Identification of Novel Type 1 Diabetes Candidate Genes by Integrating Genome-Wide Association Data, Protein-Protein Interactions, and Human Pancreatic Islet Gene Expression
Open accessAbstract
Genome-wide association studies (GWAS) have heralded a new era in susceptibility locus discovery in complex diseases. For type 1 diabetes, >40 susceptibility loci have been discovered. However, GWAS do not inevitably lead to identification of the gene or genes in a given locus associated with disease, and they do not typically inform the broader context in which the disease genes operate. Here, we integrated type 1 diabetes GWAS data with protein-protein interactions to construct biological networks of relevance for disease. A total of 17 networks were identified. To prioritize and substantiate these networks, we performed expressional profiling in human pancreatic islets exposed to proinflammatory cytokines. Three networks were significantly enriched for cytokine-regulated genes and, thus, likely to play an important role for type 1 diabetes in pancreatic islets. Eight of the regulated genes (CD83, IFNGR1, IL17RD, TRAF3IP2, IL27RA, PLCG2, MYO1B, and CXCR7) in these networks also harbored single nucleotide polymorphisms nominally associated with type 1 diabetes. Finally, the expression and cytokine regulation of these new candidate genes were confirmed in insulin-secreting INS-1 β-cells. Our results provide novel insight to the mechanisms behind type 1 diabetes pathogenesis and, thus, may provide the basis for the design of novel treatment strategies.
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.
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?
Common genetic variants in PLCG2 link the enzyme to type 1 diabetes and venous thromboembolism.
“Common genetic variants in PLCG2 also link the enzyme to type 1 diabetes (119) and venous thromboembolism (120), which could have a shared autoimmune etiology.”
From The role of PLCγ2 in immunological disorders, cancer, and neurodegeneration (2021) · cites this paper as [119]
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
Analysis of Relative Gene Expression Data Using Real-Time Quantitative PCR and the 2−ΔΔCT Method
Livak, K. J., & Schmittgen, T. D. (2001) · Methods · doi:10.1006/meth.2001.1262 · Cited by 180,860 · see citing works
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
Gene Ontology: tool for the unification of biology
Ashburner, M., Ball, C. A., Blake, J. A., Botstein, D., Butler, H., Cherry, J. M., Davis, A. P., Dolinski, K., Dwight, S. S., Eppig, J. T., et al. (2000) · Nature Genetics · doi:10.1038/75556 · Cited by 43,206 · see citing works
The KEGG resource for deciphering the genome
Kanehisa, M. (2003) · Nucleic Acids Research · doi:10.1093/nar/gkh063 · Cited by 5,121 · see citing works
An efficient algorithm for large-scale detection of protein families
Enright, A. J. (2002) · Nucleic Acids Research · doi:10.1093/nar/30.7.1575 · Cited by 3,536 · see citing works
Global landscape of protein complexes in the yeast Saccharomyces cerevisiae
Krogan, N. J., Cagney, G., Yu, H., Zhong, G., Guo, X., Ignatchenko, A., Li, J., Pu, S., Datta, N., Tikuisis, A., et al. (2006) · Nature · doi:10.1038/nature04670 · Cited by 2,915 · see citing works
STRING 8--a global view on proteins and their functional interactions in 630 organisms
Jensen, L. J., Kuhn, M., Stark, M., Chaffron, S., Creevey, C. J., Muller, J., Doerks, T., Julien, P., Roth, A. C., Simonovic, M., et al. (2008) · Nucleic Acids Research · doi:10.1093/nar/gkn760 · Cited by 2,475 · see citing works
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 · see citing works
Self-citationNetwork‐based classification of breast cancer metastasis
Chuang, H., Lee, E., Liu, Y., Lee, D., & Ideker, T. (2007) · Molecular Systems Biology · doi:10.1038/msb4100180 · Cited by 1,431 · see citing works
A network-based analysis of systemic inflammation in humans
Program, I. A. H. R. T. I. L. S. C. R., Calvano, S. E., Xiao, W., Richards, D. R., Felciano, R. M., Baker, H. V., Cho, R. J., Chen, R. O., Brownstein, B. H., Cobb, J. P., et al. (2005) · Nature · doi:10.1038/nature03985 · Cited by 1,429 · see citing works
Circuitry of nuclear factor κB signaling
Hoffmann, A., & Baltimore, D. (2006) · Immunological Reviews · doi:10.1111/j.0105-2896.2006.00375.x · Cited by 907 · see citing works
The Function of GRB2 in Linking the Insulin Receptor to Ras Signaling Pathways
Skolnik, E. Y., Batzer, A., Li, N., Lee, C., Lowenstein, E. J., Mohammadi, M., Margolis, B. L., & Schlessinger, J. (1993) · Science · doi:10.1126/science.8316835 · Cited by 632 · see citing works
Network modeling links breast cancer susceptibility and centrosome dysfunction
Pujana, M. Á., Han, J.-D. J., Starita, L. M., Purrington, K. S., Tewari, M., Ahn, J. S., Rennert, G., Moreno, V. R., Kirchhoff, T., Gold, B., et al. (2007) · Nature Genetics · doi:10.1038/ng.2007.2 · Cited by 611 · see citing works
