Assessment of Susceptibility Risk Factors for ADHD in Imaging Genetic Studies.
J Atten Disord. 2016 Aug 17;
Authors: Vilor-Tejedor N, Alemany S, Forns J, Cáceres A, Murcia M, Macià D, Pujol J, Sunyer J, González JR
Abstract
OBJECTIVE: ADHD consists of a count of symptoms that often presents heterogeneity due to overdispersion and excess of zeros. Statistical inference is usually based on a dichotomous outcome that is underpowered. The main goal of this study was to determine a suited probability distribution to analyze ADHD symptoms in Imaging Genetic studies.
METHOD: We used two independent population samples of children to evaluate the consistency of the standard probability distributions based on count data for describing ADHD symptoms.
RESULTS: We showed that the zero-inflated negative binomial (ZINB) distribution provided the best power for modeling ADHD symptoms. ZINB reveals a genetic variant, rs273342 (Microtubule-Associated Protein [MAPRE2]), associated with ADHD (p value = 2.73E-05). This variant was also associated with perivascular volumes (Virchow-Robin spaces; p values < 1E-03). No associations were found when using dichotomous definition.
CONCLUSION: We suggest that an appropriate modeling of ADHD symptoms increases statistical power to establish significant risk factors.
PMID: 27535943 [PubMed – as supplied by publisher]
via http://www.ncbi.nlm.nih.gov/pubmed/27535943?dopt=Abstract