Literature DB >> 32042548

Behavior and Molecular Genetic Approaches to Comorbidity.

Erik G Willcutt1.   

Abstract

PURPOSE OF REVIEW: This review provides an overview of studies that used behavioral genetic methods to understand the genetic and environmental influences that lead to comorbidity, the co-occurrence of two or more developmental disorders in the same individual. RECENT
FINDINGS: Comorbidity is primarily explained by shared genetic influences for most pairs of disorders that have been studied, including attention deficit hyperactivity disorder (ADHD) and learning disabilities, conduct disorder and ADHD, anxiety and depression, and anxiety and autism spectrum disorder (ASD). Molecular genetic studies indicate that the etiologies of developmental disorders are highly multifactorial, with dozens or even hundreds of genes acting in combination with environmental risk factors to lead to each individual disorder and the extensive comorbidity between disorders. Due to this complexity, current state-of-the-art studies are now combining molecular genetic data from multiple large samples to begin to achieve adequate statistical power to identify the specific genetic polymorphisms that lead to comorbidity.
SUMMARY: An extensive literature demonstrates the pervasiveness and potential importance of comorbidity between developmental disorders, and results of family, twin, and molecular genetic studies indicate that these comorbidities may be largely explained by shared genetic influences. Additional studies are ongoing to identify the specific genetic polymorphisms that increase risk for each developmental disorder and comorbidity between disorders.

Entities:  

Keywords:  ADHD; Comorbidity; developmental; genetics; learning; psychopathology

Year:  2019        PMID: 32042548      PMCID: PMC7009785          DOI: 10.1007/s40474-019-00162-0

Source DB:  PubMed          Journal:  Curr Dev Disord Rep


  42 in total

Review 1.  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 2.  Review and meta-analysis of the phenomenology and clinical characteristics of mania in children and adolescents.

Authors:  Robert A Kowatch; Eric A Youngstrom; Arman Danielyan; Robert L Findling
Journal:  Bipolar Disord       Date:  2005-12       Impact factor: 6.744

3.  Genetic and environmental influences on Anxious/Depression during childhood: a study from the Netherlands Twin Register.

Authors:  D I Boomsma; C E M van Beijsterveldt; J J Hudziak
Journal:  Genes Brain Behav       Date:  2005-11       Impact factor: 3.449

Review 4.  A critical review of the first 10 years of candidate gene-by-environment interaction research in psychiatry.

Authors:  Laramie E Duncan; Matthew C Keller
Journal:  Am J Psychiatry       Date:  2011-09-02       Impact factor: 18.112

5.  Association of ADHD and the Protogenin gene in the chromosome 15q21.3 reading disabilities linkage region.

Authors:  K G Wigg; Y Feng; J Crosbie; R Tannock; J L Kennedy; A Ickowicz; M Malone; R Schachar; C L Barr
Journal:  Genes Brain Behav       Date:  2008-11       Impact factor: 3.449

6.  Family transmission and heritability of externalizing disorders: a twin-family study.

Authors:  Brian M Hicks; Robert F Krueger; William G Iacono; Matt McGue; Christopher J Patrick
Journal:  Arch Gen Psychiatry       Date:  2004-09

7.  Etiology of the comorbidity between RD and ADHD: exploration of the non-random mating hypothesis.

Authors:  Melanie C Friedman; Nomita Chhabildas; Nisha Budhiraja; Erik G Willcutt; Bruce F Pennington
Journal:  Am J Med Genet B Neuropsychiatr Genet       Date:  2003-07-01       Impact factor: 3.568

Review 8.  Genome-wide association studies in ADHD.

Authors:  Barbara Franke; Benjamin M Neale; Stephen V Faraone
Journal:  Hum Genet       Date:  2009-04-22       Impact factor: 4.132

9.  Biological insights from 108 schizophrenia-associated genetic loci.

Authors: 
Journal:  Nature       Date:  2014-07-22       Impact factor: 49.962

10.  A genome-wide association study identifies multiple loci associated with mathematics ability and disability.

Authors:  S J Docherty; O S P Davis; Y Kovas; E L Meaburn; P S Dale; S A Petrill; L C Schalkwyk; R Plomin
Journal:  Genes Brain Behav       Date:  2009-11-10       Impact factor: 3.449

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.