Cognitive endophenotypes inform genome-wide expression profiling in schizophrenia

Neuropsychology

Volumn 30, Issue 1, 2016, Pages 40-52

  Zheutlin, Amanda B ^a   Viehman, Rachael W ^b   Fortgang, Rebecca ^a   Borg, Jacqueline ^c   Smith, Desmond J ^d   Suvisaari, Jaana ^e   Therman, Sebastian ^e   Hultman, Christina M ^c   Cannon, Tyrone D ^a  

^a YALE UNIVERSITY   (United States)

^b UNIVERSITY OF CALIFORNIA   (United States)

^c KAROLINSKA INSTITUTE   (Sweden)

^d UNIVERSITY OF CALIFORNIA   (United States)

^e NATIONAL PUBLIC HEALTH INSTITUTE   (Finland)

Author keywords

Cognition; Endophenotype; Gene expression; Genome wide association study; Schizophrenia

Indexed keywords

NEUROLEPTIC AGENT; RNA;

ADULT; ARTICLE; BIOLOGICAL FUNCTIONS; BIPOLAR DISORDER; CALIFORNIA VERBAL LEARNING TEST; CELL ASSAY; COGNITIVE DEFECT; CONTROLLED STUDY; DIAGNOSTIC TEST; DNA REPLICATION; EFFECT SIZE; ENDOPHENOTYPE; FEMALE; GENE EXPRESSION; GENE IDENTIFICATION; GENE MUTATION; GENETIC ASSOCIATION; GENETIC RISK; GENETIC SCREENING; GENETIC TRANSCRIPTION; GENETIC VARIABILITY; HERITABILITY; HUMAN; HUMAN GENOME; INHERITANCE; MAJOR CLINICAL STUDY; MALE; MENTAL PERFORMANCE; MENTAL TEST; PERIPHERAL BLOOD MONONUCLEAR CELL; PRIORITY JOURNAL; RNA PROCESSING; SCHIZOPHRENIA; TWINS; AGED; COGNITION; FINLAND; GENE EXPRESSION PROFILING; GENE EXPRESSION REGULATION; GENETICS; GENOME-WIDE ASSOCIATION STUDY; MEMORY; MICROARRAY ANALYSIS; MIDDLE AGED; MONONUCLEAR CELL; PSYCHOLOGY; REGISTER; SWEDEN;

ADULT; AGED; BIPOLAR DISORDER; COGNITION; COGNITION DISORDERS; ENDOPHENOTYPES; FEMALE; FINLAND; GENE EXPRESSION PROFILING; GENE EXPRESSION REGULATION; GENOME-WIDE ASSOCIATION STUDY; HUMANS; LEUKOCYTES, MONONUCLEAR; MALE; MEMORY; MICROARRAY ANALYSIS; MIDDLE AGED; REGISTRIES; RNA; SCHIZOPHRENIA; SCHIZOPHRENIC PSYCHOLOGY; SWEDEN; TWINS;

EID: 84952837226     PISSN: 08944105     EISSN: 19311559     Source Type: Journal    
DOI: 10.1037/neu0000244     Document Type: Article

References (72)

