Next Article in Journal
The Promising B−Type Response Regulator hst1 Gene Provides Multiple High Temperature and Drought Stress Tolerance in Rice
Previous Article in Journal
Enhancing Essential Oil Extraction from Lavandin Grosso Flowers via Plasma Treatment
Previous Article in Special Issue
Double Heterozygosity for Rare Deleterious Variants in the BRCA1 and BRCA2 Genes in a Hungarian Patient with Breast Cancer
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Genetic Landscape of Factor VII Deficiency: Insights from a Comprehensive Analysis of Pathogenic Variants and Their Impact on Coagulation Activity

1
Institute of Experimental Hematology and Transfusion Medicine, University of Bonn, Faculty of Medicine, University Clinic Bonn, 53127 Bonn, Germany
2
Center of Hemostasis, MVZ Labor Leipzig, 04289 Leipzig, Germany
3
MVZ Limbach Magdeburg, Lab Dr. Franke, Bönigk and Colleagues, Center of Coagulation Disorders and Vascular Diseases, 39104 Magdeburg, Germany
4
Pediatric Hematology and Oncology, Klinikum Braunschweig, 38118 Braunschweig, Germany
5
Department of Pediatrics and Adolescent Medicine, Division of Pediatric Hematology and Oncology, Medical Center–University of Freiburg, Faculty of Medicine, 79110 Freiburg, Germany
*
Author to whom correspondence should be addressed.
These authors contributed equally to this work.
Int. J. Mol. Sci. 2024, 25(4), 2384; https://doi.org/10.3390/ijms25042384
Submission received: 10 January 2024 / Revised: 2 February 2024 / Accepted: 7 February 2024 / Published: 17 February 2024
(This article belongs to the Special Issue Genetic, Genomic and Metabolomic Investigation of Rare Diseases)

Abstract

:
Congenital factor VII (FVII) deficiency is a rare genetic bleeding disorder characterized by deficient or reduced activity of coagulation FVII. It is caused by genetic variants in the F7 gene. We aimed to evaluate the rate of detection of pathogenic variants in the F7 gene in a large group of patients with FVII deficiency and investigate the correlations between the F7 genotype and FVII activity (FVII:C). Moreover, the influence of the common genetic variant rs6046: c.1238G>A; p.(Arg413Gln), designated as the M2 allele, on FVII:C was investigated. Genetic analysis of the F7 gene was performed on 704 index patients (IPs) using either direct Sanger- or next-generation sequencing. Genetic variants were detected in 390 IPs, yielding a variant detection rate (VDR) of 55%. Notably, the VDR exhibited a linear decline with increasing FVII:C levels. We identified 124 genetic variants, of which 48 were not previously reported. Overall, the frequency of the M2 allele was considerably higher in patients with mild deficiency (FVII:C > 20 IU/dl). Furthermore, IPs lacking an identified pathogenic variant exhibited a significantly higher prevalence of the M2 allele (69%) compared to IPs with a disease-causing variant (47%). These results strongly support the association of the M2 allele with decreased FVII:C levels. This study shows the utility of FVII:C as a predictive marker for identifying pathogenic variants in patients with FVII deficiency. The M2 allele contributes to the reduction of FVII:C levels, particularly in cases of mild deficiency.

1. Introduction

Factor VII (FVII) is a zymogen of a vitamin K-dependent serine protease that is synthesized in the liver and plays an important role in the coagulation network [1]. FVII deficiency is a rare bleeding disorder characterized by deficient or reduced FVII activity (FVII:C). An inherited FVII deficiency is the most common among the rare inherited bleeding disorders, with a prevalence of 1:300,000 to 1:500,000 [2]. Clinical presentation of FVII deficiency is highly heterogeneous, ranging from asymptomatic to severe life-threatening bleedings, often manifesting in early infancy [3].
Factor VII deficiency is caused by a heterogeneous spectrum of pathogenic genetic variants of the F7 gene, following an autosomal recessive pattern of inheritance [4]. The F7 gene is located at the terminus of chromosome 13 (13q34), 2.8 kilobases (kb) proximate to the F10 gene, and therefore large rearrangements often involve both genes, leading to combined FVII and factor X (FX) deficiency [5,6]. Pathogenic variants of the F7 gene lead to the reduction of FVII activity levels in plasma. In contrast to the majority of bleeding disorders, where disease severity often correlates with residual protein activity, FVII deficiency does not consistently follow this pattern. The variability and insensitivity of FVII:C assays may contribute to this discrepancy, alongside potential environmental and genetic factors, within or beyond the F7 gene.
The European Association for Haemophilia and Allied Disorders (EAHAD) database (https://f7-db.eahad.org/ accessed to on 1 July 2021) [7] reports over 271 different pathogenic genetic variants within the F7 gene. These variants include missense, nonsense, small insertion/deletion, splice site defects and large deletion, distributed throughout the entire F7 gene and affecting all protein domains, with the majority being missense variants.
Additionally, the F7 gene harbors several likely benign variants, which can modulate FVII levels [8,9,10], potentially simulating heterozygous FVII deficiency in a homozygous state [11]. The minor alleles of rs5742910 (−323 10 bp insertion) in the gene’s promoter region and rs6046 (c.1238G>A; p.(Arg413Gln) in exon 9) have consistently shown a strong correlation with lower levels of plasma FVII:C [11,12]. Given their capacity to lower FVII plasma levels, these variants may contribute to the severity of disease, suggesting clinical relevance in FVII-deficiency cases [13,14].
The present study aims to evaluate the variant detection rate (VDR) of pathogenic variants in the F7 gene in a large group of patients subjected to molecular testing based on reduced FVII activity levels. Additionally, we intend to investigate the correlation between the F7 genotype and FVII coagulant activity and explore the influence of a common genetic variant on residual FVII activity in our patient cohort compared to a control group.

