The DOI matches its Crossref record; 50 of the 50 references it cites were found in a registry or an index.
Fine-Mapping the Genetic Association of the Major Histocompatibility Complex in Multiple Sclerosis: HLA and Non-HLA Effects
Open accessAbstract
The major histocompatibility complex (MHC) region is strongly associated with multiple sclerosis (MS) susceptibility. HLA-DRB1*15:01 has the strongest effect, and several other alleles have been reported at different levels of validation. Using SNP data from genome-wide studies, we imputed and tested classical alleles and amino acid polymorphisms in 8 classical human leukocyte antigen (HLA) genes in 5,091 cases and 9,595 controls. We identified 11 statistically independent effects overall: 6 HLA-DRB1 and one DPB1 alleles in class II, one HLA-A and two B alleles in class I, and one signal in a region spanning from MICB to LST1. This genomic segment does not contain any HLA class I or II genes and provides robust evidence for the involvement of a non-HLA risk allele within the MHC. Interestingly, this region contains the TNF gene, the cognate ligand of the well-validated TNFRSF1A MS susceptibility gene. The classical HLA effects can be explained to some extent by polymorphic amino acid positions in the peptide-binding grooves. This study dissects the independent effects in the MHC, a critical region for MS susceptibility that harbors multiple risk alleles.
Overview
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
Verification
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.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
The source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
In the citing paper
“However, the nature of the interaction may be more complicated than expected, with multiple different amino acid‐level alleles demonstrating consistent interaction with HLA‐DRB1*15:01, in addition to the HLA‐DQA1*01:01 allele.”
From Genome‐wide association studies of multiple sclerosis (2018) · cites this paper as [51]
Experimental — accuracy not yet measuredIn the citing paper
“the DR15 haplotype and its component alleles also associate with protection against diabetes108, a high risk for multiple sclerosis109,110, and risk or protective effects with many other immune-mediated diseases”
From Genetic meta-analysis of diagnosed Alzheimer’s disease identifies new risk loci and implicates Aβ, tau, immunity and lipid processing (2019) · cites this paper as [109]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Regression shrinkage and selection via the lasso
Tibshirani, R. (1996) · Journal of the Royal Statistical Society Series B: Statistical Methodology · doi:10.1111/j.2517-6161.1996.tb02080.x · Cited by 51,482
UCSF Chimera—A visualization system for exploratory research and analysis
Pettersen, E. F., Goddard, T. D., Huang, C. C., Couch, G. S., Greenblatt, D. M., Meng, E. C., & Ferrin, T. E. (2004) · Journal of Computational Chemistry · doi:10.1002/jcc.20084 · Cited by 45,882
PLINK: a tool set for whole-genome association and population-based linkage analyses.
Purcell, S., Neale, B., Todd-Brown, K., Thomas, L., Ferreira, M. A. R., Bender, D., Maller, J., Sklar, P., de Bakker, P. I. W., Daly, M. J., et al. (2007) · The American Journal of Human Genetics · doi:10.1086/519795 · Cited by 34,089
Regularization and Variable Selection Via the Elastic Net
Zou, H., & Hastie, T. (2005) · Journal of the Royal Statistical Society Series B: Statistical Methodology · doi:10.1111/j.1467-9868.2005.00503.x · Cited by 20,957
An integrated encyclopedia of DNA elements in the human genome
The ENCODE Project Consortium (2012) · Nature · doi:10.1038/nature11247 · Cited by 18,072
Efron, B., Hastie, T., Johnstone, I., & Tibshirani, R. (2004) · The Annals of Statistics · doi:10.1214/009053604000000067 · Cited by 9,357
A note on a general definition of the coefficient of determination