1. Ahmed, A. O., Mantini, A. M., Fridberg, D. J., & Buckley, P. F. (2015). Brain-derived neurotrophic factor (BDNF) and neurocognitive deficits in people with schizophrenia: A meta-analysis. Psychiatry Research, 226, 1-13. http://dx.doi.org/10.1016/j.psychres.2014.12.069
2. Akaike, H. (1974). New look at statistical-model identification. IEEE Transactions on Automatic Control, 19, 716-723. http://dx.doi.org/10.1109/Tac.1974.1100705.
3. American Psychiatric Association. (1994). Diagnostic and statistical manual of mental disorders (4th ed.; DSM-IV). Washington, DC: Author.
4. Bates, D., Maechler, M., Bolker, B., & Walker, S. (2014). lme4: Linear mixed-effects models using Eigen and S4. Retrieved from http://CRAN.R-project.org/package=lme4
5. Camchong, J., Lim, K. O., Sponheim, S. R., & Macdonald, A. W. (2009). Frontal white matter integrity as an endophenotype for schizophrenia: Diffusion tensor imaging in monozygotic twins and patients' nonpsychotic relatives. Frontiers in Human Neuroscience, 3, 35. http://dx.doi.org/10.3389/neuro.09.035.2009.
6. Cannon, T. D., Huttunen, M. O., Lonnqvist, J., Tuulio-Henriksson, A., Pirkola, T., Glahn, D., Koskenvuo, M. (2000). The inheritance of neuropsychological dysfunction in twins discordant for schizophrenia. American Journal of Human Genetics, 67, 369-382. http://dx.doi.org/10.1086/303006
7. Cannon, T. D., Kaprio, J., Lönnqvist, J., Huttunen, M., & Koskenvuo, M. (1998). The genetic epidemiology of schizophrenia in a Finnish twin cohort. A population-based modeling study. Archives of General Psychiatry, 55, 67-74. http://www.ncbi.nlm.nih.gov/pubmed/9435762.http://dx.doi.org/10.1001/archpsyc.55.1.67.
8. Cannon, T. D., & Keller, M. C. (2006). Endophenotypes in the genetic analyses of mental disorders. Annual Review of Clinical Psychology, 2, 267-290. http://dx.doi.org/10.1146/annurev.clinpsy.2.022305.095232
9. Carmelli, D., Swan, G. E., DeCarli, C., & Reed, T. (2002). Quantitative genetic modeling of regional brain volumes and cognitive performance in older male twins. Biological Psychology, 61, 139-155. http://www.ncbi.nlm.nih.gov/pubmed/12385673.http://dx.doi.org/10.1016/S0301-0511(02)00056-X.
10. Cattane, N., Minelli, A., Milanesi, E., Maj, C., Bignotti, S., Bortolomasi, M., Gennarelli, M. (2015). Altered gene expression in schizophrenia: Findings from transcriptional signatures in fibroblasts and blood. PLoS ONE, 10, e0116686.
11. Cheung, V. G., Conlin, L. K., Weber, T. M., Arcaro, M., Jen, K. Y., Morley, M., & Spielman, R. S. (2003). Natural variation in human gene expression assessed in lymphoblastoid cells. Nature Genetics, 33, 422-425. http://dx.doi.org/10.1038/ng1094
12. Dimitrov, D. H., Lee, S., Yantis, J., Valdez, C., Paredes, R. M., Braida, N., Walss-Bass, C. (2013). Differential correlations between inflammatory cytokines and psychopathology in veterans with schizophrenia: Potential role for IL-17 pathway. Schizophrenia Research, 151, 29-35. http://dx.doi.org/10.1016/j.schres.2013.10.019
13. Dunning, M., Lynch, A., & Eldridge, M. (n.d.). illuminaHumanv4.db: Illumina HumanHT12v4 annotation data (chip illuminaHumanv4). Retrieved from http://www.bioconductor.org/packages/release/data/annotation/html/illuminaHumanv4.db.html
14. Faul, F., Erdfelder, E., Lang, A. G., & Buchner, A. (2007). G*Power 3: A flexible statistical power analysis program for the social, behavioral, and biomedical sciences. Behavior Research Methods, 39, 175-191. http://www.ncbi.nlm.nih.gov/pubmed/17695343.http://dx.doi.org/10.3758/BF03193146.
15. Fineberg, A. M., & Ellman, L. M. (2013). Inflammatory cytokines and neurological and neurocognitive alterations in the course of schizophrenia. Biological Psychiatry, 73, 951-966. http://dx.doi.org/10.1016/j.biopsych.2013.01.001.
16. Fromer, M., Pocklington, A. J., Kavanagh, D. H., Williams, H. J., Dwyer, S., Gormley, P., O'Donovan, M. C. (2014). De novo mutations in schizophrenia implicate synaptic networks. Nature, 506, 179-184. http://dx.doi.org/10.1038/nature12929
