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2. Enrichment of cis-regulatory gene expression SNPs and methylation quantitative trait loci among bipolar disorder susceptibility variants

Author

Gamazon, E R, Badner, J A, Cheng, L, Zhang, C, Zhang, D, Cox, N J, Gershon, E S, Kelsoe, J R, Greenwood, T A, Nievergelt, C M, Chen, C, McKinney, R, Shilling, P D, Schork, N J, Smith, E N, Bloss, C S, Nurnberger, J I, Edenberg, H J, Foroud, T, Koller, D L, Scheftner, W A, Coryell, W, Rice, J, Lawson, W B, Nwulia, E A, Hipolito, M, Byerley, W, McMahon, F J, Schulze, T G, Berrettini, W H, Potash, J B, Zandi, P P, Mahon, P B, McInnis, M G, Zöllner, S, Zhang, P, Craig, D W, Szelinger, S, Barrett, T B, and Liu, C

Published
2013
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3. Bipolar multiplex families have an increased burden of common risk variants for psychiatric disorders

Author

Andlauer, TFM, Guzman-Parra, J, Streit, F, Strohmaier, J, González, MJ, Gil Flores, S, Cabaleiro Fabeiro, FJ, del Río Noriega, F, Perez, FP, Haro González, J, Orozco Diaz, G, de Diego-Otero, Y, Moreno-Küstner, B, Auburger, G, Degenhardt, F, Heilmann-Heimbach, S, Herms, S, Hoffmann, P, Frank, J, Foo, JC, Treutlein, J, Witt, SH, Cichon, S, Kogevinas, M, Stahl, EA, Breen, G, Forstner, AJ, McQuillin, A, Ripke, S, Trubetskoy, V, Mattheisen, M, Wang, Y, Coleman, JRI, Gaspar, HA, de Leeuw, CA, Steinberg, S, Pavlides, JMW, Trzaskowski, M, Pers, TH, Holmans, PA, Abbott, L, Agerbo, E, Akil, H, Albani, D, Alliey-Rodriguez, N, Als, TD, Anjorin, A, Antilla, V, Awasthi, S, Badner, JA, Bækvad-Hansen, M, Barchas, JD, Bass, N, Bauer, M, Belliveau, R, Bergen, SE, Pedersen, CB, Bøen, E, Boks, M, Boocock, J, Budde, M, Bunney, W, Burmeister, M, Bybjerg-Grauholm, J, Byerley, W, Casas, M, Cerrato, F, Cervantes, P, Chambert, K, Charney, AW, Chen, D, Churchhouse, C, Clarke, TK, Coryell, W, Craig, DW, Cruceanu, C, Czerski, PM, Dale, AM, de Jong, S, Del-Favero, J, DePaulo, JR, Djurovic, S, Dobbyn, AL, Dumont, A, Elvsåshagen, T, Escott-Price, V, Fan, CC, Fischer, SB, Flickinger, M, Foroud, TM, Forty, L, Fraser, C, Freimer, NB, Frisén, L, Gade, K, Gage, D, Garnham, J, Giambartolomei, C, Andlauer, TFM, Guzman-Parra, J, Streit, F, Strohmaier, J, González, MJ, Gil Flores, S, Cabaleiro Fabeiro, FJ, del Río Noriega, F, Perez, FP, Haro González, J, Orozco Diaz, G, de Diego-Otero, Y, Moreno-Küstner, B, Auburger, G, Degenhardt, F, Heilmann-Heimbach, S, Herms, S, Hoffmann, P, Frank, J, Foo, JC, Treutlein, J, Witt, SH, Cichon, S, Kogevinas, M, Stahl, EA, Breen, G, Forstner, AJ, McQuillin, A, Ripke, S, Trubetskoy, V, Mattheisen, M, Wang, Y, Coleman, JRI, Gaspar, HA, de Leeuw, CA, Steinberg, S, Pavlides, JMW, Trzaskowski, M, Pers, TH, Holmans, PA, Abbott, L, Agerbo, E, Akil, H, Albani, D, Alliey-Rodriguez, N, Als, TD, Anjorin, A, Antilla, V, Awasthi, S, Badner, JA, Bækvad-Hansen, M, Barchas, JD, Bass, N, Bauer, M, Belliveau, R, Bergen, SE, Pedersen, CB, Bøen, E, Boks, M, Boocock, J, Budde, M, Bunney, W, Burmeister, M, Bybjerg-Grauholm, J, Byerley, W, Casas, M, Cerrato, F, Cervantes, P, Chambert, K, Charney, AW, Chen, D, Churchhouse, C, Clarke, TK, Coryell, W, Craig, DW, Cruceanu, C, Czerski, PM, Dale, AM, de Jong, S, Del-Favero, J, DePaulo, JR, Djurovic, S, Dobbyn, AL, Dumont, A, Elvsåshagen, T, Escott-Price, V, Fan, CC, Fischer, SB, Flickinger, M, Foroud, TM, Forty, L, Fraser, C, Freimer, NB, Frisén, L, Gade, K, Gage, D, Garnham, J, and Giambartolomei, C

Abstract

Multiplex families with a high prevalence of a psychiatric disorder are often examined to identify rare genetic variants with large effect sizes. In the present study, we analysed whether the risk for bipolar disorder (BD) in BD multiplex families is influenced by common genetic variants. Furthermore, we investigated whether this risk is conferred mainly by BD-specific risk variants or by variants also associated with the susceptibility to schizophrenia or major depression. In total, 395 individuals from 33 Andalusian BD multiplex families (166 BD, 78 major depressive disorder, 151 unaffected) as well as 438 subjects from an independent, BD case/control cohort (161 unrelated BD, 277 unrelated controls) were analysed. Polygenic risk scores (PRS) for BD, schizophrenia (SCZ), and major depression were calculated and compared between the cohorts. Both the familial BD cases and unaffected family members had higher PRS for all three psychiatric disorders than the independent controls, with BD and SCZ being significant after correction for multiple testing, suggesting a high baseline risk for several psychiatric disorders in the families. Moreover, familial BD cases showed significantly higher BD PRS than unaffected family members and unrelated BD cases. A plausible hypothesis is that, in multiplex families with a general increase in risk for psychiatric disease, BD development is attributable to a high burden of common variants that confer a specific risk for BD. The present analyses demonstrated that common genetic risk variants for psychiatric disorders are likely to contribute to the high incidence of affective psychiatric disorders in the multiplex families. However, the PRS explained only part of the observed phenotypic variance, and rare variants might have also contributed to disease development.

Published
2021

6. Genome-wide association study of bipolar disorder in European American and African American individuals

Author

Smith, E N, Bloss, C S, Badner, J A, Barrett, T, Belmonte, P L, Berrettini, W, Byerley, W, Coryell, W, Craig, D, Edenberg, H J, Eskin, E, Foroud, T, Gershon, E, Greenwood, T A, Hipolito, M, Koller, D L, Lawson, W B, Liu, C, Lohoff, F, McInnis, M G, McMahon, F J, Mirel, D B, Murray, S S, Nievergelt, C, Nurnberger, J, Nwulia, E A, Paschall, J, Potash, J B, Rice, J, Schulze, T G, Scheftner, W, Panganiban, C, Zaitlen, N, Zandi, P P, Zöllner, S, Schork, N J, and Kelsoe, J R

Published
2009
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7. Singleton deletions throughout the genome increase risk of bipolar disorder

Author

Zhang, D, Cheng, L, Qian, Y, Alliey-Rodriguez, N, Kelsoe, J R, Greenwood, T, Nievergelt, C, Barrett, T B, McKinney, R, Schork, N, Smith, E N, Bloss, C, Nurnberger, J, Edenberg, H J, Foroud, T, Sheftner, W, Lawson, W B, Nwulia, E A, Hipolito, M, Coryell, W, Rice, J, Byerley, W, McMahon, F, Schulze, T G, Berrettini, W, Potash, J B, Belmonte, P L, Zandi, P P, McInnis, M G, Zöllner, S, Craig, D, Szelinger, S, Koller, D, Christian, S L, Liu, C, and Gershon, E S

Published
2009
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16. Genome-wide association study identifies 30 loci associated with bipolar disorder

