The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.
Follow-Up Analysis of Genome-Wide Association Data Identifies Novel Loci for Type 1 Diabetes
Open accessAbstract
OBJECTIVE—Two recent genome-wide association (GWA) studies have revealed novel loci for type 1 diabetes, a common multifactorial disease with a strong genetic component. To fully utilize the GWA data that we had obtained by genotyping 563 type 1 diabetes probands and 1,146 control subjects, as well as 483 case subject–parent trios, using the Illumina HumanHap550 BeadChip, we designed a full stage 2 study to capture other possible association signals. RESEARCH DESIGN AND METHODS—From our existing datasets, we selected 982 markers with P < 0.05 in both GWA cohorts. Genotyping these in an independent set of 636 nuclear families with 974 affected offspring revealed 75 markers that also had P < 0.05 in this third cohort. Among these, six single nucleotide polymorphisms in five novel loci also had P < 0.05 in the Wellcome Trust Case-Control Consortium dataset and were further tested in 1,303 type 1 diabetes probands from the Diabetes Control and Complications Trial/Epidemiology of Diabetes Interventions and Complications (DCCT/EDIC) plus 1,673 control subjects. RESULTS—Two markers (rs9976767 and rs3757247) remained significant after adjusting for the number of tests in this last cohort; they reside in UBASH3A (OR 1.16; combined P = 2.33 × 10−8) and BACH2 (1.13; combined P = 1.25 × 10−6). CONCLUSIONS—Evaluation of a large number of statistical GWA candidates in several independent cohorts has revealed additional loci that are associated with type 1 diabetes. The two genes at these respective loci, UBASH3A and BACH2, are both biologically relevant to autoimmunity.
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Principal components analysis corrects for stratification in genome-wide association studies
Price, A. L., Patterson, N. J., Plenge, R. M., Weinblatt, M. E., Shadick, N. A., & Reich, D. (2006) · Nature Genetics · doi:10.1038/ng1847 · Cited by 10,248
Association of the T-cell regulatory gene CTLA4 with susceptibility to autoimmune disease
Ueda, H., Howson, J. M. M., Esposito, L., Heward, J., Snook, Chamberlain, G., Rainbow, D. B., Hunter, K. M. D., Smith, A. N., Di Genova, G., et al. (2003) · Nature · doi:10.1038/nature01621 · Cited by 2,175
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
A genome-wide association study identifies KIAA0350 as a type 1 diabetes gene
Hakonarson, H., Grant, S. F. A., Bradfield, J. P., Marchand, L., Kim, C. E., Glessner, J. T., Grabs, R., Casalunovo, T., Taback, S. P., Frackelton, E. C., et al. (2007) · Nature · doi:10.1038/nature06010 · Cited by 542
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Cited by
Type 1 Diabetes: Etiology, Immunology, and Therapeutic Strategies
Van Belle, T. L., Coppieters, K. T., & Von Herrath, M. G. (2011) · Physiological Reviews · doi:10.1152/physrev.00003.2010 · Cited by 1,022
The International IBD Genetics Consortium (IIBDGC), Ellinghaus, D., International Genetics of Ankylosing Spondylitis Consortium (IGAS), International PSC Study Group (IPSCSG), Genetic Analysis of Psoriasis Consortium (GAPC), Psoriasis Association Genetics Extension (PAGE), Jostins, L., Spain, S. L., Cortes, A., Bethune, J., et al. (2016) · Nature Genetics · doi:10.1038/ng.3528 · Cited by 751
Concannon, P., Rich, S. S., & Nepom, G. T. (2009) · New England Journal of Medicine · doi:10.1056/nejmra0808284 · Cited by 510
Autoimmune Polyendocrine Syndromes
Husebye, E. S., Anderson, M. S., & Kämpe, O. (2018) · New England Journal of Medicine · doi:10.1056/nejmra1713301 · Cited by 466
Lauc, G., Huffman, J. E., Pučić, M., Zgaga, L., Adamczyk, B., Mužinić, A., Novokmet, M., Polašek, O., Gornik, O., Krištić, J., et al. (2013) · PLoS Genetics · doi:10.1371/journal.pgen.1003225 · Cited by 361
Metadata
- Authors
- Grant, S. F. A., Qu, H.-Q., Bradfield, J. P., Marchand, L., Kim, C. E., Glessner, J. T., Grabs, R., Taback, S. P., Frackelton, E. C., Eckert, A. W., Annaiah, K., Lawson, M. L., Otieno, F. G., Santa, E., Shaner, J. L., Smith, R. M., Skraban, R., Imielinski, M., Chiavacci, R. M., Grundmeier, R. W., Stanley, C. A., Kirsch, S. E., Waggott, D., Paterson, A. D., Monos, D. S., the DCCT/EDIC Research Group, Polychronakos, C., & Hakonarson, H.
- Venue
- Diabetes
- Publisher
- American Diabetes Association
- Published
- 2009-01-01
- Volume
- 58
- Issue
- 1
- Pages
- 290-295
- ISSN
- 0012-1797 (ISSN-L)
- 1939-327X
- OpenAlex
- W2119566098
- Cited by
- 161
- References
- 4
- FWCI
- 7.91
- Type
- journal article
- Language
- en
- Open access
- hybrid
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- The paper
- Grant, S. F. A., Qu, H.-Q., Bradfield, J. P., Marchand, L., Kim, C. E., Glessner, J. T., Grabs, R., Taback, S. P., Frackelton, E. C., Eckert, A. W., Annaiah, K., Lawson, M. L., Otieno, F. G., Santa, E., Shaner, J. L., Smith, R. M., Skraban, R., Imielinski, M., Chiavacci, R. M., . . . Hakonarson, H. (2009). Follow-Up Analysis of Genome-Wide Association Data Identifies Novel Loci for Type 1 Diabetes. Diabetes. https://doi.org/10.2337/db08-1022
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