Literature DB >> 25520562

Allele and genotype distributions of DNA repair gene polymorphisms in South Indian healthy population.

Katiboina Srinivasa Rao1, Abialbon Paul1, Annan Sudarsan Arun Kumar1, Gurusamy Umamaheswaran1, Biswajit Dubashi2, Karunanithi Gunaseelan3, Steven Aibor Dkhar1.   

Abstract

Various DNA repair pathways protect the structural and chemical integrity of the human genome from environmental and endogenous threats. Polymorphisms of genes encoding the proteins involved in DNA repair have been found to be associated with cancer risk and chemotherapeutic response. In this study, we aim to establish the normative frequencies of DNA repair genes in South Indian healthy population and compare with HapMap populations. Genotyping was done on 128 healthy volunteers from South India, and the allele and genotype distributions were established. The minor allele frequency of Xeroderma pigmentosum group A (XPA) G23A, Excision repair cross-complementing 2 (ERCC2)/Xeroderma pigmentosum group D (XPD) Lys751Gln, Xeroderma pigmentosum group G (XPG) His46His, XPG Asp1104His, and X-ray repair cross-complementing group 1 (XRCC1) Arg399Gln polymorphisms were 49.2%, 36.3%, 48.0%, 23.0%, and 34.0% respectively. Ethnic variations were observed in the frequency distribution of these polymorphisms between the South Indians and other HapMap populations. The present work forms the groundwork for cancer association studies and biomarker identification for treatment response and prognosis.

Entities:  

Keywords:  DNA repair; XPA; XPD; XPG; XRCC1

Year:  2014        PMID: 25520562      PMCID: PMC4259864          DOI: 10.4137/BIC.S19681

Source DB:  PubMed          Journal:  Biomark Cancer        ISSN: 1179-299X


Introduction

The human genome is vulnerable to structural and chemical damage by various environmental and endogenous noxious stimuli. The integrity and stability of the genome are of paramount importance to its function as any alteration would result in malfunctioning of downstream pathways that could lead to disease or dysfunction. Alteration in the genome is a key step for cancer initiation and progression. Hence, it is not surprising that the human genome has more than 130 genes involved in recognizing and repairing DNA defects.1 These genes control various DNA repair pathways involved in maintaining the genomic integrity. Polymorphisms in the genes coding for DNA repair proteins result in decreased removal of DNA damaged products, thereby, increasing the risk of developing cancer and age-related disorders.2 The nucleotide excision repair (NER) pathway is a complex and versatile DNA repair mechanism that rectifies various DNA defects caused by ultraviolet (UV)-induced lesions and bulky chemical adducts, and drug-induced DNA damage.3 Various proteins are involved in the functioning of the NER pathway, and variants in the genes encoding for these proteins have been studied. Seven complementation groups (XPAXPG) have been described, and they code for proteins involved in the NER pathway.4 The Xeroderma pigmentosum group A (XPA) gene codes for a protein that, along with the replication protein A (RPA) and Xeroderma pigmentosum group C (XPC), is involved in the initial sensing of the damage in the DNA strands,5 and, hence, is called the damage recognition factor. A polymorphism in the XPA, the G23A polymorphism, is located in the 5′ untranslated region and is four nucleotides upstream of the start codon. Mutations in this region are known to cause low levels of protein expression because of the differential binding of the 40S ribosome to the promoter region.6 The Xeroderma pigmentosum group D (XPD), also known as the Excision repair cross-complementing 2 (ERCC2), codes for a protein that forms three of the nine subunits that constitute the transcription factor IIH (TFIIH).7 TFIIH is involved in the transcription of the DNA during the DNA repair process. Mutations in the XPD can diminish the activity of these proteins and result in an abnormal DNA repair process. A total of 17 single nucleotide polymorphisms (SNPs) of XPD have been described, of which the Lys751Gln (rs13181) results in an amino acid change and, consequently, can affect protein function.8 The XPG gene codes for an endonuclease that helps in the nicking of damaged DNA fragments and plays a pivotal role in the NER pathway.9 Two important SNPs in the XPG gene are the XPG His46His (rs1047768) and XPG Asp1104His (rs17655). Mutations of the genes encoding proteins in the NER pathway have been studied and found to be associated with various cancers. The X-ray repair cross-complementing group 1 (XRCC1) gene codes for a scaffolding protein that plays a role in the base excision repair (BER) pathway. DNA repair is brought about by its complex interactions with DNA polymerase-β, poly (ADP-ribose) polymerase, and DNA ligase III.10,11 XRCC1 is required for the efficient repair of single-strand breaks (SSBs).12 SSBs occur in the cell because of the oxidative damage produced by the reactive oxygen species (ROS), because of the anomalous activity of certain enzymes involved in DNA replication, or during repair of DNA by other repair pathways.13 Genetic alterations of the XRCC1 may result in a dysfunctional protein with impaired repair capacity, thus, increasing risk of cancer in an individual. A common genetic variant of XRCC1, Arg399Gln, has been implicated in various cancers.14 Apart from conferring increased susceptibility to cancer risk, mutations in the DNA repair pathway also alter the sensitivity to cancer chemotherapy.15 Platinum-based chemotherapeutic agents, which includes cisplatin, carboplatin, and oxaliplatin, are commonly used as first-line chemotherapeutic agents for many cancers. The platinum compounds form DNA adducts and cause cell death. Efficient NER of the DNA damage decreases the efficiency to cause tumor cell death and might result in resistance to these compounds, whereas a deficiency in the DNA repair will increase the efficiency.16 India is a country with a vast population derived from various ethnic groups. Hence, genetic differences are common among various groups within India, and the South Indian population represents a genetically distinct group.17 Such genetic differences within populations can confound genotype–phenotype association studies and are the major reasons for the conflicting results. In this study, we aim to establish the normative frequency of five SNPs of genes involved in DNA repair pathways, viz, XPA G23A (rs1800975), ERCC2/XPD Lys751Gln (rs13181), XPG His46His (rs1047768), XPG Asp1104His (rs17655), and XRCC1 Arg399Gln (rs25487) (details of the polymorphisms are shown in Table 1). We also aim to evaluate the similarity or dissimilarity between various HapMap populations such as CEU (Utah residents with Northern and Western European ancestry), HCB (Han Chinese in Beijing, China), JPT (Japanese in Tokyo, Japan), YRI (Yoruba in Ibadan, Nigeria), GIH (Gujarat Indians in Houston), and MEX (Mexican ancestry in Los Angeles, CA).
Table 1

