Interleukin 1 genetic tests provide no support for reduction of preventive dental care

Journal of the American Dental Association

Volumn 146, Issue 3, 2015, Pages 164-173.E4

  Diehl, Scott R ^a   Kuo, Fengshen ^a   Hart, Thomas C ^b  

^a RUTGERS SCHOOL OF DENTAL MEDICINE   (United States)

^b UNIVERSITY OF ILLINOIS AT CHICAGO   (United States)

Author keywords

biomarker; clinical data reanalysis; Genetic screening genetic test; personalized medicine; preventive care; single nucleotide polymorphism; tooth extraction; tooth loss

Indexed keywords

GENETIC MARKER; INTERLEUKIN 1;

ADULT; ADVERSE EFFECTS; DENTAL PROCEDURE; DIABETES COMPLICATIONS; FEMALE; GENETIC MARKER; GENETIC PREDISPOSITION; GENETIC SCREENING; GENETICS; HEALTH INSURANCE; HUMAN; INSURANCE; MALE; MIDDLE AGED; PREVENTIVE MEDICINE; PROCEDURES; RISK FACTOR; SINGLE NUCLEOTIDE POLYMORPHISM; SMOKING; STATISTICS AND NUMERICAL DATA; TOOTH DISEASES;

ADULT; DENTAL CARE; DIABETES COMPLICATIONS; FEMALE; GENETIC MARKERS; GENETIC PREDISPOSITION TO DISEASE; GENETIC TESTING; HUMANS; INSURANCE COVERAGE; INSURANCE, DENTAL; INTERLEUKIN-1; MALE; MIDDLE AGED; POLYMORPHISM, SINGLE NUCLEOTIDE; PREVENTIVE MEDICINE; RISK FACTORS; SMOKING; TOOTH DISEASES;

EID: 84923606309     PISSN: 00028177     EISSN: 19434723     Source Type: Journal    
DOI: 10.1016/j.adaj.2014.12.018     Document Type: Article

References (29)

