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18 results on '"Homuth G"'

1. Genome-wide association study of pathological gambling

Author

Lang, M., Leménager, T., Streit, F., Fauth-Bühler, M., Frank, J., Juraeva, D., Witt, S.H., Degenhardt, F., Hofmann, A., Heilmann-Heimbach, S., Kiefer, F., Brors, B., Grabe, H.-J., John, U., Bischof, A., Bischof, G., Völker, U., Homuth, G., Beutel, M., Lind, P.A., Medland, S.E., Slutske, W.S., Martin, N.G., Völzke, H., Nöthen, M.M., Meyer, C., Rumpf, H.-J., Wurst, F.M., Rietschel, M., and Mann, K.F.

Published
2016
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3. Meta-analysis of genome-wide association studies of anxiety disorders

Author

Otowa, T, Hek, K, Lee, M, Byrne, E M, Mirza, S S, Nivard, M G, Bigdeli, T, Aggen, S H, Adkins, D, Wolen, A, Fanous, A, Keller, M C, Castelao, E, Kutalik, Z, der Auwera, S V, Homuth, G, Nauck, M, Teumer, A, Milaneschi, Y, Hottenga, J-J, Direk, N, Hofman, A, Uitterlinden, A, Mulder, C L, Henders, A K, Medland, S E, Gordon, S, Heath, A C, Madden, P A F, Pergadia, M L, van der Most, P J, Nolte, I M, van Oort, F V A, Hartman, C A, Oldehinkel, A J, Preisig, M, Grabe, H J, Middeldorp, C M, Penninx, B W J H, Boomsma, D, Martin, N G, Montgomery, G, Maher, B S, van den Oord, E J, Wray, N R, Tiemeier, H, and Hettema, J M

Published
2016
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4. Association of heat shock proteins with all-cause mortality

Author

Broer, L., Demerath, E. W., Garcia, M. E., Homuth, G., Kaplan, R. C., Lunetta, K. L., Tanaka, T., Tranah, G. J., Walter, S., Arnold, A. M., Atzmon, G., Harris, T. B., Hoffmann, W., Karasik, D., Kiel, D. P., Kocher, T., Launer, L. J., Lohman, K. K., Rotter, J. I., Tiemeier, H., Uitterlinden, A. G., Wallaschofski, H., Bandinelli, S., Dörr, M., Ferrucci, L., Franceschini, N., Gudnason, V., Hofman, A., Liu, Y., Murabito, J. M., Newman, A. B., Oostra, B. A., Psaty, B. M., Smith, A. V., and van Duijn, C. M.

Published
2013
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9. A GWAS meta‐analysis from 5 population‐based cohorts implicates ion channel genes in the pathogenesis of irritable bowel syndrome.

Author

Bonfiglio, F., Henström, M., Nag, A., Hadizadeh, F., Zheng, T., Cenit, M. C., Tigchelaar, E., Williams, F., Reznichenko, A., Ek, W. E., Rivera, N. V., Homuth, G., Aghdassi, A. A., Kacprowski, T., Männikkö, M., Karhunen, V., Bujanda, L., Rafter, J., Wijmenga, C., and Ronkainen, J.

Subjects
IRRITABLE colon, GENE mapping, ION channels, META-analysis, PATHOLOGICAL physiology
Abstract

Abstract: Background: Irritable bowel syndrome (IBS) shows genetic predisposition, however, large‐scale, powered gene mapping studies are lacking. We sought to exploit existing genetic (genotype) and epidemiological (questionnaire) data from a series of population‐based cohorts for IBS genome‐wide association studies (GWAS) and their meta‐analysis. Methods: Based on questionnaire data compatible with Rome III Criteria, we identified a total of 1335 IBS cases and 9768 asymptomatic individuals from 5 independent European genotyped cohorts. Individual GWAS were carried out with sex‐adjusted logistic regression under an additive model, followed by meta‐analysis using the inverse variance method. Functional annotation of significant results was obtained via a computational pipeline exploiting ontology and interaction networks, and tissue‐specific and gene set enrichment analyses. Key Results: Suggestive GWAS signals (P ≤ 5.0 × 10−6) were detected for 7 genomic regions, harboring 64 gene candidates to affect IBS risk via functional or expression changes. Functional annotation of this gene set convincingly (best FDR‐corrected P = 3.1 × 10−10) highlighted regulation of ion channel activity as the most plausible pathway affecting IBS risk. Conclusion & Inferences: Our results confirm the feasibility of population‐based studies for gene‐discovery efforts in IBS, identify risk genes and loci to be prioritized in independent follow‐ups, and pinpoint ion channels as important players and potential therapeutic targets warranting further investigation. [ABSTRACT FROM AUTHOR]