17. Gardiner, E. J., Cairns, M. J., Liu, B., Beveridge, N. J., Carr, V., Kelly, B., Tooney, P. A. (2013). Gene expression analysis reveals schizophrenia-associated dysregulation of immune pathways in peripheral blood mononuclear cells. Journal of Psychiatric Research, 47, 425-437. http://dx.doi.org/10.1016/j.jpsychires.2012.11.007
18. Glahn, D. C., Almasy, L., Blangero, J., Burk, G. M., Estrada, J., Peralta, J. M., Escamilla, M. A. (2007). Adjudicating neurocognitive endophenotypes for schizophrenia. American Journal of Medical Genetics. Part B: Neuropsychiatric Genetics, 144, 242-249. http://dx.doi.org/10.1002/ajmg.b.30446.
19. Greenwood, T. A., Braff, D. L., Light, G. A., Cadenhead, K. S., Calkins, M. E., Dobie, D. J., Schork, N. J. (2007). Initial heritability analyses of endophenotypic measures for schizophrenia: The consortium on the genetics of schizophrenia. Archives of General Psychiatry, 64, 1242-1250. http://dx.doi.org/10.1001/archpsyc.64.11.1242
20. Greenwood, T. A., Light, G. A., Swerdlow, N. R., Radant, A. D., & Braff, D. L. (2012). Association analysis of 94 candidate genes and schizophrenia-related endophenotypes. Plos One, 7. http://dx.doi.org/10.1371/journal.pone.0029630.
21. Greenwood, T. A., Swerdlow, N. R., Gur, R. E., Cadenhead, K. S., Calkins, M. E., Dobie, D. J., Braff, D. L. (2013). Genome-wide linkage analyses of 12 endophenotypes for schizophrenia from the Consortium on the Genetics of Schizophrenia. American Journal of Psychiatry, 170, 521-532. http://dx.doi.org/10.1176/appi.ajp.2012.12020186
22. Guillozet-Bongaarts, A. L., Hyde, T. M., Dalley, R. A., Hawrylycz, M. J., Henry, A., Hof, P. R., Kleinman, J. E. (2014). Altered gene expression in the dorsolateral prefrontal cortex of individuals with schizophrenia. Molecular Psychiatry, 19, 478-485. http://dx.doi.org/10.1038/mp.2013.30.
23. Gulsuner, S., Walsh, T., Watts, A. C., Lee, M. K., Thornton, A. M., Casadei, S., Consortium on the Genetics of Schizophrenia (COGS), & PAARTNERS Study Group. (2013). Spatial and temporal mapping of de novo mutations in schizophrenia to a fetal prefrontal cortical network. Cell, 154, 518-529. http://dx.doi.org/10.1016/j.cell.2013.06.049
24. Halekoh, U., & Hojsgaard, S. (2014). A Kenward-Roger approximation and parametic bootstrap methods for tests in linear mixed models-The R package pbkrtest. Journal of Statistical Software, 59, 1-30. http://www.jstatsoft.org/v59/i09/.http://dx.doi.org/10.18637/jss.v059.i09.
25. Haut, K., Karlsgodt, K. H., Bilder, R. M., Congdon, E., Freimer, N., London, E. D., Cannon, T. D. (2015). Phenomics of memory dysfunction in schizophrenia, bipolar disorder and ADHD. Manuscript in preparation.
26. Heck, A., Fastenrath, M., Ackermann, S., Auschra, B., Bickel, H., Coynel, D., Papassotiropoulos, A. (2014). Converging genetic and functional brain imaging evidence links neuronal excitability to working memory, psychiatric disease, and brain activity. Neuron, 81, 1203-1213. http://dx.doi.org/10.1016/j.neuron.2014.01.010
27. Hertzberg, L., Katsel, P., Roussos, P., Haroutunian, V., & Domany, E. (2015). Integration of gene expression and GWAS results supports involvement of calcium signaling in schizophrenia [Advance online publication]. Schizophrenia Research, 164, 92-99. http://dx.doi.org/10.1016/j.schres.2015.02.001.
28. Higier, R. G., Jimenez, A. M., Hultman, C. M., Borg, J., Roman, C., Kizling, I., Cannon, T. D. (2014). Enhanced neurocognitive functioning and positive temperament in twins discordant for bipolar disorder. American Journal of Psychiatry, 171, 1191-1198. http://dx.doi.org/10.1176/appi.ajp.2014.13121683
29. Huang, W., Sherman, B. T., & Lempicki, R. A. (2009). Systematic and integrative analysis of large gene lists using DAVID bioinformatics resources. Nature Protocols, 4, 44-57. http://dx.doi.org/10.1038/nprot.2008.211.
