Identification of mutations in SLC4A1, GP1BA and HFE in a family with venous thrombosis of unknown cause by next‑generation sequencing

  • Authors:
    • Wei‑An Chang
    • Chau‑Chyun Sheu
    • Kuan‑Ting Liu
    • Jheng‑Heng Shen
    • Meng‑Chi Yen
    • Po‑Lin Kuo
  • View Affiliations

  • Published online on: September 4, 2018     https://doi.org/10.3892/etm.2018.6693
  • Pages: 4172-4180
Metrics: Total Views: 0 (Spandidos Publications: | PMC Statistics: )
Total PDF Downloads: 0 (Spandidos Publications: | PMC Statistics: )


Abstract

Various risk factors, including high age, female gender, obesity and certain genetic defects have been linked to venous thrombosis. A Taiwanese family with venous thrombosis of unknown cause were enrolled in the present study. In this pedigree, two women without any specific underlying diseases suffered from venous thrombotic events at the same age. No specific risk factors or coagulation abnormalities were identified. The main proband's younger brother also had intestinal arterial thrombosis at 54 years of age. Therefore, it was hypothesized that familial genetic defects may be the cause of venous thrombosis within this family. Blood samples collected from certain members of this pedigree were subjected to whole‑exome sequencing, and three genetic variants were identified, including a missense variant of solute carrier family 4 member 1 (SLC4A1) (c.388G>A), a deletion on glycoprotein Ib platelet α subunit (GP1BA) (c.1322_1344del23) and an insertion in the splice site of homeostatic iron regulator (HFE). To date, none of these three genetic variants have been reported to be associated with venous thrombosis, to the best of our knowledge. The present study suggests that these genetic variants of SLC4A1, GP1BA and HFE may be associated with venous thrombosis in an Asian pedigree.

Introduction

Venous thrombosis is a common vascular event where a blood clot forms within a vein. Age, surgery, obesity, trauma, pregnancy and hormone replacement therapy are known risk factors of venous thrombosis. Deficiencies of anti-thrombin, protein C and protein S also pre-dispose to thrombosis. In addition, genetic defects in fibrinogen, prothrombin, factor V Leiden, coagulation factor XIII and coagulation factor XI are considered as inherited risk factors (13). With the advance of sequencing technology, rare and low-frequency genetic variants may now be easily detected. Various novel genetic polymorphisms associated with venous thrombosis, including deep venous thrombosis (DVT), have been identified (46). Understanding of these rare inherited risk factors may facilitate risk stratification and prophylaxis in clinical practice. Venous thrombosis usually occurs in thrombosis of veins in the leg and pulmonary embolism (1); however, venous thrombosis may also occur in mesenteric veins and cause mesenteric venous thrombosis. Primary mesenteric venous thrombosis is usually spontaneous or idiopathic (7), accounting for 10–15% of all mesenteric ischemic events. Mesenteric ischemia should be diagnosed and treated promptly, as the mortality rate may reach 70% if the time to diagnosis is >24 h (8).

The present study presents the case of a 64-year-old, previously healthy Taiwanese woman admitted to Kaohsiung Medical University Hospital (KMUH; Kaohsiung, Taiwan) with mesenteric ischemia. The older sister of the proband also suffered from DVT of the femoral vein at the same age. The younger brother of the proband had intestinal arterial thrombosis when he was 54 years of age. None of the patients had any specific underlying diseases or risk factors for venous thrombosis; therefore, it was hypothesized that familial genetic defects may pre-dispose this pedigree to venous thrombosis. Peripheral blood samples were collected from the proband, the proband's daughter and the proband's older sister for next-generation sequencing (NGS). Combined with bioinformatics, the present study aimed to identify genetic factors associated with venous thrombosis in this pedigree.

Materials and methods

Study subjects

A female patient (age, 64 years) was admitted to KMUH (Kaohsiung, Taiwan) with mesenteric venous thrombosis of unknown cause. The proband's older sister (thrombosis occurrence at 64 years; current age, 66 years) and younger brother (thrombosis occurrence at 54 years; current age, 61 years) had also experienced venous thrombotic events of unknown cause. The surveys for risk factors of their thrombosis were all negative. In order to investigate the possible cause of venous thrombosis in this pedigree, peripheral blood samples of the proband, the proband's older sister and the proband's daughter, a healthy 32-year-old woman without any history of thrombotic events, were collected for next-generation sequencing analysis. The present study was approved by the Institutional Review Board of KMUH (Kaohsiung, Taiwan). All subjects provided written informed consent.

Library preparation and sequencing

For the generation of standard exome capture libraries, the Agilent SureSelect XT Reagent kit for the Illumina Hiseq paired-end sequencing library (cat. no. G9611A; Agilent Technologies, Inc., Santa Clara, CA, USA) was used according to the manufacturer's protocol. In all cases, the SureSelect XT Human All Exon Version 6 (60 Mb) probe set (Agilent Technologies, Inc.) was used. A total of 1 µg genomic DNA (gDNA) was used to construct a library with the Agilent SureSelect XT Reagent kit. The amplification adapter-ligated sample was purified using Agencourt AMPure XP beads (Beckman Coulter, Brea, CA, USA) and analyzed on a TapeStation 4200 D1000 screen tape (Agilent Technologies, Inc.). The gDNA library (750 ng) was prepared for hybridization with the capture beads, and the sample was hybridized for 24 h at 65°C, captured with the Dynabeads MyOne Streptavidin T1 (Thermo Fisher Scientific, Inc., Waltham, MA, USA) and purified using Agencourt AMPure XP beads. The Agilent protocol was used for addition of index tags (Agilent SureSelect XT Reagent kit; Illumina, Inc., San Diego, CA, USA; cat. no. G9611B) by post-hybridization amplification. Finally, all samples were sequenced on an Illumina Sequencer (Illumina, Inc., San Diego, CA, USA) using the 150PE protocol as specified by Illumina, Inc.

