Genetic Variation and Autism: A Field Synopsis and Systematic Meta-Analysis.
Seongho MinMin Ji SonChei Yun SonGwang Hun JeongKeum Hwa LeeKwang Seob LeeYounhee KoJong Yeob KimJoon Young LeeJoaquim RaduàMichael EisenhutFlorence GressierAi KoyanagiBrendon StubbsMarco SolmiTheodor B RaisAndreas KronbichlerElena DragiotiDaniel Fernando Pereira VasconcelosFelipe Rodolfo Pereira da SilvaKalthoum TizaouiAndré Russowsky BrunoniAndre F CarvalhoSarah CargninSalvatore TerrazzinoAndrew StickleyLee SmithTrevor ThompsonYoun Ho ShinPaolo Fusar-PoliPublished in: Brain sciences (2020)
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.