Marco Galimberti

This paper conducts a large-scale epigenome-wide association study of PTSD in the Million Veteran Program, identifying 272 CpG sites associated with PTSD traits and replicating prior findings.

This study conducts a multi-ancestry GWAS meta-analysis of 2.5 million participants to identify genetic variants associated with migraine and link them to biological pathways and therapeutic targets.

This study identifies 49 CpG sites associated with generalized anxiety disorder across three ancestries but finds limited replication in an independent cohort.

This study identifies 77 genetic loci associated with suicidality through genome-wide association analyses across multiple cohorts and provides biological insights into its genetic architecture.

This study identifies 40 genome-wide significant loci for SSRI use and finds genetic correlations with psychiatric and medical traits, suggesting SSRI use is a proxy for MDD with distinct genetic architecture.

This study investigates the genetic basis of physical activity across different contexts and finds that leisure-time activity has distinct genetic influences and protective health effects.

This paper conducts a multi-ancestry GWAS of sleep duration, identifying 234 genome-wide significant loci and showing distinct genetic architecture from other sleep and psychiatric traits.

This study performs a multi-ancestral GWAS of DSM-defined nicotine dependence, finding genetic correlations with other substance use disorders and health traits, and identifying a strong general addiction liability factor.

This study conducts a genome-wide association analysis of the Big Five personality traits, identifying novel genetic loci and associations with psychiatric traits.

The paper introduces TreeSwirl, a method to infer locus-specific mixture proportions from genome-wide allele frequencies, outperforming existing methods in accuracy and sensitivity.

This paper conducts a genome-wide association study (GWAS) of epiretinal membrane (ERM) in three American populations, identifying significant risk loci and genetic correlations with other traits.

This paper identifies genetic loci associated with short and long sleep duration through a cross-population meta-analysis and explores their genetic correlations and causal relationships with depression.

This paper identifies 15 genome-wide significant loci for maximum habitual alcohol intake (MaxAlc) in 247,755 U.S. Veterans and shows strong genetic correlations with alcohol use disorder and psychiatric traits.

The paper extends the F-model to linked loci using a hidden Markov model to detect selection, showing increased statistical power and identifying selection in the human genome.