Tag-SNP analysis of the GFI1-EVI5-RPL5-FAM69 risk locus for multiple sclerosis
Open accessAbstract
A recent genome-wide association study conducted by the International Multiple Sclerosis Genetic Consortium (IMSGC) identified, among others, a number of putative multiple sclerosis (MS) susceptibility variants at position 1p22. Twenty-one SNPs positively associated with MS were located at the GFI-EVI5-RPL5-FAM69A locus. In this study, we performed an analysis and fine mapping of this locus, genotyping eight Tag-SNPs in 732 MS patients and 974 controls from Spain. We observed an association with MS in three of eight Tag-SNPs: rs11804321 (P=0.008, OR=1.29; 95% CI=1.08-1.54), rs11808092 (P=0.048, OR=1.19; 95% CI=1.03-1.39) and rs6680578 (P=0.0082, OR=1.23; 95% CI=1.07-1.41). After correcting for multiple comparisons and using logistic regression analysis to test the addition of each SNP to the most associated SNPs, we observed that rs11804321 alone was sufficient to model the association. This Tag-SNP captures two SNPs in complete linkage disequilibrium (r(2)=1), both located within the 17th intron of the EVI5 gene. Our findings agree with the corresponding data of the recent IMSGC study and present new genetic evidence that points to EVI5 as a factor of susceptibility to MS.
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Cites
Controlling the False Discovery Rate: A Practical and Powerful Approach to Multiple Testing
Benjamini, Y., & Hochberg, Y. (1995) · Journal of the Royal Statistical Society Series B: Statistical Methodology · doi:10.1111/j.2517-6161.1995.tb02031.x · Cited by 109,482 · see citing works
New diagnostic criteria for multiple sclerosis: Guidelines for research protocols
Poser, C. M., Paty, D. W., Scheinberg, L., McDonald, W. I., Davis, F. A., Ebers, G. C., Johnson, K. P., Sibley, W. A., Silberberg, D. H., & Tourtellotte, W. W. (1983) · Annals of Neurology · doi:10.1002/ana.410130302 · Cited by 7,384 · see citing works
Risk Alleles for Multiple Sclerosis Identified by a Genomewide Study
(2007) · New England Journal of Medicine · doi:10.1056/nejmoa073493 · Cited by 1,746 · see citing works
Compston, A., & Coles, A. (2002) · The Lancet · doi:10.1016/s0140-6736(02)08220-x · Cited by 1,743 · see citing works
A Note on Exact Tests of Hardy-Weinberg Equilibrium
Wigginton, J. E., Cutler, D. J., & Abecasis, G. R. (2005) · The American Journal of Human Genetics · doi:10.1086/429864 · Cited by 1,458 · see citing works
SNPassoc: an R package to perform whole genome association studies
González, J. R., Armengol, L., Solé, X., Guinó, E., Mercader, J. M., Estivill, X., & Moreno, V. R. (2007) · Bioinformatics · doi:10.1093/bioinformatics/btm025 · Cited by 795 · see citing works
for the Multiple Sclerosis Genetics Group, Gregory, S. G., Schmidt, S., Seth, P., Oksenberg, J. R., Hart, J., Prokop, A., Caillier, S. J., Ban, M., Goris, A., et al. (2007) · Nature Genetics · doi:10.1038/ng2103 · Cited by 657 · see citing works
The Australia and New Zealand Multiple Sclerosis Genetics Consortium (ANZgene) (2009) · Nature Genetics · doi:10.1038/ng.396 · Cited by 550 · see citing works
Variation in interleukin 7 receptor α chain (IL7R) influences risk of multiple sclerosis
Lundmark, F., Duvefelt, K., Iacobaeus, E., Kockum, I., Wallström, E., Khademi, M., Oturai, A., Ryder, L. P., Saarela, J., Harbo, H. F., et al. (2007) · Nature Genetics · doi:10.1038/ng2106 · Cited by 483 · see citing works
Kristjansdottir, G., Sandling, J. K., Bonetti, A., Roos, I. M., Milani, L. A., Wang, C., Gustafsdottir, S., Sigurðsson, S., Lundmark, A., Tienari, P. J., et al. (2008) · Journal of Medical Genetics · doi:10.1136/jmg.2007.055012 · Cited by 147 · see citing works