Characteristic features, rs IDs, and assay IDs of the DNA repair gene polymorphisms studied.

GENESNPBASE PAIR CHANGEGENE LOCATIONSNP LOCATIONrs IDASSAY ID
XPAG23AG>A9q22.35′ UTRrs1800975C____482935_1_
ERCC2/XPDLys751GlnA>C19q13.3Exon 23rs13181C___3145033_10
XPGHis46HisT>C13q33.1Exon 2rs1047768C___1891769_20
XPGAsp110 4HisG>C13q33.1Exon 15rs17655C____1891743_10
XRCC1Arg399GlnG>A19q13.2Exon 10rs25487C____622564_10

Abbreviations: SNP, single nucleotide polymorphism; 5′ UTR, untranslated region; Lys, lysine; Gln, glutamine; His, histidine; Asp, aspartate; Arg, arginine.

Methodology

Study subjects

The study was carried out on 128 healthy individuals between 18 and 70 years of age. Unrelated individuals from the general population, residing in the Southern states of India (Tamil Nadu, Kerala, Karnataka, and Andhra Pradesh) for three consecutive generations and speaking a Dravidian language (Tamil, Malayalam, Kannada, and Telugu), were selected for the study. The study subjects comprised 73 males and 55 females, and the mean age (±SD) was 34.8 (±14.5) years. Ethical approval was obtained from the Institute Ethics Committee, JIPMER (Jawaharlal Institute of Postgraduate Medical Education and Research), Pondicherry, India. Written informed consent was obtained from all subjects participating in the study. The study was in compliance with the good clinical practice according to the principles of the Declaration of Helsinki.

DNA extraction

Approximately 5 mL of venous blood was collected from each study subject in tubes containing 100 μL of 10% ethylene diaminetetraacetic acid (EDTA). Genomic DNA was extracted using the standard phenolchloroform extraction method.18 The isolated DNA was stored at −20°C until genotyping.

