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Polygenic Scores for ADHD: A Meta-Analysis

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Abstract

Attention-deficit/hyperactivity disorder (ADHD) is a highly heritable neurodevelopmental disorder that is known to have a polygenic (i.e., many genes of individually small effects) architecture. Polygenic scores (PGS), which characterize this polygenicity as a single score for a given individual, are considered the state-of-the-art in psychiatric genetics research. Despite the proliferation of ADHD studies adopting this approach and its clinical implications, remarkably little is known about the predictive utility of PGS in ADHD research to date, given that there have not yet been any systematic or meta-analytic reviews of this rapidly developing literature. We meta-analyzed 12 unique effect sizes from ADHD PGS studies, yielding an N = 40,088. These studies, which included a mixture of large population-based cohorts and case–control samples of predominantly European ancestry, yielded a pooled ADHD PGS effect size of rrandom = 0.201 (95% CI = [0.144, 0.288]) and an rfixed = 0.190 (95% CI = [0.180, 0.199]) in predicting ADHD. In other words, ADHD PGS reliably account for between 3.6% (in the fixed effects model) to 4.0% (in the random effects model) of the variance in broadly defined phenotypic ADHD. Findings provide important insights into the genetics of psychiatric outcomes and raise several key questions about the impact of PGS on psychiatric research moving forward. Our review concludes by providing recommendations for future research directions in the use of PGS, including new methods to account for comorbidities, integrating bioinformatics to elucidate biological pathways, and leveraging PGS to test mechanistic models of ADHD.

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Acknowledgements

The authors acknowledge contributions from Alexis Hosch and Hannah Glasrud, who provided valuable assistance during the initial phases of the study. J.J.L. was supported in part by a core grant to the Waisman Center from the Eunice Kennedy Shriver National Institute of Child Health and Human Development (U54 HD090256) and the Wisconsin Alumni Research Foundation. J.J.L. and Q.H. were also supported by the UW-Madison Center for Human Genomics and Precision Medicine.

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Correspondence to James J. Li.

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The authors have no relevant financial or non-financial interests to disclose.

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This is a meta-analytic review of existing literature. No human subjects were involved in this study. Per UW-Madison's Exempt Research Policy, no ethical approval was required.

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Li, J.J., He, Q. Polygenic Scores for ADHD: A Meta-Analysis. Res Child Adolesc Psychopathol 49, 297–310 (2021). https://doi.org/10.1007/s10802-021-00774-4

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  • DOI: https://doi.org/10.1007/s10802-021-00774-4

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