The DOI matches its Crossref record; 30 of the 30 references it cites were found in a registry or an index.
Pervasive Sharing of Genetic Effects in Autoimmune Disease
Open accessAbstract
Genome-wide association (GWA) studies have identified numerous, replicable, genetic associations between common single nucleotide polymorphisms (SNPs) and risk of common autoimmune and inflammatory (immune-mediated) diseases, some of which are shared between two diseases. Along with epidemiological and clinical evidence, this suggests that some genetic risk factors may be shared across diseases-as is the case with alleles in the Major Histocompatibility Locus. In this work we evaluate the extent of this sharing for 107 immune disease-risk SNPs in seven diseases: celiac disease, Crohn's disease, multiple sclerosis, psoriasis, rheumatoid arthritis, systemic lupus erythematosus, and type 1 diabetes. We have developed a novel statistic for Cross Phenotype Meta-Analysis (CPMA) which detects association of a SNP to multiple, but not necessarily all, phenotypes. With it, we find evidence that 47/107 (44%) immune-mediated disease risk SNPs are associated to multiple-but not all-immune-mediated diseases (SNP-wise P(CPMA)<0.01). We also show that distinct groups of interacting proteins are encoded near SNPs which predispose to the same subsets of diseases; we propose these as the mechanistic basis of shared disease risk. We are thus able to leverage genetic data across diseases to construct biological hypotheses about the underlying mechanism of pathogenesis.
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
“many loci were associated with multiple diseases and that the genes encoded in those loci fall into distinct immune pathways.69, 70”
From Genome‐wide association studies of multiple sclerosis (2018) · cites this paper as [70]
Experimental — accuracy not yet measuredThe cited source says what the claim attributes to it.
In the citing paper
“These results suggest that perturbations to key immune processes mediate risk to multiple diseases.”
From Genome‐wide association studies of multiple sclerosis (2018) · cites this paper as [70]
In the citing paper
“Some of these relationships are expected, such as the impact of obesity variants on risk of hepatic steatosis and type 2 diabetes84 or variants that influence multiple autoimmune conditions85.”
From A brief history of human disease genetics (2020) · cites this paper as [85]
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
R: A Language and Environment for Statistical Computing
R Core Team (2000) · doi:10.32614/r.manuals · Cited by 355,893
Hierarchical Grouping to Optimize an Objective Function
Ward, J. H. (1963) · Journal of the American Statistical Association · doi:10.1080/01621459.1963.10500845 · Cited by 21,341
A General Coefficient of Similarity and Some of Its Properties
Gower, J. C. (1971) · Biometrics · doi:10.2307/2528823 · Cited by 5,517
Hindorff, L. A., Sethupathy, P., Junkins, H. A., Ramos, E. M., Mehta, J. P., Collins, F. S., & Manolio, T. A. (2009) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0903103106 · Cited by 4,013
Genome-wide association defines more than 30 distinct susceptibility loci for Crohn's disease
the NIDDK IBD Genetics Consortium, Barrett, J. C., the Belgian-French IBD Consortium, the Wellcome Trust Case Control Consortium, Hansoul, S., Nicolae, D. L., Cho, J. H., Duerr, R. H., Rioux, J. D., Brant, S. R., et al. (2008) · Nature Genetics · doi:10.1038/ng.175 · Cited by 2,593
Self-citationThe Type 1 Diabetes Genetics Consortium, Barrett, J. C., Clayton, D. G., Concannon, P., Akolkar, B., Cooper, J. D., Erlich, H. A., Julier, C., Morahan, G., Nerup, J., et al. (2009) · Nature Genetics · doi:10.1038/ng.381 · Cited by 1,746
