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
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 801–900 of 958
Update on Genetic Determinants of Type1 Diabetes
Lysy, P. (2014) · Journal of Molecular and Genetic Medicine · doi:10.4172/1747-0862.1000126 · Cited by 3
Next-generation sequencing for complex disorders
Casals, F., & Bosch, E. (2015) · Cambridge University Press eBooks · doi:10.1017/cbo9781107337459.018 · Cited by 1
Die Rolle seltener Varianten bei häufigen Krankheiten
Ludwig, K. U., Degenhardt, F., & Nöthen, M. M. (2019) · Medizinische Genetik · doi:10.1007/s11825-019-0246-2 · Cited by 1
Basics of immunogenetics: application and future perspectives
Hajam, Y. A., Kumar, R., Bhat, R. A., Rani, R., Sharma, B., & Sharma, P. (2021) · Elsevier eBooks · doi:10.1016/b978-0-323-90053-9.00001-4 · Cited by 1
Dinda, B., & Saha, S. (2022) · Springer eBooks · doi:10.1007/978-3-030-92196-5_1 · Cited by 3
Genetic Methodologies and Applications
Purcell, S. (2017) · Oxford University Press eBooks · doi:10.1093/med/9780190681425.003.0001 · Cited by 1
Meyre, D., & Froguel, P. (2010) · Springer eBooks · doi:10.1007/978-1-60327-874-4_3 · Cited by 1
Unconventional functions of miRNAs
Bosisio, D., Gaudenzi, C., Sozzani, S., & Salvi, V. (2022) · Elsevier eBooks · doi:10.1016/b978-0-323-89774-7.00011-x · Cited by 1
Pakha, D. N., Yudhani, R. D., & Irham, L. M. (2024) · Genomics & Informatics · doi:10.1186/s44342-024-00005-4 · Cited by 2
El-Naidany, S. S., Esmail, A. A., Zahran, E. S., Fathi, M., & Zewain, S. K. (2024) · Journal of Immunoassay and Immunochemistry · doi:10.1080/15321819.2024.2435856 · Cited by 1
Environmental Factors and Type 1 Diabetes Mellitus in Pediatric Age Group
d’Annunzio, G., Accogli, A., Tallone, R., Bolloli, S., & Lorini, R. (2013) · InTech eBooks · doi:10.5772/53267 · Cited by 2
Whole Genome and Exome Sequencing of Type 2 Diabetes
Gaulton, K. J., Flannick, J. A., & Fuchsberger, C. (2014) · Frontiers in diabetes · doi:10.1159/000362465 · Cited by 1
Molecular and Immunological Mechanisms of B-Cell Death in Type 1 DiabetesMellitus
Mohamed, A. (2016) · Research journal of biology · Cited by 1
Pathogenesis of Type 1 Diabetes
Pugliese, A. (2018) · Endocrinology · doi:10.1007/978-3-319-27317-4_7-1 · Cited by 1
Le diabète de type 1. Des biomarqueurs à une prévention
Boîtard, C. (2017) · Bulletin de l Académie Nationale de Médecine · doi:10.1016/s0001-4079(19)30527-8 · Cited by 1
Identification of key genes for type 1 diabetes mellitus by network-based guilt by association
Li, S., Tian, J., Wei, T., & Wang, H.-R. (2020) · Revista da Associação Médica Brasileira · doi:10.1590/1806-9282.66.6.778 · Cited by 1
van der Burg, M., Dalm, V. A. S. H., & Weemaes, C. M. R. (2020) · Elsevier eBooks · doi:10.1016/b978-0-12-816768-7.00020-x · Cited by 1
Genome‐wide Association Studies: The Success, Failure and Future
Ku, C., Yun, L. E., Yudi Pawitan, Y., & Kee‐Seng, C. (2009) · Wiley eBooks · doi:10.1002/9780470015902.a0021995 · Cited by 1
Molecular Basis of Complex Traits
Polychronakos, C. (2011) · Wiley eBooks · doi:10.1002/9780470015902.a0021448 · Cited by 1
Genetics of amyotrophic lateral sclerosis in the Han Chinese
He, J. (2015) · The University of Queensland · doi:10.14264/uql.2015.812 · Cited by 1
Whole Genome Resequencing and 1000 Genomes Project
