Literature DB >> 31960602

Application of targeted panel sequencing and whole exome sequencing for 76 Chinese families with retinitis pigmentosa.

Handong Dan1, Xin Huang1, Yiqiao Xing1, Yin Shen1.   

Abstract

BACKGROUND: This study aimed to identify the gene variants and molecular etiologies in 76 unrelated Chinese families with retinitis pigmentosa (RP).
METHODS: In total, 76 families with syndromic or nonsyndromic RP, diagnosed on the basis of clinical manifestations, were recruited for this study. Genomic DNA samples from probands were analyzed by targeted panels or whole exome sequencing. Bioinformatics analysis, Sanger sequencing, and available family member segregation were used to validate sequencing data and confirm the identities of disease-causing genes.
RESULTS: The participants enrolled in the study included 62 families that exhibited nonsyndromic RP, 13 that exhibited Usher syndrome, and one that exhibited Bardet-Biedl syndrome. We found that 43 families (56.6%) had disease-causing variants in 15 genes, including RHO, PRPF31, USH2A, CLRN1, BBS2, CYP4V2, EYS, RPE65, CNGA1, CNGB1, PDE6B, MERTK, RP1, RP2, and RPGR; moreover, 12 families (15.8%) had only one heterozygous variant in seven autosomal recessive RP genes, including USH2A, EYS, CLRN1, CERKL, RP1, CRB1, and SLC7A14. We did not detect any variants in the remaining 21 families (27.6%). We also identified 67 potential pathogenic gene variants, of which 24 were novel.
CONCLUSION: The gene variants identified in this study expand the variant frequency and spectrum of RP genes; moreover, the identification of these variants supplies foundational clues for future RP diagnosis and therapy.
© 2020 The Authors. Molecular Genetics & Genomic Medicine published by Wiley Periodicals, Inc.

Entities:  

Keywords:  gene variant; next-generation sequencing; retinitis pigmentosa; targeted panels sequencing; whole exome sequencing

Year:  2020        PMID: 31960602      PMCID: PMC7057118          DOI: 10.1002/mgg3.1131

Source DB:  PubMed          Journal:  Mol Genet Genomic Med        ISSN: 2324-9269            Impact factor:   2.183


INTRODUCTION

Retinitis pigmentosa (RP; OMIM # 268000) is a clinically and genetically heterogeneous inherited retinal dystrophy (Huang, Wu, Lv, Zhang, & Jin, 2015; Lee & Garg, 2015). It is characterized by the progressive loss of rod and cone photoreceptors, which leads to severe visual dysfunction in bilateral eyes (Hartong, Berson, & Dryja, 2006). Typical symptoms include progressive night blindness, loss of vision, and tunnel vision. The prevalence of RP is approximately one in 750–9000 individuals (Na et al., 2017); RP affects approximately 2.5 million people worldwide (Dias et al., 2018). Affected individuals can inherit RP in one of the following patterns: autosomal dominant (adRP, 15%–25%), autosomal recessive (arRP, 5%–20%), X‐linked (xlRP, 5%–15%), or unknown (40%–50%) (Ferrari et al., 2011; Lipinski, Thake, & MacLaren, 2013; Oishi et al., 2014). RP is categorized as either of two types: nonsyndromic or syndromic. Approximately 20%–30% of patients are presumed to exhibit syndromic RP (Dias et al., 2018). Variants in genes that are primarily expressed in retinal cells result in nonsyndromic RP; conversely, variants in genes expressed in a variety of cells or tissues lead to syndromic RP (Waters & Beales, 2011; Wheway, Parry, & Johnson, 2014), such as Usher syndrome or Bardet–Biedl syndrome. Thus far, 98 genes (33 for syndromic RP and 65 for nonsyndromic RP) and 9 loci (3 for syndromic RP and 6 for nonsyndromic RP) are known to cause RP. More than 3,000 gene variants are responsible for nonsyndromic RP (Guadagni, Novelli, Piano, Gargini, & Strettoi, 2015). The underlying molecular etiologies involve the phototransduction cascade and retinal transcription factors associated with the phototransduction cascade, as well as ribonucleic acid splicing machinery, retinal metabolism, retinal cell structure, ciliary structure, and ciliary function (Veleri et al., 2015). Most genes associated with RP are expressed in rod photoreceptors, whereas a small number are expressed in retinal pigment epithelium (Koch et al., 2012). Next‐generation sequencing (NGS) technology in bioinformatics and computing technologies has undergone rapid development; accordingly, low‐cost, high‐throughput, highly efficient DNA sequencing has enabled accurate diagnosis and precise assessment of patient prognosis. Inherited genetic diseases are increasingly diagnosed accurately using NGS technology (Bamshad et al., 2011; Bell et al., 2011; Neuhaus et al., 2017; Yang et al., 2013). However, it remains a considerable challenge to identify disease‐causing genes with NGS technology (Bainbridge et al., 2008). Inherited gene variants are reportedly responsible for only 60% of known cases of RP (Huang et al., 2017; Xu et al., 2014; Zhang, 2016); thus, the disease‐causing gene is unknown in a substantial proportion of affected individuals. It is imperative to determine the genetic etiology of RP and provide guidance for efficient molecular diagnosis. In this study, we enrolled 76 families with syndromic or nonsyndromic RP. All probands were evaluated using NGS technology. Through functional prediction, Sanger sequencing, and segregation analysis, we found that 43 families (56.6%) had disease‐causing variants in 15 genes, while 12 families (15.8%) had only 1 heterozygous variant in 7 arRP genes. We also identified 67 potential pathogenic gene variants, of which 24 have not been previously described.

MATERIALS AND METHODS

Ethical compliance

The research protocol was approved by the medical ethics committee of Renmin Hospital of Wuhan University and carried out in accordance with the tenets of the Declaration of Helsinki. Written informed consent was obtained from each participant or their guardian (for participants who were children) prior to the study. All participants were consecutively recruited in Renmin Hospital of Wuhan University (Hubei, China), which is located in central China.