Genomewide Association Studies — Illuminating Biologic Pathways
Hirschhorn, J. N. (2009) · New England Journal of Medicine · doi:10.1056/nejmp0808934 · Cited by 510 · see citing works
CXCR7 Functions as a Scavenger for CXCL12 and CXCL11
Naumann, U., Cameroni, E., Pruenster, M., Mahabaleshwar, H., Raz, E., Zerwes, H., Rot, A., & Thelen, M. (2010) · PLoS ONE · doi:10.1371/journal.pone.0009175 · Cited by 471 · see citing works
Rossin, E. J., Lage, K., Raychaudhuri, S., Xavier, R. J., Tatar, D., Benita, Y., Constortium, I. I. B. D. G., Cotsapas, C., & Daly, M. J. (2011) · PLoS Genetics · doi:10.1371/journal.pgen.1001273 · Cited by 438 · see citing works
Lowe, C. E., Cooper, J. D., Brusko, T. M., Walker, N. M., Smyth, D. J., Bailey, R., Bourget, K., Plagnol, V., Field, S., Atkinson, M. A., et al. (2007) · Nature Genetics · doi:10.1038/ng2102 · Cited by 427 · see citing works
Pathway and network-based analysis of genome-wide association studies in multiple sclerosis
Baranzini, S. E., Galwey, N. W., Wang, J., Khankhanian, P., Lindberg, R., Pelletier, D., Wu, W., Uitdehaag, B. M. J., Kappos, L., GeneMSA Consortium, et al. (2009) · Human Molecular Genetics · doi:10.1093/hmg/ddp120 · Cited by 383 · see citing works
Inhibition of Th17 Cells Regulates Autoimmune Diabetes in NOD Mice
Emamaullee, J. A., Davis, J., Merani, S., Toso, C., Elliott, J. F., Thiesen, A., & Shapiro, A. M. J. (2009) · Diabetes · doi:10.2337/db08-1113 · Cited by 378 · see citing works
Common variants at TRAF3IP2 are associated with susceptibility to psoriatic arthritis and psoriasis
Hüffmeier, U., Uebe, S., Ekici, A. B., Bowes, J., Giardina, E., Korendowych, E., Juneblad, K., Apel, M., McManus, R., Ho, P., et al. (2010) · Nature Genetics · doi:10.1038/ng.688 · Cited by 372 · see citing works
The genetic interpretation of area under the ROC curve in genomic profiling
Wray, N. R., Yang, J., Goddard, M. E., & Visscher, P. M. (2010) · PLoS Genetics · doi:10.1371/journal.pgen.1000864 · Cited by 334 · see citing works
Genetics of Type 1 Diabetes: What's Next?
Pociot, F., Akolkar, B., CONCANNON, P. J., Erlich, H. A., Julier, C., Morahan, G., Nierras, C. R., Todd, J. A., Rich, S. S., & Nerup, J. (2010) · Diabetes · doi:10.2337/db10-0076 · Cited by 301 · see citing works
Self-citationJia, P., Zheng, S., Long, J., Zheng, W., & Zhao, Z. (2010) · Bioinformatics · doi:10.1093/bioinformatics/btq615 · Cited by 281 · see citing works
Dendrou, C. A., Plagnol, V., Fung, E., Yang, J. H. M., Downes, K., Cooper, J. D., Nutland, S., Coleman, G., Himsworth, M., Hardy, M., et al. (2009) · Nature Genetics · doi:10.1038/ng.434 · Cited by 274 · see citing works
Al‐Shahrour, F., Mínguez, P., Tárraga, J., Medina, I., Alloza, E., Montaner, D. A., & Dopazo, J. (2007) · Nucleic Acids Research · doi:10.1093/nar/gkm260 · Cited by 258 · see citing works
Prediction and Interaction in Complex Disease Genetics: Experience in Type 1 Diabetes
Clayton, D. G. (2009) · PLoS Genetics · doi:10.1371/journal.pgen.1000540 · Cited by 252 · see citing works
Integrating Pathway Analysis and Genetics of Gene Expression for Genome-wide Association Studies
Zhong, H., Yang, X., Kaplan, L. M., Molony, C. M., & Schadt, E. E. (2010) · The American Journal of Human Genetics · doi:10.1016/j.ajhg.2010.02.020 · Cited by 234 · see citing works
Understanding type 1 diabetes through genetics: advances and prospects
Polychronakos, C., & Li, Q. (2011) · Nature Reviews Genetics · doi:10.1038/nrg3069 · Cited by 226 · see citing works
Cytokines and β-Cell Biology: from Concept to Clinical Translation
Donath, M. Y., Størling, J., Berchtold, L. A., Billestrup, N., & Mandrup-Poulsen, T. R. (2007) · Endocrine Reviews · doi:10.1210/er.2007-0033 · Cited by 219 · see citing works
Self-citationCD83 Expression Influences CD4+ T Cell Development in the Thymus
Fujimoto, Y., Tu, L., Miller, A. S., Bock, C. B., Fujimoto, M., Doyle, C., Steeber, D. A., & Tedder, T. F. (2002) · Cell · doi:10.1016/s0092-8674(02)00673-6 · Cited by 218 · see citing works
Arif, S., Moore, F., Marks, K., Bouckenooghe, T., Dayan, C. M., Planas, R., Vives‐Pi, M., Powrie, J., Tree, T. I. M., Marchetti, P., et al. (2011) · Diabetes · doi:10.2337/db10-1643 · Cited by 213 · see citing works
CXCL10 Impairs β Cell Function and Viability in Diabetes through TLR4 Signaling
Schulthess, F. T., Paroni, F., Sauter, N. S., Shu, L., Ribaux, P., Haataja, L., Strieter, R. M., Oberholzer, J., King, C. C., & Maedler, K. (2009) · Cell Metabolism · doi:10.1016/j.cmet.2009.01.003 · Cited by 209 · see citing works
Nerup, J., Mandrap-Poulsen, T., Helqvist, S., Andersen, H. U., Pociot, F., Reimers, J. I., Cuartero, B. G., Karlsen, A. E., Christensen, U. B., & Lorenzen, T. (1994) · Diabetologia · doi:10.1007/bf00400830 · Cited by 182 · see citing works