2. Results

2.1. Association of Variant Detection Rate with FVII:C Levels

A cohort of 704 IPs with reduced FVII:C (<70 IU/dl) [15] underwent genetic analysis (Figure 1). We investigated the capacity to identify variants (pathogenic, likely pathogenic and VUS) in relation to FVII:C, termed the Variant Detection Rate (VDR). In 390 IPs, we identified a genetic variant, yielding a total VDR of 55%. The cohort was categorized into three groups: (i) severe FVII deficiency (FVII:C < 10 IU/dl), (ii) moderate FVII deficiency (FVII:C of 11–20 IU/dl) and (iii) mild FVII deficiency (FVII:C of 21–70 IU/dl).
The first group encompassed 31 IPs, where at least one pathogenic genetic variant was identified, leading to a VDR of 100% (Figure 2). These genetic variants were predominantly found in exon 9, existing in either homozygous or compound heterozygous states. The second group comprised 40 IPs with moderate FVII deficiency from which genetic variants were detected in 34 patients, leading to a VDR of 85% (Figure 2). The zygosity of the identified variants exhibited a diverse pattern, with nearly 50% in homozygous or compound heterozygous states, and the remainder displaying heterozygosity.
The last and the largest group involved 634 IPs. In approximately half (325 IPs), genetic variants were identified, defining a VDR of 51% (Figure 2). All identified variants were in heterozygous states. In the majority of patients, the genetic variant was found in exon 9, due to the high prevalence of a recurrent variant, c.1061C>T, p.Ala354Val (MAF: 5.6 × 10−4). Interestingly, when patients were further sub-divided into two subgroups based on FVII:C levels (21–50 IU/dl and 51–70 IU/dl), a decline in the VDR was observed, dropping from 60% to 26%, respectively. Furthermore, 87% of all detected genetic alterations were identified in the group of patients with FVII:C 21–50 IU/dl, while only 13% were identified in patients with FVII:C 51–70 IU/dl (Figure 1 and Figure 2).

2.2. Impact of the rs6046 Variant on FVII Activity

We explored the impact of the rs6046 variant (p.Arg413Gln, previously Arg353Gln), also known as the M1/M2 polymorphism, on FVII activity levels. The p.Arg413 and the minor allele p.Gln413 were assigned further as M1 and M2 alleles, respectively. We evaluated the frequency of M1 and M2 alleles in patient groups with identified variants excluding the patients with large deletions (381 IPs), those without genetic variants (314 IPs) and a control group (217 samples).
In the overall patient cohort, no significant difference in the frequency of the M2 allele was observed between those with and without genetic defects (49% vs. 51%) (Figure 3A). For patients with severe FVII deficiencies, the association of the M2 allele with FVII:C was challenging to establish due to the homozygous or compound heterozygous state of the identified genetic defect. Thus, the impact of the minor M2 allele was masked by the disease-causing variant.
Data from patients with moderate FVII deficiencies indicated that nearly all patients with identified disease-causing variants in homozygous or compound heterozygous states displayed an M2 allele in heterozygous combination with the M1 allele. Conversely, in 60% of IPs with only one disease-causing variant in the heterozygous state, the M2 variant was found in a homozygous state. In this group, patients without genetic defects were notably underrepresented (6 form 314), limiting conclusions about the M2 allele.
Interesting data were attained when comparing the frequency of the M2 variant in patients with mild FVII deficiencies with and without pathogenic variants to the control group. The frequency of the M2 allele was calculated as 46%, 69% and 10%, respectively (Figure 3B). The M2 allele was overrepresented in patients without genetic defects with mild FVII deficiencies compared to the entire cohort. Conversely, the M2 allele was notably underrepresented in the control group compared to the patient cohort (Figure 3A,B).
Furthermore, we explored the frequency of the M2 allele after sub-dividing the group of mildly deficient patients, as described earlier. When a genetic defect was identified, no difference was observed in the frequency of the M1 and M2 alleles when FVII:C was between 21 and 50 IU/dl. Conversely, the M1 allele was overrepresented (67%) in FVII activity levels of 51–70 IU/dl (Figure 3C). Despite the low frequency of the M1 allele in the group of patients without genetic defects, the relationship of the M1/M2 alleles in both subgroups remained similar (Figure 3D).
Finally, we compared the M2 allele frequency in the group of patients with and without genetic alterations with FVII:C 51–70 IU/dl. The data showed a twofold higher frequency of the M2 allele in patients without detected genetic variants. Patients were further sub-divided into two subgroups based on FVII:C levels (21–50 IU/dl and 51–70 IU/dl).

