Abstract
Purpose
To identify the molecular basis of inherited retinal degeneration (IRD) in a familial case of Pakistani origin using whole-exome sequencing.
Methods
A thorough ophthalmic examination was completed, and genomic DNA was extracted using standard protocols. Whole exome(s) were captured with Agilent V5 + UTRs probes and sequenced on Illumina HiSeq genome analyzer. The exome-Suite software was used to filter variants, and the candidate causal variants were prioritized, examining their allele frequency and PolyPhen2, SIFT, and MutationTaster predictions. Sanger dideoxy sequencing was performed to confirm the segregation with disease phenotype and absence in ethnicity-matched control chromosomes.
Results
Ophthalmic examination confirmed retinal degeneration in all affected individuals that segregated as an autosomal recessive trait in the family. Whole-exome sequencing identified two homozygous missense variants: c.1304G > A; p.Arg435Gln in ZNF408 (NM_024741) and c.902G > A; p.Gly301 Asp in C1QTNF4 (NM_031909). Both variants segregated with the retinal phenotype in the PKRD320 and were absent in ethnically matched control chromosomes.
Conclusion
Whole-exome sequencing coupled with bioinformatics analysis identified potential novel variants that might be responsible for IRD.
Keywords: Retinal degeneration, Whole-exome sequencing, Novel variants, ZNF408, C1QTNF4
27.1. Introduction
Retinal degenerations (RD) are the most common form of retinal dystrophy that affects 1 in 3000 individuals (Boughman et al. 1980). The disease is characterized by the progressive degeneration of photoreceptors, ultimately leading to blindness (Heckenlively 1988; Inglehearn 1998; Daiger et al. 2013). In the Retinal Information Network, currently, there are approximately 256 retinal disease-causing genes (RetNet; Hartong et al. 2006).
Mutations in these genes have been associated with a wide range of retinal phenotypes including cone or cone-rod dystrophy, leber congenital amaurosis, optic atrophy, retinitis pigmentosa, Usher syndrome, x-linked, and mitochondrial (Carr et al. 1978; Boughman and Fishman 1983; Boughman et al. 1983; Cremers et al. 1998; Morimura et al. 1998; Ayyagari et al. 2000; Nochez et al. 2009; Kenney et al. 2013). More than 187 genes have been reported that are involved with arRD (RetNet). Patients with arRD have a wide variation in the age of onset, the rate of progression, the severity of disease, and clinical symptoms (Heckenlively 1988; Zheng et al. 2015).
Here we describe the identification of the pathogenic candidate variants in a pedigree originating in Pakistan by linkage analysis and whole-exome sequencing.
27.2. Methods
27.2.1. Ethics
All research procedures were approved by the Institutional Review Boards (IRB) of National Centre of Excellence in Molecular Biology in Lahore, Pakistan; National Eye Institute in Bethesda, MD; University of California San Diego, in La Jolla, CA; and Johns Hopkins University in Baltimore, MD. Each participant in this study was informed and provided written consent in accordance with the Declaration of Helsinki.
27.2.2. Subjects and Clinical Examination
A three-generation pedigree with multiple affected family members was recruited from the Punjab province of Pakistan. The ophthalmic evaluation was performed as described previously (Duncan et al. 2007).
27.2.3. Exclusion Analysis
The genomic DNA used in all experiments was extracted from the white blood cells of whole-blood samples using QIAamp DNA blood mini kit (QIAGEN, Valencia, CA 91355). Short tandem repeat (STR) markers spanning known and/or reported IRD loci were selected for exclusion analysis. PCR products were mixed with a loading cocktail containing HD-400 size standards (Applied Biosystems) and resolved in an Applied Biosystems 3100 DNA Analyzer. Genotypes were assigned using the GeneMapper software from Applied Biosystems. Linkage analysis was performed with alleles of PKRD320 obtained through the genome-wide scan using the FASTLINK version of MLINK from the LINKAGE Program Package (Lathrop and Lalouel 1984; Schaffer et al. 1994; Naeem et al. 2015).