NAGELKERKE, N. J. D. (1991) · Biometrika · doi:10.1093/biomet/78.3.691 · Cited by 5,927
Regression Shrinkage and Selection via The Lasso: A Retrospective
Tibshirani, R. J. (2011) · Journal of the Royal Statistical Society Series B (Statistical Methodology) · doi:10.1111/j.1467-9868.2011.00771.x · Cited by 3,601
Genetic risk and a primary role for cell-mediated immune mechanisms in multiple sclerosis
The International Multiple Sclerosis Genetics Consortium & The Wellcome Trust Case Control Consortium 2 (2011) · Nature · doi:10.1038/nature10251 · Cited by 2,697
ChromHMM: automating chromatin-state discovery and characterization
Ernst, J., & Kellis, M. (2012) · Nature Methods · doi:10.1038/nmeth.1906 · Cited by 2,457
Flagged first, then by citations
Cited by
Sorted by citations
Items 101–200 of 311
Immune system regulation and role of the human leukocyte antigen in posttraumatic stress disorder
Katrinli, Ş., & Smith, A. K. (2021) · Neurobiology of Stress · doi:10.1016/j.ynstr.2021.100366 · Cited by 27
Giacalone, G., Clarelli, F., Osiceanu, A. M., Guaschino, C., Brambilla, P., Sorosina, M., Liberatore, G., Zauli, A., Esposito, F., Rodegher, M., et al. (2015) · Multiple Sclerosis Journal · doi:10.1177/1352458514564590 · Cited by 27
Hecker, M., Boxberger, N., Illner, N., Fitzner, B., Schröder, I., Winkelmann, A., Dudešek, A., Meister, S., Koczan, D., Lorenz, P., et al. (2019) · PLoS Genetics · doi:10.1371/journal.pgen.1007961 · Cited by 26
Macrophages and HLA-Class II Alleles in Multiple Sclerosis: Insights in Therapeutic Dynamics
Prapas, P., & Anagnostouli, M. C. (2024) · International Journal of Molecular Sciences · doi:10.3390/ijms25137354 · Cited by 26
Creary, L. E., Mallempati, K. C., Gangavarapu, S., Caillier, S. J., Oksenberg, J. R., & Fernández-Viña, M. (2018) · Multiple Sclerosis Journal · doi:10.1177/1352458518770019 · Cited by 24
Self-citationHedström, A. K., Hillert, J. A., Brenner, N., Butt, J., Waterboer, T., Stridh, P., Kockum, I. S., Olsson, T. P., & Alfredsson, L. S. (2021) · Journal of Neurology Neurosurgery & Psychiatry · doi:10.1136/jnnp-2020-325676 · Cited by 29
Self-citationHaplotype-based approach to known MS-associated regions increases the amount of explained risk
Khankhanian, P., Gourraud, P., Lizée, A., & Goodin, D. S. (2015) · Journal of Medical Genetics · doi:10.1136/jmedgenet-2015-103071 · Cited by 22
Self-citationBove, R. M., Chitnis, T., Cree, B., Tintoré, M., Naegelin, Y., Uitdehaag, B. M. J., Kappos, L., Khoury, S. J., Montalbán, X., Hauser, S. L., et al. (2017) · Multiple Sclerosis Journal · doi:10.1177/1352458517726657 · Cited by 23
Tschochner, M., Leary, S., Cooper, D., Strautins, K., Chopra, A., Clark, H., Choo, L., Dunn, D., JAMES, I. R., Carroll, W. M., et al. (2016) · PLoS ONE · doi:10.1371/journal.pone.0147567 · Cited by 22
Involvement of Genetic Factors in Multiple Sclerosis
Ferrè, L., Filippi, M., & Esposito, F. (2020) · Frontiers in Cellular Neuroscience · doi:10.3389/fncel.2020.612953 · Cited by 24
Xavier, A., Maltby, V. E., Ewing, E., Campagna, M. P., Burnard, S. M., Tegner, J. N., Slee, M., Butzkueven, H., Kockum, I. S., Kular, L., et al. (2023) · International Journal of Molecular Sciences · doi:10.3390/ijms241612576 · Cited by 25
Self-citationMcCombe, P. (2018) · Journal of Clinical Medicine · doi:10.3390/jcm7120494 · Cited by 21
Fazia, T., Nova, A., Gentilini, D., Beecham, A. H., Piras, M., Saddi, V., Ticca, A., Bitti, P., McCauley, J. L., Berzuini, C., et al. (2020) · Frontiers in Bioengineering and Biotechnology · doi:10.3389/fbioe.2020.00397 · Cited by 22
EBNA-1 titer gradient in families with multiple sclerosis indicates a genetic contribution
Mescheriakova, J. Y., van Nierop, G. P., van der Eijk, A. A., Kreft, K. L., & Hintzen, R. Q. (2020) · Neurology Neuroimmunology & Neuroinflammation · doi:10.1212/nxi.0000000000000872 · Cited by 22
Self-citationGenomic imprinting: A missing piece of the Multiple Sclerosis puzzle?
