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Estimating the Prevalence and Genetic Risk Mechanisms of ARFID in a Large Autism Cohort
This study is the first genetically-informed investigation of avoidant/restrictive food intake disorder (ARFID), an eating disorder that profoundly impacts quality of life for those affected. ARFID is highly comorbid with autism, and we provide the first estimate of its prevalence in a large and phe...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Frontiers Media S.A.
2021
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8221394/ https://www.ncbi.nlm.nih.gov/pubmed/34177659 http://dx.doi.org/10.3389/fpsyt.2021.668297 |
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author | Koomar, Tanner Thomas, Taylor R. Pottschmidt, Natalie R. Lutter, Michael Michaelson, Jacob J. |
author_facet | Koomar, Tanner Thomas, Taylor R. Pottschmidt, Natalie R. Lutter, Michael Michaelson, Jacob J. |
author_sort | Koomar, Tanner |
collection | PubMed |
description | This study is the first genetically-informed investigation of avoidant/restrictive food intake disorder (ARFID), an eating disorder that profoundly impacts quality of life for those affected. ARFID is highly comorbid with autism, and we provide the first estimate of its prevalence in a large and phenotypically diverse autism cohort (a subsample of the SPARK study, N = 5,157 probands). This estimate, 21% (at a balanced accuracy 80%), is at the upper end of previous estimates from studies based on clinical samples, suggesting under-diagnosis and potentially lack of awareness among caretakers and clinicians. Although some studies suggest a decrease of disordered eating symptoms by age 6, our estimates indicate that up to 17% (at a balanced accuracy 87%) of parents of autistic children are also at heightened risk for ARFID, suggesting a lifelong risk for disordered eating. We were also able to provide the first estimates of narrow-sense heritability (h(2)) for ARFID risk, at 0.45. Genome-wide association revealed a single hit near ZSWIM6, a gene previously implicated in neurodevelopmental conditions. While, the current sample was not well-powered for GWAS, effect size and heritability estimates allowed us to project the sample sizes necessary to more robustly discover ARFID-linked loci via common variants. Further genetic analysis using polygenic risk scores (PRS) affirmed genetic links to autism as well as neuroticism and metabolic syndrome. |
format | Online Article Text |
id | pubmed-8221394 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-82213942021-06-24 Estimating the Prevalence and Genetic Risk Mechanisms of ARFID in a Large Autism Cohort Koomar, Tanner Thomas, Taylor R. Pottschmidt, Natalie R. Lutter, Michael Michaelson, Jacob J. Front Psychiatry Psychiatry This study is the first genetically-informed investigation of avoidant/restrictive food intake disorder (ARFID), an eating disorder that profoundly impacts quality of life for those affected. ARFID is highly comorbid with autism, and we provide the first estimate of its prevalence in a large and phenotypically diverse autism cohort (a subsample of the SPARK study, N = 5,157 probands). This estimate, 21% (at a balanced accuracy 80%), is at the upper end of previous estimates from studies based on clinical samples, suggesting under-diagnosis and potentially lack of awareness among caretakers and clinicians. Although some studies suggest a decrease of disordered eating symptoms by age 6, our estimates indicate that up to 17% (at a balanced accuracy 87%) of parents of autistic children are also at heightened risk for ARFID, suggesting a lifelong risk for disordered eating. We were also able to provide the first estimates of narrow-sense heritability (h(2)) for ARFID risk, at 0.45. Genome-wide association revealed a single hit near ZSWIM6, a gene previously implicated in neurodevelopmental conditions. While, the current sample was not well-powered for GWAS, effect size and heritability estimates allowed us to project the sample sizes necessary to more robustly discover ARFID-linked loci via common variants. Further genetic analysis using polygenic risk scores (PRS) affirmed genetic links to autism as well as neuroticism and metabolic syndrome. Frontiers Media S.A. 2021-06-09 /pmc/articles/PMC8221394/ /pubmed/34177659 http://dx.doi.org/10.3389/fpsyt.2021.668297 Text en Copyright © 2021 Koomar, Thomas, Pottschmidt, Lutter and Michaelson. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Psychiatry Koomar, Tanner Thomas, Taylor R. Pottschmidt, Natalie R. Lutter, Michael Michaelson, Jacob J. Estimating the Prevalence and Genetic Risk Mechanisms of ARFID in a Large Autism Cohort |
title | Estimating the Prevalence and Genetic Risk Mechanisms of ARFID in a Large Autism Cohort |
title_full | Estimating the Prevalence and Genetic Risk Mechanisms of ARFID in a Large Autism Cohort |
title_fullStr | Estimating the Prevalence and Genetic Risk Mechanisms of ARFID in a Large Autism Cohort |
title_full_unstemmed | Estimating the Prevalence and Genetic Risk Mechanisms of ARFID in a Large Autism Cohort |
title_short | Estimating the Prevalence and Genetic Risk Mechanisms of ARFID in a Large Autism Cohort |
title_sort | estimating the prevalence and genetic risk mechanisms of arfid in a large autism cohort |
topic | Psychiatry |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8221394/ https://www.ncbi.nlm.nih.gov/pubmed/34177659 http://dx.doi.org/10.3389/fpsyt.2021.668297 |
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