27.2.4. Whole-Exome Sequencing and Variant Calling
Genomic DNA from two affected and one unaffected individual was used for whole-exome sequencing. Whole-exome sequencing was performed using Agilent V5 + UTRs probes on the Illumina HiSeq (Illumina, San Diego, CA). The paired end (2 × 100 bases) reads were aligned to human genome hg19 after quality control check (Li and Durbin 2009; Genomes Project et al. 2015). The aligned reads were sorted by using SAMtools and stored in BAM format files. The GATK guidelines were followed to call the variants (DePristo et al. 2011; Tarasov et al. 2015). Variants were filtered using exomeSuite, a software (Maranhao et al. 2014) for a homozygous recessive inheritance pattern. Subsequently, we examined the allele frequency, impact of mutation, and expression profile of promising candidate variants (Table 27.1). Finally, all variants were confirmed by segregation analysis through dideoxy sequencing (MacDonald et al. 2012).
Table 27.1.
The list of databases we used for variant annotation
Category | Database | References |
---|---|---|
Mutation frequency | dbSNP 138 | Sherry et al. (2001) |
ExAC | Lek et al. (2016) | |
HGMD | Stenson et al. (2014) | |
Gene | GENCODE (gene, exon, and transcript) | Harrow et al. (2012) |
microRNA | mirBase | Kozomara and Griffiths-Jones (2011) |
Expression | UniGene | – |
Impact prediction | PolyPhen2 | – |
SIFT | – | |
MutationTaster | – | |
Retina | RetNet | RetNet |
27.3. Results
27.3.1. Linkage Analysis
The linkage analysis localized the disease interval to chromosome 11q. The haplotype constructed from alleles of additional short tandem repeat (STR) markers in that region further supported localization to chromosome 11q (Fig. 27.1).
Fig. 27.1.
Pedigree drawing of family PKRD320 illustrates segregation of variants identified in ZNF408 and C1QTNF4 with the retinal phenotype. Asterisk indicates the individuals that were chosen for whole-exome sequencing
27.3.2. Identification of Rare and Potentially Damaging Variants
59,064–63,286 SNPs were identified from two affected individuals (III:4 and III:7), whereas 63,996 SNPs were identified in the unaffected individual (III:1). On average, 5900 indels were found in each sample (the range 5295–6490). Analysis based on the pattern of inheritance identified 34,972 homozygous common variants in two affected individuals, which were absent or heterozygous in the unaffected. Among the identified variants, only 18 variants were rare (below 0.5%) and also present in the exonic sequence. Further analysis based on expression profile identified seven candidate variants (Table 27.2). Among these, PolyPhen2 predicted three missense variants to be damaging. Sanger sequencing revealed the novel, homozygous missense variant, c.1304G > A; p.Arg435Gln in the ZNF408 gene (NM_024741) segregating with disease in PKRD320 (Fig. 27.1). This variant was predicted to be probably damaging (PolyPhen2 = 0.983). Likewise, another homozygous missense variant c.902G > A; p.Gly301Asp in C1QTNF4 (NM_031909). a gene that is not yet associated with RD, co-segregated with IRD in PKRD320 (Fig. 27.1). This missense variant was predicted to be damaging (PolyPhen2 = 1.000). The arginine 435 in ZNF408 and glycine 301 in C1QTNF4 are highly conserved through evolution (Fig. 27.2). ZNF408 and C1QTNF4 genes are located on chromosome 11 and only 884,907 base-pair distance apart (Table 27.2). Both these variants are rare (0.0001 for the ZNF408 variant and the C1QTNF4 variant is novel) and located in the disease interval identified by the haplotype (Fig. 27.1).
Table 27.2.