30. Ibrahim-Verbaas, C. A., Bressler, J., Debette, S., Schuur, M., Smith, A. V., Bis, J. C., Generation Scotland. (2015). GWAS for executive function and processing speed suggests involvement of the CADM2 gene. Molecular Psychiatry. Advance online publication.
31. Jia, P., Sun, J., Guo, A. Y., & Zhao, Z. (2010). SZGR: A comprehensive schizophrenia gene resource. Molecular Psychiatry, 15, 453-462. http://dx.doi.org/10.1038/mp.2009.93
32. Karlsgodt, K. H., Robleto, K., Trantham-Davidson, H., Jairl, C., Cannon, T. D., Lavin, A., & Jentsch, J. D. (2011). Reduced dysbindin expression mediates N-methyl-D-aspartate receptor hypofunction and impaired working memory performance. Biological Psychiatry, 69, 28-34. http://dx.doi.org/10.1016/j.biopsych.2010.09.012
33. Kauppi, K., Westlye, L. T., Tesli, M., Bettella, F., Brandt, C. L., Mattingsdal, M., Andreassen, O. A. (2015). Polygenic risk for schizophrenia associated with working memory-related prefrontal brain activation in patients with schizophrenia and healthy controls. Schizophrenia Bulletin, 41, 736-743. http://dx.doi.org/10.1093/schbul/sbu152
34. Kim, Y., Xia, K., Tao, R., Giusti-Rodriguez, P., Vladimirov, V., van den Oord, E., & Sullivan, P. F. (2014). A meta-analysis of gene expression quantitative trait loci in brain. Translational Psychiatry, 4, e459. http://dx.doi.org/10.1038/tp.2014.96
35. Kline, R. B. (2011). Principles and practice of structural equation modeling (3rd ed.). New York: Guilford Press.
36. Kremen, W. S., Panizzon, M. S., Franz, C. E., Spoon, K. M., Vuoksimaa, E., Jacobson, K. C., Lyons, M. J. (2014). Genetic complexity of episodic memory: A twin approach to studies of aging. Psychology and Aging, 29, 404-417. http://dx.doi.org/10.1037/a0035962
37. Lencz, T., Knowles, E., Davies, G., Guha, S., Liewald, D. C., Starr, J. M., Malhotra, A. K. (2014). Molecular genetic evidence for overlap between general cognitive ability and risk for schizophrenia: A report from the Cognitive Genomics consorTium (COGENT). Molecular Psychiatry, 19, 168-174.
38. Lichtenstein, P., De Faire, U., Floderus, B., Svartengren, M., Svedberg, P., & Pedersen, N. L. (2002). The Swedish Twin Registry: A unique resource for clinical, epidemiological and genetic studies. Journal of Internal Medicine, 252, 184-205. http://www.ncbi.nlm.nih.gov/pubmed/12270000.http://dx.doi.org/10.1046/j.1365-2796.2002.01032.x.
39. Lichtenstein, P., Yip, B. H., Björk, C., Pawitan, Y., Cannon, T. D., Sullivan, P. F., & Hultman, C. M. (2009). Common genetic determinants of schizophrenia and bipolar disorder in Swedish families: A populationbased study. Lancet, 373, 234-239. http://dx.doi.org/10.1016/S0140-6736(09)60072-6.
40. Luo, X. J., Mattheisen, M., Li, M., Huang, L., Rietschel, M., Børglum, A. D., iPSYCH-GEMS SCZ working group, & MooDS SCZ Consortium. (2015). Systematic integration of brain eQTL and GWAS identifies ZNF323 as a novel schizophrenia risk gene and suggests recent positive selection based on compensatory advantage on pulmonary function. Schizophrenia Bulletin. Advance online publication.
41. Maurano, M. T., Humbert, R., Rynes, E., Thurman, R. E., Haugen, E., Wang, H., Stamatoyannopoulos, J. A. (2012). Systematic localization of common disease-associated variation in regulatory DNA. Science, 337, 1190-1195. http://dx.doi.org/10.1126/science.1222794
42. Meyer, U., Feldon, J., & Dammann, O. (2011). Schizophrenia and autism: Both shared and disorder-specific pathogenesis via perinatal inflammation? Pediatric Research, 69 (5, Pt. 2), 26R-33R. http://dx.doi.org/10.1203/PDR.0b013e318212c196.
43. Miller, B. J., Culpepper, N., Rapaport, M. H., & Buckley, P. (2013). Prenatal inflammation and neurodevelopment in schizophrenia: A review of human studies. Progress in Neuro-Psychopharmacology & Biological Psychiatry, 42, 92-100. http://dx.doi.org/10.1016/j.pnpbp.2012.03.010.