Self-citationRubio, J. P., Stankovich, J. M., Field, J., Tubridy, N. J., Marriott, M. P., Chapman, C., Bahlo, M., Perera, D., Johnson, L., Tait, B. D., et al. (2008) · Genes and Immunity · doi:10.1038/gene.2008.59 · Cited by 132 · see citing works
Maximizing association statistics over genetic models
González, J. R., Carrasco, J. L., Dudbridge, F., Armengol, L., Estivill, X., & Moreno, V. R. (2008) · Genetic Epidemiology · doi:10.1002/gepi.20299 · Cited by 122 · see citing works
Incidence of multiple sclerosis in the United Kingdom
Alonso, Á., Jick, S. S., Olek, M. J., & Hernán, M. Á. (2007) · Journal of Neurology · doi:10.1007/s00415-007-0602-z · Cited by 85 · see citing works
EVI5 is a risk gene for multiple sclerosis
Hoppenbrouwers, I. A., Aulchenko, Y. S., Ebers, G. C., Ramagopalan, S. V., Oostra, B. A., van Duijn, C. M., & Hintzen, R. Q. (2008) · Genes and Immunity · doi:10.1038/gene.2008.22 · Cited by 81 · see citing works
Cantó, E., & Oksenberg, J. R. (2018) · Multiple Sclerosis Journal · doi:10.1177/1352458517737371 · Cited by 79 · see citing works
False discovery and false nondiscovery rates in single-step multiple testing proceduresPreprint
Sarkar, S. K. (2006) · Cited by 72 · see citing works
Identification of Rab11 as a small GTPase binding protein for the Evi5 oncogene
Westlake, C. J., Junutula, J. R., Simon, G. C., Pilli, M., Prekeris, R., Scheller, R. H., Jackson, P. K., & Eldridge, A. G. (2007) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0610500104 · Cited by 68 · see citing works
Richardson, P. M., & Zon, L. I. (1995) · PubMed · Cited by 67 · see citing works
False discovery and false nondiscovery rates in single-step multiple testing procedures
Sarkar, S. K. (2006) · The Annals of Statistics · doi:10.1214/009053605000000778 · Cited by 55 · see citing works
IL2RA/CD25 polymorphisms contribute to multiple sclerosis susceptibility
Matesanz, F., Caro‐Maldonado, A., Fedetz, M., Fernández, Ó., Milne, R. L., Guerrero, M., Delgado, C., & Alcina, A. (2007) · Journal of Neurology · doi:10.1007/s00415-006-0416-4 · Cited by 50 · see citing works
Self-citationEVI5 is a novel centrosomal protein that binds to α- and γ-tubulin
Faitar, S. L., Dabbeekeh, J. T. S., Ranalli, T. A., & Cowell, J. K. (2005) · Genomics · doi:10.1016/j.ygeno.2005.06.002 · Cited by 27 · see citing works
Familial recurrence rates and genetic models of multiple sclerosis
Lindsey, J. W. (2005) · American Journal of Medical Genetics Part A · doi:10.1002/ajmg.a.30702 · Cited by 24 · see citing works
Fernández, Ó., Fernández, V., Martinez-Cabrera, V., Mayorga, C., Alonso, A., León, A., Arnal, C., Hens, M. J., Luque, G., de Ramón, E., et al. (2008) · Tissue Antigens · doi:10.1111/j.1399-0039.2008.01016.x · Cited by 20 · see citing works
Self-citation
Flagged first, then by citations
Research works printed but not linked: 1
- association. Tissue Antigens 2008; 71: 426-433.
Cited by
Sorted by citations
Multiple sclerosis genomic map implicates peripheral immune cells and microglia in susceptibility
International Multiple Sclerosis Genetics Consortium, Patsopoulos, N. A., Baranzini, S. E., Santaniello, A., Shoostari, P., Cotsapas, C., Wong, G., Beecham, A. H., James, T., Replogle, J., et al. (2019) · Science · doi:10.1126/science.aav7188 · Cited by 1,471 · see citing works
“One of the most complex regions was the one harboring the EVI5 gene that has been the subject of several reports with contradictory results.(10-13) In this locus, we identified four statistically independent genome-wide effects, three of which were found under the same association peak (Fig.”