Processing of sequencing data and identification of mutations

FASTQ file quality control was performed using Trimmomatic (9). Reads from the samples were mapped to the reference sequence Human Genome version 19 (hg19) by using the Burrows-Wheeler Aligner (10). For further variant analyses, variants in coding or non-coding regions were identified, and annotation were created with a Genome Analysis Toolkit (GATK) according to the GATK best practices pipeline (11) and Variant Effect Predictor (12). These mutations were further filtered by the global minor allele frequency and ClinVar (https://www.ncbi.nlm.nih.gov/clinvar/) databases (13). The mutations identified in the ClinVar database were considered to be known variants and those not found in the ClinVar database were identified as unknown variants. Both known and unknown variants were further filtered out by using the criterion >1% Asian minor allele frequency according to TaiwanBioBank (http://taiwanview.twbiobank.org.tw) (14). The filtered variants were identified as known or unknown rare variants.

Functional annotation analysis

Functional annotation was performed using the Database for Annotation, Visualization and Integrated Discovery (DAVID 6.7) (https://david.ncifcrf.gov) (15,16). After annotating the gene list, the potential genes were obtained through analysis of the genetic association database disease class.

Protein features and domains

The information regarding features and functional domains of protein sequences was adapted from UniProt [http://www.uniprot.org, P07359 (GP1BA_HUMAN)]. The reference sequence of GP1BA from Homo sapiens (NCBI Reference Sequence: NP_000164), Mus musculus (NCBI Reference Sequence: NP_034456) and Rattus norvegicus (NCBI Reference Sequence: NP_001103124) was obtained from the NCBI protein database (https://www.ncbi.nlm.nih.gov/protein/).

Results and Discussion

Case presentation

The case of the present study was a 64-year-old woman without any specific underlying diseases. She suffered from progressive abdominal pain for 2 weeks and was brought to the emergency department of KMUH, where abdominal computed tomography revealed venous thrombosis involving the superior mesenteric vein and splenic vein. Due to progressive abdominal pain with a significant peritoneal sign, she underwent small bowel segmentectomy and jejunostomy. After the operation, she received anti-coagulant and anti-platelet therapies. The surveys for the cause of her venous thrombosis, including examinations for cancer, auto-immune diseases and coagulation diseases, were all negative (Table I). Only elevated plasma fibrinogen and D-dimer levels were identified; however, these are common results during thrombotic events. The proband's older sister had also suffered from DVT of the left femoral vein at the age of 64 years. She did not have any specific underlying diseases or thrombosis risk factors, either. Furthermore, the proband's younger brother had intestinal arterial thrombosis at 54 years of age. Similarly, no specific underlying diseases or risk factors were identified in this patient. These rare circumstances implied that this pedigree may have familial genetic factors pre-disposing them to thrombosis.

Table I.

Biochemical parameters of the subjects of the present study.

Table I.

Biochemical parameters of the subjects of the present study.

ParametersNormal rangeProbandProband's sisterProband's daughter
Age (years) 646634
Gender FemaleFemaleFemale
BMI (kg/m2) 24.422.617.5
Rheumatoid factor (mg/dl)<15.9<10.0<10.0<10.0
Lactate (mmol/l)0.5–2.21.32<1.2<1.2
Anti-thrombin III (%)75–125807193
Protein C (%)70–1409285106
Protein S (%)58.6–126629092
Antinuclear antibody<1:40<1:40<1:40<1:40
D-Dimer (mg/l)<0.555.58a3.37a0.18
Fibrinogen (mg/dl)200–400387.1472.0a198.0
PT (INR)0.85–1.151.071.021.05
GLU (AC) (mg/dl)65–109150a114a96
Albumin (g/dl)3.5–54.114.214.66
LDH (IU/l)98–192229a181112
BUN (mg/dl)8–208.69.99.6
Creatinine (mg/dl)0.44–1.030.520.760.59
Na (mmol/l)136–144140136141
K (mmol/l)3.5–5.13.43.73.8
CT (mg/dl)140–20098164174
TG (mg/dl)35–1604189136
APL IgG (GPL)<157.4611.214.31
APL IgM (MPL)<15<1.5 >100a2.17
aCL-IgG (GPL-U/ml)<7101.10.6
aCL-IgM (MPL-U/ml)<104.3 >472a2.5
WBC (×103/µl)4.14–10.5211.41a6.985.83
RBC (×106/µl)11.1–15.13.714.064.70
Hgb (g/dl)11.1–15.110.812.613.6
Hct (%)34.7–45.133.1a37.342.0
MCV (fl)83.4–98.589.291.989.4
PLT (×103/µl)160–370201213269

a Indicates that the value is not within the normal range. PT (INR), prothrombin time (international normalize ratio); Glu (AC), glucose (ante cibum); LDH, lactic dehydrogenase; BUN, blood urea nitrogen; CT, total cholesterol; TG, triglyceride; APL IgG (GPL), anti-phospholipid IgG, negative; APL IgM (MPL), anti-phospholipid IgM, negative; aCL-IgG, anti-cardiolipin IgG, negative; aCL-IgM, anti-cardiolipin IgM, negative; WBC, white blood cell; RBC, red blood cell; Hgb, hemoglobin; Hct, hematocrit; MCV, mean corpuscular volume; PLT, platelets; Ig, immunoglobulin; BMI, body mass index.

