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Fernandez HE, Lipton M, Balderes O, Lin F, Marasa M, Milo Rasouly H, Sabatello M. Pediatric nephrologists' perspectives and clinical practices related to genetic testing and education. Pediatr Nephrol 2025; 40:755-763. [PMID: 39382664 PMCID: PMC11745921 DOI: 10.1007/s00467-024-06539-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/21/2024] [Revised: 08/19/2024] [Accepted: 09/05/2024] [Indexed: 10/10/2024]
Abstract
BACKGROUND While genetic testing is now more accessible in pediatric nephrology, little is known about the views of pediatric nephrologists regarding genetic testing in clinical settings. METHODS An online 41-item survey was developed and distributed via professional listservs to self-identified U.S. licensed pediatric nephrologists from January 22 to May 4, 2021. RESULTS Pediatric nephrologists had a high referral rate to genetic counseling and agreed on the significant impact of genetic testing on diagnosis, treatment, prognosis, counseling, and kidney transplant planning. Challenges for the utilization of genetic testing among pediatric nephrologists include the need to (1) learn how to counsel patients on the risks and benefits of genetic testing, (2) choose appropriate testing, (3) interpret genetic results, and (4) return those results to patients and families. CONCLUSION There exists an opportunity to expand genetic testing education for pediatric nephrologists to assist incorporation of genetic testing into clinical practice.
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Affiliation(s)
- Hilda E Fernandez
- Division of Nephrology, Department of Medicine, Columbia University, New York, NY, USA
- Division of Pediatric Nephrology, Department of Pediatrics, Columbia University, New York, NY, USA
| | - Marissa Lipton
- Division of Pediatric Nephrology, Department of Pediatrics, New York University, New York, NY, USA
| | - Olivia Balderes
- Division of Nephrology, Department of Medicine, Columbia University, New York, NY, USA
| | - Fangming Lin
- Division of Pediatric Nephrology, Department of Pediatrics, Columbia University, New York, NY, USA
| | - Maddalena Marasa
- Division of Nephrology, Department of Medicine, Columbia University, New York, NY, USA
| | - Hila Milo Rasouly
- Division of Nephrology, Department of Medicine, Columbia University, New York, NY, USA
- Center of Precision Medicine and Genomics, Department of Medicine, Columbia University, New York, NY, USA
| | - Maya Sabatello
- Center of Precision Medicine and Genomics, Department of Medicine, Columbia University, New York, NY, USA.
- Division of Ethics, Department of Medical Humanities and Ethics, Columbia University, New York, NY, USA.
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Groopman E, Milo Rasouly H. Navigating Genetic Testing in Nephrology: Options and Decision-Making Strategies. Kidney Int Rep 2025; 10:673-695. [PMID: 40225372 PMCID: PMC11993218 DOI: 10.1016/j.ekir.2024.12.020] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/30/2024] [Revised: 12/03/2024] [Accepted: 12/10/2024] [Indexed: 04/15/2025] Open
Abstract
Technological advances such as next-generation sequencing (NGS) have enabled high-throughput assessment of the human genome, supporting the usage of genetic testing as a first-line tool across clinical medicine. Although individually rare, genetic causes account for end-stage renal disease in 10% to 15% of adults and 70% of children, and in many of these individuals, genetic testing can identify a specific etiology and meaningfully impact management. However, with numerous options for genetic testing available, nephrologists may feel uncomfortable integrating genetics into their clinical practice. Here, we aim to demystify the process of genetic test selection and highlight the opportunities for interdisciplinary collaboration between nephrologists and genetics professionals, thereby supporting precision medicine for patients with kidney disease. We first detail the various clinical genetic testing modalities, highlighting their technical advantages and limitations, and then discuss indications for their usage. Next, we provide a generalized workflow for genetic test selection among individuals with kidney disease and illustrate how this workflow can be applied to genetic test selection across diverse clinical contexts. We then discuss key areas related to the usage of genetic testing in clinical nephrology that merit further research and approaches to investigate them.
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Affiliation(s)
- Emily Groopman
- Pediatrics and Medical Genetics Combined Residency Program, Children’s National Hospital, Washington, DC, USA
| | - Hila Milo Rasouly
- Division of Nephrology, Department of Medicine, Columbia University College of Physicians and Surgeons, New York, New York, USA
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Schott C, Lebedeva V, Taylor C, Abumelha S, Roshanov PS, Connaughton DM. Utility of Genetic Testing in Adults with CKD: A Systematic Review and Meta-Analysis. Clin J Am Soc Nephrol 2025; 20:101-115. [PMID: 39792540 PMCID: PMC11737453 DOI: 10.2215/cjn.0000000000000564] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/03/2024] [Accepted: 09/12/2024] [Indexed: 09/22/2024]
Abstract
Key Points Diagnostic yield of genetic testing in adults with CKD is 40%. Risk factors including positive family history and extra-kidney features associate with higher diagnostic yield, although young age at testing did not. Seventeen percent of patients who received a genetic diagnosis were reclassified into a different phenotype after testing. Background Clinical and pathological confirmation of the diagnosis for CKD has limitations, with up to one third of individuals remaining without a formal diagnosis. Increasingly, data suggest that these limitations can be overcome by genetic testing. The objective of this study was to estimate the diagnostic yield of genetic testing in adults with CKD. Methods Cohort studies that report diagnostic yield of genetic testing in adults with CKD published in PubMed or Embase between January 1, 2005, and December 31, 2023, were included. The Joanna Briggs Institute critical appraisal tool for prevalence studies was used to assess bias. Duplicate independent data extraction and a meta-analysis of proportions using generalized linear mixed models were completed. Results We included 60 studies with 10,107 adults with CKD who underwent genetic testing. We found a diagnostic yield of 40% (95% confidence interval, 33 to 46); yield varied by CKD subtype with the highest yield of 62% (95% confidence interval, 57 to 68) in cystic kidney disease. Positive family history and presence of extra-kidney features were associated with higher diagnostic yield. Reclassification of the before testing diagnosis after a positive genetic testing result occurred in 17% of the solved cohort. Six studies showed the clinical benefits of genetic testing including cascade testing for family members and treatment changes. Conclusions Overall, we show that genetic testing is informative in a high proportion of clinically selected adults with CKD. The study was limited by heterogeneity in reporting, testing technologies, and cohort characteristics. Clinical Trial registry name and registration number: International prospective register of systematic reviews (CRD42023386880).
