| Literature DB >> 35372818 |
Prasad Devarajan1, Glenn M Chertow2, Katalin Susztak3, Adeera Levin4, Rajiv Agarwal5, Peter Stenvinkel6, Arlene B Chapman7, Bradley A Warady8.
Abstract
Chronic kidney disease (CKD) afflicts 15% of adults in the United States, of whom 25% have a family history. Genetic testing is supportive in identifying and possibly confirming diagnoses of CKD, thereby guiding care. Advances in the clinical genetic evaluation include next-generation sequencing with targeted gene panels, whole exome sequencing, and whole genome sequencing. These platforms provide DNA sequence reads with excellent coverage throughout the genome and have identified novel genetic causes of CKD. New pathologic genetic variants identified in previously unrecognized biological pathways have elucidated disease mechanisms underlying CKD etiologies, potentially establishing prognosis and guiding treatment selection. Molecular diagnoses using genetic sequencing can detect rare, potentially treatable mutations, avoid misdiagnoses, guide selection of optimal therapy, and decrease the risk of unnecessary and potentially harmful interventions. Genetic testing has been widely adopted in pediatric nephrology; however, it is less frequently used to date in adult nephrology. Extension of clinical genetic approaches to adult patients may achieve similar benefits in diagnostic refinement and treatment selection. This review aimed to identify clinical CKD phenotypes that may benefit the most from genetic testing, outline the commonly available platforms, and provide examples of successful deployment of these approaches in CKD.Entities:
Keywords: Chronic kidney disease; clinical genetics; genetic causes; genetic disorders; genetic testing; next-generation sequencing
Year: 2022 PMID: 35372818 PMCID: PMC8971313 DOI: 10.1016/j.xkme.2022.100435
Source DB: PubMed Journal: Kidney Med ISSN: 2590-0595
Figure 1Indications for genetic testing in CKD. Clinical genetics should be considered in CKD if the etiology is unclear, when a genetic component is clinically suspected (positive family history, early onset, extrarenal manifestations, unusual disease course), or to guide therapy (eg, immunosuppression management, pretransplant evaluation). Abbreviation: CKD, chronic kidney disease.
Figure 2Different approaches to genetic testing. Sanger sequencing is limited to a narrow portion of the genome. In targeted gene panels, only coding portions of a specific set of genes are targeted. Whole exome sequencing captures almost all coding sequences, and whole genome sequencing covers nearly all regions of the genome.
Comparison of Next-Generation DNA Sequencing Strategies
| Targeted Panels | Whole Exome Sequencing | Whole Genome Sequencing | |
|---|---|---|---|
| Strengths | Readily standardizable Rapid interpretation for clinical use Low costs Easy clinical implementation | Detection of CNVs Research applications Feasible in clinical routine Low price/performance ratio | Comprehensive assessment of entire genomes Highest resolution of genomic alterations SNVs in enhancer/promoter and ncRNA regions Accurate characterization of CNVs, offering position and orientation information; possibility of false-positive results due to incorrect or ambiguous mapping of sequence reads to the reference genome Decreasing costs Subject to future studies |
| Weaknesses | Limited, “peephole” observations Limited value for research Limited assessment of complex aberrations | Not fully comprehensive Lower CNV resolution Amplification or exon capture necessary High bioinformatic effort Demanding clinical interpretation Time-consuming workflow | Uncertain value for clinical interpretation Most expensive |
Note: This table (modified from original) is used under a Creative Commons CC BY-NC 4.0 License specific to the article published by Elsevier Limited on behalf of the European Society for Medical Oncology: Horak P, Fröhling S, Glimm H. Integrating next-generation sequencing into clinical oncology: strategies, promises and pitfalls. ESMO Open. 2016;1:e000094. https://doi.org/10.1136/esmoopen-2016-000094.
Abbreviations: CNV, copy number variant; ncRNA, noncoding RNA; SNV, single nucleotide variant.