The pedigree of the pedigree is presented in Fig. 1. The proband (II-3) had mesenteric vein thrombosis at 64 years of age. The proband's older sister (II-1) had femoral vein thrombosis at 64 years of age also. The proband's mother (I-2) had had a stroke. The proband's younger brother (II-4) had intestinal arterial thrombosis. The laboratory data of cases II-3 and II-1, as well as and the proband's daughter (III-3), were collected and compared. Most of the data were within normal ranges, except for plasma fibrinogen (Table I). The fibrinogen levels in case II-1 were slightly elevated, even though there was no active thrombotic event when the blood sample was collected. Fibrinogen is an important factor affecting platelet function (17). Furthermore, inherited fibrinogen disorders are a risk factor of thrombotic complications (18). To investigate whether any genetic variants on fibrinogen and other unknown genes were associated with vein thrombosis within this pedigree, cases II-3, II-1 and III-3 were enrolled in the present study. Their peripheral blood samples were collected for whole-exome sequencing.

Results of whole-exome sequencing analysis: Known rare variants

After whole-exome sequencing, the results were analyzed according to the flowchart presented in Fig. 2 and the procedures specified above. Common variants were excluded from analysis. The rare variants were further verified by ClinVar annotation based on hg19. Subsequently, these genes were filtered out according to the criterion >1% Asian minor allele frequency. Two genes with known rare variants shared between the proband and the proband's sister are presented in Table II. The first identical mutation in the proband and the proband's sister was on solute carrier family 4 member 1 (SLC4A1; GenBank ID NM_000342.3) which is a band 3 cytoplasmic domain and phosphotransferase/anion transporter (19). A heretogenous missense variant c.388G>A (p.Gly130Arg, rs121912749) in exon 6 of SLC4A1 was observed. According to the ClinVar database, this mutation of SLC4A1 is pathogenic in spherocytosis type 4. Hereditary spherocytosis causes vein thrombosis in rare cases (20,21). Although spherocytosis has not much in common with venous thrombosis, the Gly130Arg mutation may still lead to a decrease in anion exchange across the erythrocyte membrane, thereby affecting the shape of the erythrocytes. Such a shape change is expected to affect thrombosis.

Table II.

Gene mutations shared between the proband and the proband's sister in ClinVar.

Table II.

Gene mutations shared between the proband and the proband's sister in ClinVar.

Gene symbolNucleotide changeProtein changedbSNP no.
SLC4A1c.388G>Ap.Gly130Argrs121912749
GP1BA c.1322_1344del23 p.Ser441TyrfsTerrs770089708

[i] GP1BA, glycoprotein Ib platelet α subunit; SLC4A1, solute carrier family 4 member 1; dbSNP, single nucleotide polymorphism database.

The second gene with a rare mutation shared between the proband and the proband's sister is glycoprotein Ib platelet α subunit (GP1BA). GP1BA and GP1BB constitute a heterodimer of glycoprotein Ib, which is a platelet surface membrane glycoprotein (22). In platelets, GP1B is an essential surface receptor for von Willebrand factor (VWF). The binding site of VWF is located in the leucine-rich repeat domain of GP1BA (23). The illustration of protein domains, including the leucine-rich repeat N-terminal domain [amino acids 19–46 (19–46 aa)], the NEL superfamily (34–205 aa) and the leucine-rich repeat C-terminal domain (221–281 aa) are presented in Fig. 3. Mutations within the leucine-rich repeat C-terminal domain of GP1BA (p.Asp235Tyr, p.Trp246Leu or p.Met255Ile) may cause platelet-type von Willebrand disease (2426). The association between genetic disorders of GP1BA and Bernard-Soulier syndrome (also known as giant platelet syndrome), which is characterized by a low platelet count and giant platelets, has been reported in Iranian, Indian and Kuwaiti populations, even though the gene variants or frameshifts are located in different regions of the GP1BA sequence (2730). Furthermore, a GP1BA polymorphism has been associated with post-partum hemorrhage (31). In the present study, the same deletion of the GP1BA gene [c.1322_1344del23, p.Ser441TyrfsTer (frameshift and termination), rs770089708] was detected in the proband and the proband's sister. The VWF binding domain is located in the leucine-rich domain (19–281 aa) of the extracellular region. The deletion was located in the extracellular domain of GA1BA. The homology of in this region of the GP1BA protein sequence is low among Homo sapiens (NCBI Reference Sequence: NP_000164), Mus musculus (NCBI Reference Sequence: NP_034456) and Rattus norvegicus (NCBI Reference Sequence: NP_001103124). As the deletion causes termination of GP1BA translation, the heterodimer GP1BA/GP1BB on the platelet surface may be affected. In the ClinVar database, the clinical significance of the GA1BP p.Ser441Tyr fs Ter mutation was rated as ‘likely benign’, which was according to only one data source. However, this mutation appears to be rare and may still be involved in thrombosis. The mutation most likely leads to the translation of a truncated GP1BA protein, which is soluble, since it cannot be incorporated into the plasma membrane. A detailed functional analysis of this GP1BA mutation requires to be performed in the future.

