Two-sample Mendelian randomization: avoiding the downsides of a powerful, widely applicable but potentially fallible technique

Best (but oft-forgotten) practices: the design, analysis, and interpretation of Mendelian randomization studies

(2016) Philip C Haycock et al.   AMERICAN JOURNAL OF CLINICAL NUTRITION

BMI as a Modifiable Risk Factor for Type 2 Diabetes: Refining and Understanding Causal Estimates Using Mendelian Randomization

(2016) Laura J. Corbin et al.   DIABETES

Telomere length and health outcomes: A two-sample genetic instrumental variables analysis

(2016) Rita Hamad et al.   EXPERIMENTAL GERONTOLOGY

Mendelian randomization study of adiposity-related traits and risk of breast, ovarian, prostate, lung and colorectal cancer

(2016) Chi Gao et al.   INTERNATIONAL JOURNAL OF EPIDEMIOLOGY

Commentary: Two-sample Mendelian randomization: opportunities and challenges

(2016) Debbie A Lawlor   INTERNATIONAL JOURNAL OF EPIDEMIOLOGY

Why internal weights should be avoided (not only) in MR-Egger regression

(2016) Fernando Pires Hartwig et al.   INTERNATIONAL JOURNAL OF EPIDEMIOLOGY

Maelstrom Research guidelines for rigorous retrospective data harmonization

(2016) Isabel Fortier et al.   INTERNATIONAL JOURNAL OF EPIDEMIOLOGY

Selecting instruments for Mendelian randomization in the wake of genome-wide association studies

(2016) Daniel I Swerdlow et al.   INTERNATIONAL JOURNAL OF EPIDEMIOLOGY

The Mass Production of Redundant, Misleading, and Conflicted Systematic Reviews and Meta-analyses

(2016) JOHN P.A. IOANNIDIS   MILBANK QUARTERLY

Genome-wide association study identifies 74 loci associated with educational attainment

(2016) Aysu Okbay et al.   NATURE

Investigating the Causal Relationship of C-Reactive Protein with 32 Complex Somatic and Psychiatric Outcomes: A Large-Scale Cross-Consortium Mendelian Randomization Study

(2016) Bram. P. Prins et al.   PLOS MEDICINE

A significant causal association between C-reactive protein levels and schizophrenia

(2016) Masatoshi Inoshita et al.   Scientific Reports

Mendelian randomization with invalid instruments: effect estimation and bias detection through Egger regression

(2015) J. Bowden et al.   INTERNATIONAL JOURNAL OF EPIDEMIOLOGY

New genetic loci link adipose and insulin biology to body fat distribution

(2015) Dmitry Shungin et al.   NATURE

A global reference for human genetic variation

(2015) Richard A. Gibbs et al.   NATURE

Genetic studies of body mass index yield new insights for obesity biology

(2015) Adam E. Locke et al.   NATURE

Adding Mendelian randomization to a meta-analysis—a burgeoning opportunity

(2015) Wenquan Niu et al.   TUMOR BIOLOGY

Mendelian randomization: genetic anchors for causal inference in epidemiological studies

(2014) G. Davey Smith et al.   HUMAN MOLECULAR GENETICS

Clinical Effect of Naturally Random Allocation to Lower Systolic Blood Pressure Beginning Before the Development of Hypertension

(2014) Brian A. Ference et al.   HYPERTENSION

Biological insights from 108 schizophrenia-associated genetic loci

(2014)   NATURE

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

Novel Loci for Adiponectin Levels and Their Influence on Type 2 Diabetes and Metabolic Traits: A Multi-Ethnic Meta-Analysis of 45,891 Individuals

(2012) Zari Dastani et al.   PLoS Genetics

Meta-Analysis of Genome-Wide Association Studies in >80 000 Subjects Identifies Multiple Loci for C-Reactive Protein Levels

(2011) Abbas Dehghan et al.   CIRCULATION

Genotype imputation for genome-wide association studies

(2010) Jonathan Marchini et al.   NATURE REVIEWS GENETICS

Bayesian Meta-Analysis of Genetic Association Studies with Different Sets of Markers

(2008) Claudio Verzilli et al.   AMERICAN JOURNAL OF HUMAN GENETICS

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

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