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Affiliation(s)
- Clara Schott
- Department of Biochemistry, Schulich School of Medicine and Dentistry, Western University, London, Ontario, Canada
| | - Victoria Lebedeva
- Division of Nephrology, Department of Medicine, London Health Sciences Centre, London, Ontario, Canada
| | - Cambrie Taylor
- Department of Biology, Western University, London, Ontario, Canada
| | - Saeed Abumelha
- Department of Medicine, Division of Nephrology, University Hospital, London Health Sciences Centre, London, Ontario, Canada
| | - Pavel S. Roshanov
- Department of Medicine, Division of Nephrology, University Hospital, London Health Sciences Centre, London, Ontario, Canada
- Department of Epidemiology and Biostatistics, Western University, London, Ontario, Canada
- Population Health Research Institute, Hamilton, Ontario, Canada
| | - Dervla M. Connaughton
- Department of Biochemistry, Schulich School of Medicine and Dentistry, Western University, London, Ontario, Canada
- Division of Nephrology, Department of Medicine, London Health Sciences Centre, London, Ontario, Canada
- Department of Medicine, Division of Nephrology, University Hospital, London Health Sciences Centre, London, Ontario, Canada
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Borden C, Tan XY, Roberts MB, Mazzola S, Zhao F, Schenk P, Simon JF, Gadegbeku C, Sedor J, Wang X. Black Patients Equally Benefit From Renal Genetics Evaluation but Substantial Barriers in Access Exist. Kidney Int Rep 2023; 8:2068-2076. [PMID: 37850009 PMCID: PMC10577329 DOI: 10.1016/j.ekir.2023.07.007] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/23/2023] [Revised: 07/07/2023] [Accepted: 07/11/2023] [Indexed: 10/19/2023] Open
Abstract
Introduction Genetic testing is increasingly accessible to patients with kidney diseases. Racial disparities in renal genetics evaluations have not been investigated. Methods A cohort of patients evaluated by the Cleveland Clinic Renal Genetics Clinic (RGC) from January 2019 to March 2022 was analyzed. Results Forty-eight Black patients, including 27 (56.3%) males, median age 34 (22-49) years and 232 White patients, including 76 (32.8%) males, median age 35 (21-53) years, were evaluated. Black patients were more likely to have end-stage kidney disease (ESKD) at the time of referral compared with White patients (23% vs. 7.3%, P = 0.004), more likely to be covered by Medicaid (46% vs. 15%, P < 0.001), and less likely to be covered by private insurance (35% vs. 66%, P < 0.001). Black patients were more likely to "no show" to scheduled appointment(s) or not submit specimens for genetic testing compared with White patients (24.1% vs. 6.7%, P = 0.0005). Genetic testing was completed in 35 Black patients. Of these, 37% had a positive result with 9 unique monogenic disorders and 1 chromosomal disorder diagnosed. Sixty-nine percent of Black patients with positive results received a new diagnosis or a change in diagnosis. Of these, 44% received a significant change in disease management. No differences in diagnostic yield and implications of management were noted between Black and White patients. Conclusion Black patients equally benefit from renal genetics evaluation, but barriers to access exist. Steps must be taken to ensure equitable and early access for all patients. Further studies investigating specific interventions to improve access are needed.
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Affiliation(s)
- Chloe Borden
- Cleveland Clinic Lerner College of Medicine of Case Western Reserve University, Cleveland, Ohio, USA
| | - Xin Yee Tan
- Department of Kidney Medicine, Medical Specialties Institute, Cleveland Clinic, Cleveland, OH, USA
| | - Mary-Beth Roberts
- Center for Personalized Genetic Healthcare, Cleveland Clinic, Cleveland, Ohio, USA
| | - Sarah Mazzola
- Center for Personalized Genetic Healthcare, Cleveland Clinic, Cleveland, Ohio, USA
| | - Fang Zhao
- Department of Pathology and Laboratory Medicine, University of Cincinnati, Cincinnati, Ohio, USA
| | - Philip Schenk
- Department of Kidney Medicine, Medical Specialties Institute, Cleveland Clinic, Cleveland, OH, USA
| | - James F. Simon
- Department of Kidney Medicine, Medical Specialties Institute, Cleveland Clinic, Cleveland, OH, USA
| | - Crystal Gadegbeku
- Department of Kidney Medicine, Medical Specialties Institute, Cleveland Clinic, Cleveland, OH, USA
| | - John Sedor
- Department of Kidney Medicine, Medical Specialties Institute, Cleveland Clinic, Cleveland, OH, USA
| | - Xiangling Wang
- Cleveland Clinic Lerner College of Medicine of Case Western Reserve University, Cleveland, Ohio, USA
- Department of Kidney Medicine, Medical Specialties Institute, Cleveland Clinic, Cleveland, OH, USA
- Center for Personalized Genetic Healthcare, Cleveland Clinic, Cleveland, Ohio, USA
- Genomic Medicine Institute, Lerner Research Institute, Cleveland Clinic, Cleveland, Ohio, USA
- Department of Molecular Medicine, Cleveland Clinic, Case Western Reserve University, Cleveland, Ohio, USA
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Rasouly HM, Balderes O, Marasa M, Fernandez H, Lipton M, Lin F, Gharavi AG, Sabatello M. The effect of genetic education on the referral of patients to genetic evaluation: Findings from a national survey of nephrologists. Genet Med 2023; 25:100814. [PMID: 36789889 PMCID: PMC10164060 DOI: 10.1016/j.gim.2023.100814] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/21/2022] [Revised: 02/06/2023] [Accepted: 02/07/2023] [Indexed: 02/16/2023] Open
Abstract
PURPOSE The success of genomic medicine hinges on the implementation of genetic knowledge in clinical settings. In novel subspecialties, it requires that clinicians refer patients to genetic evaluation or testing, however referral is likely to be affected by genetic knowledge. METHODS An online survey was administered to self-identified nephrologists working in the United States. Nephrologists' demographic characteristics, genetic education, confidence in clinical genetics, genetic knowledge, and referral rates of patients to genetic evaluation were collected. RESULTS In total, 201 nephrologists completed the survey. All reported treating patients with genetic forms of kidney disease, and 37% had referred <5 patients to genetic evaluation. A third had limited basic genetic knowledge. Most nephrologists (85%) reported concerns regarding future health insurance eligibility as a barrier to referral to genetic testing. Most adult nephrologists reported insufficient genetic education during residency (65%) and fellowship training (52%). Lower rating of genetic education and lower knowledge in recognizing signs of genetic kidney diseases were significantly associated with lower number of patients referred to the genetic evaluation (P < .001). Most nephrologists reported that improving their genetic knowledge is important for them (>55%). CONCLUSIONS There is a need to enhance nephrologists' genetic education to increase genetic testing use in nephrology.
