1
|
Almandil NB, Alismail MA, Alsuwat HS, AlSulaiman A, AbdulAzeez S, Borgio JF. Exome-wide analysis identify multiple variations in olfactory receptor genes ( OR12D2 and OR5V1) associated with autism spectrum disorder in Saudi females. Front Med (Lausanne) 2023; 10:1051039. [PMID: 36817779 PMCID: PMC9928728 DOI: 10.3389/fmed.2023.1051039] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/22/2022] [Accepted: 01/13/2023] [Indexed: 02/04/2023] Open
Abstract
Background Autism Spectrum Disorder (ASD) is a multifactorial, neurodevelopmental disorder, characterized by deficits in communication, restricted and repetitive behaviors. ASD is highly heritable in Saudi Arabia; indecencies of affected individuals are increasing. Objectives To identify the most significant genes and SNPs associated with the increased risk of ASD in Saudi females to give an insight for early diagnosis. Methods Pilot case-control study mostly emphasized on the significant SNPs and haplotypes contributing to Saudi females with ASD patients (n = 22) compared to controls (n = 51) without ASD. With the use of allelic association analysis tools, 243,345 SNPs were studied systematically and classified according to their significant association. The significant SNPs and their genes were selected for further investigation for mapping of ASD candidate causal variants and functional impact. Results In females, five risk SNPs at p ≤ 2.32 × 10-05 was identified in association with autism. The most significant exonic variants at chromosome 6p22.1 with olfactory receptor genes (OR12D2 and OR5V1) clustered with high linkage disequilibrium through haplotyping analysis. Comparison between highly associated genes (56 genes) of male and female autistic patients with female autistic samples revealed that 39 genes are unique biomarkers for Saudi females with ASD. Conclusion Multiple variations in olfactory receptor genes (OR5V1 and OR12D2) and single variations on SPHK1, PLCL2, AKAP9 and LOC107984893 genes are contributing to ASD in females of Arab origin. Accumulation of these multiple predisposed coding SNPs can increase the possibility of developing ASD in Saudi females.
Collapse
Affiliation(s)
- Noor B. Almandil
- Department of Clinical Pharmacy Research, Institute for Research and Medical Consultations (IRMC), Imam Abdulrahman Bin Faisal University, Dammam, Saudi Arabia,*Correspondence: Noor B Almandil,
| | - Maram Adnan Alismail
- Department of Genetic Research, Institute for Research and Medical Consultations (IRMC), Imam Abdulrahman Bin Faisal University, Dammam, Saudi Arabia,College of Medicine, Imam Abdulrahman Bin Faisal University, Dammam, Saudi Arabia
| | - Hind Saleh Alsuwat
- Department of Genetic Research, Institute for Research and Medical Consultations (IRMC), Imam Abdulrahman Bin Faisal University, Dammam, Saudi Arabia
| | - Abdulla AlSulaiman
- Department of Neurology, College of Medicine, Imam Abdulrahman Bin Faisal University, Dammam, Saudi Arabia
| | - Sayed AbdulAzeez
- Department of Genetic Research, Institute for Research and Medical Consultations (IRMC), Imam Abdulrahman Bin Faisal University, Dammam, Saudi Arabia
| | - J. Francis Borgio
- Department of Genetic Research, Institute for Research and Medical Consultations (IRMC), Imam Abdulrahman Bin Faisal University, Dammam, Saudi Arabia
| |
Collapse
|
2
|
Liu T, Momin M, Zhou H, Zheng Q, Fan F, Jia J, Liu M, Bao M, Li J, Huo Y, Liu J, Zhang Y, Mao X, Han X, Hu Z, Zeng C, Liu F, Zhang Y. Exome-Wide Association Study Identifies East Asian-Specific Missense Variant MTHFR C136T Influencing Homocysteine Levels in Chinese Populations RH: ExWAS of tHCY in a Chinese Population. Front Genet 2021; 12:717621. [PMID: 34707639 PMCID: PMC8542906 DOI: 10.3389/fgene.2021.717621] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/02/2021] [Accepted: 09/02/2021] [Indexed: 02/01/2023] Open
Abstract
