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Zhang X, Hou G, Li F, Zheng X, Nie Q, Song G. SLC2A9 rs1014290 Polymorphism is Associated with Prediabetes and Type 2 Diabetes. Int J Endocrinol 2022; 2022:4947684. [PMID: 36545489 PMCID: PMC9763018 DOI: 10.1155/2022/4947684] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/01/2022] [Revised: 11/17/2022] [Accepted: 11/29/2022] [Indexed: 12/15/2022] Open
Abstract
PURPOSE To investigate the association of the A/G rs1014290 polymorphism in SLC2A9 with type 2 diabetes (T2DM) and prediabetes mellitus (pre-DM). Patients and Methods. We enrolled 1058 patients who attended the Hebei General Hospital, Shijiazhuang, Hebei Province, China. The patients underwent general testing and oral glucose tolerance tests and were divided into three groups: 352 patients newly diagnosed with T2DM, 358 patients with pre-DM, and 348 healthy controls. The single nucleotide polymorphism (SNP) was detected by ligase detection reactions. The χ 2 test, one-way ANOVA, and binary logistic regression analysis were used to analyze the results. RESULTS In the T2DM group, the GG genotype frequency at the rs1014290 locus was significantly lower (14.8%) than it was in the healthy controls. Furthermore, the GG genotype group was associated with a reduced risk of T2DM in unadjusted and confounder-adjusted models compared with the risk in the AA genotype group. The G allele in the SLC2A9 rs1014290 locus decreased susceptibility to T2DM. In the pre-DM group, the GG and AG genotype groups had no significant correlation with the risk of pre-DM in any of the models. In the T2DM group, the uric acid level was significantly lower in the GG genotype group. In the T2DM and pre-DM groups, the HOMA-β levels were significantly higher in the GA (P < 0.001) and GG (P < 0.001) genotype groups than it was in the AA genotype group, and HOMA-IR was significantly lower in the GA (P < 0.001) and GG (P < 0.001) genotype groups than it was in the AA genotype group. CONCLUSION The A/G (rs1014290) SNP in SLC2A9 is closely related to the occurrence and development of diabetes.
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Affiliation(s)
- Xuemei Zhang
- Department of Rheumatism and Immunology, Hebei General Hospital, 348 Heping West Road, Shijiazhuang, Hebei 050000, China
| | - Guangsen Hou
- Department of Geriatric, Affiliated Hospital of Hebei Engineering University, 81 Congtai Road, Handan, Hebei 056000, China
| | - Fang Li
- Department of Rheumatism and Immunology, Hebei General Hospital, 348 Heping West Road, Shijiazhuang, Hebei 050000, China
| | - Xiao Zheng
- Department of Rheumatism and Immunology, Hebei General Hospital, 348 Heping West Road, Shijiazhuang, Hebei 050000, China
| | - Qian Nie
- Physical Examination Center, Hebei General Hospital, 348 Heping West Road, Shijiazhuang, Hebei 050000, China
| | - Guangyao Song
- Hebei Key Laboratory of Metabolic Diseases, Hebei General Hospital, 348 Heping West Road, Shijiazhuang, Hebei 050000, China
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Wu J, Ma C, Yi J, Chen Y, Ye A, Kong L, Qiu L, Xu T. Analysis of gender-specific associations between aldehyde dehydrogenase 2 ( ALDH2) rs671 genetic polymorphisms and serum uric acid levels in Han Chinese. ANNALS OF TRANSLATIONAL MEDICINE 2021; 9:772. [PMID: 34268385 PMCID: PMC8246195 DOI: 10.21037/atm-20-7113] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 10/25/2020] [Accepted: 02/28/2021] [Indexed: 11/22/2022]
Abstract
Background Serum uric acid (SUA) is influenced by lifestyle and genetics, and unbalanced SUA levels are linked to various common disorders. While the aldehyde dehydrogenase 2 (ALDH2) rs671 polymorphism appears to be associated with SUA levels, the evidence remains inconclusive. The aim of this study was to examine the distribution of the ALDH2 rs671 polymorphism among Han Chinese in Beijing and determine the association between this polymorphism and SUA. Methods A total of 6,461 randomized healthy individuals were included in the study. Biochemical indicators were tested and ALDH2 rs671 polymorphism testing was conducted for subjects enrolled in the study. The distribution of the ALDH2 rs671 polymorphism and the relationship between genotype and the levels of serum lipids and uric acid (UA) were analyzed. Results The ALDH2 rs671 genotype frequencies were 68.1% (G/G), 29.3% (G/A), and 2.6% (A/A). There was no significant difference in allele distribution between males and females. In males, different ALDH2 genotypes exhibited significant differences in several biochemical analytes, including body mass index (BMI), blood glucose (Glu), total cholesterol (TC), high-density lipoprotein cholesterol (HDL-C), UA, glutamyl transpeptidase (GGT), and creatinine (Cr) (P<0.05). No such differences were found in females. SUA levels in G/A and A/A-carrying males were significantly lower than those of G/G-carrying males. The effect of the ALDH2 polymorphism on UA was still significant after further adjustment for factors including BMI, Glu, TC, HDL-C, Cr, and GGT. Conclusions The ALDH2 polymorphism is related to SUA in Beijing males, and A allele-carrying males have lower SUA levels.
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Affiliation(s)
- Jie Wu
- Department of Laboratory Medicine, Peking Union Medical College Hospital, Peking Union Medical College & Chinese Academy of Medical Science, Beijing, China
| | - Chaochao Ma
- Department of Laboratory Medicine, Peking Union Medical College Hospital, Peking Union Medical College & Chinese Academy of Medical Science, Beijing, China
| | - Jie Yi
- Department of Laboratory Medicine, Peking Union Medical College Hospital, Peking Union Medical College & Chinese Academy of Medical Science, Beijing, China
| | - Yu Chen
- Department of Laboratory Medicine, Peking Union Medical College Hospital, Peking Union Medical College & Chinese Academy of Medical Science, Beijing, China
| | - Ali Ye
- Department of Laboratory Medicine, Peking Union Medical College Hospital, Peking Union Medical College & Chinese Academy of Medical Science, Beijing, China
| | - Lingjun Kong
- Department of Laboratory Medicine, Peking Union Medical College Hospital, Peking Union Medical College & Chinese Academy of Medical Science, Beijing, China
| | - Ling Qiu
- Department of Laboratory Medicine, Peking Union Medical College Hospital, Peking Union Medical College & Chinese Academy of Medical Science, Beijing, China
| | - Tengda Xu
- Department of Health Care, Peking Union Medical College and Chinese Academy of Medical Science, Beijing, China
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Roman YM, Lor K, Xiong T, Culhane-Pera K, Straka RJ. Gout prevalence in the Hmong: a prime example of health disparity and the role of community-based genetic research. Per Med 2021; 18:311-327. [PMID: 33787318 DOI: 10.2217/pme-2020-0107] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/22/2022]
Abstract
Individuals of distinct Asian backgrounds are commonly aggregated as Asian, which could mask the differences in the etiology and prevalence of health conditions in the different Asian subgroups. The Hmong are a growing Asian subgroup in the United States with a higher prevalence of gout and gout-related comorbidities than non-Hmong. Genetic explorations in the Hmong suggest a higher prevalence of genetic polymorphisms associated with an increased risk of hyperuricemia and gout. History of immigration, acculturation, lifestyle factors, including dietary and social behavioral patterns, and the use of traditional medicines in the Hmong community may also increase the risk of developing gout and lead to poor gout management outcomes. Engaging minorities such as the Hmong population in biomedical research is a needed step to reduce the burden of health disparities within their respective communities, increase diversity in genomic studies, and accelerate the adoption of precision medicine to clinical practice.
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Affiliation(s)
- Youssef M Roman
- Assistant Professor, Virginia Commonwealth University, School of Pharmacy, Richmond, Virginia 23298, USA
| | - Kajua Lor
- Associate Professor & Chair, Medical College of Wisconsin, School of Pharmacy, 8701 W Watertown Plank Rd, Milwaukee, WI 53226, USA
| | - Txia Xiong
- Clinical Pharmacist, West Side Community Health Services, St. Paul, MN 55106, USA
| | | | - Robert J Straka
- Professor & Department Head, University of Minnesota College of Pharmacy, Minneapolis, Minnesota 55455, USA
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Sallah N, Miley W, Labo N, Carstensen T, Fatumo S, Gurdasani D, Pollard MO, Dilthey AT, Mentzer AJ, Marshall V, Cornejo Castro EM, Pomilla C, Young EH, Asiki G, Hibberd ML, Sandhu M, Kellam P, Newton R, Whitby D, Barroso I. Distinct genetic architectures and environmental factors associate with host response to the γ2-herpesvirus infections. Nat Commun 2020; 11:3849. [PMID: 32737300 PMCID: PMC7395761 DOI: 10.1038/s41467-020-17696-2] [Citation(s) in RCA: 21] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/02/2019] [Accepted: 07/13/2020] [Indexed: 01/05/2023] Open
Abstract
Kaposi's sarcoma-associated herpesvirus (KSHV) and Epstein-Barr Virus (EBV) establish life-long infections and are associated with malignancies. Striking geographic variation in incidence and the fact that virus alone is insufficient to cause disease, suggests other co-factors are involved. Here we present epidemiological analysis and genome-wide association study (GWAS) in 4365 individuals from an African population cohort, to assess the influence of host genetic and non-genetic factors on virus antibody responses. EBV/KSHV co-infection (OR = 5.71(1.58-7.12)), HIV positivity (OR = 2.22(1.32-3.73)) and living in a more rural area (OR = 1.38(1.01-1.89)) are strongly associated with immunogenicity. GWAS reveals associations with KSHV antibody response in the HLA-B/C region (p = 6.64 × 10-09). For EBV, associations are identified for VCA (rs71542439, p = 1.15 × 10-12). Human leucocyte antigen (HLA) and trans-ancestry fine-mapping substantiate that distinct variants in HLA-DQA1 (p = 5.24 × 10-44) are driving associations for EBNA-1 in Africa. This study highlights complex interactions between KSHV and EBV, in addition to distinct genetic architectures resulting in important differences in pathogenesis and transmission.
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MESH Headings
- Adolescent
- Adult
- Antibodies, Viral/biosynthesis
- Antigens, Viral/genetics
- Antigens, Viral/immunology
- Capsid Proteins/genetics
- Capsid Proteins/immunology
- Coinfection
- Disease Resistance/genetics
- Epstein-Barr Virus Infections/epidemiology
- Epstein-Barr Virus Infections/genetics
- Epstein-Barr Virus Infections/immunology
- Epstein-Barr Virus Infections/virology
- Epstein-Barr Virus Nuclear Antigens/genetics
- Epstein-Barr Virus Nuclear Antigens/immunology
- Female
- Gene Expression
- Genome-Wide Association Study
- HIV/genetics
- HIV/immunology
- HIV/pathogenicity
- HLA-DQ alpha-Chains/genetics
- HLA-DQ alpha-Chains/immunology
- Henipavirus Infections/epidemiology
- Henipavirus Infections/genetics
- Henipavirus Infections/immunology
- Henipavirus Infections/virology
- Herpesvirus 4, Human/genetics
- Herpesvirus 4, Human/immunology
- Herpesvirus 4, Human/pathogenicity
- Herpesvirus 8, Human/genetics
- Herpesvirus 8, Human/immunology
- Herpesvirus 8, Human/pathogenicity
- Host-Pathogen Interactions/genetics
- Host-Pathogen Interactions/immunology
- Humans
- Incidence
- Male
- Middle Aged
- Rural Population
- Sarcoma, Kaposi/epidemiology
- Sarcoma, Kaposi/genetics
- Sarcoma, Kaposi/immunology
- Sarcoma, Kaposi/virology
- Uganda/epidemiology
- Urban Population
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Affiliation(s)
- Neneh Sallah
- The Wellcome Sanger Institute, Wellcome Genome Campus, Cambridge, UK.
- London School of Hygiene & Tropical Medicine, London, UK.
- London School of Hygiene & Tropical Medicine, London, UK.
| | - Wendell Miley
- Viral Oncology Section, AIDS and Cancer Virus Program, Frederick National Laboratory for Cancer Research, Leidos Biomedical Research Inc., Frederick, MD, USA
| | - Nazzarena Labo
- Viral Oncology Section, AIDS and Cancer Virus Program, Frederick National Laboratory for Cancer Research, Leidos Biomedical Research Inc., Frederick, MD, USA
| | - Tommy Carstensen
- The Wellcome Sanger Institute, Wellcome Genome Campus, Cambridge, UK
- Department of Medicine, University of Cambridge, Cambridge, UK
| | - Segun Fatumo
- The Wellcome Sanger Institute, Wellcome Genome Campus, Cambridge, UK
- London School of Hygiene & Tropical Medicine, London, UK
- MRC/UVRI at the London School of Hygiene & Tropical Medicine, Entebbe, Uganda
| | - Deepti Gurdasani
- The Wellcome Sanger Institute, Wellcome Genome Campus, Cambridge, UK
- Queen Mary University London, London, UK
| | - Martin O Pollard
- The Wellcome Sanger Institute, Wellcome Genome Campus, Cambridge, UK
- Department of Medicine, University of Cambridge, Cambridge, UK
| | - Alexander T Dilthey
- Institute of Medical Microbiology and Hospital Hygiene, Heinrich Heine University Düsseldorf, 40225, Düsseldorf, Germany
| | - Alexander J Mentzer
- Wellcome Centre for Human Genetics, University of Oxford, Oxford, UK
- Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, University of Oxford, Oxford, UK
| | - Vickie Marshall
- Viral Oncology Section, AIDS and Cancer Virus Program, Frederick National Laboratory for Cancer Research, Leidos Biomedical Research Inc., Frederick, MD, USA
| | - Elena M Cornejo Castro
- Viral Oncology Section, AIDS and Cancer Virus Program, Frederick National Laboratory for Cancer Research, Leidos Biomedical Research Inc., Frederick, MD, USA
| | - Cristina Pomilla
- The Wellcome Sanger Institute, Wellcome Genome Campus, Cambridge, UK
- Department of Medicine, University of Cambridge, Cambridge, UK
| | - Elizabeth H Young
- The Wellcome Sanger Institute, Wellcome Genome Campus, Cambridge, UK
- Department of Medicine, University of Cambridge, Cambridge, UK
| | - Gershim Asiki
- African Population and Health Research Center, Nairobi, Kenya
| | | | | | - Paul Kellam
- Department of Infectious Diseases, Imperial College London, London, UK
- Kymab Ltd, Babraham Research Complex, Cambridge, UK
| | - Robert Newton
- MRC/UVRI at the London School of Hygiene & Tropical Medicine, Entebbe, Uganda
| | - Denise Whitby
- Viral Oncology Section, AIDS and Cancer Virus Program, Frederick National Laboratory for Cancer Research, Leidos Biomedical Research Inc., Frederick, MD, USA
| | - Inês Barroso
- The Wellcome Sanger Institute, Wellcome Genome Campus, Cambridge, UK.
- MRC Epidemiology Unit, University of Cambridge, Cambridge, UK.
- Exeter Centre of ExcEllence in Diabetes (ExCEED), University of Exeter Medical School, Exeter, UK.
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Toro Ospina AM, Silva Faria RA, Vercesi Filho AE, Cyrillo JNDSG, Zerlotti Mercadante ME, Curi RA, Vasconcelos Silva JA. Genome‐wide identification of runs of homozygosity islands in the Gyr breed (
Bos indicus
). Reprod Domest Anim 2020; 55:333-342. [DOI: 10.1111/rda.13639] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/03/2019] [Accepted: 12/29/2019] [Indexed: 01/19/2023]
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Chen G, Shriner D, Doumatey AP, Zhou J, Bentley AR, Lei L, Adeyemo A, Rotimi CN. Refining genome-wide associated loci for serum uric acid in individuals with African ancestry. Hum Mol Genet 2020; 29:506-514. [PMID: 31841133 PMCID: PMC7015846 DOI: 10.1093/hmg/ddz272] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/25/2019] [Revised: 10/31/2019] [Accepted: 11/05/2019] [Indexed: 01/11/2023] Open
Abstract
OBJECTIVE Serum uric acid is the end-product of purine metabolism and at high levels is a risk factor for several human diseases including gout and cardiovascular disease. Heritability estimates range from 0.32 to 0.63. Genome-wide association studies (GWAS) provide an unbiased approach to identify loci influencing serum uric acid. Here, we performed the first GWAS for serum uric acid in continental Africans, with replication in African Americans. METHODS Africans (n = 4126) and African Americans (n = 5007) were genotyped on high-density GWAS arrays. Efficient mixed model association, a variance component approach, was used to perform association testing for a total of ~ 18 million autosomal genotyped and imputed variants. CAVIARBF was used to fine map significant regions. RESULTS We identified two genome-wide significant loci: 4p16.1 (SLC2A9) and 11q13.1 (SLC22A12). At SLC2A9, the most strongly associated SNP was rs7683856 (P = 1.60 × 10-44). Conditional analysis revealed a second signal indexed by rs6838021 (P = 5.75 × 10-17). Gene expression and regulatory motif data prioritized a single-candidate causal variant for each signal. At SLC22A12, the most strongly associated SNP was rs147647315 (P = 6.65 × 10-25). Conditional analysis and functional annotation prioritized the missense variant rs147647315 (R (Arg) > H (His)) as the sole causal variant. Functional annotation of these three signals implicated processes in skeletal muscle, subcutaneous adipose tissue and the kidneys, respectively. CONCLUSIONS This first GWAS of serum uric acid in continental Africans identified three associations at two loci, SLC2A9 and SLC22A12. The combination of weak linkage disequilibrium in Africans and functional annotation led to the identification of candidate causal SNPs for all three signals. Each candidate causal variant implicated a different cell type. Collectively, the three associations accounted for 4.3% of the variance of serum uric acid.
