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dbGaP phs001833 Genetic Model of MS Severity Predicts Future Accumulation of Disability - F.4

- 26-06-23 - 4 Formulieren, 1 Itemgroep, 5 Data-elementen, 1 Taal
Itemgroep: pht009153
https://www.ncbi.nlm.nih.gov/projects/gap/cgi-bin/study.cgi?study_id=phs001833 NCT00794352 The goal of "Comprehensive Multimodal Analysis of Neuroimmunological Diseases of the CNS" is to define the pathophysiological mechanisms underlying the development of disability in immune-mediated disorders of the central nervous system (CNS) and to distinguish these from physiological (and often beneficial) responses of the human immune system to CNS injury. The long-term objective of the trial is to acquire knowledge that would allow us to therapeutically inhibit the pathogenic mechanisms and enhance repair mechanisms in immune-mediated CNS diseases, thereby minimizing the extent of CNS tissue damage and promoting recovery. To date, 460 patients with a confirmed diagnosis of multiple sclerosis (MS) have been enrolled into the natural history clinical trial. In addition to standardized clinical, functional, neuroimaging and molecular/immunological data, blood samples were also collected for genetic research. However, only 299 study participants with confirmed MS currently have whole genome sequencing data available. In addition to the genome-wide data available for the 299 MS patients, this dbGaP submission provides demographic and phenotypic information for each subject collected at various points throughout the trial. We include race and family history of MS collected at the baseline visit as well as age and measures of disease severity collected at the most recent visit. As these data were randomized into discovery and validation cohorts, we also indicate the assigned group in the phenotypic data. It is hoped that these data may be applied to the development of clinically-useful tools such as diagnostic tests and new, sensitive scales of neurological disability, disease severity and CNS tissue destruction. Principal Investigator: Bibiana Bielekova, PhD. National Institutes of Health, Bethesda, MD, USA Funding Sources: Intramural Research Program of the National Institute of Allergy and Infectious Diseases. National Institutes of Health, Bethesda, MD, USA Acknowledgement Statement: Please cite/reference the use of dbGaP data by including the dbGaP accession phs001833.v1.p1.

F.1

1 Itemgroep 2 Data-elementen

F.2

1 Itemgroep 2 Data-elementen

F.3

1 Itemgroep 7 Data-elementen

dbGaP phs000021 Genome-Wide Association Study of Schizophrenia - Eligibility

- 29-01-25 - 9 Formulieren, 1 Itemgroep, 10 Data-elementen, 1 Taal
Itemgroep: IG.elig
Principal Investigator: Pablo V. Gejman, MD, NorthShore University HealthSystem (NUH), Evanston, IL, USA MeSH: Schizophrenia https://www.ncbi.nlm.nih.gov/projects/gap/cgi-bin/study.cgi?study_id=phs000021 The goal of the study is to find susceptibility genes for schizophrenia. *Dataset versioning* - Version 1: European-American (EA) ancestry only - Version 2: Version 1 plus African-American (AA) ancestry *Consent groups and participant set* - General research use (GRU): 4591 cases and controls (1217 EA cases, 1442 EA controls, 953 AA cases, 979 AA controls) This consent group includes a subset of schizophrenia cases and all controls (which overlap with Bipolar study controls in Bipolar: GRU dataset). - Schizophrenia and related disorders (SARC): 475 cases (187 EA cases, 288 AA cases) This consent group includes a subset of schizophrenia cases.