Published
2018
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10. Exome Variant Analysis of Chronic Periodontitis in 2 Large Cohort Studies.

Author

Kasbohm, E., Holtfreter, B., Völker, U., Petersmann, A., Samietz, S., Biffar, R., Völzke, H., Meisel, P., Kacprowski, T., Homuth, G., Kocher, T., and Teumer, A.

Subjects
PERIODONTITIS, PERIODONTAL disease, NUCLEOTIDES, CHRONIC pain, HUMAN genetic variation, GENETICS, DISEASE risk factors
Abstract

Periodontitis is characterized by inflammation of the gingival tissue. The main risk factors are socioeconomic factors, sex, age, smoking, and diabetes, but periodontal disease has also a genetic background. Previous genome-wide association studies failed to reveal genome-wide significant associations of single common single-nucleotide polymorphisms with chronic periodontitis. Using the Illumina ExomeChip data of 6,576 participants of the German population-based cohort studies Study of Health in Pomerania (SHIP) and SHIP-Trend, the authors performed single variant and also gene-based association studies of rare and common exonic variations on different periodontal case definitions. Although our study comprised the largest sample size to date to assess genetic predisposition for chronic periodontitis, the authors found no significant association. This study emphasizes that for chronic periodontitis, large sample sizes will be necessary to find genetic associations, even when examining rare genetic variants. [ABSTRACT FROM AUTHOR]

Published
2017
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11. Genetic effects influencing risk for major depressive disorder in China and Europe

Author

Bigdeli, T B, Ripke, S, Peterson, R E, Trzaskowski, M, Bacanu, S-A, Abdellaoui, A, Andlauer, T F M, Beekman, A T F, Berger, K, Blackwood, D H R, Boomsma, D I, Breen, G, Buttenschøn, H N, Byrne, E M, Cichon, S, Clarke, T-K, Couvy-Duchesne, B, Craddock, N, de Geus, E J C, Degenhardt, F, Dunn, E C, Edwards, A C, Fanous, A H, Forstner, A J, Frank, J, Gill, M, Gordon, S D, Grabe, H J, Hamilton, S P, Hardiman, O, Hayward, C, Heath, A C, Henders, A K, Herms, S, Hickie, I B, Hoffmann, P, Homuth, G, Hottenga, J-J, Ising, M, Jansen, R, Kloiber, S, Knowles, J A, Lang, M, Li, Q S, Lucae, S, MacIntyre, D J, Madden, P A F, Martin, N G, McGrath, P J, McGuffin, P, McIntosh, A M, Medland, S E, Mehta, D, Middeldorp, C M, Milaneschi, Y, Montgomery, G W, Mors, O, Müller-Myhsok, B, Nauck, M, Nyholt, D R, Nöthen, M M, Owen, M J, Penninx, B W J H, Pergadia, M L, Perlis, R H, Peyrot, W J, Porteous, D J, Potash, J B, Rice, J P, Rietschel, M, Riley, B P, Rivera, M, Schoevers, R, Schulze, T G, Shi, J, Shyn, S I, Smit, J H, Smoller, J W, Streit, F, Strohmaier, J, Teumer, A, Treutlein, J, Van der Auwera, S, van Grootheest, G, van Hemert, A M, Völzke, H, Webb, B T, Weissman, M M, Wellmann, J, Willemsen, G, Witt, S H, Levinson, D F, Lewis, C M, Wray, N R, Flint, J, Sullivan, P F, and Kendler, K S

