Francesco Bettella

The paper introduces AI-MiXeR, a method to estimate variant counts and effect sizes across functional annotations using GWAS summary statistics, revealing phenotype-specific polygenicity and effect size differences.

The paper identifies genetic loci associated with variability in brain volumes and thickness, showing they are distinct from loci affecting mean volumes.

This study finds a genetic link between schizophrenia polygenic risk and psychotic symptoms, particularly delusions, in Alzheimer's disease through a meta-analysis of 11 cohort studies.

The paper estimates brain age gaps using MRI and machine learning in individuals with and without brain disorders, finding heritability and genetic overlap with common disorders.

This study identifies five genome-wide significant loci and seven shared with other traits in a large ASD GWAS, highlighting polygenic heterogeneity and the value of large-scale GWAS in ASD.

The paper analyzes differentially methylated regions in primates and non-primates to test the evolutionary hypothesis of schizophrenia, finding limited enrichment of schizophrenia associations in primate DMRs.

This study identifies 15 genome-wide significant loci associated with hippocampal subfield volumes in 21,297 individuals, revealing distinct genetic determinants for different subfields.

This paper investigates brain structural heterogeneity in schizophrenia and finds that polygenic risk is associated with thinner fronto-temporal cortices and smaller hippocampal subfields, but not with increased variability.

The paper identifies human-specific methylated regions enriched in schizophrenia GWAS signals and shows their enrichment surpasses other evolutionary markers.

The paper examines how autozygosity and schizophrenia polygenic risk scores relate to cognitive and brain development in a population cohort.

This study identifies 9 novel genetic loci and 215 potential causative genes associated with Alzheimer's disease risk through a large genome-wide association analysis.

The paper identifies a brain white matter pattern linked to heritable cognitive and psychopathology factors in youth using data from the PNC sample.