Ruhrmann, S., Stridh, P., Kular, L., & Jagodic, M. (2015) · The International Journal of Biochemistry & Cell Biology · doi:10.1016/j.biocel.2015.05.010 · Cited by 22
Lake, C. M., & Breen, J. J. (2023) · Scientific Reports · doi:10.1038/s41598-022-27348-8 · Cited by 21
Singhal, P., Veturi, Y., DUDEK, S. M., Lucas, A., Frase, A., Steen, K. V., Schrodi, S. J., Fasel, D. A., Weng, C., Pendergrass, R. K., et al. (2023) · The American Journal of Human Genetics · doi:10.1016/j.ajhg.2023.03.007 · Cited by 20
Stasiłowicz-Krzemień, A., Nogalska, W., Maszewska, Z., Maleszka, M., Dobroń, M., Szary, A., Kępa, A., Żarowski, M., Hojan, K., Łukowicz, M., et al. (2024) · International Journal of Molecular Sciences · doi:10.3390/ijms25115749 · Cited by 28
Kaushansky, N., & ben-Nun, A. (2014) · Frontiers in Oncology · doi:10.3389/fonc.2014.00280 · Cited by 24
Feasibility study for remote assessment of cognitive function in multiple sclerosis
Barcellos, L. F. (2016) · Journal of Neurology and Neuromedicine · doi:10.29245/2572.942x/2016/8.1084 · Cited by 21
Self-citationMescheriakova, J. Y., Verkerk, A. J. M. H., Amin, N., Uitterlinden, A. G., van Duijn, C. M., & Hintzen, R. Q. (2018) · Multiple Sclerosis Journal · doi:10.1177/1352458518777202 · Cited by 21
Self-citationPolygenic Multiple Sclerosis Risk and Population‐Based Childhood Brain Imaging
de Mol, C. L., Jansen, P. R., Muetzel, R. L., Knol, M. J., Adams, H. H. H., Jaddoe, V. W. V., Vernooij, M. W., Hintzen, R. Q., White, T. J. H., & Neuteboom, R. F. (2020) · Annals of Neurology · doi:10.1002/ana.25717 · Cited by 21
Self-citationThe influence of HLA genetic variation on plasma protein expression
Krishna, C., Chiou, J., Sakaue, S., Kang, J. B., Christensen, S. M., Lee, I., Aksit, M. A., Kim, H. I., von Schack, D., Raychaudhuri, S., et al. (2024) · Nature Communications · doi:10.1038/s41467-024-50583-8 · Cited by 22
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
Self-citationMack, S. J., Udell, J. B. M., Cohen, F., Osoegawa, K., Hawbecker, S. K., Noonan, D. A., Ladner, M. B., Goodridge, D., Trachtenberg, E., Oksenberg, J. R., et al. (2018) · Genes and Immunity · doi:10.1038/s41435-017-0006-8 · Cited by 20
Self-citationBeecham, A. H., Amezcua, L., Chinea, A. R., Manrique, C. P., Gomez, L., Martínez, A., Beecham, G. W., Patsopoulos, N. A., Chitnis, T., Weiner, H. L., et al. (2022) · PLoS ONE · doi:10.1371/journal.pone.0279132 · Cited by 19
Self-citationAutomated machine learning for genome wide association studies
Lakiotaki, K., Papadovasilakis, Z., Lagani, V., Fafalios, S., Charonyktakis, P., Tsagris, M., & Tsamardinos, I. (2023) · Bioinformatics · doi:10.1093/bioinformatics/btad545 · Cited by 19
New insights into the genetic component of non-infectious uveitis through an Immunochip strategy
Márquez, A., Cordero‐Coma, M., Martín‐Villa, J. M., Gorroño-Echebarría, M. B., Blanco, R., Díaz‐Valle, D., del Rio, M. J., Blanco, A., Olea, J. L., Cordero, Y., et al. (2016) · Journal of Medical Genetics · doi:10.1136/jmedgenet-2016-104144 · Cited by 17
Multiple Sclerosis: Basic and Clinical
Buzzard, K. A., Chan, W. H., Kilpatrick, T. J., & Murray, S. S. (2017) · Advances in neurobiology · doi:10.1007/978-3-319-57193-5_8 · Cited by 26
Katsavos, S., Artemiadis, A., Davaki, P., Stamboulis, E., Kilindireas, K., & Anagnostouli, M. C. (2018) · Clinical Neurology and Neurosurgery · doi:10.1016/j.clineuro.2018.08.021 · Cited by 19
Maghbooli, Z., Sahraian, M. A., & Moghadasi, A. N. (2020) · Multiple Sclerosis Journal - Experimental Translational and Clinical · doi:10.1177/2055217319881775 · Cited by 18
Andlauer, T. F. M., Link, J., Martin, D., Ryner, M. L., Hermanrud, C. E., Grummel, V., Auer, M., Hegen, H., Aly, L., Gasperi, C., et al. (2020) · BMC Medicine · doi:10.1186/s12916-020-01769-6 · Cited by 18
Self-citationHorton, M. K., Robinson, S. C., Shao, X., Quach, H., Quach, D. L., Choudhary, V., Bellesis, K. H., Dorin, P., Mei, J., Chinn, T., et al. (2023) · Neurology · doi:10.1212/wnl.0000000000206791 · Cited by 17
Self-citationAlemtuzumab for the treatment of multiple sclerosis
Willis, M., & Robertson, N. (2015) · Therapeutics and Clinical Risk Management · doi:10.2147/tcrm.s80112 · Cited by 17
The Role of HLA in MS Susceptibility and Phenotype
Greer, J. M. (2014) · Current topics in behavioral neurosciences · doi:10.1007/7854_2014_357 · Cited by 17
EPIGENETIC MECHANISMS IN MULTIPLE SCLEROSIS.