44. Na, K. S., Jung, H. Y., & Kim, Y. K. (2014). The role of pro-inflammatory cytokines in the neuroinflammation and neurogenesis of schizophrenia. Progress in Neuro-Psychopharmacology & Biological Psychiatry, 48, 277-286. http://dx.doi.org/10.1016/j.pnpbp.2012.10.022
45. Neale, M., Boker, S., Xie, G., & Maes, H. (2003). Mx: Statistical modeling. Richmond, VA: Virginia Commonwealth University, Institute for Psychiatric and Behavior Genetics, Department of Psychiatry.
46. Ng, M. Y., Levinson, D. F., Faraone, S. V., Suarez, B. K., DeLisi, L. E., Arinami, T., Lewis, C. M. (2009). Meta-analysis of 32 genome-wide linkage studies of schizophrenia. Molecular Psychiatry, 14, 774-785. http://dx.doi.org/10.1038/mp.2008.135
47. Nicodemus, K. K., Hargreaves, A., Morris, D., Anney, R., Gill, M., Corvin, A., Schizophrenia Psychiatric Genome-Wide Association Study (GWAS) Consortium, & Wellcome Trust Case Control Consortium 2. (2014). Variability in working memory performance explained by epistasis vs polygenic scores in the ZNF804A pathway. Journal of the American Medical Association Psychiatry, 71, 778-785. http://dx.doi.org/10.1001/jamapsychiatry.2014.528.
48. Orešic, M., Seppänen-Laakso, T., Sun, D., Tang, J., Therman, S., Viehman, R., Cannon, T. D. (2012). Phospholipids and insulin resistance in psychosis: A lipidomics study of twin pairs discordant for schizophrenia. Genome Medicine, 4, 1. http://dx.doi.org/10.1186/gm300
49. O'Roak, B. J., Vives, L., Girirajan, S., Karakoc, E., Krumm, N., Coe, B. P., Eichler, E. E. (2012). Sporadic autism exomes reveal a highly interconnected protein network of de novo mutations. Nature, 485, 246-250. http://dx.doi.org/10.1038/nature10989
50. Pandey, G. N., Ren, X., Rizavi, H. S., & Zhang, H. (2015). Proinflammatory cytokines and their membrane-bound receptors are altered in the lymphocytes of schizophrenia patients. Schizophrenia Research, 164, 193-198. http://dx.doi.org/10.1016/j.schres.2015.02.004
51. Panizzon, M. S., Lyons, M. J., Jacobson, K. C., Franz, C. E., Grant, M. D., Eisen, S. A., Kremen, W. S. (2011). Genetic architecture of learning and delayed recall: A twin study of episodic memory. Neuropsychology, 25, 488-498. http://dx.doi.org/10.1037/a0022569
52. Papassotiropoulos, A., & de Quervain, D. J. (2011). Genetics of human episodic memory: Dealing with complexity. Trends in Cognitive Sciences, 15, 381-387. http://dx.doi.org/10.1016/j.tics.2011.07.005
53. Pinheiro, J., Bates, D., DebRoy, S., Sarkar, D., & Team, R. C. (2015). nlme: Linear and nonlinear mixed effects models. Retrieved from http://CRAN.R-project.org/package=nlme
54. Plomin, R., DeFries, J. C., Knopik, V., & Neiderhiser, J. (2013). Behavioral genetics (6th ed.). New York: Worth.
55. Psychiatric GWAS Consortium Bipolar Disorder Working Group. (2011). Large-scale genome-wide association analysis of bipolar disorder identifies a new susceptibility locus near ODZ4. Nature Genetics, 43, 977-983. http://dx.doi.org/10.1038/ng.943
56. Purcell, S. M., Moran, J. L., Fromer, M., Ruderfer, D., Solovieff, N., Roussos, P., Sklar, P. (2014). A polygenic burden of rare disruptive mutations in schizophrenia. Nature, 506, 185-190. http://dx.doi.org/10.1038/nature12975.
57. Purcell, S. M., Wray, N. R., Stone, J. L., Visscher, P. M., O'Donovan, M. C., Sullivan, P. F., the International Schizophrenia Consortium. (2009). Common polygenic variation contributes to risk of schizophrenia and bipolar disorder. Nature, 460, 748-752.
58. Ripke, S., Neale, B. M., Corvin, A., Walters, J. T. R., Farh, K.-H., Holmans, P. A., Schizophrenia Working Group of the Psychiatric Genomics Consortium. (2014). Biological insights from 108 schizophrenia-associated genetic loci. Nature, 511, 421-427. http://dx.doi.org/10.1038/nature13595.
59. Ripke, S., O'Dushlaine, C., Chambert, K., Moran, J. L., Kähler, A. K., Akterin, S., Multicenter Genetic Studies of Schizophrenia Consortium, Psychosis Endophenotypes International Consortium, & Wellcome Trust Case Control Consortium 2. (2013). Genome-wide association analysis identifies 13 new risk loci for schizophrenia. Nature Genetics, 45, 1150-1159.
