Type 2 Diabetes Starr County GWAS and Exome Sequencing
Ontology highlight
ABSTRACT: The T2D Seq GWAS Starr County Cohort is utilized in the following dbGaP sub-studies. To view genotypes, other molecular data, and derived variables collected in these sub-studies, please click on the following sub-studies below or in the "Sub-studies" section of this top-level study page phs001166 T2D Seq GWAS Starr County Cohort.
SECONDARY ACCESSION(S): PRJNA328292PRJNA328293
REPOSITORIES: dbGaP
Similar Datasets
Project description:<p><b>The T2D Seq GWAS AA Cohort is utilized in the following dbGaP sub-studies.</b> To view genotypes, other molecular data, and derived variables collected in these sub-studies, please click on the following sub-studies below or in the "Sub-studies" box located on the right hand side of this top-level study page <a href="study.cgi?study_id=phs001167">phs001167</a> T2D Seq GWAS AA Cohort. <ul> <li><a href="study.cgi?study_id=phs000140">phs000140</a> CIDR T2D Bowdens</li> <li><a href="study.cgi?study_id=phs001102">phs001102</a> T2D GENES AA</li> </ul> </p>
| phs001167 | dbGaP
Project description:<p>The Atherosclerosis Risk in Communities (ARIC) Study, sponsored by the National Heart, Lung and Blood Institute (NHLBI), is a prospective epidemiologic study conducted in four U.S. communities. The four communities are Forsyth County, NC; Jackson, MS; the northwest suburbs of Minneapolis, MN; and Washington County, MD. ARIC is designed to investigate the etiology and natural history of atherosclerosis, the etiology of clinical atherosclerotic diseases, and variation in cardiovascular risk factors, medical care and disease by race, gender, location, and date.</p> <p>ARIC includes two parts: the Cohort Component and the Community Surveillance Component. The Cohort Component began in 1987, and each ARIC field center randomly selected and recruited a cohort sample of approximately 4,000 individuals aged 45-64 from a defined population in their community. A total of 15,792 participants received an extensive examination, including medical, social, and demographic data. These participants were examined with the baseline visit occurring in 1987-89, the second visit in 1990-92, the third visit in 1993-95, the fourth visit in 1996-98, and the fifth visit in 2011-13. Follow-up occurs yearly by telephone to maintain contact with participants and to assess health status of the cohort. </p> <p>In the Community Surveillance Component, these four communities were investigated to determine the community-wide occurrence of hospitalized myocardial infarction and coronary heart disease deaths in men and women aged 35-84 years. Hospitalized stroke is investigated in cohort participants only. Starting in 2006, the study conducted community surveillance of inpatient (ages 55 years and older) and outpatient heart failure (ages 65 years and older) for heart failure events beginning in 2005. Community Surveillance for non-cohorts ended in event year 2014.</p> <p>ARIC is currently funded through October 31, 2021.</p> <p><b>The ARIC Cohort is utilized in the following dbGaP sub-studies.</b> To view genotypes, other molecular data, and derived variables collected in these sub-studies, please click on the following sub-studies below or in the "Sub-studies" box located on the right hand side of this top-level study page <a href="study.cgi?study_id=phs000280">phs000280</a> ARIC Cohort. <ul> <li><a href="study.cgi?study_id=phs000557">phs000557</a> ARIC_CARe</li> <li><a href="study.cgi?study_id=phs000090">phs000090</a> GENEVA_ARIC</li> <li><a href="study.cgi?study_id=phs000223">phs000223</a> PAGE_CALiCo_ARIC</li> <li><a href="study.cgi?study_id=phs000398">phs000398</a> GO-ESP: HeartGo_ARIC</li> <li><a href="study.cgi?study_id=phs000668">phs000668</a> CHARGE_ARIC</li> <li><a href="study.cgi?study_id=phs000860">phs000860</a> MICORTEX</li> </ul> </p>
| phs000280 | dbGaP