Self-citationRegulation of T cell activation and tolerance by PDL2
Zhang, Y., Chung, Y., Bishop, C., Daugherty, B., Chute, H. T., Holst, P. L., Kurahara, C., Lott, F. D., Sun, N., Welcher, A. A., et al. (2006) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0601347103 · Cited by 159 · see citing works
Improved precision and accuracy for microarrays using updated probe set definitions
Sandberg, R., & Larsson, O. S. (2007) · BMC Bioinformatics · doi:10.1186/1471-2105-8-48 · Cited by 155 · see citing works
An Integrative -omics Approach to Identify Functional Sub-Networks in Human Colorectal Cancer
Nibbe, R. K., Koyutürk, M., & Chance, M. R. (2010) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1000639 · Cited by 153 · see citing works
Caraux, A., Kim, N., Bell, S. E., Zompi, S., Ranson, T., Lesjean-Pottier, S., Garcia-Ojeda, M. E., Turner, M., & Colucci, F. (2006) · Blood · doi:10.1182/blood-2005-06-2428 · Cited by 142 · see citing works
Generalized multi‐organ autoimmunity in CCR7‐deficient mice
Davalos‐Misslitz, A. C. M., Rieckenberg, J., Willenzon, S., Worbs, T., Kremmer, E., Bernhardt, G., & Förster, R. (2007) · European Journal of Immunology · doi:10.1002/eji.200636656 · Cited by 121 · see citing works
Synergistic Reversal of Type 1 Diabetes in NOD Mice With Anti-CD3 and Interleukin-1 Blockade
Ablamunits, V. G., Henegariu, O., Hansen, J. B., Opare-Addo, L., Preston‐Hurlburt, P., Santamaría, P., Mandrup-Poulsen, T. R., & Herold, K. C. (2011) · Diabetes · doi:10.2337/db11-1033 · Cited by 107 · see citing works
Systemic Administration of IL-18 Promotes Diabetes Development in Young Nonobese Diabetic Mice
Oikawa, Y., Shimada, A., Kasuga, A., Morimoto, J., Osaki, T., Tahara, H., Miyazaki, T., Tashiro, F., Yamato, E., Miyazaki, J., et al. (2003) · The Journal of Immunology · doi:10.4049/jimmunol.171.11.5865 · Cited by 84 · see citing works
Burren, O. S., Adlem, E., Achuthan, P., Christensen, M. B., Coulson, R., & Todd, J. A. (2010) · Nucleic Acids Research · doi:10.1093/nar/gkq912 · Cited by 79 · see citing works
Islet Cytotoxicity of Interleukin 1: Influence of Culture Conditions and Islet Donor Characteristics
Mandrup-Poulsen, T. R., Spinas, G. A., Prowse, S. J., Hansen, B. S., Jørgensen, D. W., Bendtzen, K., Nielsen, J. H., & Nerup, J. (1987) · Diabetes · doi:10.2337/diab.36.5.641 · Cited by 71 · see citing works
Xu, G. G., Gao, Z., Borge, P. D., Jegier, P., Young, R., & Wolf, B. A. (2000) · Biochemistry · doi:10.1021/bi001260w · Cited by 66 · see citing works
CCR7 Deficiency in NOD Mice Leads to Thyroiditis and Primary Hypothyroidism
Martin, A. P., Marinković, T., Canasto‐Chibuque, C., Latif, R., Unkeless, J. C., Davies, T. F., Takahama, Y., Furtado, G. C., & Lira, S. A. (2009) · The Journal of Immunology · doi:10.4049/jimmunol.0900275 · Cited by 44 · see citing works
Lack of the mediators of innate immunity attenuate the development of autoimmune diabetes in mice
Lukić, M. L., Mensah‐Brown, E. P. K., Wei, X., Shahin, A., & Liew, F. Y. (2003) · Journal of Autoimmunity · doi:10.1016/s0896-8411(03)00115-x · Cited by 31 · see citing works
Brorsson, C., Hansen, N. T., Bergholdt, R., Brunak, S., & Pociot, F. (2010) · PLoS ONE · doi:10.1371/journal.pone.0009576 · Cited by 24 · see citing works
Self-citationNew Members of the Interleukin‐12 Family of Cytokines: IL‐23 and IL‐27 Modulate Autoimmune Diabetes
Mensah‐Brown, E. P. K., Shahin, A., Alshamsi, M. A., & Lukić, M. L. (2006) · Annals of the New York Academy of Sciences · doi:10.1196/annals.1375.024 · Cited by 17 · see citing works
Expression Profiling of Human Genetic and Protein Interaction Networks in Type 1 Diabetes
Bergholdt, R., Brorsson, C., Lage, K., Nielsen, J. H., Brunak, S., & Pociot, F. (2009) · PLoS ONE · doi:10.1371/journal.pone.0006250 · Cited by 14 · see citing works
Self-citationBergholdt, R., Karlsen, A. E., Hagedorn, P., Aalund, M., Nielsen, J. H., Kruhøffer, M., Orntoft, T. F., Wang, H., Wollheim, C. B., Nerup, J., et al. (2007) · Genes and Immunity · doi:10.1038/sj.gene.6364379 · Cited by 7 · see citing works
Self-citationBergholdt, R. (2009) · PubMed · Cited by 4 · see citing works
Self-citation
Flagged first, then by citations
1 of the 51 references couldn’t be matched to a known paper.
Cited by
Sorted by citations
Generation of stem cell-derived β-cells from patients with type 1 diabetes
Millman, J., Xie, C.-H., VanDervort, A. V., Gürtler, M., Pagliuca, F., & Melton, D. (2016) · Nature Communications · doi:10.1038/ncomms11463 · Cited by 375 · see citing works
Blodgett, D. M., Nowosielska, A., Afik, S., Pechhold, S., Cura, A. J., Kennedy, N. J., Kim, S., Kucukural, A., Davis, R. J., Kent, S. C., et al. (2015) · Diabetes · doi:10.2337/db15-0039 · Cited by 330 · see citing works
Viral infections in type 1 diabetes mellitus — why the β cells?
