@article{JainVelezAcostaetal.2012, author = {Jain, M. and V{\´e}lez, J. I. and Acosta, M. T. and Palacio, L. G. and Balog, J. and Roessler, E. and Pineda, D. and Londo{\~n}o, A. C. and Palacio, J. D. and Arbelaez, A. and Lopera, F. and Elia, J. and Hakonarson, H. and Seitz, C. and Freitag, C. M. and Palmason, H. and Meyer, J. and Romanos, M. and Walitza, S. and Hemminger, U. and Warnke, A. and Romanos, J. and Renner, T. and Jacob, C. and Lesch, K.-P. and Swanson, J. and Castellanos, F. X. and Bailey-Wilson, J. E. and Arcos-Burgos, M. and Muenke, M.}, title = {A cooperative interaction between LPHN3 and 11q doubles the risk for ADHD}, series = {Molecular Psychiatry}, volume = {17}, journal = {Molecular Psychiatry}, doi = {10.1038/mp.2011.59}, url = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-125128}, pages = {741-747}, year = {2012}, abstract = {In previous studies of a genetic isolate, we identified significant linkage of attention deficit hyperactivity disorder (ADHD) to 4q, 5q, 8q, 11q and 17p. The existence of unique large size families linked to multiple regions, and the fact that these families came from an isolated population, we hypothesized that two-locus interaction contributions to ADHD were plausible. Several analytical models converged to show significant interaction between 4q and 11q (P<1 × 10-8) and 11q and 17p (P<1 × 10-6). As we have identified that common variants of the LPHN3 gene were responsible for the 4q linkage signal, we focused on 4q-11q interaction to determine that single-nucleotide polymorphisms (SNPs) harbored in the LPHN3 gene interact with SNPs spanning the 11q region that contains DRD2 and NCAM1 genes, to double the risk of developing ADHD. This interaction not only explains genetic effects much better than taking each of these loci effects by separated but also differences in brain metabolism as depicted by proton magnetic resonance spectroscopy data and pharmacogenetic response to stimulant medication. These findings not only add information about how high order genetic interactions might be implicated in conferring susceptibility to develop ADHD but also show that future studies of the effects of genetic interactions on ADHD clinical information will help to shape predictive models of individual outcome.}, language = {en} } @article{FrankeFaraoneAshersonetal.2012, author = {Franke, B. and Faraone, S. V. and Asherson, P. and Buitelaar, J. and Bau, C. H. D. and Ramos-Quiroga, J. A. and Mick, E. and Grevet, E. H. and Johansson, S. and Haavik, J. and Lesch, K.-P. and Cormand, B. and Reif, A.}, title = {The genetics of attention deficit/hyperactivity disorder in adults, a review}, series = {Molecular Psychiatry}, volume = {17}, journal = {Molecular Psychiatry}, doi = {10.1038/mp.2011.138}, url = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-124677}, pages = {960-987}, year = {2012}, abstract = {The adult form of attention deficit/hyperactivity disorder (aADHD) has a prevalence of up to 5\% and is the most severe long-term outcome of this common neurodevelopmental disorder. Family studies in clinical samples suggest an increased familial liability for aADHD compared with childhood ADHD (cADHD), whereas twin studies based on self-rated symptoms in adult population samples show moderate heritability estimates of 30-40\%. However, using multiple sources of information, the heritability of clinically diagnosed aADHD and cADHD is very similar. Results of candidate gene as well as genome-wide molecular genetic studies in aADHD samples implicate some of the same genes involved in ADHD in children, although in some cases different alleles and different genes may be responsible for adult versus childhood ADHD. Linkage studies have been successful in identifying loci for aADHD and led to the identification of LPHN3 and CDH13 as novel genes associated with ADHD across the lifespan. In addition, studies of rare genetic variants have identified probable causative mutations for aADHD. Use of endophenotypes based on neuropsychology and neuroimaging, as well as next-generation genome analysis and improved statistical and bioinformatic analysis methods hold the promise of identifying additional genetic variants involved in disease etiology. Large, international collaborations have paved the way for well-powered studies. Progress in identifying aADHD risk genes may provide us with tools for the prediction of disease progression in the clinic and better treatment, and ultimately may help to prevent persistence of ADHD into adulthood.}, language = {en} }