Exploring polygenic contributors to subgroups of comorbid conditions in autism spectrum disorder

Louis Klein; Shannon D'Urso; Valsamma Eapen; Liang-Dar Hwang; Ping-I Lin

doi:10.1038/s41598-022-07399-7

Exploring polygenic contributors to subgroups of comorbid conditions in autism spectrum disorder

Sci Rep. 2022 Mar 1;12(1):3416. doi: 10.1038/s41598-022-07399-7.

Authors

Louis Klein^#^{1

2}, Shannon D'Urso^#³, Valsamma Eapen^{1

2}, Liang-Dar Hwang³, Ping-I Lin^{4

5}

Affiliations

¹ School of Psychiatry, University of New South Wales, Sydney, NSW, Australia.
² Mental Health Research Unit, South Western Sydney Local Health District, Liverpool, Australia.
³ Institute for Molecular Bioscience, The University of Queensland, Brisbane, QLD, Australia.
⁴ School of Psychiatry, University of New South Wales, Sydney, NSW, Australia. daniel.lin@unsw.edu.au.
⁵ Mental Health Research Unit, South Western Sydney Local Health District, Liverpool, Australia. daniel.lin@unsw.edu.au.

^# Contributed equally.

Abstract

Individuals with autism spectrum disorder (ASD) have heterogeneous comorbid conditions. This study examined whether comorbid conditions in ASD are associated with polygenic risk scores (PRS) of ASD or PRS of comorbid conditions in non-ASD specific populations. Genome-wide single nucleotide polymorphism (SNP) data were obtained from 1386 patients with ASD from the Autism Genetic Resource Exchange (AGRE) study. After excluding individuals with missing clinical information concerning comorbid conditions, a total of 707 patients were included in the study. A total of 18 subgroups of comorbid conditions ('topics') were identified using a machine learning algorithm, topic modeling. PRS for ASD were computed using a genome-wide association meta-analysis of 18,381 cases and 27,969 controls. From these 18 topics, Topic 6 (over-represented by allergies) (p = 1.72 × 10^-3) and Topic 17 (over-represented by sensory processing issues such as low pain tolerance) (p = 0.037) were associated with PRS of ASD. The associations between these two topics and the multi-locus contributors to their corresponding comorbid conditions based on non-ASD specific populations were further explored. The results suggest that these two topics were not associated with the PRS of allergies and chronic pain disorder, respectively. Note that characteristics of the present AGRE sample and those samples used in the original GWAS for ASD, allergies, and chronic pain disorder, may differ due to significant clinical heterogeneity that exists in the ASD population. Additionally, the AGRE sample may be underpowered and therefore insensitive to weak PRS associations due to a relatively small sample size. Findings imply that susceptibility genes of ASD may contribute more to the occurrence of allergies and sensory processing issues in individuals with ASD, compared with the susceptibility genes for their corresponding phenotypes in non-ASD individuals. Since these comorbid conditions (i.e., allergies and pain sensory issues) may not be attributable to the corresponding comorbidity-specific biological factors in non-ASD individuals, clinical management for these comorbid conditions may still depend on treatments for core symptoms of ASD.

Publication types

Meta-Analysis

MeSH terms

Autism Spectrum Disorder* / epidemiology
Autism Spectrum Disorder* / genetics
Chronic Pain*
Genome-Wide Association Study / methods
Humans
Hypersensitivity*
Multifactorial Inheritance / genetics