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Affiliation(s)
- Hila Milo Rasouly
- Division of Nephrology, Department of Medicine, Columbia University Vagelos College of Physicians and Surgeons, New York, NY; Center for Precision Medicine and Genomics, Department of Medicine, Columbia University Vagelos College of Physicians and Surgeons, New York, NY.
| | - Olivia Balderes
- Division of Nephrology, Department of Medicine, Columbia University Vagelos College of Physicians and Surgeons, New York, NY
| | - Maddalena Marasa
- Division of Nephrology, Department of Medicine, Columbia University Vagelos College of Physicians and Surgeons, New York, NY; Center for Precision Medicine and Genomics, Department of Medicine, Columbia University Vagelos College of Physicians and Surgeons, New York, NY
| | - Hilda Fernandez
- Division of Nephrology, Department of Medicine, Columbia University Vagelos College of Physicians and Surgeons, New York, NY; Division of Pediatric Nephrology, Department of Pediatrics, Columbia University Vagelos College of Physicians and Surgeons, New York, NY
| | - Marissa Lipton
- Division of Pediatric Nephrology, Department of Pediatrics, Columbia University Vagelos College of Physicians and Surgeons, New York, NY
| | - Fangming Lin
- Division of Pediatric Nephrology, Department of Pediatrics, Columbia University Vagelos College of Physicians and Surgeons, New York, NY
| | - Ali G Gharavi
- Division of Nephrology, Department of Medicine, Columbia University Vagelos College of Physicians and Surgeons, New York, NY; Center for Precision Medicine and Genomics, Department of Medicine, Columbia University Vagelos College of Physicians and Surgeons, New York, NY; Institute for Genomic Medicine, Columbia University Vagelos College of Physicians and Surgeons, New York, NY
| | - Maya Sabatello
- Center for Precision Medicine and Genomics, Department of Medicine, Columbia University Vagelos College of Physicians and Surgeons, New York, NY; Division of Ethics, Department of Medical Humanities and Ethics, Columbia University, New York, NY.
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Sedor JR. Kidney Genetics: Continuing Discoveries and a Roadmap to the Clinic. J Am Soc Nephrol 2023; 34:519-520. [PMID: 36758119 PMCID: PMC10103286 DOI: 10.1681/asn.0000000000000077] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/21/2022] [Accepted: 11/25/2022] [Indexed: 02/11/2023] Open
Abstract
This article contains a podcast at https://dts.podtrac.com/redirect.mp3/www.asn-online.org/media/podcast/JASN/2023_04_03_JASN2022060725.mp3
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Affiliation(s)
- John R. Sedor
- Glickman Urology and Kidney and Lerner Research Institutes, Cleveland Clinic, Cleveland, Ohio
- Departments of Molecular Medicine and Physiology and Biophysics, Case Western Reserve University, Cleveland, Ohio
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Jayaraman P, Crouse A, Nadkarni G, Might M. A Primer in Precision Nephrology: Optimizing Outcomes in Kidney Health and Disease through Data-Driven Medicine. KIDNEY360 2023; 4:e544-e554. [PMID: 36951457 PMCID: PMC10278804 DOI: 10.34067/kid.0000000000000089] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/18/2022] [Accepted: 01/04/2023] [Indexed: 03/24/2023]
Abstract
This year marks the 63rd anniversary of the International Society of Nephrology, which signaled nephrology's emergence as a modern medical discipline. In this article, we briefly trace the course of nephrology's history to show a clear arc in its evolution-of increasing resolution in nephrological data-an arc that is converging with computational capabilities to enable precision nephrology. In general, precision medicine refers to tailoring treatment to the individual characteristics of patients. For an operational definition, this tailoring takes the form of an optimization, in which treatments are selected to maximize a patient's expected health with respect to all available data. Because modern health data are large and high resolution, this optimization process requires computational intervention, and it must be tuned to the contours of specific medical disciplines. An advantage of this operational definition for precision medicine is that it allows us to better understand what precision medicine means in the context of a specific medical discipline. The goal of this article was to demonstrate how to instantiate this definition of precision medicine for the field of nephrology. Correspondingly, the goal of precision nephrology was to answer two related questions: ( 1 ) How do we optimize kidney health with respect to all available data? and ( 2 ) How do we optimize general health with respect to kidney data?
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Affiliation(s)
- Pushkala Jayaraman
- The Charles Bronfman Institute for Personalized Medicine Icahn School of Medicine at Mount Sinai, New York, New York
| | - Andrew Crouse
- Hugh Kaul Precision Medicine Institute, University of Alabama at Birmingham, Birmingham, Alabama
| | - Girish Nadkarni
- The Charles Bronfman Institute for Personalized Medicine Icahn School of Medicine at Mount Sinai, New York, New York
- The Mount Sinai Clinical Intelligence Center (MSCIC), Icahn School of Medicine at Mount Sinai, New York, New York
- Division of Data Driven and Digital Medicine, Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, New York
- Barbara T Murphy Division of Nephrology, Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, New York
| | - Matthew Might
- Department of Medicine, University of Alabama at Birmingham, Birmingham, Alabama
- Department of Computer Science, University of Alabama at Birmingham, Birmingham, Alabama
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Rehm HL. 2022 Curt Stern Award: Advancing genomic medicine through collaboration and data sharing. Am J Hum Genet 2023; 110:410-413. [PMID: 36868203 PMCID: PMC10036750 DOI: 10.1016/j.ajhg.2023.01.013] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/05/2023] Open
Abstract
This article is based on the address given by the author at the 2022 meeting of The American Society of Human Genetics (ASHG) in Los Angeles, CA. The video of the original address can be found at the ASHG website.
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Affiliation(s)
- Heidi L Rehm
- Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA; Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA; Department of Pathology, Harvard Medical School, Boston, MA, USA.
