The DOI matches its Crossref record; 25 of the 25 references it cites were found in a registry or an index.
Rare Variants of IFIH1 , a Gene Implicated in Antiviral Responses, Protect Against Type 1 Diabetes
Open accessAbstract
Genome-wide association studies (GWASs) are regularly used to map genomic regions contributing to common human diseases, but they often do not identify the precise causative genes and sequence variants. To identify causative type 1 diabetes (T1D) variants, we resequenced exons and splice sites of 10 candidate genes in pools of DNA from 480 patients and 480 controls and tested their disease association in over 30,000 participants. We discovered four rare variants that lowered T1D risk independently of each other (odds ratio = 0.51 to 0.74; P = 1.3 × 10 –3 to 2.1 × 10 –16 ) in IFIH1 ( interferon induced with helicase C domain 1 ), a gene located in a region previously associated with T1D by GWASs. These variants are predicted to alter the expression and structure of IFIH1 [MDA5 (melanoma differentiation-associated protein 5)], a cytoplasmic helicase that mediates induction of interferon response to viral RNA. This finding firmly establishes the role of IFIH1 in T1D and demonstrates that resequencing studies can pinpoint disease-causing genes in genomic regions initially identified by GWASs.
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?
In the citing paper
“only 1 of 63 genes in an initial screen for inflammatory bowel disease found evidence for rare variant effects (and these were protective114, but see also115)”
From Rare and common variants: twenty arguments (2012) · cites this paper as [113]
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
Genome-wide association study of 14,000 cases of seven common diseases and 3,000 shared controls
The Wellcome Trust Case Control Consortium, Management Committee, Burton, P. R., Clayton, D. G., Cardon, L. R., Craddock, N., Deloukas, P., Duncanson, A., Kwiatkowski, D. P., McCarthy, M. I., et al. (2007) · Nature · doi:10.1038/nature05911 · Cited by 9,442
Self-citationGenome sequencing in microfabricated high-density picolitre reactors
Margulies, M., Egholm, M., Altman, W. E., Attiya, S., Bader, J. S., Bemben, L. A., Berka, J., Braverman, M. S., Chen, Y.-J., Chen, Z., et al. (2005) · Nature · doi:10.1038/nature03959 · Cited by 7,693
Self-citationDifferential roles of MDA5 and RIG-I helicases in the recognition of RNA viruses
Kato, H., Takeuchi, O., Sato, S., Yoneyama, M., Yamamoto, M., Matsui, K., Uematsu, S., Jung, A., Kawai, T., Ishii, K. J., et al. (2006) · Nature · doi:10.1038/nature04734 · Cited by 3,888
Genome-wide association studies for complex traits: consensus, uncertainty and challenges
McCarthy, M. I., Abecasis, G. R., Cardon, L. R., Goldstein, D. B., Little, J., Ioannidis, J. P. A., & Hirschhorn, J. N. (2008) · Nature Reviews Genetics · doi:10.1038/nrg2344 · Cited by 2,891
The impact of next-generation sequencing technology on genetics
Mardis, E. R. (2008) · Trends in Genetics · doi:10.1016/j.tig.2007.12.007 · Cited by 2,113
Robust associations of four new chromosome regions from genome-wide analyses of type 1 diabetes
Finland, G. O. T. 1. D. I., Todd, J. A., the Wellcome Trust Case Control Consortium, Walker, N. M., Cooper, J. D., Smyth, D. J., Downes, K., Plagnol, V., Bailey, R., Nejentsev, S., et al. (2007) · Nature Genetics · doi:10.1038/ng2068 · Cited by 1,456
Self-citationGenetic Mapping in Human Disease
Altshuler, D., Daly, M. J., & Lander, E. S. (2008) · Science · doi:10.1126/science.1156409 · Cited by 1,452
A functional variant of lymphoid tyrosine phosphatase is associated with type I diabetes
Bottini, N., Musumeci, L., Alonso, A., Rahmouni, S., Nika, K., Rostamkhani, M., MacMurray, J. P., Meloni, T., Lucarelli, P., Pellecchia, M., et al. (2004) · Nature Genetics · doi:10.1038/ng1323 · Cited by 1,419
Intracellular pattern recognition receptors in the host response
Meylan, E., Tschopp, J., & Karin, M. (2006) · Nature · doi:10.1038/nature04946 · Cited by 1,196
Common and rare variants in multifactorial susceptibility to common diseases
Bodmer, W., & Bonilla, C. (2008) · Nature Genetics · doi:10.1038/ng.f.136 · Cited by 1,131
Flagged first, then by citations
Research works printed but not linked: 2
- S. Liuet al., Hum. Mol. Genet.18, 358 (2009).