Plasma total homocysteine (tHCY) is a known risk factor of a wide range of complex diseases. No genome scans for tHCY have been conducted in East Asian populations. Here, we conducted an exome-wide association study (ExWAS) for tHCY in 5,175 individuals of Chinese Han origin, followed by a replication study in 668 Chinese individuals. The ExWAS identified two loci, 1p36.22 (lead single-nucleotide polymorphism (SNP) rs1801133, MTHFR C677T) and 16q24.3 (rs1126464, DPEP1), showing exome-wide significant association with tHCY (p < 5E-7); and both loci have been previously associated with tHCY in non-East Asian populations. Both SNPs were replicated in the replication study (p < 0.05). Conditioning on the genotype of C677T and rs1126464, we identified a novel East Asian-specific missense variant rs138189536 (C136T) of MTHFR (p = 6.53E-10), which was also significant in the replication study (p = 9.8E-3). The C136T and C677T variants affect tHCY in a compound heterozygote manner, where compound heterozygote and homozygote genotype carriers had on average 43.4% increased tHCY than had other genotypes. The frequency of the homozygote C677T genotype showed an inverse-U-shaped geospatial pattern globally with a pronounced frequency in northern China, which coincided with the high prevalence of hyperhomocysteinemia (HHCY) in northern China. A logistic regression model of HHCY status considering sex, age, and the genotypes of the three identified variants reached an area under the receiver operating characteristic curve (AUC) value of 0.74 in an independent validation cohort. These genetic observations provide new insights into the presence of multiple causal mutations at the MTHFR locus, highlight the role of genetics in HHCY epidemiology among different populations, and provide candidate loci for future functional studies.
Collapse
Affiliation(s)
- Tianzi Liu
- CAS Key Laboratory of Genomic and Precision Medicine, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing, China.,China National Center for Bioinformation, Beijing, China
| | - Mohetaboer Momin
- Department of Cardiology, Peking University First Hospital, Beijing, China.,Institute of Cardiovascular Disease, Peking University First Hospital, Beijing, China
| | - Huiyue Zhou
- CAS Key Laboratory of Genomic and Precision Medicine, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing, China.,China National Center for Bioinformation, Beijing, China
| | - Qiwen Zheng
- CAS Key Laboratory of Genomic and Precision Medicine, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing, China.,China National Center for Bioinformation, Beijing, China
| | - Fangfang Fan
- Department of Cardiology, Peking University First Hospital, Beijing, China.,Institute of Cardiovascular Disease, Peking University First Hospital, Beijing, China
| | - Jia Jia
- Department of Cardiology, Peking University First Hospital, Beijing, China.,Institute of Cardiovascular Disease, Peking University First Hospital, Beijing, China
| | - Mengyuan Liu
- Department of Cardiology, Peking University First Hospital, Beijing, China.,Institute of Cardiovascular Disease, Peking University First Hospital, Beijing, China
| | - Minghui Bao
- Department of Cardiology, Peking University First Hospital, Beijing, China.,Institute of Cardiovascular Disease, Peking University First Hospital, Beijing, China
| | - Jianping Li
- Department of Cardiology, Peking University First Hospital, Beijing, China.,Institute of Cardiovascular Disease, Peking University First Hospital, Beijing, China
| | - Yong Huo
- Department of Cardiology, Peking University First Hospital, Beijing, China.,Institute of Cardiovascular Disease, Peking University First Hospital, Beijing, China
| | - Jialin Liu
- CAS Key Laboratory of Genomic and Precision Medicine, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing, China.,China National Center for Bioinformation, Beijing, China.,University of Chinese Academy of Sciences, Beijing, China
| | - Yaning Zhang
- CAS Key Laboratory of Genomic and Precision Medicine, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing, China.,China National Center for Bioinformation, Beijing, China.,University of Chinese Academy of Sciences, Beijing, China
| | - Xuemei Mao
- Beijing P4 Healthcare Institute, Beijing, China
| | - Xiao Han
- Beijing P4 Healthcare Institute, Beijing, China
| | - Zhiyuan Hu