Results of the whole exome analysis: Unknown rare variants

The whole-exome analysis identified 742, 711 and 750 genes with unknown rare variants in cases II-3, II-1 and III-3, respectively. A Venn diagram presenting shared genes with rare mutations among the three subjects is displayed in Fig. 4. As cases II-3 and II-1 had presented with venous thrombosis, the 168 identical variants were subjected to a functional annotation analysis via DAVID bioinformatics resources (14,15). The genetic association database disease class for several of these gene mutations is presented in Table III. Among them, 25 genes were involved in human disease and 2 were associated with hematological diseases. The first gene is homeostatic iron regulator (HFE). The function of HFE protein is to regulate iron absorption. Therefore, the defects in HFE result in iron storage disorder and hereditary haemochromatosis (32). Previous studies have indicated an association between thrombosis and hereditary hemochromatosis (with HFE C282Y, H63D and S65C mutations) (33,34). In the present study, cases II-3 and II-1 shared a HFE mutation, namely an insertion in a splice region variant at 618–619/1519 of HFE complementary DNA; this mutation has not been recorded in ClinVar and has not been reported by any previous studies, to the best of our knowledge. Although this variant did not alter the coding sequence, this splice site mutation may alter the maturation of HFE mRNA and then result in the production of abnormal proteins. It was hypothesized that this novel HFE mutation may also be a risk factor for venous thrombosis.

Table III.

Diseases associated with the shared mutations between the proband and the proband's sister.

Table III.

Diseases associated with the shared mutations between the proband and the proband's sister.

Gene symbolGenetic association database disease class
ATF5Psych
CALYPsych
DOK1Cancer
EMX2Developmental, reproduction
FADS1Immune, psych
GLRBNeurological
HFEaAging, cancer, cardiovascular, hematological, immune, infection, metabolic, neurological, reproduction, vision
HLA-CaCancer, cardiovascular, hematological, immune, infection, metabolic, neurological, normal variation, pharmacogenomic, reproduction
HLA-HImmune
IL2RBCancer, immune, infection, psych
KRT19Unknown (cirrhosis, biliary primary)
LTBP4Immune
MASP1Immune
MMP10Cardiovascular
MTF1Neurological
MADCAM1Immune
MYO15AOther
NOTCH4Immune, neurological, psych
PANK2Neurological
PKHD1Renal
RBMXReproduction
RYKDevelopmental
SCN1BNeurological
SLC4A5Cardiovascular
ZBTB16Cancer

a indicates the genes associated with hematological diseases. ATF5, activating transcription factor 5; CALY, calcyon neuron specific vesicular protein; DOK1, docking protein 1; EMX2, empty spiracles homeobox 2; FADS1, fatty acid desaturase 1; GLRB, glycine receptor beta; HFE, homeostatic iron regulator; HLA-C, major histocompatibility complex, class I, C; HLA-H, major histocompatibility complex, class I, H (pseudogene); IL2RB, interleukin 2 receptor subunit beta; KRT19, keratin 19; LTBP4, latent transforming growth factor beta binding protein 4; MASP1, mannan binding lectin serine peptidase 1; MMP10, matrix metallopeptidase 10; MTF1, metal regulatory transcription factor 1; MADCAM1, mucosal vascular addressin cell adhesion molecule 1; MYO15A, myosin XVA; NOTCH4, NOTCH 4; PANK2, pantothenate kinase 2; PKHD1, PKHD1, fibrocystin/polyductin; RBMX, RNA binding motif protein X-linked; RYK, receptor-like tyrosine kinase; SCN1B, sodium voltage-gated channel beta subunit 1; SLC4A5, solute carrier family 4 member 5; ZBTB16, zinc finger and BTB domain containing 16.

The second shared gene associated with hematological diseases was major histocompatibility complex, class I, C (HLA-C). Two missense variants of HLA-C, namely c.98A>C (p.Asp33Ala, rs1071650) and c.121C>A (p.Arg41Ser, rs41555420), were observed in the two subjects via the Clinvar database. The function of these were unknown; however, the Clinvar database did not record them as pathogenic. As HLA-C is highly polymorphic and no published studies have indicated that these variants of HLA-C are pathogenic, the possibility of HLA-C being involved in abnormal venous thrombosis was ruled out.

Results of whole exome analysis: All rare variants among the proband, proband's sister and proband's daughter

The identical mutations between cases II-3 and II-1 were discussed above, as these two subjects had presented with venous thrombosis, while case III-3 was not considered, as she had not experienced any thrombotic events. However, the possibility of her developing venous thrombosis later in life could not be ruled out. Therefore, the 313 identical variants among cases II-3, II-1 and III-3 were subjected to functional annotation analysis and the genetic association database disease class of certain common mutations is presented in Table IV. Among them, only 5 genes, including HLA-A, HLA-B, major histocompatibility complex, class II, DQβ1 (HLA-DQB1), HLA-DRB1 and cytochrome P450 family 2 subfamily D member 6 (CYP2D6), were associated with hematological diseases. HLA-A, HLA-B, HLA-DQB1 and HLA-DRB1 are components of human major histocompatibility complex class I and class II. Human major histocompatibility complex (MHC) is a highly polymorphic gene, which recognises various pathogens. Thus, it was assumed that these gene polymorphisms are not associated with any abnormal venous thrombosis.

Table IV.

