The paper introduces a robust statistical test for detecting associations with both mean and variability in high-dimensional phenotypes, applied to DNA methylation data.

European Journal of Epidemiology · Oct 15, 2021Peer-reviewedBioinformatics

Within-family studies for Mendelian randomization: avoiding dynastic, assortative mating, and population stratification biases

Ben Michael Brumpton, Eleanor C. M. Sanderson, Karl Heilbron, Fernando Pires Hartwig, Sean Harrison, Gunnhild Åberge Vie, Yoonsu Cho, Laura D Howe, Amanda Hughes, Dorret Irene Boomsma, Alexandra Havdahl, John Llewelyn Hopper, Michael Churton Neale, Michel Guillaume Nivard, Nancy L. Pedersen, , Neil M Davies

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.

Nature Communications · Jul 14, 2020Peer-reviewedGenetics

The Causal Effects of Education on Health, Mortality, Cognition, Well-being, and Income in the UK Biobank

Neil M Davies, Matt Dickson, George Davey Smith, Gerard van den Berg, Frank Windmeijer

This study uses a natural experiment to estimate the causal effects of education on health, mortality, cognition, well-being, and income using UK Biobank data.

bioRxiv · Sep 13, 2016 · PreprintEpidemiology