Literature DB >> 16178930

Collaborative analysis of DRD4 and DAT genotypes in population-defined ADHD subtypes.

Richard D Todd1, Hongyan Huang, Susan L Smalley, Stanley F Nelson, Erik G Willcutt, Bruce F Pennington, Shelley D Smith, Stephen V Faraone, Rosalind J Neuman.   

Abstract

BACKGROUND: It has been proposed that some of the variability in reporting of associations between attention deficit hyperactivity disorder (ADHD) and candidate genes may result from mixing of genetically heterogeneous forms of ADHD using DSM-IV criteria. The goal of the current study is to test whether population-based ADHD subtypes defined by latent class analysis help resolve issues of variable findings across individual gene association studies.
METHODS: Three studies which had previously reported no associations between polymorphisms of the DRD4 and DAT genes and DSM-IV defined ADHD were reanalyzed using population-based and DSM-IV defined ADHD subtypes.
RESULTS: Across studies no significant associations were found for either DRD4 or DAT polymorphisms using DSM-IV ADHD subtypes. In contrast, a significant association was found between the combined data set for the 440 base pair 3' DAT VNTR polymorphism and population-defined severe combined ADHD (OR=1.25, p=.01). A marginally significant association was also found between the 7 repeat DRD4 allele and population-defined severe combined ADHD.
CONCLUSION: Use of alternative population-based defined ADHD subtypes may help resolve some of the variable results presented for candidate gene association studies in ADHD.

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Year:  2005        PMID: 16178930     DOI: 10.1111/j.1469-7610.2005.01517.x

Source DB:  PubMed          Journal:  J Child Psychol Psychiatry        ISSN: 0021-9630            Impact factor:   8.982


  28 in total

1.  Interaction of dopamine transporter (DAT1) genotype and maltreatment for ADHD: a latent class analysis.

Authors:  James J Li; Steve S Lee
Journal:  J Child Psychol Psychiatry       Date:  2012-05-31       Impact factor: 8.982

2.  Latent class subtyping of attention-deficit/hyperactivity disorder and comorbid conditions.

Authors:  Maria T Acosta; F Xavier Castellanos; Kelly L Bolton; Joan Z Balog; Patricia Eagen; Linda Nee; Janet Jones; Luis Palacio; Christopher Sarampote; Heather F Russell; Kate Berg; Mauricio Arcos-Burgos; Maximilian Muenke
Journal:  J Am Acad Child Adolesc Psychiatry       Date:  2008-07       Impact factor: 8.829

3.  Searching for valid psychiatric phenotypes: discrete latent variable models.

Authors:  Jeannie-Marie S Leoutsakos; Peter P Zandi; Karen Bandeen-Roche; Constantine G Lyketsos
Journal:  Int J Methods Psychiatr Res       Date:  2010-06       Impact factor: 4.035

4.  Comorbid symptoms of inattention, autism, and executive cognition in youth with putative genetic risk.

Authors:  Anne B Arnett; Brianna E Cairney; Arianne S Wallace; Jennifer Gerdts; Tychele N Turner; Evan E Eichler; Raphael A Bernier
Journal:  J Child Psychol Psychiatry       Date:  2017-09-18       Impact factor: 8.982

Review 5.  Understanding the complex etiologies of developmental disorders: behavioral and molecular genetic approaches.

Authors:  Erik G Willcutt; Bruce F Pennington; Laramie Duncan; Shelley D Smith; Janice M Keenan; Sally Wadsworth; John C Defries; Richard K Olson
Journal:  J Dev Behav Pediatr       Date:  2010-09       Impact factor: 2.225

Review 6.  ADHD and smoking: from genes to brain to behavior.

Authors:  Francis Joseph McClernon; Scott Haden Kollins
Journal:  Ann N Y Acad Sci       Date:  2008-10       Impact factor: 5.691

7.  ADHD latent class clusters: DSM-IV subtypes and comorbidity.

Authors:  Josephine Elia; Mauricio Arcos-Burgos; Kelly L Bolton; Paul J Ambrosini; Wade Berrettini; Maximilian Muenke
Journal:  Psychiatry Res       Date:  2009-11-08       Impact factor: 3.222

8.  Latent class analysis of antisocial behavior: interaction of serotonin transporter genotype and maltreatment.

Authors:  James J Li; Steve S Lee
Journal:  J Abnorm Child Psychol       Date:  2010-08

9.  Genes implicated in serotonergic and dopaminergic functioning predict BMI categories.

Authors:  Bernard F Fuemmeler; Tanya D Agurs-Collins; F Joseph McClernon; Scott H Kollins; Melanie E Kail; Andrew W Bergen; Allison E Ashley-Koch
Journal:  Obesity (Silver Spring)       Date:  2008-02       Impact factor: 5.002

Review 10.  Placing neuroanatomical models of executive function in a developmental context: imaging and imaging--genetic strategies.

Authors:  Karin Brocki; Jin Fan; John Fossella
Journal:  Ann N Y Acad Sci       Date:  2008       Impact factor: 5.691

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