Author

Stahl, EA, Breen, G, Forstner, AJ, McQuillin, A, Ripke, S, Trubetskoy, V, Mattheisen, M, Wang, Y, Coleman, JRI, Gaspar, HA, de Leeuw, CA, Steinberg, S, Pavlides, JMW, Trzaskowski, M, Byrne, EM, Pers, TH, Holmans, PA, Richards, AL, Abbott, L, Agerbo, E, Akil, H, Albani, D, Alliey-Rodriguez, N, Als, TD, Anjorin, A, Antilla, V, Awasthi, S, Badner, JA, Bækvad-Hansen, M, Barchas, JD, Bass, N, Bauer, M, Belliveau, R, Bergen, SE, Pedersen, CB, Bøen, E, Boks, MP, Boocock, J, Budde, M, Bunney, W, Burmeister, M, Bybjerg-Grauholm, J, Byerley, W, Casas, M, Cerrato, F, Cervantes, P, Chambert, K, Charney, AW, Chen, D, Churchhouse, C, Clarke, TK, Coryell, W, Craig, DW, Cruceanu, C, Curtis, D, Czerski, PM, Dale, AM, de Jong, S, Degenhardt, F, Del-Favero, J, DePaulo, JR, Djurovic, S, Dobbyn, AL, Dumont, A, Elvsåshagen, T, Escott-Price, V, Fan, CC, Fischer, SB, Flickinger, M, Foroud, TM, Forty, L, Frank, J, Fraser, C, Freimer, NB, Frisén, L, Gade, K, Gage, D, Garnham, J, Giambartolomei, C, Pedersen, MG, Goldstein, J, Gordon, SD, Gordon-Smith, K, Green, EK, Green, MJ, Greenwood, TA, Grove, J, Guan, W, Guzman-Parra, J, Hamshere, ML, Hautzinger, M, Heilbronner, U, Herms, S, Hipolito, M, Hoffmann, P, Holland, D, Huckins, L, Jamain, S, Johnson, JS, Juréus, A, Stahl, EA, Breen, G, Forstner, AJ, McQuillin, A, Ripke, S, Trubetskoy, V, Mattheisen, M, Wang, Y, Coleman, JRI, Gaspar, HA, de Leeuw, CA, Steinberg, S, Pavlides, JMW, Trzaskowski, M, Byrne, EM, Pers, TH, Holmans, PA, Richards, AL, Abbott, L, Agerbo, E, Akil, H, Albani, D, Alliey-Rodriguez, N, Als, TD, Anjorin, A, Antilla, V, Awasthi, S, Badner, JA, Bækvad-Hansen, M, Barchas, JD, Bass, N, Bauer, M, Belliveau, R, Bergen, SE, Pedersen, CB, Bøen, E, Boks, MP, Boocock, J, Budde, M, Bunney, W, Burmeister, M, Bybjerg-Grauholm, J, Byerley, W, Casas, M, Cerrato, F, Cervantes, P, Chambert, K, Charney, AW, Chen, D, Churchhouse, C, Clarke, TK, Coryell, W, Craig, DW, Cruceanu, C, Curtis, D, Czerski, PM, Dale, AM, de Jong, S, Degenhardt, F, Del-Favero, J, DePaulo, JR, Djurovic, S, Dobbyn, AL, Dumont, A, Elvsåshagen, T, Escott-Price, V, Fan, CC, Fischer, SB, Flickinger, M, Foroud, TM, Forty, L, Frank, J, Fraser, C, Freimer, NB, Frisén, L, Gade, K, Gage, D, Garnham, J, Giambartolomei, C, Pedersen, MG, Goldstein, J, Gordon, SD, Gordon-Smith, K, Green, EK, Green, MJ, Greenwood, TA, Grove, J, Guan, W, Guzman-Parra, J, Hamshere, ML, Hautzinger, M, Heilbronner, U, Herms, S, Hipolito, M, Hoffmann, P, Holland, D, Huckins, L, Jamain, S, Johnson, JS, and Juréus, A

Abstract

Bipolar disorder is a highly heritable psychiatric disorder. We performed a genome-wide association study (GWAS) including 20,352 cases and 31,358 controls of European descent, with follow-up analysis of 822 variants with P < 1 × 10 −4 in an additional 9,412 cases and 137,760 controls. Eight of the 19 variants that were genome-wide significant (P < 5 × 10 −8 ) in the discovery GWAS were not genome-wide significant in the combined analysis, consistent with small effect sizes and limited power but also with genetic heterogeneity. In the combined analysis, 30 loci were genome-wide significant, including 20 newly identified loci. The significant loci contain genes encoding ion channels, neurotransmitter transporters and synaptic components. Pathway analysis revealed nine significantly enriched gene sets, including regulation of insulin secretion and endocannabinoid signaling. Bipolar I disorder is strongly genetically correlated with schizophrenia, driven by psychosis, whereas bipolar II disorder is more strongly correlated with major depressive disorder. These findings address key clinical questions and provide potential biological mechanisms for bipolar disorder.

Published
2019

18. Improving genetic prediction by leveraging genetic correlations among human diseases and traits

Author

Maier, R. M., Zhu, Z., Lee, S. H., Trzaskowski, M., Ruderfer, D. M., Stahl, E. A., Ripke, S., Wray, N. R., Yang, J., Visscher, P. M., Robinson, M. R., Forstner, A. J., Mcquillin, A., Trubetskoy, V., Wang, W., Wang, Y., Coleman, J. R. I., Gaspar, H. A., Leeuw, C. A., Whitehead Pavlides, J. M., Olde Loohuis, L. M., Pers, T. H., Lee, P. H., Charney, A. W., Dobbyn, A. L., Huckins, L., Boocock, J., Giambartolomei, C., Roussos, P., Mullins, N., Awasthi, S., Agerbo, E., Als, T. D., Pedersen, C. B., Grove, J., Kupka, R., Regeer, E. J., Anjorin, A., Casas, M., Mahon, P. B., Allardyce, J., Escott-Price, V., Forty, L., Fraser, C., Kogevinas, M., Frank, J., Streit, F., Strohmaier, J., Treutlein, J., Witt, S. H., Kennedy, J. L., Strauss, J. S., Garnham, J., O Donovan, C., Slaney, C., Steinberg, S., Thorgeirsson, T. E., Hautzinger, M., Steffens, M., Perlis, R. H., Sánchez-Mora, C., Hipolito, M., Lawson, W. B., Nwulia, E. A., Levy, S. E., Foroud, T. M., Jamain, S., Young, A. H., Mckay, J. D., Albani, D., Zandi, P., Potash, J. B., Zhang, P., Raymond Depaulo, J., Bergen, S. E., Juréus, A., Karlsson, R., Kandaswamy, R., Mcguffin, P., Rivera, M., Lissowska, J., Cruceanu, C., Lucae, S., Cervantes, P., Budde, M., Gade, K., Heilbronner, U., Pedersen, M. G., Morris, D. W., Weickert, C. S., Weickert, T. W., Macintyre, D. J., Lawrence, J., Elvsåshagen, T., Smeland, O. B., Djurovic, S., Xi, S., Green, E. K., Czerski, P. M., Hauser, J., Xu, W., Vedder, H., Oruc, L., Spijker, A. T., Gordon, S. D., Medland, S. E., Curtis, D., Mühleisen, T. W., Badner, J. A., Scheftner, W. A., Sigurdsson, E., Schork, N. J., Schatzberg, A. F., Bækvad-Hansen, M., Bybjerg-Grauholm, J., Hansen, C. S., Knowles, J. A., Szelinger, S., Montgomery, G. W., Boks, M., Adolfsson, A. N., Hoffmann, P., Bauer, M., Pfennig, A., Leber, M., Kittel-Schneider, S., Reif, A., Del-Favero, J., Fischer, S. B., Herms, S., Reinbold, C. S., Degenhardt, F., Koller, A. C., Maaser, A., Ori, A. P. S., Dale, A. M., Fan, C. C., Greenwood, T. A., Nievergelt, C. M., Shehktman, T., Shilling, P. D., Byerley, W., Bunney, W., Alliey-Rodriguez, N., Clarke, T. K., Liu, C., Coryell, W., Akil, H., Burmeister, M., Flickinger, M., Li, J. Z., Mcinnis, M. G., Meng, F., Thompson, R. C., Watson, S. J., Zollner, S., Guan, W., Green, M. J., Craig, D., Sobell, J. L., Milani, L., Gordon-Smith, Katherine, Knott, Sarah, Perry, Amy, Parra, J. G., Mayoral, F., Rivas, F., Rice, J. P., Barchas, J. D., Børglum, A. D., Mortensen, P. B., Mors, O., Grigoroiu-Serbanescu, M., Bellivier, F., Etain, B., Leboyer, M., Ramos-Quiroga, J. A., Agartz, I., Amin, F., Azevedo, M. H., Bass, N., Black, D. W., Blackwood, D. H. R., Bruggeman, R., Buccola, N. G., Choudhury, K., Cloninger, C. R., Corvin, A., Craddock, N., Daly, M. J., Datta, S., Donohoe, G. J., Duan, J., Dudbridge, F., Fanous, A., Freedman, R., Freimer, N. B., Friedl, M., Gill, M., Gurling, H., Haan, L., Hamshere, M. L., Hartmann, A. M., Holmans, P. A., Kahn, R. S., Keller, M. C., Kenny, E., Kirov, G. K., Krabbendam, L., Krasucki, R., Lencz, T., Levinson, D. F., Lieberman, J. A., Lin, D. -Y, Linszen, D. H., Magnusson, P. K. E., Maier, W., Malhotra, A. K., Mattheisen, M., Mattingsdal, M., Mccarroll, S. A., Medeiros, H., Melle, I., Milanova, V., Myin-Germeys, I., Neale, B. M., Ophoff, R. A., Owen, M. J., Pimm, J., Purcell, S. M., Puri, V., Digby Quested, Rossin, L., Sanders, A. R., Shi, J., Sklar, P., St Clair, D., Stroup, T. S., Os, J., Wiersma, D., Zammit, S., Maier, Robert M, Zhu, Zhihong, Lee, Sang Hong, Trzaskowski, Maciej, Ruderfer, Douglas M, Stahl, Eli A, Ripke, Stephan, Wray, Naomi R, Yang, Jian, Visscher, Peter M, Robinson, Matthew R, Bipolar Disorder Working Grp Psy, Schizophrenia Working Grp Psychiat, Complex Trait Genetics, Amsterdam Neuroscience - Complex Trait Genetics, APH - Mental Health, ANS - Complex Trait Genetics, Adult Psychiatry, and Psychiatry

