Polygenic Risk Score-Derived Subcortical Connectivity Mediates Attention-Deficit/Hyperactivity Disorder Diagnosis

Robert J M Hermosillo, Michael A Mooney, Eric Fezcko, Eric Earl, Mollie Marr, Darrick Sturgeon, Anders Perrone, Oscar Miranda Dominguez, Stephen V Faraone, Beth Wilmot, Joel T Nigg, Damien A Fair

Research output: Contribution to journalArticlepeer-review

17 Scopus citations


BACKGROUND: Attention-deficit/hyperactivity disorder (ADHD) has substantial heritability, and a recent large-scale investigation has identified common genome-wide significant loci associated with increased risk for ADHD. Along the same lines, many studies using noninvasive neuroimaging have identified differences in brain functional connectivity in children with ADHD. We attempted to bridge these studies to identify differences in functional connectivity associated with common genetic risk for ADHD using polygenic risk score (PRS).

METHODS: We computed ADHD PRSs for all participants in our sample (N = 315, children 7-13 years of age, 196 with ADHD and 119 unaffected comparison children) using ADHD data from the Psychiatric Genomics Consortium as a discovery set. Magnetic resonance imaging was used to evaluate resting-state functional connectivity of targeted subcortical structures.

RESULTS: The functional connectivity between 2 region pairs demonstrated a significant correlation to PRS: right caudate-parietal cortex and nucleus accumbens-occipital cortex. Connectivity between these areas, in addition to being correlated with PRS, was correlated with ADHD status. The connection between the caudate and the parietal region acted as a statistical suppressor, such that when it was included in a path model, the association between PRS and ADHD status was enhanced.

CONCLUSIONS: Our results suggest that functional connectivity to certain subcortical brain regions is directly altered by genetic variants, and certain cortico-subcortical connections may modulate ADHD-related genetic effects.

Original languageEnglish (US)
Pages (from-to)330-341
Number of pages12
JournalBiological Psychiatry: Cognitive Neuroscience and Neuroimaging
Issue number3
StatePublished - Mar 2020

Bibliographical note

Funding Information:
This work was supported by the National Institutes of Health National Institute of Mental Health (Grant Nos. R01-MH099064 and R37-MH-59105 [to JTN], Grant No. MH086654 [to JTN and DAF], Grant Nos. MH096773 , MH091238 , and MH115357 [to DAF]) and National Library of Medicine (Grant No. T15LM007088 [to EF] ).

Publisher Copyright:
© 2019 Society of Biological Psychiatry

PubMed: MeSH publication types

  • Journal Article
  • Research Support, N.I.H., Extramural


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