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Genetic Variation and Autism: A Field Synopsis and Systematic Meta-Analysis

journal contribution
posted on 2023-08-30, 17:39 authored by Jinhee Lee, Min Ji Son, Chei Yun Son, Gwang Hun Jeong, Keum Hwa Lee, Kwang Seob Lee, Younhee Ko, Jong Yeob Kim, Jun Young Lee, Joaquim Radua, Michael Eisenhut, Florence Gressier, Ai Koyanagi, Brendon Stubbs, Marco Solmi, Theodor B. Rais, Andreas Kronbichler, Elena Dragioti, Daniel F. P. Vasconcelos, Felipe R. P. da Silva, Kalthoum Tizaoui, Andre R. Brunoni, Andre F. Carvalho, Sarah Cargnin, Salvatore Terrazzino, Andrew Stickley, Lee Smith, Trevor Thompson, Jae Il Shin, Paolo Fusar-Poli
This study aimed to verify noteworthy findings between genetic risk factors and autism spectrum disorder (ASD) by employing the false positive report probability (FPRP) and the Bayesian false-discovery probability (BFDP). PubMed and the Genome-Wide Association Studies (GWAS) catalog were searched from inception to 1 August, 2019. We included meta-analyses on genetic factors of ASD of any study design. Overall, twenty-seven meta-analyses articles from literature searches, and four manually added articles from the GWAS catalog were re-analyzed. This showed that five of 31 comparisons for meta-analyses of observational studies, 40 out of 203 comparisons for the GWAS meta-analyses, and 18 out of 20 comparisons for the GWAS catalog, respectively, had noteworthy estimations under both Bayesian approaches. In this study, we found noteworthy genetic comparisons highly related to an increased risk of ASD. Multiple genetic comparisons were shown to be associated with ASD risk; however, genuine associations should be carefully verified and understood.

History

Refereed

  • Yes

Volume

10

Issue number

10

Page range

692

Publication title

Brain Sciences

ISSN

2076-3425

Publisher

MDPI

File version

  • Accepted version

Language

  • eng

Legacy posted date

2020-09-14

Legacy creation date

2020-09-14

Legacy Faculty/School/Department

Faculty of Science & Engineering

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