Literature DB >> 35299232

Whole-exome sequencing in a Japanese multiplex family identifies new susceptibility genes for intracranial aneurysms.

Tatsuya Maegawa1,2, Hiroyuki Akagawa1, Hideaki Onda2,3, Hidetoshi Kasuya2.   

Abstract

BACKGROUND: Intracranial aneurysms (IAs) cause subarachnoid hemorrhage, which has high rates of mortality and morbidity when ruptured. Recently, the role of rare variants in the genetic background of complex diseases has been increasingly recognized. The aim of this study was to identify rare variants for susceptibility to IA.
METHODS: Whole-exome sequencing was performed on seven members of a Japanese pedigree with highly aggregated IA. Candidate genes harboring co-segregating rare variants with IA were re-sequenced and tested for association with IA using additional 500 probands and 323 non-IA controls. Functional analysis of rare variants detected in the pedigree was also conducted.
RESULTS: We identified two gene variants shared among all four affected participants in the pedigree. One was the splicing donor c.1515+1G>A variant in NPNT (Nephronectin), which was confirmed to cause aberrant splicing by a minigene assay. The other was the missense p.P83T variant in CBY2 (Chibby family member 2). Overexpression of p.P83T CBY2 fused with red fluorescent protein tended to aggregate in the cytoplasm. Although Nephronectin has been previously reported to be involved in endothelial angiogenic functions, CBY2 is a novel molecule in terms of vascular pathophysiology. We confirmed that CBY2 was expressed in cerebrovascular smooth muscle cells in an isoform2-specific manner. Targeted CBY2 re-sequencing in additional case-control samples identified three deleterious rare variants (p.R46H, p.P83T, and p.L183R) in seven probands, showing a significant enrichment in the overall probands (8/501) compared to the controls (0/323) (p = 0.026, Fisher's extract test).
CONCLUSIONS: NPNT and CBY2 were identified as novel susceptibility genes for IA. The highly heterogeneous and polygenic architecture of IA susceptibility can be uncovered by accumulating extensive analyses that focus on each pedigree with a high incidence of IA.

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Mesh:

Year:  2022        PMID: 35299232      PMCID: PMC8929693          DOI: 10.1371/journal.pone.0265359

Source DB:  PubMed          Journal:  PLoS One        ISSN: 1932-6203            Impact factor:   3.240


Introduction

An intracranial aneurysm (IA) is an abnormal ballooning that usually develops at the bifurcation of the major cerebral arteries. Its rupture can cause subarachnoid hemorrhage (SAH), one of the most severe forms of stroke, which has high rates of mortality and morbidity. IA is a common complex trait with a prevalence of 3.2% in the general population [1]. In addition to well-established risk factors, such as smoking and hypertension [2], genetic predisposition has been demonstrated to play important roles in the pathophysiology of IA through a number of genome-wide association studies (GWASs) [3, 4]. In recent international GWASs on strokes, tens to hundreds of thousands of patients and controls were recruited, among which the study group for IA explained over half of the disease heritability of IA, including 17 risk loci [5, 6]. The remaining proportion of heritability, the so-called missing heritability, can be partly explained by the effects of rare variants that cannot be detected through standard genetic association analysis, such as GWASs, which targets common polymorphisms [7]. Whole-exome sequencing (WES) approaches are now widely used for detecting rare susceptibility variants for complex traits, as well as the causative mutations of Mendelian disorders by analyzing families with multiple affected members. To date, family-based WES studies for IA have proposed several genes harboring rare susceptibility variants with allelic frequencies less than 1% in the general population, such as TSHD1 and ANGPTL6, which underwent functional analyses of the genes and/or their variants in relation to the cerebrovascular pathophysiology [8, 9]. However, much is still unknown about the role of rare variants in the genetic architecture of IA, especially in patients from East Asia. In the present study, we attempted to identify novel susceptibility genes attributed to functional rare variants, starting with a single Japanese family with highly aggregated IA.

Materials and methods

Ethics statement

The Ethics Committee of Tokyo Women’s Medical University approved the study protocol. All participants or guardians of those who suffered neurological deficits after aneurysmal subarachnoid hemorrhage provided written informed consent.

Subjects

In the past two decades, we performed linkage and association studies in a total of 90 nuclear families, including siblings affected by IA [10-12]. During the long-term follow-up of these families, aneurysmal SAH arose in the offspring of an affected sibling trio (Fig 1A). This multiplex family (F2054) had one of the largest numbers of patients with IA among the 90 families we studied. Therefore, in the present study, F2054 was extensively analyzed for novel susceptibility genes.
Fig 1

Japanese multiplex families with IA.

Pedigree charts of the exome-sequenced family (A) and the Sanger-sequenced affected siblings (B, C) who carried pathogenic variants in CBY2 and NPNT. Colored plus and minus signs (+ and −) indicate mutated and wild-type alleles, respectively. CBY2 and NPNT were identified from the exome data using genome-wide linkage analysis in F2054 (D). Abbreviations: HLOD, maximum heterogeneity logarithm of odds.

Japanese multiplex families with IA.

Pedigree charts of the exome-sequenced family (A) and the Sanger-sequenced affected siblings (B, C) who carried pathogenic variants in CBY2 and NPNT. Colored plus and minus signs (+ and −) indicate mutated and wild-type alleles, respectively. CBY2 and NPNT were identified from the exome data using genome-wide linkage analysis in F2054 (D). Abbreviations: HLOD, maximum heterogeneity logarithm of odds. For re-sequencing and association analysis of candidate genes detected in the pedigree analysis of F2054, additional 500 probands with IA and 323 non-IA controls were enrolled. All subjects were of the Japanese ethnicity. The IA probands included 153 cases of familial IA, of which 89 were from the nuclear families we previously studied [10-12], and 347 cases of sporadic IA. The presence of IA in the patients was confirmed by conventional angiography, 3D computed tomography angiography, magnetic resonance angiography, or surgical findings. We systematically excluded dissecting IAs and IAs secondary to genetic disorders such as autosomal dominant polycystic kidney disease. The 323 unrelated controls were outpatients at the Tokyo Women’s Medical University Hospital, Tokyo Women’s Medical University Medical Center East, and their nearby affiliated hospitals with conditions other than IA. The controls showed no evidence of IA on computed tomography or magnetic resonance angiography, and none of them had a family history of aneurysmal SAH. We also prepared 105 Japanese population-based controls, who were not confirmed to have no IA and were totally different from the 323 non-IA controls, in order to confirm allelic frequencies of the candidate variants in the Japanese general population.

