Morten Dybdahl Krebs

Age at Onset and Liability to Disorder: Estimating Covariances in Censored Populations

The paper estimates the covariance between liability to a disorder and age at onset in censored populations using a mixture distribution model applied to twin data.

LT-FGRS: a unifying R-package for the estimation of family-based genetic liabilities at population-scale

LT-FGRS estimates genetic liabilities from large-scale family data, unifying methods into an R package for efficient population-scale analysis.

The relationship between genotype- and phenotype-based estimates of genetic liability to psychiatric disorders, in practice and in theory.

The paper shows genotype- and phenotype-based genetic instruments explain largely independent components of liability to psychiatric disorders, supported by theoretical analysis and simulations.

As rates of ASD and ADHD rise, genetic contributions fall: Evidence for widening diagnostic criteria

This study shows that as ASD and ADHD diagnoses have increased, the genetic risk associated with these conditions has decreased over time.

Genetic risk effects on psychiatric disorders act in sets

This study identifies synergistic sets of genetic risk variants in psychiatric disorders, suggesting subtypes and reinterpreting shared genetic effects.

Evaluating the Joint Effects of Recurrent Copy Number Variants and Polygenic Scores on the Risk of Psychiatric Disorders in the iPSYCH2015 Case-Cohort Sample

This study examines how rare copy number variants and polygenic scores jointly affect psychiatric disorder risk in a large population sample, finding no significant interaction between the two factors.

Polygenic analyses show important differences between MDD symptoms collected using PHQ9 and CIDI-SF

The paper shows that PHQ9 and CIDI-SF MDD symptoms have low to moderate genetic correlations, with distinct associations to dysphoria and symptom heterogeneity.

ADuLT: An efficient and robust time-to-event GWAS

ADuLT is a time-to-event GWAS method that outperforms Cox regression in strongly ascertained studies, finding more genome-wide significant associations in psychiatric disorder analyses.

Population-based Risk of Psychiatric Disorders Associated with Recurrent CNVs

The paper estimates population-based risks of psychiatric disorders associated with 34 recurrent CNVs using a large case-cohort sample, finding moderate risks for ADHD, autism, and schizophrenia, but not depression.

PA-FGRS is a novel estimator of pedigree-based genetic liability that complements genotype-based inferences into the genetic architecture of major depressive disorder

The paper introduces PA-FGRS, a method to estimate genetic liability from family records, and shows it improves MDD classification and GWAS power when combined with genotypes.

Accuracy of haplotype estimation and whole genome imputation affects complex trait analyses in complex biobanks

The paper evaluates how haplotype estimation and whole genome imputation accuracy vary with data integration protocols and phasing methods in a large psychiatric biobank dataset.

Phenotype integration improves power and preserves specificity in biobank-based genetic studies of MDD

This paper improves genetic studies of MDD by integrating shallow and deep phenotypes, enhancing GWAS power and PRS accuracy while preserving specificity.