Gacias, M., & Casaccia, P. (2014) · PubMed · Cited by 17
The Role of Autoimmunity-Related Gene CLEC16A in the B Cell Receptor–Mediated HLA Class II Pathway
Rijvers, L., Melief, M., van Langelaar, J., de Vries, R. M. V. D. V., Wierenga‐Wolf, A. F., Koetzier, S. C., Priatel, J. J., Jorritsma, T., van Ham, S. M., Hintzen, R. Q., et al. (2020) · The Journal of Immunology · doi:10.4049/jimmunol.1901409 · Cited by 17
Self-citationImmunodietica: interrogating the role of diet in autoimmune disease
Gershteyn, I. M., Burov, A. A., Miao, B. Y., Morais, V. H., & Ferreira, L. M. R. (2020) · International Immunology · doi:10.1093/intimm/dxaa054 · Cited by 16
HLA high-resolution typing by next-generation sequencing in Pandemrix-induced narcolepsy
Lind, A., Akel, O., Wallenius, M., Ramelius, A., Maziarz, M., Zhao, L. P., Geraghty, D. E., Palm, L., Lernmark, Å., & Larsson, H. E. (2019) · PLoS ONE · doi:10.1371/journal.pone.0222882 · Cited by 15
Genetic susceptibility to multiple sclerosis in African Americans
Goodin, D. S., Oksenberg, J. R., Douillard, V., Gourraud, P., & Vince, N. (2021) · PLoS ONE · doi:10.1371/journal.pone.0254945 · Cited by 15
Self-citationInvestigation of TSPO Variants in Schizophrenia and Antipsychotic Treatment Outcomes
Pouget, J. G., Gonçalves, V. F., Nurmi, E. L., Laughlin, C., Mallya, K. S., McCracken, J. T., Aman, M. G., McDougle, C. J., Scahill, L. D., Misener, V. L., et al. (2015) · Pharmacogenomics · doi:10.2217/pgs.14.158 · Cited by 16
Ziaei, A., Lavery, A. M., Shao, X., Adams, C., Casper, T. C., ROSE, J. W., Candee, M. S., Weinstock‐Guttman, B., Aaen, G. S., Harris, Y., et al. (2022) · Multiple Sclerosis Journal · doi:10.1177/13524585211069926 · Cited by 14
Self-citationBogers, L., Kuiper, K. L., Smolders, J., Rip, J., & van Luijn, M. M. (2023) · Immunology Letters · doi:10.1016/j.imlet.2023.07.006 · Cited by 14
Skarlis, C., Angelopoulou, E., Rentzos, M., Papageorgiou, S. G., & Anagnostouli, M. C. (2025) · International Journal of Molecular Sciences · doi:10.3390/ijms26199398 · Cited by 15
Local Joint Testing Improves Power and Identifies Hidden Heritability in Association Studies
Brown, B. C., Price, A. L., Patsopoulos, N. A., & Zaitlen, N. (2016) · Genetics · doi:10.1534/genetics.116.188292 · Cited by 12
Self-citationNakatsuka, N. J., Patterson, N. J., Patsopoulos, N. A., Altemose, N., Tandon, A., Beecham, A. H., McCauley, J. L., Isobe, N., Hauser, S. L., Jager, P. L. D., et al. (2020) · Scientific Reports · doi:10.1038/s41598-020-74035-7 · Cited by 13
Self-citationOsoegawa, K., Creary, L. E., Montero-Martín, G., Mallempati, K. C., Gangavarapu, S., Caillier, S. J., Santaniello, A., Isobe, N., Hollenbach, J. A., Hauser, S. L., et al. (2021) · Frontiers in Immunology · doi:10.3389/fimmu.2021.644838 · Cited by 13
Self-citationHLA class II peptide-binding-region analysis reveals funneling of polymorphism in action
Sarri, C. A., Giannoulis, T., Moutou, K. A., & Mamuris, Z. (2021) · Immunology Letters · doi:10.1016/j.imlet.2021.07.005 · Cited by 13
Ikram, M. A., Vernooij, M. W., Roshchupkin, G. V., Albert Hofman, D., van Duijn, C. M., Uitterlinden, A. G., Niessen, W. J., Hintzen, R. Q., & Adams, H. H. H. (2016) · Multiple Sclerosis Journal · doi:10.1177/1352458516682104 · Cited by 13
Self-citationGoodin, D. S., Khankhanian, P., Gourraud, P., & Vince, N. (2021) · BMC Medical Genomics · doi:10.1186/s12920-021-01018-6 · Cited by 14
Self-citationZéphir, H., Puyade, M., Guéguen, A., Michel, L., Terriou, L., Dive, D., Laureys, G., Mathey, G., Labauge, P. M., Marjanovic, Z., et al. (2018) · Bulletin du Cancer · doi:10.1016/j.bulcan.2018.11.002 · Cited by 12
