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Basic Research
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Using Population Genetics to Interrogate the Monogenic Nephrotic Syndrome Diagnosis in a Case Cohort

Matthew G. Sampson, Christopher E. Gillies, Catherine C. Robertson, Brendan Crawford, Virginia Vega-Warner, Edgar A. Otto, Matthias Kretzler and Hyun Min Kang
JASN July 2016, 27 (7) 1970-1983; DOI: https://doi.org/10.1681/ASN.2015050504
Matthew G. Sampson
Departments of *Pediatrics and Communicable Diseases, and
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Christopher E. Gillies
Departments of *Pediatrics and Communicable Diseases, and
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Catherine C. Robertson
Departments of *Pediatrics and Communicable Diseases, and
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Brendan Crawford
Departments of *Pediatrics and Communicable Diseases, and
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Virginia Vega-Warner
Departments of *Pediatrics and Communicable Diseases, and
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Edgar A. Otto
Departments of *Pediatrics and Communicable Diseases, and
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Matthias Kretzler
†Internal Medicine, Division of Nephrology and
‡Department of Computational Medicine and Bioinformatics, University of Michigan School of Medicine, Ann Arbor, Michigan; and
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Hyun Min Kang
§Department of Biostatistics, University of Michigan School of Public Health, Ann Arbor, Michigan
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  • Figure 1.
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    Figure 1.

    Substantial discordance between variant level functional prediction methods. From 1220 variants in 21 SRNS genes identified in the 1000G, the top 25% scored as most deleterious (n=255) by each of Polyphen2, SIFT, and MutationTaster were studied for concordance of prediction. Requiring one of three methods to classify variants as damaging implicates 493 variants as causal. Two of three implicate 210 variants as causal. Requiring all three programs to be in concordance reduced the number of causal variants to 62.

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    Figure 2.

    Transcript-specific filtering influences the accuracy of monogenic diagnosis. The horizontal axis represents the base position in the coding sequence of the INF2 gene on the basis of the longest transcript. The vertical axis is the combined annotated–dependent depletion (CADD) score of each potential variant. All possible missense and nonsense variants in this region are plotted in gray. Blue indicates variants observed in the 1000G, and orange indicates variants observed in 311 subjects with NS. Yellow indicates known pathogenic variants reported in ClinVar 138. The green interval represents the exons for the most selected transcript with the highest TIMS score (ENST00000398337). It is apparent that rare variants found in patients with NS are enriched in this transcript, whereas rare variants found in the 1000G are not. CDS, coding DNA sequence.

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    Figure 3.

    Increasing the number of genes sequenced increased the prevalence of incorrectly identified variants. The horizontal axis is the number of candidate genes sequenced assuming median gene length (1271 bp), and the vertical axis is the proportion of individuals classified with a monogenic diagnosis. Under assumptions of a fixed background prevalence and false negative rate, curves represent the total proportions of monogenic diagnosis, those expected to be correct, and those expected to be incorrect.

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    Figure 4.

    Effect of prevalence of true monogenic NS on the relative risk of a variant found in the 21–gene SRNS gene set being in a patient who is monogenic versus population control. The horizontal axis is the prevalence of monogenic NS in a population. As the prevalence of monogenic NS increases, the relative risk of the variant being in a patient versus a subject in the 1000G increases as well.

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    Figure 5.

    Achievement of complete remission does not significantly differ by monogenic status. Unadjusted Kaplan–Meier plot of the proportion of CR in patients with NS stratified by monogenic status. Plot is truncated at day 1000. P value was determined with an unadjusted Cox proportional hazards model of CR and monogenic status. HR, hazard ratio.

  • Figure 6.
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    Figure 6.

    Genome–wide background prevalence of rare and deleterious variants. All coding variants observed in the 1000G were classified as pathogenic or benign on the basis of stringent filtering criteria (maximum ancestry–specific EVS MAF<0.1%, 1000G MAF<5%, and loss of function or nonsynonymous and passing the two of three functional filter). Then, for each gene, the resulting background prevalence of predicted pathogenic mutations is calculated. A background prevalence of 1% for a given gene indicates that 1% of subjects in the 1000G carry a rare and deleterious variant in this gene. Subsets of genes (Concise Methods) and inheritance models considered are represented on the horizontal axis. Bars depict the proportions of genes within a gene set having background prevalence of predicted pathogenic variation within specific ranges. hOMIM, hand curated Online Mendelian Inheritance in Man; MAF, minor allele frequency.

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    Table 1.

    Clinical and demographic characteristics of 312 subjects with NS

    NameValue or Distribution
    Median age, yr34
    Age range, yr2–84
    Histologic diagnosisFSGS (30%), minimal change (22%), membranous (15%), IgA nephropathy (10%), others (23%; Supplemental Table 1)
    Fraction of pediatric patients30%
    Continental ancestryEuropean (48%), African (29%), admixed American (15%), East Asian (9%)
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    Table 2.