2.3. Profile of Identified Genetic Variants

Within the entire cohort, 124 distinct genetic variants with a minor allele frequency (MAF) of less than 1% (pathogenic, likely pathogenic and VUS) were identified in 390 IPs. Of these, 71 were reported in the EAHAD database as pathogenic, while 53 were assigned as VUSs. Subsequently, a portion of the latter were reclassified based on segregation family analyses and type of genetic defect (Table 1).
The profile of identified defects comprised nearly all types of genetic alterations, including missense, nonsense, splice-site and regulatory variants, small deletion/insertion and large deletions, except large duplications. The most frequent types of defects were missense variants, accounting for 71% of all alterations (Figure 4). The distribution of the remaining defects was as follows: small deletions/insertions (11%), splice-site variants (6%), nonsense variants (5%), regulatory variants (5%) and large deletions (2%). In terms of localization, the majority of the detected variants were located in exon 9, the largest segment of the F7 gene. However, genetic alterations were observed in all other exons.

2.4. Genetic Variants Detected in Multiple IPs

Forty-five variants were detected in more than one IP, encompassing 85% of our cohort (331 IPs). The identified genetic defects within this large group of patients included all types of genetic alterations (missense, nonsense, splice-site, small deletions/insertion and large deletions). The IPs with variants were further categorized into three sub-groups based on the incidence of the same genetic variant: genetic variants detected in (i) 2 to 5 IPs, (ii) 6 to 9 IPs and (iii) more than 10 IPs (Supplementary Table S1). Among these, four variants (p.Ala304Val, p.Gly157Ser, p.Val312Met and p.Ala354Val) in the last group were recurrent and found in a large number of patients. Notably, the variant p.Ala354Val was detected in 105 IPs, either alone or linked to a small deletion (p.Pro464Hisfs) in the same exon. The majority of the identified variants were reported in the databases as pathogenic and only five were classified as VUSs. Two variants were reclassified as likely pathogenic due to their type and family segregation analyses. Three alterations remained with an uncertain pathogenicity. A constellation of two missense variants resulting from three substitutions in exon 3 was inherited simultaneously in 10 IPs (p.Cys82Phe(;)Glu86Val). Moreover, this group included 10 IPs with large deletions, with the most prevalent being a complete deletion of the F7 gene (observed in 5 IPs). In six IPs, the deletion of the F7 gene was combined with complete or partial deletion of the F10 gene.

2.5. Genetic Variants Detected in a Single IP

The remaining 79 genetic variants were considered unique as they were exclusively detected in a single IP, either alone or in combination with another defect in the F7 gene. Thirty-one variants were classified as pathogenic based on database reports, while the remaining variants were defined as VUSs (Table 1). Further data evaluation led to the reclassification of several variants as likely pathogenic due to the type of genetic alteration (insertion/deletion, consensus splice-site affecting position +/−3, nonsense) or family segregation analyses.

3. Discussion

In this study, we evaluated the association of the molecular profile and FVII:C in a large cohort of 704 unrelated FVII deficiency patients. The genotype–phenotype relationship in FVII deficiency has already been analyzed in several smaller cohorts showing the high clinical, laboratory and genetic variability of the disease [9,16,17]. Our findings reinforce the inconsistent relationship between the F7 genotype and residual FVII coagulant activity, shedding light on this complex interplay within a large, well-characterized genetic cohort. We categorized our patient cohort into three groups based on FVII:C levels [17,18,19], as recommended by Peyvandi et al.: severe deficiency (FVII:C < 10 IU/dl), moderate deficiency (FVII:C 11–20 IU/dl) and mild deficiency (FVII:C > 20 IU/dl) [20,21,22].
The profile of pathogenic variants in our cohort is in concordance with the findings of other studies, with missense variants being the most prevalent (71%) [7,17]. The majority of pathogenic variants are located in exon 9. Whether this is due to the size of the exon (the largest) or a higher variant rate can be speculated [7]. Additionally, p.(Ala354Val), identified in 105 Ips, is also located in this exon.
It is important to indicate that in the majority of cases large deletions in the F7 gene were coupled with a partial or complete deletion of the F10 gene, often due to a larger deletion involving a bigger part of the long arm of chromosome 13 [5]. This raises the question of whether, in patients with large identified deletions in the F7 gene, it would be worth additionally testing for FX deficiency.
We identified 53 genetic variants initially classified as VUSs. After re-classification, 31 variants remained VUSs for which the pathogenicity prediction programs (MaxEntScan, NNSPLICE, SIFT and PolyPhen-2) showed inconsistence in pathogenicity estimation and put into question the reliability of these methods. Conformational data from in silico and in vitro analysis and evaluations of variant frequencies from larger population data sets or families are needed to confirm the role of these lesions on the function of the FVII protein.
We identified an underlying genetic defect in 390 IPs estimating a VDR of 55%, which linearly declines with the increase in the FVII:C and zygosity of the genetic defects. Compared to the VDR analyses of other deficiencies by Caspers et al., the estimated VDR for FVII deficiency was found close to that for protein S deficiency [23]. While in patients with FVII:C<10 IU/dl all genetic lesions were in homozygous or compound heterozygous states, with the increase in FVII:C, the proportion of the heterozygous presentation of defects expands and reaches nearly 100% in mild FVII deficiencies.
An interesting group comprised patients with FVII:C levels between 21 and 70 IU/dl, in whom no underlying genetic variant was detected (309 IPs). One possible explanation for this observation may be linked to recently described deep intronic variants in the F7 gene, which are not routinely tested, or other genetic modifiers outside the F7 gene [13]. Additionally, the accuracy of FVII:C assays, related to the sensitivity of the thromboplastin reagent of different sources [24] and the quality of the FVII-deficient plasma and calibrators used, may explain some inconsistencies in patients with relatively low FVII:C levels (11–20 IU/dl) where no genetic defect was identified, potentially leading to misdiagnosis of patients [15]. It is important to note that a limitation of this study is that FVII:C was not centrally tested, and we rely on the data reported by local labs. The availability of FVII:Ag levels and more standardized test methods such as the chromogenic FVII assay [15] could improve the diagnosis of FVII deficiency. Moreover, an acquired FVII deficiency, the concurrent presence of genetic defects in pro- and anti-coagulation factors, age and blood group [25] could not be ruled out.
The F7 gene is also known to harbor several common variants that exert a significant influence on FVII:C. The most reported one is the missense variant c.1238G>A p.(Arg413Gln) (M1/M2 allele), associated with a 25% reduction in FVII:C [11]. The diverse distribution of this variant in the analyzed cohorts in this study suggests that both a pathogenic variant and the M2 allele can serve as alternative modulators of FVII protein synthesis and function. Our data showed that only 10% of individuals in the control group carried the M2 allele, and in the majority of cases, it was in a heterozygous state with M1, aligning with the frequency of 0.1, similar to what has been reported for the general European population [12]. In patients with severe and moderate deficiencies and an underlying genetic defect affecting both alleles, the M2 allele was predominantly in a heterozygous state. It can be speculated that in these cases the M2 variant might not significantly contribute to the reduction in FVII:C, but rather intensify the impact of co-inherited variants. The frequencies of the FVII:C-lowering M2 alleles were considerably high in patients with mild deficiencies and even higher in those without a pathogenic variant (69%) compared to those with a disease-causing variant (46%). This strongly indicates the association of M2 alleles with decreased FVII:C levels. In cases where FVII:C levels exceed 50 IU/dl, the homozygous status of the M2 allele might not lead to a clinical condition but rather mimic mild FVII deficiency. In line with the findings reported by Bernardi et al. [11], these results highlight the significance of assessing this genetic variant in the context of better interpretation of mild FVII deficiency.
Based on our observations, genetic analysis plays an increasingly important role in predicting and improving the diagnostic process of inherited FVII deficiency, especially in cases in which genetic counselling is needed. Moreover, the co-inheritance of common variants affects FVII:C and further complicates the diagnosis; thus, data interpretation should include the M2 variant. Accurate genetic diagnosis, particularly in mild and asymptomatic forms, is of importance, especially in preoperative conditions where the patients could be at risk of prolonged bleeding.

