)
Association of Blood Pressure and Risk of Cardiovascular and Chronic Kidney Disease in Hong Kong Hypertensive Patients
Eric Yuk Fai Wan et al.
HYPERTENSION (2019)
Association of Genetic Variants Related to Combined Exposure to Lower Low-Density Lipoproteins and Lower Systolic Blood Pressure With Lifetime Risk of Cardiovascular Disease
Brian A. Ference et al.
JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION (2019)
An examination of multivariable Mendelian randomization in the single-sample and two-sample summary data settings
Eleanor Sanderson et al.
INTERNATIONAL JOURNAL OF EPIDEMIOLOGY (2019)
Meta-analysis of non-linear exposure-outcome relationships using individual participant data: A comparison of two methods
Ian R. White et al.
STATISTICS IN MEDICINE (2019)
Multiancestry genome-wide association study of 520,000 subjects identifies 32 loci associated with stroke and stroke subtypes
Rainer Malik et al.
NATURE GENETICS (2018)
Reading Mendelian randomisation studies: a guide, glossary, and checklist for clinicians
Neil M. Davies et al.
BMJ-BRITISH MEDICAL JOURNAL (2018)
Reading Mendelian randomisation studies: a guide, glossary, and checklist for clinicians
Neil M. Davies et al.
BMJ-BRITISH MEDICAL JOURNAL (2018)
Efficiently controlling for case-control imbalance and sample relatedness in large-scale genetic association studies
Wei Zhou et al.
NATURE GENETICS (2018)
Genetic analysis of over 1 million people identifies 535 new loci associated with blood pressure traits
Evangelos Evangelou et al.
NATURE GENETICS (2018)
Treatment of Hypertension Addressing a Global Health Problem
Arman Qamar et al.
JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION (2018)
Semiparametric methods for estimation of a nonlinear exposure-outcome relationship using instrumental variables with application to Mendelian randomization
James R. Staley et al.
GENETIC EPIDEMIOLOGY (2017)
Achieved blood pressure and cardiovascular outcomes in high-risk patients: results from ONTARGET and TRANSCEND trials
Michael Boehm et al.
LANCET (2017)
Benefit and harm of intensive blood pressure treatment: Derivation and validation of risk models using data from the SPRINT and ACCORD trials
Sanjay Basu et al.
PLOS MEDICINE (2017)
The J-shaped Curve for Blood Pressure and Cardiovascular Disease Risk: Historical Context and Recent Updates
Faisal Rahman et al.
CURRENT ATHEROSCLEROSIS REPORTS (2017)
Consistent Estimation in Mendelian Randomization with Some Invalid Instruments Using a Weighted Median Estimator
Jack Bowden et al.
GENETIC EPIDEMIOLOGY (2016)
Bias due to participant overlap in two-sample Mendelian randomization
Stephen Burgess et al.
GENETIC EPIDEMIOLOGY (2016)
Pulse Pressure and Risk for Cardiovascular Events in Patients With Atherothrombosis From the REACH Registry
Senthil Selvaraj et al.
JOURNAL OF THE AMERICAN COLLEGE OF CARDIOLOGY (2016)
Troponin and the J-Curve of Diastolic Blood Pressure When Lower Is Not Better
Deepak L. Bhatt
JOURNAL OF THE AMERICAN COLLEGE OF CARDIOLOGY (2016)
Diastolic Blood Pressure, Subclinical Myocardial Damage, and Cardiac Events Implications for Blood Pressure Control
John W. McEvoy et al.
JOURNAL OF THE AMERICAN COLLEGE OF CARDIOLOGY (2016)
Cardiovascular event rates and mortality according to achieved systolic and diastolic blood pressure in patients with stable coronary artery disease: an international cohort study
Emmanuelle Vidal-Petiot et al.
LANCET (2016)
Reference-based phasing using the Haplotype Reference Consortium panel
Po-Ru Loh et al.
NATURE GENETICS (2016)
Identification of genomic loci associated with resting heart rate and shared genetic predictors with all-cause mortality
Ruben N. Eppinga et al.
NATURE GENETICS (2016)
Next-generation genotype imputation service and methods
Sayantan Das et al.
NATURE GENETICS (2016)
Multivariable Mendelian Randomization: The Use of Pleiotropic Genetic Variants to Estimate Causal Effects
Stephen Burgess et al.
AMERICAN JOURNAL OF EPIDEMIOLOGY (2015)
Modeling Linkage Disequilibrium Increases Accuracy of Polygenic Risk Scores
Bjarni J. Vilhjalmsson et al.
AMERICAN JOURNAL OF HUMAN GENETICS (2015)
Mendelian randomization with invalid instruments: effect estimation and bias detection through Egger regression
Jack Bowden et al.
INTERNATIONAL JOURNAL OF EPIDEMIOLOGY (2015)
A Randomized Trial of Intensive versus Standard Blood-Pressure Control
Jackson T. Wright et al.
NEW ENGLAND JOURNAL OF MEDICINE (2015)
Ezetimibe Added to Statin Therapy after Acute Coronary Syndromes
Christopher P. Cannon et al.
NEW ENGLAND JOURNAL OF MEDICINE (2015)
Instrumental Variable Analysis with a Nonlinear Exposure-Outcome Relationship
Stephen Burgess et al.
EPIDEMIOLOGY (2014)
Inactivating Mutations in NPC1L1 and Protection from Coronary Heart Disease
Nathan O. Stitziel et al.
NEW ENGLAND JOURNAL OF MEDICINE (2014)
Avoiding bias from weak instruments in Mendelian randomization studies
Stephen Burgess et al.
INTERNATIONAL JOURNAL OF EPIDEMIOLOGY (2011)
Data quality control in genetic case-control association studies
Carl A. Anderson et al.
NATURE PROTOCOLS (2010)