Phenotypic and ancestry-related assortative mating in autism.


Journal

Molecular autism
ISSN: 2040-2392
Titre abrégé: Mol Autism
Pays: England
ID NLM: 101534222

Informations de publication

Date de publication:
14 Jun 2024
Historique:
received: 08 12 2023
accepted: 30 05 2024
medline: 15 6 2024
pubmed: 15 6 2024
entrez: 14 6 2024
Statut: epublish

Résumé

Positive assortative mating (AM) in several neuropsychiatric traits, including autism, has been noted. However, it is unknown whether the pattern of AM is different in phenotypically defined autism subgroups [e.g., autism with and without intellectually disability (ID)]. It is also unclear what proportion of the phenotypic AM can be explained by the genetic similarity between parents of children with an autism diagnosis, and the consequences of AM on the genetic structure of the population. To address these questions, we analyzed two family-based autism collections: the Simons Foundation Powering Autism Research for Knowledge (SPARK) (1575 families) and the Simons Simplex Collection (SSC) (2283 families). We found a similar degree of phenotypic and ancestry-related AM in parents of children with an autism diagnosis regardless of the presence of ID. We did not find evidence of AM for autism based on autism polygenic scores (PGS) (at a threshold of |r|> 0.1). The adjustment of ancestry-related AM or autism PGS accounted for only 0.3-4% of the fractional change in the estimate of the phenotypic AM. The ancestry-related AM introduced higher long-range linkage disequilibrium (LD) between single nucleotide polymorphisms (SNPs) on different chromosomes that are highly ancestry-informative compared to SNPs that are less ancestry-informative (D We only analyzed participants of European ancestry, limiting the generalizability of our results to individuals of non-European ancestry. SPARK and SSC were both multicenter studies. Therefore, there could be ancestry-related AM in SPARK and SSC due to geographic stratification. The study participants from each site were unknown, so we were unable to evaluate for geographic stratification. This study showed similar patterns of AM in autism with and without ID, and demonstrated that the common genetic influences of autism are likely relevant to both autism groups. The adjustment of ancestry-related AM and autism PGS accounted for < 5% of the fractional change in the estimate of the phenotypic AM. Future studies are needed to evaluate if the small increase of long-range LD induced by ancestry-related AM has impact on the downstream analysis.

Sections du résumé

BACKGROUND BACKGROUND
Positive assortative mating (AM) in several neuropsychiatric traits, including autism, has been noted. However, it is unknown whether the pattern of AM is different in phenotypically defined autism subgroups [e.g., autism with and without intellectually disability (ID)]. It is also unclear what proportion of the phenotypic AM can be explained by the genetic similarity between parents of children with an autism diagnosis, and the consequences of AM on the genetic structure of the population.
METHODS METHODS
To address these questions, we analyzed two family-based autism collections: the Simons Foundation Powering Autism Research for Knowledge (SPARK) (1575 families) and the Simons Simplex Collection (SSC) (2283 families).
RESULTS RESULTS
We found a similar degree of phenotypic and ancestry-related AM in parents of children with an autism diagnosis regardless of the presence of ID. We did not find evidence of AM for autism based on autism polygenic scores (PGS) (at a threshold of |r|> 0.1). The adjustment of ancestry-related AM or autism PGS accounted for only 0.3-4% of the fractional change in the estimate of the phenotypic AM. The ancestry-related AM introduced higher long-range linkage disequilibrium (LD) between single nucleotide polymorphisms (SNPs) on different chromosomes that are highly ancestry-informative compared to SNPs that are less ancestry-informative (D
LIMITATIONS CONCLUSIONS
We only analyzed participants of European ancestry, limiting the generalizability of our results to individuals of non-European ancestry. SPARK and SSC were both multicenter studies. Therefore, there could be ancestry-related AM in SPARK and SSC due to geographic stratification. The study participants from each site were unknown, so we were unable to evaluate for geographic stratification.
CONCLUSIONS CONCLUSIONS
This study showed similar patterns of AM in autism with and without ID, and demonstrated that the common genetic influences of autism are likely relevant to both autism groups. The adjustment of ancestry-related AM and autism PGS accounted for < 5% of the fractional change in the estimate of the phenotypic AM. Future studies are needed to evaluate if the small increase of long-range LD induced by ancestry-related AM has impact on the downstream analysis.

Identifiants

pubmed: 38877467
doi: 10.1186/s13229-024-00605-5
pii: 10.1186/s13229-024-00605-5
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

27

Investigateurs

David M Hougaard (DM)
Jonas Bybjerg-Grauholm (J)
Thomas Werge (T)
Thomas D Als (TD)
Anders Rosengren (A)

Informations de copyright

© 2024. The Author(s).

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Auteurs

Jing Zhang (J)

Department of Genetics, University of Pennsylvania, Philadelphia, PA, USA.
Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA, USA.
Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA.

J Dylan Weissenkampen (JD)

Department of Genetics, University of Pennsylvania, Philadelphia, PA, USA.

Rachel L Kember (RL)

Department of Psychiatry, University of Pennsylvania, Philadelphia, PA, USA.

Jakob Grove (J)

Center for Genomics and Personalized Medicine, Aarhus University, Aarhus, Denmark.
Department of Biomedicine (Human Genetics) and iSEQ Center, Aarhus University, Aarhus, Denmark.
Bioinformatics Research Centre, Aarhus University, Aarhus, Denmark.
The Lundbeck Foundation Initiative for Integrative Psychiatric Research, iPSYCH, Aarhus, Denmark.

Anders D Børglum (AD)

Center for Genomics and Personalized Medicine, Aarhus University, Aarhus, Denmark.
Department of Biomedicine (Human Genetics) and iSEQ Center, Aarhus University, Aarhus, Denmark.
The Lundbeck Foundation Initiative for Integrative Psychiatric Research, iPSYCH, Aarhus, Denmark.

Elise B Robinson (EB)

Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA, USA.
Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA.
Department of Psychiatry, Massachusetts General Hospital, Boston, MA, USA.

Edward S Brodkin (ES)

Department of Psychiatry, University of Pennsylvania, Philadelphia, PA, USA.

Laura Almasy (L)

Department of Genetics, University of Pennsylvania, Philadelphia, PA, USA.
Department of Biomedical and Health Informatics, Children's Hospital of Philadelphia, Philadelphia, PA, USA.

Maja Bucan (M)

Department of Genetics, University of Pennsylvania, Philadelphia, PA, USA.
Department of Psychiatry, University of Pennsylvania, Philadelphia, PA, USA.

Ronnie Sebro (R)

Department of Radiology, Mayo Clinic, Jacksonville, FL, USA. rsebro@gmail.com.

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