Self-citationGenome-wide scan reveals association of psoriasis with IL-23 and NF-κB pathways
Nair, R. P., Duffin, K. C., Helms, C., Ding, J., Stuart, P. E., Goldgar, D. E., Gudjonsson, J. E., Li, Y., Tejasvi, T., Feng, B., et al. (2009) · Nature Genetics · doi:10.1038/ng.311 · Cited by 1,433
Self-citationSNAP: a web-based tool for identification and annotation of proxy SNPs using HapMap
Johnson, A. D., Handsaker, R. E., Pulit, S. L., Nizzari, M. M., O’Donnell, C. J., & de Bakker, P. I. W. (2008) · Bioinformatics · doi:10.1093/bioinformatics/btn564 · Cited by 1,339
Genome-wide association study meta-analysis identifies seven new rheumatoid arthritis risk loci
BIRAC Consortium, Stahl, E. A., YEAR Consortium, Raychaudhuri, S., Remmers, E. F., Xie, G., Eyre, S., Thomson, B. P., Li, Y., Kurreeman, F. A. S., et al. (2010) · Nature Genetics · doi:10.1038/ng.582 · Cited by 1,253
Self-citationSTAT4 and the Risk of Rheumatoid Arthritis and Systemic Lupus Erythematosus
Remmers, E. F., Plenge, R. M., Lee, A. T., Graham, R., Hom, G., Behrens, T. W., de Bakker, P. I. W., Le, J. M., Lee, H., Batliwalla, F., et al. (2007) · New England Journal of Medicine · doi:10.1056/nejmoa073003 · Cited by 1,055
Self-citation
Flagged first, then by citations
Cited by
Sorted by citations
Items 201–300 of 596
A Handbook for the Study of Mental Health
(2017) · Cambridge University Press eBooks · doi:10.1017/9781316471289 · Cited by 43
Genetic basis of defects in immune tolerance underlying the development of autoimmunity
Hocking, A. M., & Buckner, J. H. (2022) · Frontiers in Immunology · doi:10.3389/fimmu.2022.972121 · Cited by 38
Genetics of multiple sclerosis
Hoppenbrouwers, I. A., & Hintzen, R. Q. (2010) · Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease · doi:10.1016/j.bbadis.2010.09.017 · Cited by 39
Polymorphisms inNLRP1gene and susceptibility to autoimmune thyroid disease
Alkhateeb, A. M., Jarun, Y., & Tashtoush, R. (2013) · Autoimmunity · doi:10.3109/08916934.2013.768617 · Cited by 37
Disease classification: from phenotypic similarity to integrative genomics and beyond
Dozmorov, M. G. (2018) · Briefings in Bioinformatics · doi:10.1093/bib/bby049 · Cited by 36
Modeling regulatory network topology improves genome-wide analyses of complex human traits
Zhu, X., Duren, Z., & Wong, W. H. (2021) · Nature Communications · doi:10.1038/s41467-021-22588-0 · Cited by 36
Clinical fracture risk evaluated by hierarchical agglomerative clustering
Kruse, C., Eiken, P., & Vestergaard, P. (2016) · Osteoporosis International · doi:10.1007/s00198-016-3828-8 · Cited by 35
Genome-wide significant association of ANKRD55 rs6859219 and multiple sclerosis risk
Lill, C. M., Schjeide, B. M., Graetz, C., Liu, T., Damotte, V., Akkad, D. A., Blaschke, P., Gerdes, L.-A., Kroner, A., Luessi, F., et al. (2013) · Journal of Medical Genetics · doi:10.1136/jmedgenet-2012-101411 · Cited by 34
Genetics in PSC: What Do the “Risk Genes” Teach Us?
Folseraas, T., Liaskou, E., Anderson, C. A., & Karlsen, T. H. (2014) · Clinical Reviews in Allergy & Immunology · doi:10.1007/s12016-014-8417-z · Cited by 36
Conrad, K., Shoenfeld, Y., & Fritzler, M. J. (2020) · Autoimmunity Reviews · doi:10.1016/j.autrev.2020.102508 · Cited by 35
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 39
Zeng, P., Hao, X., & Zhou, X. (2018) · Bioinformatics · doi:10.1093/bioinformatics/bty204 · Cited by 34
Multitrait GWAS to connect disease variants and biological mechanisms
Julienne, H., Laville, V., McCaw, Z. R., He, Z., Guillemot, V., Lasry, C., Ziyatdinov, A., Nerin, C., Vaysse, A., Lechat, P., et al. (2021) · PLoS Genetics · doi:10.1371/journal.pgen.1009713 · Cited by 35
Genome-wide association studies in neurology.