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Affiliation(s)
- Guanjie Chen
- Center for Research on Genomics and Global Health, National Human Genome Research Institute, Bethesda, MD 20892, USA
| | - Daniel Shriner
- Center for Research on Genomics and Global Health, National Human Genome Research Institute, Bethesda, MD 20892, USA
| | - Ayo P Doumatey
- Center for Research on Genomics and Global Health, National Human Genome Research Institute, Bethesda, MD 20892, USA
| | - Jie Zhou
- Center for Research on Genomics and Global Health, National Human Genome Research Institute, Bethesda, MD 20892, USA
| | - Amy R Bentley
- Center for Research on Genomics and Global Health, National Human Genome Research Institute, Bethesda, MD 20892, USA
| | - Lin Lei
- Center for Research on Genomics and Global Health, National Human Genome Research Institute, Bethesda, MD 20892, USA
| | - Adebowale Adeyemo
- Center for Research on Genomics and Global Health, National Human Genome Research Institute, Bethesda, MD 20892, USA
| | - Charles N Rotimi
- Center for Research on Genomics and Global Health, National Human Genome Research Institute, Bethesda, MD 20892, USA
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Chittoor G, Haack K, Balakrishnan P, Bizon C, Laston S, Best LG, MacCluer JW, North KE, Umans JG, Franceschini N, Prasad G, Macias-Kauffer L, Villarreal-Molina T, Bharadwaj D, Canizales-Quinteros S, Navas-Acien A, Cole SA, Voruganti VS. Fine mapping and identification of serum urate loci in American Indians: The Strong Heart Family Study. Sci Rep 2019; 9:17899. [PMID: 31784582 PMCID: PMC6884539 DOI: 10.1038/s41598-019-52924-w] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/23/2019] [Accepted: 10/12/2019] [Indexed: 02/07/2023] Open
Abstract
While studies have reported genetic loci affecting serum urate (SU) concentrations, few studies have been conducted in minority populations. Our objective for this study was to identify genetic loci regulating SU in a multigenerational family-based cohort of American Indians, the Strong Heart Family Study (SHFS). We genotyped 162,718 single nucleotide polymorphisms (SNPs) in 2000 SHFS participants using an Illumina MetaboChip array. A genome-wide association analysis of SU was conducted using measured genotype analysis approach accounting for kinships in SOLAR, and meta-analysis in METAL. Our results showed strong association of SU with rs4481233, rs9998811, rs7696092 and rs13145758 (minor allele frequency (MAF) = 25-44%; P < 3 × 10-14) of solute carrier family 2, member 9 (SLC2A9) and rs41481455, rs2231142 and rs1481012 (MAF = 29%; p < 3 × 10-9) of ATP-binding cassette protein, subfamily G, member 2 (ABCG2). Carriers of G alleles of rs9998811, rs4148155 and rs1481012 and A alleles of rs4481233, rs7696092 and rs13145758 and rs2231142 had lower SU concentrations as compared to non-carriers. Genetic analysis of SU conditional on significant SLC2A9 and ABCG2 SNPs revealed new loci, nucleobindin 1 (NUCB1) and neuronal PAS domain protein 4 (NPAS4) (p <6× 10-6). To identify American Indian-specific SNPs, we conducted targeted sequencing of key regions of SLC2A9. A total of 233 SNPs were identified of which 89 were strongly associated with SU (p < 7.1 × 10-10) and 117 were American Indian specific. Analysis of key SNPs in cohorts of Mexican-mestizos, European, Indian and East Asian ancestries showed replication of common SNPs, including our lead SNPs. Our results demonstrate the association of SU with uric acid transporters in a minority population of American Indians and potential novel associations of SU with neuronal-related genes which warrant further investigation.
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Affiliation(s)
- Geetha Chittoor
- Department of Nutrition, and UNC Nutrition Research Institute, University of North Carolina at Chapel Hill, Kannapolis, NC, USA
- Biomedical and Translational Informatics, Geisinger, Danville, PA, USA
| | - Karin Haack
- Population Health Program, Texas Biomedical Research Institute, San Antonio, TX, USA
| | - Poojitha Balakrishnan
- Department of Environmental Health Sciences, Columbia University Mailman School of Public Health, New York, New York, USA
| | - Christopher Bizon
- Renaissance Computing Institute, University of North Carolina, Chapel Hill, NC, USA
| | - Sandra Laston
- South Texas Diabetes and Obesity Institute, School of Medicine, University of Texas Rio Grande Valley, Brownsville, TX, USA
| | - Lyle G Best
- Missouri Breaks Industries Research Inc., Eagle Butte, SD, USA
| | - Jean W MacCluer
- Population Health Program, Texas Biomedical Research Institute, San Antonio, TX, USA
| | - Kari E North
- Department of Epidemiology, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Jason G Umans
- Medstar Health Research Institute, Hyattsville, MD, USA
| | - Nora Franceschini
- Department of Epidemiology, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Gauri Prasad
- Genomics and Molecular Medicine Unit, CSIR-Institute of Genomics and Integrative Biology, New Delhi, 110 020, India
- Academy of Scientific and Innovative Research, CSIR-Institute of Genomics and Integrative Biology Campus, New Delhi, 110 020, India
| | - Luis Macias-Kauffer
- Laboratorio de Enfermedades Cardiovasculares, INMEGEN, Mexico City, 14610, Mexico
| | | | - Dwaipayan Bharadwaj
- Academy of Scientific and Innovative Research, CSIR-Institute of Genomics and Integrative Biology Campus, New Delhi, 110 020, India
- Systems Genomics Laboratory, School of Biotechnology, Jawaharlal Nehru University, New Delhi, 110 067, India
| | - Samuel Canizales-Quinteros
- Unidad de Genomica de Poblaciones Aplicada a la Salud Facultad de Quimica, UNAM-Instituto Nacional de Medicina Genomica, Mexico City, Mexico
| | - Ana Navas-Acien
- Department of Environmental Health Sciences, Columbia University Mailman School of Public Health, New York, New York, USA
| | - Shelley A Cole
- Population Health Program, Texas Biomedical Research Institute, San Antonio, TX, USA
| | - V S Voruganti
- Department of Nutrition, and UNC Nutrition Research Institute, University of North Carolina at Chapel Hill, Kannapolis, NC, USA.
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9
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Major TJ, Dalbeth N, Stahl EA, Merriman TR. An update on the genetics of hyperuricaemia and gout. Nat Rev Rheumatol 2019; 14:341-353. [PMID: 29740155 DOI: 10.1038/s41584-018-0004-x] [Citation(s) in RCA: 166] [Impact Index Per Article: 27.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/15/2022]
Abstract
A central aspect of the pathogenesis of gout is elevated urate concentrations, which lead to the formation of monosodium urate crystals. The clinical features of gout result from an individual's immune response to these deposited crystals. Genome-wide association studies (GWAS) have confirmed the importance of urate excretion in the control of serum urate levels and the risk of gout and have identified the kidneys, the gut and the liver as sites of urate regulation. The genetic contribution to the progression from hyperuricaemia to gout remains relatively poorly understood, although genes encoding proteins that are involved in the NLRP3 (NOD-, LRR- and pyrin domain-containing 3) inflammasome pathway play a part. Genome-wide and targeted sequencing is beginning to identify uncommon population-specific variants that are associated with urate levels and gout. Mendelian randomization studies using urate-associated genetic variants as unconfounded surrogates for lifelong urate exposure have not supported claims that urate is causal for metabolic conditions that are comorbidities of hyperuricaemia and gout. Genetic studies have also identified genetic variants that predict responsiveness to therapies (for example, urate-lowering drugs) for treatment of hyperuricaemia. Future research should focus on large GWAS (that include asymptomatic hyperuricaemic individuals) and on increasing the use of whole-genome sequencing data to identify uncommon genetic variants with increased penetrance that might provide opportunities for clinical translation.
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Affiliation(s)
- Tanya J Major
- Department of Biochemistry, University of Otago, Dunedin, New Zealand
| | - Nicola Dalbeth
- Department of Medicine, University of Auckland, Auckland, New Zealand
| | - Eli A Stahl
- Institute for Genomics and Multiscale Biology, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Tony R Merriman
- Department of Biochemistry, University of Otago, Dunedin, New Zealand.
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Hellwege JN, Stallings S, Torstenson ES, Carroll R, Borthwick KM, Brilliant MH, Crosslin D, Gordon A, Hripcsak G, Jarvik GP, Linneman JG, Devi P, Peissig PL, Sleiman PAM, Hakonarson H, Ritchie MD, Verma SS, Shang N, Denny JC, Roden DM, Velez Edwards DR, Edwards TL. Heritability and genome-wide association study of benign prostatic hyperplasia (BPH) in the eMERGE network. Sci Rep 2019; 9:6077. [PMID: 30988330 PMCID: PMC6465359 DOI: 10.1038/s41598-019-42427-z] [Citation(s) in RCA: 20] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/22/2018] [Accepted: 03/27/2019] [Indexed: 02/07/2023] Open
Abstract
Benign prostatic hyperplasia (BPH) results in a significant public health burden due to the morbidity caused by the disease and many of the available remedies. As much as 70% of men over 70 will develop BPH. Few studies have been conducted to discover the genetic determinants of BPH risk. Understanding the biological basis for this condition may provide necessary insight for development of novel pharmaceutical therapies or risk prediction. We have evaluated SNP-based heritability of BPH in two cohorts and conducted a genome-wide association study (GWAS) of BPH risk using 2,656 cases and 7,763 controls identified from the Electronic Medical Records and Genomics (eMERGE) network. SNP-based heritability estimates suggest that roughly 60% of the phenotypic variation in BPH is accounted for by genetic factors. We used logistic regression to model BPH risk as a function of principal components of ancestry, age, and imputed genotype data, with meta-analysis performed using METAL. The top result was on chromosome 22 in SYN3 at rs2710383 (p-value = 4.6 × 10-7; Odds Ratio = 0.69, 95% confidence interval = 0.55-0.83). Other suggestive signals were near genes GLGC, UNCA13, SORCS1 and between BTBD3 and SPTLC3. We also evaluated genetically-predicted gene expression in prostate tissue. The most significant result was with increasing predicted expression of ETV4 (chr17; p-value = 0.0015). Overexpression of this gene has been associated with poor prognosis in prostate cancer. In conclusion, although there were no genome-wide significant variants identified for BPH susceptibility, we present evidence supporting the heritability of this phenotype, have identified suggestive signals, and evaluated the association between BPH and genetically-predicted gene expression in prostate.
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Affiliation(s)
- Jacklyn N Hellwege
- Division of Epidemiology, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA
- Vanderbilt Genetics Institute, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Sarah Stallings
- Division of Geriatric Medicine, Meharry-Vanderbilt Alliance, Nashville, TN, USA
| | - Eric S Torstenson
- Division of Epidemiology, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA
- Vanderbilt Genetics Institute, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Robert Carroll
- Department of Biomedical Informatics Vanderbilt University, Nashville, TN, USA
| | | | - Murray H Brilliant
- Center for Human Genetics, Marshfield Clinic Research Institute, Marshfield, WI, USA
| | - David Crosslin
- Department of Biomedical Informatics and Medical Education, School of Medicine, University of Washington, Seattle, WA, USA
| | - Adam Gordon
- Division of Medical Genetics, University of Washington, Seattle, WA, USA
| | - George Hripcsak
- Department of Biomedical Informatics, Columbia University, New York, NY, USA
- Medical Informatics Services, New York-Presbyterian Hospital, New York, NY, USA
| | - Gail P Jarvik
- Departments of Medicine (Medical Genetics) and Genome Sciences, University of Washington, Seattle, WA, USA
| | - James G Linneman
- Office of Research Computing and Analytics/Marshfield Clinic Research Institute, Marshfield, WI, USA
| | - Parimala Devi
- Department of Biomedical Informatics and Medical Education, School of Medicine, University of Washington, Seattle, WA, USA
| | - Peggy L Peissig
- Center for Computational and Biomedical Informatics, Marshfield Clinic Research Institute, Marshfield, WI, USA
| | - Patrick A M Sleiman
- Center for Applied Genomics, The Children's Hospital of Philadelphia, Philadelphia, PA, USA
- Division of Human Genetics, Department of Pediatrics, The Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Hakon Hakonarson
- Center for Applied Genomics, The Children's Hospital of Philadelphia, Philadelphia, PA, USA
- Division of Human Genetics, Department of Pediatrics, The Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Marylyn D Ritchie
- Department of Genetics, University of Pennsylvania, Philadelphia, PA, USA
| | | | - Ning Shang
- Department of Biomedical Informatics, Columbia University, New York, NY, USA
| | - Josh C Denny
- Department of Biomedical Informatics Vanderbilt University, Nashville, TN, USA
- Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Dan M Roden
- Department of Biomedical Informatics Vanderbilt University, Nashville, TN, USA
- Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA
- Department of Pharmacology, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Digna R Velez Edwards
- Vanderbilt Genetics Institute, Vanderbilt University Medical Center, Nashville, TN, USA.
- Department of Biomedical Informatics Vanderbilt University, Nashville, TN, USA.
- Division of Quantitative Sciences, Department of Obstetrics and Gynecology, Vanderbilt Epidemiology Center, Institute for Medicine and Public Health, Vanderbilt University Medical Center, Nashville, TN, USA.
| | - Todd L Edwards
- Division of Epidemiology, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA.
- Vanderbilt Genetics Institute, Vanderbilt University Medical Center, Nashville, TN, USA.
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11
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Association between SLC2A9 Genetic Variants and Risk of Hyperuricemia in a Uygur Population. Curr Med Sci 2019; 39:243-249. [DOI: 10.1007/s11596-019-2026-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/12/2017] [Revised: 01/16/2019] [Indexed: 10/27/2022]
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12
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Roman YM. The Daniel K. Inouye College of Pharmacy Scripts: Perspectives on the Epidemiology of Gout and Hyperuricemia. HAWAI'I JOURNAL OF MEDICINE & PUBLIC HEALTH : A JOURNAL OF ASIA PACIFIC MEDICINE & PUBLIC HEALTH 2019; 78:71-76. [PMID: 30766768 PMCID: PMC6369891] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 06/09/2023]
Abstract
Gout is the most common inflammatory arthritic condition affecting more men than women. Hyperuricemia and the deposition of urate crystals into the joints are the hallmarks of gout. The prevalence of gout and hyperuricemia is rising in the United States and world-wide possibly due to the aging population, comorbidities, and other lifestyle factors. Gout and serum uric acid (SUA) levels are highly heritable, underscoring the role of genetics on disease risk and possibly the racial disparities in gout prevalence. However, high consumption of high fructose corn syrup, alcohol, select dietary lifestyles, and use of diuretics are associated with higher SUA levels and increased risk for developing gout. Adopting healthy diet and lifestyle modifications can lower SUA levels. Nonetheless, diet-based approaches for the management of gout should remain a secondary approach to urate lowering therapy.
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Affiliation(s)
- Youssef M Roman
- Daniel K. Inouye College of Pharmacy, University of Hawai'i at Hilo, Hilo, HI
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13
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YI XL, LI J, MENG DM, LIU YJ, LIU YH, MA HM, YUAN Y, XING SC. An Intron Variant of SLC2A9 Increases the Risk for Type 2 Diabetes Mellitus Complicated with Hyperuricemia in Chinese Male Population. IRANIAN JOURNAL OF PUBLIC HEALTH 2018; 47:844-851. [PMID: 30087870 PMCID: PMC6077636] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
BACKGROUND The aim of this study was to explore the associations of haplotypes of the glucose transporter 9 (SLC2A9) genes with type 2 diabetes mellitus (T2DM) complicated with hyperuricemia (HUA). METHODS Overall, 608 Chinese males, enrolled from the Affiliated Hospital of Medical College of Qingdao University in 2009-2012, were genotyped. The subjects included 167 withT2DM (average age of onset (58.07±11.82 yr), 198 with HUA subjects (average age of onset (39.20±9.73) yr), 115 with T2DM complicated with HUA (average age of onset (51.24±10.09) yr), and 128 control subjects (average age (41.92±10.01) yr). Patients genotypes of the SNPs; including rs734553 was determined by PCR method. Each genotype was regressed assuming the co-dominant, dominant and the recessive models of inheritance with covariates of duration of total glucose, uric acid, urea nitrogen, triglyceride, cholesterol, and creatinine levels. RESULTS Chi-square test revealed that rs734553polymorphism was both significantly associated with HUA as well as T2DM complicated HUA, but not with pure T2DM. After adjustment for age and gender, analysis showed that people with C allele had higher risk of HUA and T2DM complicated HUA than those without C allele. And none of the subjects had the homozygous genotype for SLC2A9 (CC). CONCLUSION The SLC2A9 mutation increases the risk for T2DM complicated HUA in Chinese population, which suggested that intron variants between two relatively conserved exons could also be associated with diseases. In patients of T2DM complicated with HUA, the diagnosis and detection of SLC2A9 gene variants should be caused enough attention.
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Affiliation(s)
- Xuan-Long YI
- The Affiliated Hospital of Qingdao University, Qingdao, Shandong Province, China
| | - Jiang LI
- The Affiliated Hospital of Qingdao University, Qingdao, Shandong Province, China
| | - Dong-Mei MENG
- The Affiliated Hospital of Qingdao University, Qingdao, Shandong Province, China
| | - Yan-Jun LIU
- The College of Life Science, Nanjing Agricultural University, Nanjing, China
| | - Yan-Hong LIU
- The Affiliated Hospital of Qingdao University, Qingdao, Shandong Province, China
| | - Hong-Min MA
- The Affiliated Hospital of Qingdao University, Qingdao, Shandong Province, China
| | - Ying YUAN
- The Affiliated Hospital of Qingdao University, Qingdao, Shandong Province, China,Corresponding Author:
| | - Shi-Chao XING
- The Affiliated Hospital of Qingdao University, Qingdao, Shandong Province, China, Dept. of Scientific Research Shandong Institute of Orthopaedics and Traumatology, Qingdao, Shandong Province, China,Corresponding Author:
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14
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Spatola L, Ferraro PM, Gambaro G, Badalamenti S, Dauriz M. Metabolic syndrome and uric acid nephrolithiasis: insulin resistance in focus. Metabolism 2018; 83:225-233. [PMID: 29510180 DOI: 10.1016/j.metabol.2018.02.008] [Citation(s) in RCA: 68] [Impact Index Per Article: 9.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/16/2017] [Revised: 02/04/2018] [Accepted: 02/23/2018] [Indexed: 01/19/2023]
Abstract
Uric acid nephrolithiasis (UAN) is an increasingly common disease in ethnically diverse populations and constitutes about 10% of all kidney stones. Metabolic syndrome and diabetes mellitus are accounted among the major risk factors for UAN, together with environmental exposure, individual lifestyle habits and genetic predisposition. The development and overt manifestation of UAN appears to stem on the background of insulin resistance, which acts at the kidney level by reducing urinary pH, thus hampering the ability of the kidney to generate renal ammonium in response to an acid load. Unduly acidic urinary pH and overt UAN are both considered renal manifestations of insulin resistance. The mechanisms underlying increased endogenous acid production and/or defective ammonium excretion are yet to be completely understood. Although the development of UAN and, more in general, of kidney stones largely recognizes modifiable individual determining factors, the rising prevalence of diabetes, obesity and accompanying metabolic disorders calls for the identification of novel therapeutic approaches and intervention targets. This review aims at providing an updated picture of existing evidence on the relationship between insulin resistance and UAN in the context of metabolic syndrome and in light of the most recent advancements in our understanding of its genetic signature.
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Affiliation(s)
- Leonardo Spatola
- Division of Nephrology, Humanitas Clinical and Research Center, Rozzano, MI, Italy.
| | - Pietro Manuel Ferraro
- Division of Nephrology, Fondazione Policlinico Universitario A. Gemelli, Catholic University of the Sacred Heart, Rome, Italy
| | - Giovanni Gambaro
- Division of Nephrology, Fondazione Policlinico Universitario A. Gemelli, Catholic University of the Sacred Heart, Rome, Italy
| | | | - Marco Dauriz
- Division of Endocrinology, Diabetes and Metabolism, Department of Medicine, University of Verona Hospital Trust, Verona, Italy.
