Andrew Anand Brown

Trans-eQTLs reveal the architecture of human gene regulatory networks

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

BrainXcan identifies brain features associated with behavioral and psychiatric traits using large scale genetic and imaging data

BrainXcan uses genetic and imaging data to identify brain features linked to psychiatric traits, finding reduced axonal density and hippocampal features associated with schizophrenia risk.

Genetic analysis of blood molecular phenotypes reveals regulatory networks affecting complex traits: a DIRECT study.

The paper identifies shared genetic regulation across mRNA, proteins, and metabolites in blood, revealing networks and mediators of GWAS variants.

XBP1 expression in pancreatic islet cells is associated with poor glycaemic control across ancestries especially in young non-obese onset diabetes

This study identifies XBP1 expression in pancreatic islets as a genetic factor associated with poor glycaemic control and increased T2DM risk in South and East Asians, particularly in young non-obese onset diabetes.

Pharmacogenomics of GLP-1 Receptor Agonists: A genome-wide analysis of observational data and large randomized controlled trials

This study identifies genetic variants associated with glycaemic response to GLP-1 receptor agonists using observational and trial data, finding variants in GLP-1R and ARRB1 linked to HbA1c reduction.

Unraveling the polygenic architecture of complex traits using blood eQTL meta-analysis

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.

Influence of genetic variants on gene expression in human pancreatic islets - implications for type 2 diabetes

The paper investigates how genetic variants affect gene expression in human pancreatic islets and identifies candidate genes linked to type 2 diabetes.

A vast resource of allelic expression data spanning human tissues

The paper presents a large ASE resource from GTEx v8 with 431 million SNP-level and 153 million haplotype-level measurements, and extends phASER to estimate cis regulatory variant effect sizes.

Cell type specific genetic regulation of gene expression across human tissues

The paper uses bulk RNA-seq data to estimate cell type abundances and identifies cell type interaction QTLs that provide finer resolution of tissue specificity than bulk cis-eQTLs.

Diverse transcriptomic signatures across human tissues identify functional rare genetic variation

Integrating expression, allelic expression and splicing across tissues identifies rare variants with relevance to traits.

A Quantitative Proteome Map of the Human Body

The paper quantifies protein levels across 32 human tissues and compares them to transcriptome data, revealing insights into post-transcriptional regulation and disease mechanisms.

The GTEx Consortium atlas of genetic regulatory effects across human tissues

GTEx v8 maps expression and splicing QTLs in 49 tissues from 838 donors: cis-eQTLs cover 94.7% of protein-coding genes, and cross-tissue QTL sharing mirrors cell-type composition.

Age-dependent changes in mean and variance of gene expression across tissues in a twin cohort

The paper quantifies age-related changes in gene expression levels, splicing, and variance across tissues and identifies environmental and genetic influences on these changes in a twin cohort.

Predicting causal variants affecting expression using whole genome sequence and RNA-seq from multiple human tissues.

The paper uses whole genome sequence and RNA-seq to predict causal variants affecting gene expression and identifies high confidence causal variants enriched in GWAS associations.

A complete tool set for molecular QTL discovery and analysis

QTLtools is a modular framework for molecular QTL discovery and analysis, integrating data preparation, molQTL detection, and GWAS variant integration.

Pathway based factor analysis of gene expression data produces highly heritable phenotypes that associate with age

The paper uses pathway-based factor analysis on gene expression data to identify heritable phenotypes linked to age, finding 69 significant associations across KEGG pathways.