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The physical and psychiatric health conditions related to autism genetic scores, across genetic ancestries, sexes and age-groups in electronic health records
BACKGROUND: Although polygenic scores (PGS) for autism have been related to various psychiatric and medical conditions, most studies to date have been conducted in research ascertained populations. We aimed to identify the psychiatric and physical conditions associated with autism PGS in a health ca...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10273739/ https://www.ncbi.nlm.nih.gov/pubmed/37328826 http://dx.doi.org/10.1186/s11689-023-09485-x |
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author | Niarchou, Maria Miller-Fleming, Tyne Malow, Beth A. Davis, Lea K. |
author_facet | Niarchou, Maria Miller-Fleming, Tyne Malow, Beth A. Davis, Lea K. |
author_sort | Niarchou, Maria |
collection | PubMed |
description | BACKGROUND: Although polygenic scores (PGS) for autism have been related to various psychiatric and medical conditions, most studies to date have been conducted in research ascertained populations. We aimed to identify the psychiatric and physical conditions associated with autism PGS in a health care setting. METHODS: We computed PGS for 12,383 unrelated participants of African genetic ancestry (AF) and 65,363 unrelated participants of European genetic ancestry (EU) from Vanderbilt’s de-identified biobank. Next, we performed phenome wide association studies of the autism PGS within these two genetic ancestries. RESULTS: Seven associations surpassed the Bonferroni adjusted threshold for statistical significance (p = 0.05/1374 = 3.6 × 10(−5)) in the EU participants, including mood disorders (OR (95%CI) = 1.08(1.05 to 1.10), p = 1.0 × 10(−10)), autism (OR (95%CI) = 1.34(1.24 to 1.43), p = 1.2 × 10(–9)), and breast cancer (OR (95%CI) = 1.09(1.05 to 1.14), 2.6 × 10(−5)). There was no statistical evidence for PGS-phenotype associations in the AF participants. Conditioning on the diagnosis of autism or on median body mass index (BMI) did not impact the strength of the reported associations. Although we observed some sex differences in the pattern of associations, there was no significant interaction between sex and autism PGS. Finally, the associations between autism PGS and autism diagnosis were stronger in childhood and adolescence, while the associations with mood disorders and breast cancer were stronger in adulthood. DISCUSSION: Our findings indicate that autism PGS is not only related to autism diagnosis but may also be related to adult-onset conditions, including mood disorders and some cancers. CONCLUSIONS: Our study raises the hypothesis that genes associated with autism may also increase the risk for cancers later in life. Future studies are necessary to replicate and extend our findings. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s11689-023-09485-x. |
format | Online Article Text |
id | pubmed-10273739 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-102737392023-06-17 The physical and psychiatric health conditions related to autism genetic scores, across genetic ancestries, sexes and age-groups in electronic health records Niarchou, Maria Miller-Fleming, Tyne Malow, Beth A. Davis, Lea K. J Neurodev Disord Research BACKGROUND: Although polygenic scores (PGS) for autism have been related to various psychiatric and medical conditions, most studies to date have been conducted in research ascertained populations. We aimed to identify the psychiatric and physical conditions associated with autism PGS in a health care setting. METHODS: We computed PGS for 12,383 unrelated participants of African genetic ancestry (AF) and 65,363 unrelated participants of European genetic ancestry (EU) from Vanderbilt’s de-identified biobank. Next, we performed phenome wide association studies of the autism PGS within these two genetic ancestries. RESULTS: Seven associations surpassed the Bonferroni adjusted threshold for statistical significance (p = 0.05/1374 = 3.6 × 10(−5)) in the EU participants, including mood disorders (OR (95%CI) = 1.08(1.05 to 1.10), p = 1.0 × 10(−10)), autism (OR (95%CI) = 1.34(1.24 to 1.43), p = 1.2 × 10(–9)), and breast cancer (OR (95%CI) = 1.09(1.05 to 1.14), 2.6 × 10(−5)). There was no statistical evidence for PGS-phenotype associations in the AF participants. Conditioning on the diagnosis of autism or on median body mass index (BMI) did not impact the strength of the reported associations. Although we observed some sex differences in the pattern of associations, there was no significant interaction between sex and autism PGS. Finally, the associations between autism PGS and autism diagnosis were stronger in childhood and adolescence, while the associations with mood disorders and breast cancer were stronger in adulthood. DISCUSSION: Our findings indicate that autism PGS is not only related to autism diagnosis but may also be related to adult-onset conditions, including mood disorders and some cancers. CONCLUSIONS: Our study raises the hypothesis that genes associated with autism may also increase the risk for cancers later in life. Future studies are necessary to replicate and extend our findings. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s11689-023-09485-x. BioMed Central 2023-06-16 /pmc/articles/PMC10273739/ /pubmed/37328826 http://dx.doi.org/10.1186/s11689-023-09485-x Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Niarchou, Maria Miller-Fleming, Tyne Malow, Beth A. Davis, Lea K. The physical and psychiatric health conditions related to autism genetic scores, across genetic ancestries, sexes and age-groups in electronic health records |
title | The physical and psychiatric health conditions related to autism genetic scores, across genetic ancestries, sexes and age-groups in electronic health records |
title_full | The physical and psychiatric health conditions related to autism genetic scores, across genetic ancestries, sexes and age-groups in electronic health records |
title_fullStr | The physical and psychiatric health conditions related to autism genetic scores, across genetic ancestries, sexes and age-groups in electronic health records |
title_full_unstemmed | The physical and psychiatric health conditions related to autism genetic scores, across genetic ancestries, sexes and age-groups in electronic health records |
title_short | The physical and psychiatric health conditions related to autism genetic scores, across genetic ancestries, sexes and age-groups in electronic health records |
title_sort | physical and psychiatric health conditions related to autism genetic scores, across genetic ancestries, sexes and age-groups in electronic health records |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10273739/ https://www.ncbi.nlm.nih.gov/pubmed/37328826 http://dx.doi.org/10.1186/s11689-023-09485-x |
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