Subjects
0301 basic medicine, Bipolar Disorder, Chemistry(all), Science, General Physics and Astronomy, Genomics, Genome-wide association study, Computational biology, Biology, Physics and Astronomy(all), Risk Assessment, Biochemistry, General Biochemistry, Genetics and Molecular Biology, Article, predictive medicine, quantitative trait, 03 medical and health sciences, 0302 clinical medicine, SDG 3 - Good Health and Well-being, Pleiotropy, Genetic Pleiotropy, Humans, Genetic Predisposition to Disease, lcsh:Science, Multidisciplinary, Models, Statistical, Bipolar Disorder/genetics, Genome-Wide Association Study, Schizophrenia/genetics, Biochemistry, Genetics and Molecular Biology(all), General Chemistry, Precision medicine, R1, Biobank, 3. Good health, genome wide association studies, 030104 developmental biology, Trait, Schizophrenia, statistical methods, lcsh:Q, Risk assessment, 030217 neurology & neurosurgery, Genetics and Molecular Biology(all)
Abstract

Genomic prediction has the potential to contribute to precision medicine. However, to date, the utility of such predictors is limited due to low accuracy for most traits. Here theory and simulation study are used to demonstrate that widespread pleiotropy among phenotypes can be utilised to improve genomic risk prediction. We show how a genetic predictor can be created as a weighted index that combines published genome-wide association study (GWAS) summary statistics across many different traits. We apply this framework to predict risk of schizophrenia and bipolar disorder in the Psychiatric Genomics consortium data, finding substantial heterogeneity in prediction accuracy increases across cohorts. For six additional phenotypes in the UK Biobank data, we find increases in prediction accuracy ranging from 0.7% for height to 47% for type 2 diabetes, when using a multi-trait predictor that combines published summary statistics from multiple traits, as compared to a predictor based only on one trait., Genetic prediction of complex traits so far has limited accuracy because of insufficient understanding of the genetic risk. Here, Maier et al. develop an improved method for trait prediction that makes use of genetic correlations between traits and apply it to summary statistics of psychiatric diseases.

Published
2018

21. Genomic Dissection of Bipolar Disorder and Schizophrenia, Including 28 Subphenotypes

Author

Ruderfer, DM, Ripke, S, McQuillin, A, Boocock, J, Stahl, EA, Pavlides, JMW, Mullins, N, Charney, AW, Ori, APS, Loohuis, LMO, Domenici, E, Di Florio, A, Papiol, S, Kalman, JL, Trubetskoy, V, Adolfsson, R, Agartz, I, Agerbo, E, Akil, H, Albani, D, Albus, M, Alda, M, Alexander, M, Alliey-Rodriguez, N, Als, TD, Amin, F, Anjorin, A, Arranz, MJ, Awasthi, S, Bacanu, SA, Badner, JA, Baekvad-Hansen, M, Bakker, S, Band, G, Barchas, JD, Barroso, I, Bass, N, Bauer, M, Baune, BT, Begemann, M, Bellenguez, C, Belliveau, RA, Bellivier, F, Bender, S, Bene, J, Bergen, SE, Berrettini, WH, Bevilacqua, E, Biernacka, JM, Bigdeli, TB, Black, DW, Blackburn, H, Blackwell, JM, Blackwood, DHR, Pedersen, CB, Boehnke, M, Boks, M, Borglum, AD, Bramon, E, Breen, G, Brown, MA, Bruggeman, R, Buccola, NG, Buckner, RL, Budde, M, Bulik-Sullivan, B, Bumpstead, SJ, Bunney, W, Burmeister, M, Buxbaum, JD, Bybjerg-Grauholm, J, Byerley, W, Cahn, W, Cai, G, Cairns, MJ, Campion, D, Cantor, RM, Carr, VJ, Carrera, N, Casas, JP, Casas, M, Catts, SV, Cervantes, P, Chambert, KD, Chan, RCK, Chen, EYH, Chen, RYL, Cheng, W, Cheung, EFC, Chong, SA, Clarke, TK, Cloninger, CR, Cohen, D, Cohen, N, Coleman, JRI, Collier, DA, Cormican, P, Coryell, W, Craddock, N, Craig, DW, Ruderfer, DM, Ripke, S, McQuillin, A, Boocock, J, Stahl, EA, Pavlides, JMW, Mullins, N, Charney, AW, Ori, APS, Loohuis, LMO, Domenici, E, Di Florio, A, Papiol, S, Kalman, JL, Trubetskoy, V, Adolfsson, R, Agartz, I, Agerbo, E, Akil, H, Albani, D, Albus, M, Alda, M, Alexander, M, Alliey-Rodriguez, N, Als, TD, Amin, F, Anjorin, A, Arranz, MJ, Awasthi, S, Bacanu, SA, Badner, JA, Baekvad-Hansen, M, Bakker, S, Band, G, Barchas, JD, Barroso, I, Bass, N, Bauer, M, Baune, BT, Begemann, M, Bellenguez, C, Belliveau, RA, Bellivier, F, Bender, S, Bene, J, Bergen, SE, Berrettini, WH, Bevilacqua, E, Biernacka, JM, Bigdeli, TB, Black, DW, Blackburn, H, Blackwell, JM, Blackwood, DHR, Pedersen, CB, Boehnke, M, Boks, M, Borglum, AD, Bramon, E, Breen, G, Brown, MA, Bruggeman, R, Buccola, NG, Buckner, RL, Budde, M, Bulik-Sullivan, B, Bumpstead, SJ, Bunney, W, Burmeister, M, Buxbaum, JD, Bybjerg-Grauholm, J, Byerley, W, Cahn, W, Cai, G, Cairns, MJ, Campion, D, Cantor, RM, Carr, VJ, Carrera, N, Casas, JP, Casas, M, Catts, SV, Cervantes, P, Chambert, KD, Chan, RCK, Chen, EYH, Chen, RYL, Cheng, W, Cheung, EFC, Chong, SA, Clarke, TK, Cloninger, CR, Cohen, D, Cohen, N, Coleman, JRI, Collier, DA, Cormican, P, Coryell, W, Craddock, N, and Craig, DW

Abstract

Schizophrenia and bipolar disorder are two distinct diagnoses that share symptomology. Understanding the genetic factors contributing to the shared and disorder-specific symptoms will be crucial for improving diagnosis and treatment. In genetic data consisting of 53,555 cases (20,129 bipolar disorder [BD], 33,426 schizophrenia [SCZ]) and 54,065 controls, we identified 114 genome-wide significant loci implicating synaptic and neuronal pathways shared between disorders. Comparing SCZ to BD (23,585 SCZ, 15,270 BD) identified four genomic regions including one with disorder-independent causal variants and potassium ion response genes as contributing to differences in biology between the disorders. Polygenic risk score (PRS) analyses identified several significant correlations within case-only phenotypes including SCZ PRS with psychotic features and age of onset in BD. For the first time, we discover specific loci that distinguish between BD and SCZ and identify polygenic components underlying multiple symptom dimensions. These results point to the utility of genetics to inform symptomology and potential treatment. Genetic analysis of multiple bipolar disorder and schizophrenia cohorts reveals loci and polygenic risk scores that differentiate the clinical symptoms of these two highly correlated disorders.