pht000067.v2.p2

1 Itemgroep 119 Data-elementen

pht000068.v1.p2

1 Itemgroep 38 Data-elementen

pht000069.v1.p2

1 Itemgroep 253 Data-elementen

pht000287.v1.p2

1 Itemgroep 253 Data-elementen

pht002001.v1.p2

1 Itemgroep 2 Data-elementen

pht002002.v1.p2

1 Itemgroep 2 Data-elementen

dbGaP phs000021 Genome-Wide Association Study of Schizophrenia - pht000067.v2.p2

- 12-05-22 - 8 Formulieren, 1 Itemgroep, 119 Data-elementen, 1 Taal
Itemgroep: pht000067.v2.p2
https://www.ncbi.nlm.nih.gov/projects/gap/cgi-bin/study.cgi?study_id=phs000021.v3.p2 The goal of the study is to find susceptibility genes for schizophrenia. *Dataset versioning* - Version 1: European-American (EA) ancestry only - Version 2: Version 1 plus African-American (AA) ancestry *Consent groups and participant set* - General research use (GRU): 4591 cases and controls (1217 EA cases, 1442 EA controls, 953 AA cases, 979 AA controls) This consent group includes a subset of schizophrenia cases and all controls (which overlap with Bipolar study controls in Bipolar: GRU dataset). - Schizophrenia and related disorders (SARC): 475 cases (187 EA cases, 288 AA cases) This consent group includes a subset of schizophrenia cases.

pht000068.v1.p2

1 Itemgroep 38 Data-elementen

pht000069.v1.p2

1 Itemgroep 253 Data-elementen

pht000287.v1.p2

1 Itemgroep 253 Data-elementen

pht000288.v1.p2

1 Itemgroep 38 Data-elementen

pht002001.v1.p2

1 Itemgroep 2 Data-elementen

pht002002.v1.p2

1 Itemgroep 2 Data-elementen

dbGaP phs000020 Major Depression: Stage 1 Genomewide Association in Population-Based Samples - pht000668.v1.p1

- 12-10-22 - 4 Formulieren, 1 Itemgroep, 2 Data-elementen, 1 Taal
Itemgroep: pht000668
Principal Investigator: MeSH: Major Depressive Disorder https://www.ncbi.nlm.nih.gov/projects/gap/cgi-bin/study.cgi?study_id=phs000020 Identification of genomic regions that confer susceptibility to or protection from major depressive disorder (MDD) via genomewide association. *Consent groups and participant set* - Psychiatric and Related Somatic Conditions (PRSC): 3741 (1821 cases, 1822 controls, 98 others)

pht000070.v1.p1

1 Itemgroep 228 Data-elementen

Eligibility

1 Itemgroep 2 Data-elementen

pht000667.v1.p1

1 Itemgroep 2 Data-elementen

dbGaP phs000016 International Multi-Center ADHD Genetics Project - Eligibility

- 20-05-22 - 10 Formulieren, 1 Itemgroep, 9 Data-elementen, 1 Taal
Itemgroep: IG.elig
Principal Investigator: S. Faraone, SUNY Upstate Medical University, Syracuse, NY, USA MeSH: Attention Deficit Disorder with Hyperactivity https://www.ncbi.nlm.nih.gov/projects/gap/cgi-bin/study.cgi?study_id=phs000016 The goal of the project is to complete a 600,000 tag SNP genome-wide association scan of 958 parent-child trios from the International Multisite ADHD Genetics (IMAGE) project, in order to assess the association of SNP markers with ADHD, analyze quantitative ADHD phenotypes, complete copy number analyses, assess parent of origin effects and season of birth effects, and test for epistasis among apparently uncorrelated genes. *Acquiring DNA Samples* All consent forms stipulate that the samples can only be used by researchers who have been approved by the National Institute of Mental Health (NIMH), National Institutes of Health. All consent forms, except those used at the Zürich site (N=141 subjects), explicitly indicate that the samples may be used by researchers from commercial enterprises seeking to benefit financially from the analysis of the samples. The Zürich consent does not prohibit such use. The Zürich consent form also included an "opt out" that allowed the subjects to indicate that they did not want their samples stored at the NIMH repository or used by researchers external to the project. No subjects enrolled in the project opted out. *Consent groups and participant set* - ADHD (ADHD): 2758 (924 trios)

pht000051.v2.p2

1 Itemgroep 60 Data-elementen

pht000052.v2.p2

1 Itemgroep 200 Data-elementen

pht000053.v2.p2

1 Itemgroep 34 Data-elementen

pht000049.v2.p2

1 Itemgroep 25 Data-elementen

pht000050.v2.p2

1 Itemgroep 81 Data-elementen

pht001038.v1.p2

1 Itemgroep 2 Data-elementen

dbGaP phs000048 Mayo-Perlegen LEAPS (Linked Efforts to Accelerate Parkinson's Solutions) Collaboration - Eligibility