Diseases associated with the mutations shared between the proband, the proband's sister and the proband's daughter.

Table IV.

Diseases associated with the mutations shared between the proband, the proband's sister and the proband's daughter.

Gene symbolGenetic association database disease class
PRDM2Cancer
ALDH5A1Neurological, psych
APOL4Psych,
ATRCancer, cardiovascular
ATXN1Cardiovascular, neurological, psych
ATXN3Neurological, psych
ATN1Cardiovascular, neurological, psych
CACNA1ANeurological, psych
CCL3L3Immune, infection
CX3CR1Cancer, cardiovascular, immune, infection, renal, vision
CYP2C19Cancer, cardiovascular, immune, infection, metabolic, neurological, normal variation, pharmacogenomic, psych, reproduction
CYP2D6aAging, cancer, cardiovascular, chemdependency, hematological, immune, infection, metabolic, neuro-logical, normal variation, pharmacogenomic, psych, renal, reproduction, vision
DACH2Reproduction
DOCK3Psych
FAAHChemdependency, metabolic, psych
FGFR1Developmental
FLGImmune
FMO2Cancer
GPX1Cancer, cardiovascular, immune, metabolic, pharmacogenomic, psych, renal, vision
GNPATPsych
GDF5Metabolic
GHRHRCancer, developmental, metabolic
IFI27Infection
KRT18Other
KIR3DL2Cancer, immune, normal variation
KIR3DL3Cancer, normal variation
KIR2DL1Cancer, cardiovascular, immune, infection, normal variation, renal
LILRB1Immune
LILRB4Immune
HLA-AaAging, cancer, cardiovascular, hematological, immune, infection, metabolic, neurological, normal variation, pharmacogenomic, psych, reproduction
HLA-BaCancer, cardiovascular, hematological, immune, infection, metabolic, neurological, normal variation, pharmacogenomic, reproduction
HLA-DQA1Cancer, cardiovascular, developmental, immune, infection, metabolic, neuro logical, normal variation, pharmacogenomic, psych, renal, reproduction
HLA-DQB1aCancer, cardiovascular, hematological, immune, infection, metabolic, neuro logical, normal variation, pharmacogenomic, psych, renal, reproduction, vision
HLA-DRB1aCancer, cardiovascular, hematological, immune, infection, metabolic, neuro logical, normal variation, pharmacogenomic, psych, renal, reproduction, vision
HLA-DRB5Cancer, cardiovascular, immune, infection, metabolic, neurological
MAP3K1Cancer
MUC2Immune
MUC3AImmune
MUC4Immune, reproduction
MUC5ACImmune
MUC6Infection
MSH6Cancer
MYOCVision
NIPA1Immune
PER3Aging, chemdependency, neurological, psych
RAI1Smith-magenis syndrome
SLC5A4Psych
SYN2Psych
TNS1Developmental
TCN2Cancer, cardiovascular, developmental, immune, infection, metabolic, neuro logical, reproduction
TTNCardiomyopathy dilated 1G, cardiomyopathy familial hypertrophic, 9, muscular dystrophy limb-girdle type 2J, myopathy early-onset with fatal cardiomyopathy, myopathy, proximal with early respiratory muscle involvement, tibial muscular dystrophy tardive
XYLT2Immune, renal

a indicates the genes that are associated with haematological diseases. PRDM2, PR/SET domain 2; ALDH5A1, aldehyde dehydrogenase 5 family member A1; APOL4, apolipoprotein L4; ATR, ATR serine/threonine kinase; SERPINA2, serpin family A member 2 (gene/pseudogene); ANTXR1, ANTXR cell adhesion molecule 1; ATXN1, ataxin 1; ATXN3, ataxin 3; ATN1 atrophin 1, CACNA1A, calcium voltage-gated channel subunit alpha1 A; CCL3L3, C-C motif chemokine ligand 3 like 3; CX3CR1, C-X3-C motif chemokine receptor 1; CYP2C19, cytochrome P450 family 2 subfamily C member 19; CYP2D6, cytochrome P450 family 2 subfamily D member 6; DACH2, dachshund family transcription factor 2; DOCK3, dedicator of cytokinesis 3; FAAH, fatty acid amide hydrolase; FA2H, fatty acid 2-hydroxylase; FGFR1, fibroblast growth factor receptor 1; FLG, filaggrin; FGFR1, fibroblast growth factor receptor 1; FMO2, flavin containing monooxygenase 2; FMO4, flavin containing monooxygenase 4; GPX1, glutathione peroxidase 1; GNPAT, glyceronephosphate O-acyltransferase; GDF5, growth differentiation factor 5; GHRHR, growth hormone releasing hormone receptor; IFI27, interferon alpha inducible protein 27; KRT18, keratin 18; KIR3DL2, killer cell immunoglobulin like receptor, three Ig domains and long cytoplasmic tail 2; KIR3DL3, killer cell immunoglobulin like receptor, three Ig domains and long cytoplasmic tail 3; KIR2DL1, killer cell immunoglobulin like receptor, two Ig domains and long cytoplasmic tail 1; LILRB1, leukocyte immunoglobulin like receptor B1; LILRB4, leukocyte immunoglobulin like receptor B4; HLA-A, major histocompatibility complex, class I, A; HLA-B, major histocompatibility complex, class I, B; HLA-DQA1, major histocompatibility complex, class II, DQ alpha 1; HLA-DQB1, major histocompatibility complex, class II, DQ beta 1; HLA-DRB1, major histocompatibility complex, class II, DR beta 1; HLA-DRB5, major histocompatibility complex, class II, DR beta 5; MAP3K1, mitogen-activated protein kinase kinase kinase 1; MUC2, mucin 2, oligomeric mucus/gel-forming; MUC3A, mucin 3A, cell surface associated; MUC4, mucin 4, cell surface associated; MUC5AC, mucin 5AC, oligomeric mucus/gel-forming; MUC6, mucin 6, oligomeric mucus/gel-forming; MSH6, mutS homolog 6; MYOC, myocilin; NIPA1, NIPA magnesium transporter 1; PER3, period circadian regulator 3; RAI1, retinoic acid induced 1; RNASE12, ribonuclease A family member 12 (inactive); SLC5A4, solute carrier family 5 member 4; SYN2, synapsin II; TNS1, tensin 1; TCN2, transcobalamin 2; TTN, titin; XYLT2, xylosyltransferase 2.

