Travis T. Mallard

The paper models the genetic architecture of cortical expansion using GWAS data and links it to neuropsychiatric disorders.

This paper conducts a multi-ancestry GWAS of stimulant use disorder, identifies 19 genome-wide significant loci, and finds genetic correlations with other psychiatric and substance use disorders.

The paper introduces an ultra-fast analytic solution for multivariate GWAS in Genomic SEM, reducing computation time by over 800 times and enabling efficient analysis on standard hardware.

The paper identifies shared genetic loci between cortical morphology and psychiatric disorders, finding regional and global effects with directional heterogeneity.

This study identifies sex-specific genetic loci and correlations for alcohol use behaviors and their comorbidities using genome-wide association studies.

This study uses genomic structural equation modeling to identify genetic overlaps between psychiatric and physical illnesses, finding shared risk factors across multiple domains.

This study identifies 1,294 genomic regions and 961 effector genes associated with externalizing disorders, revealing neural mechanisms and polygenic predictors of variance in these conditions.

This study identifies a genetic link between externalizing traits and suicide risk using genomic data and electronic health records from over 500,000 veterans.

The paper compares the multivariate genetic architecture of eight psychiatric disorders between males and females using Genomic Structural Invariance, finding similarities and sex-specific differences in genetic factor loadings.

This study identifies two distinct genetic factors influencing executive function and attentional control, showing unique links to psychiatric disorders and cognitive phenotypes.

The paper introduces GTACCC to assess genetic continuity and differentiation of negative emotionality and MDD across severity, finding increasing genetic sharing with severity.

The paper identifies five genomic factors explaining most genetic variance across 14 psychiatric disorders and finds shared and disorder-specific genetic signals with distinct biological functions.

This study identifies 14 genome-wide significant loci for delay discounting in 134,935 individuals and shows genetic associations with 212 medical conditions.

This study identifies correlates of risk for disinhibited behaviors in veterans using polygenic scores and electronic health records, finding strong associations with substance use disorders and related health outcomes.

This study identifies 928 genes associated with brain weight variation across three datasets and links them to neurodevelopmental processes and brain function.

This paper evaluates how down-sampling affects GWAS summary statistics and recommends reporting specific analyses to support their use.

This study uses Genomic Structural Equation Modeling to identify a common genetic factor underlying externalizing phenotypes and substance use disorders, finding that a single dimension of genetic risk best explains their relationships.

This paper integrates multiscale cortical biology by generating spatially dense gene expression maps from postmortem data, revealing transcriptional zones linked to microstructure and neuroimaging features.

This study performs a multi-ancestry meta-analysis of tobacco use disorder using electronic health records, identifying 88 risk loci and 461 potential risk genes, and linking TUD to various health outcomes.

The paper models genetic relationships between cortical thickness and surface area using Genomic SEM, identifies gene categories associated with pleiotropy, and links these traits to psychiatric and cognitive outcomes.

This study shows that epigenetic-BMI measured from children's saliva is a valid biomarker of BMI and reflects social inequalities in childhood and adolescence.

The paper examines DNA-methylation profiles in children and adolescents, finding associations between social inequality and epigenetic markers of inflammation, cognitive functioning, and biological aging.

This study uses T-SEM to identify gene expression patterns linked to genetic overlap and disorder-specific risk in psychiatric disorders, finding potential drug repurposing targets.

The paper introduces MIND, a method to estimate structural similarity networks from brain MRI, showing improved consistency with known biology and genetic heritability.

GWAS of 2,347 neuroimaging phenotypes identifies genetic loci and structures related to cortical development, cellular processes, and neurodevelopmental disorders.

This study performs a multivariate GWAS on psychiatric disorders and symptoms to identify two genetic liabilities distinguishing common mood disturbances from serious mental illnesses.

This study identifies four genetic factors underlying 11 psychiatric disorders and finds limited evidence for a single dimension of genetic risk across them.

This study identifies genetic variants associated with antisocial behavior through a genome-wide association meta-analysis, finding significant links to FOXP2 and correlations with multiple health and behavioral traits.

The paper constructs polygenic indexes for 47 phenotypes across 11 datasets and provides a tool to correct errors-in-variables bias when using PGIs as proxies for the additive SNP factor.

This paper conducts a multivariate GWAS of AUDIT items to correct biases and identify novel genetic associations between alcohol consumption, misuse, and health outcomes.