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Chang HY, Liu CY, Lo YL, Chiou SH, Lu KH, Lee MC, Wang YH. Cytotoxic T-lymphocyte antigen 4 polymorphisms and breast cancer susceptibility: Evidence from a meta-analysis. J Chin Med Assoc 2023; 86:207-219. [PMID: 36652567 DOI: 10.1097/jcma.0000000000000851] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/19/2023] Open
Abstract
BACKGROUND Cytotoxic T-lymphocyte antigen 4 (CTLA-4) is an immune checkpoint and regulates the immune function of T cells. However, previous findings regarding the association of CTLA-4 polymorphisms and breast cancer remain inconclusive. Therefore, we performed a meta-analysis to investigate the potential effects of five polymorphisms (-1722 T/C, -1661 A/G -318 C/T, +49 A/G, and CT60 A/G) in the CTLA-4 gene on breast cancer susceptibility. METHODS Relevant literatures were systematically searched through electronic databases including PubMed, EMBASE, and Web of Science up to October 10, 2021. Available data were extracted and odds ratios (ORs) with 95% confidence intervals were used to estimate the pooling effect size. The Newcastle-Ottawa Scale was applied for assessing the quality of included studies. We conducted subgroup analyses based on ethnicity and control sources to explore levels of heterogeneity. Moreover, sensitivity analysis and publication bias were assessed. RESULTS Finally, a total of 12 eligible studies regarding CTLA-4 polymorphisms and breast cancer were included. For overall analyses, only the +49 A/G polymorphism was significantly associated with breast cancer under allelic (OR = 1.19), dominant (OR = 1.27), and recessive (OR = 1.27) models. Ethnicity-based subgroup analysis found that the +49 A/G polymorphism has a significant risk (OR = 2.03) of breast cancer under the recessive model in the non-Asian population. Studies with hospital-based controls showed that the +49 A/G polymorphism has significant breast cancer risks under allelic (OR = 1.44), dominant (OR = 1.86), and recessive (OR = 1.60) models. In addition, those with population-based controls found that -1722 T/C polymorphism has a significant breast cancer risk under allelic (OR = 1.19) and dominant (OR = 1.26) models. CONCLUSION This meta-analysis suggested that CTLA-4 + 49 A/G polymorphism may significantly associate with breast cancer susceptibility. Future studies containing various populations are helpful for evaluating the impacts of CTLA-4 polymorphisms on breast cancer susceptibility.
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Affiliation(s)
- Hao-Yun Chang
- School of Medicine, College of Medicine, Taipei Medical University, Taipei, Taiwan, ROC
- Division of General Medicine, Department of Medical Education, Far Eastern Memorial Hospital, New Taipei City, Taiwan, ROC
| | - Chao-Yu Liu
- Division of Traumatology, Department of Surgery, Far Eastern Memorial Hospital, New Taipei City, Taiwan, ROC
| | - Yen-Li Lo
- Institute of Biomedical Sciences, Academia Sinica, Nankang, Taipei, Taiwan, ROC
| | - Shih-Hwa Chiou
- Institute of Pharmacology, National Yang Ming Chiao Tung University, Taipei, Taiwan, ROC
- Department of Medical Research, Taipei Veterans General Hospital, Taipei, Taiwan, ROC
- Stem Cell & Genomic Center, National Yang Ming Chiao Tung University, Taipei, Taiwan, ROC
- Genomic Research Center, Academia Sinica, Taipei, Taiwan, ROC
| | - Kai-Hsi Lu
- Department of Medical Research and Education, Cheng-Hsin General Hospital, Taipei, Taiwan, ROC
| | - Ming-Cheng Lee
- Division of Infectious Diseases, Department of Internal Medicine, Cheng-Hsin General Hospital, Taipei, Taiwan, ROC
| | - Yuan-Hung Wang
- Graduate Institute of Clinical Medicine, College of Medicine, Taipei Medical University, Taipei, Taiwan, ROC
- Department of Medical Research, Shuang Ho Hospital, Taipei Medical University, New Taipei City, Taiwan, ROC
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Osman Y, Elsharkawy T, Hashim TM, Alratroot JA, Aljindan F, Almulla L, Alsuwat HS, Al Otaibi WM, Hegazi FM, Ibrahim AM, Borgio JF, AbdulAzeez S. Study of Single Nucleotide Polymorphisms Associated with Breast Cancer Patients among Arab Ancestries. Int J Breast Cancer 2022; 2022:2442109. [PMID: 36268271 PMCID: PMC9578870 DOI: 10.1155/2022/2442109] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/21/2022] [Revised: 09/20/2022] [Accepted: 09/30/2022] [Indexed: 11/27/2022] Open
Abstract
The aim of this study is to investigate the single nucleotide polymorphisms (SNPs) associated with breast cancer in our population of Arab patients. We investigated 26 breast cancer patients and an equal number of healthy age- and sex-matched control volunteers. We examined the exome wide microarray-based biomarkers and screened 243,345 SNPs for their possible significant association with our breast cancer patients. Successfully, we identified the most significant (p value ≤9.14 × 10-09) four associated SNPs [SNRK and SNRK-AS1-rs202018563G; BRCA2-rs2227943C; ZNF484-rs199826847C; and DCPS-rs1695739G] among persons with breast cancer versus the healthy controls even after Bonferroni corrections (p value <2.05 × 10-07). Although our patients' numbers were limited, the identified SNPs might shed some light on certain breast cancer-associated functional multigenic variations in Arab patients. We assert on the importance of more extensive large-scale analysis to confirm the candidate biomarkers and possible target genes of breast cancer among Arab ancestries.