Published
2018

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

Author

de Jong, S, Abdalla Diniz, MJ, Saloma, A, Gadelha, A, Santoro, ML, Ota, VK, Noto, C, Curtis, C, Newhouse, SJ, Patel, H, Hall, LS, O'Reilly, PF, Belangero, S, Bressan, RA, Breen, G, Wray, NR, Ripke, S, Mattheisen, M, Trzaskowski, M, Byrne, EM, Abdellaoui, A, Adams, MJ, Agerbo, E, Air, TM, Andlauer, TFM, Bacanu, S-A, Baekvad-Hansen, M, Beekman, ATF, Bigdeli, TB, Binder, EB, Blackwood, DHR, Bryois, J, Buttenschon, HN, Bybjerg-Grauholm, J, Cai, N, Castelao, E, Christensen, JH, Clarke, T-K, Coleman, JR, Colodro-Conde, L, Couvy-Duchesne, B, Craddock, N, Crawford, GE, Davies, G, Deary, IJ, Degenhardt, F, Derks, EM, Direk, N, Dolan, C, Dunn, EC, Eley, TC, Escott-Price, V, Kiadeh, FFH, Finucane, HK, Forstner, AJ, Frank, J, Gaspar, HA, Gill, M, Goes, FS, Gordon, SD, Grove, J, Hansen, CS, Hansen, TF, Herms, S, Hickie, IB, Hoffmann, P, Homuth, G, Horn, C, Hottenga, J-J, Hougaard, DM, Ising, M, Jansen, R, Jones, I, Jones, LA, Jorgenson, E, Knowles, JA, Kohane, IS, Kraft, J, Kretzschmar, WW, Krogh, J, Kutalik, Z, Li, Y, Lind, PA, MacIntyre, DJ, MacKinnon, DF, Maier, RM, Maier, W, Marchini, J, Mbarek, H, Mcgrath, P, Mcguffin, P, Medland, SE, Mehta, D, Middeldorp, CM, Mihailov, E, Milaneschi, Y, Milani, L, Mondimore, FM, Montgomery, GW, Mostafavi, S, Mullins, N, Nauck, M, Ng, B, Nivard, MG, Nyholt, DR, Oskarsson, H, Owen, MJ, Painter, JN, Pedersen, CB, Pedersen, MG, Peterson, RE, Pettersson, E, Peyrot, WJ, Pistis, G, Posthuma, D, Quiroz, JA, Qvist, P, Rice, JP, Riley, BP, Rivera, M, Mirza, SS, Schoevers, R, Schulte, EC, Shen, L, Shyn, S, Sigurdsson, E, Sinnamon, GCB, Smit, JH, Smith, DJ, Stefansson, H, Steinberg, S, Streit, F, Strohmaier, J, Tansey, KE, Teismann, H, Teumer, A, Thompson, W, Thomson, PA, Thorgeirsson, TE, Traylor, M, Treutlein, J, Trubetskoy, V, Uitterlinden, AG, Umbricht, D, Van der Auwera, S, van Hemert, AM, Viktorin, A, Visscher, PM, Wang, Y, Webb, BT, Weinsheimer, SM, Wellmann, J, Willemsen, G, Witt, SH, Wu, Y, Xi, HS, Yang, J, Zhang, F, Arolt, V, Baune, BT, Berger, K, Boomsma, D, Cichon, S, Dannlowski, U, de Geus, EJC, DePaulo, JR, Domenici, E, Domschke, K, Esko, T, Grabe, HJ, Hamilton, SP, Hayward, C, Heath, AC, Kendler, KS, Kloiber, S, Lewis, G, Li, QS, Lucae, S, Madden, PAF, Magnusson, PK, Martin, NG, McIntosh, AM, Metspalu, A, Mors, O, Mortensen, PB, Mueller-Myhsok, B, Nordentoft, M, Noethen, MM, O'Donovan, MC, Paciga, SA, Pedersen, NL, Penninx, BWJH, Perlis, RH, Porteous, DJ, Potash, JB, Preisig, M, Rietschel, M, Schaefer, C, Schulze, TG, Smoller, JW, Stefansson, K, Tiemeier, H, Uher, R, Voelzke, H, Weissman, MM, Werge, T, Lewis, CM, Levinson, DF, Borglum, AD, Sullivan, PF, Meier, S, Strauss, J, Xu, W, Vincent, JB, Matthews, K, Ferreira, M, O'Dushlaine, C, Purcell, S, Raychaudhuri, S, Ruderfer, DM, Sklar, P, Scott, LJ, Flickinger, M, Burmeister, M, Li, J, Guan, W, Absher, D, Thompson, RC, Meng, FG, Schatzberg, AF, Bunney, WE, Barchas, JD, Watson, SJ, Myers, RM, Akil, H, Boehnke, M, Chambert, K, Moran, J, Scolnick, E, Djurovic, S, Melle, I, Morken, G, Corvin, A, Anjorin, A, Kandaswamy, R, Lawrence, J, McLean, AW, Pickard, BS, Bergen, SE, Nimgaonkar, V, Landen, M, Schalling, M, Osby, U, Backlund, L, Frisen, L, Langstrom, N, Stahl, E, Dobbyn, A, Jamain, S, Etain, B, Bellivier, F, Leber, M, Maaser, A, Fischer, SB, Reinbold, CS, Kittel-Schneider, S, Fullerton, JM, Oruc, L, Para, JG, Mayoral, F, Rivas, F, Czerski, PM, Kammerer-Ciernioch, J, Vedder, H, Borrmann-Hassenbach, M, Pfennig, A, Brennan, P, McKay, JD, Kogevinas, M, Schwarz, M, Schofield, PR, Muehleisen, TW, Schumacher, J, Bauer, M, Wright, A, Mitchell, PB, Hautzinger, M, Kelsoe, JR, Greenwood, TA, Nievergelt, CM, Shilling, PD, Smith, EN, Bloss, CS, Edenberg, HJ, Koller, DL, Gershon, ES, Liu, C, Badner, JA, Scheftner, WA, Lawson, WB, Nwulia, EA, Hipolito, M, Coryell, W, Rice, J, Byerley, W, McMahon, FJ, Lohoff, FW, Zandi, PP, Mahon, PB, McInnis, MG, Zollner, S, Zhang, P, Szelinger, S, St Clair, D, Caesar, S, Gordon-Smith, K, Fraser, C, Green, EK, Grozeva, D, Hamshere, ML, Kirov, G, Nikolov, I, Collier, DA, Elkin, A, Williamson, R, Young, AH, Ferrier, IN, Milanova, V, Alda, M, Cervantes, P, Cruceanu, C, Rouleau, GA, Turecki, G, Paciga, S, Winslow, AR, Grigoroiu-Serbanescu, M, Ophoff, R, Adolfsson, R, Adolfsson, AN, Del-Favero, J, Pato, C, Biernacka, JM, Frye, MA, Morris, D, Schork, NJ, Reif, A, Lissowska, J, Hauser, J, Szeszenia-Dabrowska, N, McGhee, K, Quinn, E, Moskvina, V, Holmans, PA, Farmer, A, Kennedy, JL, Andreassen, OA, Mattingsdal, M, Bass, NJ, Gurling, H, McQuillin, A, Breuer, R, Hultman, C, Lichtenstein, P, Huckins, LM, Leboyer, M, Lathrop, M, Nurnberger, J, Steffens, M, Foroud, TM, Berrettini, WH, Craig, DW, Shi, J, de Jong, S, Abdalla Diniz, MJ, Saloma, A, Gadelha, A, Santoro, ML, Ota, VK, Noto, C, Curtis, C, Newhouse, SJ, Patel, H, Hall, LS, O'Reilly, PF, Belangero, S, Bressan, RA, Breen, G, Wray, NR, Ripke, S, Mattheisen, M, Trzaskowski, M, Byrne, EM, Abdellaoui, A, Adams, MJ, Agerbo, E, Air, TM, Andlauer, TFM, Bacanu, S-A, Baekvad-Hansen, M, Beekman, ATF, Bigdeli, TB, Binder, EB, Blackwood, DHR, Bryois, J, Buttenschon, HN, Bybjerg-Grauholm, J, Cai, N, Castelao, E, Christensen, JH, Clarke, T-K, Coleman, JR, Colodro-Conde, L, Couvy-Duchesne, B, Craddock, N, Crawford, GE, Davies, G, Deary, IJ, Degenhardt, F, Derks, EM, Direk, N, Dolan, C, Dunn, EC, Eley, TC, Escott-Price, V, Kiadeh, FFH, Finucane, HK, Forstner, AJ, Frank, J, Gaspar, HA, Gill, M, Goes, FS, Gordon, SD, Grove, J, Hansen, CS, Hansen, TF, Herms, S, Hickie, IB, Hoffmann, P, Homuth, G, Horn, C, Hottenga, J-J, Hougaard, DM, Ising, M, Jansen, R, Jones, I, Jones, LA, Jorgenson, E, Knowles, JA, Kohane, IS, Kraft, J, Kretzschmar, WW, Krogh, J, Kutalik, Z, Li, Y, Lind, PA, MacIntyre, DJ, MacKinnon, DF, Maier, RM, Maier, W, Marchini, J, Mbarek, H, Mcgrath, P, Mcguffin, P, Medland, SE, Mehta, D, Middeldorp, CM, Mihailov, E, Milaneschi, Y, Milani, L, Mondimore, FM, Montgomery, GW, Mostafavi, S, Mullins, N, Nauck, M, Ng, B, Nivard, MG, Nyholt, DR, Oskarsson, H, Owen, MJ, Painter, JN, Pedersen, CB, Pedersen, MG, Peterson, RE, Pettersson, E, Peyrot, WJ, Pistis, G, Posthuma, D, Quiroz, JA, Qvist, P, Rice, JP, Riley, BP, Rivera, M, Mirza, SS, Schoevers, R, Schulte, EC, Shen, L, Shyn, S, Sigurdsson, E, Sinnamon, GCB, Smit, JH, Smith, DJ, Stefansson, H, Steinberg, S, Streit, F, Strohmaier, J, Tansey, KE, Teismann, H, Teumer, A, Thompson, W, Thomson, PA, Thorgeirsson, TE, Traylor, M, Treutlein, J, Trubetskoy, V, Uitterlinden, AG, Umbricht, D, Van der Auwera, S, van Hemert, AM, Viktorin, A, Visscher, PM, Wang, Y, Webb, BT, Weinsheimer, SM, Wellmann, J, Willemsen, G, Witt, SH, Wu, Y, Xi, HS, Yang, J, Zhang, F, Arolt, V, Baune, BT, Berger, K, Boomsma, D, Cichon, S, Dannlowski, U, de Geus, EJC, DePaulo, JR, Domenici, E, Domschke, K, Esko, T, Grabe, HJ, Hamilton, SP, Hayward, C, Heath, AC, Kendler, KS, Kloiber, S, Lewis, G, Li, QS, Lucae, S, Madden, PAF, Magnusson, PK, Martin, NG, McIntosh, AM, Metspalu, A, Mors, O, Mortensen, PB, Mueller-Myhsok, B, Nordentoft, M, Noethen, MM, O'Donovan, MC, Paciga, SA, Pedersen, NL, Penninx, BWJH, Perlis, RH, Porteous, DJ, Potash, JB, Preisig, M, Rietschel, M, Schaefer, C, Schulze, TG, Smoller, JW, Stefansson, K, Tiemeier, H, Uher, R, Voelzke, H, Weissman, MM, Werge, T, Lewis, CM, Levinson, DF, Borglum, AD, Sullivan, PF, Meier, S, Strauss, J, Xu, W, Vincent, JB, Matthews, K, Ferreira, M, O'Dushlaine, C, Purcell, S, Raychaudhuri, S, Ruderfer, DM, Sklar, P, Scott, LJ, Flickinger, M, Burmeister, M, Li, J, Guan, W, Absher, D, Thompson, RC, Meng, FG, Schatzberg, AF, Bunney, WE, Barchas, JD, Watson, SJ, Myers, RM, Akil, H, Boehnke, M, Chambert, K, Moran, J, Scolnick, E, Djurovic, S, Melle, I, Morken, G, Corvin, A, Anjorin, A, Kandaswamy, R, Lawrence, J, McLean, AW, Pickard, BS, Bergen, SE, Nimgaonkar, V, Landen, M, Schalling, M, Osby, U, Backlund, L, Frisen, L, Langstrom, N, Stahl, E, Dobbyn, A, Jamain, S, Etain, B, Bellivier, F, Leber, M, Maaser, A, Fischer, SB, Reinbold, CS, Kittel-Schneider, S, Fullerton, JM, Oruc, L, Para, JG, Mayoral, F, Rivas, F, Czerski, PM, Kammerer-Ciernioch, J, Vedder, H, Borrmann-Hassenbach, M, Pfennig, A, Brennan, P, McKay, JD, Kogevinas, M, Schwarz, M, Schofield, PR, Muehleisen, TW, Schumacher, J, Bauer, M, Wright, A, Mitchell, PB, Hautzinger, M, Kelsoe, JR, Greenwood, TA, Nievergelt, CM, Shilling, PD, Smith, EN, Bloss, CS, Edenberg, HJ, Koller, DL, Gershon, ES, Liu, C, Badner, JA, Scheftner, WA, Lawson, WB, Nwulia, EA, Hipolito, M, Coryell, W, Rice, J, Byerley, W, McMahon, FJ, Lohoff, FW, Zandi, PP, Mahon, PB, McInnis, MG, Zollner, S, Zhang, P, Szelinger, S, St Clair, D, Caesar, S, Gordon-Smith, K, Fraser, C, Green, EK, Grozeva, D, Hamshere, ML, Kirov, G, Nikolov, I, Collier, DA, Elkin, A, Williamson, R, Young, AH, Ferrier, IN, Milanova, V, Alda, M, Cervantes, P, Cruceanu, C, Rouleau, GA, Turecki, G, Paciga, S, Winslow, AR, Grigoroiu-Serbanescu, M, Ophoff, R, Adolfsson, R, Adolfsson, AN, Del-Favero, J, Pato, C, Biernacka, JM, Frye, MA, Morris, D, Schork, NJ, Reif, A, Lissowska, J, Hauser, J, Szeszenia-Dabrowska, N, McGhee, K, Quinn, E, Moskvina, V, Holmans, PA, Farmer, A, Kennedy, JL, Andreassen, OA, Mattingsdal, M, Bass, NJ, Gurling, H, McQuillin, A, Breuer, R, Hultman, C, Lichtenstein, P, Huckins, LM, Leboyer, M, Lathrop, M, Nurnberger, J, Steffens, M, Foroud, TM, Berrettini, WH, Craig, DW, and Shi, J

