Cardiff University | Prifysgol Caerdydd ORCA
Online Research @ Cardiff 
WelshClear Cookie - decide language by browser settings

Prevalence, characteristics, and genetic architecture of avoidant/restrictive food intake phenotypes

Bjørndal, Ludvig Daae, Corfield, Elizabeth C., Hannigan, Laurie J., Ayorech, Ziada, Bulik, Cynthia M., Watson, Hunna J., Dinkler, Lisa, Chawner, Samuel J. R. A., Johansson, Stefan, Andreassen, Ole A., Ask, Helga and Havdahl, Alexandra 2026. Prevalence, characteristics, and genetic architecture of avoidant/restrictive food intake phenotypes. JAMA Pediatrics 180 (1) , pp. 45-55. 10.1001/jamapediatrics.2025.4786

[thumbnail of jamapediatrics_bjrndal_2025_oi_250065_1763133553.8252.pdf] PDF - Published Version
Available under License Creative Commons Attribution.

Download (791kB)

Abstract

Importance A narrow range of food consumption and/or restricted eating is a core feature of avoidant/restrictive food intake (ARFI) disorder. However, there is limited knowledge of developmental characteristics of children with ARFI and its etiological influences, which constrains research, prevention, and intervention efforts. Objective To estimate the prevalence of ARFI phenotypes in a population-based sample, examine developmental characteristics across childhood, and investigate the genetic architecture of ARFI using genome-wide association analyses. Design, Setting, and Participants This preregistered study used data from children born from 1999 to 2009 in the population-based Norwegian Mother, Father, and Child Cohort Study (MoBa), with mother-reported data on ARFI symptoms at 3 and 8 years and linkage with diagnostic data from population health registries. Data were analyzed from March 2024 to May 2025. Exposures Multiple items were used to identify children with broad ARFI. These children were subclassified into 3 groups based on symptom persistence: ARFI–broad transient (only at age 3 years), emergent (only at age 8 years), and persistent (ages 3 and 8 years). Children in these groups with 1 or more indicators of clinical significance (eg, nutritional deficiency) were further classified into ARFI-clinical subgroups. Main Outcomes and Measures ARFI groups were compared across developmental characteristics from 6 months to 14 years. Genome-wide methods were used to examine single-nucleotide variant (SNV) heritability (SNV-h2), conduct genetic association analyses, and quantify genetic correlations with other phenotypes. Results Of 35 751 children with available ARFI assessments at 3 and 8 years (18 236 male [51%]), the prevalence of ARFI–broad persistent, transient, and emergent was 2129 (6.0%), 6338 (17.7%), and 3001 (8.4%), respectively. The prevalence of ARFI-clinical persistent, transient, and emergent was 624 (1.8%), 1157 (3.2%), and 484 (1.4%), respectively (2265 [6.3%] overall). Children with ARFI–broad persistent exhibited more developmental difficulties compared with children with no ARFI. SNV-h2 ranged from 8% to 16%. Two independent genome-wide significant loci were identified. For ARFI-clinical, a significant association was identified with ADCY3 (z = 5.42; P = 3.03 × 10−8). Small to moderate genetic correlations were observed for ARFI-broad, ARFI-clinical and mental health, cognitive/educational, anthropometric, food-associated, and gastrointestinal disorder phenotypes. Conclusions and Relevance This cohort study found that the prevalence of ARFI in the general pediatric population was substantial, and affected children had an associated elevated risk of developmental difficulties across multiple domains. Findings suggest a need for broad support interventions and advance understanding of the genetic underpinnings of ARFI.

Item Type: Article
Date Type: Publication
Status: Published
Schools: Schools > Medicine
Publisher: American Medical Association
ISSN: 2168-6203
Date of First Compliant Deposit: 1 December 2025
Date of Acceptance: 1 October 2025
Last Modified: 14 Jan 2026 15:07
URI: https://orca.cardiff.ac.uk/id/eprint/182768

Actions (repository staff only)

Edit Item Edit Item

Downloads

Downloads per month over past year

View more statistics