Abstract

Major depressive disorder (MDD) is a common, complex psychiatric disorder and a leading cause of disability worldwide. Despite twin studies indicating its modest heritability (~30–40%), extensive heterogeneity and a complex genetic architecture have complicated efforts to detect associated genetic risk variants. We combined single-nucleotide polymorphism (SNP) summary statistics from the CONVERGE and PGC studies of MDD, representing 10 502 Chinese (5282 cases and 5220 controls) and 18 663 European (9447 cases and 9215 controls) subjects. We determined the fraction of SNPs displaying consistent directions of effect, assessed the significance of polygenic risk scores and estimated the genetic correlation of MDD across ancestries. Subsequent trans-ancestry meta-analyses combined SNP-level evidence of association. Sign tests and polygenic score profiling weakly support an overlap of SNP effects between East Asian and European populations. We estimated the trans-ancestry genetic correlation of lifetime MDD as 0.33; female-only and recurrent MDD yielded estimates of 0.40 and 0.41, respectively. Common variants downstream of GPHN achieved genome-wide significance by Bayesian trans-ancestry meta-analysis (rs9323497; log10 Bayes Factor=8.08) but failed to replicate in an independent European sample (P=0.911). Gene-set enrichment analyses indicate enrichment of genes involved in neuronal development and axonal trafficking. We successfully demonstrate a partially shared polygenic basis of MDD in East Asian and European populations. Taken together, these findings support a complex etiology for MDD and possible population differences in predisposing genetic factors, with important implications for future genetic studies.

Published
2017
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12. Genetic variants associated with cardiac structure and function: a meta-analysis and replication of genome-wide association data.

Author

Vasan RS, Glazer NL, Felix JF, Lieb W, Wild PS, Felix SB, Watzinger N, Larson MG, Smith NL, Dehghan A, Grosshennig A, Schillert A, Teumer A, Schmidt R, Kathiresan S, Lumley T, Aulchenko YS, König IR, Zeller T, and Homuth G

Abstract

Context: Echocardiographic measures of left ventricular (LV) structure and function are heritable phenotypes of cardiovascular disease.Objective: To identify common genetic variants associated with cardiac structure and function by conducting a meta-analysis of genome-wide association data in 5 population-based cohort studies (stage 1) with replication (stage 2) in 2 other community-based samples.Design, Setting, and Participants: Within each of 5 community-based cohorts comprising the EchoGen consortium (stage 1; n = 12 612 individuals of European ancestry; 55% women, aged 26-95 years; examinations between 1978-2008), we estimated the association between approximately 2.5 million single-nucleotide polymorphisms (SNPs; imputed to the HapMap CEU panel) and echocardiographic traits. In stage 2, SNPs significantly associated with traits in stage 1 were tested for association in 2 other cohorts (n = 4094 people of European ancestry). Using a prespecified P value threshold of 5 x 10(-7) to indicate genome-wide significance, we performed an inverse variance-weighted fixed-effects meta-analysis of genome-wide association data from each cohort.Main Outcome Measures: Echocardiographic traits: LV mass, internal dimensions, wall thickness, systolic dysfunction, aortic root, and left atrial size.Results: In stage 1, 16 genetic loci were associated with 5 echocardiographic traits: 1 each with LV internal dimensions and systolic dysfunction, 3 each with LV mass and wall thickness, and 8 with aortic root size. In stage 2, 5 loci replicated (6q22 locus associated with LV diastolic dimensions, explaining <1% of trait variance; 5q23, 12p12, 12q14, and 17p13 associated with aortic root size, explaining 1%-3% of trait variance).Conclusions: We identified 5 genetic loci harboring common variants that were associated with variation in LV diastolic dimensions and aortic root size, but such findings explained a very small proportion of variance. Further studies are required to replicate these findings, identify the causal variants at or near these loci, characterize their functional significance, and determine whether they are related to overt cardiovascular disease. [ABSTRACT FROM AUTHOR]

Published
2009
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13. Development of an improved protocol to analyse gene expression in temporomandibular joint condylar cartilage of rats using DNA microarrays.

