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German Center for Diabetes Research (DZD) - Core Data Set - Base set

- 7/15/24 - 2 forms, 8 itemgroups, 147 items, 2 languages
Itemgroups: IG.1, IG.2, IG.3, IG.4, IG.5, IG.6, IG.7, Fragebogen
The German Center for Diabetes Research (DZD) has created a core data set for research on diabetes. It is published with permission by the DZD. The complete metadata and SOP are registered at DOI 10.5281/zenodo.7360000 For more information on the work of the DZD see: www.dzd-ev.de/en or contact: studien@dzd-ev.de German Center for Diabetes Research (DZD) Head Office at Helmholtz Zentrum München Ingolstädter Landstr. 1 85764 Neuherberg, Germany The German and English version of the Baecke Questionnaire in this core data set is based on the original paper by Baecke et al (https://doi.org/10.1093/ajcn/36.5.936), redistributed by ten Velde et al. (https://doi.org/10.1371/journal.pone.0256448), and the German translation and modification by Wagner & Singer (2003). The questionnaire was selectively modified by the German Diabetes Center (DDZ). Changes in this version 4 (15.07.2024) compared to version 3 (26.02.2024) include the addition of the parameters defined in the core data set of the German Centers for Health Research (DZG) (ID of MDM entry: 45851), the addition of laterality-specific blindness and an update of the terminology coding. The coding of the DZG parameters is currently under revision and not included in this current version. The coding of those DZG parameters that were already included in the DZD CDS will be provisionally retained.

Optional Set

3 itemgroups 46 items

dbGaP phs000949 Genetic Analysis of Normal Human Facial Variation - pht005226.v1.p1

- 2/7/24 - 6 forms, 1 itemgroup, 4 items, 1 language
Itemgroup: pht005226
Principal Investigator: Seth M. Weinberg, PhD, University of Pittsburgh, Pittsburgh, PA, USA MeSH: Anthropometry,Cephalometry,Head,Face,Imaging, Three-Dimensional,Stereophotogrammetry https://www.ncbi.nlm.nih.gov/projects/gap/cgi-bin/study.cgi?study_id=phs000949 The purpose of this project is to identify genes associated with normal human quantitative facial variation. The motivation for this project stems from the fact that very little is known about how variation in specific genes relates to the diversity of facial forms commonly observed in humans. Viable candidates for these morphogenes originate from a number of sources: tissue expression studies, animal models with targeted or spontaneous mutations, and genetic syndromes with craniofacial manifestations. Importantly, understanding the genetic basis for normal facial variation also has important implications for health-related research. For example, this work has the potential to shed light on the factors influencing liability to common craniofacial anomalies such as orofacial clefts. There is now ample evidence that certain facial features (e.g., increased midfacial retrusion) characterize individuals genetically at-risk for orofacial clefts (e.g., biological relatives of affected cases). While these predisposing facial features are statistically over-represented in at-risk groups, they are also common in the general population. Since many of the current candidate genes for clefting are thought to play a critical role in facial morphogenesis, variation in these genes may also underlie normal variation in these facial features. These candidate genes, however, probably represent only a small fraction of the total number of loci influencing normal human facial variation. Phenotypes for this project were obtained from over 3000 healthy Caucasian subjects recruited through three separate studies. The majority of the subjects were recruited as part of the 3D Facial Norms Project, which is described in extensive detail here: (https://www.facebase.org/facial_norms/notes). The provided dbGaP phenotypes include a series of anthropometric craniofacial measurements (linear distances) primarily derived from 3D photographic facial surface scans (see previous hyperlink). The specific genotyping requested is described elsewhere in this document. Our analysis team is pursuing a variety of different analytic approaches to derive genetically informative phenotypes, including various shape-based morphometric methods. For those interested in pursuing more advanced phenotypic approaches, the original 3D surface scans and additional phenotypic traits are available to researchers through the FaceBase Consortium. This dataset has the potential to facilitate the discovery of new genetic loci with an important role in both normal and abnormal facial development. It may also serve as a dataset to test hypotheses regarding specific SNP associations (e.g. as a replication dataset) or as part of a larger meta-analysis.