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.

Published
2018

24. The association between lower educational attainment and depression owing to shared genetic effects? Results in ∼25 000 subjects: Results in ~25,000 subjects

Author

Peyrot, W. J., Lee, S. H., Milaneschi, Y., Abdellaoui, A., Byrne, E. M., Esko, T., de Geus, E. J. C., Hemani, G., Hottenga, J. J., Kloiber, S., Levinson, D. F., Lucae, S., Martin, N. G., Medland, S. E., Metspalu, A., Milani, L., Noethen, M. M., Potash, J. B., Rietschel, M., Rietveld, C. A., Ripke, S., Shi, J., Willemsen, G., Zhu, Z., Boomsma, D. I., Wray, N. R., Penninx, B. W. J. H., Lewis, C. M., Hamilton, S. P., Weissman, M. M., Breen, G., Blackwood, D. H., Cichon, S., Heath, A. C., Holsboer, F., Madden, Pamela A., McGuffin, P., Muglia, P., Pergadia, M. L., Lin, D., Müller-Myhsok, B., Steinberg, S., Grabe, H. J., Lichtenstein, P., Magnusson, P., Perlis, R. H., Preisig, M., Smoller, J. W., Stefansson, K., Uher, R., Kutalik, Z., Tansey, K. E., Teumer, A., Viktorin, A., Barnes, M. R., Bettecken, T., Binder, E. B., Breuer, R., Castro, V. M., Churchill, S. E., Coryell, W. H., Craddock, N., Craig, I. W., Czamara, D., Degenhardt, F., Farmer, A. E., Fava, M., Frank, J., Gainer, V. S., Gallagher, P. J., Gordon, S. D., Goryachev, S., Gross, M., Guipponi, M., Henders, A. K., Herms, S., Hickie, I. B., Hoefels, S., Hoogendijk, W., Iosifescu, D. V., Ising, M., Jones, I., Jones, L., Jung-Ying, T., Knowles, J. A., Kohane, I. S., Kohli, M. A., Korszun, A., Landen, M., Lawson, W. B., Lewis, G., Macintyre, D., Maier, W., Mattheisen, M., McGrath, P. J., McIntosh, A., McLean, A., Middeldorp, C. M., Middleton, L., Montgomery, G. M., Murphy, S. N., Nauck, M., Nolen, W. A., Nyholt, Dale R., O'Donovan, M., Oskarsson, H., Pedersen, N., Scheftner, W. A., Schulz, A., Schulze, T. G., Shyn, S. I., Sigurdsson, E., Slager, S. L., Smit, J. H., Stefansson, H., Steffens, M., Thorgeirsson, T., Tozzi, F., Treutlein, J., Uhr, M., van den Oord, E. J., van Grootheest, G., Völzke, H., Weilburg, J. B., Zitman, F. G., Neale, B., Daly, M., Sullivan, P. F., Agrawal, Arpana, Albrecht, Eva, Z Alizadeh, Behrooz, Allik, J. ri, Amin, Najaf, Attia, John R., Bandinelli, Stefania, Barnard, John, Bastardot, Franois, e Baumeister, Sebastian, Beauchamp, Jonathan, Benjamin, Daniel J., Benke, Kelly S., Bennett, David A., Berger, Klaus, Bielak, Lawrence F., Bierut, Laura J., Boatman, Jeffrey A., Boyle, Patricia A., Bültmann, Ute, Campbell, Harry, Cesarini, David, Chabris, Christopher F., Cherkas, Lynn, Chung, Mina K., Conley, Dalton, Cucca, Francesco, Davey-Smith, George, Davies, Gail, de Andrade, Mariza, de Jager, Philip L., de Leeuw, Christiaan, de Neve, Jan-Emmanuel, Deary, Ian J., Dedoussis, George V., Deloukas, Panos, Derringer, Jaime, Dimitriou, Maria, Eiriksdottir, Gudny, Eklund, Niina, Elderson, Martin F., Eriksson, Johan G., Evans, Daniel S., Evans, David M., Faul, Jessica D., Fehrmann, Rudolf, Ferrucci, Luigi, Fischer, Krista, Franke, Lude, Garcia, Melissa E., Gieger, Christian, Gjessing, Hkon K., Groenen, Patrick J. F., Grönberg, Henrik, Gudnason, Vilmundur, Hägg, Sara, Hall, Per, Harris, Jennifer R., Harris, Juliette M., Harris, Tamara B., Hastie, Nicholas D., Hayward, Caroline, Hernandez, Dena G., Hoffmann, Wolgang, Hofman, Adriaan, Hofman, Albert, Holle, Rolf, Holliday, Elizabeth G., Holzapfel, Christina, Iacono, William G., Ibrahim-Verbaas, Carla A., Illig, Thomas, Ingelsson, Erik, Jacobsson, Bo, Järvelin, Marjo-Riitta, Jhun, Min A., Johannesson, Magnus, Joshi, Peter K., Jugessur, Astanand, Kaakinen, Marika, Kähönen, Mika, Kanoni, Stavroula, Kaprio, Jaakkko, Kardia, Sharon L. R., Karjalainen, Juha, Kirkpatrick, Robert M., Koellinger, Philipp D., Kolcic, Ivana, Kowgier, Matthew, Kristiansson, Kati, Krueger, Robert F., Kutalik, Z. ltan, Lahti, Jari, Laibson, David, Latvala, Antti, Launer, Lenore J., Lawlor, Debbie A., Lethimäki, Terho, Li, Jingmei, Lichtenstein, Paul, Lichtner, Peter K., Liewald, David C., Lin, Peng, Lind, Penelope A., Liu, Yongmei, Lohman, Kurt, Loitfelder, Marisa, Magnusson, Patrick K. E., Mäkinen, Tomi E., Vidal, Pedro Marques, Martin, Nicolas W., Masala, Marco, McGue, Matt, McMahon, George, Meirelles, Osorio, Meyer, Michelle N., Mielck, Andreas, Miller, Michael B., Montgomery, Grant W., Mukherjee, Sutapa, Myhre, Ronny, Nuotio, Marja-Liisa, J Oldmeadow, Christopher, Oostra, Ben A., Palmer, Lyle J., Palotie, Aarno, Perola, Markus, Petrovic, Katja E., Peyser, Patricia A., Polašek, Ozren, Posthuma, Danielle, Preisig, Martin, Quaye, Lydia, Räikkönen, Katri, Raitakari, Olli T., Realo, Anu, Reinmaa, Eva, Rice, John P., Ring, Susan M., Ripatti, Samuli, Rivadeneira, Fernando, Rizzi, Thais S., Rudan, Igor, Rustichini, Aldo, Salomaa, Veikko, Sarin, Antti-Pekka, Schlessinger, David, Schmidt, Helena, Schmidt, Reinhold, Scott, Rodney J., Shakhbazov, Konstantin, Smith, Albert V., Smith, Jennifer A., Snieder, Harold, St Pourcain, Beate, Starr, John M., Sul, Jae Hoon, Surakka, Ida, Svento, Rauli, Tanaka, Toshiko, Terracciano, Antonio, Teumer, Alexander, Thurik, A. Roy, Tiemeier, Henning, Timpson, Nicholas J., Uitterlinden, André G., van der Loos, Matthijs J. H. M., van Duijn, Cornelia M., van Rooij, Frank J. A., van Wagoner, David R., Vartiainen, Erkki, Viikari, Jorma, Visscher, Peter M., Vitart, Veronique, Vollenweider, Peter K., Völzke, Henry, Vonk, Judith M., Waeber, G. rard, Weir, David R., Wellmann, J. rgen, Westra, Harm-Jan, Wichmann, H. Erich, Widen, Elisabeth, Wilson, James F., Wright, Alan F., Yang, Jian, Yu, Lei, Zhao, Wei, and Academic Medical Center