60. Safran, M., Solomon, I., Shmueli, O., Lapidot, M., Shen-Orr, S., Adato, A., Lancet, D. (2002). GeneCards 2002: Towards a complete, objectoriented, human gene compendium. Bioinformatics, 18, 1542-1543. Retrieved from http://www.ncbi.nlm.nih.gov/pubmed/12424129
61. Schaefer, J., Giangrande, E., Weinberger, D. R., & Dickinson, D. (2013). The global cognitive impairment in schizophrenia: Consistent over decades and around the world. Schizophrenia Research, 150, 42-50. http://dx.doi.org/10.1016/j.schres.2013.07.009
62. Song, X., Fan, X., Li, X., Zhang, W., Gao, J., Zhao, J., Lv, L. (2014). Changes in pro-inflammatory cytokines and body weight during 6-month risperidone treatment in drug naïve, first-episode schizophrenia. Psychopharmacology, 231, 319-325. http://dx.doi.org/10.1007/s00213-013-3382-4
63. Spitzer, R. L., Williams, J. B., Gibbon, M., & First, M. B. (1992). The Structured Clinical Interview for DSM-III-R (SCID): I. History, rationale, and description. Archives of General Psychiatry, 49, 624-629. http://www.ncbi.nlm.nih.gov/pubmed/1637252.http://dx.doi.org/10.1001/archpsyc.1992.01820080032005.
64. Sprooten, E., Sussmann, J. E., Clugston, A., Peel, A., McKirdy, J., Moorhead, T. W., McIntosh, A. M. (2011). White matter integrity in individuals at high genetic risk of bipolar disorder. Biological Psychiatry, 70, 350-356. http://dx.doi.org/10.1016/j.biopsych.2011.01.021
65. Stone, W. S., Giuliano, A. J., Tsuang, M. T., Braff, D. L., Cadenhead, K. S., Calkins, M. E., Seidman, L. J. (2011). Group and site differences on the California Verbal Learning Test in persons with schizophrenia and their first-degree relatives: Findings from the Consortium on the Genetics of Schizophrenia (COGS). Schizophrenia Research, 128, 102-110. http://dx.doi.org/10.1016/j.schres.2011.01.005
66. Stone, W. S., Mesholam-Gately, R. I., Braff, D. L., Calkins, M. E., Freedman, R., Green, M. F., Seidman, L. J. (2015). California Verbal Learning Test-II performance in schizophrenia as a function of ascertainment strategy: Comparing the first and second phases of the Consortium on the Genetics of Schizophrenia (COGS). Schizophrenia Research, 163, 32-37. http://dx.doi.org/10.1016/j.schres.2014.10.029
67. Tan, H. Y., Callicott, J. H., & Weinberger, D. R. (2008). Intermediate phenotypes in schizophrenia genetics redux: Is it a no brainer? Molecular Psychiatry, 13, 233-238. http://dx.doi.org/10.1038/sj.mp.4002145
68. Toulopoulou, T., Picchioni, M., Rijsdijk, F., Hua-Hall, M., Ettinger, U., Sham, P., & Murray, R. (2007). Substantial genetic overlap between neurocognition and schizophrenia: Genetic modeling in twin samples. Archives of General Psychiatry, 64, 1348-1355. http://dx.doi.org/10.1001/archpsyc.64.12.1348.
69. van Eijk, K. R., de Jong, S., Strengman, E., Buizer-Voskamp, J. E., Kahn, R. S., Boks, M. P., Ophoff, R. A. (2014). Identification of schizophrenia-associated loci by combining DNA methylation and gene expression data from whole blood. European Journal of Human Genetics. Advance online publication.
70. van Erp, T. G., Therman, S., Pirkola, T., Tuulio-Henriksson, A., Glahn, D. C., Bachman, P., Cannon, T. D. (2008). Verbal recall and recognition in twins discordant for schizophrenia. Psychiatry Research, 159, 271-280. http://dx.doi.org/10.1016/j.psychres.2007.03.003
71. Walton, E., Turner, J., Gollub, R. L., Manoach, D. S., Yendiki, A., Ho, B. C., Ehrlich, S. (2013). Cumulative genetic risk and prefrontal activity in patients with schizophrenia. Schizophrenia Bulletin, 39, 703-711. http://dx.doi.org/10.1093/schbul/sbr190
72. Wang, Q., Yang, C., Gelernter, J., & Zhao, H. (2015). Pervasive pleiotropy between psychiatric disorders and immune disorders revealed by integrative analysis of multiple GWAS. Human Genetics. Advance online publication.