TY - JOUR
T1 - Increased risk of kidney failure in patients with genetic kidney disorders
AU - Elliott, Mark D.
AU - Vena, Natalie
AU - Marasa, Maddalena
AU - Cocchi, Enrico
AU - Bheda, Shiraz
AU - Bogyo, Kelsie
AU - Shang, Ning
AU - Zanoni, Francesca
AU - Verbitsky, Miguel
AU - Wang, Chen
AU - Kolupaeva, Victoria
AU - Jin, Gina
AU - Sofer, Maayan
AU - Pena, Rafael Gras
AU - Canetta, Pietro A.
AU - Bomback, Andrew S.
AU - Guay-Woodford, Lisa M.
AU - Hou, Jean
AU - Gillespie, Brenda W.
AU - Robinson, Bruce M.
AU - Klein, Jon B.
AU - Rheault, Michelle N.
AU - Smoyer, William E.
AU - Greenbaum, Larry A.
AU - Holzman, Larry B.
AU - Falk, Ronald J.
AU - Parsa, Afshin
AU - Sanna-Cherchi, Simone
AU - Mariani, Laura H.
AU - Kretzler, Matthias
AU - Kiryluk, Krzysztof
AU - Gharavi, Ali G.
N1 - Publisher Copyright:
© 2024, Elliott et al.
PY - 2024/9/3
Y1 - 2024/9/3
N2 - BACKGROUND. It is unknown whether the risk of kidney disease progression and failure differs between patients with and without genetic kidney disorders. METHODS. Three cohorts were evaluated: the prospective Cure Glomerulonephropathy Network (CureGN) and 2 retrospective cohorts from Columbia University, including 5,727 adults and children with kidney disease from any etiology who underwent whole-genome or exome sequencing. The effects of monogenic kidney disorders and APOL1 kidney-risk genotypes on the risk of kidney failure, estimated glomerular filtration rate (eGFR) decline, and disease remission rates were evaluated along with diagnostic yields and the impact of American College of Medical Genetics secondary findings (ACMG SFs). RESULTS. Monogenic kidney disorders were identified in 371 patients (6.5%), high-risk APOL1 genotypes in 318 (5.5%), and ACMG SFs in 100 (5.2%). Family history of kidney disease was the strongest predictor of monogenic disorders. After adjustment for traditional risk factors, monogenic kidney disorders were associated with an increased risk of kidney failure (hazard ratio [HR] = 1.72), higher rate of eGFR decline (-3.06 vs. 0.25 mL/min/1.73 m2/year), and lower risk of complete remission (odds ratioNot achieving CR = 5.25). High-risk APOL1 genotypes were associated with an increased risk of kidney failure (HR = 1.67) and faster eGFR decline (-2.28 vs. 0.25 mL/min/1.73 m2), replicating prior findings. ACMG SFs were not associated with personal or family history of associated diseases, but were predicted to impact care in 70% of cases. CONCLUSIONS. Monogenic kidney disorders were associated with an increased risk of kidney failure, faster eGFR decline, and lower rates of complete remission, suggesting opportunities for early identification and intervention based on molecular diagnosis.
AB - BACKGROUND. It is unknown whether the risk of kidney disease progression and failure differs between patients with and without genetic kidney disorders. METHODS. Three cohorts were evaluated: the prospective Cure Glomerulonephropathy Network (CureGN) and 2 retrospective cohorts from Columbia University, including 5,727 adults and children with kidney disease from any etiology who underwent whole-genome or exome sequencing. The effects of monogenic kidney disorders and APOL1 kidney-risk genotypes on the risk of kidney failure, estimated glomerular filtration rate (eGFR) decline, and disease remission rates were evaluated along with diagnostic yields and the impact of American College of Medical Genetics secondary findings (ACMG SFs). RESULTS. Monogenic kidney disorders were identified in 371 patients (6.5%), high-risk APOL1 genotypes in 318 (5.5%), and ACMG SFs in 100 (5.2%). Family history of kidney disease was the strongest predictor of monogenic disorders. After adjustment for traditional risk factors, monogenic kidney disorders were associated with an increased risk of kidney failure (hazard ratio [HR] = 1.72), higher rate of eGFR decline (-3.06 vs. 0.25 mL/min/1.73 m2/year), and lower risk of complete remission (odds ratioNot achieving CR = 5.25). High-risk APOL1 genotypes were associated with an increased risk of kidney failure (HR = 1.67) and faster eGFR decline (-2.28 vs. 0.25 mL/min/1.73 m2), replicating prior findings. ACMG SFs were not associated with personal or family history of associated diseases, but were predicted to impact care in 70% of cases. CONCLUSIONS. Monogenic kidney disorders were associated with an increased risk of kidney failure, faster eGFR decline, and lower rates of complete remission, suggesting opportunities for early identification and intervention based on molecular diagnosis.
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U2 - 10.1172/JCI178573
DO - 10.1172/JCI178573
M3 - Article
C2 - 39225089
AN - SCOPUS:85203116367
SN - 0021-9738
VL - 134
JO - Journal of Clinical Investigation
JF - Journal of Clinical Investigation
IS - 17
M1 - e178573
ER -