| Title: | Precision Diagnosis in APOL1 Kidney Disease With the p.N264K M1 Protective Variant |
| Journal: | JAMA Network Open |
| Published: | 2 Mar 2026 |
| Pubmed: | https://pubmed.ncbi.nlm.nih.gov/41811315/ |
| DOI: | https://doi.org/10.1001/jamanetworkopen.2026.1452 |
| URL: | http://dx.doi.org/10.1001/jamanetworkopen.2026.1452 |
Publication 17540
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Abstract
Importance: The APOL1 M1 (p.N264K) variant protects against G2-associated APOL1 focal segmental glomerulosclerosis (FSGS) and chronic kidney disease (CKD). However, the utility of knowing an individual's M1 status in guiding kidney disease diagnosis and other clinical scenarios remains underexplored.</p>
Objective: To test 2 hypotheses: (1) in patients with APOL1 high-risk (HR) genotype kidney disease with at least 1 G2 allele, M1 can distinguish APOL1 CKD from non-APOL1 CKD; (2) in people with APOL1 low-risk (LR) genotypes, M1 is independently associated with protection against FSGS and CKD.</p>
Design, Setting, and Participants: Retrospective case-control study using data from 2 tertiary care hospitals (Columbia University Irving Medical Center and Mass General Brigham Biobank) and population-based data (the UK Biobank [UKB], Electronic Medical Records and Genomics [eMERGE-III], and All of Us [AoU]). Participants were individuals with a diagnosis of FSGS or steroid-resistant nephrotic syndrome (SRNS), individuals with CKD, and controls.</p>
Exposures: Exposures included the M1 variant (p.N264K) obtained from exome or genome sequencing data, sex, and genetic ancestry.</p>
Main outcome and measure: The main outcome was the presence or absence of kidney disease, defined as FSGS or non-FSGS CKD, compared with non-kidney disease controls. Association between the M1 variant and disease status was assessed using odds ratios (ORs).</p>
Results: A total of 107 696 individuals (54 994 [51.1%] female; 8779 [8.2%] with African ancestry, 78 475 [72.9%] with European ancestry, and 16 129 [15.0%] with multiethnic ancestry), including 3460 with FSGS or SRNS, 24 382 with non-FSGS CKD kidney disease, and 79 854 controls were enrolled in the discovery cohort. In the APOL1-HR group (1413 participants), M1 was significantly inversely associated with FSGS or SRNS cases compared with controls without kidney disease (OR, 0.20; 95% CI, 0.04-0.63; P = 3.69 × 10-3). Among individuals with CKD with APOL1-HR genotypes, M1 was 4 times more frequent in those whose CKD was not due to FSGS or SRNS. Importantly, electronic health record and biopsy review identified an alternative, non-APOL1 cause for CKD in nearly all APOL1-HR-M1 cases. There was no association between individuals with APOL1-LR genotypes with M1 and protection against CKD or FSGS.</p>
Conclusions and relevance: In this case-control study of 107 696 individuals, presence of an APOL1-HR genotype M1 was significantly associated with protection against kidney disease, suggesting that it may have a role as a genetic modifier. Patients with CKD with an APOL1-HR genotype and M1 should be evaluated for an alternative and potentially treatable cause of their CKD.</p>
14 Keywords
- Adult
- Aged
- Apolipoprotein L1
- Case-Control Studies
- Female
- Genetic Predisposition to Disease
- Genotype
- Glomerulosclerosis, Focal Segmental
- Humans
- Male
- Middle Aged
- Nephrotic Syndrome
- Renal Insufficiency, Chronic
- Retrospective Studies
58 Authors
- Elena Martinelli
- Juntao Ke
- Atlas Khan
- Janewit Wongboonsin
- David R. Vanderwall
- Tze Y. Lim
- Dominick Santoriello
- Yask Gupta
- Michelle T. McNulty
- Satoshi Koyama
- Sidhant Puntambekar
- Andrew S. Bomback
- Pietro Canetta
- Matthias Kretzler
- Giovanni Montini
- William Morello
- Umberto Maggiore
- Enrico Fiaccadori
- Loreto Gesualdo
- Gian Marco Ghiggeri
- Eduardo Araújo Oliveira
- Ana Cristina Simoes e Silva
- Pavan K. Bendapudi
- Joshua Motelow
- Christine K. Garcia
- Dirk S. Paul
- Slavé Petrovski
- David B. Goldstein
- David J. Friedman
- Jai Radhakrishnan
- Fangming Lin
- Sumit Mohan
- Gerald B. Appel
- Moin A. Saleem
- Pradeep Natarajan
- Friedhelm Hildebrandt
- Rik Westland
- Vivette D. D'Agati
- Rasheed Gbadegesin
- Ali G. Gharavi
- Martin R. Pollak
- Krzysztof Kiryluk
- Matthew G. Sampson
- Simone Sanna-Cherchi
- Rando Allikmets
- Ansgar Brambrink
- Matthew Harms
- Christine Garcia
- Ali Gharavi
- David Goldstein
- Erin Heinzen
- Krzysztof Kiryluk
- Richard Mayeux
- Muredach Reilly
- Simone Sanna-Cherchi
- Neil Shneider
- H. Blair Simpson
- Ronald Wapner
1 Application
| Application ID | Title |
|---|---|
| 41849 | GWAS studies for kidney-related traits using UKBB data. |
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