Tan, M., Jiang, T., Tan, L., & Yu, J. (2014) · Europe PMC (PubMed Central) · doi:10.3978/j.issn.2305-5839.2014.11.12 · Cited by 35
Human genetics offers an emerging picture of common pathways and mechanisms in autoimmunity
Voight, B. F., & Cotsapas, C. J. (2012) · Current Opinion in Immunology · doi:10.1016/j.coi.2012.07.013 · Cited by 33
Self-citationGustafsson, M., Edström, M., Gawel, D. R., Nestor, C. E., Wang, H., Zhang, H., Barrenäs, F., Tojo, J., Kockum, I. S., Olsson, T. P., et al. (2014) · Genome Medicine · doi:10.1186/gm534 · Cited by 33
Integrative Genetic and Epigenetic Analysis Uncovers Regulatory Mechanisms of Autoimmune Disease
Shooshtari, P., Huang, H., & Cotsapas, C. (2017) · The American Journal of Human Genetics · doi:10.1016/j.ajhg.2017.06.001 · Cited by 33
Self-citationYou, D., Wu, Y., Lu, M., Shao, F., Tang, Y., Liu, S., Liu, L., Zhou, Z., Zhang, R., Shen, S., et al. (2025) · Nature Communications · doi:10.1038/s41467-025-58248-w · Cited by 35
Bagley, S. C., Sirota, M., Chen, R., Butte, A. J., & Altman, R. B. (2016) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1004885 · Cited by 32
Bayesian meta‐analysis across genome‐wide association studies of diverse phenotypes
Trochet, H., Pirinen, M., Band, G., Jostins, L., McVean, G., & Spencer, C. C. A. (2019) · Genetic Epidemiology · doi:10.1002/gepi.22202 · Cited by 33
What have we learned from six years of GWAS in autoimmune diseases, and what is next?
Hu, X., & Daly, M. J. (2012) · Current Opinion in Immunology · doi:10.1016/j.coi.2012.09.001 · Cited by 34
Self-citationSkov, J., Höijer, J., Magnusson, P. K. E., Ludvigsson, J. F., Kämpe, O., & Bensing, S. (2017) · Endocrine · doi:10.1007/s12020-017-1441-z · Cited by 33
Greenfield, J., Hudson, M., Vinet, É., Fortin, P. R., Bykerk, V. P., Pineau, C. A., Wang, M., Bernatsky, S., & Baron, M. G. (2017) · PLoS ONE · doi:10.1371/journal.pone.0189840 · Cited by 32
Schäefer, A. S., Jochens, A., Dommisch, H., Graetz, C., Jockel‐Schneider, Y., Harks, I., Staufenbiel, I., Meyle, J., Eickholz, P., Folwaczny, M., et al. (2014) · Journal Of Clinical Periodontology · doi:10.1111/jcpe.12314 · Cited by 31
Self-citationCaldérari, S., Ria, M., Gérard, C., Nogueira, T. C., Villate, O., Collins, S. C., Neil, H., Gervasi, N., Hue, C., Suárez-Zamorano, N., et al. (2017) · Genomics · doi:10.1016/j.ygeno.2017.09.001 · Cited by 32
POLR2C Mutations Are Associated With Primary Ovarian Insufficiency in Women
Moriwaki, M., Moore, B., Mosbruger, T. L., Neklason, D. W., Yandell, M. D., Jorde, L. B., & Welt, C. K. (2017) · Journal of the Endocrine Society · doi:10.1210/js.2016-1014 · Cited by 31
Goris, A., van Setten, J., Diekstra, F. P., Ripke, S., Patsopoulos, N. A., Sawcer, S. J., van Es, M. A., Andersen, P. M., Melki, J., Meininger, V., et al. (2013) · Human Molecular Genetics · doi:10.1093/hmg/ddt574 · Cited by 30
Karaky, M., Fedetz, M., Potenciano, V., Andrés‐León, E., Esteve‐Codina, A., Barrionuevo, C., Alcina, A., & Matesanz, F. (2018) · Human Molecular Genetics · doi:10.1093/hmg/ddy284 · Cited by 30
D’Avino, P., Serena, G., Kenyon, V., & Fasano, A. (2021) · Expert Review of Clinical Immunology · doi:10.1080/1744666x.2021.1880320 · Cited by 32
Hart, B. A. ‘., Bogers, W. M. J. M., Haanstra, K. G., Verreck, F. A. W., & Kocken, C. H. M. (2015) · European Journal of Pharmacology · doi:10.1016/j.ejphar.2015.03.023 · Cited by 30
Distinct Tissue-Specific Roles for the Disease-Associated Autophagy Genes ATG16L2 and ATG16L1
Khor, B., Conway, K. L., Omar, A. S., Biton, M., Haber, A. L., Rogel, N., Baxt, L. A., Begun, J., Kuballa, P., Gagnon, J. D., et al. (2019) · The Journal of Immunology · doi:10.4049/jimmunol.1800419 · Cited by 28
PTPN22 R620W gene editing in T cells enhances low-avidity TCR responses
Anderson, W., Barahmand-pour-Whitman, F., Linsley, P. S., Cerosaletti, K. M., Buckner, J. H., & Rawlings, D. J. (2023) · eLife · doi:10.7554/elife.81577 · Cited by 28
Metabolic Disorders and Psoriasis: Exploring the Role of Nutritional Interventions
Cintoni, M., Palombaro, M., Maramao, F. S., Raoul, P. C., Egidi, G., Leonardi, E., Bianchi, L., Campione, E., Rinninella, E., Gasbarrini, A., et al. (2023) · Nutrients · doi:10.3390/nu15183876 · Cited by 28
Parkkola, A., Laine, A., Karhunen, M., Härkönen, T., Ryhänen, S. J., Ilonen, J., Knip, M., & Register, T. F. P. D. (2017) · PLoS ONE · doi:10.1371/journal.pone.0188402 · Cited by 28
What is next after the genes for autoimmunity?