Subjects
Adult, Male, Psychiatric Status Rating Scales, Likelihood Functions, Genotype, Estonia/epidemiology, Netherlands/epidemiology, Depressive Disorder, Major/epidemiology, Middle Aged, Polymorphism, Single Nucleotide/genetics, Cohort Studies, Odds Ratio, Educational Status, Humans, Regression Analysis, Female, Gene-Environment Interaction, Genetic Association Studies, Aged
Abstract

An association between lower educational attainment (EA) and an increased risk for depression has been confirmed in various western countries. This study examines whether pleiotropic genetic effects contribute to this association. Therefore, data were analyzed from a total of 9662 major depressive disorder (MDD) cases and 14 949 controls (with no lifetime MDD diagnosis) from the Psychiatric Genomics Consortium with additional Dutch and Estonian data. The association of EA and MDD was assessed with logistic regression in 15 138 individuals indicating a significantly negative association in our sample with an odds ratio for MDD 0.78 (0.75-0.82) per standard deviation increase in EA. With data of 884 105 autosomal common single-nucleotide polymorphisms (SNPs), three methods were applied to test for pleiotropy between MDD and EA: (i) genetic profile risk scores (GPRS) derived from training data for EA (independent meta-analysis on ∼120 000 subjects) and MDD (using a 10-fold leave-one-out procedure in the current sample), (ii) bivariate genomic-relationship-matrix restricted maximum likelihood (GREML) and (iii) SNP effect concordance analysis (SECA). With these methods, we found (i) that the EA-GPRS did not predict MDD status, and MDD-GPRS did not predict EA, (ii) a weak negative genetic correlation with bivariate GREML analyses, but this correlation was not consistently significant, (iii) no evidence for concordance of MDD and EA SNP effects with SECA analysis. To conclude, our study confirms an association of lower EA and MDD risk, but this association was not because of measurable pleiotropic genetic effects, which suggests that environmental factors could be involved, for example, socioeconomic status.

Published
2015

25. Genome-wide association study of 40,000 individuals identifies two novel loci associated with bipolar disorder

Author

Hou, L, Bergen, SE, Akula, N, Song, J, Hultman, CM, Landén, M, Adli, M, Alda, M, Ardau, R, Arias, B, Aubry, JM, Backlund, L, Badner, JA, Barrett, TB, Bauer, M, Baune, BT, Bellivier, F, Benabarre, A, Bengesser, S, Berrettini, WH, Bhattacharjee, AK, Biernacka, JM, Birner, A, Bloss, CS, Brichant-Petitjean, C, Bui, ET, Byerley, W, Cervantes, P, Chillotti, C, Cichon, S, Colom, F, Coryell, W, Craig, DW, Cruceanu, C, Czerski, PM, Davis, T, Dayer, A, Degenhardt, F, Del Zompo, M, DePaulo, JR, Edenberg, HJ, Étain, B, Falkai, P, Foroud, T, Forstner, AJ, Frisén, L, Frye, MA, Fullerton, JM, Gard, S, Garnham, JS, Gershon, ES, Goes, FS, Greenwood, TA, Grigoroiu-Serbanescu, M, Hauser, J, Heilbronner, U, Heilmann-Heimbach, S, Herms, S, Hipolito, M, Hitturlingappa, S, Hoffmann, P, Hofmann, A, Jamain, S, Jiménez, E, Kahn, JP, Kassem, L, Kelsoe, JR, Kittel-Schneider, S, Kliwicki, S, Koller, DL, König, B, Lackner, N, Laje, G, Lang, M, Lavebratt, C, Lawson, WB, Leboyer, M, Leckband, SG, Liu, C, Maaser, A, Mahon, PB, Maier, W, Maj, M, Manchia, M, Martinsson, L, McCarthy, MJ, McElroy, SL, McInnis, MG, McKinney, R, Mitchell, PB, Mitjans, M, Mondimore, FM, Monteleone, P, Mühleisen, TW, Nievergelt, CM, Nöthen, MM, Novák, T, Nurnberger, JI, Nwulia, EA, Ösby, U, Hou, L, Bergen, SE, Akula, N, Song, J, Hultman, CM, Landén, M, Adli, M, Alda, M, Ardau, R, Arias, B, Aubry, JM, Backlund, L, Badner, JA, Barrett, TB, Bauer, M, Baune, BT, Bellivier, F, Benabarre, A, Bengesser, S, Berrettini, WH, Bhattacharjee, AK, Biernacka, JM, Birner, A, Bloss, CS, Brichant-Petitjean, C, Bui, ET, Byerley, W, Cervantes, P, Chillotti, C, Cichon, S, Colom, F, Coryell, W, Craig, DW, Cruceanu, C, Czerski, PM, Davis, T, Dayer, A, Degenhardt, F, Del Zompo, M, DePaulo, JR, Edenberg, HJ, Étain, B, Falkai, P, Foroud, T, Forstner, AJ, Frisén, L, Frye, MA, Fullerton, JM, Gard, S, Garnham, JS, Gershon, ES, Goes, FS, Greenwood, TA, Grigoroiu-Serbanescu, M, Hauser, J, Heilbronner, U, Heilmann-Heimbach, S, Herms, S, Hipolito, M, Hitturlingappa, S, Hoffmann, P, Hofmann, A, Jamain, S, Jiménez, E, Kahn, JP, Kassem, L, Kelsoe, JR, Kittel-Schneider, S, Kliwicki, S, Koller, DL, König, B, Lackner, N, Laje, G, Lang, M, Lavebratt, C, Lawson, WB, Leboyer, M, Leckband, SG, Liu, C, Maaser, A, Mahon, PB, Maier, W, Maj, M, Manchia, M, Martinsson, L, McCarthy, MJ, McElroy, SL, McInnis, MG, McKinney, R, Mitchell, PB, Mitjans, M, Mondimore, FM, Monteleone, P, Mühleisen, TW, Nievergelt, CM, Nöthen, MM, Novák, T, Nurnberger, JI, Nwulia, EA, and Ösby, U

Abstract

Bipolar disorder (BD) is a genetically complex mental illness characterized by severe oscillations of mood and behaviour. Genome-wide association studies (GWAS) have identified several risk loci that together account for a small portion of the heritability. To identify additional risk loci, we performed a two-stage meta-analysis of > 9 million genetic variants in 9,784 bipolar disorder patients and 30,471 controls, the largest GWAS of BD to date. In this study, to increase power we used ~2,000 lithium-treated cases with a long-term diagnosis of BD from the Consortium on Lithium Genetics, excess controls, and analytic methods optimized for markers on the X-chromosome. In addition to four known loci, results revealed genome-wide significant associations at two novel loci: an intergenic region on 9p21.3 (rs12553324, P= 5.87×10-9; odds ratio (OR)=1.12) and markers within ERBB2 (rs2517959, P= 4.53×10-9; OR=1.13). No significant X-chromosome associations were detected and Xlinked markers explained very little BD heritability. The results add to a growing list of common autosomal variants involved in BD and illustrate the power of comparing well-characterized cases to an excess of controls in GWAS.

