Lili A. Milani

This study identifies 131 CNV signals associated with 47 complex traits in the UK Biobank, revealing new gene functions and linking CNVs to decreased longevity and health outcomes.

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 uses Mendelian randomization to test if SMOX levels causally affect cancer risk, finding no significant association with six cancer types.

This study identifies five genetic risk loci for pernicious anemia through a genome-wide association analysis and links the disease to the HLA-DR15 haplotype.

The paper constructs polygenic indexes for 47 phenotypes across 11 datasets and provides a tool to correct errors-in-variables bias when using PGIs as proxies for the additive SNP factor.

The paper identifies novel genetic loci associated with blood pressure that interact with sleep duration across multiple ancestries.

This study identifies 15 new risk loci for otosclerosis and replicates known associations, highlighting shared genetic links with skeletal structure and bone-related disorders.

This study identifies 48 genetic variants associated with handedness using a large GWAS, highlighting polygenic nature and genetic links to neuropsychiatric traits.

The paper identifies HLA-B*55:01 as a genetic risk factor for penicillin allergy through genome-wide analysis of electronic health records and imputed HLA data.

This study identifies 137 genome-wide significant loci associated with DNA methylation biomarkers of ageing using DNAm and SNP data from over 41,000 individuals.

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.

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.

This study finds that genetically or therapeutically lowering sclerostin increases cardiovascular risk, based on genetic variant analysis and clinical trial data.

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

This study identifies 139 common and 4 rare genetic variants associated with type 2 diabetes through GWAS and integrates gene expression and epigenomic data to highlight potential functional genes and regulatory mechanisms.

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.

Genome-wide association meta-analysis of 130,664 major depression cases and 330,470 controls identifies 44 independent risk loci enriched in cortical neurons, conserved mammalian regions, splicing networks, and antidepressant targets.

The paper integrates transcriptomic, metabolomic, and genomic data to identify gene networks and their genetic regulation linked to immune function and circulating metabolites.

This study investigates the association between CpG methylation and educational attainment, finding limited significant associations that may be influenced by confounding factors.