Clinical testing

A detailed family history was obtained from the proband or the proband's family members. All participants received comprehensive ophthalmological examinations, including best‐corrected visual acuity, refractive error measurement, slit lamp examination, intraocular pressure measurement, and funduscopy. Participants who agreed to additional ophthalmological examinations underwent fundus photography, visual field assessment, optical coherence tomography (OCT), and full‐field electroretinography (ERG). High‐resolution fundus photographs were obtained with a digital fundus camera VISUCAM 200 (Carl Zeiss Meditec AG, Jena, Thuringia, Germany). Visual field assessment was performed using a Humphrey HFA II‐750 (Carl Zeiss Meditec AG). OCT was performed using an AngioVue® Imaging System (Optovue). ERG was recorded using an Espion system (Diagnosys) in accordance with the standards and methodology of the International Society for Clinical Electrophysiology of Vision (Mcculloch et al., 2015). Participants who exhibited hearing loss or carried gene variants indicative of Usher syndrome underwent hearing examinations using an ITERA sonometer (Otometrics, DK‐2630).

Targeted panel sequencing and whole exome sequencing

Genomic DNA was analyzed with targeted panel sequencing (each of six panels containing 70, 316, 78, 370, 429, and 386 genes) or whole exome sequencing (WES). Genes included in the panels are listed in Text S1; these genes are primarily responsible for inherited retinal dystrophy. Genomic DNA was isolated from leukocytes of venous blood samples using the QIAamp DNA Blood Midi Kit (Qiagen) or TIANamp Blood DNA Midi Kit (TIANGEN Biotech), in accordance with the manufacturer's standard protocol. Library preparation was performed using the Ion AmpliseqTM Library Kit 2 or SureSelect Exome V5 Capture library, in accordance with the manufacturer's instructions (Biswas et al., 2017; Chen et al., 2013; Javadiyan et al., 2018). Sequencing was performed on an Ion Torrent PGM (Life Technologies) or HiSeq (Illumina) platform.

Data analysis

The variant nomenclature used in this study complied with the recommendations of the Human Genomic Variation Society (HGVS, http://www.hgvs.org/) (Wang et al., 2018). Sequence alignments were performed using the Torrent Suite or Burrows‐Wheeler Aligner (Li & Durbin, 2010). Variant calling and annotation were conducted in accordance with a previously published protocol (Liu et al., 2015; Siggs et al., 2017). The raw reads were filtered as clean reads and then aligned to the GRCh37 (hg19) human reference sequence. Variants were preferentially selected for further analysis and validation if they met the following criteria: (a) their minor allele frequency <0.01 in the 1,000 Genomes Project database (http://www.internationalgenome.org/), Exome Aggregation Consortium database (ExAC, http://exac.broadinstitute.org/), Genome Aggregation database (gnomAD, http://gnomad.broadinstitute.org/), Single Nucleotide Polymorphisms database (dbSNP, https://www.ncbi.nlm.nih.gov/snp), and in‐house database with exomes of Chinese individuals; (b) they were nonsynonymous; (c) they were located in exon or intron regions that affected RNA splicing; (d) they were predicted to be damaging or deleterious variants using Polymorphism Phenotyping (PolyPhen2, http://genetics.bwh.harvard.edu/pph2/) (Adzhubei et al., 2010) and Sorting Intolerant From Tolerant (SIFT, http://sift.jcvi.org/) (Kumar, Henikoff, & Ng, 2009). Variant annotation in this study complied with the guidelines of the American College of Medical Genetics (ACMG, https://www.acmg.net/) (ACMG Board of Directors, 2016; Richards et al., 2015). Conservation of each amino acid substitution was calculated using PhyloP in Mutation Taster (http://www.mutationtaster.org/) (Schwarz, Cooper, Schuelke, & Seelow, 2014). A PhyloP value between −14 and +6 was considered indicative of amino acid is conservation among different species. Molecular modeling of wild‐type and mutant protein sequences were computed by a SWISS‐MODEL server homology modeling pipeline that relies on ProMod3, an in‐house comparative modeling engine based on OpenStructure (Bertoni, Kiefer, Biasini, Bordoli, & Schwede, 2017; Bienert et al., 2017; Waterhouse et al., 2018).

Sanger sequencing and segregation analysis

Raw reads were filtered and the selected variants were subjected to validation and segregation analyses. Polymerase chain reaction was used to amplify gene fragments that included the variants. Primers were designed with Primer3 (http://primer3.ut.ee/); primers used for Sanger sequencing are listed in Table S2. The amplicons were sequenced using 3500xL Dx Genetic Analyser (Applied Biosystems, Foster City, CA, USA) with ABI BigDye Terminator v3.1 Cycle Sequencing kit. The proband sequences and corresponding consensus sequences (obtained from the NCBI Human Genome Database https://www.ncbi.nlm.nih.gov/) were analyzed using the SeqMan II software of the Lasergene software package (DNASTAR). DNA samples of all probands and their available family members were subjected to Sanger sequencing and segregation analysis based on the inheritance pattern.

RESULTS

Clinical manifestations

In total, 76 Chinese families of Han ethnicity were consecutively enrolled in the study. All probands complained of night blindness, constricted vision field, and impaired vision, with the exception of proband 12, who was very young. Four probands who exhibited RP beginning in childhood had complained of strabismus and nystagmus. Most probands exhibited fundus signs typical of RP, including bone spicule pigmentation, retinal vascular stenosis, and waxy‐pale optic disc. The fundus photographs of probands with novel variants are shown in Figure S1. Visual field analyses showed that probands had a constricted visual field with increased mean deviation. OCT revealed severe thinning of the retinal nerve fiber layer, outer nuclear layer, and epiretinal membranes. Full‐field ERG demonstrated extinguished or severely reduced dark‐adapted and light‐adapted responses, with significant reductions of a and b waves. Typical visual field, OCT, and ERG are shown in Figure S2. Clinical features of the 43 probands with disease‐causing genes are listed in Table 1.
Table 1

