Maria T Acosta1, F Xavier Castellanos1, Kelly L Bolton1, Joan Z Balog1, Patricia Eagen1, Linda Nee1, Janet Jones1, Luis Palacio1, Christopher Sarampote1, Heather F Russell1, Kate Berg1, Mauricio Arcos-Burgos1, Maximilian Muenke2. 1. Drs. Acosta, Palacio, Sarampote, Russell, Berg, Arcos-Burgos, and Muenke, Ms. Bolton, Ms. Balog, Ms. Eagen, Ms. Nee, and Ms. Jones are with the National Human Genome Research Institute, National Institutes of Health, Bethesda, MA: and Dr. Castellanos is with the New York University Child Study Center. 2. Drs. Acosta, Palacio, Sarampote, Russell, Berg, Arcos-Burgos, and Muenke, Ms. Bolton, Ms. Balog, Ms. Eagen, Ms. Nee, and Ms. Jones are with the National Human Genome Research Institute, National Institutes of Health, Bethesda, MA: and Dr. Castellanos is with the New York University Child Study Center. Electronic address: mmuenke@nhgri.nih.gov.
Abstract
OBJECTIVE: Genetic studies of attention-deficit/hyperactivity disorder (ADHD) generally use discrete DSM-IV subtypes to define diagnostic status. To improve correspondence between phenotypic variance and putative susceptibility genes, multivariate classification methods such as latent class analysis (LCA) have been proposed. The aim of this study was to perform LCA in a sample of 1,010 individuals from a nationwide recruitment of unilineal nuclear families with at least one child with ADHD and another child either affected or clearly unaffected. METHOD: LCA models containing one through 10 classes were fitted to data derived from all DSM-IV symptoms for ADHD, oppositional defiant disorder, and conduct disorder (CD), as well as seven items that screen for anxiety and depression from the National Initiative for Children's Healthcare Quality Vanderbilt Assessment Scale for Parents. RESULTS: We replicated six to eight statistically significantly distinct clusters, similar to those described in other cross-cultural studies, mostly stable when comorbidities are included. For all age groups, anxiety and depression are strongly related to Inattentive and Combined types. Externalizing symptoms, especially CD, are strongly associated with the Combined type of ADHD. Oppositional defiant disorder symptoms in young children are associated with either conduct disorder or anxiety-related symptoms. CONCLUSIONS: Methods such as LCA allow inclusion of information about comorbidities to be quantitatively incorporated into genetic studies. LCA also permits incorporation of milder but still impairing phenotypes than are allowed using the DSM-IV. Such methods may be essential for analyses of large multicenter datasets and relevant for future clinical classifications. This population-based ADHD classification may help resolve the contradictory results presented in molecular genetic studies.
OBJECTIVE: Genetic studies of attention-deficit/hyperactivity disorder (ADHD) generally use discrete DSM-IV subtypes to define diagnostic status. To improve correspondence between phenotypic variance and putative susceptibility genes, multivariate classification methods such as latent class analysis (LCA) have been proposed. The aim of this study was to perform LCA in a sample of 1,010 individuals from a nationwide recruitment of unilineal nuclear families with at least one child with ADHD and another child either affected or clearly unaffected. METHOD: LCA models containing one through 10 classes were fitted to data derived from all DSM-IV symptoms for ADHD, oppositional defiant disorder, and conduct disorder (CD), as well as seven items that screen for anxiety and depression from the National Initiative for Children's Healthcare Quality Vanderbilt Assessment Scale for Parents. RESULTS: We replicated six to eight statistically significantly distinct clusters, similar to those described in other cross-cultural studies, mostly stable when comorbidities are included. For all age groups, anxiety and depression are strongly related to Inattentive and Combined types. Externalizing symptoms, especially CD, are strongly associated with the Combined type of ADHD. Oppositional defiant disorder symptoms in young children are associated with either conduct disorder or anxiety-related symptoms. CONCLUSIONS: Methods such as LCA allow inclusion of information about comorbidities to be quantitatively incorporated into genetic studies. LCA also permits incorporation of milder but still impairing phenotypes than are allowed using the DSM-IV. Such methods may be essential for analyses of large multicenter datasets and relevant for future clinical classifications. This population-based ADHD classification may help resolve the contradictory results presented in molecular genetic studies.
Authors: R T Brown; W S Freeman; J M Perrin; M T Stein; R W Amler; H M Feldman; K Pierce; M L Wolraich Journal: Pediatrics Date: 2001-03 Impact factor: 7.124
Authors: Maria T Acosta; Carrie E Bearden; F Xavier Castellanos; Xavier F Castellanos; Laurie Cutting; Ype Elgersma; Gerard Gioia; David H Gutmann; Yong-Seok Lee; Eric Legius; Maximillian Muenke; Kathryn North; Luis F Parada; Nancy Ratner; Kim Hunter-Schaedle; Alcino J Silva Journal: Am J Med Genet A Date: 2012-07-20 Impact factor: 2.802
Authors: Benjamin D Solomon; Daniel E Pineda-Alvarez; Manu S Raam; Sophia M Bous; Amelia A Keaton; Jorge I Vélez; Derek A T Cummings Journal: Am J Med Genet A Date: 2010-09 Impact factor: 2.802