- 29-01-25 - 3 Formulieren, 1 Itemgroep, 2 Data-elementen, 1 Taal
Itemgroep: IG.elig
Principal Investigator: Demetrius M. Maraganore, Mayo Clinic, Rochester, MN, USA MeSH: Parkinson Disease https://www.ncbi.nlm.nih.gov/projects/gap/cgi-bin/study.cgi?study_id=phs000048 We performed a two-tiered, whole-genome association study of Parkinson disease (PD). For tier 1, we individually genotyped 198,345 uniformly spaced and informative single-nucleotide polymorphisms (SNPs) in 443 sibling pairs discordant for PD. For tier 2a, we individually genotyped 1,793 PD-associated SNPs (P.01 in tier 1) and 300 genomic control SNPs in 332 matched case-unrelated control pairs. We identified 11 SNPs that were associated with PD (P.01) in both tier 1 and tier 2 samples and had the same direction of effect. For these SNPs, we combined data from the case-unaffected sibling pair (tier 1) and case-unrelated control pair (tier 2) samples and employed a liberalization of the sibling transmission/disequilibrium test to calculate odds ratios, 95% confidence intervals, and P values. A SNP within the semaphorin 5A gene (SEMA5A) had the lowest combined P value (P=7.62E-6). The protein encoded by this gene plays an important role in neurogenesis and in neuronal apoptosis, which is consistent with existing hypotheses regarding PD pathogenesis. A second SNP tagged the PARK11 late-onset PD susceptibility locus (P=1.70E-5). In tier 2b, we also selected for genotyping additional SNPs that were borderline significant (P.05) in tier 1 but that tested a priori biological and genetic hypotheses regarding susceptibility to PD (n=941 SNPs). In analysis of the combined tier 1 and tier 2b data, the two SNPs with the lowest P values (P=9.07E-6; P=2.96E-5) tagged the PARK10 late-onset PD susceptibility locus. Independent replication across populations will clarify the role of the genomic loci tagged by these SNPs in conferring PD susceptibility. Note: The following instruments were used: 1)clinical assessments form and manual; 2) sibling screening form and manual; 3) unrelated control screening and manual; and 4) risk factors questionnaire and manual. All cases underwent #1, as did sibling controls screening positive (see below). Unrelated controls were not examined. All siblings underwent #2. All unrelated controls underwent #3. All subjects (cases, sibling controls, and unrelated controls) underwent #4. Any publications using the data are to cite the original American Journal of Human Genetics article (Maraganore et al., 2005). Investigators using the data collection instruments are to acknowledge Drs. Maraganore and Rocca, and cite grants ES-10751 and NS-33978.

pht000184.v1.p1

1 Itemgroep 6 Data-elementen

pht000071.v1.p1

1 Itemgroep 6 Data-elementen

dbGaP phs001297 PROP Functional and Lymphocytic Markers of Respiratory Morbidity in Hyperoxic Preemies - Dataset pht006199

