Todd Lencz

This paper decomposes the genetic architecture of schizophrenia and bipolar disorder into shared and disorder-specific components, revealing distinct biological pathways and associations with intermediate traits.

This study identifies plasma proteins linked to brain structure and neurological disorders using multi-omics integration and Mendelian randomization.

This paper identifies genetic loci associated with schizophrenia and bipolar disorder using cognitive pleiotropy, revealing shared and disorder-specific biological mechanisms.

PEStimate predicts offspring disease risk after polygenic embryo screening by modeling risk reduction and accounting for embryo implantation failure.

The paper introduces DIMPLE-GWAS, a dimensionality reduction framework for GWAS of brain scans, identifying 25 latent phenotypes with higher heritability and discovering 104 new significant loci.

This paper models polygenic embryo screening (PES) in IVF patients and finds it leads to small relative risk reductions in most cases due to low live birth rates and limited embryo availability.

The paper introduces co-expression-based models to improve eQTL predictions and identifies novel schizophrenia-associated genes using brain RNA-seq data.

The paper evaluates how using polygenic risk scores (PRS) or monogenic testing (PGT-M) for breast cancer risk can lead to errors in embryo selection due to interactions between genetic variants.

The paper uses pleiotropy between schizophrenia and cognitive traits to identify genetic loci and their biological pathways, finding distinct associations with neurodevelopmental and synaptic functions.

This study links genetic risk for schizophrenia with retinal thinning using UK Biobank data, highlighting neuroinflammatory pathways as a potential mechanism.

This study compares clinician and patient perspectives on polygenic embryo screening, finding divergent views on its use and ethical implications.

The paper surveys U.S. public attitudes toward polygenic embryo screening, finding high approval and interest despite concerns about eugenics and false expectations.

This study examines how phase encoding direction affects test-retest reliability of the human functional connectome using fMRI data from two scanning sessions.

This study identifies eight genes associated with adult cognitive function through rare coding variants and shows how KDM5B dosage affects cognitive traits in mice and humans.

The paper analyzes genome-wide data from medieval German Jews to show the Ashkenazi founder event occurred before the 14th century, with genetic heterogeneity not present in modern Ashkenazi Jews.

The paper investigates the conservation of rare schizophrenia risk variants across diverse populations and finds consistent burden in constrained genes.

This paper predicts the utility of polygenic embryo screening for disease based on selection strategies and finds that selecting the lowest PRS embryo can significantly reduce disease risk.

This study performs the largest GWAS of tardive dyskinesia, identifies novel and suggestive loci, and explores polygenic risk and biological pathways.

This paper identifies potential nootropic drug targets by integrating large-scale cognitive GWAS and transcriptomic data to find credible druggable genes.

The paper analyzes whole exome sequencing data from the UK Biobank to identify rare coding variants associated with major depressive disorder and reveals genetic overlaps with other psychiatric disorders.

The paper identifies ultra-rare exonic variants in an Ashkenazi Jewish founder population, implicating cadherins in schizophrenia through recurrent mutations and altered purifying selection.

This study identifies 308 genetic loci associated with mood disorder and schizophrenia across East Asian and European populations, revealing shared and distinct genetic mechanisms.

This study shows that schizophrenia polygenic risk score predicts negative symptoms, cognition, and diagnostic shifts in psychotic disorders over 20 years.

This paper introduces CLiP, a method to detect heterogeneity in GWAS cohorts by analyzing correlations between polygenic risk score predictors, and applies it to schizophrenia data showing significant heterogeneity.

This paper evaluates the potential benefits of using polygenic scores to select embryos for traits like height and cognitive function, finding limited gains with current predictors.

The paper uses pleiotropic meta-analysis to identify genetic loci associated with cognition, education, and schizophrenia, revealing distinct biological mechanisms for concordant and discordant genetic correlations.

The paper examines how striatal volume and functional connectivity predict weight gain in early-phase psychosis patients undergoing antipsychotic treatment.

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 sequenced a population-specific reference panel at high depth to improve imputation accuracy and variant filtering in the Ashkenazi Jewish population.

The paper introduces SHARPEN, an elastic net method to detect shared polygenicity by selecting SNPs involved in overlapping genetic risk loci using GWAS summary data.