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Affiliation(s)
- Yasser Osman
- Pathology Department, College of Medicine, Imam Abdulrahman Bin Faisal University, Dammam 31441, Saudi Arabia
| | - Tarek Elsharkawy
- Pathology Department, College of Medicine, Imam Abdulrahman Bin Faisal University, Dammam 31441, Saudi Arabia
| | - Tariq Mohammad Hashim
- Pathology Department, College of Medicine, Imam Abdulrahman Bin Faisal University, Dammam 31441, Saudi Arabia
| | - Jumana Abdulwahab Alratroot
- Pathology Department, College of Medicine, Imam Abdulrahman Bin Faisal University, Dammam 31441, Saudi Arabia
| | - Fatima Aljindan
- Pathology Department, College of Medicine, Imam Abdulrahman Bin Faisal University, Dammam 31441, Saudi Arabia
| | - Liqa Almulla
- Pathology Department, College of Medicine, Imam Abdulrahman Bin Faisal University, Dammam 31441, Saudi Arabia
| | - Hind Saleh Alsuwat
- Department of Genetic Research, Institute for Research and Medical Consultations (IRMC), Imam Abdulrahman Bin Faisal University, Dammam 31441, Saudi Arabia
| | - Waad Mohammed Al Otaibi
- Department of Genetic Research, Institute for Research and Medical Consultations (IRMC), Imam Abdulrahman Bin Faisal University, Dammam 31441, Saudi Arabia
| | - Fatma Mohammed Hegazi
- Department of Genetic Research, Institute for Research and Medical Consultations (IRMC), Imam Abdulrahman Bin Faisal University, Dammam 31441, Saudi Arabia
| | - Abdallah M. Ibrahim
- Department of Genetic Research, Institute for Research and Medical Consultations (IRMC), Imam Abdulrahman Bin Faisal University, Dammam 31441, Saudi Arabia
- Department of Fundamentals of Nursing, College of Nursing, Imam Abdulrahman Bin Faisal University, Dammam 31441, Saudi Arabia
| | - J. Francis Borgio
- Department of Genetic Research, Institute for Research and Medical Consultations (IRMC), Imam Abdulrahman Bin Faisal University, Dammam 31441, Saudi Arabia
| | - Sayed AbdulAzeez
- Department of Genetic Research, Institute for Research and Medical Consultations (IRMC), Imam Abdulrahman Bin Faisal University, Dammam 31441, Saudi Arabia
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Risk Association of TOX3 and MMP7 Gene Polymorphisms with Sporadic Breast Cancer in Mexican Women. Curr Oncol 2022; 29:1008-1017. [PMID: 35200585 PMCID: PMC8870835 DOI: 10.3390/curroncol29020086] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/08/2021] [Revised: 02/03/2022] [Accepted: 02/05/2022] [Indexed: 01/14/2023] Open
Abstract
Breast cancer (BC) has one of the highest incidences and mortality worldwide. Single nucleotide polymorphisms (SNPs) in TOX3 rs3803662 and MMP7 rs1943779 have been associated with susceptibility to BC. In this case-control study, we evaluated the association of rs3803662 (TOX3)/rs1943779 (MMP7) SNPs with clinical features, immunohistochemical reactivity, and risk association with BC in women from northeastern Mexico. We compared 212 BC cases and 212 controls. DNA was isolated from peripheral blood to perform the polymerase chain reaction-restriction fragment length polymorphism (PCR-RFLP) assay. We calculated genotype frequencies, odds ratios, and 95% confidence intervals. We found that CT (Cytocine-Thymine) and TT (Thymine -Thymine) genotypes, and T alleles of TOX3 rs3803662, were associated with BC risk (p = 0.034, p = 0.011, respectively). SNP TOX3 rs3803662 was associated with positive progesterone receptors (PR) and triple-negative BC (TNBC) but not with estrogen receptor (ER) or HER2 reactivity. CT and TT genotypes (p = 0.006) and T alleles (p = 0.002) of SNP MMP7 rs1943779 were associated with risk of BC. We found that T alleles of TOX3 rs3803662 and MMP7 rs1943779 SNPs are associated with BC risk. These findings contribute to personalized medicine in Mexican women.
