Michael Churton Neale

The paper estimates the covariance between liability to a disorder and age at onset in censored populations using a mixture distribution model applied to twin data.

The paper discusses methods for handling missing data in longitudinal neuroimaging datasets, using the ABCD Study as an example, and advocates for advanced statistical techniques over conventional approaches.

This study examines the causal relationship between amyloid-beta biomarkers and total Tau in twins, finding no direct causal link but suggesting a causal impact on neurofilament light chain.

This study uses twin-based Mendelian randomisation to find bidirectional causation between smoking and blood DNA methylation at multiple genomic sites.

The paper identifies smoking-reactive DNA methylation changes in monozygotic twins and shows reversibility upon smoking cessation.

The paper estimates heritability of cognitive phenotypes in the ABCD Study using mixed models and the FEMA package, finding narrower confidence intervals with SNP-derived genetic relatedness.

This paper introduces MRDoC2, a model for detecting bidirectional causation using instrumental variables and relative data, without requiring distinct genetic or environmental variance sources.

This study investigates the genetic and environmental factors influencing blood-based biomarkers related to Alzheimer's disease risk in middle-aged men.

This study investigates the genetic and environmental factors influencing longitudinal predicted brain ageing (PBA) using MRI data from mid to late-age males, finding significant genetic heritability and stability over time.

The paper describes the design and aims of the ABCD Study, discussing challenges in estimating meaningful associations and recommending best practices for research using its data.

This paper applies a 3-level multilevel model to twin data, showing that regional clustering explains 1.8% of children's height variance, which is ancestry-related and disappears after genetic principal components correction.

The paper identifies novel genetic loci associated with nicotine dependence and shows genetic correlations with other smoking traits and comorbidities using genome-wide association studies.

This study examines how early midlife lifestyle behaviors and young adult cognitive reserve influence late midlife brain aging and mild cognitive impairment.

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.

The paper shows that higher Alzheimer’s disease polygenic risk scores are linked to greater pupillary dilation during cognitive tasks in midlife, suggesting a genetic biomarker for early AD risk.

The paper describes neuroimaging processing methods for the ABCD Study to extract brain phenotypes from multimodal imaging data.

This paper explores estimating genotype-environment covariance in twin models by incorporating polygenic scores, showing increased statistical power when fixing variance explained by polygenic scores.

The paper identifies 161 genome-wide significant genetic associations for cortical structure traits across 34 brain regions, highlighting key biological pathways and gene functions.

The paper examines how genetic risk for coronary heart disease interacts with Alzheimer’s genetic risk to influence mild cognitive impairment risk in a cohort of 1,209 individuals.

Cross-disorder meta-analysis of eight psychiatric GWAS (232,964 cases, 494,162 controls) reports 109 loci shared by two or more disorders and three groups of correlated disorders.

This paper introduces MR-DoC, a twin-based model integrating Mendelian Randomization and Direction of Causation to test causal relationships while accounting for pleiotropy and improving statistical power.

This paper uses structural equation modeling to estimate maternal and fetal effects on birthweight using UK Biobank data, identifying SNPs with opposing effects.