Author

Gedrange, T., Weingärtner, J., Hoffmann, A., Homuth, G., Ernst, F., Bokan, I., Mai, R., and Proff, P.

Subjects
GENE expression, DNA, GENOMES, TEMPOROMANDIBULAR joint, STATISTICS, PROTEASE inhibitors, GROWTH factors
Abstract

Purpose: During recent years, gene expression analyses based on DNA chip technologies have allowed for the genome--wide identification of genes potentially associated with growth processes in a variety of organs. The present study aims to identify genes differentially expressed in the growing temporomandibular joint cartilage by means of transcriptome analyses. Material and Methods: In total, the condylar cartilage of 32 rats comprising 4 age groups (newborn, 10 days, 21 days, 8 weeks) were used for analysis. Transcriptome analyses were carried out using Affymelrix Expression Arrays (Rat Genome 230 2.0 Arrays). The availability of high-quality RNA preparations from homogeneous tissue samples is a fundamental precondition of successful transcriptome analyses using DNA arrays. An optimised preparation protocol allowed RNA isolation of sutficiant quality which was validated using capillary electropboresis. RNA collected from 8 test animals of die 4 age groups respectively was mixed in equimolar RNA pools which served for the wanscriptome analyses using Affymetrix arrays. Results: Statistical analysis of the gene expression data indicated the existence of genes differentially regulated in the growing temporomandibular cartilage. This evidence, however, requires validation by RT-PCR using individual animals' RNA. Preliminary candidate genes belong, among others, to the groups of matrix-degrading proteases, protease inhibitors and genes involved in cell growth, epoptosis and bone remodelling. Conclusion: These differentially expressed genes in TMJ growth identified using DNA array technology may possibly contribute to a better understanding of growth biology and provide an approach to necessary therapy. [ABSTRACT FROM AUTHOR]

Published
2008
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17. Replication of the association of chromosomal region 9p21.3 with generalized aggressive periodontitis (gAgP) using an independent case-control cohort

Author

Ernst Florian D, Uhr Katharina, Teumer Alexander, Fanghänel Jutta, Schulz Susanne, Noack Barbara, Gonzales Jose, Reichert Stefan, Eickholz Peter, Holtfreter Birte, Meisel Peter, Linden Gerard J, Homuth Georg, and Kocher Thomas

Subjects
Internal medicine, RC31-1245, Genetics, QH426-470
Abstract

Abstract Background The human chromosomal region 9p21.3 has been shown to be strongly associated with Coronary Heart Disease (CHD) in several Genome-wide Association Studies (GWAS). Recently, this region has also been shown to be associated with Aggressive Periodontitis (AgP), strengthening the hypothesis that the established epidemiological association between periodontitis and CHD is caused by a shared genetic background, in addition to common environmental and behavioural risk factors. However, the size of the analyzed cohorts in this primary analysis was small compared to other association studies on complex diseases. Using our own AgP cohort, we attempted to confirm the described associations for the chromosomal region 9p21.3. Methods We analyzed our cohort consisting of patients suffering from the most severe form of AgP, generalized AgP (gAgP) (n = 130) and appropriate periodontally healthy control individuals (n = 339) by genotyping four tagging SNPs (rs2891168, rs1333042, rs1333048 and rs496892), located in the chromosomal region 9p21.3, that have been associated with AgP. Results The results confirmed significant associations between three of the four SNPs and gAgP. The combination of our results with those from the study which described this association for the first time in a meta-analysis of the four tagging SNPs produced clearly lower p-values compared with the results of each individual study. According to these results, the most plausible genetic model for the association of all four tested SNPs with gAgP seems to be the multiplicative one. Conclusion We positively replicated the finding of an association between the chromosomal region 9p21.3 and gAgP. This result strengthens support for the hypothesis that shared susceptibility genes within this chromosomal locus might be involved in the pathogenesis of both CHD and gAgP.

