Grant W. Montgomery

This paper identifies 116 risk loci for melanoma through GWAS, links susceptibility to immunity and Wnt signaling, and develops a PRS improving risk prediction.

This study uses DNA methylation data to predict endometriosis status and menstrual cycle phase, finding strong performance for cycle phase and moderate performance for endometriosis.

The paper characterizes human endometrial stem/progenitor cells using scRNA-seq, identifying key markers and signaling pathways involved in their function and interactions.

This study conducts a large-scale GWAS meta-analysis of nevus count, identifying 29 new loci and highlighting immune-related pathways relevant to melanoma risk.

The paper maps cis- and trans-eQTLs in blood samples to infer gene regulatory networks and prioritize trait-relevant pathways.

The paper uses deconvolution on bulk RNA-seq data to identify cell type proportions and expression signatures linked to endometrial function and disease in women with and without endometriosis.

The paper identifies USP18 as a negative regulator of interferon response at a lupus risk locus through trans-eQTL analysis in lymphoblastoid cell lines.

This study identifies M2 macrophages and IL1 signaling as key mediators of endometriosis risk and shows their pleiotropic role in comorbid traits.

OTTERS is a TWAS framework that uses summary-level eQTL reference data to estimate eQTL weights and perform omnibus TWAS, showing improved power and applicability.

This study identifies rare genetic variants associated with extreme DNA methylation levels and shows their impact on gene expression in healthy ageing populations.

The paper analyzes endometrial DNA methylation and genetic variants to identify mQTLs and their association with endometriosis risk and menstrual cycle phases.

This study identifies genetic heterogeneity in ulcerative colitis by analyzing genome-wide associations in mild and severe cases, finding distinct risk variants and a genetic risk score with no difference between mild and severe disease.

The paper uses blood eQTL meta-analysis to explore the polygenic architecture of complex traits, finding that trans-eQTLs are more informative for identifying causal genes than cis-eQTLs.

The paper identifies genetic variants influencing DNA methylation in blood and shows their associations with complex traits and diseases, but finds limited direct causality.

This study performs a GWAS on random glucose measurements in 493,036 individuals, identifying 128 loci associated with glycaemic traits and providing insights into diabetes biology and treatment.

This study identifies traits associated with polygenic risk for depression using UK Biobank data and finds causal links between depression risk and brain structure, as well as environmental interactions.

scSplit demultiplexes pooled single-cell RNA-Seq samples using genetic differences inferred from the data, showing high accuracy and consistency with known truths.

This paper introduces TWMR, a Mendelian Randomization method that identifies gene-trait associations by integrating GWAS and eQTL data, revealing 3,913 novel associations across 43 human phenotypes.

The paper examines how X-linked dosage compensation affects genetic variation in complex traits, finding more genetic variation in males than females for X-linked loci.

This study identifies genetic variants associated with sporadic and recurrent miscarriage through large-scale association analyses and Mendelian randomization.

The paper identifies five distinct subtypes of colorectal cancer using DNA methylation profiling and links them to specific mutations and gene body methylation patterns.

This study identifies 93 genetic loci associated with kidney function across four ancestry groups and highlights causal effects on kidney-related diseases.

The paper replicates 55,000 DNA methylation QTLs using two cohorts and finds enrichment of trans mQTLs in specific genomic regions and complex traits.

This paper identifies novel pleiotropic risk loci for melanoma and nevus density, implicating multiple biological pathways and gene expression under MITF regulation.

The paper improves age prediction from DNA methylation using larger datasets, showing reduced error and limitations in capturing biological ageing variation.

The paper applies polygenic risk scoring to a large family with bipolar and depressive disorders to study genetic risk patterns and anticipation.

The paper describes the methods and recruitment strategies of the Anorexia Nervosa Genetics Initiative (ANGI), which successfully enrolled 13,364 individuals with AN and controls for genetic research.

This study identifies 206 new genomic loci and 1,041 genes associated with intelligence using a large GWAS meta-analysis of 279,930 individuals.

The paper identifies gene targets for brain-related traits using transcriptomic and methylomic data from blood, finding strong correlations between genetic effects in brain and blood tissues.