Contribution of common risk variants to multiple sclerosis in Orkney and Shetland
Barnes, C. L. K., Hayward, C., Porteous, D. J., Campbell, H. J., Joshi, P. K., & Wilson, J. F. (2021) · European Journal of Human Genetics · doi:10.1038/s41431-021-00914-w · Cited by 12
Genetic contribution to multiple sclerosis risk among Ashkenazi Jews
Khankhanian, P., Matsushita, T., Madireddy, L., Lizée, A., Din, L., Moré, J. M., Gourraud, P., Hauser, S. L., Baranzini, S. E., & Oksenberg, J. R. (2015) · BMC Medical Genetics · doi:10.1186/s12881-015-0201-2 · Cited by 12
Self-citationHLA-DRB1 allele impact on pediatric multiple sclerosis in a Hellenic cohort
Gontika, M. P., Skarlis, C., Artemiadis, A., Pons, R. M., Mastroyianni, S. D., Vartzelis, G., Theodorou, V., Kilindireas, K., Stefanis, L., Dalakas, M. C., et al. (2020) · Multiple Sclerosis Journal - Experimental Translational and Clinical · doi:10.1177/2055217320908046 · Cited by 12
Mallone, F., Lucchino, L., Franzone, F., Marenco, M., Carlesimo, S. C., & Moramarco, A. (2020) · Drug Discoveries & Therapeutics · doi:10.5582/ddt.2020.03031 · Cited by 12
Therapeutic interference with leukocyte recirculation in multiple sclerosis
Sellebjerg, F. T., & Sørensen, P. S. (2015) · European Journal of Neurology · doi:10.1111/ene.12668 · Cited by 11
Hecker, M., Fitzner, B., Putscher, E., Schwartz, M., Winkelmann, A., Meister, S., Dudešek, A., Koczan, D., Lorenz, P., Boxberger, N., et al. (2022) · EBioMedicine · doi:10.1016/j.ebiom.2022.104052 · Cited by 12
Immune Responses to Non-Tumor Antigens in the Central Nervous System
Huber, A. K., Duncker, P. C., & Irani, D. N. (2014) · Frontiers in Oncology · doi:10.3389/fonc.2014.00328 · Cited by 11
Kassam, I., Tan, S., Gan, F. F., Saw, W., Tan, L. W.-L., Moong, D. K. N., Soong, R. C. T., Teo, Y., & Loh, M. C. S. (2021) · Human Molecular Genetics · doi:10.1093/hmg/ddab038 · Cited by 11
Anagnostouli, M. C., Artemiadis, A., Gontika, M. P., Skarlis, C., Markoglou, N., Katsavos, S., Kilindireas, K., Doxiadis, I. I. N., & Stefanis, L. (2020) · Brain Sciences · doi:10.3390/brainsci10060374 · Cited by 11
Genetic Association in the HLA Region
Moutsianas, L., & Gutierrez‐Achury, J. (2018) · Methods in molecular biology · doi:10.1007/978-1-4939-7868-7_8 · Cited by 11
A Role for the Non-Receptor Tyrosine Kinase Abl2/Arg in Experimental Neuroinflammation
Jacobsen, F. A., Scherer, A. N., Mouritsen, J., Bragadóttir, H., Bäckström, B. T., Sardar, S., Holmberg, D., Koleske, A. J., & Andersson, Å. (2018) · Journal of Neuroimmune Pharmacology · doi:10.1007/s11481-018-9783-8 · Cited by 11
Katsavos, S., Artemiadis, A., Gontika, M. P., Skarlis, C., Markoglou, N., Davaki, P., Stamboulis, E., Kilindireas, K., Stefanis, L., & Anagnostouli, M. C. (2019) · Postgraduate Medicine · doi:10.1080/00325481.2019.1655382 · Cited by 10
Watanabe, M., Nakamura, Y., Isobe, N., Tanaka, M., Sakoda, A., Hayashi, F., Kawano, Y., Yamasaki, R., Matsushita, T., & Kira, J. (2020) · Journal of Neuroinflammation · doi:10.1186/s12974-020-01865-7 · Cited by 10
Huang, M., Zhu, M., Jiang, T., Wang, Y., Wang, C., Jin, G., Guo, X., Sha, J., Dai, J., Wang, X., et al. (2018) · Fertility and Sterility · doi:10.1016/j.fertnstert.2018.08.052 · Cited by 10
Faber, H., Kurtoic, D., Krishnamoorthy, G., Weber, P. C., Pütz, B., Müller‐Myhsok, B., Weber, F., & Andlauer, T. F. M. (2020) · Frontiers in Immunology · doi:10.3389/fimmu.2020.02165 · Cited by 12
Rare and low-frequency coding genetic variants contribute to pediatric-onset multiple sclerosis
