Andrew Mark McIntosh

This study examines the association between polygenic risk scores for Major Depressive Disorder derived from the NETRIN1 pathway and whole-genome variants with white matter microstructure in the UK Biobank.

The paper investigates the genetic and environmental contributions to stressful life events and their overlap with depression and neuroticism using a large family-based sample.

This study identifies 28 genetic loci associated with broadly-defined headache using UK Biobank data, including 14 new loci and 14 previously linked to migraine.

This study uses MTAG to combine GWAS of education and income with a GWAS of intelligence, identifying 107 loci and 233 genes associated with intelligence.

The paper uses family data to estimate genetic effects on intelligence and personality, finding that rare variants explain more variance than previously reported using unrelated individuals.

This study performs genome-wide meta-analyses of depression in two large cohorts, finding one significant locus and suggesting larger sample sizes may be more informative than phenotypic stratification.

The paper examines the relationship between DNA methylation age acceleration and Alzheimer’s disease risk factors, finding significant associations with BMI, cholesterol ratios, socioeconomic status, and smoking behavior.

The paper identifies 116 independent genetic variants associated with neuroticism in over 329,000 UK Biobank participants and finds genetic correlations with mental health traits.

The paper examines the association between APOE e4 genotype and brain structural ageing phenotypes in UK Biobank, finding a significant link with white matter hyperintensity volumes but no age interaction.

This study performs a genome-wide haplotype-based association analysis for major depressive disorder using two cohorts, identifying significant haplotypes potentially linked to the disorder.

This study finds accelerated epigenetic ageing in major depressive disorder (MDD) cases compared to controls using the Horvath clock, partially mediated through BMI.

This study examines the genetic architecture of trail making test performance and its genetic correlations with cognitive functions in UK Biobank participants.

The paper investigates the relationship between polygenic risk scores for schizophrenia and psychotic features in bipolar disorder, finding a gradient of genetic liability based on the level of mood-incongruent symptoms.

The paper demonstrates the research value of linking Electronic Health Records to genetic data in Generation Scotland participants and describes access mechanisms.

This study investigates shared genetic architecture between subcortical brain volumes and MDD using GWAS data from multiple cohorts, finding a non-significant positive genetic correlation for hippocampal volume.

This study conducts a GWAS of alcohol consumption in UK Biobank, identifying 8 loci, including novel associations, and reports genetic overlaps with schizophrenia, HDL cholesterol, smoking, and anthropometric traits.

This study finds reduced white matter integrity in individuals with major depressive disorder using UK Biobank imaging data, but no significant subcortical volume differences.

The paper investigates rare disruptive variants in the DISC1 Interactome and Regulome, finding associations with schizophrenia and cognitive ability in psychiatric patients.

The paper examines the genetic architectures of two neuroticism factors and finds they are associated with positive outcomes like affluence and longer life, unlike the general neuroticism factor.

The paper evaluates 15 candidate SNPs associated with psychiatric disorders using 6,165 diffusion MRI scans, finding no significant associations after correction for multiple testing.

This study investigates the genetic basis of self-reported tiredness using UK Biobank data, finding heritability and genetic correlations with multiple health and psychological traits.

This study examines the genetic overlap between major psychiatric disorders and brain structure in UK Biobank data but finds no significant associations.

This study identifies shared genetic and couple-associated environmental factors contributing to both clinical and self-declared depression risks.

This study identifies genetic variants associated with self-rated health and finds that genetic factors explain 13% of its variance, overlapping with traits like BMI, depression, and cognitive ability.

This study investigates the interaction between polygenic risk scores for schizophrenia and major depressive disorder (MDD) in two cohorts, finding reduced case-control differences in distress and neuroticism with higher schizophrenia risk.

This study identifies 50 novel schizophrenia GWAS loci and shows common risk variants are enriched in mutation-intolerant genes maintained by background selection.

The paper identifies polymorphic and off-target probe binding sites on the Illumina Infinium MethylationEPIC BeadChip using in silico methods to improve data quality.

The paper investigates genetic pleiotropy between neuroticism and 12 mental and physical health traits using UK Biobank data and GWAS summary statistics, finding significant genetic correlations with several conditions.

The paper identifies rare loss-of-function variants in KMT2F associated with schizophrenia and developmental disorders, showing their role in neurodevelopmental conditions.

The paper identifies genetic variants associated with social deprivation and household income using UK Biobank data, finding shared genetic links with health and cognitive traits.