Genotyping

Five SNPs in DNA repair genes—XPA G23A (rs1800975), ERCC2/XPD Lys751Gln (rs13181), XPG His46His (rs1047768), XPG Asp1104His (rs17655), and XRCC1 Arg399Gln (rs25487)—were genotyped by RT-PCR (Real time polymerase chain reaction) (Applied Biosystems 7300) using TaqMan SNP genotyping assay kits (Table 1). Genomic DNA was diluted to 50 ng/μL, and 2.5 μL was used for RT-PCR. In all, 5 μL of TaqMan Universal PCR master mix and 0.25 μL of TaqMan genotyping assay were added to the diluted DNA, and deionized water was added to make up the final volume to 10 μL. The thermocycler was set at 50°C for two minutes and at 95°C for 10 minutes to activate polymerase AmpliTaq Gold. In all, 40 cycles of denaturation (92°C for 15 seconds) and annealing-extension (60°C for 1 minute) were used to amplify the DNA sequence. Allelic discrimination was done by 7300 sequence detection software (SDS), version 1.4. The allelic discrimination plots of the five SNPs are shown in Figures 1–5. For quality control, 10% of the samples were reanalyzed, and the results were found to be 100% concordant.
Figure 1

Allelic discrimination plot of XPA G23a (rs1800975) polymorphism.

Figure 5

Allelic discrimination plot of XRCC1 Arg399Gln (rs25487) polymorphism.

Statistical analysis

The genotype and allele frequencies were determined by direct gene count method. The genotype frequencies were tested for Hardy-Weinberg equilibrium using the chi-square (χ2) test by comparing the observed frequencies with the expected frequencies. Chi-square test was also used to assess the differences in allele frequencies between the study population and populations of different ethnicities. Statistical analysis was performed using GraphPad InStat 3.

Results

The observed allele frequencies of all the five SNPs were in Hardy–Weinberg equilibrium. Gender-wise stratification of the genotype and allele frequencies of the five SNPs was done and is shown in Table 2. The allele frequencies did not differ significantly between males and females.
Table 2

Gender-wise genotype and allele frequency distribution of DNA repair gene polymorphisms in the study population.

SNPGENOTYPE FREQUENCY (%)ALLELE FREQ UENCY (%)P VALUE
rs13181AAACCCAC0.1928
Male (73)39.741.119.260.339.7
Female (55)47.341.810.968.231.8
rs25487GGGAAAGA0.8693
Male (73)46.639.713.766.433.6
Female (55)47.336.416.465.534.5
rs1800975GGGAAAGA0.6387
Male (73)30.143.826.052.147.9
Female (55)29.140.030.949.150.9
rs1047768TTTCCCTC0.6399
Male (73)30.141.128.850.749.3
Female (55)27.352.720.053.646.4
rs17655GGGCCCGC0.2740
Male (73)63.032.94.179.520.5
Female (55)54.538.27.373.626.4

XPA G23A (rs1800975)

The XPA G23A had G allele frequency of 50.8% and A allele frequency of 49.2%. The heterozygous genotype GA was seen in 42.2% while the homozygous genotypes GG and AA were seen in 29.7% and 28.1%, respectively (Table 3). The allele frequencies were significantly different from those observed among the CEU, YRI, and MEX. They were similar to the HCB, JPT, and GIH.
Table 3

Comparison of the genotype and allele frequencies of XPA G23a polymorphism with HapMap populations.

POPULATIONNGENOTYPE FREQUENCY (%)ALLELE FREQUENCY (%)P VALUE
GGGAAAGA
Present study (SI)12829.742.228.150.849.2Ref.
CEU22637.249.613.361.938.10.0038
HCB8620.960.518.651.248.80.9383
JPT16829.842.927.451.248.80.9214
YRI22656.640.72.777.023.0<0.0001
GIH17630.747.721.654.545.50.3585
MEX10040.042.018.061.039.00.0294

Abbreviations: N, number of subjects; SI, South Indian; CEU, Utah residents with Northern and Western European ancestry; HCB, Han Chinese in Beijing, China; JPT, Japanese in Tokyo, Japan; YRI, Yoruba in Ibadan, Nigeria; GIH, Gujarat Indians in Houston, TX; and MEX, Mexican ancestry in Los Angeles, CA.

ERCC2/XPD Lys751Gln A>C (rs13181)

The observed genotype and allele frequencies of ERCC2/XPD Lys751Gln are shown in Table 4. The genotype frequencies of AA, AC, and CC were 43.0%, 41.4%, and 15.6%, respectively. The minor allele C had a frequency of 36.3%, highest among the populations compared. The allele frequencies observed in South Indians were significantly different from HCB, JPT, YRI, and MEX populations, while being similar to CEU and GIH. The C allele was as low as 7.6% in the JPT.
Table 4

Comparison of the allele and genotype frequencies of ERCC2/XPD Lys751Gln (A>C) polymorphism with HapMap populations.