Project description:<p>The Jackson Heart Study (JHS) is a large, community-based, observational study whose participants were recruited from urban and rural areas of the three counties (Hinds, Madison and Rankin) that make up the Jackson, MS metropolitan statistical area (MSA). Participants were enrolled from each of 4 recruitment pools: random, 17%; volunteer, 30%; currently enrolled in the Atherosclerosis Risk in Communities (ARIC) Study, 31% and secondary family members, 22%. The final cohort of 5,306 participants included 6.59% of all African American Jackson MSA residents aged 35-84 during the baseline exam (N-76,426, US Census 2000). Among these, approximately 3,600 gave consent that allows genetic research and deposition of data into dbGaP. Major components of three clinic examinations (Exam 1 - 2000-2004; Exam 2 - 2005-2008; Exam 3 - 2009-2013) include medical history, physical examination, blood/urine analytes and interview questions on areas such as: physical activity; stress, coping and spirituality; racism and discrimination; socioeconomic position; and access to health care. Extensive clinical phenotyping includes anthropometrics, electrocardiography, carotid ultrasound, ankle-brachial blood pressure index, echocardiography, CT chest and abdomen for coronary and aortic calcification, liver fat, and subcutaneous and visceral fat measurement, and cardiac MRI. At 12-month intervals after the baseline clinic visit (Exam 1), participants have been contacted by telephone to: update information; confirm vital statistics; document interim medical events, hospitalizations, and functional status; and obtain additional sociocultural information. Questions about medical events, symptoms of cardiovascular disease and functional status are repeated annually. Ongoing cohort surveillance includes abstraction of medical records and death certificates for relevant International Classification of Diseases (ICD) codes and adjudication of nonfatal events and deaths. CMS data are currently being incorporated into the dataset.</p> <p>A note regarding date variables warehoused in the Jackson Heart Study (JHS) Cohort on dbGaP: The coordinating center has developed an algorithm that will systematically review and de-identify any of the (nearly 100) date-related variable types stored in the data package. To simultaneously minimize (i) de-identifiability of the data and (ii) impact on analyses utilizing sensitive data elements, a participant-level random number was generated to avoid the necessity of sharing any potentially sensitive data. The coordinating center maintains an archived linkage of these data in their raw form and regularly reviews ad hoc requests to utilize the raw data on a project-by-project basis.</p> <p><b>The JHS Cohort is utilized in the following dbGaP sub-studies.</b> To view genotypes, other molecular data, and derived variables collected in these sub-studies, please click on the following sub-studies below or in the "Sub-studies" box located on the right hand side of this top-level study page <a href="./study.cgi?study_id=phs000286">phs000286</a> JHS Cohort. <ul> <li><a href="./study.cgi?study_id=phs000402">phs000402</a> HeartGO JHS</li> <li><a href="./study.cgi?study_id=phs000498">phs000498</a> JHS Allelic Spectrum Seq</li> <li><a href="./study.cgi?study_id=phs000499">phs000499</a> JHS CARe</li> <li><a href="./study.cgi?study_id=phs001098">phs001098</a> T2D GENES Exome Seq</li> <li><a href="./study.cgi?study_id=phs001069">phs001069</a> MIGen JHS</li> <li><a href="./study.cgi?study_id=phs001356">phs001356</a> Exome Chip</li> </ul> </p>
| phs000286 | dbGaP
Project description:This SuperSeries is composed of the SubSeries listed below. The raw sequencing data is available through dbGaP (controlled access) due to patient privacy concerns. https://www.ncbi.nlm.nih.gov/projects/gap/cgi-bin/study.cgi?study_id=phs001961.v1.p1
2020-11-23 | GSE161383 | GEO
Project description:We performed RRBS and WGBS on primary human chronic lymphocytic leukemia and normal healthy donor B cell samples Due to patient privacy concerns, the raw data is being made available via controlled access in dbGaP (http://www.ncbi.nlm.nih.gov/projects/gap/cgi-bin/study.cgi?study_id=phs000435.v1.p1).