Genetic analysis

Genomic DNA (gDNA) was extracted from peripheral blood leukocytes using a standard method. gDNA from each of the seven participants from the pedigree F2054 (III-1 to 4, III-6, III-7, and IV-1) (Fig 1A) was subjected to exome enrichment using a SureSelect Human All Exon V5 kit, according to the manufacturer’s instructions (Agilent Technologies Inc., Santa Clara, USA). Enriched DNA libraries were sequenced using 100-bp paired-end reads on a HiSeq 2000 sequencer (Illumina, San Diego, USA). The reads were aligned to the Genome Reference Consortium Human Build 37 (GRCh37). After the first alignment step was performed using BWA-MEM in Burrows-Wheeler Aligner version 0.7.15 (https://github.com/lh3/bwa/releases/tag/v0.7.15) [13], any discordantly mapped or unmapped read pairs were realigned using Novoalign version 3.04.06 (http://www.novocraft.com). Picard version 2.5.0 (https://github.com/broadinstitute/picard/releases/tag/2.5.0) was used to mark and remove polymerase chain reaction (PCR) duplicates. Variants were identified by single-sample calling with HaplotypeCaller using Genome Analysis Toolkit version 3.5 (https://console.cloud.google.com/storage/browser/gatk-software/package-archive/gatk) [14] and annotated using ANNOVAR version 2019Dec06 (http://annovar.openbioinformatics.org/) [15]. The seven participants from the pedigree F2054 (Fig 1A) were also genotyped with a HumanOmni1-Quad BeadChip array (Illumina) for genome-wide linkage analysis, which allowed for the narrowing down of susceptibility chromosomal loci in this pedigree [16]. From the single-nucleotide polymorphism (SNP) data obtained from the array, we selected 45,525 SNPs (44,621 autosomal and 904 X-chromosomal SNPs) according to the following procedures: (i) A/T and C/G SNPs were excluded to avoid misinterpretation of the forward/reverse strand, (ii) requiring that they were heterozygous in at least three genotyped individuals, (iii) the SNPs genotyped in the HapMap JPT individuals were kept and merged together with the JPT data (https://www.sanger.ac.uk/resources/downloads/human/hapmap3.html) [17], and (iv) pairwise linkage disequilibrium (LD)-based SNP pruning was performed to remove one of a pair of SNPs if the LD (r2) was greater than 0.2 using PLINK version 1.07 (http://zzz.bwh.harvard.edu/plink/index.shtml) [18]. These selected SNPs were used for a parametric linkage analysis, calculated using Merlin version 1.1.2 (http://csg.sph.umich.edu/abecasis/merlin/index.html), assuming a dominant model with reduced penetrance (set at 0.667) on the HapMap GRCh37 recombination map (ftp://ftp-trace.ncbi.nih.gov/1000genomes/ftp/technical/working/20110106_recombination_hotspots/) [17, 19]. We also analyzed allele sharing by computing identity by descent (IBD) segments using Beagle version 3.3 (https://faculty.washington.edu/browning/beagle/b3.html) from the filtered SNP array data, as mentioned above in (i) and (iii) [20]. Confirmation of the candidate variants identified by exome sequencing and subsequent re-sequencing of the candidate genes in the additional cohorts was performed via standard PCR-based amplification, followed by BigDye Terminator cycle sequencing on a 3130xl Genetic Analyzer (Thermo Fisher Scientific, Waltham, USA).

In vitro splicing assay

One of the variants was identified in an exon-intron junction (NPNT c.1515+1G>A, NM_001184692), whose impact on splicing was first evaluated using various in silico predictors, as described in the following section. To confirm these in silico predictions, a minigene assay was performed [21]. The exon and its adjacent intronic sequences containing wild-type or mutant splice-site variants were subcloned into the XhoI/SpeI-digested Exontrap pET01 vector (MoBi-Tec GmbH, Göttingen, Germany). HeLa cells were cultured in Eagle’s minimum essential medium containing non-essential amino acids and 10% fetal bovine serum (FBS). The cells were transfected with the wild-type or mutant vector using Lipofectamine 2000 (Thermo Fisher Scientific). At 24 h post-transfection, total RNA was extracted, and reverse transcription (RT)-PCR covering between the 5’ and 3’ exons in the pET01 vector was performed. The RT-PCR products were visualized by agarose gel electrophoresis and sequenced using BigDye Terminator cycle sequencing on a 3130xl Genetic Analyzer (Thermo Fisher Scientific). The primer sequences are provided in S1 File.

Expression analysis in cerebrovascular tissues

CBY2 (alternatively referred to as SPERT) was of particular interest in the genetic analysis and was therefore analyzed for its expression in cerebral arterial tissues. Immunohistochemical staining of paraffin-embedded specimens of surgically resected peripheral cerebral arteries, arteriovenous malformations (AVMs), and IA was performed using a Histofine MAX-PO kit (Nichirei Biosciences Inc., Tokyo, Japan). The antibodies used were rabbit polyclonal anti-SPERT (#AP5649a) produced using an amino-terminal region (amino acids 104–134, isoform1) of human SPERT as an immunogen (Abgent, San Diego, USA), mouse monoclonal anti-CD34 (Nichirei Biosciences Inc.), mouse monoclonal anti-SMA (Dako, Agilent Technologies Inc.), and mouse monoclonal anti-GFAP (Nichirei Biosciences Inc.). Antigen retrieval and the dilution of antibodies were performed according to the manufacturer’s instructions. RT-PCR to amplify the CBY2 transcripts was performed using the following complementary DNAs (cDNAs) from human tissues: Human Adult Normal Tissue cDNA from Testis and Brain (BioChain Institute, Inc., Newark, USA) as positive controls, according to the ENCODE data provided in the Expression Atlas (https://www.ebi.ac.uk/gxa/home), human brain vascular smooth muscle cell (HBVSMC) cDNA, and human brain microvascular endothelial cell (HBMEC) cDNA (ScienCell Research Laboratories Inc., Carlsbad, USA). GAPDH was used as an internal reference for each sample. The sequences of the primers used are provided in S1 File.