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Cirillo L, Becherucci F. Genetic Testing in Nephrology: Show Your Pedigree! KIDNEY360 2022; 3:2148-2152. [PMID: 36591360 PMCID: PMC9802562 DOI: 10.34067/kid.0002732022] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/15/2022] [Accepted: 10/14/2022] [Indexed: 05/29/2023]
Affiliation(s)
- Luigi Cirillo
- Nephrology and Dialysis Unit, Meyer Children’s Hospital, Florence, Italy
- Department of Biomedical, Experimental and Clinical Sciences Mario Serio, University of Florence, Florence, Italy
| | - Francesca Becherucci
- Nephrology and Dialysis Unit, Meyer Children’s Hospital, Florence, Italy
- Department of Biomedical, Experimental and Clinical Sciences Mario Serio, University of Florence, Florence, Italy
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Tan XY, Borden C, Roberts MB, Mazzola S, Tan QKG, Fatica R, Simon J, Calle J, Taliercio J, Dell K, Provenzano LF, Deitzer D, Rincon-Choles H, Mehdi A, Lioudis M, Poggio ED, Nakhoul G, Nurko S, Ashour T, Bou Matar RN, Kwon C, Stephany B, Thomas G, Cheng YW, Leingang D, Alsadah A, Maditz R, Robert H, Vachhrajani T, Sedor J, Gadegbeku C, Wang X. Renal Genetics Clinic: 3-Year Experience in the Cleveland Clinic. Kidney Med 2022; 5:100585. [PMID: 36712315 PMCID: PMC9874141 DOI: 10.1016/j.xkme.2022.100585] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/15/2022] Open
Abstract
Rationale & Objective There has been an increasing demand for the expertise provided by a renal genetics clinic. Such programs are limited in the United States and typically operate in a genomics research setting. Here we report a 3-year, real-world, single-center renal genetics clinic experience. Study Design Retrospective cohort. Setting & Participants Outpatient cases referred to the renal genetics clinic of the Cleveland Clinic between January 2019 and March 2022 were reviewed. Analytical Approach Clinical and laboratory characteristics were analyzed. All genetic testing was performed in clinical labs. Results 309 new patients referred from 15 specialties were evaluated, including 118 males and 191 females aged 35.1 ± 20.3 years. Glomerular diseases were the leading presentation followed by cystic kidney diseases, electrolyte disorders, congenital anomalies of kidneys and urinary tract, nephrolithiasis, and tubulointerstitial kidney diseases. Dysmorphic features were noted in 27 (8.7%) patients. Genetic testing was recommended in 292 (94.5%) patients including chromosomal microarray (8.9%), single-gene tests (19.5%), multigene panels (77.3%), and exome sequencing (17.5%). 80.5% of patients received insurance coverage for genetic testing. 45% (115/256) of patients had positive results, 25% (64/256) had variants of unknown significance, and 22.3% (57/256) had negative results. 43 distinct monogenic disorders were diagnosed. Family history of kidney disease was present in 52.8% of patients and associated with positive genetic findings (OR, 2.28; 95% CI, 1.40-3.74). 69% of patients with positive results received a new diagnosis and/or a change in the diagnosis. Among these, 39.7% (31/78) of patients received a significant change in disease management. Limitations Retrospective and single-center study. Conclusions The renal genetics clinic plays important roles in the diagnosis and management of patients with genetic kidney diseases. Multigene panels are the most frequently used testing modality with a high diagnostic yield. Family history of kidney disease is a strong indication for renal genetics clinic referral.
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Affiliation(s)
- Xin Yee Tan
- Department of Kidney Medicine, Cleveland Clinic, Cleveland, Ohio
| | - Chloe Borden
- Cleveland Clinic Lerner College of Medicine of Case Western Reserve University, Cleveland, Ohio
| | - Mary-Beth Roberts
- Center for Personalized Genetic Healthcare, Cleveland Clinic, Cleveland, Ohio
| | - Sarah Mazzola
- Center for Personalized Genetic Healthcare, Cleveland Clinic, Cleveland, Ohio
| | - Queenie K.-G. Tan
- Center for Personalized Genetic Healthcare, Cleveland Clinic, Cleveland, Ohio
| | - Richard Fatica
- Department of Kidney Medicine, Cleveland Clinic, Cleveland, Ohio
| | - James Simon
- Department of Kidney Medicine, Cleveland Clinic, Cleveland, Ohio
| | - Juan Calle
- Department of Kidney Medicine, Cleveland Clinic, Cleveland, Ohio
| | | | - Katherine Dell
- Center for Pediatric Nephrology and Hypertension, Cleveland Clinic Children’s, Cleveland, Ohio
| | | | - Diana Deitzer
- Department of Kidney Medicine, Cleveland Clinic, Cleveland, Ohio
| | | | - Ali Mehdi
- Department of Kidney Medicine, Cleveland Clinic, Cleveland, Ohio
| | - Michael Lioudis
- Section of Nephrology, Upstate Medical University, Syracuse, New York
| | - Emilio D. Poggio
- Department of Kidney Medicine, Cleveland Clinic, Cleveland, Ohio
| | - Georges Nakhoul
- Department of Kidney Medicine, Cleveland Clinic, Cleveland, Ohio
| | - Saul Nurko
- Department of Kidney Medicine, Cleveland Clinic, Cleveland, Ohio
| | - Tarek Ashour
- Department of Kidney Medicine, Cleveland Clinic, Cleveland, Ohio
| | - Raed N. Bou Matar
- Center for Pediatric Nephrology and Hypertension, Cleveland Clinic Children’s, Cleveland, Ohio
| | - Charles Kwon
- Center for Pediatric Nephrology and Hypertension, Cleveland Clinic Children’s, Cleveland, Ohio
| | - Brian Stephany
- Department of Kidney Medicine, Cleveland Clinic, Cleveland, Ohio
| | - George Thomas
- Department of Kidney Medicine, Cleveland Clinic, Cleveland, Ohio
| | - Yu-Wei Cheng
- Molecular Genetics, Cleveland Clinic, Cleveland, Ohio
| | - Deanna Leingang
- Center for Personalized Genetic Healthcare, Cleveland Clinic, Cleveland, Ohio
| | - Adnan Alsadah
- Center for Personalized Genetic Healthcare, Cleveland Clinic, Cleveland, Ohio
| | - Rhyan Maditz
- Department of Kidney Medicine, Cleveland Clinic, Cleveland, Ohio
| | - Heyka Robert
- Department of Kidney Medicine, Cleveland Clinic, Cleveland, Ohio
| | | | - John Sedor
- Department of Kidney Medicine, Cleveland Clinic, Cleveland, Ohio
| | | | - Xiangling Wang
- Department of Kidney Medicine, Cleveland Clinic, Cleveland, Ohio,Cleveland Clinic Lerner College of Medicine of Case Western Reserve University, Cleveland, Ohio,Center for Personalized Genetic Healthcare, Cleveland Clinic, Cleveland, Ohio,Genomic Medicine Institute, Lerner Research Institute, Cleveland Clinic, Cleveland, Ohio,Department of Molecular Medicine, Lerner College of Medicine, Case Western Reserve University, Cleveland, Ohio,Address for Correspondence: Xiangling Wang, MD, PhD, 9500 Euclid Ave, Cleveland, OH 44195
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Which patients with CKD will benefit from genomic sequencing? Synthesizing progress to illuminate the future. Curr Opin Nephrol Hypertens 2022; 31:541-547. [PMID: 36093902 PMCID: PMC9594128 DOI: 10.1097/mnh.0000000000000836] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/04/2023]
Abstract
PURPOSE OF REVIEW This review will summarize and synthesize recent findings in regard to monogenic kidney disorders, including how that evidence is being translated into practice. It will add to existing key knowledge to provide context for clinicians in consolidating existing practice and approaches. RECENT FINDINGS Whilst there are long established factors, which indicate increased likelihood of identifying a monogenic cause for kidney disease, these can now be framed in terms of the identification of new genes, new indications for genomic testing and new evidence for clinical utility of genomic testing in nephrology. Further, inherent in the use of genomics in nephrology are key concepts including robust informed consent, variant interpretation and return of results. Recent findings of variants in genes related to complex or broader kidney phenotypes are emerging in addition to understanding of de novo variants. Phenocopy phenomena are indicating a more pragmatic use of broader gene panels whilst evidence is emerging of a role in unexplained kidney disease. Clinical utility is evolving but is being successfully demonstrated across multiple domains of outcome and practice. SUMMARY We provide an updated framework of evidence to guide application of genomic testing in chronic kidney disease (CKD), building upon existing principles and knowledge to indicate how the practice and implementation of this can be applied today. There are clearly established roles for genomic testing for some patients with CKD, largely those with suspected heritable forms, with these continuing to expand as new evidence emerges.
