Potential bias in meta-analyses of effect sizes in imaging genetics

Frieder M Paulus; Sören Krach; Anne-Grit Albrecht; Andreas Jansen

doi:10.1093/schbul/sbt035

Potential bias in meta-analyses of effect sizes in imaging genetics

Frieder M Paulus, Sören Krach, Anne-Grit Albrecht, Andreas Jansen

Department of Psychiatry, Psychosomatics and Psychotherapie

5 Citations (Scopus)

Abstract

The penetrance of genetic variation has been assumed to be higher at the level of neural phenotypes than at the level of behavioral phenotypes. One of the few attempts to validate this assumption is the study of Rose and Donohoe published in this issue. In this article, we will address 2 methodological issues we believe have to be considered for a better understanding of the present results. We briefly discuss potential solutions that might also help improve future meta-analyses of effect sizes in neuroimaging data.

Original language	English
Journal	Schizophrenia Bulletin
Volume	39
Issue number	3
Pages (from-to)	501-3
Number of pages	3
ISSN	0586-7614
DOIs	https://doi.org/10.1093/schbul/sbt035
Publication status	Published - 2013

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This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being
SDG 10 Reduced Inequalities

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10.1093/schbul/sbt035

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Potential bias in meta-analyses of effect sizes in imaging genetics

Abstract

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