Results With Targeted Gene Panels in CKD
| Study | Participants | Key Results |
|---|---|---|
| Rasouly et al 2019 | A convenience sample of exome sequence data from 7,974 self-declared healthy adults | Evaluation of the prevalence of candidate pathogenic variants in 625 genes correlated with Mendelian kidney and genitourinary disorders. In total, 23.3% had a candidate pathogenic variant, most of which were due to previously reported variants with high allele frequencies. |
| Trautmann et al 2018 | Registry including >2,000 pediatric patients with steroid-resistant nephrotic syndrome | NGS-based gene panel screening with >30 podocyte-related genes complemented by WES achieved genetic diagnoses in 24% of the patients screened, broadened the spectrum of genetic disease entities presenting with steroid-resistant nephrotic syndrome phenotype ( |
| Bullich et al 2018 | 421 patients with known or suspected inherited kidney diseases | 78% of cystic and 62% of glomerular cases in the diagnostic cohort had a genetic cause. |
| Gast et al | 81 adults from 76 families (24 families with a history of kidney disease) | NGS identified collagen gene mutations in 38% of families with familial FSGS, and 3% with sporadic FSGS; >50% of the mutations occurred in |
| Gribouval et al 2018 | 135 patients with adult-onset steroid-resistant nephrotic syndrome and/or FSGS | Pathogenic mutations were found in 30 patients (22%), including 16 (12%) with mutations in known monogenic |
| Yao et al | Probands with a pathologic diagnosis of FSGS and relatives with >500-mg protein excretion/d (total of 193 individuals from 179 families) | Pathogenic variants in |
| Papazachariou et al 2017 | 24 families with members having familial microscopic hematuria assessed for the presence of one of a genetically heterogeneous group of conditions, including the collagen IV nephropathies, heritable complement C3/CFHR5 nephropathy, and glomerulopathy with fibronectin deposits | In 17 of the 24 families (71%), 15 pathogenic mutations in |
| Mantovani et al 2020 | 212 patients with suspected ADPKD | Causative variants were detected in 61.3% of index patients and others of uncertain clinical significance in 12.5%. Most (88%) variants were in |
Abbreviations: ADPKD, autosomal dominant polycystic kidney disease; APOL1, apolipoprotein L1; CKD, chronic kidney disease; CLCN5, chloride voltage-gated channel 5; COL4A, collagen type IV α-chain; FSGS, focal segmental glomerulosclerosis; MYOE1, myosin 1E; NGS, next-generation sequencing; PKD, polycystic kidney disease; PTPRO, protein tyrosine phosphatase receptor type O; WES, whole exome sequencing.
Results With Whole Exome Sequencing in Patients With CKD
| Study | Participants | Key Results |
|---|---|---|
| Groopman et al 2019 | 3,315 patients with CKD | Genetic causes were identified in 307, or nearly 10%, of the 3,315 patients, and 30% of patients with a genetic finding were discovered to have abnormalities in the |
| Lata et al 2018 | 92 adults with CKD of unknown cause, familial nephropathy, or hypertension | WES provided a diagnosis in 24% of patients, which included 9 probands with CKD of unknown cause and 13 distinct genetic disorders. Loss-of-function mutations were identified in |
| Wang et al 2018 | 9 MODY probands with biopsy-proven DKD and their families | Evaluation of gene function, protein-protein interactions, and phenotypic differences between probands and parents demonstrated that |
| Cameron-Christie et al 2019 | 3,150 patients with broad clinical subcategories of CKD and a control cohort of 9,563 healthy, unrelated individuals | The genes |
| Yamamoto et al 2017 | Single family with medullary cystic kidney disease | WES demonstrated a novel frameshift mutation before the variable number of tandem repeat region in the |
| Tang et al 2019 | 2 patients with infantile nephronophthisis, and 3 patients had juvenile nephronophthisis | The 2 patients with infantile nephronophthisis had |
Abbreviations: CKD, chronic kidney disease; COL4A, collagen type IV α-chain; DKD, diabetic kidney disease; MODY, maturity-onset diabetes of the young; MUC1, mucin 1; NPHP, nephrocystin; PARN, poly(A)-specific ribonuclease; PKD, polycystic kidney disease; TBMN, thin basement membrane nephropathy; WES, whole exome sequencing.