CYP2D6 is an important hepatic enzyme involved in the metabolism of 20–25% of clinical drugs (35). CYP2D6 is highly polymorphic and >100 allelic variants of CYP2D6 have been identified (36), several of which do not alter the enzyme function of CYP2D6, although these known CYP2D6 polymorphisms may interfere with alternative splicing and transcription of the mRNA (37). In addition, CYP2D6 has a frequency of multiplication of 45% in Asian populations (38). In the present study, a homologous CYP2D6 variant c.1457G>C (p.Ser486Thr, rs1135840) was detected among all three subjects. As the copy number was not determined in the present study, it was not possible to determine whether the subjects carried a CYP2D6 multiplication. According to a previous study, the polymorphisms in CYP2D6*2 with rs1135840 are common in Chinese populations and CYP2D6*2 with rs1135840 retains its normal enzyme function (39). This may imply that the homologous CYP2D6 variant does not affect the enzyme function in this pedigree. Based on the above evidence, the identical gene mutations among the three subjects of the present study may not be major causes of venous thrombosis.

In conclusion, the present study identified common SLC4A1 and GP1BA mutations, which are known in ClinVar, and the common unknown HFE mutation between two female siblings with venous thrombosis (Fig 5). To the best of our knowledge, the present study was the first to report a possible association between venous thrombosis and these mutations in an Asian pedigree.

Acknowledgements

The authors would like to thank the Center for Research Resources and Development of Kaohsiung Medical University.

Funding

The present study was supported by grants from the Ministry of Science and Technology (grant nos. MOST 106-2314-B-037-016-MY2, MOST 106-2320-B-037-029-MY3 and MOST 107-2320-B-037-011-MY3), Kaohsiung Medical University Hospital (grant nos. KMUHS10701, KMUHS10712, KMUH106-6R15 and KMUH106-6R77), and the Kaohsiung Medical University (grant no. KMU-DK108003).

Availability of data and materials

The analyzed data sets generated during the present study are available from the corresponding author on reasonable request.

Authors' contributions

WC, MY and PK designed the study; WC and CS enrolled the patients; WC, KL, JS, MY and PK analyzed the data and interpreted the results; and WC, and MY wrote the manuscript. The final version of the manuscript has been read and approved by all authors, and each author believes that the manuscript represents honest work.

Ethical approval and consent to participate

The present study was approved by the Institutional Review Board of KMUH (Kaohsiung, Taiwan). All subjects provided written informed consent.

Patient consent for publication

Not applicable.

Competing interests

The authors declare that they have no competing interests.

References

1 

Rosendaal FR and Reitsma PH: Genetics of venous thrombosis. J Thromb Haemost. 7 Suppl 1:S301–S304. 2009. View Article : Google Scholar

2 

Miyata T, Maruyama K, Banno F and Neki R: Thrombophilia in East Asian countries: Are there any genetic differences in these countries? Thromb J. 14 Suppl 1:S252016. View Article : Google Scholar

3 

Makris M, Rosendaal FR and Preston FE: Familial thrombophilia: Genetic risk factors and management. J Intern Med Suppl. 740:9–15. 1997. View Article : Google Scholar : PubMed/NCBI

4 

Lotta LA, Wang M, Yu J, Martinelli I, Yu F, Passamonti SM, Consonni D, Pappalardo E, Menegatti M, Scherer SE, et al: Identification of genetic risk variants for deep vein thrombosis by multiplexed next-generation sequencing of 186 hemostatic/pro-inflammatory genes. BMC Med Genomics. 5:72012. View Article : Google Scholar : PubMed/NCBI

5 

Lotta LA, Tuana G, Yu J, Martinelli I, Wang M, Yu F, Passamonti SM, Pappalardo E, Valsecchi C, Scherer SE, et al: Next-generation sequencing study finds an excess of rare, coding single-nucleotide variants of ADAMTS13 in patients with deep vein thrombosis. J Thromb Haemost. 11:1228–1239. 2013. View Article : Google Scholar : PubMed/NCBI

6 

Morange PE, Suchon P and Trégouët DA: Genetics of venous thrombosis: Update in 2015. Thromb Haemost. 114:910–919. 2015. View Article : Google Scholar : PubMed/NCBI

7 

Sulger E and Gonzalez L: Mesenteric venous thrombosisStatPearls [Internet]. Treasure Island (FL): StatPearls Publishing; 2017, https://www.ncbi.nlm.nih.gov/books/NBK459184/January 15–2018

