Kidney Diseases

Analysis of all known genes associated with kidney diseases

Diseased kidneys can no longer adequately perform their essential functions, such as detoxifying the body, regulating water and electrolyte balance, regulating blood pressure, and producing hormones. The undoubted diagnosis of kidney disease is an important aid in recommending regular preventive checkups, formulating diets, and selecting medications. In addition, genetic diagnostics can not only be relevant to therapy but also provide indications for successful transplantation.

The Diagnostic Panel for Kidney Diseases is based on our proprietary, high-quality ExomeXtra® enrichment, covering all protein-coding regions as well as intronic and intergenic variants described as disease-relevant in the databases HGMD and ClinVar. In addition, the ExomeXtra® enrichment enables a genome-wide CNV calling with similar performance to array CGH. It thus provides the ideal basis for genetic diagnostics.

Are you insured in Germany? Our colleagues at the Zentrum für Humangenetik Tübingen will gladly support you!

What We Offer with the Panel for Kidney Diseases

Updates

The gene selection is regularly adapted to the current scientific knowledge

Flexibility

With ExomeXtra®, gene sets addressing different diseases can be combined

Comprehensive Medical Report

Including the ACMG criteria used to classify the variants

Highest Quality

All steps are carried out in-house

Our Promise to You

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Fast Turnaround Time

2–4 weeks after sample receipt

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Safety

Highest confidentiality and quality standards

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Reliability

Reliable support throughout all steps

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Comprehensibility

Clearly prepared medical report

Your Benefits

It is possible to request single or multiple predefined gene sets. In addition to the complete analysis of the genes of the requested gene set, we extend the analysis by additional genes for differential diagnosis. We report variants of unknown significance (ACMG class 3) and pathogenic and probably pathogenic variants (ACMG classes 4 and 5) for the primarily ordered gene set. For the genes included due to differential diagnosis, we restrict the reporting to pathogenic and probably pathogenic variants (ACMG classes 4 and 5), which could be related to the indication of the person seeking advice.

The Diagnostic Panel for Kidney Diseases is based on CeGaT’s ExomeXtra® enrichment. This allows, without additional sequencing, phenotypically eligible gene sets of other CeGaT panels or single genes to be additionally ordered. If you would like to assemble an individual panel, please feel free to contact us. We will be happy to support you.

In addition to the primary diagnostic assignment, the assessment of ACMG genes and pharmacogenetic profiling may also be ordered.

Method

The enrichment of the coding regions and the adjacent intronic regions is performed using an in-solution hybridization technology. The selection of the targeted regions and the design of the enrichment baits is performed in-house. High-throughput sequencing is performed on our Illumina platforms. Bioinformatic processing of the data is achieved using an in-house computer cluster.

Following data processing, our team of scientists and specialists in human genetics analyze the data and issue a medical report.

Sample Report

Information: The example report on epilepsy and brain development disorders illustrates how a report is structured.

General Information

Material

  • 1-2 ml EDTA blood (recommended sample type) or
  • 1-2 µg genomic DNA
  • Order Form with declaration of consent

Here you can find more information on how to ship your sample safely.

Costs

The prices for our human genetic diagnostics depend on the size of the selected diagnostic panel and the selected gene sets. All prices include sequencing, bioinformatic analysis, and issuing of a medical report by our team of experts in human genetic diagnostics.

Diagnostic Process

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Counseling & Test Selection

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Sampling & Shipment

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Sample Analysis

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Medical Report & Counseling

Gene Sets – Kidney Diseases

Nephronophthisis (KID01, 27 Genes)

ADAMTS9, ANKS6, ATXN10, CEP164, CEP290, CEP83, DCDC2, FAN1, GLIS2, IFT172, INVS, IQCB1, MAPKBP1, NEK8, NPHP3, NPHP4, RPGRIP1L, SDCCAG8, SLC41A1, TMEM67, TRAF3IP1, TTC21B, WDR19, WDR35, XPNPEP3, ZNF423

NPHP1 – Deletion/duplication analysis optional

Cystic Kidney Disease (KID02, 21 Genes)

ANKS6, BICC1, DNAJB11, DZIP1L, ETFA, GANAB, HNF1B, INVS, LRP5, MUC1, NPHP3, OFD1, PAX2, PKD1, PKD2, PKHD1, PMM2, SEC61A1, TMEM67, UMOD, VHL

*MUC1 contains an intronic, low complexity region – a 60 bp-VNTR domain, in which a genomic sequence is repeated in tandem. A duplication within the MUC1-VNTR domain is thought to be the most important pathogenic variant in this gene. However, this variant cannot be identified through our NGS methods (Bleyer et al., updated 2021, GeneReviews: Autosomal Dominant Tubulointerstitial Kidney Disease).