pht005225.v1.p1

1 itemgroup 70 items

pht005222.v1.p1

1 itemgroup 4 items

pht005223.v1.p1

1 itemgroup 5 items

pht005224.v1.p1

1 itemgroup 5 items

Eligibility

1 itemgroup 22 items

dbGaP phs000360 eMERGE Network Combined Dataset - Eligibility

- 10/12/22 - 7 forms, 1 itemgroup, 10 items, 1 language
Itemgroup: IG.elig
Principal Investigator: Rex Chisholm, PhD, Northwestern University, Evanston, IL, USA MeSH: Electronic Health Records,Hematologic Diseases,Chronic Disease,Anthropometry,Lipids,Diabetic Retinopathy,Hypothyroidism https://www.ncbi.nlm.nih.gov/projects/gap/cgi-bin/study.cgi?study_id=phs000360 The **e**lectronic **M**edical **R**ecords and **Ge**nomics (eMERGE) Network is a consortium of five participating sites (Group Health Seattle, Marshfield Clinic, Mayo Clinic, Northwestern University, and Vanderbilt University) funded by the NHGRI to investigate the use of electronic medical record systems for genomic research. The goal of eMERGE is to conduct genome-wide association studies in approximately 19,000 individuals using EMR-derived phenotypes and DNA from linked Biorepositories. Using electronic phenotyping methods, the consortium used DNA samples from all participating sites to explore the genetic determinants of red cell indices, white blood count (WBC) differential, diabetic retinopathy, height, serum lipid levels, specifically total cholesterol, HDL (high density lipoprotein), LDL (low density lipoprotein), and triglycerides, and autoimmune hypothyroidism as well as using the phenome-wide association study (PheWAS) paradigm to replicate and discover relationships between targeted genotypes with multiple phenotypes. eMERGE led studies for which original genotyping was performed and are included in this merged set: - Genome-Wide Association Study on Cataract and HDL in the Personalized Medicine Research Project Cohort, phs000170 - Development and Use of Network Infrastructure for High-Throughput GWA Studies, phs000234 - Vanderbilt Genome-Electronic Records (VGER) Project: QRS Duration, phs000188 - Northwestern NUgene Project: Type 2 Diabetes, phs000237 - A Genome-Wide Association Study of Peripheral Arterial Disease, phs000203 Sites and participants include: *Vanderbilt University:* BioVU, Vanderbilt's DNA databank, is an enabling resource for exploration of the relationships among genetic variation, disease susceptibility, and variable drug responses, and represents a key first step in moving the emerging sciences of genomics and pharmacogenomics from research tools to clinical practice. BioVU acquires DNA from discarded blood samples collected from routine patient care. The biobank is linked to de-identified clinical data extracted from Vanderbilt's EMR, which forms the basis for phenotype definitions used in genotype-phenotype correlations. *Marshfield Clinic:* The Marshfield Clinic Personalized Medicine Research Project is a population-based biobank in central Wisconsin with more than 20,000 adult subjects who provided written, informed consent to access their medical records and provided a blood sample from which DNA was extracted and plasma and serum stored. In addition to an average of 30 years of medical history data, a questionnaire about environmental exposures, including a detailed food frequency questionnaire, is available to facilitate gene/environment studies. *Northwestern University:* The NUgene Project is a repository with longitudinal medical information from participating patients at affiliated hospitals and outpatient clinics from the Northwestern University Medical Center. Participants' DNA samples are coupled with data from a self-reported questionnaire and continuously updated data from our Electronic Medical Record (EMR) representing actual clinical care events. Northwestern has a state-of-the art, comprehensive inpatient and outpatient EMR system of over 2 million patients. NUgene has broad access to participant data for all outpatient visits as well as inpatient data via a consolidated data warehouse. NUgene participants consent to distribution and use of their coded DNA samples and data for a broad range of genetic research by third-party investigators. *Group Health(GH)/University of Washington (UW):* Aging and Dementia