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- 29/01/2025 - 6 Formulare, 1 Itemgruppe, 4 Datenelemente, 1 Sprache
Itemgruppe: pht005036
Principal Investigator: David Weir, PhD, University of Michigan, Ann Arbor, MI, USA MeSH: Aging,Neoplasms,Arthritis,Lung Diseases, Obstructive,Dementia,Heart Diseases,Heart Failure,Hypertension,Myocardial Infarction,Diabetes Mellitus,Hypercholesterolemia,Obesity,Body Weight,Mobility Limitation,Pain,Cholesterol,Hemoglobin A, Glycosylated,C-Reactive Protein,Cystatin C,Depression,Alcohol Drinking,Smoking,Personality,Life Style,Cognition,Demography,Ethnic Groups,Health Status,Population Groups,Housing,Independent Living,Socioeconomic Factors,Career Mobility,Educational Status,Employment,Family Characteristics,Income,Occupations,Poverty,Social Change,Social Class,Social Conditions,Risk Factors https://www.ncbi.nlm.nih.gov/projects/gap/cgi-bin/study.cgi?study_id=phs000428 *Introduction to V2: *This data release comprises data from the V1 release combined with approximately 3,000 additional samples, collected during the HRS 2010 field period. The 2010 data include samples from a random half of the new cohort enrolled in 2010 along with a significant expansion of the minority sample. *Description:* The University of Michigan Health and Retirement Study (HRS) is a longitudinal panel study that surveys a representative sample of approximately 20,000 people in America over the age of 50 every two years. Supported by the National Institute on Aging (NIA U01AG009740) and the Social Security Administration, the HRS explores the changes in labor force participation and the health transitions that individuals undergo toward the end of their work lives and in the years that follow. The study collects information about income, work, assets, pension plans, health insurance, disability, physical health and functioning, cognitive functioning, and health care expenditures. Through its unique and in-depth interviews, the HRS provides an invaluable and growing body of multidisciplinary data that researchers can use to address important questions about the challenges and opportunities of aging. Because of its innovation and importance, the HRS has become the model and hub for a growing network of harmonized longitudinal aging studies around the world. *Origins of the HRS.* As the population ages it is increasingly important to obtain reliable data about aging and topics that are relevant to a range of policy issues in aging. To address this need, the National Institutes on Aging (NIA) established a cooperative agreement with the University of Michigan Institute for Social Research to collect such data. The HRS launched data collection in 1992 and has re-interviewed the original sample of respondents every two years since then. By adding new cohorts and refreshing the sample, the HRS has grown to become the largest, most representative longitudinal panel study of Americans 50 years and older. *HRS Study Design.* The target population for the original HRS cohort includes all adults in the contiguous United States born during the years 1931-1941 who reside in households, with a 2:1 oversample of African-American and Hispanic populations. The original sample is refreshed with new birth cohorts (51-56 years of age) every six years. The sample has been expanded over the years to include a broader range of birth cohorts as well. The target population for the AHEAD survey consists of United States household residents who were born in 1923 or earlier. Children of the Depression (CODA) recruits households born 1924-1930, War Babies 1942-47, Early Boomers 1948-53, and Mid-Boomers 1954-59. Data collection includes a mixed mode design combining in-person, telephone, mail, and Internet. For consenting respondents, HRS data are linked at the individual level to administrative records from Social Security and Medicare claims. *Genetic Research in the HRS.* The HRS has genotyped 2.5 million single nucleotide polymorphisms (SNPs) on respondents using Illumina's Human Omni2.5-Quad (Omni2.5) BeadChip. The genotyping was performed by the NIH Center for Inherited Disease Research (CIDR). Saliva was collected on half of the HRS sample each wave starting in 2006. In 2006, saliva was collected using a mouthwash collection method. From 2008 onward, the data collection method switched to the Oragene kit. Saliva completion rates were 83% in 2006, 84% in 2008, and 80% in 2010 among new cohort enrollees. HRS Phenotypic data. Phenotypic data are available on a variety of dimensions. Health measures include physical/psychological self-report, various health conditions, disabilities, cognitive performance, health behaviors (smoking, drinking, exercise), physical performance and anthropomorphic measures, and biomarkers (HbA1c, Total Cholesterol, HDL, CRP, Cystatin-C). Data are also available on health services including utilization, insurance and out-of-pocket spending with linkage to Medicare records. Economic measures include employment status/history, earnings, disability, retirement, type of work, income by source, wealth by asset type, capital gains/debt, consumption, linkage to pensions, Social Security earnings/benefit histories. There is also extensive information on family structure, proximity, transfers to/from of money, time, social and psychological characteristics, as well as a wide range of demographics. Performance on a cognitive test combining immediate and delayed word recall was selected as an example trait for the dbGaP data release. In the immediate word recall task the interviewer reads a list of 10 nouns to the respondent and asks the respondent to recall as many words as possible from the list in any order. After approximately five minutes of asking other survey questions, the respondent is asked to recall the nouns previously presented as part of the immediate recall task. The total recall score is the sum of the correct answers to these two tasks, with a range of 0 to 20. Researchers who wish to link to other HRS measures not in dbGaP will be able to apply for access from HRS. A separate Data Use Agreement (DUA) will be required for linkage to the HRS data. See the HRS website (http://hrsonline.isr.umich.edu/gwas) for details.