BackgroundThe Genetics of Multiple Sclerosis: From 0 to 200 in 50 Years
Baranzini, S. E., & Oksenberg, J. R. (2017) · Trends in Genetics · doi:10.1016/j.tig.2017.09.004 · Cited by 238 · see citing works
11β-hydroxysteroid dehydrogenase 1: translational and therapeutic aspects
Gathercole, L. L., Lavery, G. G., Morgan, S. A., Cooper, M. S., Sinclair, A. J., Tomlinson, J. W., & Stewart, P. M. (2013) · Endocrine Reviews · doi:10.1210/er.2012-1050 · Cited by 196 · see citing works
Martin, D., Pantoja, C., Fernández‐Miñán, A., Valdes‐Quezada, C., Moltó, E., Matesanz, F., Bogdanović, O., de la Calle‐Mustienes, E., Domı́nguez, O., Taher, L., et al. (2011) · Nature Structural & Molecular Biology · doi:10.1038/nsmb.2059 · Cited by 91 · see citing works
Self-citationGfi1–cells and circuits: unraveling transcriptional networks of development and disease
Phelan, J. D., Shroyer, N. F., Cook, T. A., Gebelein, B. A., & Grimes, H. L. (2010) · Current Opinion in Hematology · doi:10.1097/moh.0b013e32833a06f8 · Cited by 60 · see citing works
A Novel Predicted Calcium-Regulated Kinase Family Implicated in Neurological DisordersPreprint
Dudkiewicz, M., Lenart, A., & Pawłowski, K. (2012) · Nature Precedings · doi:10.1371/journal.pone.0066427 · Cited by 50 · see citing works
The Evi5 family in cellular physiology and pathology
Lim, Y. S., & Tang, B. L. (2013) · FEBS Letters · doi:10.1016/j.febslet.2013.04.036 · Cited by 47 · see citing works
Genetics and functional genomics of multiple sclerosis
Kim, W., & Patsopoulos, N. A. (2022) · Seminars in Immunopathology · doi:10.1007/s00281-021-00907-3 · Cited by 34 · see citing works
Risk conferring genes in multiple sclerosis
Nischwitz, S., Müller‐Myhsok, B., & Weber, F. (2011) · FEBS Letters · doi:10.1016/j.febslet.2011.03.037 · Cited by 33 · see citing works
Multiple Sclerosis Genetics 2010
McElroy, J. P., & Oksenberg, J. R. (2011) · Neurologic Clinics · doi:10.1016/j.ncl.2010.12.002 · Cited by 30 · see citing works
SPOCK3, a risk gene for adult ADHD and personality disorders
Weber, H., Scholz, C. J., Jacob, C., Heupel, J., Kittel‐Schneider, S., Erhardt, A., Hempel, S., Schmidt, B., Kiel, T., Geßner, A., et al. (2013) · European Archives of Psychiatry and Clinical Neuroscience · doi:10.1007/s00406-013-0476-2 · Cited by 28 · see citing works
Schmied, M. C., Zehetmayer, S., Reindl, M., Ehling, R., Bajer-Kornek, B., Leutmezer, F., Zebenholzer, K., Hotzy, C., Lichtner, P., Meitinger, T., et al. (2012) · Neurogenetics · doi:10.1007/s10048-012-0316-y · Cited by 28 · see citing works
The role of non-HLA single nucleotide polymorphisms in multiple sclerosis susceptibility
Bahreini, S. A., Jabalameli, M. R., Saadatnia, M., & Zahednasab, H. (2010) · Journal of Neuroimmunology · doi:10.1016/j.jneuroim.2010.08.002 · Cited by 26 · see citing works
Didonna, A., Isobe, N., Caillier, S. J., Li, K. H., Burlingame, A. L., Hauser, S. L., Baranzini, S. E., Patsopoulos, N. A., & Oksenberg, J. R. (2015) · Human Molecular Genetics · doi:10.1093/hmg/ddv412 · Cited by 20 · see citing works
Li, Z., Guo, B., Yang, J., Herczeg, G., Gonda, A., Balázs, G., Shikano, T., Calboli, F. C. F., & Merilä, J. (2017) · Molecular Ecology · doi:10.1111/mec.14005 · Cited by 18 · see citing works
Susceptibility Genes for Multiple Sclerosis Identified in a Gene-Based Genome-Wide Association Study
Lin, X., Deng, F., Lu, X., & Lei, S. (2015) · Journal of Clinical Neurology · doi:10.3988/jcn.2015.11.4.311 · Cited by 17 · see citing works
Characterisation of the FAM69 family of cysteine-rich endoplasmic reticulum proteins
Tennant-Eyles, A. J., Moffitt, H., Whitehouse, C. A., & Roberts, R. G. (2011) · Biochemical and Biophysical Research Communications · doi:10.1016/j.bbrc.2011.02.076 · Cited by 16 · see citing works
