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Powell SK, O'Shea CP, Shannon SR, Akbarian S, Brennand KJ. Investigation of Schizophrenia with Human Induced Pluripotent Stem Cells. ADVANCES IN NEUROBIOLOGY 2020; 25:155-206. [PMID: 32578147 DOI: 10.1007/978-3-030-45493-7_6] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
Abstract
Schizophrenia is a chronic and severe neuropsychiatric condition manifested by cognitive, emotional, affective, perceptual, and behavioral abnormalities. Despite decades of research, the biological substrates driving the signs and symptoms of the disorder remain elusive, thus hampering progress in the development of treatments aimed at disease etiologies. The recent emergence of human induced pluripotent stem cell (hiPSC)-based models has provided the field with a highly innovative approach to generate, study, and manipulate living neural tissue derived from patients, making possible the exploration of fundamental roles of genes and early-life stressors in disease-relevant cell types. Here, we begin with a brief overview of the clinical, epidemiological, and genetic aspects of the condition, with a focus on schizophrenia as a neurodevelopmental disorder. We then highlight relevant technical advancements in hiPSC models and assess novel findings attained using hiPSC-based approaches and their implications for disease biology and treatment innovation. We close with a critical appraisal of the developments necessary for both further expanding knowledge of schizophrenia and the translation of new insights into therapeutic innovations.
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Affiliation(s)
- Samuel K Powell
- Medical Scientist Training Program, Icahn School of Medicine at Mount Sinai, New York, NY, USA.,Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA.,Department of Genetics and Genomics, Icahn School of Medicine at Mount Sinai, New York, NY, USA.,Department of Neuroscience, Icahn School of Medicine at Mount Sinai, New York, NY, USA.,Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Callan P O'Shea
- Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA.,Department of Genetics and Genomics, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Sara Rose Shannon
- Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA.,Department of Genetics and Genomics, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Schahram Akbarian
- Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA.,Department of Neuroscience, Icahn School of Medicine at Mount Sinai, New York, NY, USA.,Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Kristen J Brennand
- Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA. .,Department of Genetics and Genomics, Icahn School of Medicine at Mount Sinai, New York, NY, USA. .,Department of Neuroscience, Icahn School of Medicine at Mount Sinai, New York, NY, USA. .,Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
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2
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Kim S, Saad M, Tsuang DW, Wijsman EM. Visualization of haplotype sharing patterns in pedigree samples. Hum Hered 2014; 78:1-8. [PMID: 24969160 DOI: 10.1159/000358171] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/24/2013] [Accepted: 12/21/2013] [Indexed: 11/19/2022] Open
Abstract
OBJECTIVES A particular approach to the visualization of descent of founder DNA copies in a pedigree has been suggested, which helps to understand haplotype sharing patterns among subjects of interest. However, the approach does not provide the information in an ideal format to show haplotype sharing patterns. Therefore, we aimed to find an efficient way to visualize such sharing patterns and to demonstrate that our tool provides useful information for finding an informative subset of subjects for a sequence study. METHODS The visualization package, SharedHap, computes and visualizes a novel metric, the SharedHap proportion, which quantifies haplotype sharing among a set of subjects of interest. We applied SharedHap to simulated and real pedigree datasets to illustrate the approach. RESULTS SharedHap successfully represents haplotype sharing patterns that contribute to linkage signals in both simulated and real datasets. Using the visualizations we were also able to find ideal sets of subjects for sequencing studies. CONCLUSIONS Our novel metric that can be computed using the SharedHap package provides useful information about haplotype sharing patterns among subjects of interest. The visualization of the SharedHap proportion provides useful information in pedigree studies, allowing for a better selection of candidate subjects for use in further sequencing studies.
