Integrating machine learning and GWAS for variant prioritization in the INCIPE cohort highlights ABC transporter genes in chronic kidney disease.
Chronic kidney disease (CKD) is a major public health challenge, affecting approximately 674 million people worldwide and representing one of the fastest-growing causes of mortality. Since CKD is frequently asymptomatic in its early stages, the identification of novel genetic biomarkers may improve early detection and risk stratification.
Chronic kidney disease (CKD) is a major public health challenge, affecting approximately 674 million people worldwide and representing one of the fastest-growing causes of mortality. Since CKD is frequently asymptomatic in its early stages, the identification of novel genetic biomarkers may improve early detection and risk stratification.
What the study was
- Study design
- Cohort/Observational Study
- Category
- Early Detection
- Maturity
- Validated
- Journal
- Front Genet
Why it surfaced
Matched watchlist topic 'CBC-based diagnostics and machine learning in hematology'. Study design: Cohort/Observational Study. Score: 8/10 (N:3, R:3, D:1, P:1).
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