Ku, C., Yun, L. E., Yudi Pawitan, Y., & Kee‐Seng, C. (2010) · Wiley eBooks · doi:10.1002/9780470015902.a0022507 · Cited by 1
Research on Rare Variants for Complex Diseases
Ku, C., Magnusson, P. K. E., Chia, K. S., & Yudi Pawitan, Y. (2010) · Wiley eBooks · doi:10.1002/9780470015902.a0022658 · Cited by 1
Autoimmunity: insights from human genomics
Raychaudhuri, S., & Rich, S. S. (2012) · Current Opinion in Immunology · doi:10.1016/j.coi.2012.09.006 · Cited by 1
Genetics of Rheumatic Diseases
Eyre, S., Gregersen, P. K., & Barton, A. C. (2016) · Elsevier eBooks · doi:10.1016/b978-0-323-31696-5.00021-8 · Cited by 1
Molecular genetics of type 1 diabetes
Kelly, M. A., Rees, S. D., Barnett, A. H., & Bain, S. C. (2015) · Wiley eBooks · doi:10.1002/9781118387658.ch30 · Cited by 1
Salanti, G., Zeggini, E., & Ioannidis, J. P. A. (2010) · American Journal of Epidemiology · doi:10.1093/aje/kwq059 · Cited by 1
Mapping the genes for complex canine autoimmune diseases
Massey, J. (2012) · Research Explorer (The University of Manchester) · Cited by 1
Human Genome Project, Genomics, and Clinical Research
Korf, B. R., & Liu, N. (2012) · Elsevier eBooks · doi:10.1016/b978-0-12-382167-6.00049-7 · Cited by 1
Innate Immunity of Human Pancreatic Islets Infected with Different Enterovirus Types
Frisk, G. (2012) · Springer eBooks · doi:10.1007/978-1-4614-4051-2_29
Rare Variants Analysis in Unrelated Individuals
Feng, T., & Zhu, X. (2012) · Translational bioinformatics · doi:10.1007/978-94-007-5558-1_8
Mixture and Mixed Models Analysis for Genetic Variants
Zhan, H. (2013) · eScholarship (California Digital Library)
The pedriatic psoriasis patiënt: a holistic approach
Oostveen, A. M. (2015) · Radboud Repository (Radboud University)
Genome-Wide Analyses of HIV-1 Host Genetics
Pelak, K. (2012) · DukeSpace (Duke University)
Viruses and Autoimmune Diabetes: A History
Leslie, R. D., Ho-Le, L., & Beyan, H. (2012) · Springer eBooks · doi:10.1007/978-1-4614-4051-2_2
Delineating Signals from Association Studies
Voight, B. F. (2010) · Elsevier eBooks · doi:10.1016/b978-0-12-375142-3.10017-3
Peltier, D. (2010) · Deep Blue (University of Michigan)
The Role of MDA5 and TLR3 in Response to dsRNA and Viral Infection
McCartney, S. A. (2010) · Open Scholarship Institutional Repository (Washington University in St. Louis) · doi:10.7936/k7g73bqp
Large Scale Machine Learning in Biology
Raj, A. (2011) · doi:10.7916/d82n5863
Unravelling the Mystery of Sudden Cardiac Death Through Genetic Approaches
Koo, S., Ku, C., Chui, P., & Lee, E. (2011) · Encyclopedia of Life Sciences · doi:10.1002/9780470015902.a0023214
Host-microbe interactions in coxsackievirus infection : Focus on innate immunity
Hühn, M. H. (2010) · Figshare
The Application of Pooled DNA Sequencing in Disease Association Study
Lin, C., & Wang, T. (2012) · InTech eBooks · doi:10.5772/36961
Innate Immune Recognition of RNA-virus infection in human macrophages
Kerminen, J. (2011) · Työväentutkimus Vuosikirja
Recent Progress in Identifying Genes Contributing to Type 2 Diabetes and Metabolic Syndrome
Xie, W., Frayling, T. M., & Weedon, M. N. (2011) · Wiley eBooks · doi:10.1002/9781444347319.ch7
Genome-Wide Association Studies of Human Growth Traits
Weedon, M. N. (2013) · Nestlé Nutrition Institute Workshop series · doi:10.1159/000342541