Horton, M. K., Shim, J. E., Wallace, A. D., Graves, J. S., Aaen, G. S., Greenberg, B. M., Mar, S., Wheeler, Y., Weinstock‐Guttman, B., Waldman, A. T., et al. (2023) · Multiple Sclerosis Journal · doi:10.1177/13524585221150736 · Cited by 10
Self-citationBriggs, F. B. S., Leung, L., & Barcellos, L. F. (2014) · Genes and Immunity · doi:10.1038/gene.2014.37 · Cited by 9
Self-citationImani, S. Z. H., Hojati, Z., Khalilian, S., Dehghanian, F., Kheirollahi, M., Khorrami, M., Shaygannejad, V., & Mirmosayyeb, O. (2021) · Scientific Reports · doi:10.1038/s41598-021-98691-5 · Cited by 9
Jan, A., Saeed, M., Afridi, M. H., Khuda, F., Shabbir, M., Khan, H., Ali, S., Hassan, M., Ullah, S., Akbar, R., et al. (2021) · Journal of Diabetes Research · doi:10.1155/2021/6669731 · Cited by 10
Niu, P., Zhang, R., Zhang, C., Li, S., & Li, Y. (2024) · CNS Neuroscience & Therapeutics · doi:10.1111/cns.14817 · Cited by 10
Rubella virus seropositivity after infection or vaccination as a risk factor for multiple sclerosis
Ingvarsson, J., Grut, V., Biström, M., Berg, L. P., Stridh, P., Huang, J., Hillert, J. A., Alfredsson, L. S., Kockum, I. S., Olsson, T. P., et al. (2024) · European Journal of Neurology · doi:10.1111/ene.16387 · Cited by 7
Self-citationBurden of genetic risk variants in multiple sclerosis families in the Netherlands
Mescheriakova, J. Y., Broer, L., Wahedi, S., Uitterlinden, A. G., van Duijn, C. M., & Hintzen, R. Q. (2016) · Multiple Sclerosis Journal - Experimental Translational and Clinical · doi:10.1177/2055217316648721 · Cited by 9
Self-citationWerneck, L. C., Lorenzoni, P. J., Arndt, R. C., Kay, C. S. K., & Scola, R. H. (2016) · Arquivos de Neuro-Psiquiatria · doi:10.1590/0004-282x20160100 · Cited by 8
Computational modeling of brain pathologies: the case of multiple sclerosis
Pappalardo, F., Rajput, A.-M., & Motta, S. (2016) · Briefings in Bioinformatics · doi:10.1093/bib/bbw123 · Cited by 9
Al-Nashmi, M. E., Taha, S., Salem, A. H., Alsharoqi, I. A., & Bakhiet, M. (2018) · Biomedical Reports · doi:10.3892/br.2018.1164 · Cited by 8
Tammi, S., Koskela, S., Biobank, B. S., Hyvärinen, K., Partanen, J., & Ritari, J. (2024) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1011718 · Cited by 8
Shared genetic architecture and causal relationship between sleep behaviors and lifespan
Wu, Y., Zhang, C., Liu, X., Wang, L., Li, M., Li, Y., & Xiao, X. (2024) · Translational Psychiatry · doi:10.1038/s41398-024-02826-x · Cited by 7
HLA Associations of Intrathecal IgG Production against Specific Viruses in Multiple Sclerosis
Neidhart, S., Vlad, B., Hilty, M., Högelin, K. A., Ziegler, M., Berenjeno‐Correa, E., Reichen, I., Stridh, P., Jelčić, I., Khademi, M., et al. (2024) · Annals of Neurology · doi:10.1002/ana.26921 · Cited by 7
Oraby, M. I., Hussein, M., Elkareem, R. M. A., & Elfar, E. (2019) · The Egyptian Journal of Neurology Psychiatry and Neurosurgery · doi:10.1186/s41983-019-0107-6 · Cited by 7
Kaushansky, N., Eisenstein, M., Boura‐Halfon, S., Hansen, B. E., Nielsen, C. H., Milo, R., Zeilig, G., Lassmann, H., Altmann, D. M., & Ben‐Nun, A. (2015) · Journal of Biological Chemistry · doi:10.1074/jbc.m115.641209 · Cited by 7
Gustavsen, M. W., Viken, M. K., Celius, E. G., Berge, T., Mero, I., Berg‐Hansen, P., Aarseth, J. H., Myhr, K., Søndergaard, H. B., Sellebjerg, F. T., et al. (2014) · Journal of Neuroimmunology · doi:10.1016/j.jneuroim.2014.06.024 · Cited by 7
Self-citationNew Insights Into the Genetics of Autoimmune Myasthenia Gravis
Lisak, R. P., & Barcellos, L. F. (2015) · JAMA Neurology · doi:10.1001/jamaneurol.2014.4493 · Cited by 9
Self-citationEffects of C2ta genetic polymorphisms on MHC class II expression and autoimmune diseases
