Olav Bjerkehagen Smeland

The paper estimates polygenicity and discoverability of causal SNPs for human traits using a univariate Gaussian mixture model applied to GWAS summary statistics.

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

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.

MiXeR quantifies polygenic overlap between complex traits using GWAS summary statistics, revealing shared causal variants beyond genetic correlation.

The paper maps genetic architectures of cognitive traits and psychiatric disorders onto the brain and shows their association with normative brain maturity patterns in youths, while suggesting environmental factors may influence this relationship.

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 conducts a GWAS on suicide attempt across psychiatric disorders, identifying genetic loci and showing polygenic risk for major depression predicts suicide attempt in multiple disorders.

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.

This study identifies 206 new genomic loci and 1,041 genes associated with intelligence using a large GWAS meta-analysis of 279,930 individuals.

The paper estimates residual inflation in GWAS summary statistics caused by cryptic relatedness and shows correction reduces significant loci for height and schizophrenia.