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Zhang W, Deng X, Tang R, Wang H. Receptor for advanced glycation end-product rs1800624 polymorphism contributes to increase breast cancer risk: Evidence from a meta-analysis. Medicine (Baltimore) 2020; 99:e22775. [PMID: 33126315 PMCID: PMC7598831 DOI: 10.1097/md.0000000000022775] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/24/2022] Open
Abstract
BACKGROUND Although several studies have identified an association between the receptor for advanced glycation end-product (RAGE) rs1800624 polymorphism and breast cancer, the results have been conflicting. Therefore, we conducted a meta-analysis to assess the relationship between the RAGE rs1800624 polymorphism and breast cancer risk. METHODS Studies were searched in the PubMed, Web of Science, Embase, Wanfang Med Online, and China National Knowledge Infrastructure databases until September 20, 2019 to identify all potential literature on this association. Fixed-effect or random-effect models were used to calculate odds ratios (ORs) and their corresponding 95% confidence intervals (95% CIs). Subgroup and sensitivity analyses and tests for publication bias were also performed. RESULTS Five eligible studies involving 2823 subjects (1410 patients and 1413 healthy controls) were included in the current meta-analysis. The pooled analysis indicated a positive correlation between the RAGE rs1800624 polymorphism and the risk of breast cancer in a homozygous genetic model (OR = 1.423, 95% CI = 1.043-1.941, P = .026). Ethnicity-based subgroup analysis demonstrated that RAGE rs1800624 polymorphism may increase the risk of breast cancer in the Asian population in homozygous model (OR = 1.661, 95% CI = 1.178-2.342, P = .004). CONCLUSION The RAGE rs1800624 polymorphism may increase the risk of breast cancer in the homozygous genetic model, especially in Asian populations. Large-scale and well-designed studies are needed in different populations to further evaluate the role of the RAGE polymorphism in breast cancer.
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Affiliation(s)
| | | | - Ruijun Tang
- Department of Pathology, Guilin TCM Hospital Affiliated to Guangxi University of Chinese Medicine, Guangxi, China
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Huang W, Zhou H, Li Q, Pi L, Xu Y, Fu L, Yang Y, Lu Z, Che D, Gu X. Association between the TOX3 rs3803662 C>T polymorphism and recurrent miscarriage in a southern Chinese population. J Clin Lab Anal 2019; 33:e22992. [PMID: 31454102 PMCID: PMC6868414 DOI: 10.1002/jcla.22992] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/29/2019] [Revised: 07/01/2019] [Accepted: 07/08/2019] [Indexed: 01/09/2023] Open
Abstract
BACKGROUND Studies have shown that some genetic polymorphisms associated with breast cancer susceptibility may also be associated with abortion. The TOX3 gene plays a key role during the onset of breast cancer, and reproductive factors such as abortion are risk factors for breast cancer. However, there is currently no study describing the relationship between the TOX3 rs3803662 C>T polymorphism and the risk of recurrent miscarriage. Therefore, we investigated whether the TOX3 rs3803662 C>T polymorphism is associated with recurrent miscarriage susceptibility in this case-control study. METHODS We recruited 248 recurrent miscarriage patients and 392 healthy controls from the southern Chinese population and performed genotyping using the TaqMan method. RESULTS The results showed no evidence that TOX3 rs3803662 C>T is associated with recurrent miscarriage (CT and CC: corrected OR = 1.038, 95% CI = 0.737-1.461, P = .8321; TT and CC: adjusted OR = 0.989, 95% CI = 0.591-1.656, P = .9659; dominant model: adjusted OR = 1.027, 95% CI = 0.742-1.423, P = .8712; recessive model: adjusted OR = 0.969, 95% CI = 0.600-1.566, P = .8975). CONCLUSION According to this study, the TOX3 rs3803662 C>T polymorphism may not be associated with recurrent miscarriage in the southern Chinese population. A larger multicenter study is needed to confirm the results.