- We thank the patients control participants and family members for participating in the study. S.N. held the Diabetes Research and Wellness Foundation Non-Clinical Fellowship at the early stages of the project and now holds the Royal Society University Research Fellowship. The Juvenile Diabetes Research Foundation/Wellcome Trust Diabetes and Inflammation Laboratory is funded by the Juvenile Diabetes Research Foundation the Wellcome Trust and the National Institute for Health Research Biomedical Research Centre. The Cambridge Institute for Medical Research is in receipt of a Wellcome Trust Strategic Award (079895). Full acknowledgements are in the supporting online material. Previously unseen SNPs were submitted to dbSNP database (www.ncbi.nlm.nih.gov/SNP/); their submission numbers are in table S3.
Cited by
Sorted by citations
Items 501–600 of 958
Identification of rare genetic variants in novel loci associated with Paget’s disease of bone
Beauregard, M., Gagnon, É., Guay-Bélanger, S., Morissette, J., Brown, J. P., & Michou, L. (2013) · Human Genetics · doi:10.1007/s00439-013-1409-x · Cited by 22
Next-generation sequencing approaches for genetic mapping of complex diseases
Casals, F., Idaghdour, Y., Hussin, J., & Awadalla, P. (2012) · Journal of Neuroimmunology · doi:10.1016/j.jneuroim.2011.12.017 · Cited by 26
Witsø, E., Tapia, G., Cinek, O., Pociot, F., Stene, L. C., & Rønningen, K. S. (2011) · PLoS ONE · doi:10.1371/journal.pone.0027781 · Cited by 22
Aminkeng, F., Autreve, J. E. V., Weets, I., Quartier, E., Schravendijk, C. V., Gorus, F., & der Auwera, B. J. R. V. (2009) · Human Immunology · doi:10.1016/j.humimm.2009.06.013 · Cited by 22
Penna-Martinez, M., Ramos‐Lopez, E., Robbers, I., Kahles, H., Hahner, S., Willenberg, H. S., Reisch, N., Seidl, C., Segni, M., & Badenhoop, K. W. J. (2009) · BMC Medical Genetics · doi:10.1186/1471-2350-10-126 · Cited by 22
Santín, I., dos Santos, R. S., & Eizirik, D. L. (2015) · Methods in molecular biology · doi:10.1007/7651_2015_291 · Cited by 20
Chen, G., Zhou, D., Zhang, Z., Kan, M., Zhang, D., Hu, X., Feng, G., Liu, Y., & He, L. (2011) · International Journal of Immunogenetics · doi:10.1111/j.1744-313x.2011.01068.x · Cited by 22
Reeve, M. P., Vehviläinen, M., Luo, S., Ritari, J., Karjalainen, J. M., Tabuenca, J. G., Mehtonen, J., Padmanabhuni, S. S., Kolosov, N., Artomov, M., et al. (2024) · The American Journal of Human Genetics · doi:10.1016/j.ajhg.2024.04.020 · Cited by 20
Common variants in the CYP2C19 gene are associated with susceptibility to endometriosis
Painter, J. N., Nyholt, D. R., Krause, L., Zhao, Z., Chapman, B. M., Zhang, C., Medland, S. E., Martin, N. G., Kennedy, S. M., Treloar, S. A., et al. (2014) · Fertility and Sterility · doi:10.1016/j.fertnstert.2014.04.015 · Cited by 20
