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Genetic Variations in Attention Deficit Hyperactivity Disorder Subtypes and Treatment Resistant Cases

Overview of attention for article published in Psychiatry Investigation, July 2016
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Title
Genetic Variations in Attention Deficit Hyperactivity Disorder Subtypes and Treatment Resistant Cases
Published in
Psychiatry Investigation, July 2016
DOI 10.4306/pi.2016.13.4.427
Pubmed ID
Authors

Dilek Unal, Mehmet Fatih Unal, Mehmet Alikasifoglu, Arda Cetinkaya

Abstract

ObjectiveaaWe evaluated the distribution of alpha-2A adrenergic receptor (ADRA2A) and catechol-o-methyltransferase (COMT) single nucleotide polymorphisms (SNPs) among ADHD subtypes and other homogeneous patient populations including treatment-resistant cases and patients with high symptom severity. Methodsaa121 ADHD patients aged 6-18 years were included in the study. Diagnosis and subtypes designation were confirmed using the Kiddie Schedule for Affective Disorders and Schizophrenia (K-SADS) and symptoms were evaluated using the Conners' Parent (CPRS) and Teacher Rating Scales (CTRS). The response to methylphenidate was assessed objectively using the Clinical Global Impression-Severity Scale (CGI-S) and Global Assessment of Functioning Scale (GAS) as well as the Continuous Performance (CPT) and Trail Making tests (TMT-A, B). Patients were genotyped for ADRA2A (rs1800544) and COMT (rs4680) SNPs by PCR/RFLP and compared to a gender-matched control group. Although there was no association of COMT (rs4680) SNP with symptoms or diagnosis, the ADRA2A polymorphism, low socioeconomic status (SES), and comorbid psychiatric diagnosis were all associated with poor response to methylphenidate in logistic regression analysis. Clinicians may consider adjuvant strategies when these negative factors are present to increase the success of tailored ADHD treatments in the future.

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The data shown below were compiled from readership statistics for 46 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 46 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 7 15%
Student > Bachelor 6 13%
Student > Ph. D. Student 4 9%
Student > Master 4 9%
Student > Doctoral Student 3 7%
Other 9 20%
Unknown 13 28%
Readers by discipline Count As %
Psychology 9 20%
Medicine and Dentistry 6 13%
Biochemistry, Genetics and Molecular Biology 2 4%
Neuroscience 2 4%
Agricultural and Biological Sciences 2 4%
Other 8 17%
Unknown 17 37%