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Affiliation(s)
- Wendong Huang
- Research Center, Maoming People's Hospital, Guangdong, China
| | - Huazhong Zhou
- Department of Clinical Biological Resource Bank, Guangzhou Institute of Pediatrics, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, China
| | - Qisen Li
- Research Center, Maoming People's Hospital, Guangdong, China
| | - Lei Pi
- Department of Clinical Biological Resource Bank, Guangzhou Institute of Pediatrics, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, China
| | - Yufen Xu
- Department of Clinical Biological Resource Bank, Guangzhou Institute of Pediatrics, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, China
| | - LanYan Fu
- Department of Clinical Biological Resource Bank, Guangzhou Institute of Pediatrics, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, China
| | - Yanfang Yang
- Department of Prenatal Diagnosis, Maoming People's Hospital, Maoming, Guangdong, China
| | - Zhaoliang Lu
- Department of Clinical Biological Resource Bank, Guangzhou Institute of Pediatrics, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, China
| | - Di Che
- Department of Clinical Biological Resource Bank, Guangzhou Institute of Pediatrics, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, China
| | - Xiaoqiong Gu
- Department of Clinical Biological Resource Bank, Guangzhou Institute of Pediatrics, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, China.,Department of Clinical Lab, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, China.,Department of Blood Transfusion, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, China
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Zavala VA, Serrano-Gomez SJ, Dutil J, Fejerman L. Genetic Epidemiology of Breast Cancer in Latin America. Genes (Basel) 2019; 10:E153. [PMID: 30781715 PMCID: PMC6410045 DOI: 10.3390/genes10020153] [Citation(s) in RCA: 34] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/19/2018] [Revised: 02/13/2019] [Accepted: 02/14/2019] [Indexed: 12/20/2022] Open
Abstract
The last 10 years witnessed an acceleration of our understanding of what genetic factors underpin the risk of breast cancer. Rare high- and moderate-penetrance variants such as those in the BRCA genes account for a small proportion of the familial risk of breast cancer. Low-penetrance alleles are expected to underlie the remaining heritability. By now, there are about 180 genetic polymorphisms that are associated with risk, most of them of modest effect. In combination, they can be used to identify women at the lowest or highest ends of the risk spectrum, which might lead to more efficient cancer prevention strategies. Most of these variants were discovered in populations of European descent. As a result, we might be failing to discover additional polymorphisms that could explain risk in other groups. This review highlights breast cancer genetic epidemiology studies conducted in Latin America, and summarizes the information that they provide, with special attention to similarities and differences with studies in other populations. It includes studies of common variants, as well as moderate- and high-penetrance variants. In addition, it addresses the gaps that need to be bridged in order to better understand breast cancer genetic risk in Latin America.
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Affiliation(s)
- Valentina A Zavala
- Department of Medicine, Division of General Internal Medicine, University of California San Francisco, San Francisco, CA 94143-1793, USA.
| | - Silvia J Serrano-Gomez
- Grupo de investigación en biología del cáncer, Instituto Nacional de Cancerología, Bogotá 11001000, Colombia.
| | - Julie Dutil
- Cancer Biology Division, Ponce Research Institute, Ponce Health Sciences University, Ponce, PR 00732, USA.
| | - Laura Fejerman
- Department of Medicine, Division of General Internal Medicine, University of California San Francisco, San Francisco, CA 94143-1793, USA.