4. Materials and Methods

4.1. Patient and Control Cohorts

Between 2013 and 2020, our laboratory received 904 blood samples from individuals diagnosed with FVII deficiency for genetic analysis. The diagnosis of the FVII deficiency was assigned based on FVII:C levels (<70 IU/dl) though a local laboratory. Sixty-three index patients (IPs) were excluded due to the following criteria: a diagnosis of associated liver disease, inconsistent laboratory data or incomplete documentation. Furthermore, 137 family members were excluded, resulting in a final cohort of 704 IPs. The mean age of patients was 25 years, ranging from 1 to 86 years. Males comprised 54% (378 IPs) and females 46% (326 IPs) of the cohort. The control cohort consisted of 217 individuals without FVII deficiency (FVII:C > 70 IU/dl) and no pathogenic, likely pathogenic or variants of uncertain significance (VUSs) in the F7 gene. The study was approved by the ethics committee of Bonn University of Medical Sciences (approval number 183/07).

4.2. Molecular Genetics Analyses

Genetic analyses were performed in the Department of Molecular Hemostaseology, University Hospital Bonn. Informed consent for molecular genetic analysis was obtained from each patient. Genomic DNA was isolated from peripheral EDTA blood using a Blood Core Kit (Qiagen, Hilden, Germany).
The F7 gene (NM_000131) analyses were carried out on an ABI Prism 3130 genetic analyzer for Sanger sequencing (Thermo Fisher Scientific, Langenselbold, Germany) and a Mini-Seq genome sequencer (Illumina, Santa Clara, CA, USA) was used for next-generation sequencing (NGS). Data were evaluated by SeqScape Version 2.7 (Thermo Fisher Scientific) and SeqPilot (JSI Medical Systems, Ettenheim, Germany) software version 5.2. For the description of sequence variations at the DNA and protein level, the guidelines of the Human Genome Variation Society (HGVS https://varnomen.hgvs.org/ accessed on 1 July 2021) [26,27] were applied and variants were filtered according to minor allele frequency (MAF < 1% in gnomAD).
Large deletions and duplications were analyzed with multiplex ligation-dependent probe amplification (MLPA) analysis or copy number variation (CNV) analysis. MLPA was performed according to the manufacturer’s recommendations, using SALSA MLPA Kits (MRC-Holland, Amsterdam, The Netherlands). Dosage analyses were performed by Coffalyser (V5.2) software (MRC-Holland). CNV evaluation was achieved by SeqPilot (JSI medical systems GmbH, Ettenheim, Germany).
The genetic variant classification and criteria used for assessment variant pathogenicity was performed according to ACMG (American College of Medical Genetics, Bethesda, MD, USA) and AMP (Association for Molecular Pathology, Rockville, MD, USA) guidelines for the interpretation of sequence variants [28]. The disease causality of all genetic alterations was compared to the Human Gene Mutation Database (HGMD) [29], the ClinVar database [30] and the EAHAD database [7]).