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15
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Benn CL, Dua P, Gurrell R, Loudon P, Pike A, Storer RI, Vangjeli C. Physiology of Hyperuricemia and Urate-Lowering Treatments. Front Med (Lausanne) 2018; 5:160. [PMID: 29904633 PMCID: PMC5990632 DOI: 10.3389/fmed.2018.00160] [Citation(s) in RCA: 150] [Impact Index Per Article: 21.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/12/2018] [Accepted: 05/08/2018] [Indexed: 12/18/2022] Open
Abstract
Gout is the most common form of inflammatory arthritis and is a multifactorial disease typically characterized by hyperuricemia and monosodium urate crystal deposition predominantly in, but not limited to, the joints and the urinary tract. The prevalence of gout and hyperuricemia has increased in developed countries over the past two decades and research into the area has become progressively more active. We review the current field of knowledge with emphasis on active areas of hyperuricemia research including the underlying physiology, genetics and epidemiology, with a focus on studies which suggest association of hyperuricemia with common comorbidities including cardiovascular disease, renal insufficiency, metabolic syndrome and diabetes. Finally, we discuss current therapies and emerging drug discovery efforts aimed at delivering an optimized clinical treatment strategy.
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Affiliation(s)
| | - Pinky Dua
- Pfizer Ltd., Cambridge, United Kingdom
| | | | | | - Andrew Pike
- DMPK, Oncology, IMED Biotech Unit, AstraZeneca, Cambridge, United Kingdom
| | - R Ian Storer
- IMED Biotech Unit, Medicinal Chemistry, Discovery Sciences, AstraZeneca, Cambridge, United Kingdom
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16
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Abstract
Genome-wide association studies (GWAS) have identified nearly 30 loci associated with urate concentrations that also influence the subsequent risk of gout. The ABCG2 Q141 K variant is highly likely to be causal and results in internalization of ABCG2, which can be rescued by drugs. Three other GWAS loci contain uric acid transporter genes, which are also highly likely to be causal. However identification of causal genes at other urate loci is challenging. Finally, relatively little is known about the genetic control of progression from hyperuricemia to gout. Only 4 small GWAS have been published for gout.
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Affiliation(s)
- Tony Merriman
- Department of Biochemistry, University of Otago, 710 Cumberland Street, Dunedin 9054, New Zealand.
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17
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Nkeck JR, Singwé Ngandeu M, Ama Moor V, Nkeck JP, Chedjou JP, Ndoadoumgue AL, Mbacham WF. Genetic analysis for rs2280205 (A>G) and rs2276961 (T>C) in SLC2A9 polymorphism for the susceptibility of gout in Cameroonians: a pilot study. BMC Res Notes 2018; 11:230. [PMID: 29615104 PMCID: PMC5883404 DOI: 10.1186/s13104-018-3333-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/13/2018] [Accepted: 03/27/2018] [Indexed: 11/22/2022] Open
Abstract
Objective To determine the association of non-synonymous variants rs2280205 and rs2276961 of the SLC2A9 gene to gout in Cameroonians. Results In a case–control study including 30 patients with acute gout matched to 30 healthy volunteers. We searched for polymorphism of the targeted variants using Restriction Fragment Length Polymorphism following polymerize chain reaction. Fisher exact test and Student t-test were used to compare variables, with a threshold of significance set at 0.05. The mean age of participants was 58 ± 8 years with 28 (93%) males. The family history of gout was found in one-third of the cases (p > 0.05). Uricemia was higher in cases than controls (p < 0.001) but 24 h urate excretion was similar in both groups (p > 0.05). Ancestral alleles (G and C) and their homozygous genotypes (GG and CC) of the targeted variants were predominant in both groups (p < 0.001). The polymorphisms of targeted variants were not associated with gout, and do not influence uric acid concentration in blood and urine. Non-synonymous variants rs2280205 and rs2276961 are not associated with gout in Cameroonians. However, the hereditary component of the disease suggests the influence of other genetic and/or environmental factors. Electronic supplementary material The online version of this article (10.1186/s13104-018-3333-6) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Jan René Nkeck
- Faculty of Medicine and Biomedical Sciences, The University of Yaoundé I, Yaoundé, Cameroon.
| | - Madeleine Singwé Ngandeu
- Faculty of Medicine and Biomedical Sciences, The University of Yaoundé I, Yaoundé, Cameroon.,Rheumatology Unit of the Yaoundé Central Hospital, Yaoundé, Cameroon
| | - Vicky Ama Moor
- Faculty of Medicine and Biomedical Sciences, The University of Yaoundé I, Yaoundé, Cameroon.,Biochemistry Laboratory of the Yaoundé University Hospital Centre, Yaoundé, Cameroon
| | - Jériel Pascal Nkeck
- Faculty of Medicine and Biomedical Sciences, The University of Yaoundé I, Yaoundé, Cameroon
| | - Jean-Pierre Chedjou
- Laboratory of Public Health Biotechnology, Biotechnology Centre of the University of Yaoundé I, Yaoundé, Cameroon
| | | | - Wilfred F Mbacham
- Faculty of Medicine and Biomedical Sciences, The University of Yaoundé I, Yaoundé, Cameroon.,Laboratory of Public Health Biotechnology, Biotechnology Centre of the University of Yaoundé I, Yaoundé, Cameroon
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18
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Lee J, Lee Y, Park B, Won S, Han JS, Heo NJ. Genome-wide association analysis identifies multiple loci associated with kidney disease-related traits in Korean populations. PLoS One 2018; 13:e0194044. [PMID: 29558500 PMCID: PMC5860731 DOI: 10.1371/journal.pone.0194044] [Citation(s) in RCA: 28] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/26/2017] [Accepted: 02/25/2018] [Indexed: 12/19/2022] Open
Abstract
Chronic kidney disease (CKD) is an important social health problem characterized by a decrease in the kidney glomerular filtration rate (GFR). In this study, we analyzed genome-wide association studies for kidney disease-related traits using data from a Korean adult health screening cohort comprising 7,064 participants. Kidney disease-related traits analyzed include blood urea nitrogen (BUN), serum creatinine, estimated GFR, and uric acid levels. We detected two genetic loci (SLC14A2 and an intergenic region) and 8 single nucleotide polymorphisms (SNPs) associated with BUN, 3 genetic loci (BCAS3, C17orf82, ALDH2) and 6 SNPs associated with serum creatinine, 3 genetic loci (BCAS3, C17orf82/TBX2, LRP2) and 7 SNPs associated with GFR, and 14 genetic loci (3 in ABCG2/PKD2, 2 in SLC2A9, 3 in intergenic regions on chromosome 4; OTUB1, NRXN2/SLC22A12, CDC42BPG, RPS6KA4, SLC22A9, and MAP4K2 on chromosome 11) and 84 SNPs associated with uric acid levels. By comparing significant genetic loci associated with serum creatinine levels and GFR, rs9895661 in BCAS3 and rs757608 in C17orf82 were simultaneously associated with both traits. The SNPs rs11710227 in intergenic regions on chromosome 3 showing significant association with BUN is newly discovered. Genetic variations of multiple gene loci are associated with kidney disease-related traits, and differences in associations between kidney disease-related traits and genetic variation are dependent on the population. The meanings of the mutations identified in this study will need to be reaffirmed in other population groups in the future.
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Affiliation(s)
- Jeonghwan Lee
- Department of Internal Medicine, Hallym University Hangang Sacred Heart Hospital, Seoul, Korea
| | - Young Lee
- Veterans Medical Research Institute, Veterans Health Service Medical Center, Seoul, Korea
| | - Boram Park
- Department of Public Health Science, Seoul National University, Seoul, Korea
| | - Sungho Won
- Department of Public Health Science, Seoul National University, Seoul, Korea
- Interdisciplinary Program of Bioinformatics, Seoul National University, Seoul, Korea
- Institute of Health and Environment, Seoul National University, Seoul, Korea
| | - Jin Suk Han
- Department of Internal Medicine, Seoul National University College of Medicine, Seoul, Korea
| | - Nam Ju Heo
- Division of Nephrology, Department of Internal Medicine, Healthcare System Gangnam Center, Seoul National University Hospital, Seoul, Korea
- * E-mail:
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19
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Wang W, Zhang D, Xu C, Wu Y, Duan H, Li S, Tan Q. Heritability and Genome-Wide Association Analyses of Serum Uric Acid in Middle and Old-Aged Chinese Twins. Front Endocrinol (Lausanne) 2018; 9:75. [PMID: 29559957 PMCID: PMC5845532 DOI: 10.3389/fendo.2018.00075] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/10/2017] [Accepted: 02/19/2018] [Indexed: 12/13/2022] Open
Abstract
Serum uric acid (SUA), as the end product of purine metabolism, has proven emerging roles in human disorders. Here based on a sample of 379 middle and old-aged Chinese twin pairs, we aimed to explore the magnitude of genetic impact on SUA variation by performing sex-limitation twin modeling analyses and further detect specific genetic variants related to SUA by conducting a genome-wide association study. Monozygotic (MZ) twin correlation for SUA level (rMZ = 0.56) was larger than for dizygotic (DZ) twin correlation (rDZ = 0.39). The common effects sex-limitation model provided the best fit with additive genetic parameter (A) accounting for 46.3%, common or shared environmental parameter (C) accounting for 26.3% and unique/nonshared environmental parameter (E) accounting for 27.5% for females and 29.9, 33.1, and 37.0% for males, respectively. Although no SUA-related genetic variants reached genome-wide significance level, 25 SNPs were suggestive of association (P < 1 × 10-5). Most of the SNPs were located in an intronic region and detected to have regulatory effects on gene transcription. The cell-type specific enhancer of skeletal muscle was detected which has been reported to implicate SUA. Two promising genetic regions on chromosome 17 around rs2253277 and chromosome 14 around rs11621523 were found. Gene-based analysis found 167 genes nominally associated with SUA level (P < 0.05), including PTGR2, ENTPD5, well-known SLC2A9, etc. Enrichment analysis identified one pathway of transmembrane transport of small molecules and 20 GO gene sets involving in ion transport, transmembrane transporter activity, hydrolase activity acting on acid anhydrides, etc. In conclusion, SUA shows moderate heritability in women and low heritability in men in the Chinese population and genetic variations are significantly involved in functional genes and regulatory domains that mediate SUA level. Our findings provide clues to further elucidate molecular physiology of SUA homeostasis and identify new diagnostic biomarkers and therapeutic targets for hyperuricemia and gout.
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Affiliation(s)
- Weijing Wang
- Department of Epidemiology and Health Statistics, Public Health College, Qingdao University, Qingdao, China
- Epidemiology and Biostatistics, Department of Public Health, University of Southern Denmark, Odense, Denmark
| | - Dongfeng Zhang
- Department of Epidemiology and Health Statistics, Public Health College, Qingdao University, Qingdao, China
- *Correspondence: Dongfeng Zhang,
| | - Chunsheng Xu
- Department of Epidemiology and Health Statistics, Public Health College, Qingdao University, Qingdao, China
- Qingdao Municipal Center for Disease Control and Prevention, Qingdao, China
- Qingdao Institute of Preventive Medicine, Qingdao, China
| | - Yili Wu
- Department of Epidemiology and Health Statistics, Public Health College, Qingdao University, Qingdao, China
| | - Haiping Duan
- Department of Epidemiology and Health Statistics, Public Health College, Qingdao University, Qingdao, China
- Qingdao Municipal Center for Disease Control and Prevention, Qingdao, China
| | - Shuxia Li
- Unit of Human Genetics, Department of Clinical Research, University of Southern Denmark, Odense, Denmark
| | - Qihua Tan
- Epidemiology and Biostatistics, Department of Public Health, University of Southern Denmark, Odense, Denmark
- Unit of Human Genetics, Department of Clinical Research, University of Southern Denmark, Odense, Denmark
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20
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Sallah N, Carstensen T, Wakeham K, Bagni R, Labo N, Pollard MO, Gurdasani D, Ekoru K, Pomilla C, Young EH, Fatumo S, Asiki G, Kamali A, Sandhu M, Kellam P, Whitby D, Barroso I, Newton R. Whole-genome association study of antibody response to Epstein-Barr virus in an African population: a pilot. Glob Health Epidemiol Genom 2017; 2:e18. [PMID: 29868224 PMCID: PMC5870407 DOI: 10.1017/gheg.2017.16] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/17/2017] [Revised: 10/19/2017] [Accepted: 10/24/2017] [Indexed: 02/02/2023] Open
Abstract
Epstein Barr virus (EBV) infects 95% of the global population and is associated with up to 2% of cancers globally. Immunoglobulin G (IgG) antibody levels to EBV have been shown to be heritable and associated with developing malignancies. We, therefore, performed a pilot genome-wide association analysis of anti-EBV IgG traits in an African population, using a combined approach including array genotyping, whole-genome sequencing and imputation to a panel with African sequence data. In 1562 Ugandans, we identify a variant in human leukocyte antigen (HLA)-DQA1, rs9272371 (p = 2.6 × 10-17) associated with anti-EBV nuclear antigen-1 responses. Trans-ancestry meta-analysis and fine-mapping with European-ancestry individuals suggest the presence of distinct HLA class II variants driving associations in Uganda. In addition, we identify four putative, novel, very rare African-specific loci with preliminary evidence for association with anti-viral capsid antigen IgG responses which will require replication for validation. These findings reinforce the need for the expansion of such studies in African populations with relevant datasets to capture genetic diversity.
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Affiliation(s)
- N. Sallah
- Department of Human Genetics, Wellcome Trust Sanger Institute, Hinxton, UK
- Department of Virus Genomics, Wellcome Trust Sanger Institute, Hinxton, UK
| | - T. Carstensen
- Department of Human Genetics, Wellcome Trust Sanger Institute, Hinxton, UK
- Department of Medicine, University of Cambridge, Cambridge, UK
| | - K. Wakeham
- MRC/Uganda Virus Research Institute, Uganda Research Unit on AIDS, Entebbe, Uganda
- Institute of Cancer Sciences, University of Glasgow, Glasgow, UK
| | - R. Bagni
- Protein Expression Lab, Cancer Research Technology Program, Leidos Biomedical Research, Frederick National Laboratory for Cancer Research, Frederick, MD, USA
| | - N. Labo
- Viral Oncology Section, Aids and Cancer Program, Leidos Biomedical Research, Frederick National Laboratory for Cancer Research, Frederick, MD, USA
| | - M. O. Pollard
- Department of Human Genetics, Wellcome Trust Sanger Institute, Hinxton, UK
- Department of Medicine, University of Cambridge, Cambridge, UK
| | - D. Gurdasani
- Department of Human Genetics, Wellcome Trust Sanger Institute, Hinxton, UK
- Department of Medicine, University of Cambridge, Cambridge, UK
| | - K. Ekoru
- Department of Human Genetics, Wellcome Trust Sanger Institute, Hinxton, UK
- Department of Medicine, University of Cambridge, Cambridge, UK
| | - C. Pomilla
- Department of Human Genetics, Wellcome Trust Sanger Institute, Hinxton, UK
- Department of Medicine, University of Cambridge, Cambridge, UK
| | - E. H. Young
- Department of Human Genetics, Wellcome Trust Sanger Institute, Hinxton, UK
- Department of Medicine, University of Cambridge, Cambridge, UK
| | - S. Fatumo
- Department of Human Genetics, Wellcome Trust Sanger Institute, Hinxton, UK
- Department of Medicine, University of Cambridge, Cambridge, UK
- H3Africa Bioinformatics Network (H3ABioNet) Node, National Biotechnology Development Agency (NABDA), Federal Ministry of Science and Technology (FMST), Abuja, Nigeria
| | - G. Asiki
- MRC/Uganda Virus Research Institute, Uganda Research Unit on AIDS, Entebbe, Uganda
| | - A. Kamali
- MRC/Uganda Virus Research Institute, Uganda Research Unit on AIDS, Entebbe, Uganda
| | - M. Sandhu
- Department of Human Genetics, Wellcome Trust Sanger Institute, Hinxton, UK
- Department of Medicine, University of Cambridge, Cambridge, UK
| | - P. Kellam
- Department of Virus Genomics, Wellcome Trust Sanger Institute, Hinxton, UK
| | - D. Whitby
- Viral Oncology Section, Aids and Cancer Program, Leidos Biomedical Research, Frederick National Laboratory for Cancer Research, Frederick, MD, USA
| | - I. Barroso
- Department of Human Genetics, Wellcome Trust Sanger Institute, Hinxton, UK
| | - R. Newton
- MRC/Uganda Virus Research Institute, Uganda Research Unit on AIDS, Entebbe, Uganda
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21
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Rotimi CN, Bentley AR, Doumatey AP, Chen G, Shriner D, Adeyemo A. The genomic landscape of African populations in health and disease. Hum Mol Genet 2017; 26:R225-R236. [PMID: 28977439 PMCID: PMC6075021 DOI: 10.1093/hmg/ddx253] [Citation(s) in RCA: 46] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/24/2017] [Revised: 06/19/2017] [Accepted: 06/29/2017] [Indexed: 12/12/2022] Open
Abstract
A deeper appreciation of the complex architecture of African genomes is critical to the global effort to understand human history, biology and differential distribution of disease by geography and ancestry. Here, we report on how the growing engagement of African populations in genome science is providing new insights into the forces that shaped human genomes before and after the Out-of-Africa migrations. As a result of this human evolutionary history, African ancestry populations have the greatest genomic diversity in the world, and this diversity has important ramifications for genomic research. In the case of pharmacogenomics, for instance, variants of consequence are not limited to those identified in other populations, and diversity within African ancestry populations precludes summarizing risk across different African ethnic groups. Exposure of Africans to fatal pathogens, such as Plasmodium falciparum, Lassa Virus and Trypanosoma brucei rhodesiense, has resulted in elevated frequencies of alleles conferring survival advantages for infectious diseases, but that are maladaptive in modern-day environments. Illustrating with cardiometabolic traits, we show that while genomic research in African ancestry populations is still in early stages, there are already many examples of novel and African ancestry-specific disease loci that have been discovered. Furthermore, the shorter haplotypes in African genomes have facilitated fine-mapping of loci discovered in other human ancestry populations. Given the insights already gained from the interrogation of African genomes, it is imperative to continue and increase our efforts to describe genomic risk in and across African ancestry populations.