Cell imaging

The CBY2 transcriptional sequence encoding isoform 2 (Q8NA61-2) was obtained by purchasing a SPERT (NM_001286342) human untagged clone plasmid (OriGene Technologies Inc., Rockville, USA). The sequence variant detected in pedigree F2054 (NM_001286342, c.247C>A) was introduced into the OriGene plasmid using a KOD-Plus Mutagenesis kit (Toyobo, Osaka, Japan). The wild-type and mutant CBY2 sequences were subcloned into the NheI/AgeI-digested pDsRed-Monomer-C1 vector (Takara Bio Inc., Kusatsu, Japan). The primer sequences are provided in S1 File. COS7 cells were cultured in Dulbecco’s modified Eagle’s medium (DMEM) supplemented with 10% FBS. The cells were transfected with the wild-type or mutant vector expressing CBY2 isoform 2 (Q8NA61-2) fused with carboxyl-terminal monomeric DsRed using Lipofectamine 2000 (Thermo Fisher Scientific). At 24 h post-transfection, Hoechst 33342 (R37605; Thermo Fisher Scientific) was added into the culture media according to the manufacturer’s instructions, and live-cell imaging was performed using a confocal laser scanning microscope (LSM) 5 Pascal (Carl Zeiss, Oberkochen, Germany).

In silico functional analysis

Functional annotations of the coding variants were obtained from dbNSFP version 3.0a (https://sites.google.com/site/jpopgen/dbNSFP) using ANNOVAR [15, 22], which provides deleteriousness measures of missense variants, such as SIFT (https://sift.bii.a-star.edu.sg/) and PolyPhen-2 (http://genetics.bwh.harvard.edu/pph2/) [23, 24]. C-scores of the combined annotation dependent depletion (CADD) version 1.2 were obtained from the developer’s web server (http://cadd.gs.washington.edu/) [25]. Functional assessment of the splice-site variant was performed using Human Splicing Finder 3 (http://www.umd.be/HSF3/) [26], NetGene2 (http://www.cbs.dtu.dk/services/NetGene2/) [27], NNSPLICE0.9 (http://www.fruitfly.org/seq_tools/splice.html) [28], and SpliceAI (https://github.com/Illumina/SpliceAI) [29]. The 3D structure of the CBY2 protein was predicted using the RaptorX web server (http://raptorx.uchicago.edu/) [30]. The propensity for protein aggregation was predicted using PASTA2.0 (http://old.protein.bio.unipd.it/pasta2/) [31].

Statistical analysis

The association between the detected candidate variants and IA was assessed by comparing the gene-based variant burden using the two-tailed Fisher’s exact test. Candidates for this burden association test were defined as rare and putatively functional variants with allelic frequencies less than 1% in the general population and our controls, and consistently predicted as deleterious by both SIFT and PolyPhen-2 HumDiv [23, 24]. The expression patterns of COS7 cells transfected with CBY2-DsRed were classified into three types according to the study by Seki et al. (2005): (i) cells without aggregation, (ii) with massive aggregations, and (iii) with dot-like aggregations [32]. DsRed-positive cells were counted in three independent fields of view. The difference in the rate of cells with aggregation per field of view between the wild-type and mutant CBY2-DsRed was assessed using an unpaired Student’s t-test. A P value less than 0.05 (p<0.05) was considered significant in the present study.

Results

The pedigree F2054 harbored at least seven affected individuals over three generations (Fig 1A), whereas most of the previously studied families were nuclear families for affected sib-pair analysis (Fig 1B and 1C) [10]. Although the genetic basis of F2054 was likely to be complex, involving reduced penetrance, phenocopy, and poly- or oligogenic inheritance, sequence variants shared by all affected participants (III-1, III-4, III-5, and IV-1) were the most highly prioritized in the present study. According to this inheritance scenario, a parametric linkage analysis was performed, assuming III-2 as a carrier and III-6 and 7 as unknown phenotypes. Chromosomal regions spanning over 2cM with positive maximum heterogeneity logarithm of odds (HLOD) scores are depicted in Fig 1D [16, 19]. Variants detected within 582.5cM of these linkage regions were preferentially reviewed in the whole-exome sequencing (WES) data that achieved an on-average 86.0-fold read depth for the exome-enriched regions. Candidate variants were extracted according to each genotype across the seven participants in F2054, which was consistent with the regional IBD-sharing pattern estimated by BEAGLE [20]. This combined method allowed for the systematic elimination of false-positive and false-negative errors occasionally observed in next-generation sequencing (NGS). Table 1 presents seven candidate variants with allelic frequencies less than 1% in the gnomAD database (https://gnomad.broadinstitute.org/), and PolyPhen-2 HumDiv scores greater than 0.957, corresponding to the prediction of probable damage for non-synonymous substitutions (S1 Table in S1 File) [24, 33]. We also confirmed that these variants were not detected in 105 Japanese population-based controls. During the filtering process, variants detected in both III-6 and III-7, which might be considered as intrafamilial controls, were excluded. Other candidate variants validated by Sanger sequencing are listed in S1 Table in S1 File. There were no homozygous or compound heterozygous candidates shared by the affected sisters (III-1, III-4, and III-5) with allelic frequencies less than 3% in the gnomAD and the Human Genome Variation Database (HGVD, https://www.hgvd.genome.med.kyoto-u.ac.jp/) [34]
Table 1

Seven representative candidate genes identified from the family F2054.

refGeneSequence changedbSNPGenotypeIBD segment (width cM)CADD v1.2HGVDgnomAD
rs IDIII-1III-2III-4III-5III-6III-7IV-1Shared membersver.1.42
ALB c.1490T>A- T/A T/A T/A T/A T/TT/T T/A chr4:59692718–7568121614.400
[NM_000477](p.V497D)(11.13cM)
III-1,2,4,5,IV-1
NPNT c.1515+1G>Ars776559543 G/A G/A G/A G/A G/A G/G G/A chr5:78334484–11335696127.200.0002
[NM_001184692](exon10 skipping)(33.07cM)
III-1,2,4,5,6,IV-1
ANKRD55 c.115G>Crs201139565 G/C G/C G/C G/C G/C G/G G/C chr5:55352770–6094192918.770.00640.0008
[NM_024669](p.D39H)
(5.61cM)
ACTBL2 c.223G>A- G/A G/A G/A G/A G/A G/G G/A III-1,2,4,5,6,IV-114.5700
[NM_001017992](p.G75R)
HOXC6 c.250C>Trs767298048 C/T C/T C/T C/T C/T C/C C/T chr12:53153129–5534293521.70<0.0001
[NM_004503](p.L84F)
(3.07cM)
NCKAP1L c.A248A>G- A/G A/G A/G A/G A/G A/A A/G 22.300
III-1,2,4,5,6,IV-1
[NM_005337](p.E83G)
CBY2 c.247C>Ars200515699 C/A C/A C/A C/A C/A C/C C/A chr13:40852484–463595126.60.00180.0005
[NM_001286342](p.P83T)(7.20cM)
III-1,2,4,5,6,IV-1

IBD segment, identity by descent segments were calculated from the SNP array data using Beagle version 3.3; CADD, C-scores of the combined annotation-dependent depletion version 1.2; HGVD, allelic frequencies in the Human Genome Variation Database release version 1.42; gnomAD, allelic frequencies in the exome dataset of the Genome Aggregation Database. None of the listed variants were observed in our 105 Japanese population-based controls.