1. W.V. Giannobile, T.M. Braun, A.K. Caplis, L. Doucette-Stamm, G.W. Duff, and K.S. Kornman Patient stratification for preventive care in dentistry J Dent Res 92 8 2013 694 701 Available at: http://jdr.sagepub.com/content/92/8/694.full Accessed January 20, 2015
2. S. Ebrahim, Z.N. Sohani, and L. Montoya Reanalyses of randomized clinical trial data JAMA 312 10 2014 1024 1032
3. H.M. Krumholz, and E.D. Peterson Open access to clinical trials data JAMA 312 10 2014 1002 1003
4. K. Offit Personalized medicine: new genomics, old lessons Hum Genet 130 1 2011 3 14
5. 1000 Genomes Project Consortium G.R. Abecasis, A. Auton, and L.D. Brooks An integrated map of genetic variation from 1,092 human genomes Nature 491 7422 2012 56 65
6. J.M. Kapp, S.A. Boren, S. Yun, and J. LeMaster Diabetes and tooth loss in a national sample of dentate adults reporting annual dental visits Prev Chronic Dis 4 3 2007 A59
7. T. Hanioka, M. Ojima, K. Tanaka, K. Matsuo, F. Sato, and H. Tanaka Causal assessment of smoking and tooth loss: a systematic review of observational studies BMC Public Health 11 2011 221
8. M.E. Tucker How should clinical trial data be shared? BMJ 347 2013 f4465
9. Institute of Medicine Sharing Clinical Trial Data: Maximizing Benefits, Minimizing Risk 2015 The National Academies Press Washington, DC
10. S.R. Diehl, C.H. Chou, F. Kuo, C.-Y. Huang, and O. Korczeniewska Genetic susceptibility to periodontal disease M.G. Newman, H.H. Takei, P.R. Klokkevold, F.A. Carranza, Carranza's Clinical Periodontology 12th ed. 2014 Elsevier Saunders St. Louis, MO 101 115
11. X. Wu, S. Offenbacher, and N.J. López Association of interleukin-1 gene variations with moderate to severe chronic periodontitis in multiple ethnicities J Periodontal Res 50 1 2015 52 61
12. A.S. Schaefer, G.M. Richter, and M. Nothnagel A genome-wide association study identifies GLT6D1 as a susceptibility locus for periodontitis Hum Mol Genet 19 3 2010 553 562
13. K. Divaris, K.L. Monda, and K.E. North Exploring the genetic basis of chronic periodontitis: a genome-wide association study Hum Mol Genet 22 11 2013 2312 2324
14. A. Teumer, B. Holtfreter, and U. Völker Genome-wide association study of chronic periodontitis in a German population J Clin Periodontol 40 11 2013 977 985
15. K. Rhodin, K. Divaris, and K.E. North Chronic periodontitis genome-wide association studies: gene-centric and gene set enrichment analyses J Dent Res 93 9 2014 882 890
16. R.J. Genco, and W.S. Borgnakke Risk factors for periodontal disease Periodontol 2000 62 1 2013 59 94
17. L.B. Copeland, E.A. Krall, L.J. Brown, R.I. Garcia, and C.F. Streckfus Predictors of tooth loss in two US adult populations J Public Health Dent 64 1 2004 31 37
18. G.S. Ginsburg, S.H. Shah, and J.J. McCarthy Taking cardiovascular genetic association studies to the next level J Am Coll Cardiol 50 10 2007 930 932
19. N.R. Wray, J. Yang, B.J. Hayes, A.L. Price, M.E. Goddard, and P.M. Visscher Pitfalls of predicting complex traits from SNPs Nat Rev Genet 14 7 2013 507 515
20. Kuntz G. Direct-to-consumer genetic tests: misleading test results are further complicated by deceptive marketing and other questionable practices. Testimony before the subcommittee on oversight and investigations, committee on energy and commerce, House of Representatives; 2010. Washington, DC: US Government Accountability Office Publication GAO-10-847T.
21. Secretary's Advisory Committee on Genetic Testing, National Institutes of Health. Enhancing the oversight of genetic tests: recommendations of the SACGT; 2000. Available at: http://osp.od.nih.gov/sites/default/files/resources/oversight-report.pdf. Accessed February 3, 2015.
22. Evaluation of Genomic Applications in Practice and Prevention (EGAPP) Working Group Recommendations from the EGAPP Working Group: does genomic profiling to assess type 2 diabetes improve health outcomes? Genet Med 15 8 2013 612 617
23. National Human Genome Research Institute, National Institutes of Health. Regulation of genetic tests. Available at: www.genome.gov/10002335. Updated September 2, 2014. Accessed November 6, 2014.
24. US National Library of Medicine, National Institutes of Health. Genetics Home Reference; 2014. Available at: http://ghr.nlm.nih.gov/. Accessed November 6, 2014.
25. S. Ripke, C. O'Dushlaine, and K. Chambert Genome-wide association analysis identifies 13 new risk loci for schizophrenia Nat Genet 45 10 2013 1150 1159
26. H. Liu, B. Wang, and C. Han Meta-analysis of genome-wide and replication association studies on prostate cancer Prostate 71 2 2011 209 224
27. C. Winkler, J. Krumsiek, and F. Buettner Feature ranking of type 1 diabetes susceptibility genes improves prediction of type 1 diabetes Diabetologia 57 12 2014 2521 2529
28. C. Langenberg, S.J. Sharp, and P.W. Franks Gene-lifestyle interaction and type 2 diabetes: the EPIC interact case-cohort study PLoS Med 11 5 2014 e1001647
29. D. Diogo, Y. Okada, and R.M. Plenge Genome-wide association studies to advance our understanding of critical cell types and pathways in rheumatoid arthritis: recent findings and challenges Curr Opin Rheumatol 26 1 2014 85 92