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Affiliation(s)
- Sulgi Kim
- Division of Medical Genetics, Department of Medicine, University of Washington, Seattle, Wash., USA
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3
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Chen YZ, Matsushita M, Girirajan S, Lisowski M, Sun E, Sul Y, Bernier R, Estes A, Dawson G, Minshew N, Shellenberg GD, Eichler EE, Rieder MJ, Nickerson DA, Tsuang DW, Tsuang MT, Wijsman EM, Raskind WH, Brkanac Z. Evidence for involvement of GNB1L in autism. Am J Med Genet B Neuropsychiatr Genet 2012; 159B:61-71. [PMID: 22095694 PMCID: PMC3270696 DOI: 10.1002/ajmg.b.32002] [Citation(s) in RCA: 25] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/27/2011] [Accepted: 10/21/2011] [Indexed: 11/22/2022]
Abstract
Structural variations in the chromosome 22q11.2 region mediated by nonallelic homologous recombination result in 22q11.2 deletion (del22q11.2) and 22q11.2 duplication (dup22q11.2) syndromes. The majority of del22q11.2 cases have facial and cardiac malformations, immunologic impairments, specific cognitive profile and increased risk for schizophrenia and autism spectrum disorders (ASDs). The phenotype of dup22q11.2 is frequently without physical features but includes the spectrum of neurocognitive abnormalities. Although there is substantial evidence that haploinsufficiency for TBX1 plays a role in the physical features of del22q11.2, it is not known which gene(s) in the critical 1.5 Mb region are responsible for the observed spectrum of behavioral phenotypes. We identified an individual with a balanced translocation 46,XY,t(1;22)(p36.1;q11.2) and a behavioral phenotype characterized by cognitive impairment, autism, and schizophrenia in the absence of congenital malformations. Using somatic cell hybrids and comparative genomic hybridization (CGH) we mapped the chromosome-22 breakpoint within intron 7 of the GNB1L gene. Copy number evaluations and direct DNA sequencing of GNB1L in 271 schizophrenia and 513 autism cases revealed dup22q11.2 in two families with autism and private GNB1L missense variants in conserved residues in three families (P = 0.036). The identified missense variants affect residues in the WD40 repeat domains and are predicted to have deleterious effects on the protein. Prior studies provided evidence that GNB1L may have a role in schizophrenia. Our findings support involvement of GNB1L in ASDs as well.
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Affiliation(s)
- Ying-Zhang Chen
- Department of Medicine (Medical Genetics), University of WashingtonSeattle, Washington
| | - Mark Matsushita
- Department of Medicine (Medical Genetics), University of WashingtonSeattle, Washington
| | - Santhosh Girirajan
- Department of Genome Sciences, University of WashingtonSeattle, Washington
| | - Mark Lisowski
- Department of Medicine (Medical Genetics), University of WashingtonSeattle, Washington
| | - Elizabeth Sun
- Department of Medicine (Medical Genetics), University of WashingtonSeattle, Washington
| | - Youngmee Sul
- Department of Medicine (Medical Genetics), University of WashingtonSeattle, Washington
| | - Raphael Bernier
- Department of Psychiatry and Behavioral Sciences, University of WashingtonSeattle, Washington
| | - Annette Estes
- Department of Speech and Hearing Sciences, University of WashingtonSeattle, Washington
| | - Geraldine Dawson
- Department of Psychiatry, University of North Carolina Chapel HillChapel Hill, North Carolina
| | - Nancy Minshew
- Department of Psychiatry and Neurology, University of PittsburghPittsburgh, Pennsylvania
| | - Gerard D Shellenberg
- Department of Pathology and Laboratory Medicine, University of Pennsylvania School of MedicinePhiladelphia, Pennsylvania
| | - Evan E Eichler
- Department of Genome Sciences, University of WashingtonSeattle, Washington,Howard Hughes Medical InstituteSeattle, Washington
| | - Mark J Rieder
- Department of Genome Sciences, University of WashingtonSeattle, Washington
| | | | - Debby W Tsuang
- Department of Psychiatry and Behavioral Sciences, University of WashingtonSeattle, Washington,VISN-20 Mental Illness Research, Education, and Clinical Center, Department of Veteran AffairsSeattle, Washington
| | - Ming T Tsuang
- Department of Psychiatry University of CaliforniaSan Diego, La Jolla, California
| | - Ellen M Wijsman
- Department of Medicine (Medical Genetics), University of WashingtonSeattle, Washington,Department of Biostatistics, University of WashingtonSeattle, Washington
| | - Wendy H Raskind
- Department of Medicine (Medical Genetics), University of WashingtonSeattle, Washington,Department of Psychiatry and Behavioral Sciences, University of WashingtonSeattle, Washington,VISN-20 Mental Illness Research, Education, and Clinical Center, Department of Veteran AffairsSeattle, Washington,**Correspondence to: Wendy H. Raskind, Division of Medical Genetics, Department of Medicine, University of Washington, D218, Box 357720, Seattle, WA 98195-7720. E-mail:
| | - Zoran Brkanac
- Department of Psychiatry and Behavioral Sciences, University of WashingtonSeattle, Washington,*Correspondence to: Zoran Brkanac, Department of Psychiatry and Behavioral Sciences, University of Washington, BB1545, Box 356560, Seattle, WA 98195-6560. E-mail:
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4
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Takahashi S, Cui YH, Han YH, Fagerness JA, Galloway B, Shen YC, Kojima T, Uchiyama M, Faraone SV, Tsuang MT. Association of SNPs and haplotypes in APOL1, 2 and 4 with schizophrenia. Schizophr Res 2008; 104:153-64. [PMID: 18632255 PMCID: PMC3736834 DOI: 10.1016/j.schres.2008.05.028] [Citation(s) in RCA: 19] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/28/2007] [Revised: 05/16/2008] [Accepted: 05/22/2008] [Indexed: 12/23/2022]
Abstract
Prior work found the APOL1, 2 and 4 genes, located on chromosome 22q12.3-q13.1, to be upregulated in brains of schizophrenic patients. We performed a family-based association study using 130 SNPs tagging the APOL gene family (APOL1-6). The subjects were 112 African-American (AA), 114 European-American (EA), 109 Chinese (Ch) and 42 Japanese (Jp) families with schizophrenia (377 families, 1161 genotyped members and 647 genotyped affected in total). Seven SNPs had p-values<0.05 in the APOL1, 2 and 4 regions for the AA, EA and combined (AA and EA) samples. In the AA sample, two SNPs, rs9610449 and rs6000200 showed low p-values; and a haplotype which comprised these two SNPs yielded a p-value of 0.00029 using the global test (GT) and the allele specific test (AST). The two SNPs and the haplotype were associated with risk for schizophrenia in African-Americans. In the combined (AA and EA) sample, two SNPs, rs2003813 and rs2157249 showed low p-values; and a three SNP haplotype including these two SNPs was significant using the GT (p=0.0013) and the AST (p=0.000090). The association of this haplotype with schizophrenia was significant for the entire (AA, EA, Ch and Jp) sample using the GT (p=0.00054) and the AST (p=0.00011). Although our study is not definitive, it suggests that the APOL genes should be more extensively studied in schizophrenia.
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Affiliation(s)
- Sakae Takahashi
- Division of Psychiatry, Department of Psychiatry, Nihon University, School of Medicine, Tokyo, Japan
| | - Yu-hu Cui
- Institute of Mental Health, Peking University, Peking, China
| | - Yong-hua Han
- Institute of Mental Health, Peking University, Peking, China
| | - Jesen A. Fagerness
- Department of Psychiatry, Harvard Medical School, and Psychiatric and Neurodevelopmental Genetics Unit, Massachusetts General Hospital, Charlestown, MA, USA
| | - Brian Galloway
- Department of Psychiatry, Harvard Medical School, and Psychiatric and Neurodevelopmental Genetics Unit, Massachusetts General Hospital, Charlestown, MA, USA
| | - Yu-cun Shen
- Institute of Mental Health, Peking University, Peking, China
| | - Takuya Kojima
- Division of Psychiatry, Department of Psychiatry, Nihon University, School of Medicine, Tokyo, Japan
| | - Makoto Uchiyama
- Division of Psychiatry, Department of Psychiatry, Nihon University, School of Medicine, Tokyo, Japan
| | - Stephen V. Faraone
- Departments of Psychiatry and of Neuroscience and Physiology, SUNY Upstate Medical University, Syracuse, NY, USA
| | - Ming T. Tsuang
- Department of Psychiatry, Harvard Medical School, Massachusetts Mental Health Center, Boston, MA, USA,Department of Psychiatry, Harvard Medical School, Massachusetts General Hospital, Boston, MA, USA,Harvard Institute of Psychiatric Epidemiology and Genetics, Boston, MA, USA,Department of Epidemiology, Harvard School of Public Health, Boston, MA,University of California, San Diego, CA, USA
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5
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Leonard S, Freedman R. Genetics of chromosome 15q13-q14 in schizophrenia. Biol Psychiatry 2006; 60:115-22. [PMID: 16843094 DOI: 10.1016/j.biopsych.2006.03.054] [Citation(s) in RCA: 98] [Impact Index Per Article: 5.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/02/2005] [Revised: 03/14/2006] [Accepted: 03/16/2006] [Indexed: 01/28/2023]
Abstract
Positive genetic linkage to the 15q13-q14 region has been found in 11 studies, and several association reports support this locus as a candidate region for schizophrenia. The locus is unusual in that it was first linked to an endophenotype found in schizophrenia, the P50 deficit, and subsequently to schizophrenia. There is also biological data showing that a candidate gene in the region, the alpha7 nicotinic receptor CHRNA7, plays a seminal role in the linked endophenotype, and is decreased in expression in the patient population. The 15q13-q14 region is complicated by a partial duplication of the CHRNA7 gene that includes exons 5-10 and considerable sequence downstream. Evidence from multiple studies supports a broad region of genetic linkage around the marker D15S1360.