Published
2010
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18. Applying polygenic risk scoring for psychiatric disorders to a large family with bipolar disorder and major depressive disorder

Author

Peter P. Zandi, Lisa Jones, Aartjan T.F. Beekman, Christine Fraser, Andreas J. Forstner, Nese Direk, Mark Lathrop, Jesper Krogh, Merete Nordentoft, Bradley T. Webb, Yihan Li, Michael Bauer, Qingqin S. Li, Daniel J. Smith, Carsten Horn, Robert C. Thompson, René Breuer, Eli A. Stahl, David A. Collier, Richard Williamson, Boomsma, Dorret, I, Céline S. Reinbold, Laura J. Scott, Manolis Kogevinas, Jacob Lawrence, Caroline Hayward, Nicholas J. Schork, Penelope A. Lind, Wade H. Berrettini, John B. Vincent, Toni-Kim Clarke, Henry Voelzke, Stacy Steinberg, Hreinn Stefansson, Dean F. MacKinnon, Thorgeir E. Thorgeirsson, Niamh Mullins, Esben Agerbo, Rudolf Uher, Christina M. Hultman, Pamela A. F. Madden, Eva C. Schulte, Matthew Flickinger, Sebastian Zöllner, Kenneth S. Kendler, Urban Ösby, Enrique Castelao, Michael John Owen, Colm O'Dushlaine, Jens Treutlein, Joanna Hauser, Markus M. Noethen, Erin N. Smith, James McKay, Sandra Van der Auwera, Erin C. Dunn, Steven P. Hamilton, Martin Schalling, Helmut Vedder, Katherine Gordon-Smith, Fabio Rivas, Matthias Nauck, James B. Potash, Morten Mattingsdal, Ling Shen, Tim B. Bigdeli, Kimberly Chambert, Volker Arolt, Daniel L. Koller, Annelie Nordin Adolfsson, Na Cai, Nicholas G. Martin, Carlos N. Pato, Georg Homuth, Jonas Bybjerg-Grauholm, Alexander Teumer, Wesley K. Thompson, Hamel Patel, Jian Yang, Margit Burmeister, Frank Bellivier, Jodie N. Painter, Enda M. Byrne, Margarita Rivera, Nicholas John Craddock, Tatiana Foroud, Shaun Purcell, Paul D. Shilling, David Craig, Vanessa Kiyomi Ota, Michael Boehnke, Devin Absher, Stéphane Jamain, Anne Farmer, Yunpeng Wang, Ole Mors, William A. Scheftner, Jack D. Barchas, Robert Maier, Stanley J. Watson, Allan H. Young, Baptiste Couvy-Duchesne, Jakob Grove, Rick Jansen, John P. Rice, Gerome Breen, Eske M. Derks, Ingrid Melle, Tiffany A. Greenwood, Manuel Mattheisen, Bernard Ng, Edward M. Scolnick, Stefan Kloiber, Lili Milani, Yuri Milaneschi, Fermín Mayoral, Engilbert Sigurdsson, Sarah E. Medland, Wolfgang Maier, Alan F. Schatzberg, Myrna M. Weissman, Jun Li, John R. Kelsoe, Eric Jorgenson, Grant C.B. Sinnamon, Preben Bo Mortensen, Jana Strohmaier, William Byerley, Michel G. Nivard, Richard M. Myers, Evelin Mihailov, Gustavo Turecki, Benjamin S. Pickard, Ian J. Deary, Bernhard T. Baune, Marian L. Hamshere, Stephanie H. Witt, Patrick F. Sullivan, Jennifer L. Moran, Farnush Farhadi Hassan Kiadeh, Cathryn M. Lewis, Srdjan Djurovic, Ian B. Hickie, Hans J. Grabe, Helena Gaspar, Francis J. McMahon, Catherine Schaefer, Guy A. Rouleau, Sandra Meier, Derek W. Morris, Tõnu Esko, Wouter J. Peyrot, Markus Schwarz, Silviu-Alin Bacanu, Adam Wright, Melvin G. McInnis, Elaine K. Green, Douglas M. Ruderfer, Danielle Posthuma, Franziska Degenhardt, Per Qvist, Henriette N. Buttenschøn, Jolanta Lissowska, Stephan Ripke, Nicholas Bass, Giorgio Pistis, Emma M. Quinn, Shantel Weinsheimer, Howard J. Edenberg, Sintia Iole Belangero, Charles Curtis, Ashley