8 

Singh M, Long B and Koyfman A: Mesenteric ischemia: A deadly miss. Emerg Med Clin North Am. 35:879–888. 2017. View Article : Google Scholar : PubMed/NCBI

9 

Bolger AM, Lohse M and Usadel B: Trimmomatic: A flexible trimmer for Illumina sequence data. Bioinformatics. 30:2114–2120. 2014. View Article : Google Scholar : PubMed/NCBI

10 

Li H and Durbin R: Fast and accurate short read alignment with Burrows-Wheeler transform. Bioinformatics. 25:1754–1760. 2009. View Article : Google Scholar : PubMed/NCBI

11 

DePristo MA, Banks E, Poplin R, Garimella KV, Maguire JR, Hartl C, Philippakis AA, del Angel G, Rivas MA, Hanna M, et al: A framework for variation discovery and genotyping using next-generation DNA sequencing data. Nat Genet. 43:491–498. 2011. View Article : Google Scholar : PubMed/NCBI

12 

McLaren W, Gil L, Hunt SE, Riat HS, Ritchie GR, Thormann A, Flicek P and Cunningham F: The ensembl variant effect predictor. Genome Biol. 17:1222016. View Article : Google Scholar : PubMed/NCBI

13 

Landrum MJ, Lee JM, Benson M, Brown G, Chao C, Chitipiralla S, Gu B, Hart J, Hoffman D, Hoover J, et al: ClinVar: Public archive of interpretations of clinically relevant variants. Nucleic Acids Res. 44:D862–D868. 2016. View Article : Google Scholar : PubMed/NCBI

14 

Chen CH, Yang JH, Chiang CWK, Hsiung CN, Wu PE, Chang LC, Chu HW, Chang J, Song IW, Yang SL, et al: Population structure of Han Chinese in the modern Taiwanese population based on 10,000 participants in the Taiwan Biobank project. Hum Mol Genet. 25:5321–5331. 2016.PubMed/NCBI

15 

da Huang W, Sherman BT and Lempicki RA: Systematic and integrative analysis of large gene lists using DAVID bioinformatics resources. Nat Protoc. 4:44–57. 2009. View Article : Google Scholar : PubMed/NCBI

16 

da Huang W, Sherman BT and Lempicki RA: Bioinformatics enrichment tools: Paths toward the comprehensive functional analysis of large gene lists. Nucleic Acids Res. 37:1–13. 2009. View Article : Google Scholar : PubMed/NCBI

17 

Kunicki TJ, Williams SA and Nugent DJ: Genetic variants that affect platelet function. Curr Opin Hematol. 19:371–379. 2012. View Article : Google Scholar : PubMed/NCBI

18 

Korte W, Poon MC, Iorio A and Makris M: Thrombosis in inherited fibrinogen disorders. Transfus Med Hemother. 44:70–76. 2017. View Article : Google Scholar : PubMed/NCBI

19 

Liu Y, Yang J and Chen LM: Structure and function of SLC4 family [formula: See text] transporters. Front Physiol. 6:3552015. View Article : Google Scholar : PubMed/NCBI

20 

Perkins LA, Jones SF and Bhargava RS: Dural venous thrombosis following splenectomy in a patient with hereditary spherocytosis. South Med J. 102:542–545. 2009. View Article : Google Scholar : PubMed/NCBI

21 

Agarwal SK, Binbrek AS, Thompson JA and Siddiqui SA: Massive pulmonary embolism and acute limb ischaemia in a patient of hereditary spherocytosis and patent foramen ovale. Heart Lung Circ. 19:742–744. 2010. View Article : Google Scholar : PubMed/NCBI

22 

Ozaki Y, Asazuma N, Suzuki-Inoue K and Berndt MC: Platelet GPIb-IX-V-dependent signaling. J Thromb Haemost. 3:1745–1751. 2005. View Article : Google Scholar : PubMed/NCBI

23 

Watkins NA, Gusnanto A, de Bono B, De S, Miranda-Saavedra D, Hardie DL, Angenent WG, Attwood AP, Ellis PD, Erber W, et al: A HaemAtlas: Characterizing gene expression in differentiated human blood cells. Blood. 113:e1–e9. 2009. View Article : Google Scholar : PubMed/NCBI

24 

Enayat S, Ravanbod S, Rassoulzadegan M, Jazebi M, Tarighat S, Ala F, Emsley J and Othman M: A novel D235Y mutation in the GP1BA gene enhances platelet interaction with von Willebrand factor in an Iranian family with platelet-type von Willebrand disease. Thromb Haemost. 108:946–954. 2012. View Article : Google Scholar : PubMed/NCBI

25 

Lavenu-Bombled C, Guitton C, Dupuis A, Baas MJ, Desconclois C, Dreyfus M, Li R, Caron C, Gachet C, Fressinaud E and Lanza F: A novel platelet-type von Willebrand disease mutation (GP1BA p. Met255Ile) associated with type 2B ‘Malmö/New York’ von Willebrand disease. Thromb Haemost. 116:1070–1078. 2016. View Article : Google Scholar : PubMed/NCBI

26 

Woods AI, Sanchez-Luceros A, Bermejo E, Paiva J, Alberto MF, Grosso SH, Kempfer AC and Lazzari MA: Identification of p.W246L as a novel mutation in the GP1BA gene responsible for platelet-type von Willebrand disease. Semin Thromb Hemost. 40:151–160. 2014. View Article : Google Scholar : PubMed/NCBI

