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

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

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

Adjusting for Heritable Covariates Can Bias Effect Estimates in Genome-Wide Association Studies

(2015) Hugues Aschard et al.   AMERICAN JOURNAL OF HUMAN GENETICS

Mendelian Randomization: New Applications in the Coming Age of Hypothesis-Free Causality

(2015) David M. Evans et al.   Annual Review of Genomics and Human Genetics

A genome-wide association study of body mass index across early life and childhood

(2015) N. M. Warrington 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

Mendelian randomization: genetic anchors for causal inference in epidemiological studies

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

Network Mendelian randomization: using genetic variants as instrumental variables to investigate mediation in causal pathways

(2014) S. Burgess et al.   INTERNATIONAL JOURNAL OF EPIDEMIOLOGY

Genome-wide association study of height-adjusted BMI in childhood identifies functional variant inADCY3

(2014) Evangelia Stergiakouli et al.   Obesity

Using Multivariable Mendelian Randomization to Disentangle the Causal Effects of Lipid Fractions

(2014) Stephen Burgess et al.   PLoS One

Phenotypic Dissection of Bone Mineral Density Reveals Skeletal Site Specificity and Facilitates the Identification of Novel Loci in the Genetic Regulation of Bone Mass Attainment

(2014) John P. Kemp et al.   PLoS Genetics

Cohort Profile: The Avon Longitudinal Study of Parents and Children: ALSPAC mothers cohort

(2012) A. Fraser et al.   INTERNATIONAL JOURNAL OF EPIDEMIOLOGY

Cohort Profile: The ‘Children of the 90s’—the index offspring of the Avon Longitudinal Study of Parents and Children

(2012) Andy Boyd et al.   INTERNATIONAL JOURNAL OF EPIDEMIOLOGY

Two-step epigenetic Mendelian randomization: a strategy for establishing the causal role of epigenetic processes in pathways to disease

(2012) Caroline L Relton et al.   INTERNATIONAL JOURNAL OF EPIDEMIOLOGY

Genome-wide meta-analysis identifies 56 bone mineral density loci and reveals 14 loci associated with risk of fracture

(2012) Karol Estrada et al.   NATURE GENETICS

MaCH: using sequence and genotype data to estimate haplotypes and unobserved genotypes

(2010) Yun Li et al.   GENETIC EPIDEMIOLOGY

C-reactive protein levels and body mass index: elucidating direction of causation through reciprocal Mendelian randomization

(2010) N J Timpson et al.   INTERNATIONAL JOURNAL OF OBESITY

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

(2010) Hana Lango Allen et al.   NATURE

Association analyses of 249,796 individuals reveal 18 new loci associated with body mass index

(2010) Elizabeth K Speliotes et al.   NATURE GENETICS

Genotype Imputation

(2009) Yun Li et al.   Annual Review of Genomics and Human Genetics

Unraveling the Directional Link between Adiposity and Inflammation: A Bidirectional Mendelian Randomization Approach

(2009) Paul Welsh et al.   JOURNAL OF CLINICAL ENDOCRINOLOGY & METABOLISM

New gene variants alter type 2 diabetes risk predominantly through reduced beta-cell function

(2008) John RB Perry et al.   CURRENT OPINION IN CLINICAL NUTRITION AND METABOLIC CARE

How Does Body Fat Influence Bone Mass in Childhood? A Mendelian Randomization Approach

(2008) Nicholas J Timpson et al.   JOURNAL OF BONE AND MINERAL RESEARCH

Six new loci associated with body mass index highlight a neuronal influence on body weight regulation

(2008) Cristen J Willer et al.   NATURE GENETICS

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

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