Eligibility

1 Itemgruppe 6 Datenelemente

pht002612.v2.p2

1 Itemgruppe 4 Datenelemente

pht002613.v2.p2

1 Itemgruppe 5 Datenelemente

pht002614.v2.p2

1 Itemgruppe 7 Datenelemente

pht005037.v1.p2

1 Itemgruppe 5 Datenelemente
- 02/03/2023 - 4 Formulare, 1 Itemgruppe, 2 Datenelemente, 1 Sprache
Itemgruppe: pht009154
Principal Investigator: Laura T. Donlin, PhD, Hospital for Special Surgery, New York, NY, USA MeSH: Arthritis, Rheumatoid,Arthritis https://www.ncbi.nlm.nih.gov/projects/gap/cgi-bin/study.cgi?study_id=phs001340 Macrophages tailor their function according to the signals found in tissue microenvironments, assuming a wide spectrum of phenotypes. A detailed understanding of macrophage phenotypes in human tissues is limited. Using single-cell RNA sequencing, we defined distinct macrophage subsets in the joints of patients with the autoimmune disease rheumatoid arthritis (RA), which affects ~1% of the population. The subset we refer to as HBEGF+ inflammatory macrophages is enriched in RA tissues and is shaped by resident fibroblasts and the cytokine tumor necrosis factor (TNF). These macrophages promoted fibroblast invasiveness in an epidermal growth factor receptor-dependent manner, indicating that intercellular cross-talk in this inflamed setting reshapes both cell types and contributes to fibroblast-mediated joint destruction. In an ex vivo synovial tissue assay, most medications used to treat RA patients targeted HBEGF+ inflammatory macrophages; however, in some cases, redirecting them into a state is not expected to resolve inflammation. These data highlight how advances in our understanding of chronically inflamed human tissues and the effects of medications therein can be achieved by studies on local macrophage phenotypes and intercellular interactions. Reprinted from Kuo, Ding et al., Science Translational Medicine 2019, PMID: 31068444, with permission from American Association for the Advancement of Science.

pht009155.v1.p1

1 Itemgruppe 2 Datenelemente

pht009156.v1.p1

1 Itemgruppe 2 Datenelemente

pht009157.v1.p1

1 Itemgruppe 6 Datenelemente
- 25/02/2023 - 3 Formulare, 1 Itemgruppe, 2 Datenelemente, 1 Sprache
Itemgruppe: pht006544
Principal Investigator: Lionel B. Ivashkiv, MD, Hospital for Special Surgery, New York, NY, USA MeSH: Arthritis, Rheumatoid,Arthritis https://www.ncbi.nlm.nih.gov/projects/gap/cgi-bin/study.cgi?study_id=phs001371 During rheumatoid arthritis (RA), TNF activates fibroblast-like synoviocytes (FLS) inducing in a temporal order a constellation of genes, which perpetuate synovial inflammation. Although the molecular mechanisms regulating TNF-induced transcription are well characterized, little is known about the impact of mRNA stability on gene expression and the impact of TNF on decay rates of mRNA transcripts in FLS. To address these issues we performed RNA sequencing and genome-wide analysis of the mRNA stabilome in RA FLS. We found that TNF induces a biphasic gene expression program: initially, the inducible transcriptome consists primarily of unstable transcripts but progressively switches and becomes dominated by very stable transcripts. This temporal switch is due to: a) TNF-induced prolonged stabilization of previously unstable transcripts that enables progressive transcript accumulation over days and b) sustained expression and late induction of very stable transcripts. TNF- induced mRNA stabilization in RA FLS occurs during the late phase of TNF response, is MAPK-dependent, and involves several genes with pathogenic potential such as IL6, CXCL1, CXCL3, CXCL8/IL8, CCL2, and PTGS2. These results provide the first insights into genome-wide regulation of mRNA stability in RA FLS and highlight the potential contribution of dynamic regulation of the mRNA stabilome by TNF to chronic synovitis.

