Evidence map›Paper›PMID 41957517›Full record

ArticleEuropean journal of human genetics : EJHG2026

How variant discovery redefines genetic prevalence: the case of cystine stone disease.

Chen-Han Wilfred Wu, Joshua Chang, Katreya Lovrenert, Donald Bodner, Friedhelm Hildebrandt, Fredrick R Schumacher

Abstract read
In one paragraph

Article in European journal of human genetics : EJHG, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Chen-Han Wilfred Wu *Department of Urology, Department of Genetics, Hugh Kaul Precision Medicine Institute Heersink School of Medicine, University of Alabama at Birmingham, Birmingham, AL, USA. cwwu@uabmc.edu.ORCID 0000-0003-4827-9920
Joshua Chang *Department of Urology, Department of Genetics and Genome Sciences, Case Western Reserve University School of Medicine and University Hospitals, Cleveland, OH, USA.
Katreya LovrenertDepartment of Urology, Department of Genetics and Genome Sciences, Case Western Reserve University School of Medicine and University Hospitals, Cleveland, OH, USA.ORCID 0000-0002-0358-9581
Donald BodnerDepartment of Urology, Case Western Reserve University School of Medicine and University Hospitals, Cleveland, OH, USA.
Friedhelm HildebrandtDivision of Nephrology, Department of Pediatrics, Boston Children's Hospital, Harvard Medical School, Boston, MA, USA.ORCID 0000-0002-7130-0030
Fredrick R SchumacherDepartment of Population and Quantitative Health Sciences, Case Western Reserve University School of Medicine, Cleveland, OH, USA.ORCID 0000-0002-3073-7463

Funding

Case Western Reserve University School of Medicine | Clinical and Translational Science Collaborative of Cleveland, School of Medicine, Case Western Reserve University (Clinical and Translational Science Collaborative of Cleveland) RES516810Foundation for the National Institutes of Health (Foundation for the National Institutes of Health, Inc.) DK068306University Hospitals (UH) 100.83311U.S. Department of Health & Human Services | NIH | National Institute of Diabetes and Digestive and Kidney Diseases (National Institute of Diabetes & Digestive & Kidney Diseases) DK135933
6 · The paper itself

Abstract

Cystine stones are caused by pathogenic variants in SLC3A1 or SLC7A9. Our prior study revealed a large gap between genetic and clinical prevalence. With increasing discovery of novel variants, we aim to assess how these impact genetic prevalence estimates. Due to the disease rarity, direct patient recruitment and observation is impractical. We applied a population genetics approach to estimate genetic burden and prevalence. Pathogenic variants were identified from the 2022 Human Gene Mutation Database and intersected with population variants from the 1000 Genomes Project Phase 3. Allele frequency, carrier rate, and affected rate were calculated. Results were compared to prior data, and simulations were performed across varying initial allele frequencies. We identified 116 and 76 novel pathogenic variants in SLC3A1 and SLC7A9, respectively. Pathogenic allele frequencies increased by +0.12% (SLC3A1) and 0.16% (SLC7A9), leading to fold-changes in genetic prevalence of 1.51x and 2.78x. The combined updated prevalence is 1 in 17,612, a 1.74x increase. Simulations confirmed the fold-change magnitude. In rare diseases, even modest discovery of new variants can significantly increase genetic prevalence. As shown in cystine stone, this helps narrow-but not close-the gap with clinical prevalence. Further efforts are needed to bridge this gap and guide treatment development.

Indexed as

Amino Acid Transport Systems, BasicAmino Acid Transport Systems, NeutralAmino Acid Transport System y+CystineGene FrequencyHumansMutationPrevalenceAmino Acid Transport Systems, BasicAmino Acid Transport Systems, NeutralAmino Acid Transport System y+CystineSLC3A1 protein, humanSLC7A9 protein, human

Identifiers

PMID41957517
PMCPMC13341753

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.