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Vilor-Tejedor N, Alemany S, Forns J, Cáceres A, Murcia M, Macià D, Pujol J, Sunyer J, González JR. Assessment of Susceptibility Risk Factors for ADHD in Imaging Genetic Studies. J Atten Disord 2019; 23:671-681. [PMID: 27535943 DOI: 10.1177/1087054716664408] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
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.
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Affiliation(s)
- N Vilor-Tejedor
- 1 SGlobal - Centre for Research in Environmental Epidemiology, Barcelona, Spain.,2 Universitat Pompeu Fabra, Barcelona, Spain.,3 CIBER Epidemiología y Salud Pública, Barcelona, Spain
| | - S Alemany
- 1 SGlobal - Centre for Research in Environmental Epidemiology, Barcelona, Spain.,2 Universitat Pompeu Fabra, Barcelona, Spain.,3 CIBER Epidemiología y Salud Pública, Barcelona, Spain
| | - J Forns
- 1 SGlobal - Centre for Research in Environmental Epidemiology, Barcelona, Spain.,2 Universitat Pompeu Fabra, Barcelona, Spain.,3 CIBER Epidemiología y Salud Pública, Barcelona, Spain.,4 Norwegian Institute of Public Health, Oslo, Norway
| | - A Cáceres
- 1 SGlobal - Centre for Research in Environmental Epidemiology, Barcelona, Spain.,2 Universitat Pompeu Fabra, Barcelona, Spain.,3 CIBER Epidemiología y Salud Pública, Barcelona, Spain
| | - M Murcia
- 3 CIBER Epidemiología y Salud Pública, Barcelona, Spain.,5 FISABIO-Universitat Jaume I-Universitat de València Joint Research Unit of Epidemiology and Environmental Health, Valencia, Spain
| | - D Macià
- 6 Hospital del Mar, Cibersam G21, Barcelona, Spain
| | - J Pujol
- 6 Hospital del Mar, Cibersam G21, Barcelona, Spain
| | - J Sunyer
- 1 SGlobal - Centre for Research in Environmental Epidemiology, Barcelona, Spain.,2 Universitat Pompeu Fabra, Barcelona, Spain.,3 CIBER Epidemiología y Salud Pública, Barcelona, Spain.,7 Hospital del Mar Medical Research Institute, Barcelona, Spain
| | - J R González
- 1 SGlobal - Centre for Research in Environmental Epidemiology, Barcelona, Spain.,2 Universitat Pompeu Fabra, Barcelona, Spain.,3 CIBER Epidemiología y Salud Pública, Barcelona, Spain
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