Castiblanco, J., Arcos‐Burgos, M., & Anaya, J. (2013) · BMC Medicine · doi:10.1186/1741-7015-11-197 · Cited by 27
Genetic variation associated with cardiovascular risk in autoimmune diseases
Perrotti, P. P., Aterido, A., Fernández‐Nebro, A., Cañete, J. D. D., Ferrándiz, C., Tornero, J., Gisbert, J. P., Domènech, E., Fernández‐Gutiérrez, B., Gomollón, F., et al. (2017) · PLoS ONE · doi:10.1371/journal.pone.0185889 · Cited by 27
Genetic overlap between type 1 diabetes and other autoimmune diseases
Márquez, A., & Martin, J. J. (2021) · Seminars in Immunopathology · doi:10.1007/s00281-021-00885-6 · Cited by 29
Eriksson, D., Bianchi, M., Landegren, N., Dalin, F., Skov, J., Hultin‐Rosenberg, L., Mathioudaki, A., Nordin, J., Hallgren, Å., Andersson, G., et al. (2018) · Scientific Reports · doi:10.1038/s41598-018-26842-2 · Cited by 28
Mouse mutant phenotyping at scale reveals novel genes controlling bone mineral density
Swan, A., Schütt, C., Rozman, J., Moreno, M. D. M. M., Brandmaier, S., Simon, M., Leuchtenberger, S., Griffiths, M. N. D., Brommage, R., Keskivali-Bond, P., et al. (2020) · PLoS Genetics · doi:10.1371/journal.pgen.1009190 · Cited by 27
Carnero‐Montoro, E., & Alarcón-Riquelme, M. E. (2018) · Clinical Immunology · doi:10.1016/j.clim.2018.03.014 · Cited by 26
The genetics of autoimmune Addison disease: past, present and future
Røyrvik, E. C., & Husebye, E. S. (2022) · Nature Reviews Endocrinology · doi:10.1038/s41574-022-00653-y · Cited by 26
Wang, Z., Liang, Q., Qian, X., Hu, B., Zheng, Z., Wang, J., Hu, Y., Bao, Z., Zhao, K., Zhou, Y., et al. (2023) · Nature Communications · doi:10.1038/s41467-023-36897-z · Cited by 29
Park, H., Li, X., Song, Y. E., He, K., & Zhu, X. (2016) · PLoS ONE · doi:10.1371/journal.pone.0163912 · Cited by 27
An autoimmune transcriptional circuit drives FOXP3 + regulatory T cell dysfunction
Sumida, T. S., Lincoln, M. R., He, L., Park, Y., Ota, M., Oguchi, A., Son, R., Yi, A., Stillwell, H. A., Leissa, G. A., et al. (2024) · Science Translational Medicine · doi:10.1126/scitranslmed.adp1720 · Cited by 25
Self-citationAsimit, J. L., Rainbow, D. B., Fortune, M. D., Grinberg, N. F., Wicker, L. S., & Wallace, C. (2019) · Nature Communications · doi:10.1038/s41467-019-11271-0 · Cited by 25
Self-citationLo, C., Khalili, H., Lochhead, P. J., Song, M., Lopes, E. W., Burke, K. E., Richter, J. M., Chan, A. T., & Ananthakrishnan, A. N. (2020) · Alimentary Pharmacology & Therapeutics · doi:10.1111/apt.16210 · Cited by 25
Multiple sclerosis is associated with psoriasis. A case–control study
Fellner, A., Dano, M., Regev, K., Mosek, A., & Karni, A. (2014) · Journal of the Neurological Sciences · doi:10.1016/j.jns.2014.01.003 · Cited by 25
Bianchi, E., & Rogge, L. (2019) · Microbes and Infection · doi:10.1016/j.micinf.2019.06.009 · Cited by 25
Cerosaletti, K. M., & Buckner, J. H. (2012) · The Review of Diabetic Studies · doi:10.1900/rds.2012.9.188 · Cited by 25