- Beijing P4 Healthcare Institute, Beijing, China.,CAS Key Laboratory of Standardization and Measurement for Nanotechnology, CAS Key Laboratory for Biomedical Effects of Nanomaterials and Nanosafety, CAS Center for Excellence in Nanoscience, National Center for Nanoscience and Technology of China, Beijing, China.,School of Nanoscience and Technology, Sino-Danish College, University of Chinese Academy of Sciences, Beijing, China
| | - Changqing Zeng
- CAS Key Laboratory of Genomic and Precision Medicine, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing, China.,China National Center for Bioinformation, Beijing, China.,University of Chinese Academy of Sciences, Beijing, China
| | - Fan Liu
- CAS Key Laboratory of Genomic and Precision Medicine, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing, China.,China National Center for Bioinformation, Beijing, China.,University of Chinese Academy of Sciences, Beijing, China
| | - Yan Zhang
- Department of Cardiology, Peking University First Hospital, Beijing, China.,Institute of Cardiovascular Disease, Peking University First Hospital, Beijing, China
| |
Collapse
|
3
|
Guglielmi C, Scarpitta R, Gambino G, Conti E, Bellè F, Tancredi M, Cervelli T, Falaschi E, Cosini C, Aretini P, Congregati C, Marino M, Patruno M, Pilato B, Spina F, Balestrino L, Tenedini E, Carnevali I, Cortesi L, Tagliafico E, Tibiletti MG, Tommasi S, Ghilli M, Vivanet C, Galli A, Caligo MA. Detection of Germline Variants in 450 Breast/Ovarian Cancer Families with a Multi-Gene Panel Including Coding and Regulatory Regions. Int J Mol Sci 2021; 22:ijms22147693. [PMID: 34299313 PMCID: PMC8305371 DOI: 10.3390/ijms22147693] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/12/2021] [Revised: 07/10/2021] [Accepted: 07/14/2021] [Indexed: 12/24/2022] Open
Abstract
With the progress of sequencing technologies, an ever-increasing number of variants of unknown functional and clinical significance (VUS) have been identified in both coding and non-coding regions of the main Breast Cancer (BC) predisposition genes. The aim of this study is to identify a mutational profile of coding and intron-exon junction regions of 12 moderate penetrance genes (ATM, BRIP1, CDH1, CHEK2, NBN, PALB2, PTEN, RAD50, RAD51C, RAD51D, STK11, TP53) in a cohort of 450 Italian patients with Hereditary Breast/Ovarian Cancer Syndrome, wild type for germline mutation in BRCA1/2 genes. The analysis was extended to 5′UTR and 3′UTR of all the genes listed above and to the BRCA1 and BRCA2 known regulatory regions in a subset of 120 patients. The screening was performed through NGS target resequencing on the Illumina platform MiSeq. 8.7% of the patients analyzed is carriers of class 5/4 coding variants in the ATM (3.6%), BRIP1 (1.6%), CHEK2 (1.8%), PALB2 (0.7%), RAD51C (0.4%), RAD51D (0.4%), and TP53 (0.2%) genes, while variants of uncertain pathological significance (VUSs)/class 3 were identified in 9.1% of the samples. In intron-exon junctions and in regulatory regions, variants were detected respectively in 5.1% and in 32.5% of the cases analyzed. The average age of disease onset of 44.4 in non-coding variant carriers is absolutely similar to the average age of disease onset in coding variant carriers for each proband’s group with the same cancer type. Furthermore, there is not a statistically significant difference in the proportion of cases with a tumor onset under age of 40 between the two groups, but the presence of multiple non-coding variants in the same patient may affect the aggressiveness of the tumor and it is worth underlining that 25% of patients with an aggressive tumor are carriers of a PTEN 3′UTR-variant. This data provides initial information on how important it might be to extend mutational screening to the regulatory regions in clinical practice.
Collapse
Affiliation(s)
- Chiara Guglielmi
- SOD Molecular Genetics, University Hospital of Pisa, 56126 Pisa, Italy; (C.G.); (E.C.); (M.T.); (E.F.); (C.C.)
| | - Rosa Scarpitta
- Division of Pathology, University of Pisa, 56126 Pisa, Italy;
| | - Gaetana Gambino
- Department of Clinical and Experimental Medicine, University of Pisa, 56126 Pisa, Italy;
| | - Eleonora Conti
- SOD Molecular Genetics, University Hospital of Pisa, 56126 Pisa, Italy; (C.G.); (E.C.); (M.T.); (E.F.); (C.C.)
