Genetic Variation and Autism: A Field Synopsis and Systematic Meta-Analysis
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Citações na Scopus
7
Tipo de produção
article
Data de publicação
2020
Título da Revista
ISSN da Revista
Título do Volume
Editora
MDPI
Autores
LEE, Jinhee
SON, Min Ji
SON, Chei Yun
JEONG, Gwang Hun
LEE, Keum Hwa
LEE, Kwang Seob
KO, Younhee
KIM, Jong Yeob
LEE, Jun Young
RADUA, Joaquim
Citação
BRAIN SCIENCES, v.10, n.10, article ID 692, 25p, 2020
Resumo
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.
Palavras-chave
autism spectrum disorder, false positive report probability (FPRP), Bayesian false-discovery probability (BFDP), meta-analysis, Genome-Wide Association Studies (GWAS)
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