R. Winslow, Tracy M. Air, Johannes H. Smit, Isaac S. Kohane, Wei Xu, Pamela B. Mahon, Neonila Szeszenia-Dabrowska, Gonneke Willemsen, Ivan Nikolov, Sven Cichon, Gregory E. Crawford, David M. Hougaard, E.J.C. de Geus, Klaus Berger, Evaristus A. Nwulia, Fernando S. Goes, Pablo Cervantes, Udo Dannlowski, Rolf Adolfsson, Thomas G. Schulze, Bruno Etain, Mark J. Adams, Thomas Hansen, Hugh Gurling, Fan Guo Meng, Judith A. Badner, Julien Bryois, Mateus Jose Abdalla Diniz, Rodrigo A. Bressan, Radhika Kandaswamy, Josef Frank, I. Nicol Ferrier, Bertram Mueller-Myhsok, Manuel A. R. Ferreira, Marion Leboyer, Futao Zhang, Valentina Moskvina, Patrik K. E. Magnusson, Laura M. Huckins, Douglas Blackwood, Michael Gill, Jianxin Shi, Dale R. Nyholt, Nancy L. Pedersen, André G. Uitterlinden, Henning Tiemeier, Vassily Trubetskoy, Scott D. Gordon, Ian Jones, Grant W. Montgomery, Martin Preisig, Cristiana Cruceanu, Sara A. Paciga, Lena Backlund, Abdel Abdellaoui, Andres Metspalu, Gunnar Morken, Marcus Ising, Sascha B. Fischer, Lilijana Oruc, Sian Caesar, Sarah Kittel-Schneider, Thalia C. Eley, Vihra Milanova, Thomas Werge, Andrew Heath, Katherine E. Tansey, Thomas W. Muehleisen, Jane H. Christensen, Chunyu Liu, Mikael Landén, Douglas F. Levinson, Julia Kraft, Juergen Wellmann, Coleman, Jonathan R., I, Peng Zhang, Glyn Lewis, Henning Teismann, Hamdi Mbarek, Carsten Bøcker Pedersen, Szabolcs Szelinger, Alexander Viktorin, Paul Brennan, Brenda W.J.H. Penninx, Maciej Trzaskowski, Yang Wu, Katharina Domschke, John Strauss, Hilary K. Finucane, Detelina Grozeva, Peter Holmans, Saira Saeed Mirza, Ole A. Andreassen, John I. Nurnberger, Lynsey S Hall, Till F. M. Andlauer, Sara Mostafavi, Andreas Reif, Joanna M. Biernacka, Christine Søholm Hansen, Hualin S. Xi, Stephen Newhouse, William E. Bunney, Andrew M. McIntosh, Anna Maaser, Enrico Domenici, Shyn, Stanley, I, Gail Davies, Warren W. Kretzschmar, Simone de Jong, Lucía Colodro-Conde, Pippa A. Thomson, Francis M. Mondimore, Martin Hautzinger, Cinnamon S. Bloss, Fabian Streit, James L. Kennedy, Erik Pettersson, Peter M. Visscher, Valentina Escott-Price, Donald J. MacIntyre, Johannes Schumacher, Kevin A. McGhee, Divya Mehta, Naomi R. Wray, Robert A. Schoevers, John A. Rice, Jordan W. Smoller, Anders D. Børglum, Susanne Lucae, Jorge A. Quiroz, Daniel Umbricht, Jouke-Jan Hottenga, Kari Stefansson, Marcella Rietschel, Zoltán Kutalik, Sarah E. Bergen, Paul F. O'Reilly, Amanda Dobbyn, Michael Conlon O'Donovan, Falk W. Lohoff, Caroline M. Nievergelt, David J. Porteous, Matthew Traylor, Brien P. Riley, Roy H. Perlis, J. Raymond DePaulo, Martin Alda, James A. Knowles, Cristiano Noto, Keith Matthews, Mark A. Frye, Patrick J. McGrath, Roseann E. Peterson, David St Clair, Roel A. Ophoff, William Coryell, Peter McGuffin, Andiara Calado Saloma Rodrigues, Elliot S. Gershon, Conor V. Dolan, Janice M. Fullerton, Weihua Guan, Niklas Långström, Pamela Sklar, Paul Lichtenstein, Per Hoffmann, Ary Gadelha, Alan W. McLean, Andrew McQuillin, Philip B. Mitchell, Huda Akil, Piotr M. Czerski, Michael Steffens, Hogni Oskarsson, Soumya Raychaudhuri, Marcos L. Santoro, Elisabeth B. Binder, Christel M. Middeldorp, Jose