Varun Warrier

The paper compares three plasma proteomic metrics across organ systems to assess their associations with brain structure and neurodegenerative disease, finding distinct relationships and modest predictive value.

The paper identifies a mid-gestational molecular mechanism linking cortical size and ADHD through genetic and single-cell RNA sequencing analyses.

The paper identifies polygenic hierarchies in macroscale brain structural organisation using genome-wide association studies of imaging-derived phenotypes.

This study examines the genetic contributions to emotional and behavioural symptoms in childhood and adolescence using common and rare variants from two large cohorts.

The paper investigates genetic effects on cortical similarity networks using MRI data and finds two genetically determined gradients linked to brain evolution and neuropsychiatric risks.

This study identifies genetic factors influencing dynamic brain states from fMRI data and links them to cellular processes and complex traits.

The paper introduces conditional-longitudinal models to analyze brain growth trajectories and finds associations between birth weight, psychopathology, and brain volume changes in adolescents.

The paper introduces a multiscale resource integrating genetics, brain imaging, and clinical data from autistic individuals and their relatives to explore genetic and neurobiological patterns in autism.

This study identifies cell-type-specific DNA methylation dynamics in the human cortex across development, highlighting prenatal periods as critical for epigenomic plasticity and linking changes to neurodevelopmental disorders.

This study uses genome-wide meta-regression to analyze social behavior across different contexts, ages, and reporters, identifying six genetic loci and showing modest heritability.

This study identifies shared genetic loci between psychiatric disorders and cortical brain structure using genome-wide association data from over 700,000 individuals.

This paper presents a normative framework for brain asymmetry across the lifespan using a large neuroimaging dataset, revealing distinct spatial patterns and providing tools for clinical and research applications.

ComBatLS improves multi-site image harmonization by preserving biological variance in features, outperforming existing methods in sex-imbalanced site scenarios and reducing sex biases.

This study performs a GWAS on functional brain network metrics and finds genetic overlap with brain structure and autism.

The paper develops predictive models for intellectual disability in autistic children by integrating genetic variants and developmental milestones, achieving an AUC ROC of 0.65 and identifying 10% of ID cases.

The paper examines sex differences in brain structure at birth in newborns, finding larger brain volumes in males and specific regional differences in gray and white matter volumes between sexes.

This study investigates the cerebellum's role in cognitive aging using large datasets, finding that cerebellar volume is associated with better cognitive outcomes and protection against decline.

The paper investigates how genetic and environmental risks for mental illness overlap in brain connectivity using data from the ABCD cohort.

This paper conducts a genome-wide association meta-analysis of age at onset of walking, identifying 11 loci and showing genetic correlations with ADHD, BMI, intelligence, and brain structure.

This study investigates how common genetic variants contribute to risk for rare neurodevelopmental conditions and examines indirect genetic effects through parental non-transmitted alleles.

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

The paper investigates the association between obesity and two brain systems using MRI data from UK Biobank participants, finding distinct structural and genetic relationships.

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

The paper maps the odds ratio for autism associated with rare LoF variants in autism-associated genes and shows sub-diagnostic effects in undiagnosed individuals.

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

This study identifies genetic correlates of phenotypic heterogeneity in autism by analyzing common and de novo variants across core features and co-occurring disabilities.

This study investigates whether social and non-social autism symptom domains are genetically distinct by analyzing genetic correlations between systemizing and autism traits.

The paper identifies shared epigenetic architecture between autism and autistic traits by analyzing DNA methylation and genetic data across multiple cohorts.

The paper identifies transcriptionally downregulated genes in autism associated with cortical thickness differences using MRI and gene expression data.

This study examines the genetic basis of theory of mind in adolescents, finding shared genetic factors between theory of mind and cognitive traits but no significant loci.