Yau, A. C. Y., Piehl, F., Olsson, T., & Holmdahl, R. (2017) · Immunology · doi:10.1111/imm.12692 · Cited by 8
Self-citationSaksager, A. B., Hede, F. D., & Barra, C. (2025) · Journal of Autoimmunity · doi:10.1016/j.jaut.2025.103443 · Cited by 6
Translational utility of experimental autoimmune encephalomyelitis: recent developments
Jagodic, M., Guerreiro‐Cacais, A. O., Lindahl, H., Flytzani, S., N’diaye, M., & Olsson, T. P. (2015) · Journal of Inflammation Research · doi:10.2147/jir.s76707 · Cited by 6
Self-citationHLA Allele Frequencies in Pediatric and Adolescent Multiple Sclerosis Patients
Anagnostouli, M. C., & Gontika, M. P. (2019) · IntechOpen eBooks · doi:10.5772/intechopen.81645 · Cited by 6
Hauser, S. L., Oksenberg, J. R., & Baranzini, S. E. (2014) · Elsevier eBooks · doi:10.1016/b978-0-12-410529-4.00085-1 · Cited by 7
Self-citationUnraveling susceptibility to multiple sclerosis
Briggs, F. B. S. (2019) · Science · doi:10.1126/science.aay1439 · Cited by 6
An accurate genetic colocalization method for the HLA locusPreprint
Butler‐Laporte, G., Lu, T., Morris, S., Zhang, W., Band, G., Hamilton, F., Chong, A. Y.-Y., Lin, K., Nanjala, R., Richards, J. B., et al. (2024) · medRxiv · doi:10.1101/2024.11.05.24316783 · Cited by 6
Haag, C., Steinemann, N., Ajdacic‐Gross, V., Schlomberg, J. T., Ineichen, B. V., Stanikić, M., Dressel, H., Daniore, P., Roth, P., Ammann, S., et al. (2024) · Communications Medicine · doi:10.1038/s43856-024-00546-3 · Cited by 5
Jacobs, B. M., Schalk, L., Tregaskis-Daniels, E., Scalfari, A., Nandoskar, A., Dunne, A., Gran, B., Mein, C. A., Sellers, C., Spilker, C., et al. (2026) · Neurology · doi:10.1212/wnl.0000000000214708 · Cited by 5
Self-citationCurrent understanding of cardiovascular autonomic dysfunction in multiple sclerosis
Zahoor, I., Pan, G., Cerghet, M., ElBayoumi, T. A., Mao‐Draayer, Y., Giri, S., & Palaniyandi, S. S. (2024) · Heliyon · doi:10.1016/j.heliyon.2024.e35753 · Cited by 6
Mahdi, B. M. (2019) · IntechOpen eBooks · doi:10.5772/intechopen.73938 · Cited by 5
Prajjwal, P., Marsool, M. D. M., Asharaf, S., Inban, P., Gadam, S., Yadav, R., Vora, N., Nandwana, V., Marsool, A. D. M., & Hussin, O. A. (2023) · Health Science Reports · doi:10.1002/hsr2.1422 · Cited by 6
Genetic and Environmental Susceptibility to Multiple Sclerosis
Goodin, D. S. (2021) · Medical Research Archives · doi:10.18103/mra.v9i6.2413 · Cited by 5
Cross-disorder analysis of schizophrenia and 19 immune diseases reveals genetic correlationPreprint
Pouget, J. G., Han, B., Wu, Y., Mignot, E. J.-M., Ollila, H. M., Barker, J., Spain, S., Dand, N., Trembath, R. C., Martin, J., et al. (2016) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/068684 · Cited by 5
Dastmalchi, N., & Hajiasgharzadeh, K. (2026) · Biochemical and Biophysical Research Communications · doi:10.1016/j.bbrc.2026.153906 · Cited by 4
No excess of autoimmune diseases in multiple sclerosis families from the Netherlands
Mescheriakova, J. Y., & Hintzen, R. Q. (2018) · Acta Neurologica Scandinavica · doi:10.1111/ane.12896 · Cited by 5
Self-citationDevi-Marulkar, P., Moraes-Cabé, C., Campagne, P., Corre, B., Meghraoui, A., Bondet, V., Llibre, A., Duffy, D., Maillart, É., Papeix, C., et al. (2021) · Frontiers in Immunology · doi:10.3389/fimmu.2021.628375 · Cited by 4
Metadata
- Authors
- Patsopoulos, N. A., Barcellos, L. F., Hintzen, R. Q., Schaefer, C., van Duijn, C. M., Noble, J. A., Raj, T., IMSGC, ANZgene, Gourraud, P.-A., Stranger, B. E., Oksenberg, J., Olsson, T., Taylor, B. V., Sawcer, S., Hafler, D. A., Carrington, M., De Jager, P. L., & de Bakker, P. I. W.