Published
2016

26. Hippocampal subfield volumes in short- and long-term lithium-treated patients with bipolar I disorder

Author

Simonetti, A., Sani, Gabriele, Dacquino, C., Piras, F., De Rossi, P., Caltagirone, C., Coryell, W., Spalletta, G., Sani G. (ORCID:0000-0002-9767-8752), Simonetti, A., Sani, Gabriele, Dacquino, C., Piras, F., De Rossi, P., Caltagirone, C., Coryell, W., Spalletta, G., and Sani G. (ORCID:0000-0002-9767-8752)

Abstract

Objectives: Patients diagnosed with bipolar disorder (BP) may experience hippocampal atrophy. Lithium exposure has been associated with increased hippocampal volumes. However, its effects on hippocampal subfields remain to be clarified. Methods: We investigated the effects of short- and long-term lithium exposure on the hippocampus and its subfields in patients affected by bipolar I disorder (BP-I). Hippocampal subfields and total hippocampal volumes were measured in 60 subjects divided into four groups: 15 patients with BP-I who were never exposed to lithium [no-exposure group (NE)], 15 patients with BP-I exposed to lithium for < 24 months [short-exposure group (SE)], 15 patients with BP-I exposed to lithium for > 24 months [long-exposure group (LE)], and 15 healthy control subjects (HC). Results: The SE and NE groups showed smaller total hippocampal volumes and smaller bilateral cornu ammonis CA2-3, CA4-dentate gyrus (DG), presubiculum, and subiculum volumes compared with HC. The LE group showed larger total hippocampal volumes and bilateral CA2-3, left CA4-DG, left presubiculum, and right subiculum volumes compared with the NE group, and larger volumes of the right CA2-3, left CA4-DG, left presubiculum, and right subiculum compared with the SE group. No differences were found between the LE group and HC or between the SE and NE groups. Conclusions: Long-term, but not short-term, exposure to lithium treatment may exert neuroprotective effects on specific hippocampal subfields linked to disease progression.

Published
2016

27. Joint analysis of psychiatric disorders increases accuracy of risk prediction for schizophrenia, bipolar disorder, and major depressive disorder

Author

Maier, R., Moser, G., Chen, G.B., Ripke, S., Coryell, W., Potash, J.B., Scheftner, W.A., Shi, J., Weissman, M.M., Hultman, C.M., Landen, M., Levinson, D.F., Kendler, K.S., Smoller, J.W., Wray, N.R., Lee, S.H., Buitelaar, J.K., Franke, B., et al., Maier, R., Moser, G., Chen, G.B., Ripke, S., Coryell, W., Potash, J.B., Scheftner, W.A., Shi, J., Weissman, M.M., Hultman, C.M., Landen, M., Levinson, D.F., Kendler, K.S., Smoller, J.W., Wray, N.R., Lee, S.H., Buitelaar, J.K., Franke, B., and et al.

Abstract

Contains fulltext : 153241.pdf (publisher's version ) (Open Access), Genetic risk prediction has several potential applications in medical research and clinical practice and could be used, for example, to stratify a heterogeneous population of patients by their predicted genetic risk. However, for polygenic traits, such as psychiatric disorders, the accuracy of risk prediction is low. Here we use a multivariate linear mixed model and apply multi-trait genomic best linear unbiased prediction for genetic risk prediction. This method exploits correlations between disorders and simultaneously evaluates individual risk for each disorder. We show that the multivariate approach significantly increases the prediction accuracy for schizophrenia, bipolar disorder, and major depressive disorder in the discovery as well as in independent validation datasets. By grouping SNPs based on genome annotation and fitting multiple random effects, we show that the prediction accuracy could be further improved. The gain in prediction accuracy of the multivariate approach is equivalent to an increase in sample size of 34% for schizophrenia, 68% for bipolar disorder, and 76% for major depressive disorders using single trait models. Because our approach can be readily applied to any number of GWAS datasets of correlated traits, it is a flexible and powerful tool to maximize prediction accuracy. With current sample size, risk predictors are not useful in a clinical setting but already are a valuable research tool, for example in experimental designs comparing cases with high and low polygenic risk.

Published
2015

29. Identification of pathways for bipolar disorder: A meta-analysis

Author

Nurnberger, JI, Koller, DL, Jung, J, Edenberg, HJ, Foroud, T, Guella, I, Vawter, MP, Kelsoe, JR, Sklar, P, Ripke, S, Scott, LJ, Andreassen, OA, Cichon, S, Craddock, N, Rietschel, M, Blackwood, D, Corvin, A, Flickinger, M, Guan, W, Mattingsdal, M, McQuillin, A, Kwan, P, Wienker, TF, Daly, M, Dudbridge, F, Holmans, PA, Lin, D, Burmeister, M, Greenwood, TA, Hamshere, ML, Muglia, P, Smith, EN, Zandi, PP, Nievergelt, CM, McKinney, R, Shilling, PD, Schork, NJ, Bloss, CS, Gershon, ES, Liu, C, Badner, JA, Scheftner, WA, Lawson, WB, Nwulia, EA, Hipolito, M, Coryell, W, Rice, J, Byerley, W, McMahon, FJ, Schulze, TG, Berrettini, W, Lohoff, FW, Potash, JB, Mahon, PB, McInnis, MG, Zollner, S, Zhang, P, Craig, DW, Szelinger, S, Barrett, TB, Breuer, R, Meier, S, Strohmaier, J, Witt, SH, Tozzi, F, Farmer, A, McGuffin, P, Strauss, J, Xu, W, Kennedy, JL, Vincent, JB, Matthews, K, Day, R, Ferreira, MA, O'Dushlaine, C, Perlis, R, Raychaudhuri, S, Ruderfer, D, Lee, PH, Smoller, JW, Li, J, Absher, D, Bunney, WE, Barchas, JD, Schatzberg, AF, Jones, EG, Meng, F, Thompson, RC, Watson, SJ, Myers, RM, Akil, H, Boehnke, M, Chambert, K, Moran, J, Scolnick, EM, Djurovic, S, Melle, I, Morken, G, Gill, M, Morris, D, Nurnberger, JI, Koller, DL, Jung, J, Edenberg, HJ, Foroud, T, Guella, I, Vawter, MP, Kelsoe, JR, Sklar, P, Ripke, S, Scott, LJ, Andreassen, OA, Cichon, S, Craddock, N, Rietschel, M, Blackwood, D, Corvin, A, Flickinger, M, Guan, W, Mattingsdal, M, McQuillin, A, Kwan, P, Wienker, TF, Daly, M, Dudbridge, F, Holmans, PA, Lin, D, Burmeister, M, Greenwood, TA, Hamshere, ML, Muglia, P, Smith, EN, Zandi, PP, Nievergelt, CM, McKinney, R, Shilling, PD, Schork, NJ, Bloss, CS, Gershon, ES, Liu, C, Badner, JA, Scheftner, WA, Lawson, WB, Nwulia, EA, Hipolito, M, Coryell, W, Rice, J, Byerley, W, McMahon, FJ, Schulze, TG, Berrettini, W, Lohoff, FW, Potash, JB, Mahon, PB, McInnis, MG, Zollner, S, Zhang, P, Craig, DW, Szelinger, S, Barrett, TB, Breuer, R, Meier, S, Strohmaier, J, Witt, SH, Tozzi, F, Farmer, A, McGuffin, P, Strauss, J, Xu, W, Kennedy, JL, Vincent, JB, Matthews, K, Day, R, Ferreira, MA, O'Dushlaine, C, Perlis, R, Raychaudhuri, S, Ruderfer, D, Lee, PH, Smoller, JW, Li, J, Absher, D, Bunney, WE, Barchas, JD, Schatzberg, AF, Jones, EG, Meng, F, Thompson, RC, Watson, SJ, Myers, RM, Akil, H, Boehnke, M, Chambert, K, Moran, J, Scolnick, EM, Djurovic, S, Melle, I, Morken, G, Gill, M, and Morris, D

Abstract

IMPORTANCE Genome-wide investigations provide systematic information regarding the neurobiology of psychiatric disorders. OBJECTIVE To identify biological pathways that contribute to risk for bipolar disorder (BP) using genes with consistent evidence for association in multiple genome-wide association studies (GWAS). DATA SOURCES Four independent data sets with individual genome-wide data available in July 2011 along with all data sets contributed to the Psychiatric Genomics Consortium Bipolar Group by May 2012. A prior meta-analysis was used as a source for brain gene expression data. STUDY SELECTION The 4 published GWAS were included in the initial sample. All independent BP data sets providing genome-wide data in the Psychiatric Genomics Consortium were included as a replication sample. DATA EXTRACTION AND SYNTHESIS We identified 966 genes that contained 2 or more variants associated with BP at P < .05 in 3 of 4 GWAS data sets (n = 12 127 [5253 cases, 6874 controls]). Simulations using 10 000 replicates of these data sets corrected for gene size and allowed the calculation of an empirical P value for each gene; empirically significant genes were entered into a pathway analysis. Each of these pathways was then tested in the replication sample (n = 8396 [3507 cases, 4889 controls]) using gene set enrichment analysis for single-nucleotide polymorphisms. The 226 genes were also compared with results from ameta-analysis of gene expression in the dorsolateral prefrontal cortex. MAIN OUTCOMES AND MEASURES Empirically significant genes and biological pathways. RESULTS Among 966 genes, 226 were empirically significant (P < .05). Seventeen pathways were overrepresented in analyses of the initial data set. Six of the 17 pathways were associated with BP in both the initial and replication samples: corticotropin-releasing hormone signaling, cardiac β-adrenergic signaling, phospholipase C signaling, glutamate receptor signaling, endothelin 1 signaling, and cardiac hypertrophy