Renal Tubular Dysgenesis (KID03, 4 Genes)

ACE, AGT, AGTR1, REN

Renal Dysplasia, Renal Agenesia, CAKUT (KID04, 54 Genes)

ALDH1A2, BICC1, BMP4, BMP7, CDC5L, CHD1L, DACH1, DSTYK, EYA1, FGF20, FIBP, FOXC1, FRAS1, FREM1, FREM2, GATA2, GATA3, GDNF, GREB1L, GREM1, GRIP1, HNF1B, ITGA8, KIF14, LIFR, LRP4, MUC1*, NEK8, NPHP3, NRIP1, OSR1, PAX2, PBX1, RET, ROBO2, SALL1, SDCCAG8, SIX1, SIX2, SIX5, SLIT2, SOX17, SPRY1, SRGAP1, TBC1D1, TBX18, TBX6, TFAP2A, TRAP1, UMOD, UPK3A, WNT4, WNT5A, WT1

* MUC1 contains an intronic, low complexity region – a 60 bp-VNTR domain, in which a genomic sequence is repeated in tandem. A duplication within the MUC1-VNTR domain is thought to be the most important pathogenic variant in this gene. However, this variant cannot be identified through our NGS methods (Bleyer et al., updated 2021, GeneReviews: Autosomal Dominant Tubulointerstitial Kidney Disease).

Nephrotic Syndrome (KID05, 51 Genes)

ACTN4, ANKFY1, ANLN, APOE, APOL1, ARHGAP24, ARHGDIA, CD2AP, COQ2, COQ6, COQ8B, CRB2, CUBN, DGKE, DLC1, EMP2, FAT1, GAPVD1, INF2, ITGA3, ITGB4, ITSN1, ITSN2, KANK1, KANK2, KANK4, LAMB2, LMX1B, MAGI2, MYH9, MYO1E, NPHS1, NPHS2, NUP107, NUP133, NUP160, NUP205, NUP85, NUP93, PDSS2, PLCE1, PTPRO, SGPL1, SMARCAL1, TBC1D8B, TNS2, TRPC6, TTC21B, WDR73, WT1, XPO5

Focal Segmental Glomerulosclerosis (KID06, 34 Genes)

ACTN4, ANLN, APOL1, ARHGAP24, CD2AP, COL4A3, COL4A4, COL4A5, COQ2, COQ6, COQ8B, CRB2, FBXW7, INF2, LAMA5, LAMB2, LMNA, LMX1B, MYH9, MYO1E, NPHP1, NPHP4, NPHS1, NPHS2, NUP107, NXF5, PAX2, PDSS2, PLCE1, SMARCAL1, SYNPO, TRPC6, TTC21B, WT1

Alport Syndrome and Disorders of Glomerular Basement Membrane (GBM) (KID07, 8 Genes)

CD151, COL4A3, COL4A4, COL4A5, FN1, LMX1B, MYH9, PXDN

C1q Deficiency (KID08, 3 Genes)

C1QA, C1QB, C1Q

Renal Tubular Acidosis (KID09, 9 Genes)

ATP6V0A4, ATP6V1B1, BCS1L, CA2, FOXI1, SLC4A1, SLC4A4, VIPAS39, VPS33B

Bartter Syndrome and Differential Diagnosis (KID10, 18 Genes)

ATP1A1, BSND, CASR, CLCNKA, CLCNKB, CLDN16, CLDN19, CNNM2, EGF, FXYD2, GNA11, HNF1B, KCNJ1, KCNJ10, MAGED2, SLC12A1, SLC12A3, TRPM6

Hypophosphatemic Rickets (KID11, 15 Genes)

ALPL, CLCN5, CYP27B1, CYP2R1, DMP1, ENPP1, FAH, FGF23, KL, OCRL, PHEX, SLC34A1, SLC34A3, SLC9A3R1, VDR

Pseudohypoaldosteronism (KID12, 9 Genes)

CUL3, HSD11B2, KLHL3, NR3C2, SCNN1A, SCNN1B, SCNN1G, WNK1, WNK4

Diabetes Insipidus, Nephrogenic (KID13, 4 Genes)

AQP2, AVP, AVPR2, SLC12A1

Hyperoxaluria (KID14, 3 Genes)

AGXT, GRHPR, HOGA1

Atypical Hemolytic Uremic Syndrome and Differential Diagnosis*(KID15, 19 Genes)

ADAMTS13, C3, CD46, CFB, CFH, CFHR1, CFHR2, CFHR3, CFHR4, CFHR5, CFI, CLU, DGKE, MMACHC, MMADHC, MMUT, PIGA, PLG, THBD

* Please note that a molecular genetic test for the detection of known CFHR1/CFHR4 and CFHR3/CFHR1 deletions as well as CFHR1/CFH and CFH/CFHR1 hybrid alleles is currently in validation phase.