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Bogyo K, Vena N, May H, Rasouly HM, Marasa M, Sanna-Cherchi S, Kiryluk K, Nestor J, Gharavi A. Incorporating genetics services into adult kidney disease care. AMERICAN JOURNAL OF MEDICAL GENETICS. PART C, SEMINARS IN MEDICAL GENETICS 2022; 190:289-301. [PMID: 36161695 PMCID: PMC10360161 DOI: 10.1002/ajmg.c.32004] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/04/2022] [Revised: 08/09/2022] [Accepted: 09/11/2022] [Indexed: 01/29/2023]
Abstract
Studies have shown that as many as 1 in 10 adults with chronic kidney disease has a monogenic form of disease. However, genetic services in adult nephrology are limited. An adult Kidney Genetics Clinic was established within the nephrology division at a large urban academic medical center to increase access to genetic services and testing in adults with kidney disease. Between June 2019 and December 2021, a total of 363 patients were referred to the adult Kidney Genetics Clinic. Of those who completed genetic testing, a positive diagnostic finding was identified in 27.1%, a candidate diagnostic finding was identified in 6.7% of patients, and a nondiagnostic positive finding was identified in an additional 8.6% of patients, resulting in an overall yield of 42.4% for clinically relevant genetic findings in tested patients. A genetic diagnosis had implications for medical management, family member testing, and eligibility for clinical trials. With the utilization of telemedicine, genetic services reached a diverse geographic and patient population. Genetic education efforts were integral to the clinic's success, as they increased visibility and helped providers identify appropriate referrals. Ongoing access to genomic services will remain a fundamental component of patient care in adults with kidney disease.
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Affiliation(s)
- Kelsie Bogyo
- Division of Nephrology, Department of Medicine, Columbia University Vagelos College of Physicians and Surgeons, New York, New York, USA.,Center for Precision Medicine and Genomics, Department of Medicine, Columbia University Vagelos College of Physicians and Surgeons, New York, New York, USA.,Department of Pathology and Cell Biology, Columbia University Vagelos College of Physicians and Surgeons, New York, New York, USA
| | - Natalie Vena
- Division of Nephrology, Department of Medicine, Columbia University Vagelos College of Physicians and Surgeons, New York, New York, USA.,Center for Precision Medicine and Genomics, Department of Medicine, Columbia University Vagelos College of Physicians and Surgeons, New York, New York, USA.,Institute for Genomic Medicine, Columbia University Vagelos College of Physicians and Surgeons, New York, New York, USA
| | - Halie May
- Division of Nephrology, Department of Medicine, Columbia University Vagelos College of Physicians and Surgeons, New York, New York, USA.,Institute for Genomic Medicine, Columbia University Vagelos College of Physicians and Surgeons, New York, New York, USA
| | - Hila Milo Rasouly
- Division of Nephrology, Department of Medicine, Columbia University Vagelos College of Physicians and Surgeons, New York, New York, USA.,Center for Precision Medicine and Genomics, Department of Medicine, Columbia University Vagelos College of Physicians and Surgeons, New York, New York, USA
| | - Maddalena Marasa
- Division of Nephrology, Department of Medicine, Columbia University Vagelos College of Physicians and Surgeons, New York, New York, USA.,Center for Precision Medicine and Genomics, Department of Medicine, Columbia University Vagelos College of Physicians and Surgeons, New York, New York, USA
| | - Simone Sanna-Cherchi
- Division of Nephrology, Department of Medicine, Columbia University Vagelos College of Physicians and Surgeons, New York, New York, USA.,Center for Precision Medicine and Genomics, Department of Medicine, Columbia University Vagelos College of Physicians and Surgeons, New York, New York, USA.,Institute for Genomic Medicine, Columbia University Vagelos College of Physicians and Surgeons, New York, New York, USA
| | - Krzysztof Kiryluk
- Division of Nephrology, Department of Medicine, Columbia University Vagelos College of Physicians and Surgeons, New York, New York, USA.,Center for Precision Medicine and Genomics, Department of Medicine, Columbia University Vagelos College of Physicians and Surgeons, New York, New York, USA.,Institute for Genomic Medicine, Columbia University Vagelos College of Physicians and Surgeons, New York, New York, USA
| | - Jordan Nestor
- Division of Nephrology, Department of Medicine, Columbia University Vagelos College of Physicians and Surgeons, New York, New York, USA.,Center for Precision Medicine and Genomics, Department of Medicine, Columbia University Vagelos College of Physicians and Surgeons, New York, New York, USA
| | - Ali Gharavi
- Division of Nephrology, Department of Medicine, Columbia University Vagelos College of Physicians and Surgeons, New York, New York, USA.,Center for Precision Medicine and Genomics, Department of Medicine, Columbia University Vagelos College of Physicians and Surgeons, New York, New York, USA.,Institute for Genomic Medicine, Columbia University Vagelos College of Physicians and Surgeons, New York, New York, USA
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13
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Knight DRT, Confiado SM, Bruno KA, Fairweather D, Seymour-Sonnier AM, Jain A, Gehin JM, Whelan ER, Culberson JH, Munipalli B, Dawson NL, Rozen TD, Wick JJ, Kotha A. Establishing an Ehlers-Danlos Syndrome Clinic: Lessons Learned. SN COMPREHENSIVE CLINICAL MEDICINE 2022; 4:138. [PMID: 35811641 PMCID: PMC9255530 DOI: 10.1007/s42399-022-01218-w] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Accepted: 06/22/2022] [Indexed: 12/30/2022]
Abstract