Candidate variants observed in PKRD320
CHR | POS | rsID | ExAC | REF | ALT | GENE | cDNA Change | AA Change | PolyPhen2 |
---|---|---|---|---|---|---|---|---|---|
chr11 | 46,726,554 | rsl85413257 | 0.0001 | G | A | ZNF408 | c.1304G > A | p.R435Q | Probably damaging (0.983) |
chr11 | 47,380,364 | rs201791759 | 0.0034 | C | T | SP11 | c.524G > A | P.R175Q | Benign |
chr11 | 47,611,461 | – | C | T | C1QTNF4 | c.902G >A | p.G301D | Probably damaging (1) | |
chr11 | 61,730,439 | – | C | A | BEST1 | c.1633C > A | p.P545T | Benign | |
chr11 | 63,525,727 | – | A | ACGTCGAC | RTN3 | c.509_510insCGTCGAC | p.(N171 fs) | Did not segregate | |
chr11 | 71,948,779 | rs200679872 | 0.0016 | G | A | INPPL1 | c.2765G > A | p.R922Q | Benign |
chr13 | 111,294,837 | – | A | C | CARS2 | c.1448T > G | p.L483 W | Probably damaging did not segregate |
Fig. 27.2.
Illustration of amino acid conservation of Arg435 in ZNF408 and Gly301 in C1QTNF4 in their respective orthologs
27.3.3. Control Analysis
Analysis of 100 ethnicity-matched appropriate controls did not detect the novel causative variants identified in this study, indicating that these variants are rare in the Pakistani population.
27.4. Discussion
We report the use of whole-exome sequencing coupled with bioinformatic analysis to identify potential novel variants segregating with IRD in a large inbred family of Pakistani origin. Our analysis identified two homozygous potentially pathogenic variants segregating with disease. These variants reside in a previously reported Zinc Finger Protein 408 (ZNF408) gene and Tumor Necrosis Factor-Related Protein 4 (C1QTNF4) gene, which has not been associated with IRD.
ZNF408 encodes a transcription factor, and mutations in this gene have been associated with vitreoretinopathy and retinitis pigmentosa (Collin et al. 2013; Avila-Fernandez et al. 2015). ZNF408 is expressed in both cone and rod photoreceptor retinal layer. The znf408 knockdown transgenic zebrafish showed abnormal ventral retinal fusion and absence of blood vessels, leading to severe necrosis for the early stage of eye development (Collin et al. 2013).
C1QTNF4 is a member of the CTRPs family and has an important function on cytokine activity. Interestingly, another member of this family, C1QTNF5, has been associated with autosomal dominant late-onset retinal degeneration (Hayward et al. 2003; Ayyagari et al. 2005). This suggests that the homozygous variant identified in C1QTNF4 might play an important role in development of retinal pathology.
In conclusion, this study identified two homozygous variants in two different genes, i.e., ZNF408 and C1QTNF4, segregating with IRD in a Pakistani family. It is rather challenging to delineate the contribution of each of these variants toward the development of the retinal phenotype and establish the causative role of the C1QTNF4 variant in this pedigree. We speculate that the variant identified in ZNF408, a known IRD gene, is the primary cause of the phenotype in PKDR320. If the C1QTNF4 variant has any effect on the retinal tissue, it may exasperate the phenotype due to the ZNF408 variant. Future studies on the role of these mutant proteins and generation of animal models may reveal the potential role of the C1QTNF4 gene in the pathophysiology of retinal degeneration.
Acknowledgments
Dr. Ayyagari, the principal investigator and corresponding author had full access to all the data in the study and takes responsibility for the integrity of the data and the accuracy of the data analysis. Support: This work was supported by NEI-NIH grants EY014375, NIH-R01EY021237, NIH-R01EY013198, Foundation Fighting Blindness, and Research to Prevent Blindness.
This work was supported by NIH-EY021237, NIH- EY002162, NIH-EY0020846, NIH-P30EY022589, Foundation Fighting Blindness (RA), and Research to Prevent Blindness (RA).
Contributor Information
Pooja Biswas, Shiley Eye Institute, University of California San Diego, La Jolla, CA, USA.
Muhammad Asif Naeem, National Centre of Excellence in Molecular Biology, University of the Punjab, Lahore, Pakistan.
Muhammad Hassaan Ali, Allama Iqbal Medical College, University of Health Sciences. Lahore, Pakistan.