Comparative Genetic Analysis of Type 1 Diabetes and Inflammatory Bowel Disease
Bakay, M. A., Pandey, R., & Hakonarso, H. (2011) · InTech eBooks · doi:10.5772/22023
A BATTLE BETWEEN HOST AND PATHOGEN: THE INNATE IMMUNE RESPONSE AND ENTEROVIRUS EVASION STRATEGIES
Lind, K. (2014) · Figshare
Genome‐wide Association Studies of Cancers
Ku, C., Naidoo, N., Hartman, M., & Yudi Pawitan, Y. (2010) · Wiley eBooks · doi:10.1002/9780470015902.a0022659
Ng, M. C. Y., & Cox, N. J. (2010) · Elsevier eBooks · doi:10.1016/b978-0-12-374934-5.00052-0
Genetic factors involved in stroke susceptibility and in outcome at three months
Manso, H. (2011) · Portuguese National Funding Agency for Science, Research and Technology (RCAAP Project by FCT)
Genetics of Estrogen-Related Traits; From Candidate Genes to GWAS
Stolk, L. (2009) · EUR Research Repository (Erasmus University Rotterdam)
Modulation of TCR signals reprograms immune tolerance in transplantation and type-1 diabetes
Khattar, M. (2012) · OhioLink ETD Center (Ohio Library and Information Network)
Viral Infections and Type 1 Diabetes
Antonelli, A., Ferrari, S. M., Domenicantonio, A. D., Ferrannini, E., & Fallahi, P. (2015) · Elsevier eBooks · doi:10.1016/b978-0-444-63269-2.00047-7
Evasion of MDA5-Mediated Innate Immunity by Paramyxoviruses
Davis-Gardner, M. E. (2015) · Digital Access to Scholarship at Harvard (DASH) (Harvard University)
Investigating the genetics and pharmacogenetics of bowel cancer
West, H. D. (2013) · ORCA Online Research @Cardiff (Cardiff University)
Genomic Approaches to Dissect Innate Immune Pathways
Lee, M. N. (2013) · Digital Access to Scholarship at Harvard (DASH) (Harvard University)
Innate Immune Responses to Viruses Inducing Diabetes
Lind, K., & Tullberg, M. F. (2013) · Springer eBooks · doi:10.1007/978-1-4614-4051-2_27
Statistical Approaches for Next-Generation Sequencing Data
Qiao, D. (2013) · Digital Access to Scholarship at Harvard (DASH) (Harvard University)
Molecular Genetics of Coeliac Disease
Mistry, V., & van Heel, D. A. (2011) · Encyclopedia of Life Sciences · doi:10.1002/9780470015902.a0022476
Statistical Methods and Analysis in Next Generation Sequencing.
Zhan, X. (2014) · Deep Blue (University of Michigan)
Génétique du diabète de type 2 et de l’obésité : où en sommes-nous ? Que pouvons-nous en attendre ?
Bonnefond, A., & Froguel, P. (2011) · Médecine des Maladies Métaboliques · doi:10.1016/s1957-2557(11)70296-6 · Cited by 1
Genetics and osteoarthritis: implications for the clinic
Loughlin, J. A. (2009) · International Journal of Clinical Rheumatology · doi:10.2217/ijr.09.41
Rare protection against type 1 diabetes
Plenge, R. M. (2009) · Genome biology · doi:10.1186/gb-2009-10-5-219
A Robust GWSS Method to Simultaneously Detect Rare and Common Variants for Complex Disease
Kao, C.-F., Liu, J., Hung, H., & Kuo, P. (2015) · PLoS ONE · doi:10.1371/journal.pone.0120873
Ji, R. (2012) · International Journal of Computational Models and Algorithms in Medicine · doi:10.4018/ijcmam.2012100106
Investigating genotype–phenotype influences on the development of type 1 diabetes
Peakman, M. (2011) · Journal of Medical Virology · doi:10.1002/jmv.22064
Genome-wide association studies of Type 2 diabetes: are these ready to make an impact in the clinic?