In a large academic medical center, patient requests from the community and internal referrals for evaluation of suspected hypermobility conditions were being denied consultation because services specific to this condition were not available. We identified this gap and developed a comprehensive evaluation for this unique patient population. The objective of this paper is to demonstrate a solution for improving outcomes in a neglected patient population by establishing an innovative outpatient clinic specifically tailored for patients with EDS. We describe the lessons learned on establishing a specialty clinic for treating patients with hypermobility syndromes including hypermobile Ehlers-Danlos syndrome (hEDS) and hypermobile syndrome disorder (HSD). Findings were collected from a patient focus group that was instrumental in understanding common care gaps. We document the firsthand perspective of three patients presenting with hypermobility accompanied by joint pain and denote the complicated state of healthcare in recognizing and treating this condition. A summary of patient demographics and characteristics was collected from patients seen in the clinic from November 14, 2019 to April 13, 2021. The firsthand accounts illustrate the challenges faced in treating this condition and the need for, and success of, this clinic using a coordinated care model. Demographics reveal a primarily white female population under the age of 50 with many comorbidities. Genetic testing was largely negative, with more patients diagnosed with HSD than hEDS. Our shared experience of launching a successful EDS clinic may assist other clinicians in establishing similar care models.
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Affiliation(s)
- Dacre R. T. Knight
- Department of General Internal Medicine, Mayo Clinic, 4500 San Pablo Rd, Jacksonville, FL 32224 USA
| | | | - Katelyn A. Bruno
- Department of Cardiovascular Medicine, Mayo Clinic, Jacksonville, FL USA
| | - DeLisa Fairweather
- Department of Cardiovascular Medicine, Mayo Clinic, Jacksonville, FL USA
| | | | - Angita Jain
- Department of Cardiovascular Medicine, Mayo Clinic, Jacksonville, FL USA
| | - Jessica M. Gehin
- Department of General Internal Medicine, Mayo Clinic, 4500 San Pablo Rd, Jacksonville, FL 32224 USA
| | - Emily R. Whelan
- Department of Cardiovascular Medicine, Mayo Clinic, Jacksonville, FL USA
| | | | - Bala Munipalli
- Department of General Internal Medicine, Mayo Clinic, 4500 San Pablo Rd, Jacksonville, FL 32224 USA
| | - Nancy L. Dawson
- Department of General Internal Medicine, Mayo Clinic, 4500 San Pablo Rd, Jacksonville, FL 32224 USA
| | - Todd D. Rozen
- Department of Neurology, Mayo Clinic, Jacksonville, FL USA
| | - Joseph J. Wick
- Department of Research Services, Mayo Clinic, Rochester, MN USA
| | - Archana Kotha
- Department of Cardiovascular Medicine, Mayo Clinic, Jacksonville, FL USA
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14
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Soraru J, Chakera A, Isbel N, Mallawaarachichi A, Rogers N, Trnka P, Patel C, Mallett A. The evolving role of diagnostic genomics in kidney transplantation. Kidney Int Rep 2022; 7:1758-1771. [PMID: 35967121 PMCID: PMC9366366 DOI: 10.1016/j.ekir.2022.05.019] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/05/2022] [Revised: 05/11/2022] [Accepted: 05/16/2022] [Indexed: 11/06/2022] Open
Abstract
Monogenic forms of heritable kidney disease account for a significant proportion of chronic kidney disease (CKD) across both pediatric and adult patient populations and up to 11% of patients under 40 years reaching end-stage kidney failure (KF) and awaiting kidney transplant. Diagnostic genomics in the field of nephrology is ever evolving and now plays an important role in assessment and management of kidney transplant recipients and their related donor pairs. Genomic testing can help identify the cause of KF in kidney transplant recipients and assist in prognostication around graft survival and rate of recurrence of primary kidney disease. If a gene variant has been identified in the recipient, at-risk related donors can be assessed for the same and excluded if affected. This paper aims to address the indications for genomic testing in the context for kidney transplantation, the technologies available for testing, the conditions and groups in which testing should be most often considered, and the role for the renal genetics multidisciplinary team in this process.
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15
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Jayasinghe K, Wu Y, Stark Z, Kerr PG, Mallett AJ, Gaff C, Martyn M, Goranitis I, Quinlan C. Cost-Effectiveness of Targeted Exome Analysis as a Diagnostic Test in Glomerular Diseases. Kidney Int Rep 2021; 6:2850-2861. [PMID: 34805637 PMCID: PMC8589690 DOI: 10.1016/j.ekir.2021.08.028] [Citation(s) in RCA: 23] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/01/2021] [Revised: 08/12/2021] [Accepted: 08/30/2021] [Indexed: 12/14/2022] Open
Abstract
BACKGROUND Despite the emergence of diagnostic and clinical utility evidence in nephrology, publicly funded access to genomic testing is restricted in most health care systems. To establish genomic sequencing as a clinical test, an evaluation of cost-effectiveness is urgently required. METHODS An economic evaluation, informed by a primary clinical study and available clinical evidence and guidelines in nephrology, was performed to evaluate the cost-effectiveness and optimal timing of exome sequencing (ES) in adults and children with suspected monogenic glomerular diseases compared with nongenomic investigations (NGIs). Six diagnostic strategies reflecting current practice and recommended models of care in Australia were modeled: (i) NGIs, (ii) late gene panel followed by ES, (iii) late ES, (iv) early gene panel, (v) early gene panel followed by ES, and (vi) early ES. RESULTS ES with targeted analysis achieved a diagnosis in 23 of 63 (36.5%) adults and 10 of 24 (41.6%) children. NGIs were estimated to diagnose 4.0% of children, with an average estimated cost of AU$6120 per child. Integrating ES as a first-line test in children was cost saving, with an incremental cost saving of AU$3230 per additional diagnosis compared with NGIs. In adults, NGIs was estimated to diagnose 8% of patients, with an average estimated cost of AU$1830 per person. In adults, integrating ES early resulted in an incremental cost per additional diagnosis of AU$5460 relative to NGIs. CONCLUSIONS Early ES with targeted analysis was effective for diagnosing monogenic kidney disease, with substantial cost savings in children.