Clinical features of probands with disease‐causing genes

No.IDGenderInheritanceSegregationClinical manifestationsAge at (year)BCVAFundus ExaminationmRNFL (um)Visual Field (mean deviation)ERG
OnsetExamODOSODOSODOSODOS
127MADYesNB, VFD, VD1242FCFCBSPD, ARA, WOD195177NANANANA
128MADNANB, VFD, VD1442FCHMBSPD, ARA, WOD199188NANANANA
133FADNANB, VFD, VD6360.20.08BSPD, ARA, WOD13711327.1229.3NANA
1MSNANB, VFD, VD, SNHL15210.60.6BSPD, ARA, WODNANA25.4725.87NANA
3MSNANB, VFD, VD25470.40.4BSPD, ARA, WOD15015626.8427.49EE
17MSNANB, VFD, VD, SNHL40590.10.12BSPD, ARA, WODNANA27.6528.51EE
21MSYesNB, VFD, VD, SNHL14340.60.8BSPD, ARA, WOD18316927.0828.5NANA
27MARYesNB, VFD, VD, SNHL13210.80.6PD, ARA, WOD22321128.2227.88EE
37FSNANB, VFD, VD25440.120.05BSPD, ARA, WOD11313216.6518.08NANA
49FSYesNB, VFD, VD, SNHL4200.60.8PD, ARA, WOD32135024.2625.5EE
67MSNANB, VFD, VD, SNHL20310.10.08PD, ARA, WOD, MD16819630.5430.64EE
109MSNANB, VFD, VD, SNHL16460.40.2BSPD, ARA, WOD19220125.5627.89NANA
113FSYesNB, VFD, VD2040HMHMBSPD, ARA, WOD189185NANANANA
117MSNANB, VFD, VD, SNHL33430.120.05BSPD, ARA, WOD19419327.7226.49EE
118MARNANB, VFD, VD, SNHL30500.10.25BSPD, ARA, WOD153148NANANANA
146FARNANB, VFD, VD, SNHL2244LPLPBSPD, ARA, WODNANANANANANA
154MSYesNB, VFD, VD20360.60.8BSPD, ARA, WOD20921327.828.38EE
173MARYesNB, VFD, VD2546HMHMBSPD, ARA, WODNANANANAEE
164MARYesNB, VFD, VD, SNHL5400.10.12BSPD, ARA, WOD15916227.9728.62NANA
28MSYesNB, VFD, VD426HMHMTLR, ARA, WOD191188NANAEE
13MSNANB, VFD, VD1454LPLPSP, ARA, WODNANANANAEE
55FSYesNB, VFD, VD22360.050.1SP, ARA, WOD215239NANANANA
74FSNANB, VFD, VD40530.50.4SP, PD, ARA, WOD17518528.129.39EE
93MSNANB, VFD, VD25370.30.15SP, PD, ARA, WOD194181NANANANA
132MARNANB, VFD, VD2556HMLPSP, PD, ARA, WOD234153NANANANA
7MSNANB, VFD, VD19540.20.5BSPD, ARA, WOD17217229.5929.14EE
62FSNANB, VFD, VD4564FC0.12BSPD, ARA, WOD156187NANAEE
112MSNANB, VFD, VD30360.10.12BSPD, ARA17419529.1230EE
135MSYesNB, VFD, VD890.60.15TLRNANA29.731.64EE
96MSYesNB, VFD, VD, N, S525LPHMBSPD, ARA, WODNANANANANANA
143MSYesNB, VFD, VD, N, S531LPLPBSPD, ARA, WOD, MDNANANANANANA
165MSYesNB, VFD, VD, N, S628LPLPBSPD, ARA, WODNANANANANANA
16FSYesNB, VFD, VD15290.81TLR25425222.0221.11EE
58MSYesNB, VFD, VD3555HMHMBSPD, ARA, WODNANANANAEE
64FSYesNB, VFD, VD35460.10.1BSPD, ARA, WOD15917528.4326.67EE
152MSYesNB, VFD, VD25370.80.8ARA, TLRNANA30.9431.24EE
168FSYesNB, VFD, VD18390.250.25BSPD, ARA, WOD16817927.5626.45EE
157FARYesNB, VFD, VD, N, S630HMHMBSPD, ARA, WODNANANANANANA
12MXLYesVD470.50.5TLRNANANANANANA
79MSYesNB, VFD, VD, N, S1039LPLPBSPD, ARA, WODNANANANANANA
15MSNoNB, VFD, VD27370.10.3BSPD, ARA, WOD14814630.1530.2EE
68MSNANB, VFD, VD38510.10.1BSPD, ARA, WOD143154NANANANA
176MSNoNB, VFD, VD8290.10.3BSPD, ARA, WOD17016528.0428.96EE

Abbreviations: AD, autosomal dominant; ARA, attenuated retinal arteries; AR, autosomal recessive; BCVA, best‐corrected visual acuity; BSPD, bone spicule pigmentation deposit; E, extinguished; ERG, electroretinography; F, female; FC, finger counting; HM, hand movement; LP, light perception; M, male; MD, macular degeneration; mRNFL, mean retinal nerve fiber layer; N, Nystagmus no; NA, not available; NB, night blindness; OD, right eye; OS, left eye; PD, pigmentation deposit; S, sporadic; S, Strabismus; SNHL, sensorineural hearing loss; SP, salt‐and‐pepper‐like retinal degeneration; TLR, tapetal‐like retinal degeneration; VD, vision decline; VFD, vision field defect; WOD, waxy‐pale optic disc; XL, X‐linked.

Clinical features of probands with disease‐causing genes Abbreviations: AD, autosomal dominant; ARA, attenuated retinal arteries; AR, autosomal recessive; BCVA, best‐corrected visual acuity; BSPD, bone spicule pigmentation deposit; E, extinguished; ERG, electroretinography; F, female; FC, finger counting; HM, hand movement; LP, light perception; M, male; MD, macular degeneration; mRNFL, mean retinal nerve fiber layer; N, Nystagmus no; NA, not available; NB, night blindness; OD, right eye; OS, left eye; PD, pigmentation deposit; S, sporadic; S, Strabismus; SNHL, sensorineural hearing loss; SP, salt‐and‐pepper‐like retinal degeneration; TLR, tapetal‐like retinal degeneration; VD, vision decline; VFD, vision field defect; WOD, waxy‐pale optic disc; XL, X‐linked. In total, 15 probands harbored USH2A (OMIM * 608400) compound heterozygous or homozygous variants, while 1 proband harbored CLRN1 (OMIM * 606397) homozygous variants and 3 probands harbored USH2A heterozygous variants. Thirteen probands (11 probands with compound heterozygous or homozygous variants and two probands with USH2A heterozygous variants) were diagnosed with Usher syndrome. Six probands (five probands with USH2A compound heterozygous or homozygous variants and one proband with USH2A heterozygous variants) did not complain of hearing loss and did not exhibit hearing impairment in hearing examinations; they were diagnosed with nonsyndromic RP. Proband 28 had a compound heterozygous BBS2 (OMIM * 606151) variant and was diagnosed with Bardet–Biedl syndrome; he exhibited fourth toe brachydactyly in both feet, which was more severe in the right foot. The proband exhibited obesity, with a body mass index of 28.2 kg/m2; he refused further examinations (e.g., sperm or genital gland). Notably, he did not exhibit obvious bone spicule pigmentation in the fundus and showed no mental retardation. Five probands with CYP4V2 (OMIM * 608614) compound heterozygous or homozygous variants were diagnosed with Bietti crystalline corneoretinal dystrophy. They exhibited typical RP fundus performance with salt‐and‐pepper‐like retinal degeneration.