IBD segment, identity by descent segments were calculated from the SNP array data using Beagle version 3.3; CADD, C-scores of the combined annotation-dependent depletion version 1.2; HGVD, allelic frequencies in the Human Genome Variation Database release version 1.42; gnomAD, allelic frequencies in the exome dataset of the Genome Aggregation Database. None of the listed variants were observed in our 105 Japanese population-based controls. Among the top seven candidates, the c.1515+1G>A variant in NPNT was deleterious because it disrupted the canonical splice donor site. To confirm the in silico prediction of aberrant splicing (Fig 2), a minigene assay was performed. The cells expressing c.1515+1G>A demonstrated complete skipping of exon 10, resulting in immediate premature termination p.Gly450ArgfsTer5 (Fig 3). The gene product Nephronectin (NPNT) is a member of the epidermal growth factor (EGF) repeat superfamily of proteins and has been reported to contribute to endothelial cell activity and angiogenesis [35]. Since impaired endothelial cell function is thought to play a major role in the pathogenesis of aneurysm formation [36], re-sequencing of the entire coding region of NPNT was added to 95 familial IA probands. A nonsense variant, c.1364C>A (p.Ser455Ter), was identified in a female patient with aneurysmal SAH. However, a DNA sample from her affected sister was not available because she had died of aneurysmal SAH (Fig 1B).
Fig 2

In silico splicing analysis of the NPNT c.1515+1G>A variant.

A functional assessment of the splice-site variant was performed using three web-based and one locally installed programs. All of the programs consistently predict that this variant causes loss of the splice donor site. Abbreviation: N/A, not applicable.

Fig 3

Minigene splicing assay of the c.1515+1G>A variant in NPNT.

(A) The pET01 construct used in this study. The sequences containing the c.1515+1G>A variant in NPNT intron 10 (A allele) or those that did not (G allele) were subcloned into the multiple cloning site of the pET01 vector. The arrows under the 3’ and 5’ exons indicate the primer pair used in RT-PCR after transfection. The primer sequences are provided in S2-1 Table in S1 File. (B) RT-PCR analysis using HeLa cells transfected with the wild-type, mutant, or empty (mock) pET01 vector. The RT-PCR products were separated in a 3% agarose gel electrophoresis and were stained with ethidium bromide. (C) Sequencing chromatograms confirmed the exon 10 was totally skipped in the mutant RT-PCR product.

In silico splicing analysis of the NPNT c.1515+1G>A variant.

A functional assessment of the splice-site variant was performed using three web-based and one locally installed programs. All of the programs consistently predict that this variant causes loss of the splice donor site. Abbreviation: N/A, not applicable.

Minigene splicing assay of the c.1515+1G>A variant in NPNT.

(A) The pET01 construct used in this study. The sequences containing the c.1515+1G>A variant in NPNT intron 10 (A allele) or those that did not (G allele) were subcloned into the multiple cloning site of the pET01 vector. The arrows under the 3’ and 5’ exons indicate the primer pair used in RT-PCR after transfection. The primer sequences are provided in S2-1 Table in S1 File. (B) RT-PCR analysis using HeLa cells transfected with the wild-type, mutant, or empty (mock) pET01 vector. The RT-PCR products were separated in a 3% agarose gel electrophoresis and were stained with ethidium bromide. (C) Sequencing chromatograms confirmed the exon 10 was totally skipped in the mutant RT-PCR product. Of the remaining six missense candidates (Table 1), the CBY2 variant was of particular interest because the same variant was also shared among affected siblings from another family (F2012, Fig 1C). Moreover, chromosome 13q14.12–21.1 including the CBY2 locus, has been previously reported as a significant linkage region in a large Caucasian family with IA [37]. In contrast to NPNT, which serves known endothelial cell activities [35], the function of CBY2 in relation to vascular pathophysiology is unknown. Therefore, further analyses were conducted on CBY2 in the present study. We first examined the expression of CBY2 in human cerebrovascular tissues. Immunohistochemistry demonstrated that CBY2 was expressed in the medial smooth muscle layer of cerebral arterial specimens (Fig 4). RT-PCR further revealed that CBY2 expression in human brain vascular smooth muscle cells (HBVSMCs) was transcription variant-specific (NM_001286342), which encodes isoform 2 (Q8NA61-2) with a shorter 5’ coding sequence compared to isoform 1 (Q8NA61-1) (S1 and S2 Figs in S1 File). Therefore, re-sequencing of the coding exons of isoform 2 was performed in an additional 500 IA probands and 323 non-IA controls, which resulted in the identification of a total of seven nonsynonymous variants. One missense and one truncating variant were common polymorphisms that showed no association with IA (p = 0.838 and p = 0.346, Fisher’s extract test) (S3 Table in S1 File): the c.877A>G (p.Lys293Glu) SNP, predicted as a benign substitution by PolyPhen-2 and SIFT, and the c.749C>A (p.Ser250Ter) SNP, providing a short transcriptional variant lacking the last one of the three consecutive coiled-coil domains. The other five were rare missense variants, of which three were not observed in our 323 controls and were consistently predicted to be damaging by PolyPhen-2 and SIFT (Table 2): c.137G>A (p.Arg46His) was identified in one patient, c.548T>G (p.Leu183Arg) in two patients, and c.247C>A (p.Pro83Thr) in five patients, including the probands of the F2054 and F2012 families. A significant enrichment of these damaging rare variants in CBY2 among the IA patients (8 of 501) was observed compared to the controls (0/323) (p = 0.026, Fisher’s extract test).
Fig 4

Immunohistochemistry of cerebral arterial specimens.

