A special issue of American Journal of Medical Genetics (AJMG): Part B: Neuropsychiatric Genetics presents a comprehensive overview of the latest progress in genetic research of Attention Deficit/Hyperactivity Disorder (ADHD). The issue covers major trends in the field of complex psychiatric genetics, underscoring how genetic studies of ADHD have evolved, and what approaches are needed to uncover its genetic origins.
Despite the high efficacy of ADHD medications, these treatments are not curative and leave patients with residual disability. Because ADHD is also has one of the most heritable of psychiatric disorders, researchers have been searching for genes that underlie the disorder in the hopes that gene discovery will lead to better treatments for the disorder.
Studies have found that one genetic marker may be associated with ADHD symptoms. The studies, suggests that many genes are involved in ADHD and that each of these have small effects. Thus, larger studies are needed to fully understand the genetic mechanisms underlying ADHD and whether these initial findings can be confirmed.
Another study, also led by Dr. Faraone, is the first genome-wide study of response to methylphenidate in ADHD children. Dr. Faraone and his colleagues, examined genetic markers across the entire human genome to search for genes that may someday be used to predict which children respond most favorably to the stimulant medications used to treat ADHD. It demonstrated that, although there are likely to be genetic factors that are associated with stimulant efficacy in children with ADHD, there are no single genes with a very large impact on treatment response.
Research was conducted, in part, through the Genetics Analysis Information Network (GAIN), a public-private partnership between the National Institutes of Health and the private sector with the goal of promoting genome mapping for various complex diseases.
Recent advances in these technologies have facilitated the cost-effective genotyping of hundreds of thousands of DNA markers. Genome-wide association studies (GWAS) hold great promise for identifying genetic variants for disease. GWAS have already been successful in identifying variants associated with many complex diseases including obesity, age-related macular degeneration, Type I and Type II diabetes, Crohn's disease and prostate cancer.