Majdinasab, N., Behbahani, M. H., Galehdari, H., & Mohaghegh, M. (2014) · Europe PMC (PubMed Central) · Cited by 14 · see citing works
Soltani, S., Webb, S. M., Kröll, T., & King‐Jones, K. (2024) · Nature Communications · doi:10.1038/s41467-024-48165-9 · Cited by 12 · see citing works
Liu, J., Liu, X., Liu, Y., Deng, S., Huang, H., Chen, Q., Liu, W., & Huang, Z. (2016) · Meta Gene · doi:10.1016/j.mgene.2016.04.005 · Cited by 11 · see citing works
Regulation of secretory pathway kinase or kinase-like proteins in human cancers
Du, S., Zhu, C. Y., Ren, X., Chen, X., Cui, X., & Guan, S. (2023) · Frontiers in Immunology · doi:10.3389/fimmu.2023.942849 · Cited by 6 · see citing works
Recent progress in omics-driven analysis of MS to unravel pathological mechanisms
Malekzadeh, A., & Teunissen, C. E. (2013) · Expert Review of Neurotherapeutics · doi:10.1586/14737175.2013.835602 · Cited by 4 · see citing works
Glucocorticoid Metabolism and Activation
Othonos, N., & Tomlinson, J. (2017) · Elsevier eBooks · doi:10.1016/b978-0-12-801238-3.64302-7 · Cited by 3 · see citing works
Adaptive Fisher method detects dense and sparse signals in association analysis of SNV sets
Cai, X., Chang, L., Potter, J., & Song, C. W. (2020) · BMC Medical Genomics · doi:10.1186/s12920-020-0684-3 · Cited by 2 · see citing works
Glucocorticoid metabolism and activation
Othonos, N., & Tomlinson, J. (2025) · Elsevier eBooks · doi:10.1016/b978-0-443-13825-6.00210-7
Risk factors of multiple sclerosis: insights from the United Arab Emirates
Dalibalta, S., Alhabach, B., & Fakhouri, J. E. (2025) · International Journal of Environmental Health Research · doi:10.1080/09603123.2025.2563796
Cai, X., Chang, L.-B., Potter, J., & Song, C. (2020) · Figshare · doi:10.6084/m9.figshare.12072267
- Authors
- Alcina, A., Fernández, Ó., Gonzalez, J. R., Catalá-Rabasa, A., Fedetz, M., Ndagire, D., Leyva, L., Guerrero, M., Arnal, C., Delgado, C., Lucas, M., Izquierdo, G., & Matesanz, F.
- Affiliations
- Consejo Superior de Investigaciones Científicas (ES)
- Hospital Universitario Virgen de las Nieves (ES)
- Hospital Universitario Virgen Macarena (ES)
- Corresponding author
- Matesanz, Fuencisla
- Venue
- European Journal of Human Genetics
- Published
- 2010-01-20
- Volume
- 18
- Issue
- 7
- Pages
- 827-831
- ISSN
- 1018-4813 (ISSN-L)
- 1476-5438
- PMC
- PMC2987353
- OpenAlex
- W2122380662
- Cited by
- 27
- References
- 23
- Citations by year
- 2025: 2 · 2024: 1 · 2023: 1 · 2022: 1 · 2020: 2 · 2019: 1 · 2017: 3 · 2016: 1 · 2015: 2 · 2014: 1 · 2013: 4 · 2012: 2
- FWCI
- 2.60
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Licence
- www.springer.com/tdm (tdm)
- Locations
- European Journal of Human Genetics (publishedVersion)
- Europe PMC (PubMed Central) (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- HAL (submittedVersion, other-oa)
- DIGITAL.CSIC (Spanish National Research Council (CSIC)) (submittedVersion)
- Trinity's Access to Research Output (TARA) (Trinity College Dublin) (submittedVersion)
- Topics
- Health Sciences › Medicine › Pathology and Forensic Medicine › Multiple Sclerosis Research Studies
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genetic Associations and Epidemiology
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genetic Mapping and Diversity in Plants and Animals
- Keywords
- multiple sclerosis, EVI5, tag SNPs, fine mapping, genetic susceptibility, linkage disequilibrium, Spanish population
- MeSH terms
- Adult, DNA-Binding Proteins, Female, Humans, Male, Multiple Sclerosis, Nuclear Proteins, Regression Analysis, Ribosomal Proteins, Risk Factors, Transcription Factors, Linkage Disequilibrium, Case-Control Studies, Cell Cycle Proteins, Genetic Predisposition to Disease, Polymorphism, Single Nucleotide, GTPase-Activating Proteins, Genome-Wide Association Study, Genetic Loci
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review