Expressive

rs1229758 - FOXP2

Magnitude 2.0 · 2 studies on file

Reported associations

  • Differences in the genetic architecture of common and rare variants in childhood, persistent and late-diagnosed attention deficit hyperactivity disorder - Unknown journal (n.d.) · Unknown authors · PubMed 35927488

    ABSTRACT: Attention deficit hyperactivity disorder (ADHD) is a neurodevelopmental disorder, with onset in childhood ('childhood ADHD'), two thirds continue to have ADHD in adulthood ('persistent ADHD'), and sometimes ADHD is diagnosed in adulthood ('late-diagnosed ADHD'). We evaluated genetic differences between childhood (N=14,878), persistent (N=1,473) and late-diagnosed ADHD (N=6,961), alongside 38,303 controls and rare variant differences in 7,650 ADHD cases and 8,649 controls. We identified four genome-wide significant loci for childhood ADHD and one for late-diagnosed ADHD. We show an increased polygenic score (PGS) for ADHD in persistent ADHD compared to the other two groups. Childhood ADHD had higher genetic overlap with hyperactivity and autism compared to late-diagnos

  • Role of the Gut-Brain Axis in the Shared Genetic Etiology Between Gastrointestinal Tract Diseases and Psychiatric Disorders - Unknown journal (n.d.) · Unknown authors · PubMed 36753304

    ABSTRACT: Key Points Question To what extent are shared genetic determinants in the comorbidities and associations between gastrointestinal tract diseases and psychiatry disorders involved in the gut-brain axis? Findings In this genome-wide pleiotropic association study using genome-wide association summary statistics from publicly available data sources, pervasive genetic correlations and genetic overlaps between gastrointestinal tract diseases and psychiatric disorders were found. The pleiotropic genetic determinants between them were extensively distributed across the genome. Meaning These findings not only support the shared genetic basis underlying the gut-brain axis but also have important implications for intervention and treatment targets of these 2 types of diseases simultaneously

Auto-generated from study metadata. AI-synthesised commentary is added when this entry is regenerated through content-service's LLM mode.