Op de Beeck, A., & Eizirik, D. L. (2016) · Nature Reviews Endocrinology · doi:10.1038/nrendo.2016.30 · Cited by 291 · see citing works
The importance of the Non Obese Diabetic (NOD) mouse model in autoimmune diabetes
Pearson, J. A., Wong, F. S., & Li, W. (2015) · Journal of Autoimmunity · doi:10.1016/j.jaut.2015.08.019 · Cited by 300 · see citing works
Th17 Cells in Immunity and Autoimmunity
Bedoya, S. K., Lam, B. K., Lau, K., & Larkin, J. (2013) · Clinical and Developmental Immunology · doi:10.1155/2013/986789 · Cited by 278 · see citing works
Protein-protein interaction networks (PPI) and complex diseases.
Safari‐Alighiarloo, N., Taghizadeh, M., Rezaei–Tavirani, M., Goliaei, B., & Peyvandi, A. A. (2014) · Gastroenterology and hepatology from bed to bench. · Cited by 265 · see citing works
Quattrin, T., Mastrandrea, L. D., & Walker, L. S. K. (2023) · The Lancet · doi:10.1016/s0140-6736(23)00223-4 · Cited by 261 · see citing works
Early prediction of autoimmune (type 1) diabetes.
Regnell, S. E., & Lernmark, Å. (2017) · Diabetologia · doi:10.1007/s00125-017-4308-1 · Cited by 195 · see citing works
Nogueira, T. C., de Paula, F. M. M., Villate, O., Colli, M. L., de Moura, R. F., Cunha, D. A., Marselli, L., Marchetti, P., Cnop, M., Julier, C., et al. (2013) · PLoS Genetics · doi:10.1371/journal.pgen.1003532 · Cited by 178 · see citing works
Genetics of diabetes – Are we missing the genes or the disease?
Groop, L., & Pociot, F. (2013) · Molecular and Cellular Endocrinology · doi:10.1016/j.mce.2013.04.002 · Cited by 158 · see citing works
Self-citationCandidate genes for type 1 diabetes modulate pancreatic islet inflammation and β ‐cell apoptosis
Santín, I., & Eizirik, D. L. (2013) · Diabetes Obesity and Metabolism · doi:10.1111/dom.12162 · Cited by 140 · see citing works
Genotype to phenotype via network analysis
Carter, H., Hofree, M., & Ideker, T. (2013) · Current Opinion in Genetics & Development · doi:10.1016/j.gde.2013.10.003 · Cited by 132 · see citing works
Protein–protein interactions and genetic diseases: The interactome
Lage, K. (2014) · Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease · doi:10.1016/j.bbadis.2014.05.028 · Cited by 124 · see citing works
Marroquí, L., dos Santos, R. S., Fløyel, T., Grieco, F. A., Santín, I., Beeck, A. O. D., Marselli, L., Marchetti, P., Pociot, F., & Eizirik, D. L. (2015) · Diabetes · doi:10.2337/db15-0362 · Cited by 121 · see citing works
Self-citationThe role of PLCγ2 in immunological disorders, cancer, and neurodegeneration
Jackson, J. T., Mulazzani, E., Nutt, S. L., & Masters, S. L. (2021) · Journal of Biological Chemistry · doi:10.1016/j.jbc.2021.100905 · Cited by 113 · see citing works
“Common genetic variants in PLCG2 also link the enzyme to type 1 diabetes (119) and venous thromboembolism (120), which could have a shared autoimmune etiology.”
BackgroundMarroquí, L., Santín, I., dos Santos, R. S., Marselli, L., Marchetti, P., & Eizirik, D. L. (2014) · Diabetes · doi:10.2337/db13-1443 · Cited by 113 · see citing works
Cytokines and Pancreatic β-Cell Apoptosis
Berchtold, L. A., Prause, M. C. B., Størling, J., & Mandrup-Poulsen, T. R. (2016) · Advances in clinical chemistry · doi:10.1016/bs.acc.2016.02.001 · Cited by 102 · see citing works
Self-citationFløyel, T., Brorsson, C., Nielsen, L. B., Miani, M., Bang-Berthelsen, C. H., Friedrichsen, M., Overgaard, A. J., Berchtold, L. A., Wiberg, A., Poulsen, P., et al. (2014) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1402571111 · Cited by 104 · see citing works
Self-citationType 1 Diabetes Candidate Genes Linked to Pancreatic Islet Cell Inflammation and Beta-Cell Apoptosis
Størling, J., & Pociot, F. (2017) · Genes · doi:10.3390/genes8020072 · Cited by 101 · see citing works
Self-citationGenetic Study of Complex Diseases in the Post-GWAS Era
Huang, Q. (2015) · Journal of genetics and genomics/Journal of Genetics and Genomics · doi:10.1016/j.jgg.2015.02.001 · Cited by 97 · see citing works
Type 1 diabetes genome‐wide association studies: not to be lost in translation
Pociot, F. (2017) · Clinical & Translational Immunology · doi:10.1038/cti.2017.51 · Cited by 95 · see citing works
Self-citationZhao, N., Han, J. G., Shyu, C., & Korkin, D. (2014) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1003592 · Cited by 79 · see citing works
The genetic architecture of type 1 diabetes mellitus
Nyaga, D. M., Vickers, M. H., Jefferies, C., Perry, J. K., & O'Sullivan, J. M. (2018) · Molecular and Cellular Endocrinology · doi:10.1016/j.mce.2018.06.002 · Cited by 79 · see citing works
The Genetic Architecture of Type 1 Diabetes
Jerram, S. T., & Leslie, R. D. (2017) · Genes · doi:10.3390/genes8080209 · Cited by 72 · see citing works
Pathogenesis of type 1 diabetes: lessons from natural history studies of high‐risk individuals
Nokoff, N., & Rewers, M. (2013) · Annals of the New York Academy of Sciences · doi:10.1111/nyas.12021 · Cited by 66 · see citing works
Systems Biology Approach Reveals Genome to Phenome Correlation in Type 2 Diabetes
Jain, P., Vig, S., Datta, M., Jindel, D., Mathur, A. K., Mathur, S. K., & Sharma, A. (2013) · PLoS ONE · doi:10.1371/journal.pone.0053522 · Cited by 67 · see citing works
The pancreatic β cell and type 1 diabetes: innocent bystander or active participant?
