3-generation family medical histories of mental, neurologic, cardiometabolic, birth defect, asthma, allergy, and autoimmune conditions associated with autism.


Journal

medRxiv : the preprint server for health sciences
Titre abrégé: medRxiv
Pays: United States
ID NLM: 101767986

Informations de publication

Date de publication:
04 Nov 2023
Historique:
pubmed: 14 11 2023
medline: 14 11 2023
entrez: 14 11 2023
Statut: epublish

Résumé

Family histories of different mental and non-mental conditions have often been associated with autism spectrum disorder (ASD) but the restricted scope of conditions and family members that have been investigated limits etiologic understanding. We aimed to perform a comprehensive assessment of ASD associations with 3-generation family histories of 90 mental, neurologic, cardiometabolic, birth defect, asthma, allergy, and autoimmune conditions. The assessment comprised separate estimates of association with ASD overall; separate estimates by sex and intellectual disability (ID) status; as well as separate estimates of the co-occurrence of each of the 90 disorders in autistic persons. Additionally, we aimed to provide interactive catalogues of results to facilitate results visualization and further hypothesis-generation. We conducted a population-based, registry cohort study comprised of all live births in Denmark, 1980-2012, of Denmark-born parents, and with birth registry information (1,697,231 births), and their 3-generation family member types (20 types). All cohort members were followed from birth through April 10, 2017 for an ASD diagnosis. All participants (cohort members and each family member) were followed from birth through April 10, 2017 for each of 90 diagnoses, emigration or death. Adjusted hazard ratios (aHR) were estimated for ASD overall; by sex; or accounting for ID via separate Cox regression models for each diagnosis-family member type combination, adjusting for birth year, sex, birth weight, gestational age, parental ages at birth, and number of family member types of index person. aHRs were also calculated for sex-specific co-occurrence of each disorder, for ASD overall and considering ID. A catalogue of all results is displayed via interactive heat maps here: https://ncrr-au.shinyapps.io/asd-riskatlas/ and interactive graphic summaries of results are here: https://public.tableau.com/views/ASDPlots_16918786403110/e-Figure5. Increased aHRs for ASD (26,840 cases; 1.6% of births) were observed for almost all individual mental disorder-family member type combinations yet for fewer non-mental disorder-family member type combinations. aHRs declined with diminishing degree of relatedness between the index person and family member for some disorders, especially mental disorders. Variation in aHR magnitude by family member sex (e.g., higher maternal than paternal aHRs) or side of the family (e.g., higher maternal versus paternal half sibling aHRs) was more evident among non-mental than mental disorders. Co-occurring ID in the family member or the index person impacted aHR variation. Our approach revealed considerable breadth and variation in magnitude of familial health history associations with ASD by type of condition, sex of the affected family member, side of the family, sex of the index person, and ID status which is indicative of diverse genetic, familial, and non-genetic ASD etiologic pathways. More careful attention to identifying sources of autism likelihood encompassed in family medical history, in addition to genetics, may accelerate understanding of factors underlying neurodiversity.