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Affiliation(s)
- Sherry Leonard
- Department of Psychiatry, University of Colorado at Denver and Health Sciences Center, Fitzsimmons Campus, Aurora, Colorado 80045, USA.
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6
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Faraone SV, Skol AD, Tsuang DW, Young KA, Haverstock SL, Prabhudesai S, Mena F, Menon AS, Leong L, Sautter F, Baldwin C, Bingham S, Weiss D, Collins J, Keith T, Vanden Eng JL, Boehnke M, Tsuang MT, Schellenberg GD. Genome scan of schizophrenia families in a large Veterans Affairs Cooperative Study sample: evidence for linkage to 18p11.32 and for racial heterogeneity on chromosomes 6 and 14. Am J Med Genet B Neuropsychiatr Genet 2005; 139B:91-100. [PMID: 16152571 DOI: 10.1002/ajmg.b.30213] [Citation(s) in RCA: 18] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/18/2022]
Abstract
Genome-wide linkage analyses of schizophrenia have identified several regions that may harbor schizophrenia susceptibility genes but, given the complex etiology of the disorder, it is unlikely that all susceptibility regions have been detected. We report results from a genome scan of 166 schizophrenia families collected through the Department of Veterans Affairs Cooperative Studies Program. Our definition of affection status included schizophrenia and schizoaffective disorder, depressed type and we defined families as European American (EA) and African American (AA) based on the probands' and parents' races based on data collected by interviewing the probands. We also assessed evidence for racial heterogeneity in the regions most suggestive of linkage. The maximum LOD score across the genome was 2.96 for chromosome 18, at 0.5 cM in the combined race sample. Both racial groups showed LOD scores greater than 1.0 for chromosome 18. The empirical P-value associated with that LOD score is 0.04 assuming a single genome scan for the combined sample with race narrowly defined, and 0.06 for the combined sample allowing for broad and narrow definitions of race. The empirical P-value of observing a LOD score as large as 2.96 in the combined sample, and of at least 1.0 in each racial group, allowing for narrow and broad racial definitions, is 0.04. Evidence for the second and third largest linkage signals come solely from the AA sample on chromosomes 6 (LOD = 2.11 at 33.2 cM) and 14 (LOD = 2.13 at 51.0). The linkage evidence differed between the AA and EA samples (chromosome 6 P-value = 0.007 and chromosome 14 P-value = 0.004).
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Affiliation(s)
- S V Faraone
- Genetics Research Program and Department of Psychiatry and Behavioral Sciences, SUNY Upstate Medical University, Syracuse, NY 13210, USA.
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7
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Skol AD, Xiao R, Boehnke M. An algorithm to construct genetically similar subsets of families with the use of self-reported ethnicity information. Am J Hum Genet 2005; 77:346-54. [PMID: 16080111 PMCID: PMC1226201 DOI: 10.1086/432961] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2005] [Accepted: 06/15/2005] [Indexed: 01/05/2023] Open
Abstract
We present a simple algorithm that uses self-reported ethnicity information, pedigree structure, and affection status to group families into genetically more homogeneous subsets. This algorithm should prove useful to researchers who wish to perform genetic analyses on more-homogeneous subsets when they suspect that ignoring heterogeneity could lead to false-positive results or loss of power. We applied our algorithm to the self-reported ethnicity information of 159 families from the Veterans Affairs Cooperative Study of schizophrenia. We compared these estimates of population membership with those obtained using the program structure in an analysis of 378 microsatellite markers. We found excellent concordance between family classifications determined using self-reported ethnicity information and our algorithm and those determined using genetic marker data and structure; 158 of the 159 families had concordant classifications. In addition, the degree of admixture estimated using our algorithm and self-reported ethnicity information correlated well with that predicted using the genotype information.