    Genes implicated in SRNS undergoing sequencing

    Inheritance ModeGenes
    DominantACTN4, CD2AP, CFH, INF2, LMX1B, TRPC6, WT1
    RecessiveCOQ2, COQ6, CUBN, ITGA3, LAMB2, MYO1E, NEIL1, NPHS1, NPHS2, PDSS2, PLCE1, PTPRO, SCARB2, SMARCAL1
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    Table 3.

    Characteristics of the default filter devised to classify variants as causal for NS

    ParameterDefault
    No. of genes21
    AF threshold in sequenced samples<5%
    AF threshold in the EVS<0.5% (dominant gene); <1% (recessive gene)
    AF threshold in the 1000GNot used
    Functional prediction thresholdPredicted damaging by two of three of PolyPhen2, SIFT, and MutationTaster (A or D)
    Transcript specificityLongest transcript
    Conservation score (GERP)Not used
    • GERP, genome evolutionary rate profiling.

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    Table 4.

    Characteristics of the stringent filter devised to classify variants as causal for NS

    ParameterDefault
    No. of genes21
    AF threshold in sequenced samples<5%
    AF threshold in the EVS<0.1% (dominant gene); <0.1% (recessive gene)
    AF threshold in the 1000G<1% in any of 26 populations
    Functional prediction thresholdPredicted damaging by two of three of PolyPhen2, SIFT, and MutationTaster
    Transcript specificityMost negatively selected
    Conservation score (GERP)>4
    • GERP, genome evolutionary rate profiling.

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    Table 5.

    Characteristics of patients with NS classified with monogenic NS

    SubjectAncestryHistologyGeneGenotypeAmino Acid ChangeHGMDPediatricRemissionImmunosuppressive AgentRAAS Agent
    1AFRMCDNPHS1HOM_ALTp.A765VNoYesCompleteNoneYes
    2AMRFSGSTRPC6HETp.N765SNoYesCompleteSteroidYes
    3AFRMCDCD2APHETp.M496IYesYesCompleteSteroidNo
    4EURIgM nephropathyWT1HETp.C350RNoYesCompleteSteroid, tacrolimus, MMFNo
    5EURICGNINF2HETp.E220KYesYesNoneNoneYes
    6EURFSGSNPHS2HOM_ALTp.A284VYesYesNoneNoneYes
    7EURMCDINF2HETp.A13TYesNoCompleteSteroidYes
    8EURFSGSTRPC6HETp.D798HNoNoPartialNoneYes
    LMX1BHETp.D374NNo
    9AMRFSGSINF2HETp.P35RNoNoPartialSteroid, CNIYes
    • AFR, African 1000G continental ancestry; AMR, American 1000G continental ancestry; EUR, European continental ancestry; MCD, minimal change disease; ICGN, immune complex GN; HOM_ALT, homozygous for the alternative allele; HET, heterozygous variant; MMF, mycophenolate mofetil; CNI, calcineurin inhibitor; RAAS, renin-angiotensin-aldosterone system.

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    Table 6.

    Prevalence of monogenic NS by selected subsets

    Description of SubsetsClassified Monogenic (%; Fraction)
    Overall2.9 (9/312)
    Pediatric6.3 (6/95)
    Pediatric + FSGS6.7 (2/30)
    Pediatric + FSGS + no CR6.3 (1/16)
    Pediatric + FSGS + CR7.1 (1/14)
    Pediatric + FSGS or MCD5.5 (4/73)
    Pediatric + no CR5.6 (2/36)
    Pediatric + CR6.8 (4/59)
    Adult1.4 (3/217)
    Adult + FSGS2.7 (2/75)
    Adult + FSGS + no CR3.8 (2/53)
    Adult + FSGS + CR0.0 (0/22)
    Adult + FSGS or MCD3.2 (3/95)
    Adult + no CR1.5 (2/133)
    Adult + CR1.2 (1/84)
    All + FSGS3.8 (4/105)
    All + FSGS + no CR4.3 (3/69)
    All + FSGS + CR2.8 (1/36)
    All + FSGS or MCD4.2 (7/168)
    All + not FSGS2.4 (5/207)
    All + no CR2.4 (4/169
    All + CR3.5 (5/143)
    • MCD, minimal change disease.

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Journal of the American Society of Nephrology: 27 (7)
Journal of the American Society of Nephrology
Vol. 27, Issue 7
July 2016
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Using Population Genetics to Interrogate the Monogenic Nephrotic Syndrome Diagnosis in a Case Cohort
Matthew G. Sampson, Christopher E. Gillies, Catherine C. Robertson, Brendan Crawford, Virginia Vega-Warner, Edgar A. Otto, Matthias Kretzler, Hyun Min Kang
JASN Jul 2016, 27 (7) 1970-1983; DOI: 10.1681/ASN.2015050504

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Using Population Genetics to Interrogate the Monogenic Nephrotic Syndrome Diagnosis in a Case Cohort
Matthew G. Sampson, Christopher E. Gillies, Catherine C. Robertson, Brendan Crawford, Virginia Vega-Warner, Edgar A. Otto, Matthias Kretzler, Hyun Min Kang
JASN Jul 2016, 27 (7) 1970-1983; DOI: 10.1681/ASN.2015050504
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