Supplementary Materials

The following supporting information can be downloaded at: https://www.mdpi.com/article/10.3390/ijms25042384/s1.

Author Contributions

Conceptualization, B.P. (Barbara Preisler), B.P. (Behnaz Pezeshkpoor), A.P. and J.O.; Data curation, B.P. (Barbara Preisler); Formal analysis, B.P. (Barbara Preisler), A.M. and A.P.; Funding acquisition, B.P. (Barbara Preisler) and J.O.; Investigation, S.O., H.R., V.I., U.S., H.B., W.E. and B.Z.; Methodology, B.P. (Barbara Preisler) and A.P.; Project administration, B.P. (Barbara Preisler); Resources, S.O., H.R., V.I., U.S., H.B., W.E. and B.Z.; Software, B.P. (Barbara Preisler) and A.P.; Visualization, B.P. (Behnaz Pezeshkpoor); Writing—original draft, B.P. (Barbara Preisler) and A.P.; Writing—review and editing, B.P. (Behnaz Pezeshkpoor) and J.O. All authors have read and agreed to the published version of the manuscript.

Funding

This research was funded by CSL Behring Germany (N-45-0246) to J.O.

Institutional Review Board Statement

The study was conducted in accordance with the Declaration of Helsinki and approved by the Institutional Review Board (or Ethics Committee) of Bonn University of Medical Sciences (approval number 183/07).

Informed Consent Statement

Informed consent was obtained from all subjects involved in the study.

Data Availability Statement

Data are contained within the article or Supplementary Materials.

Conflicts of Interest

J.O. has received research funding from Bayer, Biotest, CSL-Behring, Octapharma, Pfizer, SOBI and Takeda. Consultancy, speakers bureau, honoraria, scientific advisory Board and travel support from Bayer, Biogen Idec, Biomarin, Biotest, CSL-Behring, Chugai, Freeline, Grifols, LFB, Novo Nordisk, Octapharma, Pfizer, Roche, Sanofi, Sparks, Swedish Orphan Biovitrum and Takeda. All other authors declare no conflicts of interest. The funders had no role in the design of the study; in the collection, analyses or interpretation of data; in the writing of the manuscript; or in the decision to publish the results.