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Affiliation(s)
- Charles N. Rotimi
- Center for Research on Genomics and Global Health, National Human Genome Research Institute, Bethesda, MD 20892, USA
| | - Amy R. Bentley
- Center for Research on Genomics and Global Health, National Human Genome Research Institute, Bethesda, MD 20892, USA
| | - Ayo P. Doumatey
- Center for Research on Genomics and Global Health, National Human Genome Research Institute, Bethesda, MD 20892, USA
| | - Guanjie Chen
- Center for Research on Genomics and Global Health, National Human Genome Research Institute, Bethesda, MD 20892, USA
| | - Daniel Shriner
- Center for Research on Genomics and Global Health, National Human Genome Research Institute, Bethesda, MD 20892, USA
| | - Adebowale Adeyemo
- Center for Research on Genomics and Global Health, National Human Genome Research Institute, Bethesda, MD 20892, USA
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22
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Yamada Y, Sakuma J, Takeuchi I, Yasukochi Y, Kato K, Oguri M, Fujimaki T, Horibe H, Muramatsu M, Sawabe M, Fujiwara Y, Taniguchi Y, Obuchi S, Kawai H, Shinkai S, Mori S, Arai T, Tanaka M. Identification of C21orf59 and ATG2A as novel determinants of renal function-related traits in Japanese by exome-wide association studies. Oncotarget 2017; 8:45259-45273. [PMID: 28410202 PMCID: PMC5542184 DOI: 10.18632/oncotarget.16696] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/12/2017] [Accepted: 03/08/2017] [Indexed: 11/25/2022] Open
Abstract
We have performed exome-wide association studies to identify genetic variants that influence renal function-related traits or confer susceptibility to chronic kidney disease or hyperuricemia in Japanese. Exome-wide association studies for estimated glomerular filtration rate and the serum concentration of creatinine were performed with 12,565 individuals, that for the serum concentration of uric acid with 9934 individuals, and those for chronic kidney disease or hyperuricemia with 5161 individuals (3270 cases, 1891 controls) or 11,686 individuals (2045 cases, 9641 controls), respectively. The relation of genotypes of single nucleotide polymorphisms to estimated glomerular filtration rate or the serum concentrations of creatinine or uric acid was examined by linear regression analysis, and that of allele frequencies of single nucleotide polymorphisms to chronic kidney disease or hyperuricemia was examined with Fisher's exact test. The exome-wide association studies revealed that 25, seven, and six single nucleotide polymorphisms were significantly (P <1.21 × 10-6) associated with estimated glomerular filtration rate or the serum concentrations of creatinine or uric acid, respectively, and that 49 and 35 polymorphisms were significantly associated with chronic kidney disease or hyperuricemia, respectively. Subsequent multivariable logistic regression analysis with adjustment for covariates revealed that four and three single nucleotide polymorphisms were related (P < 0.05) to chronic kidney disease or hyperuricemia, respectively. Among polymorphisms identified in the present study, rs76974938 [C/T (D67N)] of C21orf59 and rs188780113 [G/A (R478C)] of ATG2A may be novel determinants of estimated glomerular filtration rate and chronic kidney disease or of the serum concentration of uric acid, respectively.
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Affiliation(s)
- Yoshiji Yamada
- Department of Human Functional Genomics, Advanced Science Research Promotion Center, Mie University, Tsu, Japan
- CREST, Japan Science and Technology Agency, Kawaguchi, Japan
| | - Jun Sakuma
- CREST, Japan Science and Technology Agency, Kawaguchi, Japan
- Computer Science Department, College of Information Science, University of Tsukuba, Tsukuba, Japan
- RIKEN Center for Advanced Intelligence Project, Tokyo, Japan
| | - Ichiro Takeuchi
- CREST, Japan Science and Technology Agency, Kawaguchi, Japan
- RIKEN Center for Advanced Intelligence Project, Tokyo, Japan
- Department of Computer Science, Nagoya Institute of Technology, Nagoya, Japan
| | - Yoshiki Yasukochi
- Department of Human Functional Genomics, Advanced Science Research Promotion Center, Mie University, Tsu, Japan
- CREST, Japan Science and Technology Agency, Kawaguchi, Japan
| | - Kimihiko Kato
- Department of Human Functional Genomics, Advanced Science Research Promotion Center, Mie University, Tsu, Japan
- Department of Internal Medicine, Meitoh Hospital, Nagoya, Japan
| | - Mitsutoshi Oguri
- Department of Human Functional Genomics, Advanced Science Research Promotion Center, Mie University, Tsu, Japan
- Department of Cardiology, Kasugai Municipal Hospital, Kasugai, Japan
| | - Tetsuo Fujimaki
- Department of Cardiovascular Medicine, Inabe General Hospital, Inabe, Japan
| | - Hideki Horibe
- Department of Cardiovascular Medicine, Gifu Prefectural Tajimi Hospital, Tajimi, Japan
| | - Masaaki Muramatsu
- Department of Molecular Epidemiology, Medical Research Institute, Tokyo Medical and Dental University, Tokyo, Japan
| | - Motoji Sawabe
- Section of Molecular Pathology, Graduate School of Health Care Sciences, Tokyo Medical and Dental University, Tokyo, Japan
| | - Yoshinori Fujiwara
- Research Team for Social Participation and Community Health, Tokyo Metropolitan Institute of Gerontology, Tokyo, Japan
| | - Yu Taniguchi
- Research Team for Social Participation and Community Health, Tokyo Metropolitan Institute of Gerontology, Tokyo, Japan
| | - Shuichi Obuchi
- Research Team for Promoting Support System for Home Care, Tokyo Metropolitan Institute of Gerontology, Tokyo, Japan
| | - Hisashi Kawai
- Research Team for Promoting Support System for Home Care, Tokyo Metropolitan Institute of Gerontology, Tokyo, Japan
| | - Shoji Shinkai
- Research Team for Social Participation and Health Promotion, Tokyo Metropolitan Institute of Gerontology, Tokyo, Japan
| | - Seijiro Mori
- Center for Promotion of Clinical Investigation, Tokyo Metropolitan Geriatric Hospital, Tokyo, Japan
| | - Tomio Arai
- Department of Pathology, Tokyo Metropolitan Geriatric Hospital, Tokyo, Japan
| | - Masashi Tanaka
- Department of Clinical Laboratory, Tokyo Metropolitan Geriatric Hospital, Tokyo, Japan
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23
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Dalbeth N, Stamp LK, Merriman TR. The genetics of gout: towards personalised medicine? BMC Med 2017; 15:108. [PMID: 28566086 PMCID: PMC5452604 DOI: 10.1186/s12916-017-0878-5] [Citation(s) in RCA: 33] [Impact Index Per Article: 4.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/08/2017] [Accepted: 05/16/2017] [Indexed: 12/18/2022] Open
Abstract
Over the last decade, there have been major advances in the understanding of the genetic basis of hyperuricaemia and gout as well as of the pharmacogenetics of urate-lowering therapy. Key findings include the reporting of 28 urate-associated loci, the discovery that ABCG2 plays a central role on extra-renal uric acid excretion, the identification of genes associated with development of gout in the context of hyperuricaemia, recognition that ABCG2 variants influence allopurinol response, and the impact of HLA-B*5801 testing in reducing the prevalence of allopurinol hypersensitivity in high-risk populations. These advances, together with the reducing cost of whole genome sequencing, mean that integrated personalised medicine approaches may soon be possible in clinical practice. Genetic data may inform assessment of disease prognosis in individuals with hyperuricaemia or established gout, personalised lifestyle advice, selection and dosing of urate-lowering therapy, and prevention of serious medication adverse effects. In this article, we summarise the discoveries from genome-wide association studies and discuss the potential for translation of these findings into clinical practice.
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Affiliation(s)
- Nicola Dalbeth
- Department of Medicine, Faculty of Medical and Health Sciences, University of Auckland, 85 Park Rd, Grafton, Auckland, 1023, New Zealand.
| | - Lisa K Stamp
- Department of Medicine, University of Otago, Christchurch, New Zealand
| | - Tony R Merriman
- Department of Biochemistry, University of Otago, Dunedin, New Zealand
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24
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Structural variants caused by Alu insertions are associated with risks for many human diseases. Proc Natl Acad Sci U S A 2017; 114:E3984-E3992. [PMID: 28465436 DOI: 10.1073/pnas.1704117114] [Citation(s) in RCA: 85] [Impact Index Per Article: 10.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/19/2023] Open
Abstract
Interspersed repeat sequences comprise much of our DNA, although their functional effects are poorly understood. The most commonly occurring repeat is the Alu short interspersed element. New Alu insertions occur in human populations, and have been responsible for several instances of genetic disease. In this study, we sought to determine if there are instances of polymorphic Alu insertion variants that function in a common variant, common disease paradigm. We cataloged 809 polymorphic Alu elements mapping to 1,159 loci implicated in disease risk by genome-wide association study (GWAS) (P < 10-8). We found that Alu insertion variants occur disproportionately at GWAS loci (P = 0.013). Moreover, we identified 44 of these Alu elements in linkage disequilibrium (r2 > 0.7) with the trait-associated SNP. This figure represents a >20-fold increase in the number of polymorphic Alu elements associated with human phenotypes. This work provides a broader perspective on how structural variants in repetitive DNAs may contribute to human disease.
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25
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Cleophas MC, Joosten LA, Stamp LK, Dalbeth N, Woodward OM, Merriman TR. ABCG2 polymorphisms in gout: insights into disease susceptibility and treatment approaches. PHARMACOGENOMICS & PERSONALIZED MEDICINE 2017; 10:129-142. [PMID: 28461764 PMCID: PMC5404803 DOI: 10.2147/pgpm.s105854] [Citation(s) in RCA: 52] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
Abstract
As a result of the association of a common polymorphism (rs2231142, Q141K) in the ATP-binding cassette G2 (ABCG2) transporter with serum urate concentration in a genome-wide association study, it was revealed that ABCG2 is an important uric acid transporter. This review discusses the relevance of ABCG2 polymorphisms in gout, possible etiological mechanisms, and treatment approaches. The 141K ABCG2 urate-increasing variant causes instability in the nucleotide-binding domain, leading to decreased surface expression and function. Trafficking of the protein to the cell membrane is altered, and instead, there is an increased ubiquitin-mediated proteasomal degradation of the variant protein as well as sequestration into aggresomes. In humans, this leads to decreased uric acid excretion through both the kidney and the gut with the potential for a subsequent compensatory increase in renal urinary excretion. Not only does the 141K polymorphism in ABCG2 lead to hyperuricemia through renal overload and renal underexcretion, but emerging evidence indicates that it also increases the risk of acute gout in the presence of hyperuricemia, early onset of gout, tophi formation, and a poor response to allopurinol. In addition, there is some evidence that ABCG2 dysfunction may promote renal dysfunction in chronic kidney disease patients, increase systemic inflammatory responses, and decrease cellular autophagic responses to stress. These results suggest multiple benefits in restoring ABCG2 function. It has been shown that decreased ABCG2 141K surface expression and function can be restored with colchicine and other small molecule correctors. However, caution should be exercised in any application of these approaches given the role of surface ABCG2 in drug resistance.
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Affiliation(s)
- M C Cleophas
- Department of Internal Medicine.,Radboud Institute for Molecular Life Sciences, Radboud University Medical Center, Nijmegen, the Netherlands
| | - L A Joosten
- Department of Internal Medicine.,Radboud Institute for Molecular Life Sciences, Radboud University Medical Center, Nijmegen, the Netherlands.,Department of Medical Genetics, Iuliu Haţieganu University of Medicine and Pharmacy, Cluj-Napoca, Romania
| | - L K Stamp
- Department of Medicine, University of Otago Christchurch, Christchurch
| | - N Dalbeth
- Department of Medicine, University of Auckland, Auckland, New Zealand
| | - O M Woodward
- Department of Physiology, University of Maryland School of Medicine, Baltimore, MD, USA
| | - Tony R Merriman
- Department of Biochemistry, University of Otago, Dunedin, New Zealand
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26
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Haslam DE, McKeown NM, Herman MA, Lichtenstein AH, Dashti HS. Interactions between Genetics and Sugar-Sweetened Beverage Consumption on Health Outcomes: A Review of Gene-Diet Interaction Studies. Front Endocrinol (Lausanne) 2017; 8:368. [PMID: 29375475 PMCID: PMC5767076 DOI: 10.3389/fendo.2017.00368] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/15/2017] [Accepted: 12/15/2017] [Indexed: 01/23/2023] Open
Abstract
The consumption of sugar-sweetened beverages (SSB), which includes soft drinks, fruit drinks, and other energy drinks, is associated with excess energy intake and increased risk for chronic metabolic disease among children and adults. Thus, reducing SSB consumption is an important strategy to prevent the onset of chronic diseases, and achieve and maintain a healthy body weight. The mechanisms by which excessive SSB consumption may contribute to complex chronic diseases may partially depend on an individual's genetic predisposition. Gene-SSB interaction investigations, either limited to single genetic loci or including multiple genetic variants, aim to use genomic information to define mechanistic pathways linking added sugar consumption from SSBs to those complex diseases. The purpose of this review is to summarize the available gene-SSB interaction studies investigating the relationships between genetics, SSB consumption, and various health outcomes. Current evidence suggests there are genetic predispositions for an association between SSB intake and adiposity; evidence for a genetic predisposition between SSB and type 2 diabetes or cardiovascular disease is limited.
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Affiliation(s)
- Danielle E. Haslam
- Nutritional Epidemiology Program, Jean Mayer U.S. Department of Agriculture Human Nutrition Research Center on Aging, Tufts University, Boston, MA, United States
| | - Nicola M. McKeown
- Nutritional Epidemiology Program, Jean Mayer U.S. Department of Agriculture Human Nutrition Research Center on Aging, Tufts University, Boston, MA, United States
| | - Mark A. Herman
- Division Of Endocrinology, Metabolism, and Nutrition, Department of Medicine, Duke University School of Medicine, Durham, NC, United States
| | - Alice H. Lichtenstein
- Cardiovascular Nutrition Laboratory, Jean Mayer U.S. Department of Agriculture Human Nutrition Research Center on Aging, Tufts University, Boston, MA, United States
| | - Hassan S. Dashti
- Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, United States
- Program in Medical and Population Genetics, Broad Institute, Cambridge, MA, United States
- *Correspondence: Hassan S. Dashti,
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27
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Roman YM, Culhane-Pera KA, Menk J, Straka RJ. Assessment of genetic polymorphisms associated with hyperuricemia or gout in the Hmong. Per Med 2016; 13:429-440. [PMID: 28781600 DOI: 10.2217/pme-2016-0021] [Citation(s) in RCA: 23] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]
Abstract
AIM Hyperuricemia commonly causes gout. Minnesota Hmong exhibit a two- to fivefold higher prevalence of gout versus non-Hmong. To elucidate a possible genomic contribution to this disparity, prevalence of risk alleles for hyperuricemia in Hmong was compared with European (CEU) and Han-Chinese (CHB). METHODS In total, 235 Hmong were genotyped for eight SNPs representing five candidate genes (SLC22A12, SLC2A9, ABCG2, SLC17A1 and PDZK1). RESULTS The frequency of seven out of eight risk alleles in the Hmong was significantly different than CEU; six higher and one with lower prevalence. The frequency of three out of eight risk alleles in the Hmong was significantly different than CHB; two higher and one with lower prevalence. CONCLUSION Hyperuricemia risk alleles are more prevalent in the Hmong than CEU and HB.
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Affiliation(s)
- Youssef M Roman
- Department of Experimental & Clinical Pharmacology, University of Minnesota College of Pharmacy, MN 55455, USA
| | | | - Jeremiah Menk
- Center of Translational Science Institute, Biostatistical Design & Analysis Center, University of Minnesota, MN 55455, USA
| | - Robert J Straka
- Department of Experimental & Clinical Pharmacology, University of Minnesota College of Pharmacy, MN 55455, USA
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28
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Chittoor G, Kent JW, Almeida M, Puppala S, Farook VS, Cole SA, Haack K, Göring HHH, MacCluer JW, Curran JE, Carless MA, Johnson MP, Moses EK, Almasy L, Mahaney MC, Lehman DM, Duggirala R, Comuzzie AG, Blangero J, Voruganti VS. GWAS and transcriptional analysis prioritize ITPR1 and CNTN4 for a serum uric acid 3p26 QTL in Mexican Americans. BMC Genomics 2016; 17:276. [PMID: 27039371 PMCID: PMC4818944 DOI: 10.1186/s12864-016-2594-5] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/10/2015] [Accepted: 03/16/2016] [Indexed: 01/08/2023] Open
Abstract
Background The variation in serum uric acid concentrations is under significant genetic influence. Elevated SUA concentrations have been linked to increased risk for gout, kidney stones, chronic kidney disease, and cardiovascular disease whereas reduced serum uric acid concentrations have been linked to multiple sclerosis, Parkinson’s disease and Alzheimer’s disease. Previously, we identified a novel locus on chromosome 3p26 affecting serum uric acid concentrations in Mexican Americans from San Antonio Family Heart Study. As a follow up, we examined genome-wide single nucleotide polymorphism data in an extended cohort of 1281 Mexican Americans from multigenerational families of the San Antonio Family Heart Study and the San Antonio Family Diabetes/Gallbladder Study. We used a linear regression-based joint linkage/association test under an additive model of allelic effect, while accounting for non-independence among family members via a kinship variance component. Results Univariate genetic analysis indicated serum uric acid concentrations to be significant heritable (h2 = 0.50 ± 0.05, p < 4 × 10−35), and linkage analysis of serum uric acid concentrations confirmed our previous finding of a novel locus on 3p26 (LOD = 4.9, p < 1 × 10−5) in the extended sample. Additionally, we observed strong association of serum uric acid concentrations with variants in following candidate genes in the 3p26 region; inositol 1,4,5-trisphosphate receptor, type 1 (ITPR1), contactin 4 (CNTN4), decapping mRNA 1A (DCP1A); transglutaminase 4 (TGM4) and rho guanine nucleotide exchange factor (GEF) 26 (ARHGEF26) [p < 3 × 10−7; minor allele frequencies ranged between 0.003 and 0.42] and evidence of cis-regulation for ITPR1 transcripts. Conclusion Our results confirm the importance of the chromosome 3p26 locus and genetic variants in this region in the regulation of serum uric acid concentrations.
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Affiliation(s)
- Geetha Chittoor
- Department of Nutrition, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.,UNC Nutrition Research Institute, University of North Carolina at Chapel Hill, 500 Laureate Way, Kannapolis, NC, 28081, USA
| | - Jack W Kent
- Department of Genetics, Texas Biomedical Research Institute, San Antonio, TX, USA
| | - Marcio Almeida
- South Texas Diabetes and Obesity Institute, School of Medicine, University of Texas Rio Grande Valley, Brownsville, TX, USA
| | - Sobha Puppala
- Department of Genetics, Texas Biomedical Research Institute, San Antonio, TX, USA
| | - Vidya S Farook
- South Texas Diabetes and Obesity Institute, School of Medicine, University of Texas Rio Grande Valley, Brownsville, TX, USA
| | - Shelley A Cole
- Department of Genetics, Texas Biomedical Research Institute, San Antonio, TX, USA
| | - Karin Haack
- Department of Genetics, Texas Biomedical Research Institute, San Antonio, TX, USA
| | - Harald H H Göring
- South Texas Diabetes and Obesity Institute, School of Medicine, University of Texas Rio Grande Valley, Brownsville, TX, USA
| | - Jean W MacCluer
- Department of Genetics, Texas Biomedical Research Institute, San Antonio, TX, USA
| | - Joanne E Curran
- South Texas Diabetes and Obesity Institute, School of Medicine, University of Texas Rio Grande Valley, Brownsville, TX, USA
| | - Melanie A Carless
- Department of Genetics, Texas Biomedical Research Institute, San Antonio, TX, USA
| | - Matthew P Johnson
- South Texas Diabetes and Obesity Institute, School of Medicine, University of Texas Rio Grande Valley, Brownsville, TX, USA
| | - Eric K Moses
- Centre for Genetic Epidemiology and Biostatistics, The University of Western Australia, Perth, WA, Australia
| | - Laura Almasy
- South Texas Diabetes and Obesity Institute, School of Medicine, University of Texas Rio Grande Valley, Brownsville, TX, USA
| | - Michael C Mahaney
- South Texas Diabetes and Obesity Institute, School of Medicine, University of Texas Rio Grande Valley, Brownsville, TX, USA
| | - Donna M Lehman
- Department of Medicine, University of Texas Health Science Center at San Antonio, San Antonio, TX, USA
| | - Ravindranath Duggirala
- South Texas Diabetes and Obesity Institute, School of Medicine, University of Texas Rio Grande Valley, Brownsville, TX, USA
| | - Anthony G Comuzzie
- Department of Genetics, Texas Biomedical Research Institute, San Antonio, TX, USA
| | - John Blangero
- South Texas Diabetes and Obesity Institute, School of Medicine, University of Texas Rio Grande Valley, Brownsville, TX, USA
| | - Venkata Saroja Voruganti
- Department of Nutrition, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA. .,UNC Nutrition Research Institute, University of North Carolina at Chapel Hill, 500 Laureate Way, Kannapolis, NC, 28081, USA.