pht006545.v1.p1

1 Itemgruppe 3 Datenelemente

pht006546.v1.p1

1 Itemgruppe 6 Datenelemente
- 30/04/2020 - 1 Formular, 2 Itemgruppen, 26 Datenelemente, 1 Sprache
Itemgruppen: Administrative Data, Patient-Reported Health and Wellbeing
INFLAMMATORY ARTHRITIS DATA COLLECTION Version 1.0.0 Revised: April 27 th, 2018 www.ichom.org Notice: This work was conducted using resources from ICHOM, the International Consortium for Health Outcomes Measurement (www.ICHOM.org). The content is solely the responsibility of the authors and does not necessarily represent the official views of ICHOM. Conditions: Rheumatoid Arthritis | Psoriatic Arthritis | Ankylosing Spondylitis | Juvenile Idiopathic Arthritis This ODM-file contains Patient-reported Variables to be administered at baseline visit and annually. The following scores are the ones that are integrated into the standard set. There are alternatives for each category: see questionnaire or data collection guide. PAIN: - Numerical Rating Scale (Adult/Paediatric) FATIGUE - Numerical rating Scale (Adult/Paediatric) ACTIVITY LIMITATION: - HAQ-II* (Adult): copyright FORWARD-The National Data Bank for Rheumatic Diseases, arthritis-research.org ; http://bit.ly/HAQIIIA ; Wolfe F, Michaud K, Pincus T. Development and validation of the health assessment questionnaire II: a revised version of the health assessment questionnaire. Arthritis & Rheumatism. 2004;50(10):3296-305. OVERALL EMOTIONAL AND PHYSICAL HEALTH IMPACT - Numerical rating scale (Adult/Paediatric) WORK/SCHOOL/HOUSEWORK ABILITY AND PRODUCTIVITY: - WPAI (Adult): reillyassociates.net/WPAI_General.html, they ask to inform them about publication or presentation of WPAI-data ICHOM was supported for the Inflammatory Arthritis Standard Set by Santeon, Arthritis Research UK, TiH Transparency in Healthcare, Maasstad Ziekenhuis, Karolinska Universitetssjukhuset and Sheba Academic Medical Center Hospital. Publication: Oude Voshaar MAH, Das Gupta Z, Bijlsma JWJ, et al. International Consortium for Health Outcome Measurement Set of Outcomes That Matter to People Living With Inflammatory Arthritis: Consensus From an International Working Group. Arthritis Care Res (Hoboken). 2019;71(12):1556‐1565. doi:10.1002/acr.23799 For this version of the standard set, semantic annotation with UMLS CUIs has been added.
- 30/04/2020 - 1 Formular, 2 Itemgruppen, 4 Datenelemente, 1 Sprache
Itemgruppen: Administrative Data, Treatment-Specific
INFLAMMATORY ARTHRITIS DATA COLLECTION Version 1.0.0 Revised: April 27 th, 2018 www.ichom.org Notice: This work was conducted using resources from ICHOM, the International Consortium for Health Outcomes Measurement (www.ICHOM.org). The content is solely the responsibility of the authors and does not necessarily represent the official views of ICHOM. Conditions: Rheumatoid Arthritis | Psoriatic Arthritis | Ankylosing Spondylitis | Juvenile Idiopathic Arthritis This ODM-file contains Clinical Variables to be administered at baseline visit and every 6 months if the disease is active or annually if the disease is in remission. The following scores are the ones that are integrated into the standard set. There are alternatives for each category: see questionnaire or data collection guide. PAIN: - Numerical Rating Scale (Adult/Paediatric) FATIGUE - Numerical rating Scale (Adult/Paediatric) ACTIVITY LIMITATION: - HAQ-II* (Adult): copyright FORWARD-The National Data Bank for Rheumatic Diseases, arthritis-research.org ; http://bit.ly/HAQIIIA ; Wolfe F, Michaud K, Pincus T. Development and validation of the health assessment questionnaire II: a revised version of the health assessment questionnaire. Arthritis & Rheumatism. 