Anti-inflammatory genes associated with multiple sclerosis: A gene expression study
Perga, S., Montarolo, F., Martire, S., Berchialla, P., Malucchi, S., & Bertolotto, A. (2015) · Journal of Neuroimmunology · doi:10.1016/j.jneuroim.2015.01.004 · Cited by 24
Verma, A., Basile, A. O., Bradford, Y., Kuivaniemi, H., Tromp, G., Carey, D. J., Gerhard, G. S., Crowe, J. E., Ritchie, M. D., & Pendergrass, S. A. (2016) · PLoS ONE · doi:10.1371/journal.pone.0160573 · Cited by 24
Familial Aggregation of Psoriasis and Co-Aggregation of Autoimmune Diseases in Affected Families
Huang, Y., Kuo, C., Huang, L.-H., & Hsieh, M.-Y. (2019) · Journal of Clinical Medicine · doi:10.3390/jcm8010115 · Cited by 24
Learning from Fifteen Years of Genome-Wide Association Studies in Age-Related Macular Degeneration
Strunz, T., Kiel, C., Sauerbeck, B. L., & Weber, B. H. F. (2020) · Cells · doi:10.3390/cells9102267 · Cited by 24
Studying Stress in the Twenty-First-Century: An Update of Stress Concepts and Research
Wheaton, B., & Montazer, S. (2017) · Cambridge University Press eBooks · doi:10.1017/9781316471289.013 · Cited by 24
Principal Component Analysis Characterizes Shared Pathogenetics from Genome-Wide Association Studies
Chang, D., & Keinan, A. (2014) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1003820 · Cited by 24
Allelic expression mapping across cellular lineages to establish impact of non‐coding SNPs
Adoue, V., Schiavi, A., Light, N. D., Almlöf, J. C., Lundmark, P., Ge, B., Kwan, T., Caron, M., Rönnblom, L., Wang, C., et al. (2014) · Molecular Systems Biology · doi:10.15252/msb.20145114 · Cited by 23
Sumoylation Modulates the Susceptibility to Type 1 Diabetes
Zhang, J., Chen, Z., Zhou, Z., Yang, P. C., & Wang, C. (2017) · Advances in experimental medicine and biology · doi:10.1007/978-3-319-50044-7_18 · Cited by 24
Modeling tissue co-regulation estimates tissue-specific contributions to disease
Amariuta, T., Siewert, K. M., & Price, A. L. (2023) · Nature Genetics · doi:10.1038/s41588-023-01474-z · Cited by 26
Salinas, Y. D., Wang, Z., & DeWan, A. T. (2017) · American Journal of Epidemiology · doi:10.1093/aje/kwx296 · Cited by 24
Chemokine receptors in psoriasis
Singh, T. P., Lee, C. H., & Farber, J. M. (2013) · Expert Opinion on Therapeutic Targets · doi:10.1517/14728222.2013.838220 · Cited by 23
The genomic landscape of human immune-mediated diseases
Wu, X., Chen, H., & Xu, H. (2015) · Journal of Human Genetics · doi:10.1038/jhg.2015.99 · Cited by 23
Detection and interpretation of shared genetic influences on 40 human traitsPreprint
Pickrell, J. K., Berisa, T., Ségurel, L., Tung, J. Y., & Hinds, D. A. (2015) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/019885 · Cited by 24
AN INTEGRATIVE PIPELINE FOR MULTI-MODAL DISCOVERY OF DISEASE RELATIONSHIPS
Glicksberg, B. S., Li, L., Cheng, W., Shameer, K., Hakenberg, J., Castellanos, R., Ma, M., Shi, L., Shah, H., Dudley, J. T., et al. (2014) · Pacific Symposium on Biocomputing (PSB) · doi:10.1142/9789814644730_0039 · Cited by 22