Li, A., & Meyre, D. (2014) · Current Psychiatry Reviews · doi:10.2174/1573400510666140630170549 · Cited by 23
Kitajima, T., Funauchi, A., Nakajima, T., Marumo, S., Imura, Y., & Fukui, M. (2022) · The Journal of Rheumatology · doi:10.3899/jrheum.220259 · Cited by 24
Closing the gap between genotype and phenotype
Gregersen, P. K. (2009) · Nature Genetics · doi:10.1038/ng0909-958 · Cited by 21
Plasmonic Sensor Could Enable Label-Free DNA Sequencing
Çetin, A. E., Iyidogan, P., Hayashi, Y., Wallen, M. C., Vijayan, K., Tu, E. L., Nguyen, M., & Oliphant, A. (2018) · ACS Sensors · doi:10.1021/acssensors.7b00957 · Cited by 22
Dissecting mammalian immunity through mutation
Siggs, O. M. (2014) · Immunology & Cell Biology · doi:10.1038/icb.2014.8 · Cited by 20
Activation of cytosolic RNA sensors by endogenous ligands: roles in disease pathogenesis
Straub, S., & Sampaio, N. G. (2023) · Frontiers in Immunology · doi:10.3389/fimmu.2023.1092790 · Cited by 21
A cis -Acting Regulatory Variant in the IL2RA Locus
Qu, H., Verlaan, D. J., Ge, B., Lu, Y. Z., Lam, K. C. L., Grabs, R., Harmsen, E., Hudson, T. J., Hakonarson, H. H., Pastinen, T., et al. (2009) · The Journal of Immunology · doi:10.4049/jimmunol.0901337 · Cited by 20
The Genetics of Innate Immunity Sensors and Human Disease
Pothlichet, J., & Quintana‐Murci, L. (2013) · International Reviews of Immunology · doi:10.3109/08830185.2013.777064 · Cited by 20
Witsø, E., Cinek, O., Tapia, G., Brorsson, C., Stene, L. C., Gjessing, H. K., Rasmussen, T., Bergholdt, R., Pociot, F., & Rønningen, K. S. (2015) · Viral Immunology · doi:10.1089/vim.2015.0067 · Cited by 20
Cortés, A., Field, J., Glazov, E. A., Hadler, J., Stankovich, J. M., Brown, M. A., Baxter, A., Kermode, A. G., Taylor, B. V., Booth, D. R., et al. (2013) · Human Molecular Genetics · doi:10.1093/hmg/ddt062 · Cited by 20
GWASeq: targeted re-sequencing follow up to GWAS
Salomon, M. P., Li, W. L. S., Edlund, C. K., Morrison, J. L., Fortini, B. K., Win, A. K., Conti, D. V., Thomas, D. C., Duggan, D. J., Buchanan, D. D., et al. (2016) · BMC Genomics · doi:10.1186/s12864-016-2459-y · Cited by 20
Urrutia, E., Lee, S., Maity, A., Zhao, N., Shen, J., Li, Y., & Wu, M. C. (2015) · Statistics and Its Interface · doi:10.4310/sii.2015.v8.n4.a8 · Cited by 19
Lack of association of rare functional variants in TSC1/TSC2 genes with autism spectrum disorder
Bahl, S., Chiang, C., Beauchamp, R. L., Neale, B. M., Daly, M. J., Gusella, J. F., Talkowski, M. E., & Ramesh, V. (2013) · Molecular Autism · doi:10.1186/2040-2392-4-5 · Cited by 20
Munroe, M. E., Pezant, N. P., Brown, M., Fife, D. A., Guthridge, J. M., Kelly, J. A., Wiley, G. B., Gaffney, P. M., James, J. A., & Montgomery, C. G. (2017) · PLoS ONE · doi:10.1371/journal.pone.0171193 · Cited by 20
Is Type 1 Diabetes “Going Viral”?