NGS results

Based on bioinformatics, Sanger sequencing validation, and segregation analysis, we found that 43 families (56.6%) had disease‐causing variants in 15 genes, including RHO (OMIM * 180380), PRPF31 (OMIM * 606419), USH2A, CLRN1, BBS2, CYP4V2, EYS (OMIM * 612424), RPE65 (OMIM * 180069), CNGA1 (OMIM * 123825), CNGB1 (OMIM * 600724), PDE6B (OMIM * 180072), MERTK (OMIM * 604705), RP1 (OMIM * 603937), RP2 (OMIM * 300757), and RPGR (OMIM * 312610). Segregation analysis was available for 24 of the 43 families, and the variants were segregated with the disease, except for Family 15 and Family 176. Two genes were associated with adRP in three families with heterozygous variants; 11 genes were associated with arRP in 35 families with homozygous variants (10 families) or compound heterozygous variants (25 families); and 2 genes were associated with xlRP in 5 families with hemizygous variants. The gene most frequently found in the study is USH2A (19.7%), followed by CYP4V2 (6.6%). The gene variants of these probands are described in Table 2. The genomic information is shown in Table S3. In addition, we found that 12 families (15.8%) had only one heterozygous variant in seven arRP genes, including USH2A, EYS, CLRN1, CERKL (OMIM * 608381), RP1, CRB1 (OMIM * 604210), and SLC7A14 (OMIM * 615720); these heterozygous variants are described in Table 3. We did not detect any variants in the remaining 21 families (27.6%). The proportions of genes associated with RP in this cohort are shown in Figure 1a.
Table 2

Variant information of disease‐causing genes was detected in the study

No. ID DiseasePanelGeneNucleotide changeAmino acid changeVariant typeExon/IntronHom/Het/HemPolyphen2SIFTPhyloPReferenceACMG
127RPPanel 2RHOc.1045T>Cp.(*349Glnnext*51)nonsenseE5Het4.658PMID:24705292P
128RPWESRHOc.1040C>Tp.(Pro347Leu)missenseE5HetPrDD5.624PMID:22217031P
133RPPanel 2PRPF31c.220C>Tp.(Gln74*)nonsenseE3Het4.986PMID:16799052P
1UsherPanel 1USH2Ac.538T>Cp.(Ser180Pro)missenseE3HetPrDD3.592PMID:19737284LP
   USH2Ac.11714G>Cp.(Arg3905Pro)missenseE61HetPrDD5.607NovelUVS
3RPPanel 3USH2Ac.142_143insGAp.(Lys48Argfs*98)insertionE2Het0.524PMID:30076350P
   USH2Ac.2802T>Gp.(Cys934Trp)missenseE13HetPrDD0.999PMID:25356976LP
17UsherPanel 1USH2Ac.11156G>Ap.(Arg3719His)missenseE57HomPrDD2.111PMID:28157192LP
21UsherPanel 3USH2Ac.4165delGp.(Val1389Leufs*43)deletionE19Het−0.137PMID:30076350LP
   USH2Ac.11156G>Ap.(Arg3719His)missenseE57HetPrDD2.111PMID:28157192LP
27UsherPanel 1USH2Ac.4645C>Tp.(Arg1549*)nonsenseE22Het1.336PMID:26352687P
   USH2Ac.8559‐2A>GspliceI42HetPMID:25078356P
37RPPanel 1USH2Ac.1397G>Tp.(Gly466Val)missenseE8HomPrDD5.667PMID:24938718LP
49UsherPanel 2USH2Ac.656A>Cp.(His219Pro)missenseE4HetPoDD3.544NovelUVS
   USH2Ac.11208_11209insTp.(Lys3737*)insertionE57Het1.194NovelLP
67UsherPanel 5USH2Ac.2017T>Ap.(Cys673Ser)missenseE12HomPrDD4.591NovelUVS
109UsherWESUSH2Ac.8559‐2A>GspliceI42HetPMID:25078356P
   USH2Ac.1143G>Cp.(Gln381His)missenseE6HetPrDN6.022NovelUVS
113RPPanel 5USH2Ac.2802T>Gp.(Cys934Trp)missenseE13HetPrDD0.999PMID:25356976LP
   USH2Ac.4616C>Tp.(Thr1539Ile)missenseE21HetPrDN4.998PMID:30029497UVS
117UsherPanel 5USH2Ac.475C>Tp.(Gln159*)nonsenseE2Het3.108NovelLP
   USH2Ac.8559‐2A>GspliceI42HetPMID:25078356P
118UsherWESUSH2Ac.11156G>Ap.(Arg3719His)missenseE57HetPrDD2.111PMID:28157192P
   USH2Ac.8559‐2A>GspliceI42HetPMID:25078356P
146UsherPanel 6USH2Ac.8559‐2A>GspliceI42HetPMID:25078356P
   USH2Ac.14426C>Tp.(Thr4809Ile)missenseE66HetPrDD6.161PMID:18665195LP
154RPPanel 6USH2Ac.11156G>Ap.(Arg3719His)missenseE57HetPrDD2.111PMID:28157192LP
   USH2Ac.9958G>Tp.(Gly3320Cys)missenseE50HetPrDD5.589PMID:25133613LP
173RPPanel 6USH2Ac.10588C>Ap.(Pro3530Thr)missenseE54HetBN0.482NovelUVS
   USH2Ac.13339A>Gp.(Met4447Val)missenseE63HetBD1.334PMID:29625443UVS
164UsherPanel 6CLRN1c.253+6T>CspliceI1HomPMID:25356976LP
28RPPanel 2BBS2c.563delTp.(Ile188Thrfs*13)deletionE5Het3.233PMID:24608809P
   BBS2c.1237C>Tp.(Arg413*)nonsenseE11Het2.828PMID:12920096P
13BiettiPanel 3CYP4V2c.802‐6_810delATACAGGTCATCGCTdeletionI6‐E7HomPMID:30076350P
55BiettiPanel 2CYP4V2c.992A>Cp.(His331Pro)missenseE8HomPrDD4.751PMID:22772592P
74BiettiPanel 2CYP4V2c.802‐6_810delATACAGGTCATCGCTdeletionI6‐E7HetPMID:30076350P
   CYP4V2c.1199G>Ap.(Arg400His)missenseE9HetPrDD−0.223PMID:16179904LP
93BiettiWESCYP4V2c.1091‐2A>GspliceI8HetPMID:25356976P
   CYP4V2c.802‐8_810delTCATACAGGTCATCGCG/insGCindelI6‐E7HetPMID:23793346P
132BiettiWESCYP4V2c.413G>Ap.(Ser138Asn)missenseE3HetPrDD0.147NovelUVS
   CYP4V2c.992A>Cp.(His331Pro)missenseE8HetPrDD4.751PMID:25356976P
7RPPanel 3EYSc.8545C>Tp.(Arg2849*)nonsenseE43Het2.49PMID:30076350P
   EYSc.5644+5G>AspliceI26HetPMID:30076350P
62RPPanel 1EYSc.2953_2961delACTGATGGAp.(Thr985_Gly987del)deletionE19Het0.17PMID:29159838LP
   EYSc.8805C>Ap.(Tyr2935*)nonsenseE43Het0.382PMID:28763560P
112RPPanel 6EYSc.4955C>Ap.(Ser1652*)nonsenseE26Het2.076PMID:28559085P
   EYSc.6557G>Ap.(Gly2186Glu)missenseE32HetPoDD0.561PMID:25356976LP
135RPPanel 2EYSc.9209T>Cp.(Ile3070Thr)missenseE43HetBN1.839PMID:26161267LP
   EYSc.3489T>Ap.(Asn1163Lys)missenseE23HetPrDD1.174PMID:22302105LP
96RPPanel 1RPE65c.131G>Ap.(Arg44Gln)missenseE3HomPrDD5.775PMID:25775262LP
143RPWESRPE65c.725+2T>AspliceI7HomNovelLP
165RPPanel 6RPE65c.1379G>Ap.(Trp460*)nonsenseE13Het5.985NovelLP
   RPE65c.1403C>Tp.(Ser468Leu)missenseE13HetPrDD5.985NovelUVS
16RPPanel 3CNGA1c.829G>Ap.(Asp277Asn)missenseE9HetPrDD5.52PMID:30652268P
   CNGA1c.472delCp.(Leu158Phefs*4)deletionE5Het2.191PMID:26496393P
58RPPanel 4CNGA1c.472delCp.(Leu158Phefs*4)deletionE5Hom2.191PMID:26496393P
64RPPanel 4CNGB1c.2921T>Gp.(Met974Arg)missenseE29HomPrDD3.182NovelUVS
152RPPanel 6PDE6Bc.622G>Ap.(Val208Met)missenseE3HetPoDN0.065NovelUVS
   PDE6Bc.2435A>Tp.(Asp812Val)missenseE21HetPrDD3.971NovelUVS
168RPPanel 6MERTKc.845‐1G>AspliceI5HetNovelP
   MERTKc.1169T>Ap.(Val390Asp)missenseE8HetPrDD1.547NovelLP
157RPPanel 6RP1c.4905_4906delGTp.(Tyr1636Argfs*2)deletionE4Het3.619NovelLP
   RP1c.6181delAp.(Ile2061Serfs*12)deletionE4Het0.277PMID:30027431P
12RPPanel 1RP2c.409‐411delATTp.(Ile137del)deletionE2Hem4.494PMID:10937588P
79RPPanel 1RP2c.353G>Ap.(Arg118His)missenseE2HemPrDD5.5PMID:10937588LP
15RPPanel 2RPGRc.2006G>Ap.(Trp669*)nonsenseE15Hem1.007NovelLP
68RPWESRPGRc.2293delGp.(Glu765Argfs*50)deletionE15Hem0.138NovelLP
176RPPanel 6RPGRc.818A>Gp.(Gln273Arg)missenseE8HemPrDD4.289NovelLP