eMERGE study biorepository leverages rich population-based longitudinal data from both electronic medical records and in-depth research data to explore genome wide associations. Participants include Seattle-area members of GH (a large integrated health care system in Washington State) consented and enrolled in 1) the UW Alzheimer's Disease Patient Registry (ADPR) and 2) the Adult Changes in Thought (ACT) study. The ADPR (PI: Eric B. Larson; NIH/NIA U01 AG 006781) is a population-based registry of incident dementia cases designed to identify all new Alzheimer's Disease cases within GH from 1987 to 1996. Medical history, physical, laboratory testing, and neuropsychological testing were performed on all consenting potential cases for determination of dementia status by a consensus conference. The study base of the ADPR population was stable with an attrition rate of less than 1%/year. The ACT study (PI: Eric B. Larson; NIH/NIA U01 AG 006781) is an ongoing community-based cohort study of aging and dementia. The original cohort of 2,581 randomly selected dementia-free members age 65 and older was enrolled in 1994-1996 and expanded by 811 in 2000-2002. Continuous enrollment to maintain a cohort of 2,000 dementia free persons began in 2005. Participants receive biennial assessment including cognitive status determination. The ACT sub-sample is stable; for the original cohort, median enrollment in GH was 19 years prior to joining the ACT study, and 85% of the cohort has ≥10 years of GH enrollment. DNA for the ADPR participants were obtained through a companion study, Genetic Differences in Cases and Controls (PI: Walter Kukull; NIH/NIA R01 AG007584). DNA obtained through both studies were extracted from blood using Gentra Systems Puregene methods. DNA concentration is determined by UV optical density. All samples are checked for quality by 260/280 ratio. For long-term storage, samples are aliquoted and stored at -70°C. *Mayo Clinic:* The Mayo biobank is a disease-specific biobank for vascular diseases including peripheral arterial disease (PAD). PAD patients were identified from individuals referred to the non-invasive vascular laboratory for lower extremity arterial evaluation. Since 1997, laboratory findings have been recorded into an electronic database employing an in-house software package for data archiving and retrieval; this data becomes part of the Mayo EMR. Patients referred to the center with suspected PAD undergo a comprehensive non-invasive evaluation including the ankle-brachial index (ABI) - the ratio of blood pressure measured in the upper arms divided by blood pressure measured at the ankles. Controls subjects are identified from patients referred to the Cardiovascular Health Clinic for stress ECG. The prevalence of PAD in patients with normal exercise capacity who do not have inducible ischemia on the stress ECG, was 1%. Data regarding risk factors for atherosclerosis such as diabetes, dyslipidemia, hypertension, and smoking are ascertained from the EMR.

pht003252.v2.p1

1 itemgroup 6 items

pht003251.v2.p1

1 itemgroup 4 items

pht003253.v2.p1

1 itemgroup 6 items

pht003256.v2.p1

1 itemgroup 2 items

pht003254.v3.p1

1 itemgroup 3 items

pht003255.v2.p1

1 itemgroup 73 items

Anthropometrics Cardiovascular Health Study (CHS)

- 7/14/16 - 1 form, 2 itemgroups, 8 items, 1 language
Itemgroups: Anthropometry, Date of interview
Documentation part: Record 13 Anthropometrics The Cardiovascular Health Study (CHS) was initiated by the National Heart, Lung and Blood Institute (NHLBI) in 1987 to determine the risk factors for development and progression of cardiovascular disease (CVD) in older adults, with an emphasis on subclinical measures. The study recruited 5,888 adults aged 65 or older at entry in four U.S. communities and conducted extensive annual clinical exams between 1989-1999 along with semi-annual phone calls, events adjudication, and subsequent data analyses and publications. Additional data were collected by studies ancillary to CHS. With the exception of annual clinic visits, these activities are still ongoing. Data obtained from: https://chs-nhlbi.org/ Permission granted by: Erika Enright.

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