Saurabh, R., Fouodo, C. J. K., König, I. R., Busch, H. S., & Wohlers, I. (2022) · Frontiers in Immunology · doi:10.3389/fimmu.2022.972107 · Cited by 22
The role of tunable activation thresholds in the dynamics of autoimmunity
Blyuss, K. B., & Nicholson, L. B. (2012) · Journal of Theoretical Biology · doi:10.1016/j.jtbi.2012.05.019 · Cited by 22
Brorsson, C., Önengüt, S., Chen, W., Wenzlau, J. M., Yu, L., Baker, P. R., Williams, A. J. K., Bingley, P. J., Hutton, J. C., Eisenbarth, G. S., et al. (2015) · Diabetes · doi:10.2337/db14-1730 · Cited by 22
Self-citationPublicly Available Data Provide Evidence against NR1H3 R415Q Causing Multiple Sclerosis
Minikel, E. V., & MacArthur, D. G. (2016) · Neuron · doi:10.1016/j.neuron.2016.09.054 · Cited by 22
Hudson, M., Bernatsky, S., Colmegna, I., Lora, M., Pastinen, T., Oros, K. K., & Greenwood, C. M. T. (2017) · Epigenetics · doi:10.1080/15592294.2017.1303581 · Cited by 22
Ólafsson, S., Stridh, P., Bos, S. D., Ingason, A., Euesden, J., Sulem, P., Þorleifsson, G., Gústafsson, Ó., Jóhannesson, A. J., Geirsson, Á. J., et al. (2017) · npj Genomic Medicine · doi:10.1038/s41525-017-0027-2 · Cited by 22
Multivariate generalized linear model for genetic pleiotropy
Schaid, D. J., Tong, X., Batzler, A. J., Sinnwell, J. P., Jiang, Q. Y., & Biernacka, J. M. (2017) · Biostatistics · doi:10.1093/biostatistics/kxx067 · Cited by 22
Émond, B., Ellis, L., Chakravarty, S. D., Ladouceur, M., & Lefèbvre, P. (2019) · Current Medical Research and Opinion · doi:10.1080/03007995.2019.1620713 · Cited by 22
Sibling Exposure and Risk of Juvenile Idiopathic Arthritis
Miller, J. E., Ponsonby, A., Pezic, A., Kemp, A. H., Piper, S. E., Akikusa, J., Allen, R. C., Munro, J. E., & Ellis, J. A. (2015) · Arthritis & Rheumatology · doi:10.1002/art.39129 · Cited by 21
Profiling celiac disease antibody repertoire
D’Angelo, S., Mignone, F., Deantonio, C., Niro, R. D., Bordoni, R., Marzari, R., Bellis, G. D., Not, T., Ferrara, F., Bradbury, A. M., et al. (2013) · Clinical Immunology · doi:10.1016/j.clim.2013.04.009 · Cited by 21
Qian, D. C., Byun, J., Han, Y., Greene, C. S., Field, J. K., Hung, R. J., Brhane, Y., McLaughlin, J. R., Fehringer, G., Landi, M. T., et al. (2015) · Human Molecular Genetics · doi:10.1093/hmg/ddv440 · Cited by 22
The Dual Continua Model: The Foundation of the Sociology of Mental Health and Mental Illness
Keyes, C. L. M. (2017) · Cambridge University Press eBooks · doi:10.1017/9781316471289.007 · Cited by 22
The Genetic Control of the Rheumatic Heart: Closing the Genotype-Phenotype Gap
Abdallah, A. M., & Abu-Madi, M. A. (2021) · Frontiers in Medicine · doi:10.3389/fmed.2021.611036 · Cited by 21
Wang, T., Lu, H., & Zeng, P. (2021) · Briefings in Bioinformatics · doi:10.1093/bib/bbab389 · Cited by 21
Heat strain during at-sea helicopter operations and the effect of passive microclimate cooling.