Soleimanpour, S. A., & Stoffers, D. A. (2013) · Trends in Endocrinology and Metabolism · doi:10.1016/j.tem.2013.03.005 · Cited by 60 · see citing works
IL-17A increases the expression of proinflammatory chemokines in human pancreatic islets
Grieco, F. A., Moore, F., Vigneron, F., Santín, I., Villate, O., Marselli, L., Rondas, D., Korf, H., Overbergh, L., Dotta, F., et al. (2013) · Diabetologia · doi:10.1007/s00125-013-3135-2 · Cited by 61 · see citing works
Role of vitamin D in acquired immune and autoimmune diseases
DELVIN, E. E., Souberbielle, J., Viard, J., & Salle, B. (2014) · Critical Reviews in Clinical Laboratory Sciences · doi:10.3109/10408363.2014.901291 · Cited by 60 · see citing works
MECHANISMS IN ENDOCRINOLOGY: Alternative splicing: the new frontier in diabetes research
Juan‐Mateu, J., Villate, O., & Eizirik, D. L. (2016) · European Journal of Endocrinology · doi:10.1530/eje-15-0916 · Cited by 58 · see citing works
Interleukin-27 Is Essential for Type 1 Diabetes Development and Sjögren Syndrome-like Inflammation
Ciecko, A. E., Foda, B. M., Barr, J. Y., Ramanathan, S., Atkinson, M., Serreze, D., Geurts, A., Lieberman, S., & Chen, Y.-G. (2019) · Cell Reports · doi:10.1016/j.celrep.2019.11.010 · Cited by 54 · see citing works
Safari‐Alighiarloo, N., Taghizadeh, M. T., Tabatabaei, S. M., Shahsavari, S., Namaki, S., Khodakarim, S., & Rezaei–Tavirani, M. (2016) · Journal of Diabetes · doi:10.1111/1753-0407.12483 · Cited by 54 · see citing works
Abnormalities in alternative splicing in diabetes: therapeutic targets
Dlamini, Z., Mokoena, F., & Hull, R. (2017) · Journal of Molecular Endocrinology · doi:10.1530/jme-17-0049 · Cited by 54 · see citing works
Lopes, M., Kutlu, B., Miani, M., Bang‐Berthelsen, C. H., Størling, J., Pociot, F., Goodman, N., Hood, L., Welsh, N., Bontempi, G., et al. (2014) · Genomics · doi:10.1016/j.ygeno.2013.12.007 · Cited by 52 · see citing works
Self-citationCathepsin H: Molecular characteristics and clues to function and mechanism
Wang, Y., Zhao, J., Gu, Y., Wang, H., Jiang, M., Zhao, S., Qing, H., & Ni, J. (2023) · Biochemical Pharmacology · doi:10.1016/j.bcp.2023.115585 · Cited by 52 · see citing works
Genes Affecting β-Cell Function in Type 1 Diabetes
Fløyel, T., Kaur, S., & Pociot, F. (2015) · Current Diabetes Reports · doi:10.1007/s11892-015-0655-9 · Cited by 51 · see citing works
Self-citationDeciphering early development of complex diseases by progressive module network
Zeng, T., Zhang, C.-C., Zhang, W., Liu, R., Liu, J., & Chen, L. (2014) · Methods · doi:10.1016/j.ymeth.2014.01.021 · Cited by 46 · see citing works
Advances in Knowledge of Candidate Genes Acting at the Beta-Cell Level in the Pathogenesis of T1DM
Pang, H., Luo, S., Huang, G., Xia, Y., Xie, Z., & Zhou, Z. (2020) · Frontiers in Endocrinology · doi:10.3389/fendo.2020.00119 · Cited by 46 · see citing works
The long non-coding RNA βFaar regulates islet β-cell function and survival during obesity in mice
Zhang, F., Yang, Y., Chen, X., Liu, Y., Hu, Q., Huang, B., Liu, Y., Pan, Y., Zhang, Y., Liu, D., et al. (2021) · Nature Communications · doi:10.1038/s41467-021-24302-6 · Cited by 44 · see citing works
CIKS (Act1 or TRAF3IP2) mediates high glucose-induced endothelial dysfunction
Venkatesan, B. A., Valente, A. J., Das, N. A., Carpenter, A. J., Yoshida, T., Delafontaine, J.-L., Siebenlist, U. K., & Chandrasekar, B. (2012) · Cellular Signalling · doi:10.1016/j.cellsig.2012.10.009 · Cited by 43 · see citing works
Perspectives on Systems Biology Applications in Diabetic Kidney Disease
Komorowsky, C. V., Brosius, F. C., Pennathur, S., & Kretzler, M. (2012) · Journal of Cardiovascular Translational Research · doi:10.1007/s12265-012-9382-7 · Cited by 40 · see citing works
Muhammad, S. A., Raza, W., Nguyen, T. M., Bai, B., Wu, X., & Chen, J. Y. (2017) · Frontiers in Physiology · doi:10.3389/fphys.2017.00013 · Cited by 39 · see citing works
Modeling different types of diabetes using human pluripotent stem cells
Abdelalim, E. M. (2020) · Cellular and Molecular Life Sciences · doi:10.1007/s00018-020-03710-9 · Cited by 38 · see citing works
Eisenbarth, G. S., & Buse, J. B. (2011) · Elsevier eBooks · doi:10.1016/b978-1-4377-0324-5.00032-8 · Cited by 39 · see citing works
Giri, K. R., de Beaurepaire, L., Jégou, D., Lavy, M., Mosser, M., Dupont, A., Fleurisson, R., Dubreil, L., Collot, M., Endert, P. V., et al. (2020) · Frontiers in Immunology · doi:10.3389/fimmu.2020.01814 · Cited by 38 · see citing works
Ubiquitin-proteasome system in diabetic retinopathy
Svikle, Z., Pēterfelde, B., Sjakste, N., Baumane, K., Verkauskienė, R., Jeng, C., & Sokolovska, J. (2022) · PeerJ · doi:10.7717/peerj.13715 · Cited by 36 · see citing works
