Andrew Mark McIntosh

The paper evaluates normalization methods for DNA methylation data to improve BMI prediction across cohorts when projecting new data onto a reference panel.

The paper refines epigenetic predictors of chronological and biological age using large-scale EWAS and external validation, improving cAge prediction and outperforming existing bAge predictors.

The paper identifies parent-of-origin effects on the methylome linked to aging rates by analyzing CpG methylation in a large family cohort.

The paper conducts blood-based epigenome-wide association studies on 19 disease states, identifying novel CpG-disease associations and highlighting poor replication in existing literature.

The paper shows that local CpG density influences age-related DNA methylation changes in humans by analyzing longitudinal methylation data and SNP data from 600 individuals.

This study characterizes MDD subgroups based on weight and sleep changes, finding distinct clinical and genetic profiles, including novel associations with epilepsy and immunometabolic genes.

The paper identifies DNA methylation and proteomic markers associated with brain health through integrated methylome and phenome analyses.

This study calculates pathway-based polygenic risk scores for schizophrenia using gene-sets related to synaptic function and histone modification, and finds associations with neuroimaging and clinical traits in UK Biobank.

This study identifies four genetic factors underlying 11 psychiatric disorders and finds limited evidence for a single dimension of genetic risk across them.

Exomes of 24,248 schizophrenia cases and 97,322 controls implicate ultra-rare damaging variants in 10 genes, including GRIN2A and GRIA3, with odds ratios of 3 to 50.

This study compares DNA methylation signatures of ageing and inflammation in blood and brain tissues, finding divergent correlations and a link between epigenetic age acceleration and microglial burdens in the hippocampus.

This study compares gene expression responses to statins and antidepressants, finding shared immune pathway perturbations and associations with monocyte and platelet metrics.

This study examines genome-by-trauma interaction effects on depression using whole genome data and finds significant variance explained by these interactions, particularly in males.

The paper identifies KRAB-ZFP genes' influence on CpG-site methylation and links these methylation patterns to disease phenotypes like rheumatoid arthritis and HIV infection.

This study identifies DNA methylation predictors of cognitive function using blood samples, showing they explain variance in cognitive ability and associate with biological markers.

The paper develops epigenetic scores (EpiScores) for plasma proteins to predict disease risk, finding 137 associations with incident morbidities independent of known factors.

SNHap-RHM jointly maps common and rare genetic variation affecting complex traits by combining SNP and haplotype-based genomic relationship matrices, identifying significant genomic regions for height and MDD.

The paper identifies genetic and epigenetic factors influencing plasma protein levels linked to Alzheimer's disease, finding novel associations with TREM2 and TBCA.

This study identifies modifiable parent-of-origin effects on DNA methylation by analyzing genetic and environmental factors in a large cohort.

This paper develops a transcriptome-based polygenic risk score (T-PRS) linking depression-related cortical gene expression changes to brain morphology and symptom severity in MDD.

This study performs a meta-analysis of GWAS on self-reported headache and migraine, identifying four new risk loci for headaches using 397,385 samples.

This study investigates the relationship between early life stressors and adult mental health through methylome-wide association studies, finding no evidence of methylome mediation but linking birth date to blood cell type composition.

This study uses genome-wide methylation data to assess the impact of smoking and gene-smoking interactions on obesity-related traits, showing improved variance explanation compared to traditional methods.

This study identifies 178 independent risk loci for depression through a large meta-analysis across multiple cohorts, including fine-mapping and transcriptome-wide association findings.

This study conducts a sex-stratified genome-wide association study of multisite chronic pain in UK Biobank, identifying sex-specific genetic loci and highlighting sex differences in chronic pain mechanisms.

The paper reports exome sequencing findings in bipolar disorder, identifying AKAP11 as a shared risk gene with schizophrenia through ultra-rare protein-truncating variants.

The paper develops a DNA methylation-based proxy for interleukin-6 and finds it correlates with age and cognitive functioning better than serum IL-6.

This study identifies three dimensions of cortical ageing in the human brain and links the most general dimension to cognitive decline across multiple domains in older adults.

The paper analyzes sex differences in brain structure variability across the lifespan using a large dataset, finding greater male variability in subcortical volumes, cortical surface area, and thickness in most regions.