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Ding W, Xu L, Zhang L, Han Z, Jiang Q, Wang Z, Jin S. Meta-analysis of association between TCF7L2 polymorphism rs7903146 and type 2 diabetes mellitus. BMC MEDICAL GENETICS 2018; 19:38. [PMID: 29514658 PMCID: PMC5842570 DOI: 10.1186/s12881-018-0553-5] [Citation(s) in RCA: 50] [Impact Index Per Article: 7.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 05/01/2017] [Accepted: 02/23/2018] [Indexed: 01/02/2023]
Abstract
BACKGROUND Large scale association studies have found a significant association between type 2 diabetes mellitus (T2DM) and transcription factor 7-like 2 (TCF7L2) polymorphism rs7903146. However, the quality of data varies greatly, as the studies report inconsistent results in different populations. Hence, we perform this meta-analysis to give a more convincing result. METHODS The articles, published from January 1st, 2000 to April 1st, 2017, were identified by searching in PubMed and Google Scholar. A total of 56628 participants (34232 cases and 22396 controls) were included in the meta-analysis. A total of 28 studies were divided into 4 subgroups: Caucasian (10 studies), East Asian (5 studies), South Asian (5 studies) and Others (8 studies). All the data analyses were analyzed by the R package meta. RESULTS The significant association was observed by using the dominant model (OR = 1.41, CI = 1.36 - 1.47, p < 0.0001), recessive model (OR = 1.58, CI = 1.48 - 1.69, p < 0.0001), additive model(CT vs CC) (OR = 1.34, CI = 1.28-1.39, p < 0.0001), additive model(TT vs CC) (OR = 1.81, CI = 1.69-1.94, p < 0.0001)and allele model (OR = 1.35, CI = 1.31-1.39, p < 0.0001). CONCLUSION The meta-analysis suggested that rs7903146 was significantly associated with T2DM in Caucasian, East Asian, South Asian and other ethnicities.
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Affiliation(s)
- Weiyue Ding
- College of Computer Science and Technology, Harbin Engineering University, No.145 Nantong Street, Nangang District, Harbin, 150001 China
| | - Li Xu
- College of Computer Science and Technology, Harbin Engineering University, No.145 Nantong Street, Nangang District, Harbin, 150001 China
| | - Lejun Zhang
- School of Information Engineering, Yangzhou University, No.196, Huayang West Road, Yangzhou, 225127 China
| | - Zhijie Han
- School of Life Science and Technology, Harbin Institute of Technology, No.92 Xidazhi Street, Nangang District, Harbin, 150001 China
| | - Qinghua Jiang
- School of Life Science and Technology, Harbin Institute of Technology, No.92 Xidazhi Street, Nangang District, Harbin, 150001 China
| | - Zhe Wang
- Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education, Jilin University, No.2699, Qianjin Avenue, Qianweinan District, Changchun, 130012 China
| | - Shuilin Jin
- Department of Mathematics, Harbin Institute of Technology, No.92, Xidazhi Street, Nangang District, Harbin, 150001 China
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Goske M, Ramachander VRV, Komaravalli PL, Rahman PF, Rao C, Jahan P. CTLA-4 Genetic Variants (rs11571317 and rs3087243): Role in Susceptibility and Progression of Breast Cancer. World J Oncol 2017; 8:162-170. [PMID: 29147453 PMCID: PMC5687896 DOI: 10.14740/wjon1046w] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/13/2017] [Accepted: 08/21/2017] [Indexed: 02/01/2023] Open
Abstract
Background Dysfunctional regulation at immune checkpoints may lead to escape of the tumor cells and gives a scope to set in the unresolved Breast cancer (BC). The major anti-tumor retort is cell-mediated response which involves T lymphocytes. CTLA-4 (Cytotoxic T lymphocyte associated protein-4) with immune suppressive function and tolerance is associated with various autoimmune diseases and cancers including BC. The present study deals with CTLA-4 gene selected polymorphisms (rs11571317 C/T and rs3087243G/A) to explore their relation with breast cancer susceptibility and progression in BC patients. Methods For the present case-control study, we recruited a total of 570 women which include breast cancer patients and healthy control women from south India. Blood samples were collected, genomic DNA was isolated and genotyped by using PCR-RFLP method, and the data were analysed through suitable statistics. Results We observed a significant association of rs11571317 with BC in our study group, where CC genotype showed a three-fold increased risk towards BC and CT genotype to be protective. In-silico analyses strengthened our observation revealing the abolition of SP1 binding site in the CTLA-4 promoter by the mutant allele T. The CTLA-4 rs3087243 polymorphism showed an association not with the susceptibility but towards the tumor progression, where GG genotype was coupled with reduced tumor growth (OR = 0.01) and GA (OR = 6.2), AA (OR = 3.4) with increased tumor growth. The T-G haplotype was found to confer protection against breast cancer risk while C-A (OR = 3.6) and T-A (OR = 15.8) haplotypes were associated with disease progression. In-silico analysis for rs3087243 revealed change in threshold values between reference and variant sequences. Conclusion The study suggests varied roles of different polymorphisms of CTLA-4 in the aetiopathogenesis of BC. Understanding the mechanism may help in the CTLA-4 based immunotherapy for BC.