Precision medicine — networks to the rescue
Yadav, A., Vidal, M., & Luck, K. (2020) · Current Opinion in Biotechnology · doi:10.1016/j.copbio.2020.02.005 · Cited by 36 · see citing works
Fukaya, M., Brorsson, C., Meyerovich, K., Catrysse, L., Delaroche, D., Vanzela, E. C., Ortis, F., Beyaert, R., Nielsen, L. B., Andersen, M. L. M., et al. (2015) · Molecular Endocrinology · doi:10.1210/me.2015-1176 · Cited by 34 · see citing works
Self-citationIdentification of potential markers for type 2 diabetes mellitus via bioinformatics analysis
Lu, Y., Li, Y., Li, G., & Lu, H. (2020) · Molecular Medicine Reports · doi:10.3892/mmr.2020.11281 · Cited by 34 · see citing works
Alagpulinsa, D. A., Cao, J. J. L., Sobell, D., & Poznansky, M. C. (2018) · Pharmacology & Therapeutics · doi:10.1016/j.pharmthera.2018.08.011 · Cited by 33 · see citing works
Expression Pattern of microRNAs, miR-21, miR-155 and miR-338 in Patients with Type 1 Diabetes
Mostahfezian, M., Azhir, Z., Dehghanian, F., & Hojati, Z. (2019) · Archives of Medical Research · doi:10.1016/j.arcmed.2019.07.002 · Cited by 33 · see citing works
Xiang, Q., Chen, L., Hou, S., Fang, J., Zhou, Y. N., Bai, L., Liu, Y., Kijlstra, A., & Yang, P. (2014) · PLoS ONE · doi:10.1371/journal.pone.0084214 · Cited by 32 · see citing works
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 32 · see citing works
Alcazar, O., Hernandez, L. F., Nakayasu, E. S., Nicora, C., Ansong, C. K., Muehlbauer, M. J., Bain, J. R., Myer, C., Bhattacharya, S. K., Buchwald, P., et al. (2021) · Biomolecules · doi:10.3390/biom11030383 · Cited by 31 · see citing works
Lambert, S., Swindell, W. R., Tsoi, L. C., Stoll, S. W., & Elder, J. T. (2017) · Journal of Investigative Dermatology · doi:10.1016/j.jid.2016.12.032 · Cited by 30 · see citing works
Stolp, J., Mariño, E., Batten, M., Sierro, F., Cox, S. L., Grey, S. T., & Silveira, P. A. (2013) · The Journal of Immunology · doi:10.4049/jimmunol.1203252 · Cited by 28 · see citing works
Ciecko, A. E., Schauder, D., Foda, B. M., Петрова, Г. В., Kasmani, M. Y., Burns, R., Lin, C., Drobyski, W. R., Cui, W., & Chen, Y. (2021) · The Journal of Immunology · doi:10.4049/jimmunol.2100362 · Cited by 28 · see citing works
Candidate Genes Expressed in Human Islets and Their Role in the Pathogenesis of Type 1 Diabetes
Størling, J., & Brorsson, C. (2013) · Current Diabetes Reports · doi:10.1007/s11892-013-0408-6 · Cited by 25 · see citing works
Self-citationThe β-Cell Genomic Landscape in T1D: Implications for Disease Pathogenesis
Ramos-Rodríguez, M., Pérez-González, B., & Pasquali, L. (2021) · Current Diabetes Reports · doi:10.1007/s11892-020-01370-4 · Cited by 25 · see citing works
Systems-level differential gene expression analysis reveals new genetic variants of oral cancer
Abbas, S. Z., Qadir, M. I., & Muhammad, S. A. (2020) · Scientific Reports · doi:10.1038/s41598-020-71346-7 · Cited by 24 · see citing works
Tavares, N. A. C., Santos, M. M. S., de Moura, R. R., Araújo, J., Guimarães, R. L., Crovella, S., & Brandão, L. A. C. (2015) · Genetics and Molecular Research · doi:10.4238/2015.december.28.42 · Cited by 24 · see citing works
Scott, F. W., Pound, L. D., Patrick, C., Eberhard, C. E., & Crookshank, J. A. (2016) · Translational research · doi:10.1016/j.trsl.2016.09.001 · Cited by 24 · see citing works
TRAF3IP2, a novel therapeutic target in glioblastoma multiforme
Alt, E., Barabadi, Z., Pfnür, A., Ochoa, J. E., Daneshimehr, F., Lang, L. M., Lin, D., Braun, S. E., Chandrasekar, B., & Izadpanah, R. (2018) · Oncotarget · doi:10.18632/oncotarget.25710 · Cited by 24 · see citing works
Berchtold, L. A., Miani, M., Diep, T. A., Madsen, A. N., Cigliola, V., Colli, M. L., Krivokapic, J. M., Pociot, F., Eizirik, D. L., Meda, P., et al. (2017) · Molecular and Cellular Endocrinology · doi:10.1016/j.mce.2017.04.001 · Cited by 23 · see citing works
Self-citationSantín, I., dos Santos, R. S., & Eizirik, D. L. (2015) · Methods in molecular biology · doi:10.1007/7651_2015_291 · Cited by 20 · see citing works
Andersen, M. L. M., Rasmussen, M. A., Pörksen, S., Svensson, J., Vikre-Jørgensen, J., Thomsen, J. F., Hertel, N. T., Johannesen, J., Pociot, F., Petersen, J. S., et al. (2013) · PLoS ONE · doi:10.1371/journal.pone.0064632 · Cited by 21 · see citing works
Self-citationEizirik, D. L., & Grieco, F. A. (2012) · Diabetes · doi:10.2337/db12-0397 · Cited by 21 · see citing works
Brorsson, C., Nielsen, L. B., Andersen, M. L. M., Kaur, S., Bergholdt, R., Hansen, L. B., Mortensen, H. B., Pociot, F., Størling, J., & Hvidoere Study Group on Childhood Diabetes (2016) · Journal of Diabetes Research · doi:10.1155/2016/9570424 · Cited by 20 · see citing works