Richardson, S. J., & Horwitz, M. S. (2014) · Diabetes · doi:10.2337/db14-0510 · Cited by 19
The Next Generation of Complex Lung Genetic Studies
Yang, I. V., & Schwartz, D. A. (2012) · American Journal of Respiratory and Critical Care Medicine · doi:10.1164/rccm.201207-1178pp · Cited by 19
Prioritizing Genetic Variants for Causality on the Basis of Preferential Linkage Disequilibrium
Zhu, Q., Ge, D., Heinzen, E. L., Dickson, S. P., Urban, T. J., Zhu, M., Maia, J. M., He, M., Zhao, Q., Shianna, K. V., et al. (2012) · The American Journal of Human Genetics · doi:10.1016/j.ajhg.2012.07.010 · Cited by 20
Nakaoka, H., Cui, T., Tajima, A., Oka, A., Mitsunaga, S., Kashiwase, K., Homma, Y., Sato, S., Suzuki, Y., Inoko, H., et al. (2011) · PLoS ONE · doi:10.1371/journal.pone.0025389 · Cited by 19
A low-frequency GLIS3 variant associated with resistance to Japanese type 1 diabetes
Awata, T., Yamashita, H., Kurihara, S., Morita‐Ohkubo, T., Miyashita, Y., Katayama, S., Kawasaki, E., Tanaka, S. A., Ikegami, H., Maruyama, T., et al. (2013) · Biochemical and Biophysical Research Communications · doi:10.1016/j.bbrc.2013.06.102 · Cited by 19
Evaluation of Allele Frequency Estimation Using Pooled Sequencing Data Simulation
Guo, Y. P., Samuels, D. C., Li, J., Clark, T. A., Li, C.-I., & Shyr, Y. (2013) · The Scientific World JOURNAL · doi:10.1155/2013/895496 · Cited by 19
New Evidence of Exocrine Pancreatopathy in Pre-symptomatic and Symptomatic Type 1 Diabetes
Vecchio, F., Messina, G., Giovenzana, A., & Petrelli, A. (2019) · Current Diabetes Reports · doi:10.1007/s11892-019-1223-5 · Cited by 18
Grolmusz, V. K., Bozsik, A., Papp, J., & Patócs, A. (2021) · Frontiers in Immunology · doi:10.3389/fimmu.2021.653489 · Cited by 19
Analysis of polymorphisms in RIG-I-like receptor genes in German multiple sclerosis patients
Varzari, A., Bruch, K., Deyneko, I. V., Chan, A., Epplen, J. T., & Hoffjan, S. (2014) · Journal of Neuroimmunology · doi:10.1016/j.jneuroim.2014.09.015 · Cited by 19
Lamina, C. (2011) · BMC Proceedings · doi:10.1186/1753-6561-5-s9-s105 · Cited by 19
Exposing Viruses: RNA Patterns Sensed by RIG-I-like Receptors
Rehwinkel, J. (2010) · Journal of Clinical Immunology · doi:10.1007/s10875-010-9384-7 · Cited by 19
Interferon and Interferon‐Inducible Gene Activation in Patients with Type 1 Diabetes
Panarina, M., Kisand, K. E., Alnek, K., Heilman, K., Peet, A., & Uibo, R. (2014) · Scandinavian Journal of Immunology · doi:10.1111/sji.12204 · Cited by 18
Cheung, C., Sham, P. C., Xiao, S., Bow, C., & Kung, A. W. C. (2011) · Osteoporosis International · doi:10.1007/s00198-011-1779-7 · Cited by 18
Liu, J., Chen, M., Li, R., Yang, F., Shi, X., Zhu, L., Wang, H., Yao, W., Liu, Q., Meng, F., et al. (2012) · PLoS ONE · doi:10.1371/journal.pone.0043631 · Cited by 18
Böhm, B. B., Burkhardt, H., Uebe, S., Apel, M., Behrens, F., Reis, A., & Hüffmeier, U. (2012) · Arthritis Research & Therapy · doi:10.1186/ar3807 · Cited by 18
Identifying Multi-Omics Causers and Causal Pathways for Complex Traits
Qin, H., Niu, T., & Zhao, J. (2019) · Frontiers in Genetics · doi:10.3389/fgene.2019.00110 · Cited by 19
Assessing association between protein truncating variants and quantitative traits
Rivas, M. A., Pirinen, M., Neville, M., Gaulton, K. J., Moutsianas, L., Lindgren, C. M., Karpe, F., McCarthy, M. I., & Donnelly, P. (2013) · Bioinformatics · doi:10.1093/bioinformatics/btt409 · Cited by 17