- Affiliations
- Broad Institute (US)
- Kaiser Permanente (US)
- Erasmus MC (NL)
- University of California, San Francisco (US)
- University of Chicago (US)
- Karolinska Institutet (SE)
- University of Tasmania (AU)
- University of Cambridge (GB)
- ORCID
- Venue
- PLoS Genetics
- Publisher
- Public Library of Science (PLoS)
- Published
- 2013-11-21
- Volume
- 9
- Issue
- 11
- Pages
- e1003926
- ISSN
- 1553-7390 (ISSN-L)
- 1553-7404
- PMC
- PMC3836799
- OpenAlex
- W2164021954
- Cited by
- 312
- References
- 50
- Citations by year
- 2026: 19 · 2025: 14 · 2024: 23 · 2023: 19 · 2022: 17 · 2021: 32 · 2020: 30 · 2019: 32 · 2018: 26 · 2017: 21 · 2016: 27 · 2015: 28 · 2014: 22 · 2013: 1
- FWCI
- 19.49
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- public-domain
- creativecommons.org/publicdomain/zero/1.0/ (vor)
- Locations
- PLoS Genetics (publishedVersion, public-domain)
- Europe PMC (PubMed Central) (publishedVersion, public-domain)
- PubMed Central (publishedVersion, public-domain)
- PubMed (publishedVersion)
- Monash University Research Portal (Monash University) (acceptedVersion, other-oa)
- EUR Research Repository (Erasmus University Rotterdam) (acceptedVersion, other-oa)
- QUT ePrints (Queensland University of Technology) (submittedVersion, cc-by)
- Digital Access to Scholarship at Harvard (DASH) (Harvard University) (submittedVersion, cc-by)
- eCite Digital Repository (University of Tasmania) (submittedVersion, public-domain)
- UWA Profiles and Research Repository (UWA) (submittedVersion)
- Murdoch University Research Portal (submittedVersion)
- Knowledge@UChicago (University of Chicago) (submittedVersion, cc-by-nc-nd)
- EUR Research Repository (Erasmus University Rotterdam) (submittedVersion, other-oa)
- RePub (Erasmus University Rotterdam) (submittedVersion, other-oa)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- DSpace@MIT (Massachusetts Institute of Technology) (submittedVersion, cc-by-nc)
- eScholarship (California Digital Library) (submittedVersion)
- eScholarship (California Digital Library) (submittedVersion, public-domain)
- Figshare (submittedVersion)
- Figshare (submittedVersion, cc-by)
- Työväentutkimus Vuosikirja (submittedVersion)
- Minerva Access (University of Melbourne) (submittedVersion)
- RePub (Erasmus University Rotterdam) (submittedVersion)
- University of Chicago
- Funders
- U.S. Department of Health and Human Services (HHSN261200800001E)
- National Multiple Sclerosis Society (JF2138A1)
- John T. Reid Charitable Trusts
- Frederick National Laboratory for Cancer Research (HHSN261200800001E.)
- National Institute for Health and Care Research (NF-SI-0508-10335)
- Multiple Sclerosis Society
- Multiple Sclerosis Australia
- Forskningsrådet för Arbetsliv och Socialvetenskap
- Nederlandse Organisatie voor Wetenschappelijk Onderzoek (016.126.354)
- Stockholms Läns Landsting (562183)
- Vetenskapsrådet
- Trish Multiple Sclerosis Research Foundation
- National Institutes of Health (Contract No. HHSN261200800001E., #HHSN261200800001E, HHSN261200800001C)
- U.S. Public Health Service (NIH/NIAID R01AI076544)
- Australian Research Council (LP0776744)
- National Cancer Institute (HHSN261200800001E))
- National Institute of Allergy and Infectious Diseases (HHSN261200800001E, R01AI076544)
- National Institute of Neurological Disorders and Stroke (R01 NS0495103, R01NS026799, R01NS049510, NIH/NINDS R01NS049510, R01NS049477)
- Topics
- Health Sciences › Medicine › Clinical Neurology › Multiple Sclerosis Research Studies
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genetic Associations and Epidemiology
- Life Sciences › Immunology and Microbiology › Immunology › Psoriasis: Treatment and Pathogenesis
- Keywords
- multiple sclerosis, major histocompatibility complex, HLA-DRB1*1501, TNF-α, TNFRSF1A, disease susceptibility, fine mapping
- MeSH terms
- Alleles, Chromosome Mapping, Haplotypes, Humans, Major Histocompatibility Complex, Membrane Proteins, Multiple Sclerosis, Histocompatibility Antigens Class I, Linkage Disequilibrium, Genetic Predisposition to Disease, Polymorphism, Single Nucleotide, Receptors, Tumor Necrosis Factor, Type I, Intracellular Signaling Peptides and Proteins, Genome-Wide Association Study, HLA-DRB1 Chains, HLA-DP beta-Chains
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