POPULATIONNGENOTYPE FREQUENCY (%)ALLELE FREQUENCY (%)P VALUE
AAACCCAC
Present study (SI)12843.041.415.663.736.3Ref.
CEU22640.752.27.166.833.20.3975
HCB8683.716.30.091.98.1<0.0001
JPT17286.012.81.292.47.6<0.0001
YRI22664.633.61.881.418.6<0.0001
GIH17639.848.911.464.235.80.8925
MEX10062.034.04.079.021.00.0004

Abbreviations: N, number of subjects; SI, South Indian; CEU, Utah residents with Northern and Western European ancestry; HCB, Han Chinese in Beijing, China; JPT, Japanese in Tokyo, Japan; YRI, Yoruba in Ibadan, Nigeria; GIH, Gujarat Indians in Houston, TX; and MEX, Mexican ancestry in Los Angeles, CA.

XPG His46His T>C (rs1047768)

The genotype and allele frequencies of XPG His46His are shown in Table 5. T allele and C allele had frequencies of 52.0% and 48.0%, respectively. The TT and CC genotypes were seen in 28.9% and 25.0%, respectively, while the heterozygous TC was present in 46.1%. The allele frequencies were found to be significantly different from all the populations compared.
Table 5

Comparison of the genotype and allele frequencies of XPG His46His (T>C) polymorphism with HapMap populations.

POPULATIONNGENOTYPE FREQUENCY (%)ALLELE FREQUENCY (%)P VALUE
TTTCCCTC
Present study (SI)12828.946.125.052.048.0Ref.
CEU22617.749.632.742.557.50.0151
HCB8655.834.99.373.326.7<0.0001
JPT17268.629.12.383.116.9<0.0001
YRI2248.042.050.029.071.0<0.0001
GIH17638.645.515.961.438.60.0205
MEX10036.052.012.062.038.00.0318

Abbreviations: N, number of subjects; SI, South Indian; CEU, Utah residents with Northern and Western European ancestry; HCB, Han Chinese in Beijing, China; JPT, Japanese in Tokyo, Japan; YRI, Yoruba in Ibadan, Nigeria; GIH, Gujarat Indians in Houston, TX; and MEX, Mexican ancestry in Los Angeles, CA.

XPG Asp1104His G>C (rs17655)

The genotype and allele frequencies of XPG Asp1104His are shown in Table 6. The GG and GC genotypes were seen in 59.4% and 35.1%, respectively, while the homozygous mutant CC was observed in 5.5%. The allele frequencies of G and C alleles were 77.0% and 23.0%, respectively. The allele frequencies of the South Indian population studied differed significantly from all the populations compared.
Table 6

Comparison of the genotype and allele frequencies of XPG Asp1104His (G>C) polymorphism with HapMap populations.

POPULATIONNGENOTYPE FREQUENCY (%)ALLELE FREQUENCY (%)P VALUE
GGGCCCGC
Present study (SI)12859.435.15.577.023.0Ref.
CEU1206.740.053.326.773.3<0.0001
HCB9015.657.826.744.455.6<0.0001
JPT8825.054.520.552.347.7<0.0001
YRI12028.351.720.054.245.8<0.0001

Abbreviations: N, number of subjects; SI, South Indian; CEU, Utah residents with Northern and Western European ancestry; HCB, Han Chinese in Beijing, China; JPT, Japanese in Tokyo, Japan; and YRI, Yoruba in Ibadan, Nigeria.

XRCC1 Arg399Gln G>A (rs25487)

The genotype frequencies of GG, GA, and AA of XRCC1 Arg399Gln were 46.9%, 38.3%, and 14.8%, respectively (Table 7). The G allele frequency was calculated to be 66.0%, and the A allele frequency was 34.0%. The allele frequencies were found to be statistically divergent from YRI. The minor allele frequency varied from 11.1% in YRI to 40.9% in GIH.
Table 7

Comparison of the genotype and allele frequencies of XRCC1 Arg399Gln (G>A) polymorphism with HapMap populations.