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Affiliation(s)
- Kushani Jayasinghe
- Department of Nephrology, Monash Medical Centre, Melbourne, Australia
- Monash University, Melbourne, Australia
- Murdoch Children’s Research Institute, Melbourne, Australia
- The KidGen Collaborative, Australian Genomics Health Alliance, Melbourne, Australia
| | - You Wu
- Centre for Health Policy, University of Melbourne, Melbourne, VIC, Australia
- Australian Genomics Health Alliance, Melbourne, VIC, Australia
| | - Zornitza Stark
- Murdoch Children’s Research Institute, Melbourne, Australia
- The KidGen Collaborative, Australian Genomics Health Alliance, Melbourne, Australia
- Department of Pediatrics, University of Melbourne, Australia
- Victorian Clinical Genetics Services, Melbourne, Australia
| | - Peter G. Kerr
- Department of Nephrology, Monash Medical Centre, Melbourne, Australia
- Monash University, Melbourne, Australia
| | - Andrew J. Mallett
- The KidGen Collaborative, Australian Genomics Health Alliance, Melbourne, Australia
- Department of Renal Medicine, Townsville University Hospital, Townsville, QLD, Australia
- College of Medicine and Dentistry, James Cook University, Townsville, QLD, Australia
- Institute for Molecular Bioscience, The University of Queensland, Brisbane, QLD, Australia
| | - Clara Gaff
- Department of Pediatrics, University of Melbourne, Australia
- Melbourne Genomics Health Alliance, Melbourne, Australia
| | - Melissa Martyn
- Murdoch Children’s Research Institute, Melbourne, Australia
- Melbourne Genomics Health Alliance, Melbourne, Australia
| | - Ilias Goranitis
- Centre for Health Policy, University of Melbourne, Melbourne, VIC, Australia
- Australian Genomics Health Alliance, Melbourne, VIC, Australia
| | - Catherine Quinlan
- Murdoch Children’s Research Institute, Melbourne, Australia
- The KidGen Collaborative, Australian Genomics Health Alliance, Melbourne, Australia
- Department of Pediatrics, University of Melbourne, Australia
- Department of Pediatric Nephrology, Royal Children’s Hospital, Melbourne, Australia
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16
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Elliott MD, James LC, Simms EL, Sharma P, Girard LP, Cheema K, Elliott MJ, Lauzon JL, Chun J. Mainstreaming Genetic Testing for Adult Patients With Autosomal Dominant Polycystic Kidney Disease. Can J Kidney Health Dis 2021; 8:20543581211055001. [PMID: 34733539 PMCID: PMC8558595 DOI: 10.1177/20543581211055001] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/17/2021] [Accepted: 08/28/2021] [Indexed: 12/17/2022] Open
Abstract
PURPOSE Genetic testing results are currently obtained approximately 1 year after referral to a medical genetics team for autosomal dominant polycystic kidney disease (ADPKD). We evaluated a mainstream genetic testing (MGT) pathway whereby the nephrology team provided pre-test counseling and selection of patients with suspected ADPKD for genetic testing prior to direct patient interaction by a medical geneticist. SOURCES OF INFORMATION A multidisciplinary team of nephrologists, genetic counselors, and medical geneticists developed an MGT pathway for ADPKD using current testing criteria for adult patient with suspected ADPKD and literature from MGT in oncology. METHODS An MGT pathway was assessed using a prospective cohort and compared to a retrospective cohort of 56 patients with ADPKD who received genetic testing using the standard, traditional pathway prior to implementing the MGT for ADPKD. The mainstream pathway was evaluated using time to diagnosis, diagnostic yield, and a patient survey to assess patient perceptions of the MGT pathway. KEY FINDINGS We assessed 26 patients with ADPKD using the MGT and 18 underwent genetic testing with return of results. Of them, 52 patients had data available for analysis in the traditional control cohort. The time for return of results using our MGT pathway was significantly shorter with a median time to results of 6 months compared to 12 months for the traditional pathway. We identified causative variants in 61% of patients, variants of uncertain significance in 28%, and 10% had negative testing which is in line with expectations from the literature. The patient surveys showed high satisfaction rates with the MGT pathway. LIMITATIONS This report is an evaluation of a new genetic testing pathway restricted to a single, publicly funded health care center. The MGT pathway involved a prospective collection of a limited number of patients with ADPKD with comparison to a retrospective cohort of patients with ADPKD evaluated by standard testing. IMPLICATIONS A MGT pathway using clearly defined criteria and commercially available gene panels for ADPKD can be successfully implemented in a publicly funded health care system to reduce the time required to obtain genetic results.