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Affiliation(s)
- Maruthi Goske
- Department of Genetics, Osmania University, Hyderabad-07, Telangana, India
| | | | | | - P Fazul Rahman
- Department of Zoology, Maulana Azad National Urdu University, Gachibowli, Hyderabad-32, Telangana, India
| | | | - Parveen Jahan
- Department of Zoology, Maulana Azad National Urdu University, Gachibowli, Hyderabad-32, Telangana, India
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Rs4878104 contributes to Alzheimer’s disease risk and regulates DAPK1 gene expression. Neurol Sci 2017; 38:1255-1262. [DOI: 10.1007/s10072-017-2959-9] [Citation(s) in RCA: 23] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/27/2017] [Accepted: 04/07/2017] [Indexed: 01/03/2023]
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Hu Y, Zheng L, Cheng L, Zhang Y, Bai W, Zhou W, Wang T, Han Z, Zong J, Jin S, Zhang J, Liu G, Jiang Q. GAB2 rs2373115 variant contributes to Alzheimer's disease risk specifically in European population. J Neurol Sci 2017; 375:18-22. [PMID: 28320126 DOI: 10.1016/j.jns.2017.01.030] [Citation(s) in RCA: 25] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/18/2016] [Revised: 01/02/2017] [Accepted: 01/09/2017] [Indexed: 01/01/2023]
Abstract
A genome-wide association study identified GAB2 rs2373115 to be associated with Alzheimer's disease (AD) risk in European population. However, inconsistent results are reported in East Asian population. Here, we performed an updated analysis using 65,704 samples including 20,982 AD cases and 44,722 controls. First, we investigated the GAB2 rs2373115 variant in Asian population using 3974 AD cases and 7568 controls. To further evaluate the effect of rs2373115 in different populations, we selected 17,008 AD cases and 37,154 controls in European population. We used three genetic models, and found no significant heterogeneity in Asian population. A fixed effect model analysis showed no significant association between rs2373115 and AD in Asian population. There was no significant heterogeneity in the pooled East Asian and European populations. The fixed effect model analysis again showed no significant association between rs2373115 and AD in these pooled populations. Taken together, these findings suggest that GAB2 rs2373115 may contribute to AD susceptibility only in European population but not in East Asian population.
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Affiliation(s)
- Yang Hu
- School of Life Science and Technology, Harbin Institute of Technology, Harbin, China
| | - Likun Zheng
- School of Computer and Information Engineering, Harbin University of Commerce, Harbin, China
| | - Liang Cheng
- School of Computer Science and Technology, Harbin Institute of Technology, Harbin, China
| | - Ying Zhang
- Department of pharmacy, Heilongjiang Province Land Reclamation Headquarters General Hospital, Harbin, China
| | - Weiyang Bai
- School of Life Science and Technology, Harbin Institute of Technology, Harbin, China
| | - Wenyang Zhou
- School of Life Science and Technology, Harbin Institute of Technology, Harbin, China
| | - Tao Wang
- School of Life Science and Technology, Harbin Institute of Technology, Harbin, China
| | - Zhifa Han
- School of Life Science and Technology, Harbin Institute of Technology, Harbin, China
| | - Jian Zong
- School of Life Science and Technology, Harbin Institute of Technology, Harbin, China
| | - Shuilin Jin
- Department of Mathematics, Harbin Institute of Technology, Harbin, China
| | - Jun Zhang
- Department of pharmacy, Heilongjiang Province Land Reclamation Headquarters General Hospital, Harbin, China.
| | - Guiyou Liu
- School of Life Science and Technology, Harbin Institute of Technology, Harbin, China.
| | - Qinghua Jiang
- School of Life Science and Technology, Harbin Institute of Technology, Harbin, China.
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