The upper six panels show immunohistochemical staining of a surgically resected peripheral cerebral artery from a patient with a brain tumor: (A) hematoxylin-eosin staining, (B) Elastica van Gieson staining (EVG) of elastic fibers, (C) anti-GFAP antibody staining of the glia around the vessel, (D) anti-CBY2 antibody staining, (E) anti-SMA antibody staining of vascular smooth muscle cells, and (F) anti-CD34 antibody staining of vascular endothelial cells. CBY2 is expressed in vascular smooth muscle cells in the tunica media. (G and H) The lower four panels show anti-CBY2 antibody staining of the surgically resected AVM and IA walls. CBY2 was expressed in smooth muscle cells in the arteriolar wall (G) and was also confirmed in residual smooth muscle cells in the IA wall (H).

Table 2

Association analysis with rare sequence variants in CBY2.

No. of detected subjects
LocusNucleotide changeAmino acid changedbSNPFamilial casesSporadic casesControlsSIFTPolyPhen2
rs-ID(n = 154)(n = 347)(n = 323)HumDiv
Exon3c.137G>Ap.R46Hrs1248037417100DeleteriousProbably Damaging
Exon3c.247C>Ap.P83Trs200515699230DeleteriousProbably Damaging
Exon3c.456G>Cp.M152Irs1370354284010ToleratedBenign
Exon3c.548T>Gp.L183Rrs533443725110DeleteriousProbably Damaging
Exon3c.919G>Cp.A307P-001ToleratedPossibly Damaging
Total no. of deleterious variants440
Burden association testp = 0.026 (vs. total cases), p = 0.011 (vs. familial cases)

The burden association test was performed using a two-tailed Fisher’s exact test.

Immunohistochemistry of cerebral arterial specimens.

The upper six panels show immunohistochemical staining of a surgically resected peripheral cerebral artery from a patient with a brain tumor: (A) hematoxylin-eosin staining, (B) Elastica van Gieson staining (EVG) of elastic fibers, (C) anti-GFAP antibody staining of the glia around the vessel, (D) anti-CBY2 antibody staining, (E) anti-SMA antibody staining of vascular smooth muscle cells, and (F) anti-CD34 antibody staining of vascular endothelial cells. CBY2 is expressed in vascular smooth muscle cells in the tunica media. (G and H) The lower four panels show anti-CBY2 antibody staining of the surgically resected AVM and IA walls. CBY2 was expressed in smooth muscle cells in the arteriolar wall (G) and was also confirmed in residual smooth muscle cells in the IA wall (H). The burden association test was performed using a two-tailed Fisher’s exact test. To explore the functional impact of p.Pro83Thr, wild-type or p.P83T CBY2 fused with carboxyl-terminal monomeric DsRed was transiently expressed in COS7 cells. As previously reported [38], the expressed CBY2 proteins were localized in the cytoplasm (Fig 5). The mutant p.P83T CBY2 exhibited dot-like aggregations more frequently than the wild-type (p = 0.034, unpaired Student’s t-test). This functional change in the aggregation propensity was further supported by in silico structural analyses [30, 31]. The p.Pro83Thr substitution elongates the neighboring stretches of the beta strand to form an anti-parallel aggregation motif (S3 Fig in S1 File), reflecting that proline is a well-known secondary structure breaker [39].
Fig 5

Cell imaging of CBY2-expressing COS7 cells.

(A) Wild-type or p.P83T CBY2-DsRed was transiently expressed in COS7 cells. The upper three panels represent mock-transfected cells. p.P83T CBY2-DsRed exhibited dot-like aggregations in the cytoplasm. (B) These aggregates were observed more frequently in the cells expressing p.P83T CBY2 than that expressing wild-type CBY2 (p = 0.034, unpaired Student’s t-test). DsRed-positive cells were counted in three independent fields of view.

Cell imaging of CBY2-expressing COS7 cells.

(A) Wild-type or p.P83T CBY2-DsRed was transiently expressed in COS7 cells. The upper three panels represent mock-transfected cells. p.P83T CBY2-DsRed exhibited dot-like aggregations in the cytoplasm. (B) These aggregates were observed more frequently in the cells expressing p.P83T CBY2 than that expressing wild-type CBY2 (p = 0.034, unpaired Student’s t-test). DsRed-positive cells were counted in three independent fields of view.

