Using published data in Mendelian randomization: a blueprint for efficient identification of causal risk factors

Multivariable Mendelian Randomization: The Use of Pleiotropic Genetic Variants to Estimate Causal Effects

(2015) S. Burgess et al.   AMERICAN JOURNAL OF EPIDEMIOLOGY

Efficient Design for Mendelian Randomization Studies: Subsample and 2-Sample Instrumental Variable Estimators

(2013) B. L. Pierce et al.   AMERICAN JOURNAL OF EPIDEMIOLOGY

Mendelian Randomization Analysis With Multiple Genetic Variants Using Summarized Data

(2013) Stephen Burgess et al.   GENETIC EPIDEMIOLOGY

Use of allele scores as instrumental variables for Mendelian randomization

(2013) Stephen Burgess et al.   INTERNATIONAL JOURNAL OF EPIDEMIOLOGY

Lipoprotein Subclass Profiling Reveals Pleiotropy in the Genetic Variants of Lipid Risk Factors for Coronary Heart Disease

(2013) Peter Würtz et al.   JOURNAL OF THE AMERICAN COLLEGE OF CARDIOLOGY

Association of plasma uric acid with ischaemic heart disease and blood pressure: mendelian randomisation analysis of two large cohorts

(2013) T. M. Palmer et al.   BMJ-British Medical Journal

Association of Genome-Wide Variation With Highly Sensitive Cardiac Troponin-T Levels in European Americans and Blacks

(2012) Bing Yu et al.   Circulation-Cardiovascular Genetics

Circulating 25-hydroxyvitamin D concentration and the risk of type 2 diabetes: results from the European Prospective Investigation into Cancer (EPIC)-Norfolk cohort and updated meta-analysis of prospective studies

(2012) N. G. Forouhi et al.   DIABETOLOGIA

The interleukin-6 receptor as a target for prevention of coronary heart disease: a mendelian randomisation analysis

(2012)   LANCET

Large-scale association analysis provides insights into the genetic architecture and pathophysiology of type 2 diabetes

(2012)   NATURE GENETICS

Large-scale association analyses identify new loci influencing glycemic traits and provide insight into the underlying biological pathways

(2012) Robert A Scott et al.   NATURE GENETICS

Developing the 2011 Integrated Pediatric Guidelines for Cardiovascular Risk Reduction

(2012) S. S. Gidding et al.   PEDIATRICS

Use of Mendelian randomisation to assess potential benefit of clinical intervention

(2012) S. Burgess et al.   BMJ-British Medical Journal

Design and cohort description of the InterAct Project: an examination of the interaction of genetic and lifestyle factors on the incidence of type 2 diabetes in the EPIC Study

(2011)   DIABETOLOGIA

Avoiding bias from weak instruments in Mendelian randomization studies

(2011) Stephen Burgess et al.   INTERNATIONAL JOURNAL OF EPIDEMIOLOGY

Genetic variants in novel pathways influence blood pressure and cardiovascular disease risk

(2011) Georg B. Ehret et al.   NATURE

Large-scale association analysis identifies 13 new susceptibility loci for coronary artery disease

(2011) Heribert Schunkert et al.   NATURE GENETICS

Common variants in the calcium-sensing receptor gene are associated with total serum calcium levels

(2010) Conall M. O'Seaghdha et al.   HUMAN MOLECULAR GENETICS

Genome-Wide Meta-Analysis for Serum Calcium Identifies Significantly Associated SNPs near the Calcium-Sensing Receptor (CASR) Gene

(2010) Karen Kapur et al.   PLoS Genetics

Mendelian Randomization: How It Can--and Cannot--Help Confirm Causal Relations between Nutrition and Cancer

(2009) A. Schatzkin et al.   Cancer Prevention Research

Genetically Elevated Lipoprotein(a) and Increased Risk of Myocardial Infarction

(2009) Pia R. Kamstrup   JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION

Mendelian randomization: Using genes as instruments for making causal inferences in epidemiology

(2007) Debbie A. Lawlor et al.   STATISTICS IN MEDICINE