Banta, G. R., & Braun, D. E. (1992) · PubMed · Cited by 21
Childhood and adolescent psoriasis in Greece: a retrospective analysis of 842 patients
Moustou, A. E., Kakourou, T., Masouri, S., Alexopoulos, A., Sachlas, A., & Antoniou, C. (2014) · International Journal of Dermatology · doi:10.1111/ijd.12225 · Cited by 20
Wang, L., Oehlers, S. H., Espenschied, S. T., Rawls, J. F., Tobin, D. M., & Ko, D. C. (2015) · Genome biology · doi:10.1186/s13059-015-0722-1 · Cited by 20
Richard, A. C., Peters, J. E., Lee, J. C., Vahedi, G., Schäffer, A. A., Siegel, R. M., Lyons, P., & Smith, K. G. C. (2016) · Genome Medicine · doi:10.1186/s13073-016-0329-5 · Cited by 20
Insights into the pathogenesis of psoriatic arthritis from genetic studies
Rahmati, S., Li, Q., Rahman, P., & Chandran, V. (2021) · Seminars in Immunopathology · doi:10.1007/s00281-021-00843-2 · Cited by 20
Zhang, X., Lucas, A., Veturi, Y., Drivas, T. G., Bone, W. P., Verma, A., Chung, W. K., Crosslin, D. R., Denny, J. C., Hebbring, S. J., et al. (2022) · Nature Communications · doi:10.1038/s41467-022-30678-w · Cited by 21
Chronic autoimmune-mediated inflammation: a senescent immune response to injury
Hart, B. A. ‘., Chalan, P., Koopman, G., & Boots, A. M. H. (2012) · Drug Discovery Today · doi:10.1016/j.drudis.2012.11.010 · Cited by 20
Celiac Disease—A Complex Disorder
Koehler, P., Wieser, H., & Konitzer, K. (2014) · Elsevier eBooks · doi:10.1016/b978-0-12-420220-7.00001-8 · Cited by 20
Fulfilling the promise of Mendelian randomizationPreprint
Pickrell, J. K. (2015) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/018150 · Cited by 22
An Inflection Point in Gene Discovery Efforts for Neurodegenerative Diseases
Jager, P. L. D., & Bennett, D. A. (2013) · JAMA Neurology · doi:10.1001/jamaneurol.2013.275 · Cited by 19
Small molecules under development for psoriasis: on the road to the individualized therapies
Cervantes‐Durán, C., María-Elena, V.-H., Valentin‐Escalera, J., Bartolomé‐Camacho, M. C., Rodríguez-Orozco, A. R., & García‐Pérez, M. (2020) · Archives of Dermatological Research · doi:10.1007/s00403-020-02056-3 · Cited by 19
Thomas, A. S., Criss, Z. K., Shroyer, N. F., & Abraham, B. P. (2020) · Inflammatory Bowel Diseases · doi:10.1093/ibd/izaa292 · Cited by 19
Ning, K., Gettler, K., Zhang, W., Ng, S. M. E., Bowen, B. M., Hyams, J. S., Stephens, M. C., Kugathasan, S., Denson, L. A., Schadt, E. E., et al. (2015) · Human Molecular Genetics · doi:10.1093/hmg/ddv142 · Cited by 18
Self-citationAlves, A. C., Bruhn, S., Ramasamy, A., Wang, H., Holloway, J. W., Hartikainen, A., Järvelin, M., Benson, M., Balding, D. J., & Coin, L. (2013) · PLoS ONE · doi:10.1371/journal.pone.0074821 · Cited by 18
This I Believe: Gaining New Insights Through Integrating “Old” Data
Loos, R. J. F., & Schadt, E. E. (2012) · Frontiers in Genetics · doi:10.3389/fgene.2012.00137 · Cited by 18
Expanding the Immunology Toolbox: Embracing Public-Data Reuse and Crowdsourcing
Sparks, R., Lau, W. W., & Tsang, J. S. (2016) · Immunity · doi:10.1016/j.immuni.2016.12.008 · Cited by 18
IL-23/IL-17 INHIBITORS IN IMMUNOINFLAMMATORY RHEUMATIC DISEASES: NEW HORIZONS
Nasonov, E. L., Korotaeva, T. V., Дубинина, Т. В., & Lila, A. M. (2019) · Rheumatology Science and Practice · doi:10.14412/1995-4484-2019-400-406 · Cited by 18
Hudesman, D. P., Chakravarty, S. D., Émond, B., Ellis, L., Lefèbvre, P., Sadik, K., & Scher, J. U. (2020) · BMC Rheumatology · doi:10.1186/s41927-020-0115-2 · Cited by 18
Comprehensive functional annotation of susceptibility variants associated with asthma
Gautam, Y., Afanador, Y., Ghandikota, S. K., & Baye, T. M. (2020) · Human Genetics · doi:10.1007/s00439-020-02151-5 · Cited by 18
Burren, O. S., Reales, G., Wong, L., Bowes, J., Lee, J. C., Barton, A. C., Lyons, P., Smith, K. G. C., Thomson, W., Kirk, P., et al. (2020) · Genome Medicine · doi:10.1186/s13073-020-00797-4 · Cited by 18
Self-citationLu, H., Zhang, J., Jiang, Z., Zhang, M., Wang, T., Zhao, H., & Zeng, P. (2021) · Frontiers in Genetics · doi:10.3389/fgene.2021.656545 · Cited by 20
Yu, Z., Li, C. F., Mkhikian, H., Zhou, R. W., Newton, B. L., & Demetriou, M. (2014) · Genes and Immunity · doi:10.1038/gene.2014.7 · Cited by 18
Socioeconomic Stratification and Mental Disorder
Eaton, W. W., & Muntaner, C. (2017) · Cambridge University Press eBooks · doi:10.1017/9781316471289.016 · Cited by 18
Metadata
- Authors
- Cotsapas, C., Voight, B. F., Rossin, E., Lage, K., Neale, B. M., Wallace, C., Abecasis, G. R., Barrett, J. C., Behrens, T., Cho, J., De Jager, P. L., Elder, J. T., Graham, R. R., Gregersen, P., Klareskog, L., Siminovitch, K. A., van Heel, D. A., Wijmenga, C., Worthington, J., Todd, J. A., Hafler, D. A., Rich, S. S., Daly, M. J., & on behalf of the FOCiS Network of Consortia
- Affiliations
- Massachusetts General Hospital (US)
- Broad Institute (US)
- University of Cambridge (GB)
- University of Michigan (US)
- Wellcome Sanger Institute (GB)
- Genentech (US)
- Yale University (US)
- Northwell Health (US)
- Karolinska Institutet (SE)
- Mount Sinai Hospital (CA)
- University Medical Center Groningen (NL)
- Manchester Academic Health Science Centre (GB)
- University of Virginia (US)
- Corresponding author
- Daly, Mark J.
