@article{JarickVolckmarPuetteretal.2014,
  author    = {Jarick, I. and Volckmar, A. L. and P{\"u}tter, C. and Pechlivanis, S. and Nguyen, T. T. and Dauvermann, M. R. and Beck, S. and Albayrak, {\"O}. and Scherag, S. and Gilsbach, S. and Cichon, S. and Hoffmann, P. and Degenhardt, F. and N{\"o}then, M. M. and Schreiber, S. and Wichmann, H. E. and J{\"o}ckel, K. H. and Heinrich, J. and Tiesler, C. M. T. and Faraone, S. V. and Walitza, S. and Sinzig, J. and Freitag, C. and Meyer, J. and Herpertz-Dahlmann, B. and Lehmkuhl, G. and Renner, T. J. and Warnke, A. and Romanos, M. and Lesch, K. P. and Reif, A. and Schimmelmann, B. G. and Hebebrand, J. and Scherag, A. and Hinney, A.},
  title     = {Genome-wide analysis of rare copy number variations reveals PARK2 as a candidate gene for attention-deficit/hyperactivity disorder},
  series = {Molecular Psychiatry},
  volume    = {19},
  journal   = {Molecular Psychiatry},
  number    = {19},
  doi       = {10.1038/mp.2012.161},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-121131},
  pages     = {115-21},
  year      = {2014},
  abstract  = {Attention-deficit/hyperactivity disorder (ADHD) is a common, highly heritable neurodevelopmental disorder. Genetic loci have not yet been identified by genome-wide association studies. Rare copy number variations (CNVs), such as chromosomal deletions or duplications, have been implicated in ADHD and other neurodevelopmental disorders. To identify rare (frequency ≤1\%) CNVs that increase the risk of ADHD, we performed a whole-genome CNV analysis based on 489 young ADHD patients and 1285 adult population-based controls and identified one significantly associated CNV region. In tests for a global burden of large (>500 kb) rare CNVs, we observed a nonsignificant (P=0.271) 1.126-fold enriched rate of subjects carrying at least one such CNV in the group of ADHD cases. Locus-specific tests of association were used to assess if there were more rare CNVs in cases compared with controls. Detected CNVs, which were significantly enriched in the ADHD group, were validated by quantitative (q)PCR. Findings were replicated in an independent sample of 386 young patients with ADHD and 781 young population-based healthy controls. We identified rare CNVs within the parkinson protein 2 gene (PARK2) with a significantly higher prevalence in ADHD patients than in controls \((P=2.8 × 10^{-4})\) after empirical correction for genome-wide testing). In total, the PARK2 locus (chr 6: 162 659 756-162 767 019) harboured three deletions and nine duplications in the ADHD patients and two deletions and two duplications in the controls. By qPCR analysis, we validated 11 of the 12 CNVs in ADHD patients \((P=1.2 × 10^{-3})\) after empirical correction for genome-wide testing). In the replication sample, CNVs at the PARK2 locus were found in four additional ADHD patients and one additional control \((P=4.3 × 10^{-2})\). Our results suggest that copy number variants at the PARK2 locus contribute to the genetic susceptibility of ADHD. Mutations and CNVs in PARK2 are known to be associated with Parkinson disease.},
  language  = {en}
}
@article{DavisYuKeenanetal.2013,
  author    = {Davis, Lea K. and Yu, Dongmei and Keenan, Clare L. and Gamazon, Eric R. and Konkashbaev, Anuar I. and Derks, Eske M. and Neale, Benjamin M. and Yang, Jian and Lee, S. Hong and Evans, Patrick and Barr, Cathy L. and Bellodi, Laura and Benarroch, Fortu and Berrio, Gabriel Bedoya and Bienvenu, Oscar J. and Bloch, Michael H. and Blom, Rianne M. and Bruun, Ruth D. and Budman, Cathy L. and Camarena, Beatriz and Campbell, Desmond and Cappi, Carolina and Cardona Silgado, Julio C. and Cath, Danielle C. and Cavallini, Maria C. and Chavira, Denise A. and Chouinard, Sylvian and Conti, David V. and Cook, Edwin H. and Coric, Vladimir and Cullen, Bernadette A. and Deforce, Dieter and Delorme, Richard and Dion, Yves and Edlund, Christopher K. and Egberts, Karin and Falkai, Peter and Fernandez, Thomas V. and Gallagher, Patience J. and Garrido, Helena and Geller, Daniel and Girard, Simon L. and Grabe, Hans J. and Grados, Marco A. and Greenberg, Benjamin D. and Gross-Tsur, Varda and Haddad, Stephen and Heiman, Gary A. and Hemmings, Sian