Primary Inherited Aminoacidurias (KID16, 8 Genes)

SLC1A1, SLC2A2, SLC36A2, SLC3A1, SLC6A19, SLC6A20, SLC7A7, SLC7A9

Branchiootorenal Syndrome (KID17, 5 Genes)

EYA1, SALL1, SIX1, SIX5, TFAP2A

Bardet-Biedl Syndrome (KID18, 32 Genes)

ALMS1, ARL6, BBIP1, BBS1, BBS10, BBS12, BBS2, BBS4, BBS5, BBS7, BBS9, C8orf37, CCDC28B, CEP164, CEP19, CEP290, CEP41, IFT172, IFT27, IFT74, KIF7, LZTFL1, MKKS, MKS1, NPHP1, SDCCAG8, TMEM67, TRAPPC3, TRIM32, TTC21B, TTC8, WDPCP

Joubert Syndrome (KID19, 46 Genes)

AHI1, ARL13B, ARL3, ARMC9, B9D1, B9D2, C2CD3, CC2D2A, CELSR2, CEP104, CEP120, CEP164, CEP290, CEP41, CPLANE1, CSPP1, EXOC8, FAM149B1, HYLS1, IFT172, IFT74, INPP5E, KIAA0556, KIAA0586, KIAA0753, KIF7, MKS1, NPHP1, OFD1, PDE6D, PIBF1, POC1B, RPGRIP1L, SUFU, TCTN1, TCTN2, TCTN3, TMEM107, TMEM138, TMEM216, TMEM218, TMEM231, TMEM237, TMEM67, TTC21B, ZNF423

Meckel Syndrome (KID20, 25 Genes)

AHI1, B9D1, B9D2, CC2D2A, CEP120, CEP290, CEP55, CSPP1, KIAA0586, KIAA0753, KIF14, MKS1, NPHP3, RPGRIP1L, TCTN1, TCTN2, TMEM107, TMEM138, TMEM216, TMEM231, TMEM237, TMEM67, TTC21B, TXNDC15, WDPCP

Senior-Loken Syndrome (KID21, 13 Genes)