27 

Ali S, Ghosh K and Shetty S: Novel genetic abnormalities in bernard-soulier syndrome in india. Ann Hematol. 93:381–384. 2014. View Article : Google Scholar : PubMed/NCBI

28 

Shlebak A, Poles A, Manning R, Almuhareb S, De La Funte J, Mitchell M and Lucas G: A novel homozygous c.800C>G substitution in GP1BA exon 2 in a kuwaiti family with bernard-soulier syndrome. Acta Haematol. 134:193–198. 2015. View Article : Google Scholar : PubMed/NCBI

29 

Afrasiabi A, Lecchi A, Artoni A, Karimi M, Ashouri E, Peyvandi F and Mannucci PM: Genetic characterization of patients with bernard-soulier syndrome and their relatives from Southern Iran. Platelets. 18:409–413. 2007. View Article : Google Scholar : PubMed/NCBI

30 

Ali S, Shetty S and Ghosh K: A novel mutation in GP1BA gene leads to mono-allelic bernard soulier syndrome form of macrothrombocytopenia. Blood Coagul Fibrinolysis. 28:94–95. 2017. View Article : Google Scholar : PubMed/NCBI

31 

Biguzzi E, Franchi F, Acaia B, Ossola W, Nava U, Paraboschi EM, Asselta R and Peyvandi F: Genetic background and risk of postpartum haemorrhage: Results from an Italian cohort of 3219 women. Haemophilia. 20:e377–e383. 2014. View Article : Google Scholar : PubMed/NCBI

32 

Valenti L and Pelusi S: HFE mutations and iron in hemodialysis patients. Hemodial Int. 21 Suppl 1:S47–S57. 2017. View Article : Google Scholar : PubMed/NCBI

33 

Brown K, Luddington R, Taylor SA, Lillicrap DP and Baglin TP: Risk of venous thromboembolism associated with the common hereditary haemochromatosis Hfe gene (C282Y) mutation. Br J Haematol. 105:95–97. 1999. View Article : Google Scholar : PubMed/NCBI

34 

Dionisio Tavares Niewiadonski V, Dos Santos Bianchi JV, de Almeida-Neto C, Gaburo N Jr and Sabino EC: Evaluation of a high throughput method for the detection of mutations associated with thrombosis and hereditary hemochromatosis in Brazilian blood donors. PLoS One. 10:e01254602015. View Article : Google Scholar : PubMed/NCBI

35 

Ingelman-Sundberg M: Pharmacogenetics of cytochrome P450 and its applications in drug therapy: The past, present and future. Trends Pharmacol Sci. 25:193–200. 2004. View Article : Google Scholar : PubMed/NCBI

36 

Wang B, Yang LP, Zhang XZ, Huang SQ, Bartlam M and Zhou SF: New insights into the structural characteristics and functional relevance of the human cytochrome P450 2D6 enzyme. Drug Metab Rev. 41:573–643. 2009. View Article : Google Scholar : PubMed/NCBI

37 

Wang D, Poi MJ, Sun X, Gaedigk A, Leeder JS and Sadee W: Common CYP2D6 polymorphisms affecting alternative splicing and transcription: Long-range haplotypes with two regulatory variants modulate CYP2D6 activity. Hum Mol Genet. 23:268–278. 2014. View Article : Google Scholar : PubMed/NCBI

38 

Sistonen J, Fuselli S, Levo A and Sajantila A: CYP2D6 genotyping by a multiplex primer extension reaction. Clin Chem. 51:1291–1295. 2005. View Article : Google Scholar : PubMed/NCBI

39 

Goh LL, Lim CW, Sim WC, Toh LX and Leong KP: Analysis of genetic variation in CYP450 genes for clinical implementation. PLoS One. 12:e01692332017. View Article : Google Scholar : PubMed/NCBI

Related Articles

Journal Cover

November-2018
Volume 16 Issue 5

Print ISSN: 1792-0981
Online ISSN:1792-1015

Sign up for eToc alerts

Recommend to Library

Copy and paste a formatted citation
x
Spandidos Publications style
Chang WA, Sheu CC, Liu KT, Shen JH, Yen MC and Kuo PL: Identification of mutations in SLC4A1, GP1BA and HFE in a family with venous thrombosis of unknown cause by next‑generation sequencing. Exp Ther Med 16: 4172-4180, 2018.
APA
Chang, W., Sheu, C., Liu, K., Shen, J., Yen, M., & Kuo, P. (2018). Identification of mutations in SLC4A1, GP1BA and HFE in a family with venous thrombosis of unknown cause by next‑generation sequencing. Experimental and Therapeutic Medicine, 16, 4172-4180. https://doi.org/10.3892/etm.2018.6693
MLA
Chang, W., Sheu, C., Liu, K., Shen, J., Yen, M., Kuo, P."Identification of mutations in SLC4A1, GP1BA and HFE in a family with venous thrombosis of unknown cause by next‑generation sequencing". Experimental and Therapeutic Medicine 16.5 (2018): 4172-4180.
Chicago
Chang, W., Sheu, C., Liu, K., Shen, J., Yen, M., Kuo, P."Identification of mutations in SLC4A1, GP1BA and HFE in a family with venous thrombosis of unknown cause by next‑generation sequencing". Experimental and Therapeutic Medicine 16, no. 5 (2018): 4172-4180. https://doi.org/10.3892/etm.2018.6693