Results With Whole Genome Sequencing in Patients With CKD
| Study | Participants | Key Results |
|---|---|---|
| Lanktree et al 2018 | Results from 2 large databases were used to measure the frequency of high-confidence mutations presumed to be causative in ADPKD and ADPLD | Genes potentially relevant as cyst modifiers and truncating mutations in ADPLD genes were identified in 103.9 and 20.2 per 10,000 sequenced, respectively. A greater-than-expected frequency of loss-of-function mutations in ADPLD genes also suggested the possibility of unrecognized cases and incomplete penetrance. |
| Guo et al 2020 | Finnish siblings with type 1 diabetes who were discordant for the presence or absence of diabetic nephropathy | Diabetic nephropathy-associated variants were enriched in a network representing proteins essential for podocyte function when clustered at the gene level and include protein kinases and protein tyrosine kinase 2. |
| Larrue et al 2020 | 2 patients with nephronophthisis | WGS identified 2 putative disease-causing intronic mutations in the |
| Levine et al 2020 | 146 patients with primary membranoproliferative GN and 6,442 individuals without kidney disease (controls) | A significant common variant locus was identified at 6p21.32 (rs35406322) overlapping the HLA locus. |
Abbreviations: ADPKD, autosomal dominant polycystic kidney disease; ADPLD, autosomal dominant polycystic liver disease; CKD, chronic kidney disease; GN, glomerulonephropathy; HLA, human leukocyte antigen; NPHP3, nephrocystin 3; WGS, whole genome sequencing.
Clinical Impact of Genetic Testing in Kidney Diseases
| Indication | Genetic Finding | Genetic Diagnosis | Clinical Impact | References |
|---|---|---|---|---|
| Steroid-resistant nephrotic syndrome | Homozygous Fin-major mutation in | Nephrotic syndrome type 1 (OMIM #256300) | Increased risk of posttransplant disease recurrence | 57, 58 |
| CoQ10 deficiency 1 (OMIM #607426) | CoQ10 supplementation can attenuate proteinuria and extrarenal complications such as encephalopathy | 59, 60 | ||
| Alport syndrome (OMIM #104200; #203780) or TBMD (OMIM #141200) | Distinguishes between autosomal ( Missense mutations are associated with less severe disease and slower progression to kidney failure and loss-of-function mutations Avoids immunosuppression (a commonly used therapy for nephrotic syndrome) | 61-64 | ||
| Cystic renal dysplasia | 17q12 deletion | Renal cysts and diabetes syndrome (OMIM #137920) | Multisystem work-up for associated extrarenal complications, including testing for diabetes, exocrine pancreatic insufficiency, hepatic function, neurologic anomalies, and/or neurocognitive impairment | 65-67 |
| Nephrolithiasis | APRT deficiency (OMIM #614723) | Xanthine dehydrogenase inhibition to prevent crystalline nephropathy and allograft loss | 68, 69 | |
| Episodic hypertension | Hereditary paraganglioma-pheochromocytoma syndrome (OMIM #168000) | Imaging studies to screen for additional tumors Catecholamine antagonists and/or surgical tumor resection Knowledge of parent-of-origin effect due to maternal imprinting informs genetic counseling Lower risk of malignancy than other genetic causes of familial paraganglioma-pheochromocytoma syndromes informs prognosis | 70, 71 | |
| Failure to thrive, hepatomegaly, and hyperuricemia | Glycogen storage disease Ia (OMIM #232200) | Dietary therapy (frequent meals, nasogastric tube, and/or raw starch to prevent hypoglycemia; oral bicarbonate and avoidance of fructose and glucose to prevent acidosis) Surveillance for hepatic adenoma; liver transplant may be needed | 72, 73 |
Note: Reproduced from Groopman et al with permission of Springer Nature.
Abbreviations: APRT, adenine phosphoribosyltransferase; COL4A, collagen type IV α-chain; CoQ10, coenzyme Q10; COQ2, coenzyme Q2, polyprenyltransferase; G6PC, glucose-6-phosphatase catalytic subunit; NPHS1, nephrin; SDHD, succinate dehydrogenase complex subunit D; TBMD, thin basement membrane disease.