Eleanor C. M. Sanderson

This study uses Mendelian randomization to examine the lifecourse effects of childhood and adulthood adiposity on sleep health outcomes, finding that adult adiposity is a risk factor for insomnia while childhood adiposity may have protective effects when maintained in adulthood.

This study uses Mendelian randomization to show loneliness causally increases schizophrenia and depression risk, partially mediated by inflammatory pathways.

This paper evaluates age-varying genetic effects on BMI and blood pressure traits using UK Biobank data, finding trait-dependent interactions that influence cardiovascular outcomes.

This study identifies DNA methylation at the SOCS3 gene as a factor influencing child height in low and middle-income countries, with a causal effect confirmed by Mendelian randomization.

This study uses Mendelian randomization to examine the causal effects of childhood and adulthood adiposity on anxiety and depression, finding childhood adiposity may protect against mental health issues if obesity is absent in adulthood.

This study uses multivariable Mendelian randomization to show that higher bone mineral density causally increases osteoarthritis risk independently of body mass index.

This study investigates genetic correlations and bidirectional effects between schizophrenia and cardiovascular disease, finding schizophrenia increases heart failure risk and early repolarization risk.

Summary-data conditional F-statistics detect conditionally weak instruments in multivariable Mendelian randomisation, and Q-statistic minimisation gives weak-instrument and balanced-pleiotropy robust estimates plus an exact pleiotropy test.

This paper uses Mendelian randomization to investigate causal links between genetic liability to ADHD/ASD and educational attainment, finding distinct causal effects for ADHD and ASD.

Multivariable and two-step Mendelian randomisation recovered direct and indirect effects with little bias in simulations with confounding or measurement error, conditions that biased phenotypic regression mediation.

This paper introduces within-family Mendelian randomization methods to reduce biases from family structure and shows they yield different results compared to population-based analyses.

This study identifies genetic associations with metabolite levels across multiple cohorts and links these variants to clinical outcomes like type 2 diabetes and macular telangiectasia type 2.

This study uses Mendelian randomization to show education and intelligence both causally lower Alzheimer's disease risk, with intelligence having an independent effect.