Gu, W., Gurguis, C. I., Zhou, J. J., Zhu, Y., Ko, E.-A., Ko, J., Wang, T., & Zhou, T. (2015) · Genome Biology and Evolution · doi:10.1093/gbe/evv191 · Cited by 18
Byrnes, A., Wu, M. C., Wright, F. A., Li, M., & Li, Y. (2013) · Genetic Epidemiology · doi:10.1002/gepi.21747 · Cited by 17
Sayed, S., & Nabi, A. H. M. N. (2020) · Advances in experimental medicine and biology · doi:10.1007/5584_2020_518 · Cited by 18
Beta cells under attack: toward a better understanding of type 1 diabetes immunopathology
Coppieters, K. T., Roep, B. O., & von Herrath, M. G. (2010) · Seminars in Immunopathology · doi:10.1007/s00281-010-0236-6 · Cited by 18
Functional evaluation of the role of C-type lectin domain family 16A at the chromosome 16p13 locus
Zouk, H., D'Hennezel, E., Du, X., Ounissi-Benkalha, H., Piccirillo, C. A., & Polychronakos, C. (2014) · Clinical and Experimental Immunology · doi:10.1111/cei.12240 · Cited by 17
Leveraging genetics to understand ADAR1-mediated RNA editing in health and disease
Li, J. B., & Walkley, C. R. (2025) · Nature Reviews Genetics · doi:10.1038/s41576-025-00830-5 · Cited by 22
Autoimmunity caused by constitutive activation of cytoplasmic viral RNA sensors
Kato, H., & Fujita, T. (2014) · Cytokine & Growth Factor Reviews · doi:10.1016/j.cytogfr.2014.08.003 · Cited by 17
Gómez, J., Reguero, J. R., Morı́s, C., Álvarez, V., & Coto, E. (2013) · Journal of Cardiovascular Translational Research · doi:10.1007/s12265-013-9516-6 · Cited by 17
The Importance of Global Studies of the Genetics of Type 2 Diabetes
McCarthy, M. I. (2011) · Diabetes & Metabolism Journal · doi:10.4093/dmj.2011.35.2.91 · Cited by 17
The missing heritability in type 1 diabetes
Pang, H., Lin, J., Luo, S., Huang, G., Li, X., Xie, Z., & Zhou, Z. (2022) · Diabetes Obesity and Metabolism · doi:10.1111/dom.14777 · Cited by 19
SNVerGUI: a desktop tool for variant analysis of next-generation sequencing data
Wang, W., Hu, W., Hou, F., Hu, P., & Wei, Z. (2012) · Journal of Medical Genetics · doi:10.1136/jmedgenet-2012-101001 · Cited by 17
Lodhi, S., & Kori, M. L. (2021) · Pharmaceutical Chemistry Journal · doi:10.1007/s11094-021-02329-9 · Cited by 20
Sioofy‐Khojine, A., Richardson, S. J., Locke, J. M., Oikarinen, S., Nurminen, N., Laine, A., Downes, K., Lempainen, J., Todd, J. A., Veijola, R., et al. (2022) · Diabetologia · doi:10.1007/s00125-022-05753-y · Cited by 16
Self-citationHermann, R., & Ilonen, J. (2013) · Springer eBooks · doi:10.1007/978-1-4614-4051-2_3
Philip, J. N., Xu, Z., Bowles, N. E., & Vallejo, J. G. (2012) · Circulation Heart Failure · doi:10.1161/circheartfailure.112.969402 · Cited by 17
Identification of Causal Sequence Variants of Disease in the Next Generation Sequencing Era
Kingsley, C. B. (2010) · Methods in molecular biology · doi:10.1007/978-1-61737-954-3_3 · Cited by 19
Resolving the Variable Genome and Epigenome in Human Disease
Knight, J. C. (2012) · Journal of Internal Medicine · doi:10.1111/j.1365-2796.2011.02508.x · Cited by 15
Age-dependent effect of the IFIH1/MDA5 gene variants on the risk of critical COVID-19
Muñiz-Banciella, M. G., Albaiceta, G. M., Amado‐Rodríguez, L., del Riego, E. S., López-Alonso, I., López‐Martínez, C., Martín-Vicente, P., Clemente, M. M. G., Hermida-Valverde, T., Enríquez-Rodríguez, A. I., et al. (2022) · Immunogenetics · doi:10.1007/s00251-022-01281-6 · Cited by 16
