Schizophrenia

Genetic Data

Full Genome Genotyping

• SZ Dataset 35 Genome-wide Pedigree Data, December 2012, n=1534 pedigrees.
• SZ Dataset 35 - readme For more information, visit the CAPS homepage.
• SZ Dataset 36 SNP Genotypes for Select Pedigrees, April 2014, n=47 pedigrees, 330 subjects. Affymetrix Axiom Lat platform. .CEL files must be shipped due to the large size of the files. To request shipment, please contact help@nrgr.on.spiceworks.com and reference your active access approval ID.
• SZ Dataset 36 - readme For more information, visit the CAPS homepage.

Genetic Data

Full Genome Genotyping

• PGC-SCZ - data & documentation Introduction, results, plots, and genotype data. For more information about PGC, visit https://www.med.unc.edu/pgc.
• PGC-SCZ - imputation & dosage data Imputation & dosage data, separated due to file size ().
• PGC-SCZ - imputation & dosage data - ReadMe Case-control data on 14,948 subjects. 14 cohorts available, some at NRGR. 8,004 Total Cases. Imputed Genotypes on 2.5M SNPs.

Genetic Data

Full Genome Genotyping

• SZ Dataset 25 Full genome screen, 12,015 markers. 1,546 subjects. Data is provided by Anna Need from multiple studies: Study 0 (123 subjects), Study 12 (69 subjects), Study 15 (42 subjects), Study 22 (549 subjects), Study 23 (119 subjects), Study 29 (207 subjects), and Study 6 (398 subjects).  There are 39 subjects in Dr. Anna Need's genotype file but are not included in Schizophrenia Dist. 9.0.

Genetic Data

Full Genome Genotyping

• SZ Dataset 26 7,584 markers on chr 1-22. 639 subjects. Data is provided by Dr. Mark Brennan from multiple studies.  It includes 424 subjects from CATIE (study 17) and 215 subjects from GAIN.

Genetic Data

Sequence - Targeted Gene

• SZ Dataset 30 Next Generation Sequencing of Two Genes on chr 8 (EGR3 and ARC), 4,066 subjects. This data is available by request due to the large size of the files.  To request shipment, please contact help@nrgr.on.spiceworks.com and reference your active access approval ID.

Targeted Genotyping

• SZ Dataset 18 14 Genes, 648 SNPs Markers. 1870 cases, 2002 controls. Subjects from multiple studies (NIMH SZ study 0, study 6, study 29).

Genetic Data

Targeted Genotyping

• SZ Dataset 19 240 SNPs, 42 genes, on Chromosomes 1-6, 8-13, 22, X, Y. 761 subjects from multiple studies (NIMH SZ study 0, study 6, study 12).

Genetic Data

Full Genome Genotyping

• SZ Dataset 37 MGS - Molecular Genetics of Schizophrenia MULTIPLE - Studies 0, 6, 27 and 29 SZ Dataset 37 CNV detection with Birdsuite software of Affymetrix 6.0 genotyping array calls. Subjects were part of the Molecular Genetics of Schizophrenia study. Cases: 3721, Controls: 3851, 52 Families. Analysis data files provided by Dr. Douglas F. Levinson.

Genetic Data

Full Genome Genotyping

• SZ Dataset 1.03 Full Genome Screen, Alternate version of SZ Dataset 8.01. 455 markers, 261 subjects.
• SZ Dataset 20 Full Genome Screen. 624 markers, 109 subjects.
• SZ Dataset 8.01 Full Genome Screen, alternate version of SZ Dataset 1.03. 455 markers, 261 subjects.

Sequence - Exome

• SZ Dataset 28  Exome Sequence data (ABI SOLiDv4) on 12 family cases from sites 30 & 32, Dr. Debby Tsuang. BAM files are shipped upon request due to the large size of the files. To request shipment, please contact help@nrgr.on.spiceworks.com and reference your active access approval ID.

Targeted Genotyping

• SZ Dataset 10 13 markers on chromosome 4, 14 markers on chromosome 22, and 3 SNPs and 1 microsatellite marker in the Sult 4A region on chromosome 22. 169 subjects.
• SZ Dataset 14 5 BDNF Markers. 42 subjects.
• SZ Dataset 15 21 Markers on Chromosome 4 and 43 Markers on Chromosome 22. 225 subjects.
• SZ Dataset 16 Syn2 Gene, 4 Microsatellite Markers and 11 SNPs Markers on Chromosome 3. 231 subjects.
• SZ Dataset 2 Alpha2B Adrenoceptor for 26 Trios, 78 subjects.
• SZ Dataset 3 10 Markers for Chromosome 22, 429 subjects.
• SZ Dataset 4 hKCa3 on Chromosome 1q21, 240 subjects.
• SZ Dataset 5 9 Markers on Chromosome 6, 371 subjects.
• SZ Dataset 6 3 Markers on Chromosome 15, 182 subjects.
• SZ Dataset 7 K274E Mutation in PAH, 68 subjects.
• SZ Dataset 9 Aromatic amino acid hydroxylase genes 8 markers for PAH, TPH, TH. 69 subjects.

Clinical Instruments

BEFD

• Study SZ0 Best Estimate Final Diagnosis Sheet

DIGS

Diagnostic Interview for Genetic Studies (DIGS) - The CSV-format DIGS interview files provided below are cleaned versions of those received from the original study investigators. While they retain the record layouts and variable naming of their respective DIGS versions, they have had invalid values corrected or removed, date fields converted to a standard format, and their various missing/ unknown values converted to standard textual metavalues in order to avoid misinterpretation. Further details on the cleaning that has been performed are included in the file "sz-digs-cleaning-readme.txt" included in the download. To download the original files as received from study investigators, use "original" links below.

The DIGS data for Study 0 (Sites 30, 31, 32) was collected by using DIGS Version 1.0 or 2.0, both versions have a core of variables in common.

• Cleaned
• Original

Genetic Data

Full Genome Genotyping

• SZ Dataset 12 375 Markers on Chromosome 1 to Chromosome 22, 15 Markers on Chromosome X. 2,405 subjects.

Targeted Genotyping

• SZ Dataset 17 PLXNA2 Gene, 3 Microsatellite Markers and 4 SNPs Markers on Chromosome 1. 1,143 subjects.

Clinical Instruments

DIGS

Diagnostic Interview for Genetic Studies (DIGS) - The CSV-format DIGS interview files provided below are cleaned versions of those received from the original study investigators. While they retain the record layouts and variable naming of their respective DIGS versions, they have had invalid values corrected or removed, date fields converted to a standard format, and their various missing/ unknown values converted to standard textual metavalues in order to avoid misinterpretation. Further details on the cleaning that has been performed are included in the file "sz-digs-cleaning-readme.txt" included in the download. To download the original files as received from study investigators, use "original" links below.

The DIGS data for Study 3a (Site 35) was collected by using DIGS Version 2.0.

• Cleaned
• Original

Genetic Data

Full Genome Genotyping

• SZ Dataset 11.01 401 markers, STRP genotype data from Chromosome 1-23, for 1,422 African American and European American subjects

Clinical Instruments

DIGS

Diagnostic Interview for Genetic Studies (DIGS) - The CSV-format DIGS interview files provided below are cleaned versions of those received from the original study investigators. While they retain the record layouts and variable naming of their respective DIGS versions, they have had invalid values corrected or removed, date fields converted to a standard format, and their various missing/ unknown values converted to standard textual metavalues in order to avoid misinterpretation. Further details on the cleaning that has been performed are included in the file "sz-digs-cleaning-readme.txt" included in the download. To download the original files as received from study investigators, use "original" links below.

The DIGS data for Study 6 (Sites 41-49) was collected by using DIGS Version 2.1.

• Cleaned
• Original

Genetic Data

Full Genome Genotyping

• SZ Dataset 34 Full Genome Screen of 1,323 subjects, Illumina 2.5M4; 2.5M8; 550k v1, v2; 610k; 660k

Clinical Instruments

Other

• Phenotypic Data - Cases Best Estimate final diagnoses per individual (DSM-IV)
• Phenotypic Data - Controls Best Estimate final diagnoses per individual (DSM-IV)

Clinical Instruments

BEFD

• Study 12 Best Estimate Final Diagnosis Sheet

DIGS

Diagnostic Interview for Genetic Studies (DIGS) - The CSV-format DIGS interview files provided below are cleaned versions of those received from the original study investigators. While they retain the record layouts and variable naming of their respective DIGS versions, they have had invalid values corrected or removed, date fields converted to a standard format, and their various missing/ unknown values converted to standard textual metavalues in order to avoid misinterpretation. Further details on the cleaning that has been performed are included in the file "sz-digs-cleaning-readme.txt" included in the download. To download the original files as received from study investigators, use "original" links below.

The DIGS data for Study 12 (Site 33) was collected by using DIGS Version 2.0.

• Cleaned
• Original

Genetic Data

Full Genome Genotyping

• SZ Dataset 22 Full Genome Screen - Escamilla 2003 Linkage Data. 434 subjects.
• SZ Dataset 23 Full Genome Screen - Escamilla 2005 Linkage Data. 868 subjects.

Clinical Instruments

DIGS

Diagnostic Interview for Genetic Studies (DIGS) - The CSV-format DIGS interview files provided below are cleaned versions of those received from the original study investigators. While they retain the record layouts and variable naming of their respective DIGS versions, they have had invalid values corrected or removed, date fields converted to a standard format, and their various missing/ unknown values converted to standard textual metavalues in order to avoid misinterpretation. Further details on the cleaning that has been performed are included in the file "sz-digs-cleaning-readme.txt" included in the download. To download the original files as received from study investigators, use "original" links below.

The DIGS data for Study 13 (Sites 53, 54, 55, 56, 57, 58, 59) was collected by using DIGS Version 2.0 or 2.1.

• Cleaned
• Original

Genetic Data

Full Genome Genotyping

• SZ Dataset 21 Chromosomes 1-22, 386 Microsatellite Markers and 93 SNP Markers. 616 subjects.

Clinical Instruments

BEFD

• Study 15 Best Estimate Final Diagnosis Sheet

DIGS

Diagnostic Interview for Genetic Studies (DIGS) - The CSV-format DIGS interview files provided below are cleaned versions of those received from the original study investigators. While they retain the record layouts and variable naming of their respective DIGS versions, they have had invalid values corrected or removed, date fields converted to a standard format, and their various missing/ unknown values converted to standard textual metavalues in order to avoid misinterpretation. Further details on the cleaning that has been performed are included in the file "sz-digs-cleaning-readme.txt" included in the download. To download the original files as received from study investigators, use "original" links below.

The DIGS data for Study 15 (Sites 70, 71) was collected by using DIGS Version 2.0.

• Cleaned
• Original

Genetic Data

Full Genome Genotyping

• SZ Dataset 13 CATIE Genome-Wide Association Data. Case-Control. PLINK files from Affymetrix 500k platform. 741 cases, 751 controls.
• SZ Dataset 27 CATIE Genome-Wide Association Data, 291 cases. PLINK files from Affymetrix 6.0 platform. CEL files and CHP files are sent by request due to the large size of the files. To request shipment, please contact help@nrgr.on.spiceworks.com and reference your active access approval ID.

Clinical Instruments

BEFD

• Study 17 Explanation for lack of BEFD

Clinical Trial

• CATIE Clinical Trial Data Clinical Antipsychotic Trials of Intervention Effectiveness data, Including SCID, family interviews, laboratory results, adverse event reports, and more.

Genetic Data

Full Genome Genotyping

• SZ Dataset 24 Full Genome Screen - PAARTNERS. 5,756 markers. 787 subjects.

Clinical Instruments

Clinical Trial

• Computerized Neurocognitive Program (CNP) data Includes demographics (sex, age, education, education of both parents, handedness (1-right, 2-left)), raw CNP data, and processed CNP data

DIGS

Diagnostic Interview for Genetic Studies (DIGS) - The CSV-format DIGS interview files provided below are cleaned versions of those received from the original study investigators. While they retain the record layouts and variable naming of their respective DIGS versions, they have had invalid values corrected or removed, date fields converted to a standard format, and their various missing/ unknown values converted to standard textual metavalues in order to avoid misinterpretation. Further details on the cleaning that has been performed are included in the file "sz-digs-cleaning-readme.txt" included in the download. To download the original files as received from study investigators, use "original" links below.

The DIGS data for Study 22 (Sites 101-108) was collected by using DIGS Version 3.0 and Version 4.0.

• Cleaned
• Original

Clinical Instruments

DIGS

Diagnostic Interview for Genetic Studies (DIGS) - The CSV-format DIGS interview files provided below are cleaned versions of those received from the original study investigators. While they retain the record layouts and variable naming of their respective DIGS versions, they have had invalid values corrected or removed, date fields converted to a standard format, and their various missing/ unknown values converted to standard textual metavalues in order to avoid misinterpretation. Further details on the cleaning that has been performed are included in the file "sz-digs-cleaning-readme.txt" included in the download. To download the original files as received from study investigators, use "original" links below.

The DIGS data for Study 23 (Site 73) was collected by using DIGS Version 2.0.

• Cleaned
• Original

Clinical Instruments

Other

• Phenotypic Data - Cases Includes anti-saccade performance data, demographics, GAF, WRAT, and CVLT summary scores, and a number of Cognitive accuracy & speed scores.
• Phenotypic Data - Controls Includes anti-saccade performance data, demographics, GAF, WRAT, and CVLT summary scores, and a number of Cognitive accuracy & speed scores.

Clinical Instruments

DIGS

Diagnostic Interview for Genetic Studies (DIGS) - The CSV-format DIGS interview files provided below are cleaned versions of those received from the original study investigators. While they retain the record layouts and variable naming of their respective DIGS versions, they have had invalid values corrected or removed, date fields converted to a standard format, and their various missing/ unknown values converted to standard textual metavalues in order to avoid misinterpretation. Further details on the cleaning that has been performed are included in the file "sz-digs-cleaning-readme.txt" included in the download. To download the original files as received from study investigators, use "original" links below.

The DIGS data for Study 29 (Sites 139-149) was collected by using DIGS Version 2.2.

• Cleaned
• Original

Clinical Instruments

DIGS

Diagnostic Interview for Genetic Studies (DIGS) - The CSV-format DIGS interview files provided below are cleaned versions of those received from the original study investigators. While they retain the record layouts and variable naming of their respective DIGS versions, they have had invalid values corrected or removed, date fields converted to a standard format, and their various missing/ unknown values converted to standard textual metavalues in order to avoid misinterpretation. Further details on the cleaning that has been performed are included in the file "sz-digs-cleaning-readme.txt" included in the download. To download the original files as received from study investigators, use "original" links below.

The DIGS data for Study 42 (Site 185) was collected by using DIGS Version 3.0 Revised 7.

• Cleaned
• Original

Other

• Phenotypic Data - Controls Health screening questionnaire data for 309 ethnicity-matched controls, mean age of 70 years.

Clinical Instruments

DIGS

Diagnostic Interview for Genetic Studies (DIGS) - The CSV-format DIGS interview files provided below are cleaned versions of those received from the original study investigators. While they retain the record layouts and variable naming of their respective DIGS versions, they have had invalid values corrected or removed, date fields converted to a standard format, and their various missing/ unknown values converted to standard textual metavalues in order to avoid misinterpretation. Further details on the cleaning that has been performed are included in the file "sz-digs-cleaning-readme.txt" included in the download. To download the original files as received from study investigators, use "original" links below.

DIGS data for study 59 is in Comprehensive Assessment of Symptoms and History (CASH) format.

• Cleaned
• Original

Clinical Instruments

Other

• Diagnoses Extended diagnosis file (DSM4 codes) and Study-provided diagnosis definitions

Clinical Instruments

Other

• Phenotypic Data - Controls Cannabis & Psychosis questionnaire data
• Phenotypic Data - Cases Cannabis & Psychosis questionnaire data

Clinical Instruments

Clinical Trial

• PROACTIVE Clinical Trial Data Including demographics, physical & medical exam, SCID, BPRS, CGI, medication logs, adverse event reports, and more.

Genetic Data

Targeted Genotyping

• SZ Dataset 32 Partial Exome, Illumina platform, 38 Genes

Clinical Instruments

Other

• Phenotypic Data Includes OPCRIT data, extended diagnosis file (DSM4), and study-defined diagnosis file.

This study does not have any additional genetic or clinical data. All study data is included in the standard distribution files above.

Clinical Instruments

Other

• Phenotypic Data - Controls Data on age, sex, and social class matched controls
• Phenotypic Data - High Risk Data on individuals with increased familial risk for developing schizophrenia ("high risk")

Genetic Data

Full Genome Genotyping

• SZ Dataset 33 GWAS from Ireland, 3,878 subjects. This dataset is available by request due to the large size of the files, including an archive of genotypes, .cel files, and diagnostic clinical information for the existing samples. Please contact help@nrgr.on.spiceworks.com and reference your active access approval ID.

This study does not have any additional genetic or clinical data. All study data is included in the standard distribution files above.

Clinical Instruments

DIGS

Diagnostic Interview for Genetic Studies (DIGS) - The CSV-format DIGS interview files provided below are cleaned versions of those received from the original study investigators. While they retain the record layouts and variable naming of their respective DIGS versions, they have had invalid values corrected or removed, date fields converted to a standard format, and their various missing/ unknown values converted to standard textual metavalues in order to avoid misinterpretation. Further details on the cleaning that has been performed are included in the file "sz-digs-cleaning-readme.txt" included in the download. To download the original files as received from study investigators, use "original" links below.

DIGS data for Study 92 (Sites 320-321) were collected by using DIGS Version 2.0

• Cleaned
• Original

Genetic Data

Sequence - Exome

• SZ Dataset 31 CIAC case-control data. This dataset is available by request due to the large size of the files, including Whole-Exome Sequencing (Illumina HiSeq2000 - 443 subjects, 67 cases), Illumina HumanExome BeadChip (Exome Chip - 319 subjects, 113 cases), Illumina OmniExpress BeadChip (GWAS Chip - 384 subjects, 135 cases) data. Please contact help@nrgr.on.spiceworks.com and reference your active access approval ID.

Clinical Instruments

Other

• Phenotypic Data - CIAC Data on presence of absence of granulocytes during treatment with clozapine, for both cases and controls

Clinical Instruments

Clinical Trial

• ACLAIMS Clinical Trial Data Including demographics, SCID, PANSS, AIMS, CGI, physical exam, and laboratory results.

Clinical Instruments

Other

• Documentation Study-specific diagnosis definitions and blank interview forms.

Genetic Data

Full Genome Genotyping

• SZ Dataset 29 No samples hosted at NIMH Repository and Genomics Resource. This dataset is hosted for public download by request of Pat Sullivan. Data from multi-stage genome-wide association study (GWAS) for schizophrenia beginning with a Swedish national sample (5,001 cases and 6,243 controls) followed by meta-analysis with previous schizophrenia GWAS (8,832 cases and 12,067 controls) and finally by replication of SNPs in 168 genomic regions in independent samples (7,413 cases, 19,762 controls and 581 parent-offspring trios).