- ORCID
- Cotsapas, Chris
- Voight, Benjamin F.
- Rossin, Elizabeth
- Lage, Kasper
- Neale, Benjamin M.
- Wallace, Chris
- Abecasis, Gonçalo R.
- Barrett, Jeffrey C.
- Behrens, Timothy
- Cho, Judy
- Elder, James T.
- Graham, Robert R.
- Gregersen, Peter
- Klareskog, Lars
- Wijmenga, Cisca
- Worthington, Jane
- Todd, John A.
- Hafler, David A.
- Rich, Stephen S.
- Daly, Mark J.
- Venue
- PLoS Genetics
- Publisher
- Public Library of Science (PLoS)
- Published
- 2011-08-10
- Volume
- 7
- Issue
- 8
- Pages
- e1002254
- ISSN
- 1553-7390 (ISSN-L)
- 1553-7404
- PMC
- PMC3154137
- OpenAlex
- W1859891932
- Cited by
- 606
- References
- 30
- Citations by year
- 2026: 18 · 2025: 18 · 2024: 21 · 2023: 26 · 2022: 26 · 2021: 27 · 2020: 40 · 2019: 37 · 2018: 40 · 2017: 77 · 2016: 40 · 2015: 54 · 2014: 57 · 2013: 63 · 2012: 52
- FWCI
- 6.01
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Locations
- PLoS Genetics (publishedVersion, cc-by)
- Europe PMC (PubMed Central) (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- Research Explorer (The University of Manchester) (submittedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- DSpace@MIT (Massachusetts Institute of Technology) (submittedVersion, cc-by-nc)
- Figshare (submittedVersion, cc-by)
- Technical University of Denmark, DTU Orbit (Technical University of Denmark, DTU) (submittedVersion, other-oa)
- University of Groningen research database (University of Groningen / Centre for Information Technology) (submittedVersion, cc-by)
- Queen Mary Research Online (Queen Mary University of London) (submittedVersion, cc-by)
- PLoS eBooks
- Funders
- Wellcome Trust (091157, 089989)
- National Institute for Health and Care Research (NF-SI-0508-10275)
- Versus Arthritis (/17552)
- National Institute of General Medical Sciences (T32GM007753)
- National Institute of Diabetes and Digestive and Kidney Diseases (P30DK043351)
- National Institute of Arthritis and Musculoskeletal and Skin Diseases (R01AR050511, R01AR042742, R01AR054966)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genetic Associations and Epidemiology
- Health Sciences › Medicine › Clinical Neurology › Multiple Sclerosis Research Studies
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genetic Mapping and Diversity in Plants and Animals
- Keywords
- autoimmune disease, shared genetic risk, immune-mediated diseases, single nucleotide polymorphisms, celiac disease, Crohn's disease, multiple sclerosis, psoriasis, rheumatoid arthritis, systemic lupus erythematosus, type 1 diabetes, protein-protein interaction network, pathogenesis, MHC locus
- MeSH terms
- Autoimmune Diseases, Humans, Phenotype, Comorbidity, Cluster Analysis, Polymorphism, Single Nucleotide, Genome-Wide Association Study, Genetic Loci, Protein Interaction Maps
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