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29
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Giri AK, Banerjee P, Chakraborty S, Kauser Y, Undru A, Roy S, Parekatt V, Ghosh S, Tandon N, Bharadwaj D. Genome wide association study of uric acid in Indian population and interaction of identified variants with Type 2 diabetes. Sci Rep 2016; 6:21440. [PMID: 26902266 PMCID: PMC4763273 DOI: 10.1038/srep21440] [Citation(s) in RCA: 27] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/12/2015] [Accepted: 01/22/2016] [Indexed: 12/12/2022] Open
Abstract
Abnormal level of Serum Uric Acid (SUA) is an important marker and risk factor for complex diseases including Type 2 Diabetes. Since genetic determinant of uric acid in Indians is totally unexplored, we tried to identify common variants associated with SUA in Indians using Genome Wide Association Study (GWAS). Association of five known variants in SLC2A9 and SLC22A11 genes with SUA level in 4,834 normoglycemics (1,109 in discovery and 3,725 in validation phase) was revealed with different effect size in Indians compared to other major ethnic population of the world. Combined analysis of 1,077 T2DM subjects (772 in discovery and 305 in validation phase) and normoglycemics revealed additional GWAS signal in ABCG2 gene. Differences in effect sizes of ABCG2 and SLC2A9 gene variants were observed between normoglycemics and T2DM patients. We identified two novel variants near long non-coding RNA genes AL356739.1 and AC064865.1 with nearly genome wide significance level. Meta-analysis and in silico replication in 11,745 individuals from AUSTWIN consortium improved association for rs12206002 in AL356739.1 gene to sub-genome wide association level. Our results extends association of SLC2A9, SLC22A11 and ABCG2 genes with SUA level in Indians and enrich the assemblages of evidence for SUA level and T2DM interrelationship.
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Affiliation(s)
- Anil K Giri
- Genomics and Molecular Medicine Unit, CSIR-Institute of Genomics and Integrative Biology, New Delhi 110020, India.,Academy of Scientific and Innovative Research, CSIR-Institute of Genomics and Integrative Biology Campus, New Delhi - 110020, India
| | - Priyanka Banerjee
- Genomics and Molecular Medicine Unit, CSIR-Institute of Genomics and Integrative Biology, New Delhi 110020, India
| | - Shraddha Chakraborty
- Genomics and Molecular Medicine Unit, CSIR-Institute of Genomics and Integrative Biology, New Delhi 110020, India.,Academy of Scientific and Innovative Research, CSIR-Institute of Genomics and Integrative Biology Campus, New Delhi - 110020, India
| | - Yasmeen Kauser
- Genomics and Molecular Medicine Unit, CSIR-Institute of Genomics and Integrative Biology, New Delhi 110020, India.,Academy of Scientific and Innovative Research, CSIR-Institute of Genomics and Integrative Biology Campus, New Delhi - 110020, India
| | - Aditya Undru
- Genomics and Molecular Medicine Unit, CSIR-Institute of Genomics and Integrative Biology, New Delhi 110020, India.,Academy of Scientific and Innovative Research, CSIR-Institute of Genomics and Integrative Biology Campus, New Delhi - 110020, India
| | - Suki Roy
- Genomics and Molecular Medicine Unit, CSIR-Institute of Genomics and Integrative Biology, New Delhi 110020, India
| | - Vaisak Parekatt
- Genomics and Molecular Medicine Unit, CSIR-Institute of Genomics and Integrative Biology, New Delhi 110020, India
| | - Saurabh Ghosh
- Human Genetics Unit, Indian Statistical Institute, Kolkata - 700108, India
| | - Nikhil Tandon
- Department of Endocrinology and Metabolism, All India Institute of Medical Sciences, New Delhi 110029, India
| | - Dwaipayan Bharadwaj
- Genomics and Molecular Medicine Unit, CSIR-Institute of Genomics and Integrative Biology, New Delhi 110020, India.,Academy of Scientific and Innovative Research, CSIR-Institute of Genomics and Integrative Biology Campus, New Delhi - 110020, India
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30
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Muiesan ML, Agabiti-Rosei C, Paini A, Salvetti M. Uric Acid and Cardiovascular Disease: An Update. Eur Cardiol 2016; 11:54-59. [PMID: 30310447 DOI: 10.15420/ecr.2016:4:2] [Citation(s) in RCA: 70] [Impact Index Per Article: 7.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/21/2022] Open
Abstract
In recent years, serum uric acid (SUA) as a determinant of cardiovascular (CV) risk has gained interest. Epidemiological, experimental and clinical data show that patients with hyperuricaemia SUA are at increased risk of cardiac, renal and vascular damage and CV events. There is now some evidence to suggest that urate-lowering treatment may reduce CV risk in this group and, thus, may represent a new strategy in risk reduction.
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Affiliation(s)
- Maria Lorenza Muiesan
- Clinical and Experimental Sciences Department, University of Brescia, Brescia, Italy
| | - Claudia Agabiti-Rosei
- Clinical and Experimental Sciences Department, University of Brescia, Brescia, Italy
| | - Anna Paini
- Clinical and Experimental Sciences Department, University of Brescia, Brescia, Italy
| | - Massimo Salvetti
- Clinical and Experimental Sciences Department, University of Brescia, Brescia, Italy
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31
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Adeyemo AA, Tekola-Ayele F, Doumatey AP, Bentley AR, Chen G, Huang H, Zhou J, Shriner D, Fasanmade O, Okafor G, Eghan B, Agyenim-Boateng K, Adeleye J, Balogun W, Elkahloun A, Chandrasekharappa S, Owusu S, Amoah A, Acheampong J, Johnson T, Oli J, Adebamowo C, Collins F, Dunston G, Rotimi CN. Evaluation of Genome Wide Association Study Associated Type 2 Diabetes Susceptibility Loci in Sub Saharan Africans. Front Genet 2015; 6:335. [PMID: 26635871 PMCID: PMC4656823 DOI: 10.3389/fgene.2015.00335] [Citation(s) in RCA: 45] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/27/2015] [Accepted: 11/09/2015] [Indexed: 01/31/2023] Open
Abstract
Genome wide association studies (GWAS) for type 2 diabetes (T2D) undertaken in European and Asian ancestry populations have yielded dozens of robustly associated loci. However, the genomics of T2D remains largely understudied in sub-Saharan Africa (SSA), where rates of T2D are increasing dramatically and where the environmental background is quite different than in these previous studies. Here, we evaluate 106 reported T2D GWAS loci in continental Africans. We tested each of these SNPs, and SNPs in linkage disequilibrium (LD) with these index SNPs, for an association with T2D in order to assess transferability and to fine map the loci leveraging the generally reduced LD of African genomes. The study included 1775 unrelated Africans (1035 T2D cases, 740 controls; mean age 54 years; 59% female) enrolled in Nigeria, Ghana, and Kenya as part of the Africa America Diabetes Mellitus (AADM) study. All samples were genotyped on the Affymetrix Axiom PanAFR SNP array. Forty-one of the tested loci showed transferability to this African sample (p < 0.05, same direction of effect), 11 at the exact reported SNP and 30 others at SNPs in LD with the reported SNP (after adjustment for the number of tested SNPs). TCF7L2 SNP rs7903146 was the most significant locus in this study (p = 1.61 × 10−8). Most of the loci that showed transferability were successfully fine-mapped, i.e., localized to smaller haplotypes than in the original reports. The findings indicate that the genetic architecture of T2D in SSA is characterized by several risk loci shared with non-African ancestral populations and that data from African populations may facilitate fine mapping of risk loci. The study provides an important resource for meta-analysis of African ancestry populations and transferability of novel loci.
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Affiliation(s)
- Adebowale A Adeyemo
- Center for Research on Genomics and Global Health, National Human Genome Research Institute, National Institutes of Health Bethesda, MD, USA
| | - Fasil Tekola-Ayele
- Center for Research on Genomics and Global Health, National Human Genome Research Institute, National Institutes of Health Bethesda, MD, USA
| | - Ayo P Doumatey
- Center for Research on Genomics and Global Health, National Human Genome Research Institute, National Institutes of Health Bethesda, MD, USA
| | - Amy R Bentley
- Center for Research on Genomics and Global Health, National Human Genome Research Institute, National Institutes of Health Bethesda, MD, USA
| | - Guanjie Chen
- Center for Research on Genomics and Global Health, National Human Genome Research Institute, National Institutes of Health Bethesda, MD, USA
| | - Hanxia Huang
- Center for Research on Genomics and Global Health, National Human Genome Research Institute, National Institutes of Health Bethesda, MD, USA
| | - Jie Zhou
- Center for Research on Genomics and Global Health, National Human Genome Research Institute, National Institutes of Health Bethesda, MD, USA
| | - Daniel Shriner
- Center for Research on Genomics and Global Health, National Human Genome Research Institute, National Institutes of Health Bethesda, MD, USA
| | | | - Godfrey Okafor
- Department of Medicine, University of Nigeria Teaching Hospital Enugu, Nigeria
| | - Benjamin Eghan
- Department of Medicine, University of Science and Technology Kumasi, Ghana
| | | | - Jokotade Adeleye
- Department of Medicine, College of Medicine, University of Ibadan Ibadan, Nigeria
| | - Williams Balogun
- Department of Medicine, College of Medicine, University of Ibadan Ibadan, Nigeria
| | - Abdel Elkahloun
- National Human Genome Research Institute, National Institutes of Health Bethesda, MD, USA
| | | | - Samuel Owusu
- Department of Medicine and Therapeutics, University of Ghana Medical School Accra, Ghana
| | - Albert Amoah
- Department of Medicine and Therapeutics, University of Ghana Medical School Accra, Ghana
| | - Joseph Acheampong
- Department of Medicine, University of Science and Technology Kumasi, Ghana
| | - Thomas Johnson
- Department of Medicine, University of Lagos Lagos, Nigeria
| | - Johnnie Oli
- Department of Medicine, University of Nigeria Teaching Hospital Enugu, Nigeria
| | - Clement Adebamowo
- Institute of Human Virology, School of Medicine, University of Maryland Baltimore, MD, USA
| | | | - Georgia Dunston
- National Human Genome Center at Howard University Washington, DC, USA
| | - Charles N Rotimi
- Center for Research on Genomics and Global Health, National Human Genome Research Institute, National Institutes of Health Bethesda, MD, USA
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Kim YS, Kim Y, Park G, Kim SK, Choe JY, Park BL, Kim HS. Genetic analysis of ABCG2 and SLC2A9 gene polymorphisms in gouty arthritis in a Korean population. Korean J Intern Med 2015; 30:913-20. [PMID: 26552468 PMCID: PMC4642022 DOI: 10.3904/kjim.2015.30.6.913] [Citation(s) in RCA: 18] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/01/2015] [Revised: 03/16/2015] [Accepted: 04/30/2015] [Indexed: 12/22/2022] Open
Abstract
BACKGROUND/AIMS Gout is a common inf lammatory arthritis triggered by the crystallization of uric acid in the joints. Serum uric acid levels are highly heritable, suggesting a strong genetic component. Independent studies to confirm the genetic associations with gout in various ethnic populations are warranted. We investigated the association of polymorphisms in the ABCG2 and SLC2A9 genes with gout in Korean patients and healthy individuals. METHODS We consecutively enrolled 109 patients with gout and 102 healthy controls. The diagnosis of gout was based on the preliminary criteria of the America College of Rheumatology. Genomic DNA was extracted from whole blood samples. We identified single nucleotide polymorphism (SNP) changes in the ABCG2 and SLC2A9 genes using a direct sequencing technique. rs2231142 in ABCG2 and rs6449213 and rs16890979 in SLC2A9 and nearby regions were amplified by polymerase chain reaction. RESULTS Patients with gout had significantly higher A/A genotype (29.3% vs. 4.9%, respectively) and A allele (52.8% vs. 26.5%, respectively) frequencies of rs2231142 in ABCG2 than did controls (χ(2) = 29.42, p < 0.001; odds ratio, 3.32; 95% confidence interval, 2.11 to 5.20). We found novel polymorphisms (c.881A>G and c.1002+78G>A) in the SLC2A9 gene. The univariate logistic regression analysis revealed that the c.881A>G and c.1002+78G>A SNPs were significantly higher in patients than in controls. CONCLUSIONS We demonstrated a significant association between rs2231142 in the ABCG2 gene and gout and identified novel SNPs, c.881A>G and c.1002+78G>A, in the SLC2A9 gene that may be associated with gout in a Korean population.
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Affiliation(s)
- Yun Sung Kim
- Department of Internal Medicine, Chosun University School of Medicine, Gwangju, Korea
| | - Yunsuek Kim
- Department of Internal Medicine, Soonchunhyang University Hospital, Seoul, Korea
| | - Geon Park
- Department of Clinical Pathology, Chosun University School of Medicine, Gwangju, Korea
| | - Seong-Kyu Kim
- Department of Internal Medicine, Catholic University of Daegu School of Medicine, Daegu, Korea
| | - Jung-Yoon Choe
- Department of Internal Medicine, Catholic University of Daegu School of Medicine, Daegu, Korea
| | - Byung Lae Park
- Department of Genetic Epidemiology, SNP Genetics Inc., Seoul, Korea
| | - Hyun Sook Kim
- Department of Internal Medicine, Soonchunhyang University Hospital, Seoul, Korea
- Correspondence to Hyun-Sook Kim, M.D. Division of Rheumatology, Department of Internal Medicine, Soonchunhyang University Hospital, 59 Daesagwan-ro, Yongsan-gu, Seoul 04401, Korea Tel: +82-2-710-3214 Fax: +82-2-709-9554 E-mail:
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Wu AH, Gladden JD, Ahmed M, Ahmed A, Filippatos G. Relation of serum uric acid to cardiovascular disease. Int J Cardiol 2015; 213:4-7. [PMID: 26341316 DOI: 10.1016/j.ijcard.2015.08.110] [Citation(s) in RCA: 131] [Impact Index Per Article: 13.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/10/2015] [Accepted: 08/10/2015] [Indexed: 12/22/2022]
Abstract
This review summarizes recent published literature on the association between serum uric acid and cardiovascular disease, a relationship which is complex and not fully elucidated. Uric acid may be a marker for risk, a causative agent in cardiovascular disease, or both. Various biologic factors can influence serum uric acid levels, and serum uric acid level itself is closely related to conditions such as hypertension, dyslipidemia, obesity, and impaired glucose metabolism, that contribute to cardiovascular disease pathophysiology. Serum uric acid levels have been found to be associated with adverse outcomes, including mortality, in the general population. In addition, serum uric acid is associated with increased risk for incident coronary heart disease, heart failure, and atrial fibrillation. In the setting of established systolic heart failure, serum uric acid is positively associated with disease severity and mortality risk. Whether targeting treatment based on uric acid levels might affect clinical outcomes is still being studied.
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Affiliation(s)
- Audrey H Wu
- Cardiovascular Center, University of Michigan Health Systems, Ann Arbor, MI, USA.
| | | | - Mustafa Ahmed
- University of Alabama School of Medicine, Birmingham, AL, USA
| | - Ali Ahmed
- University of Alabama School of Medicine, Birmingham, AL, USA
| | - Gerasimos Filippatos
- Heart Failure Unit, Department of Cardiology, University Hospital Attikon, Athens, Greece
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Dong Z, Zhao D, Yang C, Zhou J, Qian Q, Ma Y, He H, Ji H, Yang Y, Wang X, Xu X, Pang Y, Zou H, Jin L, Wang J. Common Variants in LRP2 and COMT Genes Affect the Susceptibility of Gout in a Chinese Population. PLoS One 2015; 10:e0131302. [PMID: 26147675 PMCID: PMC4493088 DOI: 10.1371/journal.pone.0131302] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/27/2015] [Accepted: 06/01/2015] [Indexed: 12/03/2022] Open
Abstract
Gout is a common inflammation disease resulting from an increase in serum uric acid. Nearly 70% of uric acid is excreted via the kidneys. To date, evidence for an association between genetic loci and gout is absent, equivocal or not replicated. Our study aims to test variants in two genes abundantly expressed in the kidney, LRP2 and COMT, for their association with uric acid and gout. In total, 1318 Chinese individuals were genotyped for rs2544390 in LRP2 and rs4680 in COMT. These LRP2 and COMT gene polymorphisms showed no significant effect on uric acid (P = 0.204 and 0.188, separately); however, rs2544390 in LRP2 did influence uric acid levels in individuals with BMI ≥ 25 (P = 0.009). In addition, the allele frequency distributions of the two loci showed a significant difference between gout patients and healthy controls. A missense variation in rs4680 (G > A) decreased the risk of gout (OR = 0.77, P = 0.015), whereas the T allele of rs2544390 was associated with gout pathogenesis risk (OR = 1.26, P = 0.020). The present study provides the first evidence for an association between COMT and gout. Rs2544390 in LRP2 only influenced uric acid levels in individuals with BMI ≥ 25, which might explain the discrepant results among previous studies. In addition, we are the first to identify the association between LRP2 and gout in a Chinese population and to confirm this association in Asians.