| | - Francesca Bellè
- Functional Genetics and Genomics Laboratory, Institute of Clinical Physiology, IFC-CNR, 56127 Pisa, Italy; (F.B.); (T.C.)
| | - Mariella Tancredi
- SOD Molecular Genetics, University Hospital of Pisa, 56126 Pisa, Italy; (C.G.); (E.C.); (M.T.); (E.F.); (C.C.)
| | - Tiziana Cervelli
- Functional Genetics and Genomics Laboratory, Institute of Clinical Physiology, IFC-CNR, 56127 Pisa, Italy; (F.B.); (T.C.)
| | - Elisabetta Falaschi
- SOD Molecular Genetics, University Hospital of Pisa, 56126 Pisa, Italy; (C.G.); (E.C.); (M.T.); (E.F.); (C.C.)
| | - Cinzia Cosini
- SOD Molecular Genetics, University Hospital of Pisa, 56126 Pisa, Italy; (C.G.); (E.C.); (M.T.); (E.F.); (C.C.)
| | - Paolo Aretini
- Section of Oncological Genomics, Fondazione Pisana per la Scienza, 56017 Pisa, Italy;
| | - Caterina Congregati
- Division of Internal Medicine, University Hospital of Pisa, 56126 Pisa, Italy;
| | - Marco Marino
- Department of Life Sciences, University of Modena and Reggio Emilia, 41125 Modena, Italy; (M.M.); (E.T.); (E.T.)
| | - Margherita Patruno
- IRCCS Istituto Tumori “Giovanni Paolo II”, 70124 Bari, Italy; (M.P.); (B.P.); (S.T.)
| | - Brunella Pilato
- IRCCS Istituto Tumori “Giovanni Paolo II”, 70124 Bari, Italy; (M.P.); (B.P.); (S.T.)
| | - Francesca Spina
- SC Medical Genetics, ASSL Cagliari, 09126 Cagliari, Italy; (F.S.); (L.B.); (C.V.)
| | - Luisa Balestrino
- SC Medical Genetics, ASSL Cagliari, 09126 Cagliari, Italy; (F.S.); (L.B.); (C.V.)
| | - Elena Tenedini
- Department of Life Sciences, University of Modena and Reggio Emilia, 41125 Modena, Italy; (M.M.); (E.T.); (E.T.)
| | - Ileana Carnevali
- Ospedale di Circolo ASST Settelaghi, 21100 Varese, Italy; (I.C.); (M.G.T.)
| | - Laura Cortesi
- Department of Oncology, Haematology and Respiratory Diseases, University Hospital of Modena, 41124 Modena, Italy;
| | - Enrico Tagliafico
- Department of Life Sciences, University of Modena and Reggio Emilia, 41125 Modena, Italy; (M.M.); (E.T.); (E.T.)
| | | | - Stefania Tommasi
- IRCCS Istituto Tumori “Giovanni Paolo II”, 70124 Bari, Italy; (M.P.); (B.P.); (S.T.)
| | - Matteo Ghilli
- Breast Cancer Center, University Hospital, 56126 Pisa, Italy;
| | - Caterina Vivanet
- SC Medical Genetics, ASSL Cagliari, 09126 Cagliari, Italy; (F.S.); (L.B.); (C.V.)
| | - Alvaro Galli
- Functional Genetics and Genomics Laboratory, Institute of Clinical Physiology, IFC-CNR, 56127 Pisa, Italy; (F.B.); (T.C.)
- Correspondence: (A.G.); (M.A.C.)
| | - Maria Adelaide Caligo
- SOD Molecular Genetics, University Hospital of Pisa, 56126 Pisa, Italy; (C.G.); (E.C.); (M.T.); (E.F.); (C.C.)