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Affiliation(s)
- Andrew D Skol
- Department of Biostatistics, University of Michigan, Ann Arbor, MI 48109-2029, USA.
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8
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Knowles L, Sharma T. Identifying vulnerability markers in prodromal patients: a step in the right direction for schizophrenia prevention. CNS Spectr 2004; 9:595-602. [PMID: 15273652 DOI: 10.1017/s1092852900002765] [Citation(s) in RCA: 9] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
Abstract
Research has shown that many of the long-term deficits that are observable in schizophrenia populations are present prior to the emergence of psychotic symptoms. Recent research suggests schizophrenia has a "prodromal" period, whereby significant changes from premorbid functioning can be observed. Accurate classification of this period could have far-reaching implications for schizophrenia prevention. This article aims to provide an indepth evaluation of the perceived benefits of vulnerability marker research in this unique phase. It is hoped that identification of such markers may improve the predictive potency of prodromal criteria, and perhaps pave the way for future screening and primary prevention strategies.
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Affiliation(s)
- Lucy Knowles
- Collaborative Therapy Unit, the Mental Health Research Institute, Parkville, Australia
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9
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Takaki H, Kikuta R, Shibata H, Ninomiya H, Tashiro N, Fukumaki Y. Positive associations of polymorphisms in the metabotropic glutamate receptor type 8 gene (GRM8) with schizophrenia. Am J Med Genet B Neuropsychiatr Genet 2004; 128B:6-14. [PMID: 15211621 DOI: 10.1002/ajmg.b.20108] [Citation(s) in RCA: 40] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/10/2022]
Abstract
The glutamatergic dysfunction has been implicated in pathophysiology of schizophrenia. The Group III metabotropic glutamate receptor 4 (mGluR4), 6, 7, and 8 are thought to modulate glutamatergic transmission in the brain by inhibiting glutamate release at the synapse. We tested association of schizophrenia with GRM8 using 22 single nucleofide polymorphisms (SNPs) with the average intervals of 40.3 kb in the GRM8 region in 100 case-control pairs for the SNPs. Although we observed significant associations of schizophrenia with two SNPs, SNP18 (rs2237748, allele: P = 0.0279; genotype: P = 0.0124) and SNP19 (rs2299472, allele: P = 0.0302; genotype: P = 0.0127), none of two SNPs showed significant association with disease after Bonferroni correction. Both SNP18 and SNP19 were included in a large region (>330 kb) in which SNPs are in linkage disequilibrium (LD) at the 3' region of GRM8. We also tested haplotype association of schizophrenia with constructed haplotypes of the SNPs in LD. Significant associations were detected for the combinations of SNP5-SNP6 (chi(2) = 18.12, df = 3, P = 0.0004, P corr = 0.0924 with Bonferroni correction), SNP4-SNP5-SNP6 (chi(2) = 27.50, df = 7, P = 0.0075, P corr = 0.015 with Bonferroni correction), and SNP5-SNP6-SNP7 (chi(2) = 23.92, df = 7, P = 0.0011, P corr = 0.0022 with Bonferroni correction). Thus, we conclude that at least one susceptibility locus for schizophrenia is located within the GRM8 region in Japanese.