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Affiliation(s)
- Zheng Dong
- Ministry of Education Key Laboratory of Contemporary Anthropology, Collaborative Innovation Center for Genetics and Development, School of Life Sciences, Fudan University, Shanghai, China
| | - Dongbao Zhao
- Division of Rheumatology and Immunology, Changhai Hospital, Shanghai, China
| | - Chengde Yang
- Division of Rheumatology, Renji Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - Jingru Zhou
- Ministry of Education Key Laboratory of Contemporary Anthropology, Collaborative Innovation Center for Genetics and Development, School of Life Sciences, Fudan University, Shanghai, China
| | - Qiaoxia Qian
- Ministry of Education Key Laboratory of Contemporary Anthropology, Collaborative Innovation Center for Genetics and Development, School of Life Sciences, Fudan University, Shanghai, China
| | - Yanyun Ma
- Ministry of Education Key Laboratory of Contemporary Anthropology, Collaborative Innovation Center for Genetics and Development, School of Life Sciences, Fudan University, Shanghai, China
| | - Hongjun He
- Division of Rheumatology, Taixing People’s Hospital, Jiangsu Province, China
| | - Hengdong Ji
- Division of Rheumatology, Taizhou People’s Hospital, Jiangsu Province, China
| | - Yajun Yang
- Ministry of Education Key Laboratory of Contemporary Anthropology, Collaborative Innovation Center for Genetics and Development, School of Life Sciences, Fudan University, Shanghai, China
- Fudan-Taizhou Institute of Health Sciences, Taizhou, Jiangsu Province, China
| | - Xiaofeng Wang
- Ministry of Education Key Laboratory of Contemporary Anthropology, Collaborative Innovation Center for Genetics and Development, School of Life Sciences, Fudan University, Shanghai, China
- Fudan-Taizhou Institute of Health Sciences, Taizhou, Jiangsu Province, China
| | - Xia Xu
- Division of Rheumatology and Immunology, Changhai Hospital, Shanghai, China
| | - Yafei Pang
- Division of Rheumatology and Immunology, Changhai Hospital, Shanghai, China
| | - Hejian Zou
- Division of Rheumatology, Huashan Hospital, Fudan University, Shanghai, China
- Institute of Rheumatology, Immunology and Allergy, Fudan University, Shanghai, China
| | - Li Jin
- Ministry of Education Key Laboratory of Contemporary Anthropology, Collaborative Innovation Center for Genetics and Development, School of Life Sciences, Fudan University, Shanghai, China
- Fudan-Taizhou Institute of Health Sciences, Taizhou, Jiangsu Province, China
| | - Jiucun Wang
- Ministry of Education Key Laboratory of Contemporary Anthropology, Collaborative Innovation Center for Genetics and Development, School of Life Sciences, Fudan University, Shanghai, China
- Division of Rheumatology, Taixing People’s Hospital, Jiangsu Province, China
- Institute of Rheumatology, Immunology and Allergy, Fudan University, Shanghai, China
- * E-mail:
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Lam NN, Garg AX, Segev DL, Schnitzler MA, Xiao H, Axelrod D, Brennan DC, Kasiske BL, Tuttle-Newhall JE, Lentine KL. Gout after living kidney donation: correlations with demographic traits and renal complications. Am J Nephrol 2015; 41:231-40. [PMID: 25896309 DOI: 10.1159/000381291] [Citation(s) in RCA: 23] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/01/2015] [Accepted: 02/24/2015] [Indexed: 01/07/2023]
Abstract
BACKGROUND The demographic and clinical correlates of gout after living kidney donation are not well described. METHODS Using a unique database that integrates national registry identifiers of U.S. living kidney donors (1987-2007) with billing claims from a private health insurer (2000-2007), we identified post-donation gout based on medical diagnosis codes or pharmacy fills for gout therapies. The frequencies and demographic correlates of gout after donation were estimated by Cox regression with left- and right-censoring. We also compared the rates of renal diagnoses among donors with and without gout, matched in the ratio 1:3 by age, sex, and race. RESULTS The study sample of 4,650 donors included 13.1% African Americans. By seven years, African Americans were almost twice as likely to develop gout as Caucasian donors (4.4 vs. 2.4%; adjusted hazard ratio, aHR, 1.8; 95% confidence interval (CI) 1.0-3.2). Post-donation gout risk also increased with older age at donation (aHR per year 1.05) and was higher in men (aHR 2.80). Gout rates were similar in donors and age- and sex-matched general non-donors (rate ratio 0.86; 95% CI 0.66-1.13). Compared to matched donors without gout, donors with gout had more frequent renal diagnoses, reaching significance for acute kidney failure (rate ratio 12.5; 95% CI 1.5-107.0), chronic kidney disease (rate ratio 5.0; 95% CI 2.1-11.7), and other disorders of the kidney (rate ratio 2.2; 95% CI 1.2-4.2). CONCLUSION Donor subgroups at increased risk of gout include African Americans, older donors, and men. Donors with gout have a higher burden of renal complications after demographic adjustment.
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Affiliation(s)
- Ngan N Lam
- Division of Nephrology, Western University, London, Ont., Canada
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Huffman JE, Albrecht E, Teumer A, Mangino M, Kapur K, Johnson T, Kutalik Z, Pirastu N, Pistis G, Lopez LM, Haller T, Salo P, Goel A, Li M, Tanaka T, Dehghan A, Ruggiero D, Malerba G, Smith AV, Nolte IM, Portas L, Phipps-Green A, Boteva L, Navarro P, Johansson A, Hicks AA, Polasek O, Esko T, Peden JF, Harris SE, Murgia F, Wild SH, Tenesa A, Tin A, Mihailov E, Grotevendt A, Gislason GK, Coresh J, D'Adamo P, Ulivi S, Vollenweider P, Waeber G, Campbell S, Kolcic I, Fisher K, Viigimaa M, Metter JE, Masciullo C, Trabetti E, Bombieri C, Sorice R, Döring A, Reischl E, Strauch K, Hofman A, Uitterlinden AG, Waldenberger M, Wichmann HE, Davies G, Gow AJ, Dalbeth N, Stamp L, Smit JH, Kirin M, Nagaraja R, Nauck M, Schurmann C, Budde K, Farrington SM, Theodoratou E, Jula A, Salomaa V, Sala C, Hengstenberg C, Burnier M, Mägi R, Klopp N, Kloiber S, Schipf S, Ripatti S, Cabras S, Soranzo N, Homuth G, Nutile T, Munroe PB, Hastie N, Campbell H, Rudan I, Cabrera C, Haley C, Franco OH, Merriman TR, Gudnason V, Pirastu M, Penninx BW, Snieder H, Metspalu A, Ciullo M, Pramstaller PP, van Duijn CM, Ferrucci L, Gambaro G, Deary IJ, Dunlop MG, Wilson JF, Gasparini P, Gyllensten U, Spector TD, Wright AF, Hayward C, Watkins H, Perola M, Bochud M, Kao WHL, Caulfield M, Toniolo D, Völzke H, Gieger C, Köttgen A, Vitart V. Modulation of genetic associations with serum urate levels by body-mass-index in humans. PLoS One 2015; 10:e0119752. [PMID: 25811787 PMCID: PMC4374966 DOI: 10.1371/journal.pone.0119752] [Citation(s) in RCA: 37] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/13/2014] [Accepted: 02/03/2015] [Indexed: 11/17/2022] Open
Abstract
We tested for interactions between body mass index (BMI) and common genetic variants affecting serum urate levels, genome-wide, in up to 42569 participants. Both stratified genome-wide association (GWAS) analyses, in lean, overweight and obese individuals, and regression-type analyses in a non BMI-stratified overall sample were performed. The former did not uncover any novel locus with a major main effect, but supported modulation of effects for some known and potentially new urate loci. The latter highlighted a SNP at RBFOX3 reaching genome-wide significant level (effect size 0.014, 95% CI 0.008-0.02, Pinter= 2.6 x 10-8). Two top loci in interaction term analyses, RBFOX3 and ERO1LB-EDARADD, also displayed suggestive differences in main effect size between the lean and obese strata. All top ranking loci for urate effect differences between BMI categories were novel and most had small magnitude but opposite direction effects between strata. They include the locus RBMS1-TANK (men, Pdifflean-overweight= 4.7 x 10-8), a region that has been associated with several obesity related traits, and TSPYL5 (men, Pdifflean-overweight= 9.1 x 10-8), regulating adipocytes-produced estradiol. The top-ranking known urate loci was ABCG2, the strongest known gout risk locus, with an effect halved in obese compared to lean men (Pdifflean-obese= 2 x 10-4). Finally, pathway analysis suggested a role for N-glycan biosynthesis as a prominent urate-associated pathway in the lean stratum. These results illustrate a potentially powerful way to monitor changes occurring in obesogenic environment.
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Affiliation(s)
- Jennifer E Huffman
- Medical Research Council (MRC) Human Genetics Unit, MRC Institute of Genetics and Molecular Medicine (IGMM), University of Edinburgh, Edinburgh, United Kingdom
| | - Eva Albrecht
- Institute of Genetic Epidemiology, Helmholtz Zentrum München-German Research Center for Environmental Health, Neuherberg, Germany
| | - Alexander Teumer
- Interfaculty Institute for Genetics and Functional Genomics, Ernst-Moritz-Arndt-University Greifswald, Greifswald, Germany
| | - Massimo Mangino
- King's College London, St. Thomas' Hospital Campus, London, United Kingdom
| | - Karen Kapur
- Department of Medical Genetics, University of Lausanne, Lausanne, Switzerland; Swiss Institute of Bioinformatics, Lausanne, Switzerland
| | - Toby Johnson
- William Harvey Research Institute, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, London, United Kingdom
| | - Zoltán Kutalik
- Department of Medical Genetics, University of Lausanne, Lausanne, Switzerland; Swiss Institute of Bioinformatics, Lausanne, Switzerland
| | - Nicola Pirastu
- Institute for Maternal and Child Health-Istituto Di Ricovero e Cura a Carattere Scientifico (IRCCS) "Burlo Garofolo", Trieste, Italy; University of Trieste, Trieste, Italy
| | - Giorgio Pistis
- Division of Genetics and Cell Biology, San Raffaele Scientific Institute, Milano, Italy
| | - Lorna M Lopez
- Department of Psychology, The University of Edinburgh, Edinburgh, United Kingdom; Centre for Cognitive Ageing and Cognitive Epidemiology, The University of Edinburgh, Edinburgh, United Kingdom
| | - Toomas Haller
- Estonian Genome Center, University of Tartu, Tartu, Estonia
| | - Perttu Salo
- Department of Chronic Disease Prevention, National Institute for Health and Welfare (THL), Helsinki, Finland
| | - Anuj Goel
- Department of Cardiovascular Medicine, Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford, United Kingdom
| | - Man Li
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, United States of America
| | - Toshiko Tanaka
- Clinical Research Branch, National Institute on Aging, Baltimore, MD, United States of America
| | - Abbas Dehghan
- Member of Netherlands Consortium for Healthy Aging (NCHA) sponsored by Netherlands Genomics Initiative (NGI), Leiden, The Netherlands; Department of Epidemiology, Erasmus Medical Center, Rotterdam, The Netherlands
| | - Daniela Ruggiero
- Institute of Genetics and Biophysics "A. Buzzati-Traverso"-Consiglio Nazionale delle Ricerche (CNR), Naples, Italy
| | - Giovanni Malerba
- Biology and Genetics section, Department of Life and Reproduction Sciences, University of Verona, Verona, Italy
| | - Albert V Smith
- Icelandic Heart Association Research Institute, Kopavogur, Iceland; University of Iceland, Reykjavik, Iceland
| | - Ilja M Nolte
- Department of Epidemiology, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
| | - Laura Portas
- Institute of Population Genetics, National Research Council of Italy, Sassari, Italy
| | | | - Lora Boteva
- Medical Research Council (MRC) Human Genetics Unit, MRC Institute of Genetics and Molecular Medicine (IGMM), University of Edinburgh, Edinburgh, United Kingdom
| | - Pau Navarro
- Medical Research Council (MRC) Human Genetics Unit, MRC Institute of Genetics and Molecular Medicine (IGMM), University of Edinburgh, Edinburgh, United Kingdom
| | - Asa Johansson
- Uppsala Clinical Research Center, Uppsala University Hospital, Upsalla, Sweden; Department of Immunology, Genetics and Pathology, Rudbeck Laboratory, Uppsala University, Uppsala, 751 85, Sweden
| | - Andrew A Hicks
- Center for Biomedicine, European Academy Bozen/Bolzano (EURAC), Bolzano, Italy; Affiliated Institute of the University of Lübeck, Lübeck, Germany
| | - Ozren Polasek
- Faculty of Medicine, University of Split, Croatia, Soltanska 2, Split, 21000, Croatia
| | - Tõnu Esko
- Estonian Genome Center, University of Tartu, Tartu, Estonia; Broad Institute, Cambridge, MA, United States of America; Children's Hospital Boston, Boston, MA, United States of America
| | - John F Peden
- Department of Cardiovascular Medicine, Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford, United Kingdom
| | - Sarah E Harris
- Centre for Cognitive Ageing and Cognitive Epidemiology, The University of Edinburgh, Edinburgh, United Kingdom; Medical Genetics Section, University of Edinburgh Centre for Genomics and Experimental Medicine and MRC Institute of Genetics and Molecular Medicine, Edinburgh, United Kingdom
| | - Federico Murgia
- Institute of Population Genetics, National Research Council of Italy, Sassari, Italy
| | - Sarah H Wild
- Institute of Population Health Sciences and Informatics, University of Edinburgh, Edinburgh, Scotland, United Kingdom
| | - Albert Tenesa
- Medical Research Council (MRC) Human Genetics Unit, MRC Institute of Genetics and Molecular Medicine (IGMM), University of Edinburgh, Edinburgh, United Kingdom; Roslin Institute, The University of Edinburgh, Edinburgh, United Kingdom
| | - Adrienne Tin
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, United States of America
| | | | - Anne Grotevendt
- Institute of Clinical Chemistry and Laboratory Medicine, University Medicine Greifswald, Ernst-Moritz-Arndt University Greifswald, Greifswald, Germany
| | - Gauti K Gislason
- Icelandic Heart Association Research Institute, Kopavogur, Iceland
| | - Josef Coresh
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, United States of America; Welch Center for Prevention, Epidemiology and Clinical Research, John Hopkins University, Baltimore, MD, United States of America
| | - Pio D'Adamo
- Institute for Maternal and Child Health-Istituto Di Ricovero e Cura a Carattere Scientifico (IRCCS) "Burlo Garofolo", Trieste, Italy; University of Trieste, Trieste, Italy
| | - Sheila Ulivi
- Institute for Maternal and Child Health-Istituto Di Ricovero e Cura a Carattere Scientifico (IRCCS) "Burlo Garofolo", Trieste, Italy
| | - Peter Vollenweider
- Department of Medicine, Internal Medicine, Lausanne University Hospital, Lausanne, Switzerland
| | - Gerard Waeber
- Department of Medicine, Internal Medicine, Lausanne University Hospital, Lausanne, Switzerland
| | - Susan Campbell
- Medical Research Council (MRC) Human Genetics Unit, MRC Institute of Genetics and Molecular Medicine (IGMM), University of Edinburgh, Edinburgh, United Kingdom
| | - Ivana Kolcic
- Faculty of Medicine, University of Split, Croatia, Soltanska 2, Split, 21000, Croatia
| | - Krista Fisher
- Estonian Genome Center, University of Tartu, Tartu, Estonia
| | - Margus Viigimaa
- Tallinn University of Technology, Department of Biomedical Engineering, Chair of Medical Physics, Tallinn, Estonia; Centre of Cardiology, North Estonia Medical Centre, Tallinn, Estonia
| | - Jeffrey E Metter
- Clinical Research Branch, National Institute on Aging, Baltimore, MD, United States of America
| | - Corrado Masciullo
- Division of Genetics and Cell Biology, San Raffaele Scientific Institute, Milano, Italy
| | - Elisabetta Trabetti
- Biology and Genetics section, Department of Life and Reproduction Sciences, University of Verona, Verona, Italy
| | - Cristina Bombieri
- Biology and Genetics section, Department of Life and Reproduction Sciences, University of Verona, Verona, Italy
| | - Rossella Sorice
- Institute of Genetics and Biophysics "A. Buzzati-Traverso"-Consiglio Nazionale delle Ricerche (CNR), Naples, Italy
| | - Angela Döring
- Institute of Epidemiology II, Helmholtz Zentrum München-German Research Center for Environmental Health, Neuherberg, Germany; Institute of Epidemiology I, Helmholtz Zentrum München-German Research Center for Environmental Health, Neuherberg, Germany
| | - Eva Reischl
- Institute of Epidemiology II, Helmholtz Zentrum München-German Research Center for Environmental Health, Neuherberg, Germany; Research Unit of Molecular Epidemiology, Helmholtz Zentrum München-German Research Center for Environmental Health, Neuherberg, Germany
| | - Konstantin Strauch
- Institute of Genetic Epidemiology, Helmholtz Zentrum München-German Research Center for Environmental Health, Neuherberg, Germany; Institute of Medical Informatics, Biometry and Epidemiology, Chair of Genetic Epidemiology, Ludwig-Maximilians-University, Munich, Germany
| | - Albert Hofman
- Member of Netherlands Consortium for Healthy Aging (NCHA) sponsored by Netherlands Genomics Initiative (NGI), Leiden, The Netherlands; Department of Epidemiology, Erasmus Medical Center, Rotterdam, The Netherlands
| | - Andre G Uitterlinden
- Member of Netherlands Consortium for Healthy Aging (NCHA) sponsored by Netherlands Genomics Initiative (NGI), Leiden, The Netherlands; Department of Epidemiology, Erasmus Medical Center, Rotterdam, The Netherlands
| | - Melanie Waldenberger
- Institute of Epidemiology II, Helmholtz Zentrum München-German Research Center for Environmental Health, Neuherberg, Germany; Research Unit of Molecular Epidemiology, Helmholtz Zentrum München-German Research Center for Environmental Health, Neuherberg, Germany
| | - H-Erich Wichmann
- Institute of Epidemiology I, Helmholtz Zentrum München-German Research Center for Environmental Health, Neuherberg, Germany; Institute of Medical Informatics, Biometry and Epidemiology, Chair of Genetic Epidemiology, Ludwig-Maximilians-University, Munich, Germany; Klinikum Grosshadern, Munich, Germany
| | - Gail Davies
- Department of Psychology, The University of Edinburgh, Edinburgh, United Kingdom; Centre for Cognitive Ageing and Cognitive Epidemiology, The University of Edinburgh, Edinburgh, United Kingdom
| | - Alan J Gow
- Department of Psychology, The University of Edinburgh, Edinburgh, United Kingdom; Centre for Cognitive Ageing and Cognitive Epidemiology, The University of Edinburgh, Edinburgh, United Kingdom
| | - Nicola Dalbeth
- Bone and Joint Research Group, Department of Medicine, University of Auckland, Auckland, New Zealand
| | - Lisa Stamp
- Department of Medicine, University of Otago, Christchurch, New Zealand
| | - Johannes H Smit
- Department of Psychiatry/EMGO Institute, VU University Medical Centre, Amsterdam, the Netherlands
| | - Mirna Kirin
- Institute of Population Health Sciences and Informatics, University of Edinburgh, Edinburgh, Scotland, United Kingdom
| | - Ramaiah Nagaraja
- Laboratory of Genetics, National Institute on Aging (NIA), Baltimore, MD, United States of America
| | - Matthias Nauck
- Institute of Clinical Chemistry and Laboratory Medicine, University Medicine Greifswald, Ernst-Moritz-Arndt University Greifswald, Greifswald, Germany
| | - Claudia Schurmann
- Interfaculty Institute for Genetics and Functional Genomics, Ernst-Moritz-Arndt-University Greifswald, Greifswald, Germany
| | - Kathrin Budde
- Institute of Clinical Chemistry and Laboratory Medicine, University Medicine Greifswald, Ernst-Moritz-Arndt University Greifswald, Greifswald, Germany
| | - Susan M Farrington
- Medical Research Council (MRC) Human Genetics Unit, MRC Institute of Genetics and Molecular Medicine (IGMM), University of Edinburgh, Edinburgh, United Kingdom
| | - Evropi Theodoratou
- Institute of Population Health Sciences and Informatics, University of Edinburgh, Edinburgh, Scotland, United Kingdom
| | - Antti Jula
- Department of Chronic Disease Prevention, National Institute for Health and Welfare (THL), Turku, Finland
| | - Veikko Salomaa
- Department of Chronic Disease Prevention, National Institute for Health and Welfare (THL), Helsinki, Finland
| | - Cinzia Sala
- Division of Genetics and Cell Biology, San Raffaele Scientific Institute, Milano, Italy
| | | | - Michel Burnier