2015-01-01 | GSE58889 | GEO
Project description:We performed RRBS and WGBS on primary human chronic lymphocytic leukemia and normal healthy donor B cell samples Due to patient privacy concerns, the raw data is being made available via controlled access in dbGaP (http://www.ncbi.nlm.nih.gov/projects/gap/cgi-bin/study.cgi?study_id=phs000435.v1.p1). cross-sectional/longitudinal
2015-01-01 | E-GEOD-58889 | biostudies-arrayexpress
Project description:<p>For the NIH Roadmap Epigenomics project, we applied ChlP-Seq, HTBS and WGBS pipelines to generate comprehensive high-resolution maps of chromatin state and DNA methylation for 100 diverse cell types. Cell types were selected for their biological and medical importance, and for their potential to maximize the comprehensiveness of acquired epigenomic data. They include human ES cells, ES-derived cells, mesenchymal stem cells, reprogrammed stem cells and primary tissues. Comprehensive characterization of epigenetic marks ("the epigenome") is a critical step towards a global understanding of the human genome in health and disease. In this study we provide unprecedented views of the human epigenetic landscape and its variation across cell states, which offer fundamental insight into the functions and interrelationships of epigenetic marks, and provide a framework for future studies of normal and diseased epigenomes.</p> <p><b>The Roadmap Epigenomics Broad cohort is utilized in the following dbGaP sub-study.</b> To view molecular data and derived variables collected in this sub-study, please click on the following sub-study below or in the "Sub-studies" box located on the right hand side of this top-level study page <a href="study.cgi?study_id=phs000700">phs000700</a> the Roadmap Epigenomics Broad cohort. <ul> <li><a href="study.cgi?study_id=phs000610">phs000610</a> RM_Epigenomics_Broad_Alz</li> </ul> </p>
| phs000700 | dbGaP
Project description:<p>The Pediatric Investigation for Genetic Factors Associated with Renal Progression (PediGFR) (RO1-DK082394) is an international collaborative study among three large prospective cohort studies of children with chronic kidney disease. The participating parent cohort studies are the Chronic Kidney Disease in Children (CKiD), the Effect of Strict Blood Pressure Control and ACE Inhibition on CRF Progression in Pediatric Patients (ESCAPE), and the Cardiovascular Comorbidity in Children with Chronic Kidney Disease (4C) study. In these cohorts, pediatric subjects with CKD have been prospectively followed with standardized measurements for renal progression. The dbGaP data upload will utilize the structure of sub-studies to include the genotype and baseline phenotype for the three cohorts, as well as the RBC trait and anemia data for a sub-study under PI Susan Furth: Role of Genetic Variation in the Anemia of Chronic Kidney Disease (K24DK078737). </p> <p>In brief PediGFR is a prospective study of children with chronic kidney disease (CKD) to determine genetic factors associated with kidney function measured by the estimated glomerular filtration rate (eGFR) by Schwartz equation.</p> <p><b>The PediGFR_v2 Cohort is utilized in the following dbGaP sub-studies.</b> To view genotypes, other molecular data, and derived variables collected in these sub-studies, please click on the following sub-studies below or in the "Sub-studies" box located on the right hand side of this top-level study page <a href="study.cgi?study_id=phs000842">phs000842</a> PediGFR_v2 Cohort. <ul> <li><a href="study.cgi?study_id=phs000843">phs000843</a> 4C</li> <li><a href="study.cgi?study_id=phs000650">phs000650</a> CKiD</li> <li><a href="study.cgi?study_id=phs000844">phs000844</a> ESCAPE</li> </ul> </p>
| phs000842 | dbGaP
Project description:<p>Within the framework of the International Lymphoma Epidemiology Consortium (InterLymph) Consortium and NCI-sponsored Cohort Consortium, investigators from 22 studies came together to conduct a genome-wide association study (GWAS) of non-Hodgkin lymphoma (NHL). The goal of the study was to identify common genetic variants associated with the risk of NHL. As described previously (Berndt SI et al., Nature Genetics, 2013, PMID: <a href="http://www.ncbi.nlm.nih.gov/pubmed/?term=23770605">23770605</a> ), cases and controls from 22 studies, including nine prospective cohort studies, eight population-based case-control studies, and five clinic or hospital-based case-control studies were included in this effort. Cases of NHL were ascertained from cancer registries, clinics or hospitals, or through self-report verified by medical and pathology reports. The phenotype information for all NHL cases was reviewed centrally at the InterLymph Data Coordinating Center and harmonized according to the hierarchical classification proposed by the InterLymph Pathology Working Group based on the World Health Organization (WHO) classification (2008). Controls were frequency matched to cases on age and gender by study, and the study was limited to subjects of European ancestry. Participants were genotyped using the Illumina Omni Express.</p> <p><b>The NCI Non-Hodgkin Lymphoma GWAS is utilized in the following dbGaP sub-studies.</b> To view genotypes and derived variables collected in these sub-studies, please click on the following sub-studies below or in the "Sub-studies" box located on the right hand side of this top-level study page <a href="study.cgi?study_id=phs000801">phs000801</a> NCI Non-Hodgkin Lymphoma GWAS. <ul> <li><a href="study.cgi?study_id=phs000802">phs000802</a> NCI Non-Hodgkin Lymphoma GWAS: CLL</li> <li><a href="study.cgi?study_id=phs000818">phs000818</a> NCI Non-Hodgkin Lymphoma GWAS: Controls</li> <li><a href="study.cgi?study_id=phs000889">phs000889</a> NCI Non-Hodgkin Lymphoma GWAS: DLBCL</li> <li><a href="study.cgi?study_id=phs000890">phs000890</a> NCI Non-Hodgkin Lymphoma GWAS: FL</li> <li><a href="study.cgi?study_id=phs000891">phs000891</a> NCI Non-Hodgkin Lymphoma GWAS: MZL</li> </ul> </p>
| phs000801 | dbGaP