Identification and Analysis of Causal Variants: Follow-Up on Genome-Wide Association Studies for Arthritis and Musculoskeletal and Skin Diseases (R21)
Sector: Government • Location: United States of America
Source: Grants.gov
This Funding Opportunity Announcement (FOA), issued by the National Institute of Arthritis and Musculoskeletal and Skin Diseases, National Institutes of Health, encourages applications that are exploratory/developmental and highly innovative in nature, and aim to characterize the genetic variations in human genomic regions that have been putatively associated with complex diseases relevant to the
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Company | Obfuscated Data |
Status
Original status | archived |
Taiyo status | Obfuscated Data |
Taiyo last update | 00-00-0000 |
Available timestamps | 00-00-0000 |
Available timestamp type | Obfuscated Data |
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Description
Description | This Funding Opportunity Announcement (FOA), issued by the National Institute of Arthritis and Musculoskeletal and Skin Diseases, National Institutes of Health, encourages applications that are exploratory/developmental and highly innovative in nature, and aim to characterize the genetic variations in human genomic regions that have been putatively associated with complex diseases relevant to the NIAMS mission. The purpose is to accelerate the discovery of causal genes and variants that influence the risk for disease; and conduct follow-up studies of particular genetic variants to gain novel insights into the functions of these variants and the mechanisms by which they may contribute to disease. Genomic regions of interest are primarily those identified by genome-wide association studies (GWAS) although other types of evidence may also inform the rationale for a given study. These studies are essential for the translation of initial GWAS finding into biological insights, and ultimately important for improving our understanding of the molecular mechanisms of disease that could lead to predictive, diagnostic, and therapeutic advances. |
Original sub-sector | Obfuscated |
Original Currency | USD |
Original budget | 000000000000000 |
Procurement method | Obfuscated Data |
Budget | 000000000000000 |
Location
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Source
Source reliability | High |
Data quality score | 100% |
Source | Obfuscated Data |
URL | obfuscated_data,obfuscateddata.com |
More Details
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