Abbreviations: B, benign; Bietti, Bietti crystalline corneoretinal dystrophy; D, Deleterious; E, Exon; Hem, hemizygous; Het, heterozygous; Hom, homozygous; I, Intron; LP, Likely pathogenic; N, Neutral; P, pathogenic; PoD, possibly damaging; PrD, probably damaging; RP, retinitis pigmentosa; Usher, Usher syndrome; UVS, uncertain significance; WES, whole exome sequencing.

Table 3

Heterozygous variants with only one hit for autosomal recessive retinitis pigmentosa genes

No.IDDiseasePanelGeneNucleotide changeAmino acid changeVariant typeExon/IntronHom/Het/HemPolyphen2SIFTPhyloPReferenceACMG
2UsherPanel 1USH2Ac.9815C>Tp.(Pro3272Leu)missenseE50HetPrDD5.593PMID:18281613LP
88RPPanel 1USH2Ac.13465G>Ap.(Gly4489Ser)missenseE63HetPrDD0.735PMID:29641573LP
166UsherPanel 6USH2Ac.5309A>Tp.(Lys1770Ile)missenseE27HetPrDN2.788NovelUVS
45RPPanel 1EYSc.6416G>Ap.(Cys2139Tyr)missenseE31HetPrDD1.583PMID:25753737LP
77RPPanel 2EYSc.6416G>Ap.(Cys2139Tyr)missenseE31HetPrDD1.583PMID:25753737LP
84RPWESEYSc.6557G>Ap.(Gly2186Glu)missenseE32HetPoDD0.561PMID:25356976P
104RPPanel 1EYSc.9248G>Ap.(Gly3083Asp)missenseE43HetPrDN2.306PMID:27375351LP
30RPPanel 1CLRN1c.407G>Ap.(Gly136Glu)missenseE2HetPrDD1.197PMID:27610647LP
141RPPanel 5CERKLc.566delAp.(Lys189Argfs*6)deletionE3Het2.619NovelLP
31RPPanel 1RP1c.1372A>Tp.(Arg458*)nonsenseE4Het0.461NovelLP
73RPWESCRB1c.2222T>Cp.(Met741Thr)missenseE7HetPoDD2.384PMID:24535598LP
111RPPanel 5SLC7A14c.524G>Ap.(Gly175Glu)missenseE3HetPrDD5.625NovelUVS

Abbreviations: B, benign; Bietti, Bietti crystalline corneoretinal dystrophy; D, Deleterious; E, Exon; Hem, hemizygous; Het, heterozygous; Hom, homozygous; LP, Likely pathogenic; N, Neutral; P, pathogenic; PoD, possibly damaging; PrD, probably damaging; RP, retinitis pigmentosa; Usher, Usher syndrome; UVS, uncertain significance; WES, whole exome sequencing.