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Affiliation(s)
- Mark D. Elliott
- Department of Medicine, Cumming School of Medicine, University of Calgary, AB, Canada
| | - Leslie C. James
- Department of Medical Genetics, Alberta Children’s Hospital Research Institute, University of Calgary, AB, Canada
| | - Emily L. Simms
- Department of Medicine, Cumming School of Medicine, University of Calgary, AB, Canada
| | - Priyana Sharma
- Department of Medical Genetics, Alberta Children’s Hospital Research Institute, University of Calgary, AB, Canada
| | - Louis P. Girard
- Department of Medicine, Cumming School of Medicine, University of Calgary, AB, Canada
| | - Kim Cheema
- Department of Medicine, Cumming School of Medicine, University of Calgary, AB, Canada
| | - Meghan J. Elliott
- Department of Medicine, Cumming School of Medicine, University of Calgary, AB, Canada
| | - Julie L. Lauzon
- Department of Medical Genetics, Alberta Children’s Hospital Research Institute, University of Calgary, AB, Canada
- Department of Medical Genetics, Cumming School of Medicine, University of Calgary, AB, Canada
| | - Justin Chun
- Department of Medicine, Cumming School of Medicine, University of Calgary, AB, Canada
- Snyder Institute for Chronic Diseases, University of Calgary, AB, Canada
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17
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Pinto E Vairo F, Prochnow C, Kemppainen JL, Lisi EC, Steyermark JM, Kruisselbrink TM, Pichurin PN, Dhamija R, Hager MM, Albadri S, Cornell LD, Lazaridis KN, Klee EW, Senum SR, El Ters M, Amer H, Baudhuin LM, Moyer AM, Keddis MT, Zand L, Sas DJ, Erickson SB, Fervenza FC, Lieske JC, Harris PC, Hogan MC. Genomics Integration Into Nephrology Practice. Kidney Med 2021; 3:785-798. [PMID: 34746741 PMCID: PMC8551494 DOI: 10.1016/j.xkme.2021.04.014] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/17/2022] Open
Abstract
RATIONALE & OBJECTIVE The etiology of kidney disease remains unknown in many individuals with chronic kidney disease (CKD). We created the Mayo Clinic Nephrology Genomics Clinic to improve our ability to integrate genomic and clinical data to identify the etiology of unexplained CKD. STUDY DESIGN Retrospective study. SETTING & PARTICIPANTS An essential component of our program is the Nephrology Genomics Board which consists of nephrologists, geneticists, pathologists, translational omics scientists, and trainees who interpret the patient's clinical and genetic data. Since September 2016, the Board has reviewed 163 cases (15 cystic, 100 glomerular, 6 congenital anomalies of kidney and urinary tract (CAKUT), 20 stones, 15 tubulointerstitial, and 13 other). ANALYTICAL APPROACH Testing was performed with targeted panels, single gene analysis, or analysis of kidney-related genes from exome sequencing. Variant classification was obtained based on the 2015 American College of Medical Genetics and Genomics and the Association for Molecular Pathology guidelines. RESULTS A definitive genetic diagnosis was achieved for 50 families (30.7%). The highest diagnostic yield was obtained in individuals with tubulointerstitial diseases (53.3%), followed by congenital anomalies of the kidney and urological tract (33.3%), glomerular (31%), cysts (26.7%), stones (25%), and others (15.4%). A further 20 (12.3%) patients had variants of interest, and variant segregation, and research activities (exome, genome, or transcriptome sequencing) are ongoing for 44 (40%) unresolved families. LIMITATIONS Possible overestimation of diagnostic rate due to inclusion of individuals with variants with evidence of pathogenicity but classified as of uncertain significance by the clinical laboratory. CONCLUSIONS Integration of genomic and research testing and multidisciplinary evaluation in a nephrology cohort with CKD of unknown etiology or suspected monogenic disease provided a diagnosis in a third of families. These diagnoses had prognostic implications, and often changes in management were implemented.
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Affiliation(s)
- Filippo Pinto E Vairo
- Center for Individualized Medicine, Mayo Clinic, Rochester, Minnesota
- Department of Clinical Genomics, Mayo Clinic, Rochester, Minnesota
- Division of Nephrology & Hypertension, Mayo Clinic, Rochester, Minnesota
| | - Carri Prochnow
- Center for Individualized Medicine, Mayo Clinic, Rochester, Minnesota
- Department of Clinical Genomics, Mayo Clinic, Rochester, Minnesota
| | | | - Emily C Lisi
- Center for Individualized Medicine, Mayo Clinic, Rochester, Minnesota
| | - Joan M Steyermark
- Center for Individualized Medicine, Mayo Clinic, Rochester, Minnesota
| | | | - Pavel N Pichurin
- Department of Clinical Genomics, Mayo Clinic, Rochester, Minnesota
| | - Rhadika Dhamija
- Department of Clinical Genomics, Mayo Clinic, Scottsdale, Arizona
| | - Megan M Hager
- Department of Clinical Genomics, Mayo Clinic, Scottsdale, Arizona
| | - Sam Albadri
- Department of Laboratory Medicine & Pathology, Mayo Clinic, Rochester, Minnesota
| | - Lynn D Cornell
- Department of Laboratory Medicine & Pathology, Mayo Clinic, Rochester, Minnesota
| | - Konstantinos N Lazaridis
- Center for Individualized Medicine, Mayo Clinic, Rochester, Minnesota
- Division of Gastroenterology & Hepatology, Mayo Clinic, Rochester, Minnesota
| | - Eric W Klee
- Center for Individualized Medicine, Mayo Clinic, Rochester, Minnesota
- Department of Clinical Genomics, Mayo Clinic, Rochester, Minnesota
- Department of Quantitative Health Sciences, Mayo Clinic, Rochester, Minnesota
| | - Sarah R Senum
- Division of Nephrology & Hypertension, Mayo Clinic, Rochester, Minnesota
| | - Mireille El Ters
- Division of Nephrology & Hypertension, Mayo Clinic, Rochester, Minnesota
| | - Hatem Amer
- Division of Nephrology & Hypertension, Mayo Clinic, Rochester, Minnesota
| | - Linnea M Baudhuin
- Department of Laboratory Medicine & Pathology, Mayo Clinic, Rochester, Minnesota
| | - Ann M Moyer
- Department of Laboratory Medicine & Pathology, Mayo Clinic, Rochester, Minnesota
| | - Mira T Keddis
- Division of Nephrology, Mayo Clinic, Scottsdale, Arizona
| | - Ladan Zand
- Division of Nephrology & Hypertension, Mayo Clinic, Rochester, Minnesota
| | - David J Sas
- Division of Nephrology & Hypertension, Mayo Clinic, Rochester, Minnesota
| | - Stephen B Erickson
- Division of Nephrology & Hypertension, Mayo Clinic, Rochester, Minnesota
| | | | - John C Lieske
- Division of Nephrology & Hypertension, Mayo Clinic, Rochester, Minnesota
- Department of Laboratory Medicine & Pathology, Mayo Clinic, Rochester, Minnesota
| | - Peter C Harris
- Division of Nephrology & Hypertension, Mayo Clinic, Rochester, Minnesota
| | - Marie C Hogan
- Department of Clinical Genomics, Mayo Clinic, Rochester, Minnesota
- Division of Nephrology & Hypertension, Mayo Clinic, Rochester, Minnesota
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18
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Lanktree MB. Moving Nephrology Genetics into Clinical Care. KIDNEY360 2020; 1:1040-1041. [PMID: 35368787 PMCID: PMC8815480 DOI: 10.34067/kid.0005142020] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/24/2020] [Accepted: 09/21/2020] [Indexed: 11/27/2022]
Affiliation(s)
- Matthew B. Lanktree
- Division of Nephrology, Department of Medicine, McMaster University and St. Joseph’s Healthcare Hamilton, Hamilton, Ontario, Canada
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