Published
2014

33. Enrichment of cis-regulatory gene expression SNPs and methylation quantitative trait loci among bipolar disorder susceptibility variants

Author

Gamazon, E R, primary, Badner, J A, additional, Cheng, L, additional, Zhang, C, additional, Zhang, D, additional, Cox, N J, additional, Gershon, E S, additional, Kelsoe, J R, additional, Greenwood, T A, additional, Nievergelt, C M, additional, Chen, C, additional, McKinney, R, additional, Shilling, P D, additional, Schork, N J, additional, Smith, E N, additional, Bloss, C S, additional, Nurnberger, J I, additional, Edenberg, H J, additional, Foroud, T, additional, Koller, D L, additional, Scheftner, W A, additional, Coryell, W, additional, Rice, J, additional, Lawson, W B, additional, Nwulia, E A, additional, Hipolito, M, additional, Byerley, W, additional, McMahon, F J, additional, Schulze, T G, additional, Berrettini, W H, additional, Potash, J B, additional, Zandi, P P, additional, Mahon, P B, additional, McInnis, M G, additional, Zöllner, S, additional, Zhang, P, additional, Craig, D W, additional, Szelinger, S, additional, Barrett, T B, additional, and Liu, C, additional

Published
2012
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36. Genome-wide association study of recurrent early-onset major depressive disorder

Author

Shi, J, primary, Potash, J B, additional, Knowles, J A, additional, Weissman, M M, additional, Coryell, W, additional, Scheftner, W A, additional, Lawson, W B, additional, DePaulo, J R, additional, Gejman, P V, additional, Sanders, A R, additional, Johnson, J K, additional, Adams, P, additional, Chaudhury, S, additional, Jancic, D, additional, Evgrafov, O, additional, Zvinyatskovskiy, A, additional, Ertman, N, additional, Gladis, M, additional, Neimanas, K, additional, Goodell, M, additional, Hale, N, additional, Ney, N, additional, Verma, R, additional, Mirel, D, additional, Holmans, P, additional, and Levinson, D F, additional

Published
2010
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37. Novel loci for major depression identified by genome-wide association study of Sequenced Treatment Alternatives to Relieve Depression and meta-analysis of three studies

Author

Shyn, S I, primary, Shi, J, additional, Kraft, J B, additional, Potash, J B, additional, Knowles, J A, additional, Weissman, M M, additional, Garriock, H A, additional, Yokoyama, J S, additional, McGrath, P J, additional, Peters, E J, additional, Scheftner, W A, additional, Coryell, W, additional, Lawson, W B, additional, Jancic, D, additional, Gejman, P V, additional, Sanders, A R, additional, Holmans, P, additional, Slager, S L, additional, Levinson, D F, additional, and Hamilton, S P, additional

Published
2009
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38. Singleton deletions throughout the genome increase risk of bipolar disorder

Author

Zhang, D, primary, Cheng, L, additional, Qian, Y, additional, Alliey-Rodriguez, N, additional, Kelsoe, J R, additional, Greenwood, T, additional, Nievergelt, C, additional, Barrett, T B, additional, McKinney, R, additional, Schork, N, additional, Smith, E N, additional, Bloss, C, additional, Nurnberger, J, additional, Edenberg, H J, additional, Foroud, T, additional, Sheftner, W, additional, Lawson, W B, additional, Nwulia, E A, additional, Hipolito, M, additional, Coryell, W, additional, Rice, J, additional, Byerley, W, additional, McMahon, F, additional, Schulze, T G, additional, Berrettini, W, additional, Potash, J B, additional, Belmonte, P L, additional, Zandi, P P, additional, McInnis, M G, additional, Zöllner, S, additional, Craig, D, additional, Szelinger, S, additional, Koller, D, additional, Christian, S L, additional, Liu, C, additional, and Gershon, E S, additional

Published
2008
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40. Confirmatory test of two factors and four subtypes of bipolar disorder based on lifetime psychiatric co-morbidity.

Author

Monahan, P. O., Stump, T., Coryell, W. H., Harezlak, J., Marcoulides, G. A., Liu, H., Steeger, C. M., Mitchell, P. B., Wilcox, H. C., Hulvershorn, L. A., Glowinski, A. L., Iyer-Eimerbrink, P. A., McInnis, M., and Nurnberger, J. I.

Subjects
HYPOTHESIS, CHI-squared test, FACTOR analysis, FISHER exact test, INTERVIEWING, LONGITUDINAL method, BIPOLAR disorder, RESEARCH methodology, MEDICAL records, PROBABILITY theory, PSYCHOSES, REGRESSION analysis, STATISTICS, COMORBIDITY, SAMPLE size (Statistics), DATA analysis, FAMILY history (Medicine), DATA analysis software
Abstract

BackgroundThe first aim was to use confirmatory factor analysis (CFA) to test a hypothesis that two factors (internalizing and externalizing) account for lifetime co-morbid DSM-IV diagnoses among adults with bipolar I (BPI) disorder. The second aim was to use confirmatory latent class analysis (CLCA) to test the hypothesis that four clinical subtypes are detectible: pure BPI; BPI plus internalizing disorders only; BPI plus externalizing disorders only; and BPI plus internalizing and externalizing disorders.MethodA cohort of 699 multiplex BPI families was studied, ascertained and assessed (1998–2003) by the National Institute of Mental Health Genetics Initiative Bipolar Consortium: 1156 with BPI disorder (504 adult probands; 594 first-degree relatives; and 58 more distant relatives) and 563 first-degree relatives without BPI. Best-estimate consensus DSM-IV diagnoses were based on structured interviews, family history and medical records. MPLUS software was used for CFA and CLCA.ResultsThe two-factor CFA model fit the data very well, and could not be improved by adding or removing paths. The four-class CLCA model fit better than exploratory LCA models or post-hoc-modified CLCA models. The two factors and four classes were associated with distinctive clinical course and severity variables, adjusted for proband gender. Co-morbidity, especially more than one internalizing and/or externalizing disorder, was associated with a more severe and complicated course of illness. The four classes demonstrated significant familial aggregation, adjusted for gender and age of relatives.ConclusionsThe BPI two-factor and four-cluster hypotheses demonstrated substantial confirmatory support. These models may be useful for subtyping BPI disorders, predicting course of illness and refining the phenotype in genetic studies. [ABSTRACT FROM PUBLISHER]

Published
2015
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48. Mood-incongruent psychotic features in bipolar disorder: familial aggregation and suggestive linkage to 2p11-q14 and 13q21-33.

Author

Goes FS, Zandi PP, Miao K, McMahon FJ, Steele J, Willour VL, MacKinnon DF, Mondimore FM, Schweizer B, Nurnberger JI Jr., Rice JP, Scheftner W, Coryell W, Berrettini WH, Kelsoe JR, Byerley W, Murphy DL, Gershon ES, DePaulo JR Jr., and McInnis MG

Abstract

Objective: Mood-incongruent psychotic features in bipolar disorder may signify a more severe form of the illness and might represent phenotypic manifestations of susceptibility genes shared with schizophrenia. This study attempts to characterize clinical correlates, familial aggregation, and genetic linkage in subjects with these features.Method: Subjects were drawn from The National Institute of Mental Health (NIMH) Genetics Initiative Bipolar Disorder Collaborative cohort, consisting of 708 families recruited at 10 academic medical centers. Subjects with mood-incongruent and mood-congruent psychotic features were compared on clinical variables. Familial aggregation was tested using a proband-predictive model and generalized estimating equations. A genome-wide linkage scan incorporating a mood-incongruence covariate was performed.Results: Mood-incongruent psychotic features were associated with an increased rate of hospitalization and attempted suicide. A proband with mood-incongruence predicted mood-incongruence in relatives with bipolar I disorder when compared with all other subjects and when compared with subjects with mood-congruent psychosis. The presence of mood-incongruent psychotic features increased evidence for linkage on chromosomes 13q21-33 and 2p11-q14. These logarithm of the odds ratio (LOD) scores and their increase from baseline met empirical genome-wide suggestive criteria for significance.Conclusions: Mood-incongruent psychotic features showed evidence of a more severe course, familial aggregation, and suggestive linkage to two chromosomal regions previously implicated in major mental illness susceptibility. The 13q21-33 finding supports prior evidence of bipolar disorder/schizophrenia overlap in this region, while the 2p11-q14 finding is, to the authors' knowledge, the first to suggest that this schizophrenia linkage region might also harbor a bipolar disorder susceptibility gene. [ABSTRACT FROM AUTHOR]

Published
2007
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