Muhammad Zaman Assir, Allama Iqbal Medical College, University of Health Sciences. Lahore, Pakistan.
Shaheen N. Khan, National Centre of Excellence in Molecular Biology, University of the Punjab, Lahore, Pakistan
Sheikh Riazuddin, National Centre for Genetic Diseases, Shaheed Zulfiqar Ali Bhutto Medical University, Islamabad, Pakistan; National Centre of Excellence in Molecular Biology, University of the Punjab, Lahore, Pakistan; Allama Iqbal Medical College, University of Health Sciences, Lahore, Pakistan.
J. Fielding Hejtmancik, Ophthalmic Genetics and Visual Function Branch, National Eye Institute, NIH, Bethesda, MD, USA.
S. Amer Riazuddin, Department of Ophthalmology, The Wilmer Eye Institute, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
Radha Ayyagari, Shiley Eye Institute, University of California San Diego, La Jolla, CA, USA.
References
- Avila-Fernandez A, Perez-Carro R, Corton M et al. (2015) Whole-exome sequencing reveals ZNF408 as a new gene associated with autosomal recessive retinitis pigmentosa with vitreal alterations. Hum Mol Genet 24:4037–4048 [DOI] [PubMed] [Google Scholar]
- Ayyagari R, Kakuk LE, Bingham EL et al. (2000) Spectrum of color gene deletions and phenotype in patients with blue cone monochromacy. Hum Genet 107:75–82 [DOI] [PubMed] [Google Scholar]
- Ayyagari R, Mandal MN, Karoukis AJ et al. (2005) Late-onset macular degeneration and long anterior lens zonules result from a CTRP5 gene mutation. Invest Ophthalmol Vis Sci 46:3363–3371 [DOI] [PubMed] [Google Scholar]
- Boughman JA, Fishman GA (1983) A genetic analysis of retinitis pigmentosa. Br J Ophthalmol 67:449–454 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Boughman JA, Conneally PM, Nance WE (1980) Population genetic studies of retinitis pigmentosa. Am J Hum Genet 32:223–235 [PMC free article] [PubMed] [Google Scholar]
- Boughman JA, Vernon M, Shaver KA (1983) Usher syndrome: definition and estimate of prevalence from two high-risk populations. J Chronic Dis 36:595–603 [DOI] [PubMed] [Google Scholar]
- Carr RE, Noble KG, Nasaduke I (1978) Hereditary hemorrhagic macular dystrophy. Am J Ophthalmol 85:318–328 [DOI] [PubMed] [Google Scholar]
- Collin RW, Nikopoulos K, Dona M et al. (2013) ZNF408 is mutated in familial exudative vitreoretinopathy and is crucial for the development of zebrafish retinal vasculature. Proc Natl Acad Sci U S A 110:9856–9861 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Cremers FP, van de Pol DJ, van Driel M et al. (1998) Autosomal recessive retinitis pigmentosa and cone-rod dystrophy caused by splice site mutations in the Stargardt’s disease gene ABCR. Hum Mol Genet 7:355–362 [DOI] [PubMed] [Google Scholar]
- Daiger SP, Sullivan LS, Bowne SJ (2013) Genes and mutations causing retinitis pigmentosa. Clin Genet 84:132–141 [DOI] [PMC free article] [PubMed] [Google Scholar]
- DePristo MA, Banks E, Poplin R et al. (2011) A framework for variation discovery and genotyping using next-generation DNA sequencing data. Nat Genet 43:491–498 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Duncan JL, Zhang Y, Gandhi J et al. (2007) High-resolution imaging with adaptive optics in patients with inherited retinal degeneration. Invest Ophthalmol Vis Sci 48:3283–3291 [DOI] [PubMed] [Google Scholar]
- Genomes Project C, Auton A, Brooks LD et al. (2015) A global reference for human genetic variation. Nature 526:68–74 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Harrow J, Frankish A, Gonzalez JM et al. (2012) GENCODE: the reference human genome annotation for the ENCODE project. Genome Res 22:1760–1774 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Hartong DT, Berson EL, Dryja TP (2006) Retinitis pigmentosa. Lancet 368:1795–1809 [DOI] [PubMed] [Google Scholar]
