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

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

Consistent Estimation in Mendelian Randomization with Some Invalid Instruments Using a Weighted Median Estimator

(2016) Jack Bowden et al.   GENETIC EPIDEMIOLOGY

Using Mendelian randomization to investigate a possible causal relationship between adiposity and increased bone mineral density at different skeletal sites in children

(2016) John P Kemp et al.   INTERNATIONAL JOURNAL OF EPIDEMIOLOGY

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

(2015) Stephen Burgess et al.   EUROPEAN JOURNAL OF EPIDEMIOLOGY

Mendelian randomization: where are we now and where are we going?

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

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

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

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

(2015) Adam E. Locke et al.   NATURE

Defining the role of common variation in the genomic and biological architecture of adult human height

(2014) Andrew R Wood et al.   NATURE GENETICS

The many weak instruments problem and Mendelian randomization

(2014) Neil M. Davies et al.   STATISTICS IN MEDICINE

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

Hundreds of variants clustered in genomic loci and biological pathways affect human height

(2010) Hana Lango Allen et al.   NATURE