Brain Sciences (Sep 2020)

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

  • 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 Fernando Pereira Vasconcelos,
  • Felipe Rodolfo Pereira da Silva,
  • Kalthoum Tizaoui,
  • André Russowsky Brunoni,
  • Andre F. Carvalho,
  • Sarah Cargnin,
  • Salvatore Terrazzino,
  • Andrew Stickley,
  • Lee Smith,
  • Trevor Thompson,
  • Jae Il Shin,
  • Paolo Fusar-Poli

DOI
https://doi.org/10.3390/brainsci10100692
Journal volume & issue
Vol. 10, no. 10
p. 692

Abstract

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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.

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