- Hayward C, Shu X, Cideciyan AV et al. (2003) Mutation in a short-chain collagen gene, CTRP5, results in extracellular deposit formation in late-onset retinal degeneration: a genetic model for age-related macular degeneration. Hum Mol Genet 12:2657–2667 [DOI] [PubMed] [Google Scholar]
- Heckenlively JR (1988) Retinitis Pigmentosa, 1st edn. J.B. Lippincott Company, Philadelphia Inglehearn CF (1998) Molecular genetics of human retinal dystrophies. Eye (Lond) 12(Pt 3b):571–579 [DOI] [PubMed] [Google Scholar]
- Kenney MC, Chwa M, Atilano SR et al. (2013) Mitochondrial DNA variants mediate energy production and expression levels for CFH, C3 and EFEMP1 genes: implications for age-related macular degeneration. PLoS One 8:e54339 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Kozomara A, Griffiths-Jones S (2011) miRBase: integrating microRNA annotation and deep-sequencing data. Nucleic Acids Res 39:D152–D157 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Lathrop GM, Lalouel JM (1984) Easy calculations of lod scores and genetic risks on small computers. Am J Hum Genet 36:460–465 [PMC free article] [PubMed] [Google Scholar]
- Lek M, Karczewski KJ, Minikel EV et al. (2016) Analysis of protein-coding genetic variation in 60,706 humans. Nature 536:285–291 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Li H, Durbin R (2009) Fast and accurate short read alignment with Burrows-Wheeler transform. Bioinformatics 25:1754–1760 [DOI] [PMC free article] [PubMed] [Google Scholar]
- MacDonald IM, Gudiseva HV, Villanueva A et al. (2012) Phenotype and genotype of patients with autosomal recessive bestrophinopathy. Ophthalmic Genet 33:123–129 [DOI] [PubMed] [Google Scholar]
- Maranhao B, Biswas P, Duncan JL et al. (2014) exomeSuite: whole exome sequence variant filtering tool for rapid identification of putative disease causing SNVs/indels. Genomics 103:169–176 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Morimura H, Fishman GA, Grover SA et al. (1998) Mutations in the RPE65 gene in patients with autosomal recessive retinitis pigmentosa or leber congenital amaurosis. Proc Natl Acad Sci U S A 95:3088–3093 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Naeem MA, Gottsch AD, Ullah I et al. (2015) Mutations in GRM6 identified in consanguineous Pakistani families with congenital stationary night blindness. Mol Vis 21:1261–1271 [PMC free article] [PubMed] [Google Scholar]
- Nochez Y, Arsene S, Gueguen N et al. (2009) Acute and late-onset optic atrophy due to a novel OPA1 mutation leading to a mitochondrial coupling defect. Mo1 Vis 15:598–608 [PMC free article] [PubMed] [Google Scholar]
- RetNet In: http://www.sph.uth.tmc.edu/Retnet/ [Google Scholar]
- Schaffer AA, Gupta SK, Shriram K et al. (1994) Avoiding recomputation in linkage analysis. Hum Hered 44:225–237 [DOI] [PubMed] [Google Scholar]
- Sherry ST, Ward MH, Kholodov M et al. (2001) dbSNP: the NCBI database of genetic variation. Nucleic Acids Res 29:308–311 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Stenson PD, Mort M, Ball EV et al. (2014) The human gene mutation database: building a comprehensive mutation repository for clinical and molecular genetics, diagnostic testing and personalized genomic medicine. Hum Genet 133:1–9 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Tarasov A, Vilella AJ, Cuppen E et al. (2015) Sambamba: fast processing of NGS alignment formats. Bioinformatics 31:2032–2034 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Zheng A, Li Y, Tsang SH (2015) Personalized therapeutic strategies for patients with retinitis pigmentosa. Expert Opin Biol Ther 15:391–402 [DOI] [PMC free article] [PubMed] [Google Scholar]