- Department of Medicine, Nephrology Division, Lausanne University Hospital, Lausanne, Switzerland
| | - Reedik Mägi
- Estonian Genome Center, University of Tartu, Tartu, Estonia
| | - Norman Klopp
- Institute of Medical Informatics, Biometry and Epidemiology, Chair of Genetic Epidemiology, Ludwig-Maximilians-University, Munich, Germany
| | | | - Sabine Schipf
- Institute for Community Medicine, University Medicine Greifswald, Greifswald, Germany
| | - Samuli Ripatti
- Department of Chronic Disease Prevention, National Institute for Health and Welfare (THL), Turku, Finland; Human Genetics, Wellcome Trust Sanger Institute, Hinxton, United Kingdom; University of Helsinki, Institute of Molecular Medicine, Helsinki, Finland
| | - Stefano Cabras
- Department of Mathematics and Informatics, Università di Cagliari, Cagliari, Italy; Department of Statistics, Universidad Carlos III de Madrid, Madrid, Spain
| | - Nicole Soranzo
- Human Genetics, Wellcome Trust Sanger Institute, Hinxton, United Kingdom
| | - Georg Homuth
- Interfaculty Institute for Genetics and Functional Genomics, Ernst-Moritz-Arndt-University Greifswald, Greifswald, Germany
| | - Teresa Nutile
- Institute of Genetics and Biophysics "A. Buzzati-Traverso"-Consiglio Nazionale delle Ricerche (CNR), Naples, Italy
| | - Patricia B Munroe
- William Harvey Research Institute, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, London, United Kingdom
| | - Nicholas Hastie
- Medical Research Council (MRC) Human Genetics Unit, MRC Institute of Genetics and Molecular Medicine (IGMM), University of Edinburgh, Edinburgh, United Kingdom
| | - Harry Campbell
- Institute of Population Health Sciences and Informatics, University of Edinburgh, Edinburgh, Scotland, United Kingdom
| | - Igor Rudan
- Faculty of Medicine, University of Split, Croatia, Soltanska 2, Split, 21000, Croatia; Institute of Population Health Sciences and Informatics, University of Edinburgh, Edinburgh, Scotland, United Kingdom
| | | | - Chris Haley
- Medical Research Council (MRC) Human Genetics Unit, MRC Institute of Genetics and Molecular Medicine (IGMM), University of Edinburgh, Edinburgh, United Kingdom; Roslin Institute, The University of Edinburgh, Edinburgh, United Kingdom
| | - Oscar H Franco
- Member of Netherlands Consortium for Healthy Aging (NCHA) sponsored by Netherlands Genomics Initiative (NGI), Leiden, The Netherlands; Department of Epidemiology, Erasmus Medical Center, Rotterdam, The Netherlands
| | - Tony R Merriman
- Department of Biochemistry, University of Otago, Dunedin, New Zealand
| | - Vilmundur Gudnason
- Icelandic Heart Association Research Institute, Kopavogur, Iceland; University of Iceland, Reykjavik, Iceland
| | - Mario Pirastu
- Institute of Population Genetics, National Research Council of Italy, Sassari, Italy
| | - Brenda W Penninx
- Department of Psychiatry, Leiden University Medical Center, Leiden, The Netherlands; Department of Epidemiology, Subdivision Genetic Epidemiology, Erasmus MC, Rotterdam, The Netherlands; Department of Internal Medicine, Erasmus MC, Rotterdam, The Netherlands
| | - Harold Snieder
- Department of Epidemiology, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
| | | | - Marina Ciullo
- Institute of Genetics and Biophysics "A. Buzzati-Traverso"-Consiglio Nazionale delle Ricerche (CNR), Naples, Italy
| | - Peter P Pramstaller
- Center for Biomedicine, European Academy Bozen/Bolzano (EURAC), Bolzano, Italy; Affiliated Institute of the University of Lübeck, Lübeck, Germany
| | - Cornelia M van Duijn
- Department of Epidemiology, Subdivision Genetic Epidemiology, Erasmus MC, Rotterdam, The Netherlands
| | - Luigi Ferrucci
- Clinical Research Branch, National Institute on Aging, Baltimore, MD, United States of America
| | - Giovanni Gambaro
- Institute of Internal Medicine, Renal Program, Columbus-Gemelli University Hospital, Catholic University, Rome, Italy
| | - Ian J Deary
- Department of Psychology, The University of Edinburgh, Edinburgh, United Kingdom; Centre for Cognitive Ageing and Cognitive Epidemiology, The University of Edinburgh, Edinburgh, United Kingdom
| | - Malcolm G Dunlop
- Medical Research Council (MRC) Human Genetics Unit, MRC Institute of Genetics and Molecular Medicine (IGMM), University of Edinburgh, Edinburgh, United Kingdom
| | - James F Wilson
- Institute of Population Health Sciences and Informatics, University of Edinburgh, Edinburgh, Scotland, United Kingdom
| | - Paolo Gasparini
- Institute for Maternal and Child Health-Istituto Di Ricovero e Cura a Carattere Scientifico (IRCCS) "Burlo Garofolo", Trieste, Italy; University of Trieste, Trieste, Italy
| | - Ulf Gyllensten
- Department of Immunology, Genetics and Pathology, Rudbeck Laboratory, Uppsala University, Uppsala, 751 85, Sweden
| | - Tim D Spector
- King's College London, St. Thomas' Hospital Campus, London, United Kingdom
| | - Alan F Wright
- Medical Research Council (MRC) Human Genetics Unit, MRC Institute of Genetics and Molecular Medicine (IGMM), University of Edinburgh, Edinburgh, United Kingdom
| | - Caroline Hayward
- Medical Research Council (MRC) Human Genetics Unit, MRC Institute of Genetics and Molecular Medicine (IGMM), University of Edinburgh, Edinburgh, United Kingdom
| | - Hugh Watkins
- on behalf of PROCARDIS; Department of Cardiovascular Medicine, Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford, United Kingdom
| | - Markus Perola
- Estonian Genome Center, University of Tartu, Tartu, Estonia; Department of Chronic Disease Prevention, National Institute for Health and Welfare (THL), Helsinki, Finland; University of Helsinki, Institute of Molecular Medicine, Helsinki, Finland
| | - Murielle Bochud
- University Institute of Social and Preventive Medicine, Lausanne, Switzerland
| | - W H Linda Kao
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, United States of America; Welch Center for Prevention, Epidemiology and Clinical Research, John Hopkins University, Baltimore, MD, United States of America
| | - Mark Caulfield
- William Harvey Research Institute, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, London, United Kingdom
| | - Daniela Toniolo
- Division of Genetics and Cell Biology, San Raffaele Scientific Institute, Milano, Italy
| | - Henry Völzke
- Institute for Community Medicine, University Medicine Greifswald, Greifswald, Germany
| | - Christian Gieger
- Institute of Genetic Epidemiology, Helmholtz Zentrum München-German Research Center for Environmental Health, Neuherberg, Germany
| | - Anna Köttgen
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, United States of America; Renal Division, Freiburg University Hospital, Freiburg, Germany
| | - Veronique Vitart
- Medical Research Council (MRC) Human Genetics Unit, MRC Institute of Genetics and Molecular Medicine (IGMM), University of Edinburgh, Edinburgh, United Kingdom
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Affiliation(s)
- Asim K. Mandal
- Renal Divisions, Brigham and Women's Hospital and VA Boston Healthcare System, Harvard Medical School, Boston, Massachusetts 02115;
| | - David B. Mount
- Renal Divisions, Brigham and Women's Hospital and VA Boston Healthcare System, Harvard Medical School, Boston, Massachusetts 02115;
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Xing SC, Wang XF, Miao ZM, Zhang XZ, Zheng J, Yuan Y. Association of an Exon SNP of SLC2A9 Gene with Hyperuricemia Complicated with Type 2 Diabetes Mellitus in the Chinese Male Han Population. Cell Biochem Biophys 2014; 71:1335-9. [PMID: 25476142 DOI: 10.1007/s12013-014-0353-2] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/19/2023]
Abstract
Several recent genome-wide association studies and following studies have identified that genetic variants of SLC2A9 are associated with hyperuricemia (HUA) and diabetes mellitus (DM). Here, we set to investigate whether the exon 9 of SLC2A9 gene variations is associated with HUA complicated with Type 2 DM (T2DM) in the Chinese male Han population. The present study was designed to study rs2280205 polymorphism in exon 9 of SLC2A9 in 232 Chinese male subjects. Rs2280205 locus was genotyped in 52 T2DM subjects, 65 HUA subjects, 55 subjects with HUA complicated with T2DM, as well as 60 control subjects in this study. DNA from peripheral blood was purified and amplified by polymerase chain reaction (PCR). The PCR products were then digested by restriction enzyme MSPI, and part of PCR products was sequenced and analyzed. There was no significant difference in the levels of cholesterol, creatinine, and urea nitrogen between the Control Group and the HUA group. There was also no significant difference in levels of cholesterol between the DM group and Control Group. No significant difference in cholesterol and uric acid was observed between the HUA group and the HUA accompanied with DM group (P > 0.05). However, there was no statistical significance in the genotype frequency in these groups (P > 0.01). Results of the present study suggest that the exon 9 of SLC2A9 gene 109C/T polymorphism is not associated with HUA and diabetes in population living in the coastal area of Shandong province, China.
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Affiliation(s)
- Shi-Chao Xing
- The Affiliated Hospital of Qingdao University, Qingdao, 266003, People's Republic of China.. .,Key Laboratory of Metabolic Diseases, Qingdao, Shandong Province, People's Republic of China..
| | - Xu-Fu Wang
- The Affiliated Hospital of Qingdao University, Qingdao, 266003, People's Republic of China
| | - Zhi-Min Miao
- The Affiliated Hospital of Qingdao University, Qingdao, 266003, People's Republic of China
| | - Xue-Zhi Zhang
- The Affiliated Hospital of Qingdao University, Qingdao, 266003, People's Republic of China
| | - Jun Zheng
- The People's Hospital of Linqu County, Weifang, Shandong Province, People's Republic of China
| | - Ying Yuan
- The Affiliated Hospital of Qingdao University, Qingdao, 266003, People's Republic of China..
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Peprah E, Xu H, Tekola-Ayele F, Royal CD. Genome-wide association studies in Africans and African Americans: expanding the framework of the genomics of human traits and disease. Public Health Genomics 2014; 18:40-51. [PMID: 25427668 DOI: 10.1159/000367962] [Citation(s) in RCA: 59] [Impact Index Per Article: 5.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/28/2014] [Accepted: 08/29/2014] [Indexed: 01/11/2023] Open
Abstract
Genomic research is one of the tools for elucidating the pathogenesis of diseases of global health relevance and paving the research dimension to clinical and public health translation. Recent advances in genomic research and technologies have increased our understanding of human diseases, genes associated with these disorders, and the relevant mechanisms. Genome-wide association studies (GWAS) have proliferated since the first studies were published several years ago and have become an important tool in helping researchers comprehend human variation and the role genetic variants play in disease. However, the need to expand the diversity of populations in GWAS has become increasingly apparent as new knowledge is gained about genetic variation. Inclusion of diverse populations in genomic studies is critical to a more complete understanding of human variation and elucidation of the underpinnings of complex diseases. In this review, we summarize the available data on GWAS in recent African ancestry populations within the western hemisphere (i.e. African Americans and peoples of the Caribbean) and continental African populations. Furthermore, we highlight ways in which genomic studies in populations of recent African ancestry have led to advances in the areas of malaria, HIV, prostate cancer, and other diseases. Finally, we discuss the advantages of conducting GWAS in recent African ancestry populations in the context of addressing existing and emerging global health conditions.
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Abstract
Gout is a common inflammatory arthritis triggered by the crystallization of uric acid within the joints. Gout affects millions worldwide and has an increasing prevalence. Recent research has been carried out to better qualify and quantify the risk factors predisposing individuals to gout. These can largely be broken into nonmodifiable risk factors, such as gender, age, race, and genetics, and modifiable risk factors, such as diet and lifestyle. Increasing knowledge of factors predisposing certain individuals to gout could potentially lead to improved preventive practices. This review summarizes the nonmodifiable and modifiable risk factors associated with development of gout.
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Affiliation(s)
- Lindsey A MacFarlane
- Department of Medicine, Brigham and Women's Hospital, 75 Francis Street, Boston, MA 02115, USA
| | - Seoyoung C Kim
- Division of Pharmacoepidemiology and Pharmacoeconomics, Brigham and Women's Hospital, 1620 Tremont Street, Suite 3030, Boston, MA 02120, USA; Division of Rheumatology, Allergy and Immunology, Brigham and Women's Hospital, 75 Francis Street, Boston, MA 02115, USA.
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Li YR, Keating BJ. Trans-ethnic genome-wide association studies: advantages and challenges of mapping in diverse populations. Genome Med 2014; 6:91. [PMID: 25473427 PMCID: PMC4254423 DOI: 10.1186/s13073-014-0091-5] [Citation(s) in RCA: 124] [Impact Index Per Article: 11.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/30/2022] Open
Abstract
Genome-wide association studies (GWASs) are the method most often used by geneticists to interrogate the human genome, and they provide a cost-effective way to identify the genetic variants underpinning complex traits and diseases. Most initial GWASs have focused on genetically homogeneous cohorts from European populations given the limited availability of ethnic minority samples and so as to limit population stratification effects. Transethnic studies have been invaluable in explaining the heritability of common quantitative traits, such as height, and in examining the genetic architecture of complex diseases, such as type 2 diabetes. They provide an opportunity for large-scale signal replication in independent populations and for cross-population meta-analyses to boost statistical power. In addition, transethnic GWASs enable prioritization of candidate genes, fine-mapping of functional variants, and potentially identification of SNPs associated with disease risk in admixed populations, by taking advantage of natural differences in genomic linkage disequilibrium across ethnically diverse populations. Recent efforts to assess the biological function of variants identified by GWAS have highlighted the need for large-scale replication, meta-analyses and fine-mapping across worldwide populations of ethnically diverse genetic ancestries. Here, we review recent advances and new approaches that are important to consider when performing, designing or interpreting transethnic GWASs, and we highlight existing challenges, such as the limited ability to handle heterogeneity in linkage disequilibrium across populations and limitations in dissecting complex architectures, such as those found in recently admixed populations.
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Affiliation(s)
- Yun R Li
- />The Center for Applied Genomics, 1,016 Abramson Building, The Children’s Hospital of Philadelphia, Philadelphia, 19104 PA USA
- />Medical Scientist Training Program, Perelman School of Medicine, University of Pennsylvania, Philadelphia, 19104 PA USA
| | - Brendan J Keating
- />The Center for Applied Genomics, 1,016 Abramson Building, The Children’s Hospital of Philadelphia, Philadelphia, 19104 PA USA
- />Department of Pediatrics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, 19104 PA USA
- />Department of Surgery, Division of Transplantation, Perelman School of Medicine, University of Pennsylvania, Philadelphia, 19104 PA USA
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Abstract
PURPOSE African Americans have a substantially higher prevalence of risk factors for gout than Caucasians. The aim of the present study was to compare the risk for incident gout among African Americans and Caucasians. METHODS Incidence rates of physician-diagnosed gout among 11,559 Caucasian men and 931 African American men aged 35 to 57 years and at high cardiovascular risk, observed for 7 years as a part of the Multiple Risk Factor Intervention Trial, were analyzed. Cox regression models were used to account for potential confounding by age, body mass index, diuretic use, hypertension and diabetes status, aspirin and alcohol consumption, and kidney disease. RESULTS At baseline, after accounting for risk factors, African Americans had a 14% lower prevalence of hyperuricemia than Caucasians. Incidence of gout increased with increasing prevalence of risk factors in both Caucasians and African Americans. Ethnic disparities in incidence rates were most apparent among those without other risk factors for gout. In separate Cox regression models, after accounting for risk factors, African American ethnicity was associated with a hazard ratio of 0.78 (95% confidence interval [CI], 0.66-0.93) for physician-diagnosed gout and 0.88 (95% CI, 0.85-0.90) for incident hyperuricemia. Significant interactions were observed; the association was the strongest (hazard ratio 0.47; 0.37-0.60). These associations were unaffected by addition of serum urate as a covariate or by using alternate case definitions for gout. CONCLUSIONS After accounting for the higher prevalence of risk factors, African American ethnicity is associated with a significantly lower risk for gout and hyperuricemia compared with Caucasian ethnicity.
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Affiliation(s)
- Eswar Krishnan
- Department of Medicine, Stanford University School of Medicine, Palo Alto, Calif.
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Scharpf RB, Mireles L, Yang Q, Köttgen A, Ruczinski I, Susztak K, Halper-Stromberg E, Tin A, Cristiano S, Chakravarti A, Boerwinkle E, Fox CS, Coresh J, Linda Kao WH. Copy number polymorphisms near SLC2A9 are associated with serum uric acid concentrations. BMC Genet 2014; 15:81. [PMID: 25007794 PMCID: PMC4118309 DOI: 10.1186/1471-2156-15-81] [Citation(s) in RCA: 16] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2014] [Accepted: 06/30/2014] [Indexed: 11/10/2022] Open
Abstract
Background Hyperuricemia is associated with multiple diseases, including gout, cardiovascular disease, and renal disease. Serum urate is highly heritable, yet association studies of single nucleotide polymorphisms (SNPs) and serum uric acid explain a small fraction of the heritability. Whether copy number polymorphisms (CNPs) contribute to uric acid levels is unknown. Results We assessed copy number on a genome-wide scale among 8,411 individuals of European ancestry (EA) who participated in the Atherosclerosis Risk in Communities (ARIC) study. CNPs upstream of the urate transporter SLC2A9 on chromosome 4p16.1 are associated with uric acid (χ2df2=3545, p=3.19×10-23). Effect sizes, expressed as the percentage change in uric acid per deleted copy, are most pronounced among women (3.974.935.87 [ 2.55097.5 denoting percentiles], p=4.57×10-23) and independent of previously reported SNPs in SLC2A9 as assessed by SNP and CNP regression models and the phasing SNP and CNP haplotypes (χ2df2=3190,p=7.23×10-08). Our finding is replicated in the Framingham Heart Study (FHS), where the effect size estimated from 4,089 women is comparable to ARIC in direction and magnitude (1.414.707.88, p=5.46×10-03). Conclusions This is the first study to characterize CNPs in ARIC and the first genome-wide analysis of CNPs and uric acid. Our findings suggests a novel, non-coding regulatory mechanism for SLC2A9-mediated modulation of serum uric acid, and detail a bioinformatic approach for assessing the contribution of CNPs to heritable traits in large population-based studies where technical sources of variation are substantial.