M. J. and Hounie, Ana G. and Illmann, Cornelia and Jankovic, Joseph and Jenike, Micheal A. and Kennedy, James L. and King, Robert A. and Kremeyer, Barbara and Kurlan, Roger and Lanzagorta, Nuria and Leboyer, Marion and Leckman, James F. and Lennertz, Leonhard and Liu, Chunyu and Lochner, Christine and Lowe, Thomas L. and Macciardi, Fabio and McCracken, James T. and McGrath, Lauren M. and Restrepo, Sandra C. Mesa and Moessner, Rainald and Morgan, Jubel and Muller, Heike and Murphy, Dennis L. and Naarden, Allan L. and Ochoa, William Cornejo and Ophoff, Roel A. and Osiecki, Lisa and Pakstis, Andrew J. and Pato, Michele T. and Pato, Carlos N. and Piacentini, John and Pittenger, Christopher and Pollak, Yehunda and Rauch, Scott L. and Renner, Tobias J. and Reus, Victor I. and Richter, Margaret A. and Riddle, Mark A. and Robertson, Mary M. and Romero, Roxana and Ros{\`a}rio, Maria C. and Rosenberg, David and Rouleau, Guy A. and Ruhrmann, Stephan and Ruiz-Linares, Andreas and Sampaio, Aline S. and Samuels, Jack and Sandor, Paul and Sheppard, Broke and Singer, Harvey S. and Smit, Jan H. and Stein, Dan J. and Strengman, E. and Tischfield, Jay A. and Valencia Duarte, Ana V. and Vallada, Homero and Van Nieuwerburgh, Flip and Veenstra-VanderWeele, Jeremy and Walitza, Susanne and Wang, Ying and Wendland, Jens R. and Westenberg, Herman G. M. and Shugart, Yin Yao and Miguel, Euripedes C. and McMahon, William and Wagner, Michael and Nicolini, Humberto and Posthuma, Danielle and Hanna, Gregory L. and Heutink, Peter and Denys, Damiaan and Arnold, Paul D. and Oostra, Ben A. and Nestadt, Gerald and Freimer, Nelson B. and Pauls, David L. and Wray, Naomi R. and Stewart, S. Evelyn and Mathews, Carol A. and Knowles, James A. and Cox, Nancy J. and Scharf, Jeremiah M.},
  title     = {Partitioning the Heritability of Tourette Syndrome and Obsessive Compulsive Disorder Reveals Differences in Genetic Architecture},
  series = {PLoS Genetics},
  volume    = {9},
  journal   = {PLoS Genetics},
  number    = {10},
  issn      = {1553-7390},
  doi       = {10.1371/journal.pgen.1003864},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-127377},
  pages     = {e1003864},
  year      = {2013},
  abstract  = {The direct estimation of heritability from genome-wide common variant data as implemented in the program Genome-wide Complex Trait Analysis (GCTA) has provided a means to quantify heritability attributable to all interrogated variants. We have quantified the variance in liability to disease explained by all SNPs for two phenotypically-related neurobehavioral disorders, obsessive-compulsive disorder (OCD) and Tourette Syndrome (TS), using GCTA. Our analysis yielded a heritability point estimate of 0.58 (se = 0.09, p = 5.64e-12) for TS, and 0.37 (se = 0.07, p = 1.5e-07) for OCD. In addition, we conducted multiple genomic partitioning analyses to identify genomic elements that concentrate this heritability. We examined genomic architectures of TS and OCD by chromosome, MAF bin, and functional annotations. In addition, we assessed heritability for early onset and adult onset OCD. Among other notable results, we found that SNPs with a minor allele frequency of less than 5\% accounted for 21\% of the TS heritability and 0\% of the OCD heritability. Additionally, we identified a significant contribution to TS and OCD heritability by variants significantly associated with gene expression in two regions of the brain (parietal cortex and cerebellum) for which we had available expression quantitative trait loci (eQTLs). Finally we analyzed the genetic correlation between TS and OCD, revealing a genetic correlation of 0.41 (se = 0.15, p = 0.002). These results are very close to previous heritability estimates for TS and OCD based on twin and family studies, suggesting that very little, if any, heritability is truly missing (i.e., unassayed) from TS and OCD GWAS studies of common variation. The results also indicate that there is some genetic overlap between these two phenotypically-related neuropsychiatric disorders, but suggest that the two disorders have distinct genetic architectures.},
  language  = {en}
}
@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}
}