Figure 1

Spectrograms of genes and variants for RP probands. (a) Proportions of genes associated with retinitis pigmentosa (RP). (b) Proportions of all types of variants

Variant information of disease‐causing genes was detected in the study Abbreviations: B, benign; Bietti, Bietti crystalline corneoretinal dystrophy; D, Deleterious; E, Exon; Hem, hemizygous; Het, heterozygous; Hom, homozygous; I, Intron; LP, Likely pathogenic; N, Neutral; P, pathogenic; PoD, possibly damaging; PrD, probably damaging; RP, retinitis pigmentosa; Usher, Usher syndrome; UVS, uncertain significance; WES, whole exome sequencing. Heterozygous variants with only one hit for autosomal recessive retinitis pigmentosa genes Abbreviations: B, benign; Bietti, Bietti crystalline corneoretinal dystrophy; D, Deleterious; E, Exon; Hem, hemizygous; Het, heterozygous; Hom, homozygous; LP, Likely pathogenic; N, Neutral; P, pathogenic; PoD, possibly damaging; PrD, probably damaging; RP, retinitis pigmentosa; Usher, Usher syndrome; UVS, uncertain significance; WES, whole exome sequencing. Spectrograms of genes and variants for RP probands. (a) Proportions of genes associated with retinitis pigmentosa (RP). (b) Proportions of all types of variants In total, we identified 67 potential pathogenic gene variants; these included 38 missense variants (52.2%), 10 nonsense variants (16.4%), 1 small indel variant (1.5%), 10 small deletion variants (14.9%), 2 small insertion variants (3.0%), and 6 splice variants (9.0%). The proportions of all types of variants are shown in Figure 1b. Of these 67 potential pathogenic variants, 24 were novel. The pedigrees of the probands with novel variants are shown in Figure S3; the sequencing chromatographs of novel variants and corresponding wild‐type alleles are shown in Figure S4. Schematic representations of the genomic structures of genes with novel variants are shown in Figure 2a. The eight USH2A novel variants were distributed irregularly among the exons of USH2A; these variants presumably affect specific domains of the USH2A protein (Figure 2b). The topology and molecular models of seven novel variants showed molecular alterations in proteins caused by mutations, except in the PDE6B variant c.622G>A, p.(Val208Met) (Figure 3).
Figure 2

(a) Schematic representations of genomic structures of genes showing locations of novel variants. Numbers below diagram indicate corresponding exon numbers. Parts of exons are omitted. (b) Schematic representation of USH2A protein showing locations of novel variants. Notably, the PDZ‐binding domain in the last section of the schematic representation in green is difficult to identify because it constitutes two amino acids

Figure 3

Topology and molecular models of seven novel variants. (a) CYP4V2 protein molecular alteration caused by CYP4V2 variant c.413G>A, p.(Ser138Asn). These models were predicted using 6c94.1. Compared to the wild‐type model, serine is replaced by aspartic acid, which creates H‐bonds (green dash line) between residues in the mutant model. (b) RPE65 protein molecular alteration caused by RPE65 variant c.1403C>T p.(Ser468Leu). These models were predicted using 4f30.1. Compared to the wild‐type model, the number of H‐bonds (green dash line) between residues in the mutant model markedly decreased. (c) CNGB1 protein molecular alteration caused by CNGB1 variant c.2921T>G p.(Met974Arg). These models were predicted using 5h3o.1. Compared to the wild‐type model, the number of H‐bonds (green dash line) between residues in the mutant model markedly decreased. (d) PDE6B protein molecular alteration caused by PDE6B variant c.622G>A p.(Val208Met). These models were predicted using 6mzb.1. There was no major difference between the wild‐type and mutant models. (e) PDE6B protein molecular alteration caused by PDE6B variant c.2435A>T, p.(Asp812Val). These models were predicted using 6mzb.1. Compared to the wild‐type model, the last helix is divided in the mutant model. (f) RPGR protein molecular alteration caused by RPGR variant c.818A>G, p.(Gln273Arg). These models were predicted using 4jhn.1. Compared to the wild‐type model, the number of H‐bonds (green dash line) between residues in the mutant model markedly decreased. (g) SLC7A14 protein molecular alteration caused by SLC7A14 variant c.524G>A, p.(Gly175Glu). These models were predicted using 6f34.1. Compared to the wild‐type model, glycine is replaced by glutamic acid, which changes the direction of beta strand folding in the mutant model

(a) Schematic representations of genomic structures of genes showing locations of novel variants. Numbers below diagram indicate corresponding exon numbers. Parts of exons are omitted. (b) Schematic representation of USH2A protein showing locations of novel variants. Notably, the PDZ‐binding domain in the last section of the schematic representation in green is difficult to identify because it constitutes two amino acids Topology and molecular models of seven novel variants. (a) CYP4V2 protein molecular alteration caused by CYP4V2 variant c.413G>A, p.(Ser138Asn). These models were predicted using 6c94.1. Compared to the wild‐type model, serine is replaced by aspartic acid, which creates H‐bonds (green dash line) between residues in the mutant model. (b) RPE65 protein molecular alteration caused by RPE65 variant c.1403C>T p.(Ser468Leu). These models were predicted using 4f30.1. Compared to the wild‐type model, the number of H‐bonds (green dash line) between residues in the mutant model markedly decreased. (c) CNGB1 protein molecular alteration caused by CNGB1 variant c.2921T>G p.(Met974Arg). These models were predicted using 5h3o.1. Compared to the wild‐type model, the number of H‐bonds (green dash line) between residues in the mutant model markedly decreased. (d) PDE6B protein molecular alteration caused by PDE6B variant c.622G>A p.(Val208Met). These models were predicted using 6mzb.1. There was no major difference between the wild‐type and mutant models. (e) PDE6B protein molecular alteration caused by PDE6B variant c.2435A>T, p.(Asp812Val). These models were predicted using 6mzb.1. Compared to the wild‐type model, the last helix is divided in the mutant model. (f) RPGR protein molecular alteration caused by RPGR variant c.818A>G, p.(Gln273Arg). These models were predicted using 4jhn.1. Compared to the wild‐type model, the number of H‐bonds (green dash line) between residues in the mutant model markedly decreased. (g) SLC7A14 protein molecular alteration caused by SLC7A14 variant c.524G>A, p.(Gly175Glu). These models were predicted using 6f34.1. Compared to the wild‐type model, glycine is replaced by glutamic acid, which changes the direction of beta strand folding in the mutant model

