Andrew Joseph Schork

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.

This study evaluates polygenic risk scores (PRS) for colorectal cancer (CRC) screening, showing they stratify risk independently of ancestry and sex but offer limited additional predictive value when combined with FIT.

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

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

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

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

The paper evaluates the impact of non-random mating and environmental transmission on genetic methods and introduces a simulation tool to improve robustness.

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.

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

AutoComplete improves phenotype imputation in biobank data, enhancing GWAS power and genetic discovery.

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.

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.

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.

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.

This study identifies genetic overlaps between psychiatric disorders, language ability, and creativity through a GWAS of school grades.

This paper shows that cross-trait assortative mating explains genetic correlations between traits, suggesting many reported genetic similarities may be overestimated.

This paper introduces a framework to enhance polygenic prediction by combining multiple polygenic scores, showing significant accuracy improvements for psychiatric disorders and other traits.

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

This paper introduces LT-FH++, a method that improves GWAS power by incorporating age-of-onset and family history, showing increased significant associations in psychiatric disorders and mortality data.

This study examines how polygenic risk scores for cancer and longevity-associated variants relate to cancer risk and finds that longevity scores do not significantly improve cancer risk prediction beyond cancer-specific scores.

This study identifies a bidirectional association between autoimmune and mental disorders using Danish population data and finds HLA loci linked to autoimmune diseases but not mental disorders.

The paper identifies pQTLs for cardiovascular proteins and uses them to evaluate drug targets and suggest new candidates for precision medicine.

This study identifies four novel genetic loci associated with multiple psychiatric disorders, implicating fetal neurodevelopment as a key mediator of shared genetic risk.

The paper investigates factors contributing to variability in SNP-heritability and genetic correlation estimates between the iPSYCH case-cohort and external psychiatric disorder meta-studies.

This study identifies a fetal genome-wide association signal near pro-inflammatory cytokine genes on 2q13 linked to gestational duration and preterm/postterm birth.

This paper introduces a covariate-modulated local false discovery rate method for GWAS to improve power and pathway analysis for schizophrenia.

The paper introduces a consistent estimator for heritability in GWAS using summary statistics, accounting for linkage disequilibrium and enabling analytical precision.