Discussion

In the present study, we identified two functional variants in NPNT and CBY2 that segregated with IA in a Japanese multiplex family. The first was the splicing donor c.1515+1G>A variant in NPNT, resulting in aberrant splicing, while the other was the c.247C>A (p.Pro83Thr) variant in CBY2, which showed an increased aggregation propensity of the gene product in the cytoplasm. These genes were found to be involved in the functions of vascular endothelial and smooth muscle cells, respectively. Their impairment by genetic variants may disrupt the vascular wall integrity and lead to aneurysm formation in this family. NPNT was originally identified as an extracellular matrix protein that acts as a functional ligand of integrin alpha-8/beta-1 during embryonic development of the kidney [40]. NPNT expression has been reported in a number of embryonic and adult tissues, including blood vessels, indicating its role in embryonic development, as well as maintenance of various adult tissues [41]. Subsequent studies also highlighted its functional aspects as a member of the EGF repeat superfamily proteins and a homolog of epidermal growth factor-like protein 6 (EGFL6) [42]. Many proteins in this family, including EGFL6, are known to promote endothelial cell migration and angiogenesis [43]. Indeed, a recent study revealed that NPNT had a direct effect on endothelial cell activities and regulated angiogenesis via the extracellular signal-regulated kinase 1/2 (ERK1/2) and p-38 mitogen-activated kinase (MAPK) signaling pathways [35]. In this study, two loss-of-function mutations, c.1515+1G>A, which results in exon 10 skipping, and p.Ser455Ter, were identified in our familial IA patients (Figs 1–3). However, the number of patients with mutations was too small for any conclusions to be drawn, reflecting a high degree of genetic heterogeneity for IA. In contrast, rare CBY2 variants were significantly associated with IA in our case-control samples (p = 0.026, Fisher’s extract test) (Table 2). Three patient-specific deleterious variants (p.Arg46His, p.Pro83Thr, and p.Leu183Arg) were identified in eight IA probands, of which p.Pro83Thr was confirmed to be co-segregated in two pedigrees (Fig 1A and 1C) and caused abnormal protein aggregation in the cytoplasm (Fig 5). Protein aggregation is involved in the etiology of various human diseases due to the loss of protein function, cytotoxicity, or acquisition of novel aggregation-specific functions [44]. The gene product Cby2 (Chibby family member 2) was first identified as an interacting partner of Nek1 (never in mitosis gene A-related kinase 1) in mice [38]. Nek1-deficient mice develop facial dysmorphism, male sterility, and slowly progressing polycystic kidney disease (PKD), with renal pathology similar to that of human autosomal dominant polycystic kidney disease (ADPKD), because Nek1 functions in the formation of primary cilia [45, 46]. The family protein Cby1 also plays a crucial role in ciliogenesis by interacting with polycystin-2, a protein mutated in patients with ADPKD [47, 48]. Nek1 phosphorylates tafazzin, an adaptor protein in an E3 ubiquitin ligase complex that targets polycistin-2 for degradation, to maintain normal levels of polycistin-2 for proper ciliogenesis [46]. These lines of evidence indicate that Cby2 is a ciliogenesis-associated protein, although little is known about this molecule apart from its role in intracellular protein trafficking during spermatogenesis in the context of male sterility due to Nek1 deficiency [38]. Primary cilia are found in a variety of cell types, including vascular endothelial and smooth muscle cells, and participate in chemo- and mechanosensing for extracellular signals, such as blood flow, and relaying the signals into the cells [48-50]. A growing body of evidence has demonstrated that primary cilia dysfunction contributes to the development of various vascular diseases, such as hypertension, arteriosclerosis, and IA [50, 51]. However, the underlying molecular mechanisms remain to be elucidated. In this study, we confirmed that CBY2 is expressed in cerebrovascular smooth muscle cells and is significantly associated with IA, which provides insights into the role of the cilia-associated protein network in the pathogenesis of IA. A potential limitation of this study was that the mode of inheritance prioritized in the exome-sequenced family F2054 was limited. The allele-sharing pattern of the NPNT and CBY2 variants was reasonable as the obligate carrier III-2 was the only member who did not have hypertension, the foremost risk factor for IA, among the seven participants in F2054 (Fig 1A). However, other modes of inheritance should be considered, such as a mode in which susceptibility variants in generations II and III did not transmit to the patients IV-1. For example, a frameshift c.329_330delAC variant (p.Thr111SerfsTer22, rs572295823) in the CD36 gene (NM_001001548) was detected according this inheritance scenario: it was shared among the patients III-1, 4 and 5, but not transmitted to the patient IV-1 (S1 Table in S1 File). The allelic frequency of this frameshift variant was 0.019% in the East Asian (EAS) population from the 1000 genomes database (https://www.internationalgenome.org/home); therefore, it was regarded as a low-frequency polymorphism and excluded from further analysis in the present study. However, CD36 is still considered a potential candidate gene. The CD36 locus (7q21.11) was located within the linkage region of IA (D7S2415-D7S657, corresponding to 7q11.22–21.3), which was previously reported in our affected sib-pair linkage analysis that included patients III-1, 4, and 5 from F2054 [10]. CD36 is a membrane glycoprotein that is expressed in various mammalian cells. On macrophages infiltrating the arterial intima, CD36 acts as a scavenger receptor to internalize oxidized low-density lipoproteins, which induce the secretion of inflammatory cytokines and promote atherosclerosis [52]. As similar macrophage-mediated inflammatory responses have been reported in IA lesions induced in rodent models [53], exploring the association between CD36 and IA will be a task for future studies. As shown in this example, relaxed thresholds of diseased allele frequencies, penetrance, and phenocopy rates gave a number of candidate variants whose susceptibility to IA could not be determined solely by a single pedigree analysis. Accumulated genetic data from many other large pedigrees with IA will facilitate our understanding of the polygenic architecture of IA susceptibility, which vastly differs from Mendelian inheritance such as autosomal dominant and recessive patterns. In conclusion, two novel susceptibility genes, NPNT and CBY2, were identified in this study. The genetic architecture of familial IA seems highly heterogeneous and polygenic, which integrates different etiological mechanisms, such as endothelial dysfunction, primary cilia dysfunction, and atherogenic inflammation. Although an extensive analysis of each multiplex family was only able to detect a few of the leading susceptibility genes within the family, the cross-checking of multiple familial datasets is likely to uncover the diverse and complex genetic causes underlying IA formation.

This file contains S1-S3 Tables and S1-S3 Figs.

(DOCX) Click here for additional data file.

Original gel data used in S1 Fig.