CEP164, CEP290, INVS, IQCB1, NPHP1, NPHP3, NPHP4, SCLT1, SDCCAG8, TMEM67, TRAF3IP1, WDR19, ZNF423

Gene Directory – Panel for Kidney Diseases

ACE, ACTN4, ADAMTS13, ADAMTS9, AGT, AGTR1, AGXT, AHI1, ALDH1A2, ALMS1, ALPL, ANKFY1, ANKS6, ANLN, APOE, APOL1, AQP2, ARHGAP24, ARHGDIA, ARL13B, ARL3, ARL6, ARMC9, ATP1A1, ATP6V0A4, ATP6V1B1, ATXN10, AVP, AVPR2, B9D1, B9D2, BBIP1, BBS1, BBS10, BBS12, BBS2, BBS4, BBS5, BBS7, BBS9, BCS1L, BICC1, BMP4, BMP7, BSND, C1QA, C1QB, C1QC, C2CD3, C3, CA2, CASR, CC2D2A, CCDC28B, CD151, CD2AP, CD46, CDC5L, CELSR2, CEP104, CEP120, CEP164, CEP19, CEP290, CEP41, CEP55, CEP83, CFAP418, CFB, CFH, CFHR1, CFHR2, CFHR3, CFHR4, CFHR5, CFI, CHD1L, CLCN5, CLCNKA, CLCNKB, CLDN16, CLDN19, CLU, CNNM2, COL4A3, COL4A4, COL4A5, COQ2, COQ6, COQ8B, CPLANE1, CRB2, CSPP1, CUBN, CUL3, CYP27B1, CYP2R1, DACH1, DCDC2, DGKE, DLC1, DMP1, DNAJB11, DSTYK, DZIP1L, EGF, EMP2, ENPP1, ETFA, EXOC8, EYA1, FAH, FAM149B1, FAN1, FAT1, FBXW7, FGF20, FGF23, FIBP, FN1, FOXC1, FOXI1, FRAS1, FREM1, FREM2, FXYD2, GANAB, GAPVD1, GATA2, GATA3, GDNF, GLIS2, GNA11, GREB1L, GREM1, GRHPR, GRIP1, HNF1B, HOGA1, HSD11B2, HYLS1, IFT172, IFT27, IFT74, INF2, INPP5E, INVS, IQCB1, ITGA3, ITGA8, ITGB4, ITSN1, ITSN2, KANK1, KANK2, KANK4, KATNIP, KCNJ1, KCNJ10, KIAA0586, KIAA0753, KIF14, KIF7, KL, KLHL3, LAMA5, LAMB2, LIFR, LMNA, LMX1B, LRP4, LRP5, LZTFL1, MAGED2, MAGI2, MAPKBP1, MKKS, MKS1, MMACHC, MMADHC, MMUT, MUC1, MYH9, MYO1E, NEK8, NHERF1, NPHP1, NPHP3, NPHP4, NPHS1, NPHS2, NR3C2, NRIP1, NUP107, NUP133, NUP160, NUP205, NUP85, NUP93, NXF5, OCRL, OFD1, OSR1, PAX2, PBX1, PDE6D, PDSS2, PHEX, PIBF1, PIGA, PKD1, PKD2, PKHD1, PLCE1, PLG, PMM2, POC1B, PTPRO, PXDN, REN, RET, ROBO2, RPGRIP1L, SALL1, SCLT1, SCNN1A, SCNN1B, SCNN1G, SDCCAG8, SEC61A1, SGPL1, SIX1, SIX2, SIX5, SLC12A1, SLC12A3, SLC1A1, SLC2A2, SLC34A1, SLC34A3, SLC36A2, SLC3A1, SLC41A1, SLC4A1, SLC4A4, SLC6A19, SLC6A20, SLC7A7, SLC7A9, SLIT2, SMARCAL1, SOX17, SPRY1, SRGAP1, SUFU, SYNPO, TBC1D1, TBC1D8B, TBX18, TBX6, TCTN1, TCTN2, TCTN3, TFAP2A, THBD, TMEM107, TMEM138, TMEM216, TMEM218, TMEM231, TMEM237, TMEM67, TNS2, TRAF3IP1, TRAP1, TRAPPC3, TRIM32, TRPC6, TRPM6, TTC21B, TTC8, TXNDC15, UMOD, UPK3A, VDR, VHL, VIPAS39, VPS33B, WDPCP, WDR19, WDR35, WDR73, WNK1, WNK4, WNT4, WNT5A, WT1, XPNPEP3, XPO5, ZNF423

Additional Services

HLA-Typing (HLA01)

HLA class I (Gene A, B, C) and HLA class II (Gene DPA1, DPB1, DQA1, DQB1, DRB1, DRB3, DRB4, DRB5)

ACMG Genes

Genetic variation may sometimes be identified, which does not fit within the scope of the requested genetic analysis (so-called secondary findings). The reporting of these variants is limited to pathogenic alterations (ACMG classes 4 and 5) within selected genes, for which a treatment or course of action exists for you or your family (according to the current guidelines of the American College of Medical Genetics and Genomics).

Details on genes and associated diseases can be found here

Pharmacogenetics

Pharmacogenetic analysis detects genetic changes that affect the effectiveness of drugs. Genetic variants that affect proteins responsible for the metabolism of substances can significantly change their tolerance and efficacy. These drugs include, among others, antidepressants, pain relievers, neuroleptics, chemotherapeutics, AIDS drugs, thrombosis drugs, anesthetics, beta-blockers, or statins.

The reduced activity of a specific enzyme can lead to an increased drug level in the standard dosage, which is often associated with undesirable side effects. With drugs that are only activated by metabolism, the therapeutic effect can be completely absent. Likewise, due to the resulting increased rate of degradation of the medicinal substance, an increased enzyme activity leads to inadequate effectiveness of the therapy.

The pharmacogenetics option analyzes known variants in twenty-one genes involved in the metabolism of drugs. If specific gene variants occur, the treating doctor can adapt the therapy individually. The pharmacogenetic analysis can minimize serious side effects and helps to avoid failure of the treatment.

Details on genes and more infomation can be found here

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Sample Report EPI

* The example report on epilepsy and brain development disorders illustrates how a report is structured.

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Keimbahn Team der CeGaT