Madhurbain Singh

Age at Onset and Liability to Disorder: Estimating Covariances in Censored Populations

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.

Prioritizing Genes and Rare Protein-Coding Variants in Acute Myeloid Leukemia via Whole Genome Sequencing Data

The paper identifies rare and common genetic variants associated with acute myeloid leukemia using whole-genome sequencing data from the All of Us Research Program.

Trans-ancestry genome-wide association meta-analysis of antidepressant response to selective serotonin reuptake inhibitors in clinical studies of depression

This study performs a trans-ancestry GWAS of SSRI response in depression, finding suggestive associations and enrichment in serotonergic pathways but no genome-wide significant variants.

Clustering of major depressive disorder genetic instruments identifies distinct and directionally opposing effects on cardiometabolic risk

This study uses MR-Clust to identify three MDD genetic clusters with opposing effects on T2D and cardiometabolic risk, linking them to distinct biological pathways and depression subtypes.

Trans-ancestry Genome-Wide Analyses in UK Biobank Yield Novel Risk Loci for Major Depression

This study conducts trans-ancestry GWAS on UK Biobank data to identify novel MDD risk loci, finding 61 loci with increased sample size and ancestry inclusivity.

Prevalence and disease risks for male and female sex chromosome trisomies: a registry-based phenome-wide association study in 1.5 million participants of MVP, FinnGen, and UK Biobank

This study identifies prevalence and disease risks for male and female sex chromosome trisomies using registry data from 1.5 million participants, finding shared phenotypic associations across trisomy subtypes.

Unidirectional and Bidirectional Causation between Smoking and Blood DNA Methylation: Evidence from Twin-based Mendelian Randomisation

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

MR-DoC2: bidirectional causal modeling with instrumental variables and data from relatives

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