Polygenic Scores Help Reduce Racial Disparities in Predictive Accuracy of Automated Type 1 Diabetes Classification Algorithms
Polygenic Scores Help Reduce Racial Disparities in Predictive Accuracy of Automated Type 1 Diabetes Classification Algorithms is a research paper published in Diabetes Care (2023). On theSindex it has a DataRank of 0. It has been cited 14 times.
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›Methodology & internals
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Authors (8)
NIH/NIDDK
Grant: F30DK130576
NIH/NIDDK
Grant: K23DK114551
NIH/NIDDK
Grant: T32DK007028
NIH/NHGRI
Grant: U01HG011723
NIH/NHLBI
Grant: K24 HL157960
National Institutes of Health
Grant: 5U01HG011723-02
Development of Polygenic Risk Scores for Diabetes and Complications across the Life-Span in Populations of Diverse Ancestry
National Institutes of Health
Grant: 5K23DK114551-04
Clinical Implications of Genetically Defined Diabetes Subtypes and Application to Electronic Health Medical Record Systems
National Institutes of Health
Grant: 1F30DK130576-01A1
A genotype first approach to studying diabetes
National Institutes of Health
Grant: 3T32DK007028-48S1
Training Program in Endocrinology
National Institutes of Health
Grant: 5K24HL157960-10
Mentoring Investigators on the Clinical Translation of Cardiometabolic Genetic Discoveries
FWCI
3.06
Citation Percentile
0.9%
Citation Trend
Fields of Study
MeSH Terms
Keywords
Sustainable Development Goals