Self-citationAnalyzing of Molecular Networks for Human Diseases and Drug Discovery
Hao, T., Wang, Q., Zhao, L., Wu, D., Wang, E., & Sun, J. (2018) · Current Topics in Medicinal Chemistry · doi:10.2174/1568026618666180813143408 · Cited by 20 · see citing works
Loss of MafA and MafB expression promotes islet inflammation
Singh, T., Colberg, J. K., Sarmiento, L., Cháves, P., Hansen, L., Bsharat, S., Cataldo, L. R., Dudenhöffer‐Pfeifer, M., Fex, M., Bryder, D., et al. (2019) · Scientific Reports · doi:10.1038/s41598-019-45528-x · Cited by 21 · see citing works
CXCR3, CXCR5, CXCR6, and CXCR7 in Diabetes
Fallahi, P., Corrado, A., Domenicantonio, A. D., Frenzilli, G., Antonelli, A., & Ferrari, S. M. (2016) · Current Drug Targets · doi:10.2174/1389450115666141229153949 · Cited by 19 · see citing works
Fløyel, T., Mirza, A. H., Kaur, S., Frørup, C., Yarani, R., Størling, J., & Pociot, F. (2020) · Molecular and Cellular Endocrinology · doi:10.1016/j.mce.2020.110993 · Cited by 18 · see citing works
Self-citationJahromi, M., & Al‐Ozairi, E. (2019) · Disease Markers · doi:10.1155/2019/9786078 · Cited by 18 · see citing works
Afiqah‐Aleng, N., Altaf‐Ul‐Amin, M., Kanaya, S., & Mohamed‐Hussein, Z. (2019) · Reproductive BioMedicine Online · doi:10.1016/j.rbmo.2019.11.012 · Cited by 16 · see citing works
Inflammatory Cytokines Rewire the Proinsulin Interaction Network in Human Islets
Tran, D. T., Pottekat, A., Lee, K., Raghunathan, M., Loguercio, S., Mir, S. A., Paton, A. W., Paton, J. C., Arvan, P. R., Kaufman, R. J., et al. (2022) · The Journal of Clinical Endocrinology & Metabolism · doi:10.1210/clinem/dgac493 · Cited by 16 · see citing works
Toward Precision Medicine with Human Pluripotent Stem Cells for Diabetes
Memon, B., & Abdelalim, E. M. (2022) · Stem Cells Translational Medicine · doi:10.1093/stcltm/szac030 · Cited by 14 · see citing works
Yafei, Z. A., Mack, S. J., Alvares, M. S., Ali, B. R., Afandi, B. O., Beshyah, S., Sharma, C., Osman, W. M., Mirghani, R. A., Nasr, A., et al. (2022) · Frontiers in Genetics · doi:10.3389/fgene.2022.841879 · Cited by 14 · see citing works
Genome-wide Meta-analysis Reveals New Gene Signatures and Potential Drug Targets of Hypertension
Ali, F., Khan, A., Muhammad, S. A., Abbas, S. Q., Hassan, S. S. U., & BUNGAU, S. G. (2022) · ACS Omega · doi:10.1021/acsomega.2c02277 · Cited by 13 · see citing works
Perry, D. J., Peters, L. D., Lakshmi, P. S., Zhang, L., Han, Z., Wasserfall, C. H., Mathews, C. E., Atkinson, M. A., & Brusko, T. M. (2021) · The Journal of Immunology · doi:10.4049/jimmunol.2000708 · Cited by 13 · see citing works
Tenenbaum, M., Bonnefond, A., Froguel, P., & Abderrahmani, A. (2018) · Revue Francophone des Laboratoires · doi:10.1016/s1773-035x(18)30145-x · Cited by 13 · see citing works
Haider, M. Z., Rasoul, M. A., Al-Mahdi, M., Alkandari, H., & Dhaunsi, G. S. (2018) · PLoS ONE · doi:10.1371/journal.pone.0198652 · Cited by 13 · see citing works
Interleukin-27 and Autoimmune Disorders: A Compressive Review of Immunological Functions
Yazdanpanah, E., Pazoki, A., Dadfar, S., Nemati, M. H., Siadati, S. M. S., Tarahomi, M., Orooji, N., Haghmorad, D., & Oksenych, V. (2024) · Biomolecules · doi:10.3390/biom14121489 · Cited by 13 · see citing works
The rs2304256 Polymorphism in TYK2 Gene Is Associated with Protection for Type 1 Diabetes Mellitus
Pellenz, F. M., Dieter, C., Duarte, G. C. K., Canani, L. H. S., de Souza, B. M., & Crispim, D. (2021) · Diabetes & Metabolism Journal · doi:10.4093/dmj.2020.0194 · Cited by 12 · see citing works
Wagner, D. H. (2016) · Clinical & Experimental Immunology · doi:10.1111/cei.12819 · Cited by 12 · see citing works
Elucidate multidimensionality of type 1 diabetes mellitus heterogeneity by multifaceted information
Chen, S.-J., Cheng, J.-L., Lee, S.-A., Wang, T.-Y., Jang, J.-Y., & Chen, K.-C. (2021) · Scientific Reports · doi:10.1038/s41598-021-00388-2 · Cited by 10 · see citing works
Translational implications of the β-cell epigenome in diabetes mellitus
Johnson, J. S., & Evans‐Molina, C. (2014) · Translational research · doi:10.1016/j.trsl.2014.03.002 · Cited by 10 · see citing works
Effects of the genome on immune regulation in type 1 diabetes
Pociot, F., Kaur, S., & Nielsen, L. B. (2016) · Pediatric Diabetes · doi:10.1111/pedi.12336 · Cited by 10 · see citing works
Self-citationStatistical Association Mapping of Population-Structured Genetic Data
Najafi, A., Janghorbani, S., Motahari, S. A., & Fatemizadeh, E. (2017) · IEEE Transactions on Computational Biology and Bioinformatics · doi:10.1109/tcbb.2017.2786239 · Cited by 9 · see citing works
Asymptotic FDR control under weak dependence: A counterexample