DISCUSSION

Despite the advent of the personalized medicine era, traditional sequencing has not been able to achieve precise genetic diagnosis (Neveling et al., 2013). NGS technology is regarded as a powerful and effective tool for the detection of pathogenic gene variants underlying genetic RP (Gilissen, Hoischen, Brunner, & Veltman, 2011; Lovric et al., 2014; Riera et al., 2017; Wang et al., 2019). In this study, we used NGS technology, bioinformatics prediction, Sanger sequencing validation, and available family member segregation; we identified 43 families (56.6%) with disease‐causing gene variants, whereas the detection rates were 63.5%, 50%, and 58% in previous studies (Huang et al., 2018; Neveling et al., 2012; Xu et al., 2015). The detection rate of gene variants in patients with RP was higher with targeted panel sequencing and whole exome sequencing than with microarray genotyping (Avila‐Fernandez et al., 2010; Blanco‐Kelly et al., 2012), targeted‐capture sequencing (Fu et al., 2013; Wang et al., 2014), or individual gene sequencing (Sweeney, McGee, Berson, & Dryja, 2007). In the present study, the detection rates of Usher syndrome, Bardet–Biedl syndrome, and Bietti crystalline corneoretinal dystrophy were 17.1% (13 probands), 1.3% (1 proband), and 6.6% (5 probands), respectively. In these targeted panels, panel 5 was the most informative in Chinese patients with RP due to its relatively high detection rate (71.4%). The detection rate of novel variants among all identified variants was 35.8%, whereas the detection rates were 72.7% and 67% in previous studies (Huang et al., 2018; Xu et al., 2014). The higher novel detection rate observed in the prior studies was potentially because probands without identified gene variants were enrolled in those studies. The detection rate of variants in USH2A, the causative gene most frequently identified in this study, was 19.7% (15 probands). Among families with nonsyndromic RP, variants in USH2A were identified in 8.1% (five probands), which was higher than the rate in a study of North American families (7%) (Seyedahmadi, Rivolta, Keene, Berson, & Dryja, 2004) and the rate in a study of Spanish families (7%) (Avila‐Fernandez et al., 2010). Variants c.8559‐2A>G and c.11156G>A in USH2A were recurrent, as they were found in five and four probands, respectively. We presume that these variants are founder variants. In the study, we did not find a disease‐causing variant in 21 families (27.6%), whereas we found only one heterozygous variant of arRP genes in 12 families (15.8%). Possible reasons for these results are as follows. First, targeted panels sequencing and WES cannot capture variants in the noncoding regions of corresponding genes, nor can they detect variants comprising gross deletions, gross insertions, or complex rearrangements (Broadgate, Yu, Downes, & Halford, 2017). Second, the sequencing depth of coverage was insufficient to accurately call all variants, especially those located in regions with high GC content. Third, variants of novel genes in patients with RP may have been filtered out in raw data analysis (Daiger, Sullivan, & Bowne, 2013). Fourth, other mild and moderate systemic clinical manifestations of syndromic RP may have been neglected (Xu et al., 2014). Fifth, small indel, large structural, copy number, or duplication variants in patients with Usher syndrome are not readily identified with NGS technology (Bonnet et al., 2016; O'Donnell‐Luria & Miller, 2016). Whole genome sequencing may be a comprehensive alternative strategy because it partially resolves these problems (Carrigan et al., 2016). In this study, we also detected two novel hemizygous RPGR variants c.2006G>A, p.(Trp669*) and c.818A>G, p.(Gln273Arg). These variants did not segregate with the disease in family Family 15 and Family 176. Both of the probands’ biological parents exhibited wild‐type genotypes without histories of bone marrow transplant surgery. The lack of segregation was possibly because the variants were de novo or because the probands’ mothers exhibited chimerism. Other examinations (e.g., high‐depth DNA sequencing of oral mucosa and urinary sediment for somatic cell chimerism, or of an ovum for gonad chimerism) are needed to definitively determine the statuses of the probands’ mothers. This study identified the gene variants in a cohort of Chinese probands with RP; however, there were some limitations. Some panels did not allow analysis of all RP genes. Furthermore, some families could not undergo segregation analysis. We plan to perform WES or whole genome sequencing to capture more genes and include patients in future research. In conclusion, we enrolled a cohort of 76 families who exhibited RP. We identified 43 families (56.58%) with disease‐causing variants in 15 genes and 12 families (15.79%) with only one heterozygous variant in arRP genes. We also detected 67 potential pathogenic gene variants, of which 24 have not been previously described. These results will provide useful data for clinicians to make accurate genetic diagnosis, prognosis estimation, and genetic counseling; moreover, they will provide further support for researchers to explore RP pathogenesis.

CONFLICT OF INTEREST

The authors declare that they have no conflict of interest with regard to this work. Click here for additional data file. Click here for additional data file. Click here for additional data file. Click here for additional data file. Click here for additional data file. Click here for additional data file. Click here for additional data file. Click here for additional data file.
  57 in total

1.  Gene therapy restores vision and delays degeneration in the CNGB1(-/-) mouse model of retinitis pigmentosa.

Authors:  Susanne Koch; Vithiyanjali Sothilingam; Marina Garcia Garrido; Naoyuki Tanimoto; Elvir Becirovic; Fred Koch; Christina Seide; Susanne C Beck; Mathias W Seeliger; Martin Biel; Regine Mühlfriedel; Stylianos Michalakis
Journal:  Hum Mol Genet       Date:  2012-07-16       Impact factor: 6.150

Review 2.  Retinitis Pigmentosa: Progress and Perspective.

Authors:  Qingjiong Zhang
Journal:  Asia Pac J Ophthalmol (Phila)       Date:  2016 Jul-Aug

Review 3.  Unravelling the genetics of inherited retinal dystrophies: Past, present and future.

Authors:  Suzanne Broadgate; Jing Yu; Susan M Downes; Stephanie Halford
Journal:  Prog Retin Eye Res       Date:  2017-03-29       Impact factor: 21.198

4.  Genetic analysis of 10 pedigrees with inherited retinal degeneration by exome sequencing and phenotype-genotype association.