G. Para, Jurgen Del-Favero, Vishwajit L. Nimgaonkar, Peter R. Schofield, Stefan Herms, Marie Bækvad-Hansen, Andrea Pfennig, Albert M. van Hemert, Jutta Kammerer-Ciernioch, Adebayo Anjorin, Sara Paciga, William Lawson, George Kirov, Aiden Corvin, Maria Grigoroiu-Serbanescu, Marianne Giørtz Pedersen, Jonathan Marchini, Markus Leber, Maria Hipolito, Louise Frisén, Margitta Borrmann-Hassenbach, Amanda Elkin, Major Depressive Disorder and Bipolar Disorder Working Groups of the Psychiatric Genomics Consortium, Wray, N.R., Ripke, S., Mattheisen, M., Trzaskowski, M., Byrne, E.M., Abdellaoui, A., Adams, M.J., Agerbo, E., Air, T.M., Andlauer, TFM, Bacanu, S.A., Bækvad-Hansen, M., Beekman, ATF, Bigdeli, T.B., Binder, E.B., Blackwood, DHR, Bryois, J., Buttenschøn, H.N., Bybjerg-Grauholm, J., Cai, N., Castelao, E., Christensen, J.H., Clarke, T.K., Coleman, JRI, Colodro-Conde, L., Couvy-Duchesne, B., Craddock, N., Crawford, G.E., Davies, G., Deary, I.J., Degenhardt, F., Derks, E.M., Direk, N., Dolan, C.V., Dunn, E.C., Eley, T.C., Escott-Price, V., Kiadeh, FFH, Finucane, H.K., Forstner, A.J., Frank, J., Gaspar, H.A., Gill, M., Goes, F.S., Gordon, S.D., Grove, J., Hansen, C.S., Hansen, T.F., Herms, S., Hickie, I.B., Hoffmann, P., Homuth, G., Horn, C., Hottenga, J.J., Hougaard, D.M., Ising, M., Jansen, R., Jones, I., Jones, L.A., Jorgenson, E., Knowles, J.A., Kohane, I.S., Kraft, J., Kretzschmar, W.W., Krogh, J., Kutalik, Z., Li, Y., Lind, P.A., MacIntyre, D.J., MacKinnon, D.F., Maier, R.M., Maier, W., Marchini, J., Mbarek, H., McGrath, P., McGuffin, P., Medland, S.E., Mehta, D., Middeldorp, C.M., Mihailov, E., Milaneschi, Y., Milani, L., Mondimore, F.M., Montgomery, G.W., Mostafavi, S., Mullins, N., Nauck, M., Ng, B., Nivard, M.G., Nyholt, D.R., Oskarsson, H., Owen, M.J., Painter, J.N., Pedersen, C.B., Pedersen, M.G., Peterson, R.E., Pettersson, E., Peyrot, W.J., Pistis, G., Posthuma, D., Quiroz, J.A., Qvist, P., Rice, J.P., Riley, B.P., Rivera, M., Mirza, S.S., Schoevers, R., Schulte, E.C., Shen, L., Shyn, S.I., Sigurdsson, E., Sinnamon, GCB, Smit, J.H., Smith, D.J., Stefansson, H., Steinberg, S., Streit, F., Strohmaier, J., Tansey, K.E., Teismann, H., Teumer, A., Thompson, W., Thomson, P.A., Thorgeirsson, T.E., Traylor, M., Treutlein, J., Trubetskoy, V., Uitterlinden, A.G., Umbricht, D., Van der Auwera, S., van Hemert, A.M., Viktorin, A., Visscher, P.M., Wang, Y., Webb, B.T., Weinsheimer, S.M., Wellmann, J., Willemsen, G., Witt, S.H., Wu, Y., Xi, H.S., Yang, J., Zhang, F., Arolt, V., Baune, B.T., Berger, K., Boomsma, D.I., Cichon, S., Dannlowski, U., de Geus, EJC, DePaulo, J.R., Domenici, E., Domschke, K., Esko, T., Grabe, H.J., Hamilton, S.P., Hayward, C., Heath, A.C., Kendler, K.S., Kloiber, S., Lewis, G., Li, Q.S., Lucae, S., Madden, PAF, Magnusson, P.K., Martin, N.G., McIntosh, A.M., Metspalu, A., Mors, O., Mortensen, P.B., Müller-Myhsok, B., Nordentoft, M., Nöthen, M.M., O'Donovan, M.C., Paciga, S.A., Pedersen, N.L., Penninx, BWJH, Perlis, R.H., Porteous, D.J., Potash, J.B., Preisig, M., Rietschel, M., Schaefer, C., 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Psychology, Psychiatry, and Internal Medicine