Thanabalasingham, G., Gloyn, A. L., & Owen, K. R. (2011) · Diabetes Management · doi:10.2217/dmt.11.30
Type 1 diabetes—not all in the genes
Leslie, D. (2011) · Journal of Medical Virology · doi:10.1002/jmv.22065
IFIH1/MDA5 in the innate immune response to coxsackievirus infection
Flodström‐Tullberg, M. (2011) · Journal of Medical Virology · doi:10.1002/jmv.22061
Definition and analysis of SNP-free regions of current genome wide association study databases
Qiu, R., Wu, M., Liu, C., Jiang, H., & Ling-yun, F. (2010) · International Conference on Bio-Inspired Computing: Theories and Applications (BIC-TA) · doi:10.1109/bicta.2010.5645123
Recent Developments in the Genetic and Genomic Basis of Type 2 Diabetes
Richards, H. B., & McCarthy, M. I. (2012) · Current Cardiovascular Risk Reports · doi:10.1007/s12170-012-0281-x
Applying Large-Scale Genetic and Genomic Datasets to Complex Disease Association
Jostins, L., Barrett, J., & Durbin, R. M. (2010)
Quantitative Genetic Methods to Dissect Heterogeneity in Complex Traits
Bigdeli, T. B. (2012) · VCU Scholars Compass (Virginia Commonwealth University) · doi:10.25772/pf8q-zs17
Pancreatic beta-cell failure in the pathogenesis of type 1 diabetes
Sharland, A. F. (2012) · The Sydney eScholarship Repository (The University of Sydney)
Impact of Candidate Genes on Obesity and Type 2 Diabetes
Långberg, E. (2011) · Figshare
Cirulli, E. T. (2010) · DukeSpace (Duke University)
Bakay, M., & Hakonarson, H. (2012) · Diabetes Management · doi:10.2217/dmt.11.77
Evaluating rare variants under two-stage design
Li, Q., Pan, D., Yue, W., Gao, Y., & Yu, K. F. (2012) · Journal of Human Genetics · doi:10.1038/jhg.2012.33
Schulte, B. M. (2010) · Radboud Repository (Radboud University)
Genetic association studies in allergic rhinitis
Carlberg, D. (2014) · Figshare
de Oliveira, F. D. S., Canani, L. H. S., & Crispim, D. (2013)
Original Article Next generation sequencing of CLU, PICALM and CR1: pitfalls and potential solutions
Lord, J., Turton, J. C., Medway, C., Shi, H., Brown, K. S., Lowe, J. S., Mann, D. M. A., Pickering-Brown, S. M., Kalsheker, N. A., Passmore, P., et al. (2012)
Zhang, Y., Long, J., Lü, W., Shu, X., Cai, Q., Zheng, Y. F., Li, C., Li, B., Gao, Y., & Zheng, W. (2014)
Label-free DNA sequencing using Millikan detection
Dettloff, R., Leiske, D. L., Chow, A. W., & Farinas, J. (2015) · Analytical Biochemistry · doi:10.1016/j.ab.2015.06.036
The Toll of too much Interferon
Maria, N. I. (2015) · RePub (Erasmus University Rotterdam)
The Roles of Iddm30 and Iddm24 in the Immunopathogenesis of Type 1 Diabetes in BioBreeding Rats
Chao, Y.-C. G. (2015) · TSpace (University of Toronto)
Genetics of Lumbar Disk Degeneration
Cheung, K., Li, Y., Sham, P. C., & Chan, D. T.-M. (2015) · Springer eBooks · doi:10.1007/978-3-662-47756-4_6
Association Analysis of Rare Variants in Sequencing Studies
Tang, Z.-Z. (2019) · Carolina Digital Repository (University of North Carolina at Chapel Hill) · doi:10.17615/gff8-5122
Byrnes, A. (2019) · Carolina Digital Repository (University of North Carolina at Chapel Hill) · doi:10.17615/stk4-8r94
Semple, F., Macpherson, H. K., Webb, S., Kilanowski, F. M., Lettice, L. A., McGlasson, S. L., Wheeler, A. P., Chen, V., Millhauser, G. L., Melrose, L. A., et al. (2015)
Genetics and epigenetics of rheumatoid
Plant, D., & Raychaudhuri, S. (2013)
Block-based association tests for rare variants using Kullback–Leibler divergence
Zhu, D., Hu, Y., & Lin, S. (2016) · Journal of Human Genetics · doi:10.1038/jhg.2016.90
Age-related etiologic heterogeneity in the onset of islet autoimmunity
Frederiksen, B. N. (2014) · doi:10.25677/7b04-mz94
The statistical analysis of genetic sequencing and rare variant association studies
Urrutia, E. (2019) · Carolina Digital Repository (University of North Carolina at Chapel Hill) · doi:10.17615/e5qv-fa49
and the Role of Rare Coding Variants in Type 2 Diabetes
Lohmueller, K. E., Sparsø, T., Li, Q., Galijatovic, E. A. A., Korneliussen, T. S., Albrechtsen, A., Banasik, K., Grarup, N., Hallgrímsdóttir, I. B., Kiil, K., et al. (2013)
Detection of novel obesity loci in Asian populations
Dorajoo, R. (2012) · Spiral (Imperial College London) · doi:10.25560/10142
Aberrant Activation of RIG-I–Like Receptors and Autoimmune Diseases
Kato, H., & Fujita, T. (2016) · Springer eBooks · doi:10.1007/978-4-431-56068-5_39
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