Gontscharuk, V., & Finner, H. (2013) · Statistics & Probability Letters · doi:10.1016/j.spl.2013.04.025 · Cited by 8 · see citing works
Cheng, G., Chung, B., Chan, E. K.-W., So, M.-T., Sham, P. C., Cherny, S. S., Tam, P. K. H., & García-Barceló, M.-M. (2017) · BMC Medical Genomics · doi:10.1186/s12920-017-0259-0 · Cited by 8 · see citing works
In silico analysis reveals interrelation of enriched pathways and genes in type 1 diabetes
Sur, S. (2020) · Immunogenetics · doi:10.1007/s00251-020-01177-3 · Cited by 7 · see citing works
Šedová, L., Pravenec, M., Krenová, D., Kazdová, L., Zı́dek, V., Krupková, M., Liška, F., Křen, V., & Šeda, O. (2016) · PLoS ONE · doi:10.1371/journal.pone.0152708 · Cited by 7 · see citing works
Cantley, J., Eizirik, D. L., Latres, E., Dayan, C. M., & _, _. (2023) · Journal of Endocrinology · doi:10.1530/joe-23-0082 · Cited by 8 · see citing works
Identifying the ‘Achilles heel’ of type 1 diabetes
Battaglia, M., Buckner, J. H., Levings, M. K., Richardson, S. J., Wong, F. S., & Tree, T. I. M. (2020) · Clinical & Experimental Immunology · doi:10.1111/cei.13570 · Cited by 6 · see citing works
Giri, K. R., de Beaurepaire, L., Jégou, D., Lavy, M., Mosser, M., Dupont, A., Fleurisson, R., Dubreil, L., Collot, M., Endert, P. V., et al. (2020) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2020.03.26.003145 · Cited by 5 · see citing works
Veronese-Paniagua, D., & Millman, J. R. (2025) · Frontiers in Endocrinology · doi:10.3389/fendo.2025.1734431 · Cited by 5 · see citing works
Incorporation of protein binding effects into likelihood ratio test for exome sequencing data
Zhang, D., Cui, H., Korkin, D., & Wu, Z. (2016) · BMC Proceedings · doi:10.1186/s12919-016-0043-8 · Cited by 4 · see citing works
Computational Systems Analysis on Polycystic Ovarian Syndrome (PCOS)
Afiqah‐Aleng, N., & Mohamed‐Hussein, Z. (2020) · IntechOpen eBooks · doi:10.5772/intechopen.89490 · Cited by 4 · see citing works
Genetics of Diabetes and Diabetic Complications
Prasad, R. B., Ahlqvist, E., & Groop, L. (2018) · Endocrinology · doi:10.1007/978-3-319-45015-5_6 · Cited by 4 · see citing works
Recent Expeditious Growth of Type 1 Diabetes in the Gulf Arab CountriesPreprint
Jahromi, M., Sheikh, M. A., & Tuomilehto, J. (2021) · Preprints.org · doi:10.20944/preprints202108.0283.v1 · Cited by 4 · see citing works
- Authors
- Bergholdt, R., Brorsson, C., Palleja, A., Berchtold, L. A., Fløyel, T., Bang-Berthelsen, C. H., Frederiksen, K. S., Jensen, L. J., Størling, J., & Pociot, F.
- Affiliations
- Hagedorn Research Institute, Gentofte, Denmark
- Glostrup Hospital (DK)
- Novo Nordisk Foundation Center for Protein Research, University of Copenhagen, Copenhagen, Denmark
- Glostrup Research Institute, Glostrup University Hospital, Glostrup, Denmark
- Novo Nordisk (Denmark) (DK)
- University of Copenhagen (DK)
- Lund University (SE)
- Corresponding author
- Pociot, Flemming
- ORCID
- Venue
- Diabetes
- Publisher
- American Diabetes Association
- Published
- 2012-03-14
- Volume
- 61
- Issue
- 4
- Pages
- 954-962
- ISSN
- 0012-1797 (ISSN-L)
- 1939-327X
- PMC
- PMC3314366
- OpenAlex
- W2156167884
- Cited by
- 125
- References
- 51
- Citations by year
- 2026: 3 · 2025: 2 · 2024: 4 · 2023: 3 · 2022: 12 · 2021: 10 · 2020: 12 · 2019: 6 · 2018: 9 · 2017: 13 · 2016: 12 · 2015: 9 · 2014: 11 · 2013: 14 · 2012: 4
- FWCI
- 7.32
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- Diabetes (publishedVersion, cc-by-nc-nd)
- Europe PMC (PubMed Central) (publishedVersion, cc-by-nc-nd)
- PubMed Central (publishedVersion, cc-by-nc-nd)
- PubMed (publishedVersion)
- Research at the University of Copenhagen (University of Copenhagen) (submittedVersion)
- Funders
- Novo Nordisk Fonden
- National Institutes of Health
- National Institute of Allergy and Infectious Diseases
- National Institute of Diabetes and Digestive and Kidney Diseases (U01DK062418, DP3DK085678)
- National Institute of Child Health and Human Development
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Diabetes and associated disorders
- Health Sciences › Medicine › Surgery › Pancreatic function and diabetes
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genetic Associations and Epidemiology
- Keywords
- type 1 diabetes, candidate genes, genetic susceptibility loci, protein-protein interaction network, pancreatic islets, inflammatory cytokines, gene expression profiling, single nucleotide polymorphisms, CD83, IFNGR1, TRAF3IP2, PLCγ2, MYO1B, CXCR7
- MeSH terms
- Diabetes Mellitus, Type 1, Gene Expression Regulation, Humans, Islets of Langerhans, Genome, Human, Gene Expression Profiling, 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