References

  1. Mariani, G.; Bernardi, F. Factor VII Deficiency. Semin. Thromb. Hemost. 2009, 35, 400–406. [Google Scholar] [CrossRef]
  2. Perry, D.J. Factor VII Deficiency. Brit J. Haematol. 2002, 118, 689–700. [Google Scholar] [CrossRef] [PubMed]
  3. Di Minno, M.N.D.; Dolce, A.; Mariani, G. Bleeding symptoms at disease presentation and prediction of ensuing bleeding in inherited FVII deficiency. Thromb. Haemost. 2013, 109, 1051–1059. [Google Scholar] [CrossRef] [PubMed]
  4. Mariani, G.; Herrmann, F.H.; Dolce, A.; Batorova, A.; Etro, D.; Peyvandi, F.; Wulff, K.; Schved, J.F.; Auerswald, G.; Ingerslev, J.; et al. Clinical phenotypes and factor VII genotype in congenital factor VII deficiency. Thromb. Haemost. 2005, 93, 481–487. [Google Scholar] [CrossRef]
  5. Pavlova, A.; Preisler, B.; Driesen, J.; de Moerloose, P.; Zieger, B.; Hutker, S.; Dengler, K.; Harbrecht, U.; Oldenburg, J. Congenital combined deficiency of coagulation factors VII and X—Different genetic mechanisms. Haemophilia 2015, 21, 386–391. [Google Scholar] [CrossRef] [PubMed]
  6. Preisler, B.; Pezeshkpoor, B.; Banchev, A.; Fischer, R.; Zieger, B.; Scholz, U.; Rühl, H.; Kemkes-Matthes, B.; Schmitt, U.; Redlich, A.; et al. Familial Multiple Coagulation Factor Deficiencies (FMCFDs) in a Large Cohort of Patients-A Single-Center Experience in Genetic Diagnosis. J. Clin. Med. 2021, 10, 347. [Google Scholar] [CrossRef] [PubMed]
  7. Giansily-Blaizot, M.; Rallapalli, P.M.; Perkins, S.J.; Kemball-Cook, G.; Hampshire, D.J.; Gomez, K.; Ludlam, C.A.; McVey, J.H. The EAHAD blood coagulation factor VII variant database. Hum. Mutat. 2020, 41, 1209–1219. [Google Scholar] [CrossRef]
  8. Herrmann, F.H.; Wulff, K.; Auerswald, G.; Schulman, S.; Astermark, J.; Batorova, A.; Kreuz, W.; Pollmann, H.; Ruiz-Saez, A.; de Bosch, N.; et al. Factor VII deficiency: Clinical manifestation of 717 subjects from Europe and Latin America with mutations in the factor 7 gene. Haemophilia 2009, 15, 267–280. [Google Scholar] [CrossRef] [PubMed]
  9. Millar, D.S.; Kemball-Cook, G.; McVey, J.H.; Tuddenham, E.G.; Mumford, A.D.; Attock, G.B.; Reverter, J.C.; Lanir, N.; Parapia, L.A.; Reynaud, J.; et al. Molecular analysis of the genotype-phenotype relationship in factor VII deficiency. Hum. Genet. 2000, 107, 327–342. [Google Scholar] [CrossRef]
  10. Green, F.; Kelleher, C.; Wilkes, H.; Temple, A.; Meade, T.; Humphries, S. A common genetic polymorphism associated with lower coagulation factor VII levels in healthy individuals. Arterioscler. Thromb. 1991, 11, 540–546. [Google Scholar] [CrossRef]
  11. Bernardi, F.; Marchetti, G.; Pinotti, M.; Arcieri, P.; Baroncini, C.; Papacchini, M.; Zepponi, E.; Ursicino, N.; Chiarotti, F.; Mariani, G. Factor VII Gene Polymorphisms Contribute About One Third of the Factor VII Level Variation in Plasma. Arterioscler. Thromb. Vasc. Biol. 1996, 16, 72–76. [Google Scholar] [CrossRef]
  12. Hunault, M.; Arbini, A.A.; Lopaciuk, S.; Carew, J.A.; Bauer, K.A. The Arg353Gln polymorphism reduces the level of coagulation factor VII. In vivo and in vitro studies. Arterioscler. Thromb. Vasc. Biol. 1997, 17, 2825–2829. [Google Scholar] [CrossRef]
  13. Ferraresi, P.; Balestra, D.; Guittard, C.; Buthiau, D.; Pan-Petesh, B.; Maestri, I.; Farah, R.; Pinotti, M.; Giansily-Blaizot, M. Next-generation sequencing and recombinant expression characterized aberrant splicing mechanisms and provided correction strategies in factor VII deficiency. Haematologica 2020, 105, 829–837. [Google Scholar] [CrossRef]
  14. McVey, J.H.; Boswell, E.; Mumford, A.D.; Kemball-Cook, G.; Tuddenham, E.G. Factor VII deficiency and the FVII mutation database. Hum. Mutat. 2001, 17, 3–17. [Google Scholar] [CrossRef] [PubMed]
  15. Sevenet, P.-O.; Kaczor, D.A.; Depasse, F. Factor VII Deficiency: From Basics to Clinical Laboratory Diagnosis and Patient Management. Clin. Appl. Thromb. Hemost. 2017, 23, 703–710. [Google Scholar] [CrossRef]
  16. Fromovich-Amit, Y.; Zivelin, A.; Rosenberg, N.; Tamary, H.; Landau, M.; Seligsohn, U. Characterization of mutations causing factor VII deficiency in 61 unrelated Israeli patients. J. Thromb. Haemost. 2004, 2, 1774–1781. [Google Scholar] [CrossRef] [PubMed]
  17. Quintavalle, G.; Riccardi, F.; Rivolta, G.F.; Martorana, D.; Di Perna, C.; Percesepe, A.; Tagliaferri, A. F7 gene variants modulate protein levels in a large cohort of patients with factor VII deficiency. Results from a genotype-phenotype study. Thromb. Haemost. 2017, 117, 1455–1464. [Google Scholar] [CrossRef] [PubMed]
  18. Rabelo, F.Y.; Jardim, L.L.; Landau, M.B.; Gadelha, T.; Corrêa, M.F.B.; Pereira, I.F.M.; Rezende, S.M. The molecular basis of low activity levels of coagulation factor VII: A Brazilian cohort. Haemophilia 2015, 21, 670–680. [Google Scholar] [CrossRef] [PubMed]
  19. Elmahmoudi, H.; Ben-lakhal, F.; Elborji, W.; Jlizi, A.; Zahra, K.; Sassi, R.; Zorgan, M.; Meddeb, B.; Elgaaied Ben Ammar, A.; Gouider, E. Identification of genetic defects underlying FVII deficiency in 10 patients belonging to eight unrelated families of the North provinces from Tunisia. Diagn. Pathol. 2012, 7, 92. [Google Scholar] [CrossRef]
  20. Peyvandi, F.; Duga, S.; Akhavan, S.; Mannucci, P.M. Rare coagulation deficiencies. Haemophilia 2002, 8, 308–321. [Google Scholar] [CrossRef]
  21. Peyvandi, F.; Mannucci, P.M.; Asti, D.; Abdoullahi, M.; Di Rocco, N.; Sharifian, R. Clinical manifestations in 28 Italian and Iranian patients with severe factor VII deficiency. Haemophilia 1997, 3, 242–246. [Google Scholar] [CrossRef]
  22. Peyvandi, F.; Menegatti, M.; Palla, R. Rare Bleeding Disorders: Worldwide Efforts for Classification, Diagnosis, and Management. Semin. Thromb. Hemost. 2013, 39, 579–584. [Google Scholar] [CrossRef]
  23. Caspers, M.; Pavlova, A.; Driesen, J.; Harbrecht, U.; Klamroth, R.; Kadar, J.; Fischer, R.; Kemkes-Matthes, B.; Oldenburg, J. Deficiencies of antithrombin, protein C and protein S—Practical experience in genetic analysis of a large patient cohort. Thromb. Haemost. 2012, 108, 247–257. [Google Scholar] [CrossRef]
  24. Bolton-Maggs, P.H.B.; Hay, C.R.M.; Shanks, D.; Mitchell, M.J.; McVey, J.H. The importance of tissue factor source in the management of Factor VII deficiency. Thromb. Haemost. 2007, 97, 151–152. [Google Scholar] [CrossRef] [PubMed]
  25. Halimeh, S.; Koch, L.; Kenet, G.; Kuta, P.; Rahmfeld, T.; Stoll, M.; Nowak-Göttl, U. Genotype-Phenotype Relationship among 785 Unrelated White Women with Inherited Congenital Factor VII Deficiency: A Three-Center Database Study. J. Clin. Med. 2023, 13, 49. [Google Scholar] [CrossRef] [PubMed]
  26. Den Dunnen, J.T.; Dalgleish, R.; Maglott, D.R.; Hart, R.K.; Greenblatt, M.S.; McGowan-Jordan, J.; Roux, A.-F.; Smith, T.; Antonarakis, S.E.; Taschner, P.E.M. HGVS Recommendations for the Description of Sequence Variants: 2016 Update. Hum. Mutat. 2016, 37, 564–569. [Google Scholar] [CrossRef] [PubMed]