- 26-06-23 - 4 Formulieren, 1 Itemgroep, 4 Data-elementen, 1 Taal
Itemgroep: pht006199
dbGaP Study Accession: phs001297.v1.p1 NCT01607216 Approximately 550,000 babies born prematurely each year in the United States suffer from birth at a time in development when the respiratory tract and immune system would normally be protected and maintained in a naïve state. This project is a component of the NIH Prematurity and Respiratory Outcomes Program (PROP) whose goals are the identification of disease mechanisms and biomarkers to stratify premature infants, at the time of discharge, for their risk of subsequent pulmonary morbidity. This Clinical Research Center (CRC) project will investigate prematurity-dependent alterations in cellular innate and adaptive immune systems resulting in increased susceptibility to respiratory infections and environmental irritants, and leading to respiratory morbidity in the first year of life. Prior studies have established developmental (maturity) and disease-related changes in circulating and pulmonary lymphocyte populations, but a comprehensive assessment of their relationship to disease risk/outcome has not been undertaken. We hypothesize that cellular and molecular immuno-maturity is altered due to intrinsic and extrinsic factors presented by premature birth in such a way as to reduce resistance to viral infections and to promote cytotoxic damage to the lung. We will evaluate immunologic maturity by comprehensively phenotyping lymphocyte populations in peripheral blood sampled at premature delivery, at the time of discharge from the hospital and at twelve months corrected age. The lymphocytic phenotype will be analyzed particularly in the context of gestational age and maternal-fetal stressors capable of modulating oxidative stress (oxygen exposure, infection and environmental tobacco smoke exposure). Additionally, we will assess changes in the molecular phenotype of isolated CD8 lymphocytes, a cell type preferentially recruited to the lungs of premature infants and capable of contributing to disease pathogenesis, by genome-wide expression profiling, in order to uncover novel disease pathways and define a gene expression signature associated with disease risk. We propose to build a statistical model, using cellular and molecular phenotypes and additional clinical variables, for stratifying risk of lung morbidity within the first year of life. Finally, we will assess the development of the gut microbiome in the preterm subjects to correlate with the observation of development of the adaptive immune system. Study Design: Prospective Longitudinal Cohort Study Type: Observational Longitudinal Prospective Cohort Total number of consented subjects: 277 Acknowledgement Statement: Please cite/reference the use of dbGaP data by including the dbGaP accession phs001297.v1.p1. Additionally, use the following statement to acknowledge the submitter(s) of this study: The datasets used for the analyses described in this manuscript were obtained from dbGaP ( https://www.ncbi.nlm.nih.gov/projects/gap/cgi-bin/study.cgi?study_id=phs001297.v1.p1 ) through dbGaP study accession numbers phs001297.v1.p1 . The data for the study Functional and Lymphocytic Markers of Respiratory Morbidity in Hyperoxic Preemies were provided by Drs. Gloria Pryhuber, Tom Mariani, Steven Gill, Rita Ryan, and Anne Marie Reynolds, University of Rochester and University at Buffalo Center for the Prematurity and Respiratory Outcomes Program (PROP). This study was supported by the U.S. National Institutes of Health (NIH), National Heart, Lung, and Blood Institute (NHLBI) grants U01 HL101813 and U01 HL101794, NHLBI and National Institute of Child Health and Human Development (NICHD) supplement grant R01 HL101794-01S1, National Institute of Allergy and Infectious Diseases (NIAID) contract HHSN272201200005C, and National Center for Advancing Translational Sciences (NCATS) grant UL1 TR000042. Dr. Pryhuber and her collaborators request that publications resulting from these data cite their original publications: Misra RS, Bhattacharya S, Huyck HL, Wang J-C E, Slaunwhite CG, Slaunwhite SL, Wightman TR, Secor- Soch S, Misra SK, Bushnell TP, Reynolds A-M, Ryan RM, Quataert SA, Pryhuber GS, Mariani TJ. Flow-Based Sorting of Neonatal Lymphocyte Populations for Transcriptomics Analysis. J Immunol Methods 2016; 437: 13-20. PMID: 27438473. PMCID in process. (And original microbiome publication to follow, after submission).

Dataset pht006201

1 Itemgroep 10 Data-elementen

Dataset pht006202

1 Itemgroep 27 Data-elementen

Dataset pht006200

1 Itemgroep 5 Data-elementen

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