POPULATIONNGENOTYPE FREQUENCY (%)ALLELE FREQUENCY (%)P VALUE
GGGAAAGA
Present study (SI)12846.938.314.866.034.0Ref.
CEU22438.450.011.663.436.60.4846
HCB8452.440.57.172.627.40.1518
JPT17252.340.77.072.727.30.0788
YRI22677.922.1088.911.1<0.0001
GIH17634.150.015.959.140.90.0824
MEX9842.949.08.267.332.70.7662

Abbreviations: N, number of subjects; SI, South Indian; CEU, Utah residents with Northern and Western European ancestry; HCB, Han Chinese in Beijing, China; JPT, Japanese in Tokyo, Japan; YRI, Yoruba in Ibadan, Nigeria; GIH, Gujarat Indians in Houston, TX; and MEX, Mexican ancestry in Los Angeles, CA.

Discussion

The aim of the present study was to investigate the frequency of genetic polymorphisms in the XPA, XPD, XPG, and XRCC1 genes in a South Indian healthy population. We report the genotype and allele frequencies of five different polymorphisms in DNA repair genes. In our study, the allele frequencies of XPA G23A showed a significant deviation from the CEU, YRI, and MEX. The presence of G allele has been shown to decrease the risk of lung cancer among non-Caucasians, while this effect was not seen in the Caucasians.19 Further, ethnic specific differences were observed in its association with head and neck and colorectal cancers, a protective effect of the G allele being greater in the Asian population.20 Moreover, XPA polymorphisms have a role as a predictive biomarker of response to platinum-based chemotherapy, especially in non-small-cell lung cancer.21,22 The ERCC2/XPD Lys751Gln polymorphism frequencies showed a significant deviation from the populations of HCB, JPT, YRI, and MEX. The minor allele frequency was found to be similar to a study on the Northern Indian population by Gangwar et al23 and on South Indians by Vettriselvi et al.24 This polymorphism has been associated with an increased risk of cancers of the lung,25 bladder,26 prostate,27 and brain.28 A recent study also revealed that the XPD polymorphism can be useful as a biomarker for tamoxifen response in breast cancer patients.29 Recently, we established the frequency distribution of another polymorphism ERCC2/XPD Asp312Asn and two important polymorphisms of the ERCC1 in South Indian population.30 We report, to the best of our knowledge, for the first time in South Indian population, the allele and genotype frequencies of XPG His46His and Asp1104His. We observe the allele frequencies of both the SNPs to be completely deviant in the rest of the populations from the HapMap such as the CEU, HCB, JPT, and YRI. Heterozygous genotype of the XPG His46His was observed in a larger group of subjects similar to other populations, unlike the HCB or JPT. The present study population also had almost equal frequencies of both the alleles. Interestingly, the GG genotype of the XPG Asp1104His was higher in our population, quite contrary to the rest of the populations compared with. CC was the major genotype in CEU, while the heterogeneous genotype GC was major genotype in HCB, JPT, and YRI. Very few studies evaluating XPG gene polymorphisms are available from India, and a North Indian study reported the heterogeneous genotype to be the commonest genotype in the healthy population.31 This probably suggests that inter-ethnic variations exist in the distribution of XPG gene polymorphisms. XPG His46His has been associated with colon32 and prostate cancer.31 It also has a role in predicting response to platinum-based chemotherapy.33,34 The Asp1104His, on the other hand, has been associated with an increased risk of cutaneous melanoma35 and breast cancer.36 Other studies show weak or no association with cancer.37,38 The XRCC1 Arg399Gln gene polymorphism frequency in South Indians was comparable to the populations such as CEU, HCB, JPT, GIH, and MEX. However, it showed a significant deviation from YRI. A study from the northern part of India of 150 healthy volunteers found the minor allele frequency to be 43%, higher than the present study population (34%).39 A recent study from Northern India, evaluating the role of Arg399Gln in colorectal cancer, found a higher percentage of homozygous mutants than our study.40 Arg399Gln has been found to be associated strongly with hepatocellular carcinoma in the Asian population and breast cancer in Indians.41 Various studies have shown its association with the risk of lung cancer,42,43 glioma,28,44 endometrial carcinoma,45 breast cancer,46 etc. We did not find a difference in the distribution of these polymorphisms between the genders, and the differential risk that these genotypes confer on males and females might be because of the dietary habits and interaction with other environmental factors as explained by Wang et al.47 To the best of our knowledge, this is the first study to establish the frequency distribution of XPA and XPG gene polymorphisms in South Indian population. To conclude, we report the frequency distribution of five SNPs in DNA repair pathways, and the present work forms the groundwork for cancer association studies and biomarker identification for treatment response and prognosis.
  47 in total

Review 1.  Polymorphisms in DNA repair genes and associations with cancer risk.

