Nicholas A. Furlotte

This study conducts a genome-wide association study to identify genetic variants linked to musical beat synchronization, finding high polygenicity with 69 significant loci and heritability estimates of 13%-16%.

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 sex-differential participation bias in genetic studies by performing GWAS on sex in 3.3 million individuals, finding 158 loci associated with sex and highlighting traits like BMI that may influence participation.

This study identifies genetic loci associated with daytime napping and finds potential causal links between napping and cardiometabolic 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.

LDpred-funct adds baseline-LD functional priors to polygenic scores: average prediction R2 0.144 across 21 UK Biobank traits, a 4.6% relative gain over SBayesR.

This study identifies one known and two novel genetic variants associated with heart failure through GWAS and multi-omic analyses, revealing potential causal mechanisms and shared heritability with musculoskeletal traits.

The paper characterizes the prevalence and health consequences of uniparental disomy in four million individuals, identifying 675 cases and linking UPD of chromosome 22 to autism.

This study identifies two genetic loci, GDF5 and COL27A1, associated with knee pain through a genome-wide association analysis in the UK Biobank and replication in other cohorts.

This study conducts GWAS on impulsive personality traits and drug experimentation in 22,861 adults, identifying genetic associations and correlations with psychiatric disorders.

R/qtl2 is a software tool for QTL mapping in multi-parent populations and high-dimensional data, offering features like linear mixed models and SNP imputation.

Genetic correlations across 25 brain disorders (215,683 cases) reveal broad psychiatric common-variant sharing, largely distinct neurological disorders, and migraine as the only significant cross-category link.

This study shows common genetic variants significantly contribute to migraine family clustering, with higher burden in familial cases compared to population-based cases.

This study conducts a GWAS on depression phenotypes in UK Biobank, identifying genetic variants enriched in excitatory synaptic pathways.

MTAG improves GWAS results by combining summary statistics across traits, increasing significant loci and enhancing polygenic score variance.

This study investigates genetic mechanisms underlying sex bias in ADHD prevalence using genome-wide data and finds no mean polygenic burden difference across sexes but increased risk in female siblings and comorbid conditions.

The paper quantifies linkage disequilibrium (LD) dependent architecture of complex traits, finding that low LD SNPs have higher heritability, likely due to negative selection.

This study replicates and extends findings of CADM2 and MSRA gene associations with personality traits using data from 23andMe.