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Affiliation(s)
- Robert B Scharpf
- 550 N, Broadway, Suite 1101, Department of Oncology, Johns Hopkins School of Medicine, Baltimore, Maryland 21205, USA.
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Wu T, Schwender H, Ruczinski I, Murray JC, Marazita ML, Munger RG, Hetmanski JB, Parker MM, Wang P, Murray T, Taub M, Li S, Redett RJ, Fallin MD, Liang KY, Wu-Chou YH, Chong SS, Yeow V, Ye X, Wang H, Huang S, Jabs EW, Shi B, Wilcox AJ, Jee SH, Scott AF, Beaty TH. Evidence of gene-environment interaction for two genes on chromosome 4 and environmental tobacco smoke in controlling the risk of nonsyndromic cleft palate. PLoS One 2014; 9:e88088. [PMID: 24516586 PMCID: PMC3916361 DOI: 10.1371/journal.pone.0088088] [Citation(s) in RCA: 28] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/01/2013] [Accepted: 01/06/2014] [Indexed: 11/18/2022] Open
Abstract
Nonsyndromic cleft palate (CP) is one of the most common human birth defects and both genetic and environmental risk factors contribute to its etiology. We conducted a genome-wide association study (GWAS) using 550 CP case-parent trios ascertained in an international consortium. Stratified analysis among trios with different ancestries was performed to test for GxE interactions with common maternal exposures using conditional logistic regression models. While no single nucleotide polymorphism (SNP) achieved genome-wide significance when considered alone, markers in SLC2A9 and the neighboring WDR1 on chromosome 4p16.1 gave suggestive evidence of gene-environment interaction with environmental tobacco smoke (ETS) among 259 Asian trios when the models included a term for GxE interaction. Multiple SNPs in these two genes were associated with increased risk of nonsyndromic CP if the mother was exposed to ETS during the peri-conceptual period (3 months prior to conception through the first trimester). When maternal ETS was considered, fifteen of 135 SNPs mapping to SLC2A9 and 9 of 59 SNPs in WDR1 gave P values approaching genome-wide significance (10(-6)<P<10(-4)) in a test for GxETS interaction. SNPs rs3733585 and rs12508991 in SLC2A9 yielded P = 2.26×10(-7) in a test for GxETS interaction. SNPs rs6820756 and rs7699512 in WDR1 also yielded P = 1.79×10(-7) and P = 1.98×10(-7) in a 1 df test for GxE interaction. Although further replication studies are critical to confirming these findings, these results illustrate how genetic associations for nonsyndromic CP can be missed if potential GxE interaction is not taken into account, and this study suggest SLC2A9 and WDR1 should be considered as candidate genes for CP.
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Affiliation(s)
- Tao Wu
- Peking University Health Science Center, Beijing, China
- Johns Hopkins University, School of Public Health, Baltimore, Maryland, United States of America
- * E-mail:
| | - Holger Schwender
- Mathematical Institute, Heinrich Heine University Duesseldorf, Duesseldorf, Germany
| | - Ingo Ruczinski
- Johns Hopkins University, School of Public Health, Baltimore, Maryland, United States of America
| | - Jeffrey C. Murray
- University of Iowa, Children’s Hospital, Iowa City, Iowa, United States of America
| | - Mary L. Marazita
- Center for Craniofacial and Dental Genetics, School of Dental Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania, United States of America
| | | | - Jacqueline B. Hetmanski
- Johns Hopkins University, School of Public Health, Baltimore, Maryland, United States of America
| | - Margaret M. Parker
- Johns Hopkins University, School of Public Health, Baltimore, Maryland, United States of America
| | - Ping Wang
- Peking University Health Science Center, Beijing, China
| | - Tanda Murray
- Johns Hopkins University, School of Public Health, Baltimore, Maryland, United States of America
| | - Margaret Taub
- Johns Hopkins University, School of Public Health, Baltimore, Maryland, United States of America
| | - Shuai Li
- Peking University Health Science Center, Beijing, China
| | - Richard J. Redett
- Johns Hopkins University, School of Medicine, Baltimore, Maryland, United States of America
| | - M. Daniele Fallin
- Johns Hopkins University, School of Public Health, Baltimore, Maryland, United States of America
| | - Kung Yee Liang
- Johns Hopkins University, School of Public Health, Baltimore, Maryland, United States of America
- National Yang-Ming University, Taipei, Taiwan
| | | | | | - Vincent Yeow
- KK Women’s & Children’s Hospital, Singapore, Singapore
| | - Xiaoqian Ye
- Wuhan University, School of Stomatology, Wuhan, China
- Mount Sinai Medical Center, New York, New York, United States of America
| | - Hong Wang
- Peking University Health Science Center, Beijing, China
| | | | - Ethylin W. Jabs
- Johns Hopkins University, School of Medicine, Baltimore, Maryland, United States of America
- Mount Sinai Medical Center, New York, New York, United States of America
| | - Bing Shi
- State Key Laboratory of Oral Disease, West China College of Stomatology, Sichuan University, Chengdu, China
| | - Allen J. Wilcox
- NIEHS/NIH, Epidemiology Branch, Durham, North Carolina, United States of America
| | - Sun Ha Jee
- Yonsei University, School of Public Health, Seoul, Korea
| | - Alan F. Scott
- Johns Hopkins University, School of Medicine, Baltimore, Maryland, United States of America
| | - Terri H. Beaty
- Johns Hopkins University, School of Public Health, Baltimore, Maryland, United States of America
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Charles BA, Shriner D, Rotimi CN. Accounting for linkage disequilibrium in association analysis of diverse populations. Genet Epidemiol 2014; 38:265-73. [PMID: 24464495 DOI: 10.1002/gepi.21788] [Citation(s) in RCA: 22] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/05/2013] [Revised: 11/14/2013] [Accepted: 12/03/2013] [Indexed: 12/25/2022]
Abstract
The National Human Genome Research Institute's catalog of published genome-wide association studies (GWAS) lists over 10,000 genetic variants collectively associated with over 800 human diseases or traits. Most of these GWAS have been conducted in European-ancestry populations. Findings gleaned from these studies have led to identification of disease-associated loci and biologic pathways involved in disease etiology. In multiple instances, these genomic findings have led to the development of novel medical therapies or evidence for prescribing a given drug as the appropriate treatment for a given individual beyond phenotypic appearances or socially defined constructs of race or ethnicity. Such findings have implications for populations throughout the globe and GWAS are increasingly being conducted in more diverse populations. A major challenge for investigators seeking to follow up genomic findings between diverse populations is discordant patterns of linkage disequilibrium (LD). We provide an overview of common measures of LD and opportunities for their use in novel methods designed to address challenges associated with following up GWAS conducted in European-ancestry populations in African-ancestry populations or, more generally, between populations with discordant LD patterns. We detail the strengths and weaknesses associated with different approaches. We also describe application of these strategies in follow-up studies of populations with concordant LD patterns (replication) or discordant LD patterns (transferability) as well as fine-mapping studies. We review application of these methods to a variety of traits and diseases.
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Affiliation(s)
- Bashira A Charles
- Center for Research on Genomics and Global Health, National Human Genome Research Institute, Bethesda, Maryland, United States of America
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Voruganti VS, Kent JW, Debnath S, Cole SA, Haack K, Göring HHH, Carless MA, Curran JE, Johnson MP, Almasy L, Dyer TD, Maccluer JW, Moses EK, Abboud HE, Mahaney MC, Blangero J, Comuzzie AG. Genome-wide association analysis confirms and extends the association of SLC2A9 with serum uric acid levels to Mexican Americans. Front Genet 2013; 4:279. [PMID: 24379826 PMCID: PMC3863993 DOI: 10.3389/fgene.2013.00279] [Citation(s) in RCA: 25] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/26/2013] [Accepted: 11/23/2013] [Indexed: 12/18/2022] Open
Abstract
Increased serum uric acid (SUA) is a risk factor for gout and renal and cardiovascular disease (CVD). The purpose of this study was to identify genetic factors that affect the variation in SUA in 632 Mexican Americans participants of the San Antonio Family Heart Study (SAFHS). A genome-wide association (GWA) analysis was performed using the Illumina Human Hap 550K single nucleotide polymorphism (SNP) microarray. We used a linear regression-based association test under an additive model of allelic effect, while accounting for non-independence among family members via a kinship variance component. All analyses were performed in the software package SOLAR. SNPs rs6832439, rs13131257, and rs737267 in solute carrier protein 2 family, member 9 (SLC2A9) were associated with SUA at genome-wide significance (p < 1.3 × 10−7). The minor alleles of these SNPs had frequencies of 36.2, 36.2, and 38.2%, respectively, and were associated with decreasing SUA levels. All of these SNPs were located in introns 3–7 of SLC2A9, the location of the previously reported associations in European populations. When analyzed for association with cardiovascular-renal disease risk factors, conditional on SLC2A9 SNPs strongly associated with SUA, significant associations were found for SLC2A9 SNPs with BMI, body weight, and waist circumference (p < 1.4 × 10−3) and suggestive associations with albumin-creatinine ratio and total antioxidant status (TAS). The SLC2A9 gene encodes an urate transporter that has considerable influence on variation in SUA. In addition to the primary association locus, suggestive evidence (p < 1.9 × 10−6) for joint linkage/association (JLA) was found at a previously-reported urate quantitative trait locus (Logarithm of odds score = 3.6) on 3p26.3. In summary, our GWAS extends and confirms the association of SLC2A9 with SUA for the first time in a Mexican American cohort and also shows for the first time its association with cardiovascular-renal disease risk factors.
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Affiliation(s)
- Venkata Saroja Voruganti
- Department of Genetics, Texas Biomedical Research Institute San Antonio, TX, USA ; Department of Nutrition, Nutrition Research Institute, University of North Carolina at Chapel Hill Kannapolis, NC, USA
| | - Jack W Kent
- Department of Genetics, Texas Biomedical Research Institute San Antonio, TX, USA
| | - Subrata Debnath
- Division of Nephrology, Department of Medicine, University of Texas Health Science Center at San Antonio San Antonio, TX, USA
| | - Shelley A Cole
- Department of Genetics, Texas Biomedical Research Institute San Antonio, TX, USA
| | - Karin Haack
- Department of Genetics, Texas Biomedical Research Institute San Antonio, TX, USA
| | - Harald H H Göring
- Department of Genetics, Texas Biomedical Research Institute San Antonio, TX, USA
| | - Melanie A Carless
- Department of Genetics, Texas Biomedical Research Institute San Antonio, TX, USA
| | - Joanne E Curran
- Department of Genetics, Texas Biomedical Research Institute San Antonio, TX, USA
| | - Matthew P Johnson
- Department of Genetics, Texas Biomedical Research Institute San Antonio, TX, USA
| | - Laura Almasy
- Department of Genetics, Texas Biomedical Research Institute San Antonio, TX, USA
| | - Thomas D Dyer
- Department of Genetics, Texas Biomedical Research Institute San Antonio, TX, USA
| | - Jean W Maccluer
- Department of Genetics, Texas Biomedical Research Institute San Antonio, TX, USA
| | - Eric K Moses
- Department of Genetics, Texas Biomedical Research Institute San Antonio, TX, USA ; Centre for Genetic Origins of Health and Disease, University of Western Australia Perth, WA, Australia
| | - Hanna E Abboud
- Division of Nephrology, Department of Medicine, University of Texas Health Science Center at San Antonio San Antonio, TX, USA
| | - Michael C Mahaney
- Department of Genetics, Texas Biomedical Research Institute San Antonio, TX, USA
| | - John Blangero
- Department of Genetics, Texas Biomedical Research Institute San Antonio, TX, USA
| | - Anthony G Comuzzie
- Department of Genetics, Texas Biomedical Research Institute San Antonio, TX, USA
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Lu X, Li X, Zhao Y, Zheng Z, Guan S, Chan P. Contemporary epidemiology of gout and hyperuricemia in community elderly in Beijing. Int J Rheum Dis 2013; 17:400-7. [PMID: 24118986 DOI: 10.1111/1756-185x.12156] [Citation(s) in RCA: 26] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Affiliation(s)
- Xiaolan Lu
- Department of Rheumatology; Beijing Institute of Geriatrics; Xuanwu Hospital of Capital Medical University; Beijing China
- Department of Geriatrics; Beijing Institute of Geriatrics; Xuanwu Hospital of Capital Medical University; Beijing China
| | - Xiaoxia Li
- Department of Rheumatology; Beijing Institute of Geriatrics; Xuanwu Hospital of Capital Medical University; Beijing China
| | - Yi Zhao
- Department of Rheumatology; Beijing Institute of Geriatrics; Xuanwu Hospital of Capital Medical University; Beijing China
| | - Zheng Zheng
- Department of Geriatrics; Beijing Institute of Geriatrics; Xuanwu Hospital of Capital Medical University; Beijing China
| | - Shaochen Guan
- Department of Geriatrics; Beijing Institute of Geriatrics; Xuanwu Hospital of Capital Medical University; Beijing China
| | - Piu Chan
- Department of Geriatrics; Beijing Institute of Geriatrics; Xuanwu Hospital of Capital Medical University; Beijing China
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Li WD, Jiao H, Wang K, Zhang C, Glessner JT, Grant SF, Zhao H, Hakonarson H, Price RA. A genome wide association study of plasma uric acid levels in obese cases and never-overweight controls. Obesity (Silver Spring) 2013; 21:E490-4. [PMID: 23703922 PMCID: PMC3762924 DOI: 10.1002/oby.20303] [Citation(s) in RCA: 21] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/07/2011] [Accepted: 11/24/2012] [Indexed: 01/17/2023]
Abstract
OBJECTIVE To identify plasma uric acid-related genes in extremely obese and normal weight individuals using genome-wide association studies (GWASs). DESIGN AND METHODS Using genotypes from a GWAS focusing on obesity and thinness, quantitative trait association analyses (PLINK) for plasma uric acid levels in 1,060 extremely obese individuals (BMI > 35 kg/m2) and normal-weight controls (BMI < 25 kg/m2) were performed. In 961 samples with uric acid data, 924 were females. RESULTS Significant associations were found in SLC2A9 gene SNPs and plasma uric acid levels (rs6449213, P = 3.15 × 10(-12) ). DIP2C gene SNP rs877282 also reached genome-wide significance (P = 4.56 × 10(-8)). Weaker associations (P < 1× 10(-5)) were found in F5, PXDNL, FRAS1, LCORL, and MICAL2 genes. Besides SLC2A9, three previously identified uric acid-related genes ABCG2 (rs2622605, P= 0.0026), SLC17A1 (rs3799344, P = 0.0017), and RREB1 (rs1615495, P = 0.00055) received marginal support in our study. CONCLUSIONS Two genes/chromosome regions reached genome-wide association significance (P < 1 × 10(-7) , 550 K SNPs) in our GWAS: SLC2A9, the chromosome 2 60.1 Mb region (rs6723995), and the DIP2C gene region. Five other genes (F5, PXDNL, FRAS1, LCORL, and MICAL2) yielded P < 1 × 10(-5) . Four previous reported associations were replicated in our study, including SLC2A9, ABCG2, RREB, and SLC17A1.
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Affiliation(s)
- Wei-Dong Li
- Center for Neurobiology and Behavior, Department of Psychiatry, University of Pennsylvania, Philadelphia, PA 19104, USA
- Research Center of Basic Medical Sciences, Tianjin Medical University, Tianjin, 300070, China
- Correspondence should be addressed to: Wei-Dong Li, Center for Neurobiology and Behavior, Department of Psychiatry, University of Pennsylvania, Philadelphia, PA 19104, USA and Research Center of Basic Medical Sciences, Tianjin Medical University, Tianjin, 300070, China, 86-22-8333-6586 (TEL), and R. Arlen Price, Center for Neurobiology and Behavior, Department of Psychiatry, University of Pennsylvania, Philadelphia, PA 19104, USA, 215-898-0214,
| | - Hongxiao Jiao
- Research Center of Basic Medical Sciences, Tianjin Medical University, Tianjin, 300070, China
| | - Kai Wang
- Center for Applied Genomics, Children’s Hospital of Philadelphia, Philadelphia, PA 19104, USA
| | - Clarence Zhang
- Department of Biostatistics, Yale University, New Haven, CT, USA
| | - Joseph T. Glessner
- Center for Applied Genomics, Children’s Hospital of Philadelphia, Philadelphia, PA 19104, USA
| | - Struan F.A. Grant
- Center for Applied Genomics, Children’s Hospital of Philadelphia, Philadelphia, PA 19104, USA
- Department of Pediatrics, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Hongyu Zhao
- Department of Biostatistics, Yale University, New Haven, CT, USA
| | - Hakon Hakonarson
- Center for Applied Genomics, Children’s Hospital of Philadelphia, Philadelphia, PA 19104, USA
- Department of Pediatrics, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - R. Arlen Price
- Center for Neurobiology and Behavior, Department of Psychiatry, University of Pennsylvania, Philadelphia, PA 19104, USA
- Correspondence should be addressed to: Wei-Dong Li, Center for Neurobiology and Behavior, Department of Psychiatry, University of Pennsylvania, Philadelphia, PA 19104, USA and Research Center of Basic Medical Sciences, Tianjin Medical University, Tianjin, 300070, China, 86-22-8333-6586 (TEL), and R. Arlen Price, Center for Neurobiology and Behavior, Department of Psychiatry, University of Pennsylvania, Philadelphia, PA 19104, USA, 215-898-0214,
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Li C, Yu Q, Han L, Wang C, Chu N, Liu S. The hURAT1 rs559946 polymorphism and the incidence of gout in Han Chinese men. Scand J Rheumatol 2013; 43:35-42. [PMID: 23981340 DOI: 10.3109/03009742.2013.808375] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/20/2023]
Abstract
OBJECTIVES Our previous study identified rs559946, a human urate transporter 1 (hURAT1) single nucleotide polymorphism (SNP), as being significantly associated with risk of primary hyperuricaemia (HUA) in a Han Chinese population. In the current study we aimed to identify the genetic effects of rs559946 on gout susceptibility in Han Chinese men. METHOD A total of 335 patients with gout and 376 healthy controls were recruited for a case-control association study. To examine the functional effect of rs559946, we performed luciferase reporter assays and an electrophoretic mobility shift assay (EMSA). RESULTS rs559946 was found to be significantly associated with gout susceptibility (p = 0.004), with T-allele carriers showing a decreased risk of gout [odds ratio (OR) 0.70, 95% confidence interval (CI) 0.55-0.89]. Multiple linear regression analysis identified a significant association between rs559946 genotypes and tophi. Luciferase reporter assays show increased transcriptional activity of the hURAT1 promoter with the C allele of rs559946. EMSA detected binding of nuclear proteins to both the T and C alleles, although increased binding was observed with the T allele. Cold competition assays suggest that rs559946 may bind within a glucocorticoid receptor (GR) binding motif. CONCLUSIONS Our study suggests that the rs559946 polymorphism is associated with increased HUA risk and may also contribute to gout development in Han Chinese men. The T to C substitution within rs559946 increased the transcriptional activity, and potentially increases gout susceptibility.
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Affiliation(s)
- C Li
- Shandong Provincial Key Laboratory of Metabolic Disease, The Affiliated Hospital of Qingdao University Medical College , Qingdao , China
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