SNP discovery performance of two second-generation sequencing platforms in the NOD2 gene region
Melum, E., May, S., Schilhabel, M. B., Thomsen, I., Karlsen, T. H., Rosenstiel, P. C., Schreiber, S., & Franke, A. (2010) · Human Mutation · doi:10.1002/humu.21276 · Cited by 16
Emerging Concepts and Technologies for the Discovery of Microorganisms Involved in Human Disease
Bullman, S., Meyerson, M. M., & Kostic, A. D. (2016) · Annual Review of Pathology Mechanisms of Disease · doi:10.1146/annurev-pathol-012615-044305 · Cited by 16
Wawrusiewicz‐Kurylonek, N., Gościk, J., Chorąży, M., Siewko, K., Posmyk, R., Zajkowska, A., Citko, A., Maciulewski, R., Szelachowska, M., Myśliwiec, J., et al. (2019) · Immunobiology · doi:10.1016/j.imbio.2019.10.013 · Cited by 16
Rodríguez, A. M., Alfaro, J. M. E., Balthazar, V., & Pineda-Trujillo, N. (2014) · Journal of Diabetes · doi:10.1111/1753-0407.12192 · Cited by 16
Sequencing Genomes: From Individuals to Populations
Mir, K. U. (2009) · Briefings in Functional Genomics and Proteomics · doi:10.1093/bfgp/elp040 · Cited by 15
LTN1 promotes RLR degradation to inhibit immune response to RNA virus through the ESCRT pathway
Qin, F., Cai, B., Wang, P., Cao, R., Zhang, Y., Wen, H., Zheng, Y., Zhao, W., Gao, C., & Liu, B. (2023) · Autophagy · doi:10.1080/15548627.2023.2291939 · Cited by 15
Common and Rare Variant Association Study for Plasma Lipids and Coronary Artery Disease
Tada, H., Kawashiri, M., Konno, T., Yamagishi, M., & Hayashi, K. (2015) · Journal of Atherosclerosis and Thrombosis · doi:10.5551/jat.31393 · Cited by 15
A data-driven method for identifying rare variants with heterogeneous trait effects
Zhang, Q., Irvin, M. R., Arnett, D. K., Province, M. A., & Borecki, I. B. (2011) · Genetic Epidemiology · doi:10.1002/gepi.20618 · Cited by 16
Finding the missing heritability of complex
Manolio, A., Collins, F. S., Cox, N. J., Goldstein, D. B., Hindorff, L. A., Hunter, D. J., McCarthy, M. I., Ramos, E. M., Cardon, L. R., Chakravarti, A., et al. (2009) · Cited by 15
Bouças, A. P., de Oliveira, F. D. S., Canani, L. H. S., & Crispim, D. (2013) · Arquivos Brasileiros de Endocrinologia & Metabologia · doi:10.1590/s0004-27302013000900001 · Cited by 15
Zhao, Z., Wang, W., & Wei, Z. (2013) · The Annals of Applied Statistics · doi:10.1214/13-aoas660 · Cited by 14
The Contribution of Low-Frequency and Rare Coding Variation to Susceptibility to Type 2 Diabetes
Flannick, J. A. (2019) · Current Diabetes Reports · doi:10.1007/s11892-019-1142-5 · Cited by 16
Nigi, L., Brusco, N., Grieco, G. E., Fignani, D., Licata, G., Formichi, C., Aiello, E., Marselli, L., Marchetti, P., Krogvold, L., et al. (2022) · Frontiers in Immunology · doi:10.3389/fimmu.2022.833141 · Cited by 15
Xiao, W., Feng, J., Long, H., Xiao, B., & Luo, Z. (2021) · Frontiers in Genetics · doi:10.3389/fgene.2021.660953 · Cited by 14
TNFRSF1A coding variants in multiple sclerosis
Goris, A., Fockaert, N., Cosemans, L., Clysters, K., Nagels, G., Boonen, S., Thijs, V., Robberecht, W., & Dubois, B. (2011) · Journal of Neuroimmunology · doi:10.1016/j.jneuroim.2011.04.005 · Cited by 14
The Past, Present, and Future of Genetic Associations in Type 1 Diabetes
Baker, P. R., & Steck, A. K. (2011) · Current Diabetes Reports · doi:10.1007/s11892-011-0212-0 · Cited by 16