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Affiliation(s)
- Hiromi Takaki
- Division of Disease Genes, Research Center For Genetic Information, Medical Institute of Bioregulation, Kyushu University, 3-1-1 Maidashi, Higashi-ku, Fukuoka 812-8582, Japan
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10
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Skol AD, Young KA, Tsuang DW, Faraone SV, Haverstock SL, Bingham S, Prabhudesai S, Mena F, Menon AS, Yu CE, Rundell P, Pepple J, Sauter F, Baldwin C, Weiss D, Collins J, Keith T, Boehnke M, Schellenberg GD, Tsuang MT. Modest evidence for linkage and possible confirmation of association between NOTCH4 and schizophrenia in a large Veterans Affairs Cooperative Study sample. Am J Med Genet B Neuropsychiatr Genet 2003; 118B:8-15. [PMID: 12627457 DOI: 10.1002/ajmg.b.10055] [Citation(s) in RCA: 27] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
Abstract
Wei and Hemmings [2000: Nat Genet 25:376-377], using 80 British parent-offspring trios, identified a number of NOTCH4 variants and haplotypes that showed statistically significant evidence of association to schizophrenia. Specifically, the 10 repeat allele of a (CTG)(n) marker and the 8 repeat allele of a (TAA)(n) marker demonstrated excess transmission to affected individuals; SNP21 and haplotypes SNP2-(CTG)(n) and SNP12-SNP2-(CTG)(n) also showed significant associations. In an attempt to replicate these findings, we tested for linkage and association between the same five markers used by Wei and Hemmings in 166 families collected from a multi-center study conducted by the Department of Veterans Affairs (DVA) Cooperative Study Program (CSP). The families include 392 affected subjects (schizophrenia or schizoaffective disorder, depressed) and 216 affected sibling pairs. The families represent a mix of European Americans (n = 62, 37%), African Americans (n = 60, 36%), and racially mixed or other races (n = 44, 27%). We identified moderate evidence for linkage in the pooled race sample (LOD = 1.25) and found excess transmission of the 8 (P = 0.06) and 13 (P = 0.04) repeat alleles of the (TAA)(n) marker to African American schizophrenic subjects. The 8 and 13 repeat alleles were previously identified to be positively associated with schizophrenia by Wei and Hemmings [2000: Nat Genet 25:376-377] and Sklar et al. [2001: Nat Genet 28:126-128], respectively.
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Affiliation(s)
- A D Skol
- Department of Biostatistics and Center for Statistical Genetics, University of Michigan, Ann Arbor, MI, USA
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11
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Faraone SV, Seidman LJ, Kremen WS, Kennedy D, Makris N, Caviness VS, Goldstein J, Tsuang MT. Structural brain abnormalities among relatives of patients with schizophrenia: implications for linkage studies. Schizophr Res 2003; 60:125-40. [PMID: 12591577 DOI: 10.1016/s0920-9964(02)00304-3] [Citation(s) in RCA: 17] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/12/2023]
Abstract
Several studies suggest that the nonschizophrenic relatives of schizophrenic patients exhibit structural brain abnormalities that may be manifestations of genes that predispose to schizophrenia. In this work, we examine the utility of such measures for linkage analyses. Subjects were 45 nonpsychotic first-degree adult relatives of schizophrenic patients and 48 normal controls. Sixty contiguous 3-mm coronal, T1-weighted 3D magnetic resonance images of the entire brain were acquired on a 1.5-T magnet. We used factor analysis to derive MRI-based phenotypes for analysis. The factor analyses produced three factors that significantly discriminated relatives from controls. We used a linear combination of the three factor scores to derive an MRI phenotype. A receiver operating characteristic (ROC) analysis of this phenotype estimated an area under the curve (AUC) statistic of 0.85. The phenotype also discriminated nonpsychotic relatives having two schizophrenic relatives from those having only one. The nonpsychotic relatives of schizophrenic patients show deviant values on MRI measures of brain structure and the distribution of these deviations among relatives and controls suggests that if these results can be replicated, an MRI-derived phenotype could be useful for genetic linkage and association analyses.
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Affiliation(s)
- Stephen V Faraone
- Harvard Medical School Department of Psychiatry at the Massachusetts Mental Health Center, Boston, MA, USA.
