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Clinical Application of Polygenic Risk Score in IgA Nephropathy
Linlin Xu1,2,3,4, Ting Gan1,2,3,4, Pei Chen1,2,3,4
1Renal Division, Peking University First Hospital, No. 8, Xishiku Street, Xicheng District, Beijing, 100034 People's Republic of China.
Phenomics (Cham, Switzerland)
|June 17, 2024
Summary
A higher genetic risk score (GRS) in IgA nephropathy (IgAN) is linked to earlier disease onset and worse prognosis. This genetic risk assessment can aid in predicting IgAN risk and stratifying patients.
Area of Science:
- Nephrology
- Genetics
- Epidemiology
Background:
- Genome-wide association studies (GWASs) have identified numerous genetic variants associated with IgA nephropathy (IgAN).
- A genetic risk score (GRS) quantifies an individual's genetic predisposition by summing risk alleles.
- The clinical utility of polygenic risk scores for IgAN risk and prognosis remains unclear.
Purpose of the Study:
- To construct and evaluate different genetic risk score (GRS) models for IgA nephropathy (IgAN).
- To assess the association between GRS and clinical variability, including age at diagnosis and prognosis.
- To explore the potential of GRS in predicting IgAN risk and stratifying patients.
Main Methods:
- Constructed three GRS models using 15, 21, and 55 single nucleotide polymorphisms (SNPs) from GWASs.
- Performed case-control analysis with 3365 IgAN patients and 8842 healthy individuals.
- Evaluated GRS association with clinical parameters and prognosis in a prospective cohort of 1747 patients.
Main Results:
- Higher GRS (top 20%) significantly increased IgAN risk (2.42-3.89 fold) compared to lower GRS (bottom 20%).
- GRS correlated positively with microhematuria and mesangial hypercellularity, and negatively with age at diagnosis and BMI.
- Patients with top 20% GRS exhibited a 1.36-1.42 fold higher risk of worse kidney prognosis across models.
Conclusions:
- A higher burden of IgAN risk variants, as indicated by GRS, is associated with earlier disease onset.
- Elevated GRS predicts a higher risk of worse kidney prognosis in IgAN patients.
- GRS models, particularly the 21-SNP model, show potential for IgAN risk prediction and patient stratification.
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