  27. Goodeve, A.C.; Reitsma, P.H.; McVey, J.H. Nomenclature of genetic variants in hemostasis. J. Thromb. Haemost. 2011, 9, 852–855. [Google Scholar] [CrossRef] [PubMed]
  28. Richards, S.; Aziz, N.; Bale, S.; Bick, D.; Das, S.; Gastier-Foster, J.; Grody, W.W.; Hegde, M.; Lyon, E.; Spector, E.; et al. Standards and guidelines for the interpretation of sequence variants: A joint consensus recommendation of the American College of Medical Genetics and Genomics and the Association for Molecular Pathology. Genet. Med. 2015, 17, 405–424. [Google Scholar] [CrossRef] [PubMed]
  29. Stenson, P.D.; Ball, E.V.; Mort, M.; Phillips, A.D.; Shiel, J.A.; Thomas, N.S.T.; Abeysinghe, S.; Krawczak, M.; Cooper, D.N. Human Gene Mutation Database (HGMD): 2003 update. Hum. Mutat. 2003, 21, 577–581. [Google Scholar] [CrossRef] [PubMed]
  30. Landrum, M.J.; Lee, J.M.; Benson, M.; Brown, G.R.; Chao, C.; Chitipiralla, S.; Gu, B.; Hart, J.; Hoffman, D.; Jang, W.; et al. ClinVar: Improving access to variant interpretations and supporting evidence. Nucleic Acids Res. 2018, 46, D1062–D1067. [Google Scholar] [CrossRef] [PubMed]
Figure 1. Patient cohort with FVII deficiency. Overall prevalence of patients with an identified genetic defect (positive IPs, blue colored boxes) and patients with no identified genetic defect in the F7 gene coding sequence and exon–intron boundaries (negative IPs, purple colored boxes). IPs—index patients. Factor VII activity is given in IU/dl.
Figure 1. Patient cohort with FVII deficiency. Overall prevalence of patients with an identified genetic defect (positive IPs, blue colored boxes) and patients with no identified genetic defect in the F7 gene coding sequence and exon–intron boundaries (negative IPs, purple colored boxes). IPs—index patients. Factor VII activity is given in IU/dl.
Ijms 25 02384 g001
Figure 2. Variant detection rate (VDR) in patients with FVII deficiency.
Figure 2. Variant detection rate (VDR) in patients with FVII deficiency.
Ijms 25 02384 g002
Figure 3. Frequency of the M2 allele: (A) M2 distribution in whole cohort and controls. Patients were divided based on identification of genetic lesion (positive) or not (negative); (B) M2 distribution in mild FVII-deficient IPs—positive—with detected genetic variant, negative—without detected genetic variant; (C) allele frequency of M1 and M2 alleles in mild FVII-deficient patients with detected genetic variant—group 1 FVII:C 21–50 IU/dl, group 2 FVII:C 51–70 IU/dl; (D) allele frequency of M1 and M2 alleles in mild FVII-deficient patients without detected genetic variant—group 1 FVII:C 21–50 IU/dl, group 2 FVII:C 51–70 IU/dl.
Figure 3. Frequency of the M2 allele: (A) M2 distribution in whole cohort and controls. Patients were divided based on identification of genetic lesion (positive) or not (negative); (B) M2 distribution in mild FVII-deficient IPs—positive—with detected genetic variant, negative—without detected genetic variant; (C) allele frequency of M1 and M2 alleles in mild FVII-deficient patients with detected genetic variant—group 1 FVII:C 21–50 IU/dl, group 2 FVII:C 51–70 IU/dl; (D) allele frequency of M1 and M2 alleles in mild FVII-deficient patients without detected genetic variant—group 1 FVII:C 21–50 IU/dl, group 2 FVII:C 51–70 IU/dl.
Ijms 25 02384 g003
Figure 4. Molecular genetic profile in 704 patients with FVII deficiency.
Figure 4. Molecular genetic profile in 704 patients with FVII deficiency.
Ijms 25 02384 g004
Table 1. Genetic variants that were identified in the cohort of 704 IPs that were not reported in the FVII deficiency databases.
Table 1. Genetic variants that were identified in the cohort of 704 IPs that were not reported in the FVII deficiency databases.
Nr.Exon/IntronHGVS
(Nucleotide Position)
HGVS
(Protein Position)
Type of VariantClassificationFVII:C (IU/dl)
1Promotorc.-4C>A -regulatoryVUS31
21 c.44T>Cp.Leu15Pro ++missenselikely pathogenic37
31c.48_64dup17insp.Gly17Alafsdup/inslikely pathogenic38
41 c.65G>A p.Gly22AspmissenseVUS43
53 c.143A>Tp.Gln48Leu +missenselikely pathogenic20
63 c.218T>C #p.Leu73PromissenseVUS1
73c.220dupGp.Glu74Glyfsduplicationlikely pathogenic 35
83c.281_291del10bpp.Ala94Glyfsdeletionlikely pathogenic40
94c.316+1G>A-splice-sitelikely pathogenic43
105c.343T>G p.Cys115Gly +missenselikely pathogenic30
115 c.408C>G p.Phe136LeumissenseVUS33
125 c.412G>C p.Gly138ArgmissenseVUS35
136c.430C>Gp.His144AspmissenseVUS43
146c.512C>T § p.Ser171Phe ++missenselikely pathogenic1
156 c.514T>C p.Cys172ArgmissenseVUS32
166c.526G>A p.Glu176LysmissenseVUS48
176c.538_539delCTp.Leu180Alafsdeletionlikely pathogenic54
186c.557C>T p.Ser186PhemissenseVUS29
196c.565C>T p.Pro189Ser ++++missenselikely pathogenic50
206 c.548A>T p.Asp183ValmissenseVUS28
217c.587G>C p.Gly196AlamissenseVUS33
227c.665G>A p.Gly222GlumissenseVUS30
237c.667G>Tp.Glu223Ternonsenselikely pathogenic57
247c.676T>G p.Trp226GlymissenseVUS36
257c.681+1G>T-splice-sitelikely pathogenic52
268c.691_693delTTG #p.Leu231deldeletionlikely pathogenic8
278c.718G>Tp.Gly240Trp +missenselikely pathogenic30
288 c.728T>C p.Ile243ThrmissenseVUS29
298 c.739T>C p.Trp247ArgmissenseVUS26
308c.806-3C>G -splice-sitelikely pathogenic54
319c.808G>Ap.Glu270LysmissenseVUS48
329c.823G>A p.Glu275LysmissenseVUS41
339c.843G>T #p.Gln281His missenseVUS1
349c.903C>Gp.His301Gln +++missenselikely pathogenic59
359 c.904G>A p.Asp302AsnmissenseVUS30
369c.911C>Tp.Ala304ValmissenseVUS30
379c.930G>Tp.Gln310His ++missenselikely pathogenic43
389c.944C>Tp.Thr315Ile +++missenselikely pathogenic19
399c.955G>Ap.Val319MetmissenseVUS50
409c.977G>Ap.Arg326GlnmissenseVUS37
419 c.1160T>Cp.Met387hrmissenseVUS42
429 c.1168G>Ap.Ala390ThrmissenseVUS43
439 c.1078C>T p.Leu360PhemissenseVUS64
449c.1089_1090delCCp. Arg364Alafsdeletionlikely pathogenic19
459c.1235A>Gp.Tyr412Cys ++missenselikely pathogenic43
469c.1250A>G p.Tyr417CysmissenseVUS45
479 c.1274G>Cp.Gly425AlamissenseVUS40
489 c.1262T>C p.Ile421ThrmissenseVUS45
499 c.1306G>Ap.Val436MetmissenseVUS47
509 c.1313C>A # p.Thr438AsnmissenseVUS8
519 c.1316G>C # p.Arg439Thr missenseVUS2
529c.1329C>Gp.Tyr443Ternonsenselikely pathogenic14
539 c.1354C>T p.Arg452CysmissenseVUS37
VUS: variant of uncertain significance; HGVS: Human Genome Variation Society. #: variants identified in a compound heterozygous state. §: variants identified in a homozygous state. FVII:C: FVII activity. Variants reclassified as likely pathogenic due to the type are in bold; +: variants reclassified as likely pathogenic due to family segregation analysis. Each + represents one family member carrying the same variant and reduced FVII:C levels. +: 1 family member, ++ two family members, +++: three family members, ++++: four family members.
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content.

