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:10.3390/brainsci10100692

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 SilvaKalthoum Tizaoui, André Russowsky Brunoni, Andre F Carvalho, Sarah CARGNIN, SALVATORE TERRAZZINO, Andrew Stickley, Lee Smith, Trevor Thompson, Jae Il Shin, Paolo Fusar-Poli

Risultato della ricerca: Contributo su rivista › Articolo in rivista › peer review

Abstract

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.

Lingua originale	Inglese
pagine (da-a)	692
Rivista	Brain Sciences
Volume	10
Numero di pubblicazione	10
DOI	https://doi.org/10.3390/brainsci10100692
Stato di pubblicazione	Pubblicato - 2020

Keywords

Bayesian false-discovery probability (BFDP)
Genome-Wide Association Studies (GWAS)
autism spectrum disorder
false positive report probability (FPRP)
meta-analysis

Accesso al documento

10.3390/brainsci10100692

http://hdl.handle.net/11579/116715

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Lee, J., Son, M. J., Son, C. Y., Jeong, G. H., Lee, K. H., Lee, K. S., Ko, Y., Kim, J. Y., Lee, J. Y., Radua, J., Eisenhut, M., Gressier, F., Koyanagi, A., Stubbs, B., Solmi, M., Rais, T. B., Kronbichler, A., Dragioti, E., Vasconcelos, D. F. P., ... Fusar-Poli, P. (2020). Genetic Variation and Autism: A Field Synopsis and Systematic Meta-Analysis. Brain Sciences, 10(10), 692. https://doi.org/10.3390/brainsci10100692

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title = "Genetic Variation and Autism: A Field Synopsis and Systematic Meta-Analysis",

abstract = "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.",

keywords = "Bayesian false-discovery probability (BFDP), Genome-Wide Association Studies (GWAS), autism spectrum disorder, false positive report probability (FPRP), meta-analysis, Bayesian false-discovery probability (BFDP), Genome-Wide Association Studies (GWAS), autism spectrum disorder, false positive report probability (FPRP), meta-analysis",

author = "Jinhee Lee and Son, \{Min Ji\} and Son, \{Chei Yun\} and Jeong, \{Gwang Hun\} and Lee, \{Keum Hwa\} and Lee, \{Kwang Seob\} and Younhee Ko and Kim, \{Jong Yeob\} and Lee, \{Jun Young\} and Joaquim Radua and Michael Eisenhut and Florence Gressier and Ai Koyanagi and Brendon Stubbs and Marco Solmi and Rais, \{Theodor B\} and Andreas Kronbichler and Elena Dragioti and Vasconcelos, \{Daniel Fernando Pereira\} and Silva, \{Felipe Rodolfo Pereira da\} and Kalthoum Tizaoui and Brunoni, \{Andr{\'e} Russowsky\} and Carvalho, \{Andre F\} and Sarah CARGNIN and SALVATORE TERRAZZINO and Andrew Stickley and Lee Smith and Trevor Thompson and Shin, \{Jae Il\} and Paolo Fusar-Poli",

note = "Publisher Copyright: {\textcopyright} 2020 by the authors. Licensee MDPI, Basel, Switzerland.",

year = "2020",

doi = "10.3390/brainsci10100692",

language = "English",

volume = "10",

pages = "692",

journal = "Brain Sciences",

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Lee, J, Son, MJ, Son, CY, Jeong, GH, Lee, KH, Lee, KS, Ko, Y, Kim, JY, Lee, JY, Radua, J, Eisenhut, M, Gressier, F, Koyanagi, A, Stubbs, B, Solmi, M, Rais, TB, Kronbichler, A, Dragioti, E, Vasconcelos, DFP, Silva, FRPD, Tizaoui, K, Brunoni, AR, Carvalho, AF, CARGNIN, S , TERRAZZINO, SALVATORE, Stickley, A, Smith, L, Thompson, T, Shin, JI & Fusar-Poli, P 2020, 'Genetic Variation and Autism: A Field Synopsis and Systematic Meta-Analysis', Brain Sciences, vol. 10, n. 10, pagg. 692. https://doi.org/10.3390/brainsci10100692

TY - JOUR

T1 - Genetic Variation and Autism: A Field Synopsis and Systematic Meta-Analysis

AU - Lee, Jinhee

AU - Son, Min Ji

AU - Son, Chei Yun

AU - Jeong, Gwang Hun

AU - Lee, Keum Hwa

AU - Lee, Kwang Seob

AU - Ko, Younhee

AU - Kim, Jong Yeob

AU - Lee, Jun Young

AU - Radua, Joaquim

AU - Eisenhut, Michael

AU - Gressier, Florence

AU - Koyanagi, Ai

AU - Stubbs, Brendon

AU - Solmi, Marco

AU - Rais, Theodor B

AU - Kronbichler, Andreas

AU - Dragioti, Elena

AU - Vasconcelos, Daniel Fernando Pereira

AU - Silva, Felipe Rodolfo Pereira da

AU - Tizaoui, Kalthoum

AU - Brunoni, André Russowsky

AU - Carvalho, Andre F

AU - CARGNIN, Sarah

AU - TERRAZZINO, SALVATORE

AU - Stickley, Andrew

AU - Smith, Lee

AU - Thompson, Trevor

AU - Shin, Jae Il

AU - Fusar-Poli, Paolo

PY - 2020

Y1 - 2020

N2 - 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.

AB - 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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KW - Genome-Wide Association Studies (GWAS)

KW - autism spectrum disorder

KW - false positive report probability (FPRP)

KW - meta-analysis

KW - Bayesian false-discovery probability (BFDP)

KW - Genome-Wide Association Studies (GWAS)

KW - autism spectrum disorder

KW - false positive report probability (FPRP)

KW - meta-analysis

UR - https://iris.uniupo.it/handle/11579/116715

U2 - 10.3390/brainsci10100692

DO - 10.3390/brainsci10100692

M3 - Article

SN - 2076-3425

VL - 10

SP - 692

JO - Brain Sciences

JF - Brain Sciences

IS - 10

ER -

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

Abstract

Keywords

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