Authors:  Ellen L Goode; Cornelia M Ulrich; John D Potter
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2002-12       Impact factor: 4.254

2.  The codon 399 Arg/Gln XRCC1 polymorphism is associated with lung cancer in Indians.

Authors:  Kirmani Natukula; Kaiser Jamil; Usha Rani Pingali; Venkata Satya Suresh Attili; Umamaheshwar Rao Naidu Madireddy
Journal:  Asian Pac J Cancer Prev       Date:  2013

3.  Polymorphisms in base excision repair genes are associated with endometrial cancer risk among postmenopausal Japanese women.

Authors:  Satoyo Hosono; Keitaro Matsuo; Hidemi Ito; Isao Oze; Kaoru Hirose; Miki Watanabe; Toru Nakanishi; Kazuo Tajima; Hideo Tanaka
Journal:  Int J Gynecol Cancer       Date:  2013-11       Impact factor: 3.437

4.  XPA A23G polymorphism and lung cancer risk: a meta-analysis.

Authors:  Ji-Hong Zou; Li An; Shi Chen; Li-Qun Ren
Journal:  Mol Biol Rep       Date:  2011-05-25       Impact factor: 2.316

Review 5.  XRCC1 polymorphisms and cancer risk: a meta-analysis of 38 case-control studies.

Authors:  Zhibin Hu; Hongxia Ma; Feng Chen; Qingyi Wei; Hongbing Shen
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2005-07       Impact factor: 4.254

6.  Xeroderma pigmentosum complementation group D (XPD) gene polymorphisms contribute to bladder cancer risk: a meta-analysis.

Authors:  Su-Xia Li; Qiang-Sheng Dai; Su-Xiu Chen; Shao-Dan Zhang; Xiao-Yu Liao; Xia Deng; Hong-Bo Chi; Feng-Jie Li; Jin-Hong Zhu; Yi-Yan Jiang
Journal:  Tumour Biol       Date:  2013-12-18

7.  An interaction between the mammalian DNA repair protein XRCC1 and DNA ligase III.

Authors:  K W Caldecott; C K McKeown; J D Tucker; S Ljungquist; L H Thompson
Journal:  Mol Cell Biol       Date:  1994-01       Impact factor: 4.272

Review 8.  Platinum resistance: the role of DNA repair pathways.

Authors:  Lainie P Martin; Thomas C Hamilton; Russell J Schilder
Journal:  Clin Cancer Res       Date:  2008-03-01       Impact factor: 12.531

9.  XRCC1 is required for DNA single-strand break repair in human cells.

Authors:  Reto Brem; Janet Hall
Journal:  Nucleic Acids Res       Date:  2005-05-02       Impact factor: 16.971

10.  Explorative study to identify novel candidate genes related to oxaliplatin efficacy and toxicity using a DNA repair array.

Authors:  D M Kweekel; N F Antonini; J W R Nortier; C J A Punt; H Gelderblom; H-J Guchelaar
Journal:  Br J Cancer       Date:  2009-06-16       Impact factor: 7.640

View more
  2 in total

1.  DNA Repair Mechanism Gene, XRCC1A ( Arg194Trp) but not XRCC3 ( Thr241Met) Polymorphism Increased the Risk of Breast Cancer in Premenopausal Females: A Case-Control Study in Northeastern Region of India.

Authors:  K Rekha Devi; Jishan Ahmed; Kanwar Narain; Kaustab Mukherjee; Gautam Majumdar; Saia Chenkual; Jason C Zonunmawia
Journal:  Technol Cancer Res Treat       Date:  2017-11-21

2.  Association of XRCC1, XRCC2 and XRCC3 Gene Polymorphism with Esophageal Cancer Risk.

Authors:  Jagjeet Kaur; Vasudha Sambyal; Kamlesh Guleria; Neeti Rajan Singh; Manjit Singh Uppal; Mridu Manjari; Meena Sudan
Journal:  Clin Exp Gastroenterol       Date:  2020-03-16
  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.