- Correspondence: (A.G.); (M.A.C.)
| |
Collapse
|
4
|
Zhang DF, Li HL, Zheng Q, Bi R, Xu M, Wang D, Zhu GP, Li YY, Yao YG. Mapping leprosy-associated coding variants of interleukin genes by targeted sequencing. Clin Genet 2021; 99:802-811. [PMID: 33646620 DOI: 10.1111/cge.13945] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/20/2020] [Revised: 01/25/2021] [Accepted: 02/16/2021] [Indexed: 12/30/2022]
Abstract
Previous genotyping-based assays have identified non-coding variants of several interleukins (ILs) being associated with genetic susceptibility to leprosy. However, understanding of the involvement of coding variants within all IL family genes in leprosy was still limited. To obtain the full mutation spectrum of all ILs in leprosy, we performed a targeted deep sequencing of coding regions of 58 ILs genes in 798 leprosy patients (age 56.2 ± 14.4; female 31.5%) and 990 healthy controls (age 38.1 ± 14.0; female 44.3%) from Yunnan, Southwest China. mRNA expression alterations of ILs in leprosy skin lesions or in response to M. leprae treatment were estimated by using publicly available expression datasets. Two coding variants in IL27 (rs17855750, p.S59A, p = 4.02 × 10-8 , odds ratio [OR] = 1.748) and IL1RN (rs45507693, p.A106T, p = 1.45 × 10-5 , OR = 3.629) were significantly associated with leprosy risk. mRNA levels of IL27 and IL1RN were upregulated in whole blood cells after M. leprae stimulation. These data showed that IL27 and IL1RN are leprosy risk genes. Further functional study is required for characterizing the exact role of ILs in leprosy.
Collapse
Affiliation(s)
- Deng-Feng Zhang
- Key Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences & Yunnan Province, KIZ/CUHK Joint Laboratory of Bioresources and Molecular Research in Common Diseases, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, China.,Center for Excellence in Animal Evolution and Genetics, Chinese Academy of Sciences, Kunming, China.,Kunming College of Life Science, University of Chinese Academy of Sciences, Kunming, China
| | - Hui-Long Li
- Key Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences & Yunnan Province, KIZ/CUHK Joint Laboratory of Bioresources and Molecular Research in Common Diseases, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, China.,College of Life Sciences, Anhui Normal University, Wuhu, China
| | - Quanzhen Zheng
- Key Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences & Yunnan Province, KIZ/CUHK Joint Laboratory of Bioresources and Molecular Research in Common Diseases, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, China.,College of Life Sciences, Anhui Normal University, Wuhu, China
| | - Rui Bi
- Key Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences & Yunnan Province, KIZ/CUHK Joint Laboratory of Bioresources and Molecular Research in Common Diseases, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, China.,Kunming College of Life Science, University of Chinese Academy of Sciences, Kunming, China.,Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Shanghai, China
| | - Min Xu
- Key Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences & Yunnan Province, KIZ/CUHK Joint Laboratory of Bioresources and Molecular Research in Common Diseases, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, China.,Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Shanghai, China
| | - Dong Wang
- Key Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences & Yunnan Province, KIZ/CUHK Joint Laboratory of Bioresources and Molecular Research in Common Diseases, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, China
| | - Guo-Ping Zhu
- College of Life Sciences, Anhui Normal University, Wuhu, China
| | - Yu-Ye Li
- Department of Dermatology, the First Affiliated Hospital of Kunming Medical University, Kunming, China
| | - Yong-Gang Yao
- Key Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences & Yunnan Province, KIZ/CUHK Joint Laboratory of Bioresources and Molecular Research in Common Diseases, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, China.,Kunming College of Life Science, University of Chinese Academy of Sciences, Kunming, China.,Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Shanghai, China
| |
Collapse
|
5
|
Chen R, Chen J, Gao C, Wu C, Pan D, Zhang J, Zhou J, Wang K, Zhang Q, Yang Q, Jian X, Zhao Y, Wen Y, Wang Z, Shi Y, Li Z. Association analysis of potentially functional variants within 8p12 with schizophrenia in the Han Chinese population. World J Biol Psychiatry 2021; 22:27-33. [PMID: 32129128 DOI: 10.1080/15622975.2020.1738550] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/24/2022]
Abstract
OBJECTIVES Chromosome 8p12 was first identified as a schizophrenia (SCZ) risk locus in Chinese populations and replicated in European populations. However, the underlying functional variants still need to be further explored. In this study, we sought to identify plausible causal variants within this locus. METHODS A total of 386 potentially functional variants from 29 genes within the 8p12 locus were analysed in 2403 SCZ cases and 2594 control subjects in the Han Chinese population using Affymetrix customised genotyping assays. SHEsisplus was used for association analysis. A multiple testing corrected p value (false discovery rate (FDR)) < .05 was considered significant, and an unadjusted p value < .05 was considered nominal evidence of an association. RESULTS We did not find significant associations between the tested variants and SCZ. However, nominal associations were found for rs201292574 (unadjusted p = .033, FDR p = .571; 95% confidence interval (CI): 0.265-0.945; TACC1, NP_006274.2:p.Ala211Thr) and rs45563241 (unadjusted p = .039, FDR p = .571; 95% CI: 1.023-1.866; a synonymous mutation in ADRB3). CONCLUSIONS Our results provide limited evidence for the associations between variants from protein coding regions in 8p12 and SCZ in the Chinese population. Analyses of both coding and regulatory variants in larger sample sizes are required to further clarify the causal variants for SCZ with this risk locus.