The New Perspectives on Genetic Studies of Type 2 Diabetes and Thyroid Diseases
Xu, M., Bi, Y., Cui, B., Hong, J., Wang, W., & Ning, G. (2013) · Current Genomics · doi:10.2174/138920213804999138 · Cited by 14
Oostveen, A., Bergboer, J. G. M., Kerkhof, P., Zeeuwen, P. L. J. M., de Jong, E. M. G. J., Schalkwijk, J., & Seyger, M. M. B. (2014) · Acta Dermato Venereologica · doi:10.2340/00015555-1810 · Cited by 14
Chen, R., Wei, Q., Zhan, X., Zhong, X. Y., Sutcliffe, J. S., Cox, N. J., Cook, E. H., Li, C., Chen, W., & Li, B. (2015) · Bioinformatics · doi:10.1093/bioinformatics/btu860 · Cited by 14
Rare Variants Association Analysis in Large-Scale Sequencing Studies at the Single Locus Level
Jeng, X. J., Daye, Z. J., Lu, W., & Tzeng, J. (2016) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1004993 · Cited by 14
Jermendy, Á., Szatmári, I., Körner, A., Szabo, A. J., Tóth‐Heyn, P., & Hermann, R. (2017) · Pediatric Diabetes · doi:10.1111/pedi.12569 · Cited by 14
Nyalwidhe, J. O., Jurczyk, A., Satish, B., Redick, S. D., Qaisar, N., Trombly, M. I., Vangala, P., Racicot, R., Bortell, R., Harlan, D. M., et al. (2020) · Microorganisms · doi:10.3390/microorganisms8020295 · Cited by 14
Distinguishing neutral from deleterious mutations in growing populations
Ewing, G., & Jensen, J. D. (2014) · Frontiers in Genetics · doi:10.3389/fgene.2014.00007 · Cited by 14
Dai, Y., Jiang, R., & Dong, J. (2012) · BMC Genetics · doi:10.1186/1471-2156-13-7 · Cited by 14
Risk in complex genetics: “All models are wrong but some are useful”
Sawcer, S. J., & Wason, J. M. S. (2012) · Annals of Neurology · doi:10.1002/ana.23613 · Cited by 13
Wang, S., Yang, Z., Ma, J. Z., Payne, T. J., & Li, M. D. (2013) · Molecular Neurobiology · doi:10.1007/s12035-013-8541-4 · Cited by 13
Day-Williams, A., McLay, K., Drury, E., Edkins, S., Coffey, A. J., Palotie, A. V., & Zeggini, E. (2011) · PLoS ONE · doi:10.1371/journal.pone.0026279 · Cited by 13
Mapping genes for osteoporosis—Old dogs and new tricks
Duncan, E. L., & Brown, M. A. (2010) · Bone · doi:10.1016/j.bone.2009.12.035 · Cited by 14
Tarbell, K. V., & Egen, J. G. (2018) · Journal of Leukocyte Biology · doi:10.1002/jlb.3mir1017-400r · Cited by 15
Pooled DNA Resequencing of 68 Myocardial Infarction Candidate Genes in French Canadians
Beaudoin, M., Lo, K. S., N’Diaye, A., Rivas, M. A., Dubé, M., Laplante, N., Phillips, M. S., Rioux, J. D., Tardif, J., & Lettre, G. (2012) · Circulation Cardiovascular Genetics · doi:10.1161/circgenetics.112.963165 · Cited by 13
Emerging roles of rare and low-frequency genetic variants in type 1 diabetes mellitus
Pang, H., Xia, Y., Luo, S., Huang, G., Li, X., Xie, Z., & Zhou, Z. (2021) · Journal of Medical Genetics · doi:10.1136/jmedgenet-2020-107350 · Cited by 15
Edghill, E. L., Khamis, A., Weedon, M. N., Walker, M., Hitman, G. A., McCarthy, M. I., Owen, K. R., Ellard, S., Hattersley, A. T., & Frayling, T. M. (2011) · Diabetic Medicine · doi:10.1111/j.1464-5491.2011.03269.x · Cited by 13
Testing for rare variant associations in complex diseases
Asimit, J. L., & Zeggini, E. (2011) · Genome Medicine · doi:10.1186/gm238 · Cited by 14
Hu, S.-W., YanFang, Z., Hao, Y., Luo, M., Zhou, Y., Guo, H., Liao, W., Wan, D., Wei, H., Gao, Y., et al. (2009) · Clinical Chemistry and Laboratory Medicine (CCLM) · doi:10.1515/cclm.2009.284 · Cited by 13