Subjects
Netherlands Twin Register (NTR), 0301 basic medicine, Major Depressive Disorder and Bipolar Disorder Working Groups of the Psychiatric Genomics Consortium, Bipolar Disorder, SAMPLE, Medicine (miscellaneous), Pedigree chart, Disease, 0302 clinical medicine, SCHIZOPHRENIA, 2.1 Biological and endogenous factors, Medicine, Aetiology, ANTICIPATION, lcsh:QH301-705.5, Psychiatry, 0303 health sciences, Depression, ASSOCIATION, Serious Mental Illness, Mental Health, Schizophrenia, Major depressive disorder, General Agricultural and Biological Sciences, Engineering sciences. Technology, medicine.medical_specialty, Context (language use), Article, Psykiatri, General Biochemistry, Genetics and Molecular Biology, 03 medical and health sciences, AGE, SDG 3 - Good Health and Well-being, ddc:570, Behavioral and Social Science, Genetics, PLINK, Genetic Testing, Bipolar disorder, Biology, 030304 developmental biology, business.industry, Prevention, Human Genome, Assortative mating, medicine.disease, Brain Disorders, 030104 developmental biology, Mood, lcsh:Biology (General), Mood disorders, Anticipation (genetics), ONSET, Human medicine, business, 030217 neurology & neurosurgery
Abstract

Psychiatric disorders are thought to have a complex genetic pathology consisting of interplay of common and rare variation. Traditionally, pedigrees are used to shed light on the latter only, while here we discuss the application of polygenic risk scores to also highlight patterns of common genetic risk. We analyze polygenic risk scores for psychiatric disorders in a large pedigree (n ~ 260) in which 30% of family members suffer from major depressive disorder or bipolar disorder. Studying patterns of assortative mating and anticipation, it appears increased polygenic risk is contributed by affected individuals who married into the family, resulting in an increasing genetic risk over generations. This may explain the observation of anticipation in mood disorders, whereby onset is earlier and the severity increases over the generations of a family. Joint analyses of rare and common variation may be a powerful way to understand the familial genetics of psychiatric disorders., Simone de Jong et al. examine the balance of common and rare risk for psychiatric disorders in a large family with high incidence of Bipolar Disorder and Major Depressive Disorder. They find that increased polygenic risk over generations could be partially due to assortative mating, which may explain the observation of anticipation in mood disorders.

Published
2018

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