Collapse
Affiliation(s)
- Ruirui Chen
- School of Basic Medicine, Qingdao University, Qingdao, China.,Affiliated Hospital of Qingdao University and Biomedical Sciences Institute of Qingdao University (Qingdao Branch of SJTU Bio-X Institutes), Qingdao University, Qingdao, China
| | - Jianhua Chen
- Bio-X Institutes, Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders (Ministry of Education), Collaborative Innovation Center for Brain Science, Shanghai Jiao Tong University, Shanghai, China
| | - Chengwen Gao
- Affiliated Hospital of Qingdao University and Biomedical Sciences Institute of Qingdao University (Qingdao Branch of SJTU Bio-X Institutes), Qingdao University, Qingdao, China
| | - Chuanhong Wu
- Affiliated Hospital of Qingdao University and Biomedical Sciences Institute of Qingdao University (Qingdao Branch of SJTU Bio-X Institutes), Qingdao University, Qingdao, China
| | - Dun Pan
- Bio-X Institutes, Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders (Ministry of Education), Collaborative Innovation Center for Brain Science, Shanghai Jiao Tong University, Shanghai, China
| | - Jinmai Zhang
- Bio-X Institutes, Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders (Ministry of Education), Collaborative Innovation Center for Brain Science, Shanghai Jiao Tong University, Shanghai, China
| | - Juan Zhou
- Bio-X Institutes, Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders (Ministry of Education), Collaborative Innovation Center for Brain Science, Shanghai Jiao Tong University, Shanghai, China
| | - Ke Wang
- Bio-X Institutes, Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders (Ministry of Education), Collaborative Innovation Center for Brain Science, Shanghai Jiao Tong University, Shanghai, China
| | - Qian Zhang
- Affiliated Hospital of Qingdao University and Biomedical Sciences Institute of Qingdao University (Qingdao Branch of SJTU Bio-X Institutes), Qingdao University, Qingdao, China
| | - Qiangzhen Yang
- Bio-X Institutes, Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders (Ministry of Education), Collaborative Innovation Center for Brain Science, Shanghai Jiao Tong University, Shanghai, China
| | - Xuemin Jian
- Bio-X Institutes, Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders (Ministry of Education), Collaborative Innovation Center for Brain Science, Shanghai Jiao Tong University, Shanghai, China
| | - Yalin Zhao
- School of Basic Medicine, Qingdao University, Qingdao, China.,Affiliated Hospital of Qingdao University and Biomedical Sciences Institute of Qingdao University (Qingdao Branch of SJTU Bio-X Institutes), Qingdao University, Qingdao, China
| | - Yanqin Wen
- Bio-X Institutes, Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders (Ministry of Education), Collaborative Innovation Center for Brain Science, Shanghai Jiao Tong University, Shanghai, China
| | - Zhuo Wang
- Bio-X Institutes, Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders (Ministry of Education), Collaborative Innovation Center for Brain Science, Shanghai Jiao Tong University, Shanghai, China
| | - Yongyong Shi
- School of Basic Medicine, Qingdao University, Qingdao, China.,Affiliated Hospital of Qingdao University and Biomedical Sciences Institute of Qingdao University (Qingdao Branch of SJTU Bio-X Institutes), Qingdao University, Qingdao, China.,Bio-X Institutes, Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders (Ministry of Education), Collaborative Innovation Center for Brain Science, Shanghai Jiao Tong University, Shanghai, China.,Institute of Social Cognitive and Behavioral Sciences, Shanghai Jiao Tong University, Shanghai, China.,Institute of Neuropsychiatric Science and Systems Biological Medicine, Shanghai Jiao Tong University, Shanghai, China
