Tanner Koomar

Polygenic score variants in HAQERs (Human Ancestor Quickly Evolved Regions, <0.1% of the genome) predict spoken language but not nonverbal IQ; language associations replicate in SPARK, ABCD and UK Biobank.

The paper identifies eight sleep archetypes in autism using a large cohort and finds genetic associations with educational attainment, BMI, and ADHD, while suggesting distinct genetic drivers from the general population.

The paper investigates the genetic liabilities of autism subscales, finding heritable, pleiotropic traits with sex-specific effects and stronger genetic signals in the RBS-R instrument.

VCFdbR converts large-scale VCF files into SQLite databases for efficient variant querying and filtering.

This paper introduces forecASD, a machine learning method that identifies potential autism risk genes using genome-scale data, showing improved prediction of gene-disrupting mutations and differential expression.