Genome-wide association studies - A summary for theclinical gastroenterologist
Melum, E., Franke, A., & Karlsen, T. H. (2009) · World Journal of Gastroenterology · doi:10.3748/wjg.15.5377 · Cited by 13
Case report: type 1 diabetes in monozygotic quadruplets
Štechová, K., Halbhuber, Z., Hubackova, M., Kayserová, J., Petruželková, L., Včeláková, J., Koloušková, S., Ulmannová, T., Faresjö, M., Neuwirth, A., et al. (2011) · European Journal of Human Genetics · doi:10.1038/ejhg.2011.212 · Cited by 12
Friedrich, S.-K., Lang, P. A., Friebus‐Kardash, J., Duhan, V., Bezgovsek, J., & Lang, K. S. (2018) · Clinical & Experimental Immunology · doi:10.1111/cei.13241 · Cited by 12
Identification of key genes and pathways in discoid lupus skin via bioinformatics analysis
Dong, Q., Chen, K., Xie, J., Han, H., Feng, Y., Lu, J., & Wang, W. (2021) · Medicine · doi:10.1097/md.0000000000025433 · Cited by 13
Bartolomé, A. (2022) · International Journal of Molecular Sciences · doi:10.3390/ijms23010501 · Cited by 15
Type 1 diabetes and inborn errors of immunity: Complete strangers or 2 sides of the same coin?
Mancuso, G., Genzano, C. B., Fierabracci, A., & Fousteri, G. (2023) · Journal of Allergy and Clinical Immunology · doi:10.1016/j.jaci.2023.03.026 · Cited by 12
de Moura, R. R., Araújo, J., Guimarães, R. L., Crovella, S., & Brandão, L. A. C. (2012) · Gene · doi:10.1016/j.gene.2012.11.066 · Cited by 12
Bayesian Detection of Causal Rare Variants under Posterior Consistency
Liang, F., & Xiong, M. (2013) · PLoS ONE · doi:10.1371/journal.pone.0069633 · Cited by 12
Metadata
- Authors
- Nejentsev, S., Walker, N., Riches, D., Egholm, M., & Todd, J. A.
- Affiliations
- University of Cambridge (GB)
- Corresponding author
- Nejentsev, Sergey
- Venue
- Science
- Published
- 2009-04-17
- Volume
- 324
- Issue
- 5925
- Pages
- 387-389
- ISSN
- 0036-8075 (ISSN-L)
- 1095-9203
- PMC
- PMC2707798
- OpenAlex
- W2020040634
- Cited by
- 958
- References
- 25
- Citations by year
- 2026: 7 · 2025: 14 · 2024: 11 · 2023: 25 · 2022: 22 · 2021: 29 · 2020: 30 · 2019: 30 · 2018: 27 · 2017: 47 · 2016: 36 · 2015: 72 · 2014: 72 · 2013: 109 · 2012: 115
- FWCI
- 82.79
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Science (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- Data Archiving and Networked Services (DANS) (submittedVersion)
- Funders
- Wellcome Trust (061858, 079895)
- National Institute for Health and Care Research (NF-SI-0508-10275)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Diabetes and associated disorders
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genetic Associations and Epidemiology
- Life Sciences › Immunology and Microbiology › Immunology › interferon and immune responses
- Keywords
- type 1 diabetes, MDA5, rare variants, antiviral response, interferon induction, viral RNA sensing, disease-associated genes, genetic risk
- MeSH terms
- Interferon-Induced Helicase, IFIH1, Base Sequence, Diabetes Mellitus, Type 1, Gene Frequency, Humans, Molecular Sequence Data, Risk, Risk Factors, Genetic Variation, Linkage Disequilibrium, Case-Control Studies, Sequence Analysis, DNA, Codon, Nonsense, Genetic Predisposition to Disease, Polymorphism, Single Nucleotide, RNA Splice Sites, DEAD-box RNA Helicases, Genome-Wide Association Study
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