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12
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Faraone SV, Skol AD, Tsuang DW, Bingham S, Young KA, Prabhudesai S, Haverstock SL, Mena F, Menon ASK, Bisset D, Pepple J, Sautter F, Baldwin C, Weiss D, Collins J, Keith T, Boehnke M, Tsuang MT, Schellenberg GD. Linkage of chromosome 13q32 to schizophrenia in a large veterans affairs cooperative study sample. AMERICAN JOURNAL OF MEDICAL GENETICS 2002; 114:598-604. [PMID: 12210272 DOI: 10.1002/ajmg.10601] [Citation(s) in RCA: 27] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/10/2022]
Abstract
Several prior reports have suggested that chromosomal region 13q32 may harbor a schizophrenia susceptibility gene. In an attempt to replicate this finding, we assessed linkage between chromosome 13 markers and schizophrenia in 166 families, each with two or more affected members. The families, assembled from multiple centers by the Department of Veterans Affairs Cooperative Studies Program, included 392 sampled affected subjects and 216 affected sib pairs. By DSM-III-R criteria, 360 subjects (91.8%) had a diagnosis of schizophrenia and 32 (8.2%) were classified as schizoaffective disorder, depressed. The families had mixed ethnic backgrounds. The majority were northern European-American families (n = 62, 37%), but a substantial proportion were African-American kindreds (n = 60, 36%). Chromosome 13 markers, spaced at intervals of approximately 10 cM over the entire chromosome and 2-5 cM for the 13q32 region were genotyped and the data analyzed using semi-parametric affected only linkage analysis. For the combined sample (with race broadly defined and schizophrenia narrowly defined) the maximum LOD score was 1.43 (Z-score of 2.57; P = 0.01) at 79.0 cM between markers D13S1241 (76.3 cM) and D13S159 (79.5 cM). Both ethnic groups showed a peak in this region. The peak is within 3 cM of the peak reported by Brzustowicz et al. [1999: Am J Hum Genet 65:1096-1103].
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Affiliation(s)
- Stephen V Faraone
- Brockton/West Roxbury Veterans Affairs Medical Center, Brockton, Massachusetts, USA.
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13
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Abstract
Interest in the prodromal stage of schizophrenia-the stage directly preceding the onset of psychosis-has recently undergone a dramatic increase. To a great extent, this has resulted from the convergence of two very different research traditions. Many treatment researchers have moved from a concern with symptom control to an interest in prevention and view the prodrome as the optimal stage to begin intervention with anti-psychotics. High-risk researchers, who view the identification of accurate risk factors as necessarily preceding preventive programs, have begun to move from the premorbid to the prodromal phase as the most effective starting point. Thus, researchers in both traditions have targeted the schizophrenia prodrome as the most likely gateway to prevention. However, clashes between the two traditions in approaches, methodology and research goals have also led to considerable controversy. Such issues as how best to define the prodrome, what the actual risk for schizophrenia is among prodromal individuals, and what type of medication should be used remain largely unresolved. The Hillside Recognition and Prevention (RAP) Program has been designed to address many of these and related questions. Within a naturalistic treatment framework, the RAP program combines both high-risk and treatment research strategies. Preliminary findings from a 3-year RAP pilot study, for example, suggest that the prodrome is a developmentally complex phase of schizophrenia, that it consists of distinctly different subgroups and that novel anti-psychotics are clearly beneficial for some but not all individuals. Depending upon clinical characteristics and phase of the prodrome, anti-depressants also appear highly effective.
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Affiliation(s)
- Barbara Cornblatt
- Department of Psychiatry Research, Hillside Hospital of the North Shore-Long Island Jewish Health System, 75-59 263rd Street, Glen Oaks, NY 11004, USA.
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14
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Tsuang DW, Skol AD, Faraone SV, Bingham S, Young KA, Prabhudesai S, Haverstock SL, Mena F, Menon AS, Bisset D, Pepple J, Sauter F, Baldwin C, Weiss D, Collins J, Boehnke M, Schellenberg GD, Tsuang MT. Examination of genetic linkage of chromosome 15 to schizophrenia in a large Veterans Affairs Cooperative Study sample. ACTA ACUST UNITED AC 2002. [DOI: 10.1002/ajmg.1550] [Citation(s) in RCA: 62] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/10/2022]
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Abstract
Converging theoretical, psychopharmacological, neurodevelopmental advances have led to increasing interest in preventive intervention in schizophrenia. In particular, evidence suggests that early treatment is associated with a better prognosis. Furthermore, based on the reported reduction in severe side effects, the new novel antipsychotics potentially provide the tools for early intervention. Nevertheless, initiation of intervention during the prodrome has become controversial because of such unresolved issues as: (i) how to accurately identify susceptible individuals who are in true need of preventive intervention; (ii) at what developmental point in the prodrome medication should be initiated; (iii) how long medication should be continued; and (iv) what medication is optimal for each phase of the prodrome. By adopting a naturalistic, prospective research strategy, the Recognition and Prevention (RAP) program now underway in New York has been designed to address these and other important questions involved in prodromal research and treatment.
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