Genetic influences on ADHD symptom dimensions: Examination of a priori candidates, gene-based tests, genome-wide variation, and SNP heritability.
Bidwell LC et al.
American Journal of Medical Genetics. Part B, Neuropsychiatric Genetics. 2017 Jun; 174(4):458-466
https://doi.org/10.1002/ajmg.b.32535PMID: 28512748Although the heritability of ADHD is estimated to be high, identifying specific genetic markers remains challenging. Most studies to date have examined the genetic basis of ADHD by employing dichotomous diagnostic phenotypes, but, as ADHD symptoms tend to be phenotypically dimensional, an alternative and potentially informative approach is to examine continuous indices of inattention and hyperactivity-impulsivity symptoms. The current study aimed to identify genetic effects on dimensionally-focused adult ADHD-related phenotypes in 990 individuals of European ancestry with intentionally low levels of substance misuse to avoid confounding. The study used four complementary approaches: (1) analysis of a priori candidate loci identified in prior meta-analytic work; (2) gene-based analysis; (3) hypothesis-free genome-wide association testing; and (4) single nucleotide polymorphism (SNP) heritability via genomic-relatedness-matrix restricted maximum likelihood analysis (GREML). The GREML analysis included a bivariate model to test whether the ADHD symptom dimensions index the same genetic liability. The results revealed significant differential associations between two a priori loci and ADHD phenotypes, rs6296 in HTR1B with inattention and rs3746544 in SNAP-25 with hyperactivity-impulsivity. No significant gene-based or genome-wide associations were detected, but SNP heritability revealed that a large portion of genetic variance was accounted for by common SNPs (44%, 55%, and 59% for inattention, hyperactivity-impulsivity, and total ADHD, respectively) and substantial shared genetic variance across inattention and hyperactivity-impulsivity (86%). These findings reveal both unique and common patterns of genetic influences across dimensional ADHD-related phenotypes. More broadly, these findings reveal the value in using multiple methods to understand the genetic etiology of ADHD.
© 2017 Wiley Periodicals, Inc.
© 2017 Wiley Periodicals, Inc.
- Bidwell LC 1,
- Gray JC 2, 3,
- Weafer J 4,
- Palmer AA 5, 6,
- de Wit H 4,
- MacKillop J 7, 8
Affiliations
- 1 Institute of Cognitive Science, University of Colorado at Boulder, Boulder, Colorado
- 2 Department of Psychology, University of Georgia, Athens, Georgia
- 3 Department of Psychiatry and Human Behavior, Brown University, Providence, Rhode Isl
- 4 Department of Psychiatry and Behavioral Neuroscience, University of Chicago, Chicago, Illinois
- 5 Department of Psychiatry, University of California San Diego, San Diego, California
- 6 Institute for Genomic Medicine, University of California San Diego, La Jolla, California
- 7 Peter Boris Centre for Addictions Research, McMaster University/St. Joseph's Healthcare Hamilton, Hamilton, Canada
- 8 Homewood Research Institute, Homewood Health Centre, Guelph, Canada
This work was supported by:
NIDA NIH HHS, United States
GrantID: R01 DA032015
NIDA NIH HHS, United States
GrantID: K23 DA033302
NIAAA NIH HHS, United States
GrantID: K01 AA024519