Authors:  Pooja Biswas; Jacque L Duncan; Bruno Maranhao; Igor Kozak; Kari Branham; Luis Gabriel; Jonathan H Lin; Giulio Barteselli; Mili Navani; John Suk; Michelle Parke; Catherine Schlechter; Richard G Weleber; John R Heckenlively; Gislin Dagnelie; Pauline Lee; S Amer Riazuddin; Radha Ayyagari
Journal:  Physiol Genomics       Date:  2017-01-27       Impact factor: 3.107

5.  Next generation sequencing-based molecular diagnosis of retinitis pigmentosa: identification of a novel genotype-phenotype correlation and clinical refinements.

Authors:  Feng Wang; Hui Wang; Han-Fang Tuan; Duy H Nguyen; Vincent Sun; Vafa Keser; Sara J Bowne; Lori S Sullivan; Hongrong Luo; Ling Zhao; Xia Wang; Jacques E Zaneveld; Jason S Salvo; Sorath Siddiqui; Louise Mao; Dianna K Wheaton; David G Birch; Kari E Branham; John R Heckenlively; Cindy Wen; Ken Flagg; Henry Ferreyra; Jacqueline Pei; Ayesha Khan; Huanan Ren; Keqing Wang; Irma Lopez; Raheel Qamar; Juan C Zenteno; Raul Ayala-Ramirez; Beatriz Buentello-Volante; Qing Fu; David A Simpson; Yumei Li; Ruifang Sui; Giuliana Silvestri; Stephen P Daiger; Robert K Koenekoop; Kang Zhang; Rui Chen
Journal:  Hum Genet       Date:  2013-10-24       Impact factor: 4.132

Review 6.  A Clinician's perspective on clinical exome sequencing.

Authors:  Anne H O'Donnell-Luria; David T Miller
Journal:  Hum Genet       Date:  2016-04-28       Impact factor: 4.132

7.  Clinical whole-exome sequencing for the diagnosis of mendelian disorders.

Authors:  Yaping Yang; Donna M Muzny; Jeffrey G Reid; Matthew N Bainbridge; Alecia Willis; Patricia A Ward; Alicia Braxton; Joke Beuten; Fan Xia; Zhiyv Niu; Matthew Hardison; Richard Person; Mir Reza Bekheirnia; Magalie S Leduc; Amelia Kirby; Peter Pham; Jennifer Scull; Min Wang; Yan Ding; Sharon E Plon; James R Lupski; Arthur L Beaudet; Richard A Gibbs; Christine M Eng
Journal:  N Engl J Med       Date:  2013-10-02       Impact factor: 91.245

8.  Genotyping microarray: mutation screening in Spanish families with autosomal dominant retinitis pigmentosa.

Authors:  Fiona Blanco-Kelly; María García-Hoyos; Marta Cortón; Almudena Avila-Fernández; Rosa Riveiro-Álvarez; Ascensión Giménez; Inma Hernan; Miguel Carballo; Carmen Ayuso
Journal:  Mol Vis       Date:  2012-06-05       Impact factor: 2.367

9.  Correction: Targeted Next-Generation Sequencing for Clinical Diagnosis of 561 Mendelian Diseases.

Authors:  Yanqiu Liu; Xiaoming Wei; Xiangdong Kong; Xueqin Guo; Yan Sun; Jianfen Man; Lique Du; Hui Zhu; Zelan Qu; Ping Tian; Bing Mao; Yun Yang
Journal:  PLoS One       Date:  2015-09-22       Impact factor: 3.240

10.  Panel-Based Population Next-Generation Sequencing for Inherited Retinal Degenerations.

Authors:  Matthew Carrigan; Emma Duignan; Conor P G Malone; Kirk Stephenson; Tahira Saad; Ciara McDermott; Andrew Green; David Keegan; Peter Humphries; Paul F Kenna; G Jane Farrar
Journal:  Sci Rep       Date:  2016-09-14       Impact factor: 4.379

View more
  7 in total

1.  High-Throughput Sequencing to Identify Mutations Associated with Retinal Dystrophies.

Authors:  Fei Song; Marta Owczarek-Lipska; Tim Ahmels; Marius Book; Sabine Aisenbrey; Moreno Menghini; Daniel Barthelmes; Stefan Schrader; Georg Spital; John Neidhardt
Journal:  Genes (Basel)       Date:  2021-08-20       Impact factor: 4.096

2.  Whole exome sequencing of a family revealed a novel variant in the CHM gene, c.22delG p.(Glu8Serfs*4), which co-segregated with choroideremia.

Authors:  Handong Dan; Tuo Li; Xinlan Lei; Xin Huang; Yiqiao Xing; Yin Shen
Journal:  Biosci Rep       Date:  2020-05-29       Impact factor: 3.840

3.  A case of retinitis pigmentosa homozygous for a rare CNGA1 causal variant.

Authors:  Kohei Saito; Norimoto Gotoh; Inyeop Kang; Toshio Shimada; Takeshi Usui; Chikashi Terao
Journal:  Sci Rep       Date:  2021-02-25       Impact factor: 4.379

4.  Genotype-Phenotype Analysis of RPGR Variations: Reporting of 62 Chinese Families and a Literature Review.

Authors:  Junxing Yang; Lin Zhou; Jiamin Ouyang; Xueshan Xiao; Wenmin Sun; Shiqiang Li; Qingjiong Zhang
Journal:  Front Genet       Date:  2021-06-23       Impact factor: 4.599

Review 5.  Next-Generation Sequencing Applications for Inherited Retinal Diseases.

Authors:  Adrian Dockery; Laura Whelan; Pete Humphries; G Jane Farrar
Journal:  Int J Mol Sci       Date:  2021-05-26       Impact factor: 5.923

6.  Application of targeted panel sequencing and whole exome sequencing for 76 Chinese families with retinitis pigmentosa.

Authors:  Handong Dan; Xin Huang; Yiqiao Xing; Yin Shen
Journal:  Mol Genet Genomic Med       Date:  2020-01-20       Impact factor: 2.183

7.  Whole exome sequencing revealed 14 variants in NDP, FZD4, LRP5, and TSPAN12 genes for 20 families with familial exudative vitreoretinopathy.

Authors:  Handong Dan; Dongdong Wang; Zixu Huang; Qianqian Shi; Miao Zheng; Yuanyuan Xiao; Zongming Song
Journal:  BMC Med Genomics       Date:  2022-03-11       Impact factor: 3.063

  7 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.