(PDF) Click here for additional data file. 28 Dec 2021
PONE-D-21-35037
Whole-exome sequencing in a Japanese multiplex family identifies new susceptibility genes for intracranial aneurysms
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Any typographical or grammatical errors should be corrected at revision, so please note any specific errors here. Reviewer #1: Yes Reviewer #2: Yes ********** 5. Review Comments to the Author Please use the space provided to explain your answers to the questions above. You may also include additional comments for the author, including concerns about dual publication, research ethics, or publication ethics. (Please upload your review as an attachment if it exceeds 20,000 characters) Reviewer #1: This study brings forth causal variants in two genes NPNT and CBY2 for intracranial aneurysms. The authors have examined families and singletons and conducted expression studies for these genes. The focus has been on CBY2, within the locus identified in a different population and highly expressed in testis. I have the following comments about this manuscript: Major comments: 1. Did the authors consider separate population frequency cut offs for predicted AD AR inheritance for each? 2. What population frequency database were referred to? I would include gnomAD, KAVIAR and any other population specific public database if available. 3. In table 1, include population frequency for the alternate allele from gnomAD/ALFA like in Suppl table S1 etc 4. The authors discuss the possibility of a complex pattern of inheritance including reduced penetrance for the multiplex families. I suggest that the authors include an inheritance pattern (autosomal dominant, recessive etc) explicitly in the Discussion to make their case stronger. 5. Can the authors also include a hypothesis about the functional effect of the variants? In supplementary information, the data for splice site variant is shown for NPNT. It would be good to know if the CBY2 and NPNT variants are acting as loss or function or gain of function mutation in IA. 6. The authors mention 'gene product' on many occasions throughout the manuscript. By that, do they mean mRNA or protein? If the latter, then it needs to be modified in the manuscript. Minor comments: 1. Correct syntax errors: Ex: Remove g for DNA sample of sister in line 267; Remove gDNA in line 386 etc. 2. I would suggest moving Figure S1 to the main manuscript. Reviewer #2: I genuinely appreciate the effortful and highly systematic methodologies conducted in revealing novel susceptibility genes for intracranial aneurysms in the Japanese family. I do encourage the authors to conduct this well-elaborated methodology at a higher scale with increasing sample sizes and incorporating other non-Japanese candidates as possible in the near future. ********** 6. PLOS authors have the option to publish the peer review history of their article (what does this mean?). If published, this will include your full peer review and any attached files. If you choose “no”, your identity will remain anonymous but your review may still be made public. Do you want your identity to be public for this peer review? For information about this choice, including consent withdrawal, please see our Privacy Policy. Reviewer #1: No Reviewer #2: Yes: MM While revising your submission, please upload your figure files to the Preflight Analysis and Conversion Engine (PACE) digital diagnostic tool, https://pacev2.apexcovantage.com/. PACE helps ensure that figures meet PLOS requirements. To use PACE, you must first register as a user. Registration is free. Then, login and navigate to the UPLOAD tab, where you will find detailed instructions on how to use the tool. If you encounter any issues or have any questions when using PACE, please email PLOS at figures@plos.org. Please note that Supporting Information files do not need this step. 23 Feb 2022 RESPONSE TO REVIEWER #1: We wish to express our appreciation to the Reviewer for his/her insightful comments, which have helped us to considerably improve our manuscript. Reviewer #1: This study brings forth causal variants in two genes NPNT and CBY2 for intracranial aneurysms. The authors have examined families and singletons and conducted expression studies for these genes. The focus has been on CBY2, within the locus identified in a different population and highly expressed in testis. I have the following comments about this manuscript: Comment 1: Did the authors consider separate population frequency cut offs for predicted AD AR inheritance for each? Response: Thank you for this comment. We have added the following text (revised text lines 254-257): “There were no homozygous or compound heterozygous candidates shared by the affected sisters (III-1, III-4, and III-5) with allelic frequencies less than 3% in the gnomAD and the Human Genome Variation Database (HGVD, https://www.hgvd.genome.med.kyoto-u.ac.jp/)” Comment 2: What population frequency database were referred to? I would include gnomAD, KAVIAR and any other population specific public database if available. Response: As we responded in comment 1 and presented in the Table S1, the Human Genetic Variation Database (HGVD, https://www.hgvd.genome.med.kyoto-u.ac.jp/) in the Japanese general population was referred to in addition to the gnomAD. Comment 3: In table 1, include population frequency for the alternate allele from gnomAD/ALFA like in Suppl table S1 etc. Response: Based on the reviewer’s comment, we have added the HGVD and gnomAD data in Table 1. Comment 4: The authors discuss the possibility of a complex pattern of inheritance including reduced penetrance for the multiplex families. I suggest that the authors include an inheritance pattern (autosomal dominant, recessive etc) explicitly in the Discussion to make their case stronger. Response: Based on the reviewer’s comment, we have changed the following text from (revised text lines 408-411): “The accumulated genetic data from many other large pedigrees with IA will facilitate our understanding of the polygenic architecture of IA susceptibility.” to “Accumulated genetic data from many other large pedigrees with IA will facilitate our understanding of the polygenic architecture of IA susceptibility, which vastly differs from Mendelian inheritance such as autosomal dominant and recessive patterns.” Comment 5: Can the authors also include a hypothesis about the functional effect of the variants? In supplementary information, the data for splice site variant is shown for NPNT. It would be good to know if the CBY2 and NPNT variants are acting as loss or function or gain of function mutation in IA. Response: Based on the reviewer’s comment, we have added the following text (revised text lines 361-363) and reference to describe the presumed effect of the CBY2 variant : “Protein aggregation is involved in the etiology of various human diseases due to the loss of protein function, cytotoxicity, or acquisition novel aggregation-specific functions [44]. ” “44. De Baets G, Van Doorn L, Rousseau F, Schymkowitz J. Increased aggregation is more frequently associated with human disease-associated mutations in neutral polymorphisms. PLoS Comput Biol. 2015;11(9):e1004374.” The NPNT variants identified in our IA cases were loss-of-function, as mentioned in the discussion (revised text lines 353-355). Comment 6: The authors mention 'gene product' on many occasions throughout the manuscript. By that, do they mean mRNA or protein? If the latter, then it needs to be modified in the manuscript. Response: We strictly adhered to the guidelines for human gene nomenclature established by the HUGO Gene Nomenclature Committee (HGNC) throughout the manuscript, which is also recommended in the submission guidelines of PLOS ONE (https://journals.plos.org/plosone/s/submission-guidelines). The HGNC endorses the use of italics to denote genes, alleles and RNAs to distinguish them from proteins, and recommends that “protein and gene symbols should use the same abbreviation”. They further suggested that proteins should be referenced using non-italicized gene symbols to distinguish them from genes. Please see the following paper from HGNC. Bruford EA, Braschi B, Denny P, Jones TEM, Seal RL, Tweedie S. Guidelines for human gene nomenclature. Nat Genet. 2020 Aug;52(8):754-758. doi: 10.1038/s41588-020-0669-3. PMID: 32747822; PMCID: PMC7494048. Comment 7: Correct syntax errors: Ex: Remove g for DNA sample of sister in line 267; Remove gDNA in line 386 etc. Response: We sincerely apologize for these errors. They have been corrected in the revised manuscript. Comment 8: I would suggest moving Figure S1 to the main manuscript. Response: Based on the reviewer’s comment, we moved Figure S1 to the main manuscript as Figure 2. We wish to thank the Reviewer again for the valuable comments. RESPONSE TO REVIEWER #2: We wish to express our appreciation to the reviewer for his/her insightful comments, which have helped us to considerably improve our manuscript. Reviewer #2: I genuinely appreciate the effortful and highly systematic methodologies conducted in revealing novel susceptibility genes for intracranial aneurysms in the Japanese family. I do encourage the authors to conduct this well-elaborated methodology at a higher scale with increasing sample sizes and incorporating other non-Japanese candidates as possible in the near future. Response: We thank the reviewer for this important suggestion regarding our future research plan. Submitted filename: Response_to_Reviewers.docx Click here for additional data file. 1 Mar 2022 Whole-exome sequencing in a Japanese multiplex family identifies new susceptibility genes for intracranial aneurysms PONE-D-21-35037R1 Dear Dr. Hiroyuki, We’re pleased to inform you that your manuscript has been judged scientifically suitable for publication and will be formally accepted for publication once it meets all outstanding technical requirements. Within one week, you’ll receive an e-mail detailing the required amendments. When these have been addressed, you’ll receive a formal acceptance letter and your manuscript will be scheduled for publication. 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Kind regards, Avaniyapuram Kannan Murugan, M.Phil., Ph.D. Academic Editor PLOS ONE Reviewers' comments: Reviewer's Responses to Questions Comments to the Author 1. If the authors have adequately addressed your comments raised in a previous round of review and you feel that this manuscript is now acceptable for publication, you may indicate that here to bypass the “Comments to the Author” section, enter your conflict of interest statement in the “Confidential to Editor” section, and submit your "Accept" recommendation. Reviewer #2: All comments have been addressed ********** 2. Is the manuscript technically sound, and do the data support the conclusions? The manuscript must describe a technically sound piece of scientific research with data that supports the conclusions. Experiments must have been conducted rigorously, with appropriate controls, replication, and sample sizes. The conclusions must be drawn appropriately based on the data presented. Reviewer #2: Yes ********** 3. Has the statistical analysis been performed appropriately and rigorously? Reviewer #2: Yes ********** 4. Have the authors made all data underlying the findings in their manuscript fully available? The PLOS Data policy requires authors to make all data underlying the findings described in their manuscript fully available without restriction, with rare exception (please refer to the Data Availability Statement in the manuscript PDF file). The data should be provided as part of the manuscript or its supporting information, or deposited to a public repository. For example, in addition to summary statistics, the data points behind means, medians and variance measures should be available. If there are restrictions on publicly sharing data—e.g. participant privacy or use of data from a third party—those must be specified. Reviewer #2: Yes ********** 5. Is the manuscript presented in an intelligible fashion and written in standard English? PLOS ONE does not copyedit accepted manuscripts, so the language in submitted articles must be clear, correct, and unambiguous. Any typographical or grammatical errors should be corrected at revision, so please note any specific errors here. Reviewer #2: Yes ********** 6. Review Comments to the Author Please use the space provided to explain your answers to the questions above. You may also include additional comments for the author, including concerns about dual publication, research ethics, or publication ethics. (Please upload your review as an attachment if it exceeds 20,000 characters) Reviewer #2: As discussed before, I would encourage the authors to generalize the results to non-Japanese population via multicenter-based studies. ********** 7. PLOS authors have the option to publish the peer review history of their article (what does this mean?). If published, this will include your full peer review and any attached files. If you choose “no”, your identity will remain anonymous but your review may still be made public. Do you want your identity to be public for this peer review? For information about this choice, including consent withdrawal, please see our Privacy Policy. Reviewer #2: Yes: MM 8 Mar 2022 PONE-D-21-35037R1 Whole-exome sequencing in a Japanese multiplex family identifies new susceptibility genes for intracranial aneurysms Dear Dr. Akagawa: I'm pleased to inform you that your manuscript has been deemed suitable for publication in PLOS ONE. Congratulations! Your manuscript is now with our production department. If your institution or institutions have a press office, please let them know about your upcoming paper now to help maximize its impact. If they'll be preparing press materials, please inform our press team within the next 48 hours. Your manuscript will remain under strict press embargo until 2 pm Eastern Time on the date of publication. 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1.  Merlin--rapid analysis of dense genetic maps using sparse gene flow trees.