2004;50(10):3296-305. OVERALL EMOTIONAL AND PHYSICAL HEALTH IMPACT - Numerical rating scale (Adult/Paediatric) WORK/SCHOOL/HOUSEWORK ABILITY AND PRODUCTIVITY: - WPAI (Adult): reillyassociates.net/WPAI_General.html, they ask to inform them about publication or presentation of WPAI-data ICHOM was supported for the Inflammatory Arthritis Standard Set by Santeon, Arthritis Research UK, TiH Transparency in Healthcare, Maasstad Ziekenhuis, Karolinska Universitetssjukhuset, and Sheba Academic Medical Center Hospital. Publication: Oude Voshaar MAH, Das Gupta Z, Bijlsma JWJ, et al. International Consortium for Health Outcome Measurement Set of Outcomes That Matter to People Living With Inflammatory Arthritis: Consensus From an International Working Group. Arthritis Care Res (Hoboken). 2019;71(12):1556‐1565. doi:10.1002/acr.23799 For this version of the standard set, semantic annotation with UMLS CUIs has been added.
- 30/04/2020 - 1 Formular, 3 Itemgruppen, 31 Datenelemente, 1 Sprache
Itemgruppen: Administrative Data, Baseline Condition Factors, Treatment-Specific
INFLAMMATORY ARTHRITIS DATA COLLECTION Version 1.0.0 Revised: April 27 th, 2018 www.ichom.org Notice: This work was conducted using resources from ICHOM, the International Consortium for Health Outcomes Measurement (www.ICHOM.org). The content is solely the responsibility of the authors and does not necessarily represent the official views of ICHOM. Conditions: Rheumatoid Arthritis | Psoriatic Arthritis | Ankylosing Spondylitis | Juvenile Idiopathic Arthritis This ODM-file contains Clinical Variables to be administered at baseline visit and (a large number of the variables) annually. The following scores are the ones that are integrated into the standard set. There are alternatives for each category: see questionnaire or data collection guide. PAIN: - Numerical Rating Scale (Adult/Paediatric) FATIGUE - Numerical rating Scale (Adult/Paediatric) ACTIVITY LIMITATION: - HAQ-II* (Adult): copyright FORWARD-The National Data Bank for Rheumatic Diseases, arthritis-research.org ; http://bit.ly/HAQIIIA ; Wolfe F, Michaud K, Pincus T. Development and validation of the health assessment questionnaire II: a revised version of the health assessment questionnaire. Arthritis & Rheumatism. 2004;50(10):3296-305. OVERALL EMOTIONAL AND PHYSICAL HEALTH IMPACT - Numerical rating scale (Adult/Paediatric) WORK/SCHOOL/HOUSEWORK ABILITY AND PRODUCTIVITY: - WPAI (Adult): reillyassociates.net/WPAI_General.html, they ask to inform them about publication or presentation of WPAI-data ICHOM was supported for the Inflammatory Arthritis Standard Set by Santeon, Arthritis Research UK, TiH Transparency in Healthcare, Maasstad Ziekenhuis, Karolinska Universitetssjukhuset and Sheba Academic Medical Center Hospital. Publication: Oude Voshaar MAH, Das Gupta Z, Bijlsma JWJ, et al. International Consortium for Health Outcome Measurement Set of Outcomes That Matter to People Living With Inflammatory Arthritis: Consensus From an International Working Group. Arthritis Care Res (Hoboken). 2019;71(12):1556‐1565. doi:10.1002/acr.23799 For this version of the standard set, semantic annotation with UMLS CUIs has been added.

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