Albert Tenesa

This study identifies genetic and proteomic risk factors for delirium, highlighting APOE as a key gene and novel biomarkers, and suggests potential drug targets.

GSOR and MTAO detect widespread cis-regulatory effects on bovine complex traits by linking gene expression with genetic scores and multi-trait associations.

The paper describes a large DNA methylation dataset from the Generation Scotland cohort, providing methylation profiles and associated phenotypes for research purposes.

The paper estimates cancer risk in Lynch syndrome carriers using UK Biobank data, finding elevated colorectal and endometrial cancer risks but not breast cancer.

The paper presents PigGTEx, a resource linking genetic variants to transcriptomic phenotypes in pigs, showing pigs' similarity to humans in gene regulation and complex traits.

The paper quantifies how gene expression and splicing QTL explain heritability in cattle traits using Bayesian methods across 16 tissues.

The paper demonstrates a paradox in GWAS where markers can be both causal and non-causal and introduces a software tool to simulate such paradoxical phenotypes.

This study identifies human functional variants with conserved effects in livestock species, showing their utility for understanding disease mechanisms.

The paper examines rare variants in monogenic cerebral small vessel disease genes in UK Biobank participants, finding limited phenotype associations and suggesting issues with previous gene-phenotype links.

The paper constructs a cattle Genotype-Tissue Expression atlas and identifies genetic regulatory variants linked to gene expression and traits in cattle.

The paper analyzes pigmentation phenotypes in UK Biobank using DISSECT to identify new candidate genes and explore sex differences and geographic patterns in hair and skin color.

This paper identifies a common TMPRSS2 variant that reduces the risk of severe COVID-19 by impairing SARS-CoV-2 entry into cells.

This study identifies genetic loci associated with SARS-CoV-2 susceptibility and disease severity using GWAS and colocalization, and links them to eQTLs in various tissues.

This study examines sexual differences in genetic architecture across 530 traits in 450,000 UK Biobank individuals, finding sex-specific heritability and genetic correlations.

The paper analyzes SNP heritability estimation methods and shows that the correct model for inference does not require knowledge of the true genetic architecture.

The paper shows that parental longevity and disease history are correlated in UK Biobank couples, suggesting indirect assortative mating based on factors like BMI and genetics.

The paper maps the genetic architecture of hair colour in the UK population, identifying multiple loci and epistatic interactions contributing to red and blonde hair.

The paper presents an atlas of genetic associations for 617 traits using UK Biobank data, enabling easy access to GWAS results without high computational costs.

The paper identifies shared expression patterns of genetic variants across tissues and cell types, enabling fine mapping of disease-associated variants and revealing key cell types involved in disease pathogenesis.

The paper develops a genetic prediction model for anthropometric traits using a large dataset, achieving higher accuracy than previous methods.

DISSECT is a tool for analyzing large genomic datasets, achieving high prediction accuracy using mixed linear models on half a million individuals.