Share and Cite

MDPI and ACS Style

Preisler, B.; Pezeshkpoor, B.; Merzenich, A.; Ohlenforst, S.; Rühl, H.; Ivaškevičius, V.; Scholz, U.; Bönigk, H.; Eberl, W.; Zieger, B.; et al. Genetic Landscape of Factor VII Deficiency: Insights from a Comprehensive Analysis of Pathogenic Variants and Their Impact on Coagulation Activity. Int. J. Mol. Sci. 2024, 25, 2384. https://doi.org/10.3390/ijms25042384

AMA Style

Preisler B, Pezeshkpoor B, Merzenich A, Ohlenforst S, Rühl H, Ivaškevičius V, Scholz U, Bönigk H, Eberl W, Zieger B, et al. Genetic Landscape of Factor VII Deficiency: Insights from a Comprehensive Analysis of Pathogenic Variants and Their Impact on Coagulation Activity. International Journal of Molecular Sciences. 2024; 25(4):2384. https://doi.org/10.3390/ijms25042384

Chicago/Turabian Style

Preisler, Barbara, Behnaz Pezeshkpoor, Anja Merzenich, Sandra Ohlenforst, Heiko Rühl, Vytautas Ivaškevičius, Ute Scholz, Hagen Bönigk, Wolfgang Eberl, Barbara Zieger, and et al. 2024. "Genetic Landscape of Factor VII Deficiency: Insights from a Comprehensive Analysis of Pathogenic Variants and Their Impact on Coagulation Activity" International Journal of Molecular Sciences 25, no. 4: 2384. https://doi.org/10.3390/ijms25042384

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop