Genetic Study Maps Membranous Nephropathy Risk Variants
Researchers combined multivariate genetic analysis with transcriptomics to identify additional HLA and PLA2R1 variants linked to this autoimmune kidney condition.
Updated on Nov. 3, 2026 in Asthma
Researchers applied canonical correlation analysis to the NURTuRE-CKD and Salford Kidney Study European datasets to examine genetic variants associated with membranous nephropathy, an autoimmune kidney condition. The analysis identified 1095 HLA SNPs and 46 PLA2R1 SNPs showing significant correlation with the condition.
Why it matters
Earlier univariate genome-wide association studies had already flagged HLA and PLA2R1 risk variants, and multivariate analysis can uncover further insights beyond single-variant approaches. The findings add detail to how genetic risk for this kidney disease is structured.
The analysis used the NURTuRE-CKD and Salford Kidney Study European cohorts, identifying 1095 HLA SNPs and 46 PLA2R1 SNPs with significant correlation to membranous nephropathy, compared against healthy and non-membranous nephropathy groups. Whether these associations reflect direct causal mechanisms has not been established.
The details
The team combined canonical correlation analysis with transcriptomics and single-cell gene enrichment. ATF6B, C2, CYP21A2 and HLA-DRB1 colocalised with top HLA SNPs and showed differential expression in published immune datasets, while HLA-DQB1, HLA-DRB5 and RNF5 showed expression differences linked to lead SNP genotype.
Timeline
November 3, 2026: Article published early as accepted peer-reviewed research.
Health Landscape
The study builds directly on earlier univariate genome-wide association work that first mapped HLA and PLA2R1 risk variants in membranous nephropathy. Its multivariate approach follows that line of inquiry and suggests genetic risk in this autoimmune kidney condition is more intricately structured than single-variant studies alone revealed.
For people living with membranous nephropathy, this research is at the basic-science stage and does not yet change diagnosis or treatment options. Any future clinical use of these genetic markers would depend on further validation beyond the European datasets studied.
The takeaway
Combining multivariate genetic methods with gene expression data can reveal risk structure that single-variant studies miss. Readers following autoimmune kidney research should watch for follow-up work testing whether these genes drive disease directly.
Further reading
Explore more on Asthma and related respiratory and immune health topics.
Source note: This article includes information reported by Nature.