Authors:  Gonçalo R Abecasis; Stacey S Cherny; William O Cookson; Lon R Cardon
Journal:  Nat Genet       Date:  2001-12-03       Impact factor: 38.330

2.  The International HapMap Project.

Authors: 
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3.  Novel RASA1 mutations in Japanese pedigrees with capillary malformation-arteriovenous malformation.

Authors:  Yosuke Moteki; Hiroyuki Akagawa; Yasunari Niimi; Yoshikazu Okada; Takakazu Kawamata
Journal:  Brain Dev       Date:  2019-06-20       Impact factor: 1.961

4.  Improved splice site detection in Genie.

Authors:  M G Reese; F H Eeckman; D Kulp; D Haussler
Journal:  J Comput Biol       Date:  1997       Impact factor: 1.479

5.  Mutations in a NIMA-related kinase gene, Nek1, cause pleiotropic effects including a progressive polycystic kidney disease in mice.

Authors:  P Upadhya; E H Birkenmeier; C S Birkenmeier; J E Barker
Journal:  Proc Natl Acad Sci U S A       Date:  2000-01-04       Impact factor: 11.205

6.  A haplotype spanning two genes, ELN and LIMK1, decreases their transcripts and confers susceptibility to intracranial aneurysms.

Authors:  Hiroyuki Akagawa; Atsushi Tajima; Yoshiko Sakamoto; Boris Krischek; Taku Yoneyama; Hidetoshi Kasuya; Hideaki Onda; Tomokatsu Hori; Motoo Kubota; Toshio Machida; Naokatsu Saeki; Akira Hata; Kazunari Hashiguchi; Eizou Kimura; Chul-Jin Kim; Tae-Ki Yang; Jong-Young Lee; Kuchan Kimm; Ituro Inoue
Journal:  Hum Mol Genet       Date:  2006-04-12       Impact factor: 6.150

7.  Whole-genome sequencing of a single proband together with linkage analysis identifies a Mendelian disease gene.

Authors:  Nara L M Sobreira; Elizabeth T Cirulli; Dimitrios Avramopoulos; Elizabeth Wohler; Gretchen L Oswald; Eric L Stevens; Dongliang Ge; Kevin V Shianna; Jason P Smith; Jessica M Maia; Curtis E Gumbs; Jonathan Pevsner; George Thomas; David Valle; Julie E Hoover-Fong; David B Goldstein
Journal:  PLoS Genet       Date:  2010-06-17       Impact factor: 5.917

8.  PASTA 2.0: an improved server for protein aggregation prediction.

Authors:  Ian Walsh; Flavio Seno; Silvio C E Tosatto; Antonio Trovato
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Authors:  Koichiro Higasa; Noriko Miyake; Jun Yoshimura; Kohji Okamura; Tetsuya Niihori; Hirotomo Saitsu; Koichiro Doi; Masakazu Shimizu; Kazuhiko Nakabayashi; Yoko Aoki; Yoshinori Tsurusaki; Shinichi Morishita; Takahisa Kawaguchi; Osuke Migita; Keiko Nakayama; Mitsuko Nakashima; Jun Mitsui; Maiko Narahara; Keiko Hayashi; Ryo Funayama; Daisuke Yamaguchi; Hiroyuki Ishiura; Wen-Ya Ko; Kenichiro Hata; Takeshi Nagashima; Ryo Yamada; Yoichi Matsubara; Akihiro Umezawa; Shoji Tsuji; Naomichi Matsumoto; Fumihiko Matsuda
Journal:  J Hum Genet       Date:  2016-02-25       Impact factor: 3.172

Review 10.  Nephronectin as a Matrix Effector in Cancer.

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