@article{Freitag‐WolfMunzJungeetal.2021,
  author    = {Freitag-Wolf, Sandra and Munz, Matthias and Junge, Olaf and Graetz, Christian and Jockel-Schneider, Yvonne and Staufenbiel, Ingmar and Bruckmann, Corinna and Lieb, Wolfgang and Franke, Andre and Loos, Bruno G. and Jepsen, S{\o}ren and Dommisch, Henrik and Schaefer, Arne S.},
  title     = {Sex-specific genetic factors affect the risk of early-onset periodontitis in Europeans},
  series = {Journal of Clinical Periodontology},
  volume    = {48},
  journal   = {Journal of Clinical Periodontology},
  number    = {11},
  doi       = {10.1111/jcpe.13538},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-262445},
  pages     = {1404 -- 1413},
  year      = {2021},
  abstract  = {Aims Various studies have reported that young European women are more likely to develop early-onset periodontitis compared to men. A potential explanation for the observed variations in sex and age of disease onset is the natural genetic variation within the autosomal genomes. We hypothesized that genotype-by-sex (G × S) interactions contribute to the increased prevalence and severity. Materials and methods Using the case-only design, we tested for differences in genetic effects between men and women in 896 North-West European early-onset cases, using imputed genotypes from the OmniExpress genotyping array. Population-representative 6823 controls were used to verify that the interacting variables G and S were uncorrelated in the general population. Results In total, 20 loci indicated G × S associations (P < 0.0005), 3 of which were previously suggested as risk genes for periodontitis (ABLIM2, CDH13, and NELL1). We also found independent G × S interactions of the related gene paralogs MACROD1/FLRT1 (chr11) and MACROD2/FLRT3 (chr20). G × S-associated SNPs at CPEB4, CDH13, MACROD1, and MECOM were genome-wide-associated with heel bone mineral density (CPEB4, MECOM), waist-to-hip ratio (CPEB4, MACROD1), and blood pressure (CPEB4, CDH13). Conclusions Our results indicate that natural genetic variation affects the different heritability of periodontitis among sexes and suggest genes that contribute to inter-sex phenotypic variation in early-onset periodontitis.},
  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}
}