Polygenic risk alters the penetrance of monogenic kidney disease

Author:

Kiryluk Krzysztof1ORCID,Khan Atlas2ORCID,Shang Ning3ORCID,Nestor Jordan2ORCID,Weng Chunhua4ORCID,Hripcsak George5,Harris Peter6,Gharavi Ali7ORCID

Affiliation:

1. Columbia University, College of Physicians & Surgeons

2. Columbia University

3. Department of Biomedical Informatics, Vagelos College of Physicians & Surgeons, Columbia University

4. Columbia University, Department of Biomedical Informatics

5. Columbia University Irving Medical Center

6. Mayo Clinic

7. Columbia University College of Physicians and Surgeons

Abstract

Abstract Importance Chronic kidney disease (CKD) is a genetically complex disease determined by an interplay of monogenic, polygenic, and environmental risks. The most common forms of monogenic kidney disorders include autosomal dominant polycystic kidney disease (ADPKD), caused by mutations in the PKD1 or PKD2 genes, and COL4A-associated nephropathy (COL4A-AN), caused by mutations in COL4A3, COL4A4, or COL4A5 genes. These disorders have incomplete penetrance and variable expressivity. It is presently unknown if some of the variability in penetrance can be attributed to polygenic factors. Objective Our objectives were to investigate the interplay of polygenic and monogenic risk of kidney disease and to test the utility of polygenic risk scores for risk stratification in ADPKD and COL4-AN. Design We combined exome/genome sequencing, SNP micro-array, and electronic health record data from the UK Biobank (N = 469,835 participants) and the All of Us (N = 98,622 participants) datasets to test the effects of the genome-wide polygenic score (GPS) for CKD in ADPKD and COL4-AN variant carriers defined by strict variant classification criteria. We used the eMERGE-III electronic CKD phenotype to define cases (estimated glomerular filtration rate (eGFR) < 60 mL/min/1.73m2 or kidney failure) and controls (eGFR > 90 mL/min/1.73m2 in the absence of kidney disease diagnoses). The GPS was tested as a predictor of CKD in qualifying variant carriers and non-carriers using logistic regression after adjustment for age, sex, diabetes, and genetic ancestry. Results The GPS was predictive of CKD in ADPKD variant carriers (ORmeta=2.28 per SD, 95%CI: 1.55–3.37, P = 2.6E-05) as well as non-carriers (ORmeta=1.72 per SD, 95% CI = 1.69–1.76, P < E-300) independent of age, sex, diabetes, and genetic ancestry. Compared to the middle tertile of the GPS distribution for non-carriers, ADPKD variant carriers in the top tertile had a 54-fold increased risk of CKD, while ADPKD variant carriers in the bottom tertile had only a 3-fold increased risk of CKD. Similarly, the GPS was predictive of CKD in both COL4-AN carriers (ORmeta=1.78, 95% CI = 1.22–2.58, P = 2.38E-03) and non-carriers (ORmeta=1.70, 95%CI: 1.68–1.73 P < E-300). The carriers in the top GPS tertile had a 2.5-fold higher risk of CKD while the risk for carriers in the bottom GPS tertile was not different from the average population risk. Conclusions and Relevance Variable penetrance of kidney disease in ADPKD and COL4-AN is partially explained by the differences in polygenic risk profiles. Accounting for polygenic factors improves risk stratification in monogenic kidney disease and may have clinical implications for genetic counseling.

Publisher

Research Square Platform LLC

Reference60 articles.

1. A brief history of human disease genetics;Claussnitzer M;Nature,2020

2. Genetic associations of protein-coding variants in human disease;Sun BB;Nature,2022

3. Polygenic Risk Scores in Coronary Artery Disease and Atrial Fibrillation;Gladding PA;Heart Lung Circ,2019

4. Validation of Genome-Wide Polygenic Risk Scores for Coronary Artery Disease in French Canadians;Wunnemann F;Circ Genom Precis Med,2019

5. Polygenic risk scores in coronary artery disease;Rao AS;Curr Opin Cardiol,2019

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