Sections du résumé

Background UNASSIGNED
Family histories of different mental and non-mental conditions have often been associated with autism spectrum disorder (ASD) but the restricted scope of conditions and family members that have been investigated limits etiologic understanding. We aimed to perform a comprehensive assessment of ASD associations with 3-generation family histories of 90 mental, neurologic, cardiometabolic, birth defect, asthma, allergy, and autoimmune conditions. The assessment comprised separate estimates of association with ASD overall; separate estimates by sex and intellectual disability (ID) status; as well as separate estimates of the co-occurrence of each of the 90 disorders in autistic persons. Additionally, we aimed to provide interactive catalogues of results to facilitate results visualization and further hypothesis-generation.
Methods UNASSIGNED
We conducted a population-based, registry cohort study comprised of all live births in Denmark, 1980-2012, of Denmark-born parents, and with birth registry information (1,697,231 births), and their 3-generation family member types (20 types). All cohort members were followed from birth through April 10, 2017 for an ASD diagnosis. All participants (cohort members and each family member) were followed from birth through April 10, 2017 for each of 90 diagnoses, emigration or death. Adjusted hazard ratios (aHR) were estimated for ASD overall; by sex; or accounting for ID via separate Cox regression models for each diagnosis-family member type combination, adjusting for birth year, sex, birth weight, gestational age, parental ages at birth, and number of family member types of index person. aHRs were also calculated for sex-specific co-occurrence of each disorder, for ASD overall and considering ID. A catalogue of all results is displayed via interactive heat maps here: https://ncrr-au.shinyapps.io/asd-riskatlas/ and interactive graphic summaries of results are here: https://public.tableau.com/views/ASDPlots_16918786403110/e-Figure5.
Results UNASSIGNED
Increased aHRs for ASD (26,840 cases; 1.6% of births) were observed for almost all individual mental disorder-family member type combinations yet for fewer non-mental disorder-family member type combinations. aHRs declined with diminishing degree of relatedness between the index person and family member for some disorders, especially mental disorders. Variation in aHR magnitude by family member sex (e.g., higher maternal than paternal aHRs) or side of the family (e.g., higher maternal versus paternal half sibling aHRs) was more evident among non-mental than mental disorders. Co-occurring ID in the family member or the index person impacted aHR variation.
Conclusion UNASSIGNED
Our approach revealed considerable breadth and variation in magnitude of familial health history associations with ASD by type of condition, sex of the affected family member, side of the family, sex of the index person, and ID status which is indicative of diverse genetic, familial, and non-genetic ASD etiologic pathways. More careful attention to identifying sources of autism likelihood encompassed in family medical history, in addition to genetics, may accelerate understanding of factors underlying neurodiversity.

Identifiants

pubmed: 37961212
doi: 10.1101/2023.11.03.23298042
pmc: PMC10635276
pii:
doi:

Types de publication

Preprint

Langues

eng

Subventions

Organisme : NIEHS NIH HHS
ID : R01 ES026993
Pays : United States

Déclaration de conflit d'intérêts

Competing Interest Statement The authors have no competing interests to declare.

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Auteurs

Diana Schendel (D)

A.J. Drexel Autism Institute, Drexel University, Philadelphia, PA, USA.
The Lundbeck Foundation Initiative for Integrative Psychiatric Research, iPSYCH, Aarhus, Denmark.
National Centre for Register-Based Research, Aarhus BSS, Aarhus University, Aarhus, Denmark.

Linda Ejlskov (L)

The Lundbeck Foundation Initiative for Integrative Psychiatric Research, iPSYCH, Aarhus, Denmark.
National Centre for Register-Based Research, Aarhus BSS, Aarhus University, Aarhus, Denmark.

Morten Overgaard (M)

Department of Public Health, Aarhus University, Aarhus, Denmark.

Zeal Jinwala (Z)

A.J. Drexel Autism Institute, Drexel University, Philadelphia, PA, USA.
School of Biomedical Engineering, Science and Health Systems, Drexel University, Philadelphia, PA, USA.

Viktor Kim (V)

A.J. Drexel Autism Institute, Drexel University, Philadelphia, PA, USA.

Erik Parner (E)

Department of Public Health, Aarhus University, Aarhus, Denmark.

Amy E Kalkbrenner (AE)

University of Wisconsin Milwaukee, Joseph J Zilber College of Public Health, Milwaukee, WI, USA.

Christine Ladd Acosta (CL)

Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.

M Danielle Fallin (MD)

Wendy Klag Center for Autism and Developmental Disabilities, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.
Department of Mental Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.
Current affiliation: Department of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, GA USA.

Sherlly Xie (S)

Dornsife School of Public Health, Drexel University, Philadelphia, PA, USA.
Medtronic, Mounds View, Minnesota, USA.

Preben Bo Mortensen (PB)

The Lundbeck Foundation Initiative for Integrative Psychiatric Research, iPSYCH, Aarhus, Denmark.
National Centre for Register-Based Research, Aarhus BSS, Aarhus University, Aarhus, Denmark.
Centre for Integrated Register-based Research, Aarhus University, Aarhus, Denmark.

Brian Lee (B)

Dornsife School of Public Health, Drexel University, Philadelphia, PA, USA.
Department of Public Health Sciences, Karolinska Institutet, Stockholm, Sweden.

Classifications MeSH