| | - Zhiqiang Li
- School of Basic Medicine, Qingdao University, Qingdao, China.,Affiliated Hospital of Qingdao University and Biomedical Sciences Institute of Qingdao University (Qingdao Branch of SJTU Bio-X Institutes), Qingdao University, Qingdao, China.,Bio-X Institutes, Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders (Ministry of Education), Collaborative Innovation Center for Brain Science, Shanghai Jiao Tong University, Shanghai, China.,Institute of Social Cognitive and Behavioral Sciences, Shanghai Jiao Tong University, Shanghai, China.,Institute of Neuropsychiatric Science and Systems Biological Medicine, Shanghai Jiao Tong University, Shanghai, China
| |
Collapse
|
6
|
Zhao Y, Yun D, Zou X, Jiang T, Li G, Hu L, Chen J, Xu J, Mao Y, Chen H, Lu D. Whole exome-wide association study identifies a missense variant in SLC2A4RG associated with glioblastoma risk. Am J Cancer Res 2017; 7:1937-1947. [PMID: 28979815 PMCID: PMC5622227] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/01/2017] [Accepted: 08/04/2017] [Indexed: 06/07/2023] Open
Abstract
In this study, we conducted a genome-wide scan of single nucleotide polymorphisms (SNPs) to identify coding variants that is associated with the risk of glioblastoma (GBM), the most common and most malignant subtype of glioma. We genotyped 1038 GBM cases and 1008 controls in a Chinese Han population using Illumina HumanExome Beadchip v1.0. A missense variant, rs8957 (E[GAG]233D[GAU], SLC2A4RG, 20q13.33), was found being associated with GBM risk, with an odd ratio (OR) of 1.43 (95% confidence interval (CI) = 1.25-1.64, P = 1.72E-07). The G>T transversion at rs8957 leading to changes of subcellular localization of SLC2A4RG, possibly due to the impairment of its nuclear export signal or protein folding. Moreover, the amino acid substitution compromised the function of SLC2A4RG as a cancer suppressor by promoting cell growth through de-inhibition of CDK1 in U87 and U251 cell lines. These results suggest SLC2A4RG plays an important role in the etiology of GBM and may be a potential therapeutic target.
Collapse
Affiliation(s)
- Yingjie Zhao
- State Key Laboratory of Genetic Engineering and MOE Key Laboratory of Contemporary Anthropology, School of Life Sciences, Fudan UniversityShanghai 200438, China
| | - Dapeng Yun
- State Key Laboratory of Genetic Engineering and MOE Key Laboratory of Contemporary Anthropology, School of Life Sciences, Fudan UniversityShanghai 200438, China
| | - Xiang Zou
- Department of Neurosurgery, Huashan Hospital, Fudan UniversityShanghai 200040, China
| | - Tao Jiang
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical UniversityBeijing 100050, China
| | - Gang Li
- Department of Neurosurgery, Tangdu Hospital, The Fourth Military Medical UniversityXi’an 710038, China
| | - Lingna Hu
- State Key Laboratory of Genetic Engineering and MOE Key Laboratory of Contemporary Anthropology, School of Life Sciences, Fudan UniversityShanghai 200438, China
| | - Juxiang Chen
- Department of Neurosurgery, Shanghai Institute of Neurosurgery, Changzheng Hospital, Second Military Medical UniversityShanghai 200003, China
| | - Jianfeng Xu
- Center for Genomic Translational Medicine and Prevention, Fudan School of Public Health, Fudan UniversityShanghai 200032, China
| | - Ying Mao
- Department of Neurosurgery, Huashan Hospital, Fudan UniversityShanghai 200040, China
| | - Hongyan Chen
- State Key Laboratory of Genetic Engineering and MOE Key Laboratory of Contemporary Anthropology, School of Life Sciences, Fudan UniversityShanghai 200438, China
| | - Daru Lu
- State Key Laboratory of Genetic Engineering and MOE Key Laboratory of Contemporary Anthropology, School of Life Sciences, Fudan UniversityShanghai 200438, China
| |
Collapse
|