Prediction and Interaction in Complex Disease Genetics: Experience in Type 1 Diabetes
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Prediction and Interaction in Complex Disease Genetics: Experience in Type 1 Diabetes. PLoS Genet 5(7): e32767. doi:10.1371/journal.pgen.1000540
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1. EpsteinFH
1968 Multiple risk factors and the prediction of coronary heart disease. Bull N Y Acad Med 44 916 935
2. TruettJ
CornfieldJ
KannelW
1967 A multivariate analysis of coronary heart disease risk in Framingham. J Chronic Dis 20 511 524
3. Wey LoongT
2003 Understanding sensitivity and specificity with the right side of the brain. BMJ 327 716 719
4. PencinaMJ
D'AgostinoRB
D'AgostinoRBJr
VasanRS
2008 Evaluating the added predictive value of a new marker: From area under the ROC curve to reclassification and beyond. Stat Med 27 157 172
5. RoseG
1985 Sick individuals and sick populations. Int J Epidemiol 14 32 38
6. [No authors listed]
29 April 2002 Millions ploughed into ‘gene bank’. BBC News. Available: http://news.bbc.co.uk/2/hi/health/1957063.stm. Accessed 12 June 2009
7. TerwilligerJ
WeissK
2003 Confounding, ascertainment bias, and the blind quest for a genetic ‘fountain of youth’. Ann Med 35 532 544
8. JanssensA
van DuijnC
2008 Genome-based prediction of common diseases: Advances and prospects. Hum Mol Genet 17 RJ166 RJ173
9. JakobsdottirJ
GorinMB
ConleyYP
FerrellRE
WeeksDE
2009 Interpretation of genetic association studies: Markers with replicated highly significant odds ratios may be poor classifiers. PLoS Genet 5(2) e1000337 doi:10.1371/journal.pgen.1000337
10. KraftP
WacholderS
CornelisMC
HuFB
HayesRB
2009 Beyond odds ratios—Communicating disease risk based on genetic profiles. Nat Rev Genet 10 264 268
11. PharoahPD
AntoniouA
BobrowM
ZimmernRL
EastonDF
2002 Polygenic susceptibility to breast cancer and implications for prevention. Nat Genet 31 33 36
12. SingalD
BlajchmanM
1973 Histocompatibility (HL-A) antigens, lymphocytotoxic antibodies in patients with diabetes mellitus. Diabetes 22 429 432
13. BellG
HoritaS
KaramJ
1984 A polymorphic locus near the human insulin gene is associated with insulin-dependent diabetes mellitus. Diabetes 33 176 183
14. BarrettJ
ClaytonD
ConcannonP
AkolkarB
CooperJ
2009 A genome-wide association study and meta-analysis indicate that over 40 loci affect risk of type 1 diabetes. Nat Genet E-pub 2009 May 10
15. WalterS
HolfordT
1978 Additive, multiplicative, and other models for disease risk. Am J Epidemiol 108 341 346
16. KupperL
HoganM
1979 Interaction in epidemiologic studies. Am J Epidemiol 103 447 453
17. SaracciR
1980 Interaction and synergism. Am J Epidemiol 112 465 466
18. RothmanK
GreenlandS
WalkerA
1980 Concepts of interaction. Am J Epidemiol 112 467 470
19. WahrendorfJ
1981 Approaches to the detection of interaction effects.
BithellJ
CoppiR
Perspectives in medical statistics London Academic Press 1 20
20. ThompsonW
1991 Effect modification and the limits of biological inference from epidemiologic data. J Clin Epidemiol 44 221 232
21. FisherR
1918 The correlation between relatives on the supposition of Mendelian inheritance. Trans R Soc Edinb 52 399 433
22. NortonR
PearsonE
1976 A note on the background to and refereeing of R.A. Fisher's 1918 paper. Notes Rec Royal Society London 31 151 162
23. BatesonW
1909 Mendel's principles of heredity Cambridge Cambridge University Press
24. WadeM
1992 Epistasis.
KellerE
LloydE
Keywords in evolutionary biology Cambridge Harvard University Press 87 91
25. PhillipsP
1998 The language of gene interaction. Genetics 149 1167 1171
26. CordellH
2002 Epistasis: What it means, what it doesn't mean, and statistical methods to detect it in humans. Hum Mol Genet 11 2463 2468
27. PhillipsP
2008 Epistasis—The essential role of gene interactions in the structure and evolution of genetic systems. Nat Rev Genet 9 855 867
28. AzzaliniA
CoxD
1984 Two new tests associated with the analysis of variance. J R Stat Soc Series B 46 335 343
29. Berrington de GonzálezA
CoxD
2007 Interpretation of interaction: A review. Ann Appl Stat 1 371 385
30. RidgwayW
PetersonL
ToddJ
RainbowD
HealyB
2008 Gene-gene interactions in the NOD mouse model of type 1 diabetes.
UnanueER
McDevittHO
Immunopathogenesis of type 1 diabetes mellitus London Elsevier 151 175 Volume 100 of Advances in Immunology, chapter 6
31. RothmanK
1974 Synergy and antagonism in cause–effect relationships. Am J Epidemiol 99 385 388
32. VanderweeleT
RobinsJ
2007 The identification of synergism in the sufficient-component-cause framework. Epidemiology 18 329 339
33. CaspiA
SugdenK
MoffittT
TaylorA
CraigI
2003 Influence of life stress on depression: Moderation by a polymorphism in the 5-HTT gene. Science 301 386 389
34. HwangSJ
BeatyT
LiangK
CoreshJ
KhouryM
1994 Minimum sample size estimation to detect gene-environment interaction in case-control designs. Am J Epidemiol 140 1029 1037
35. ElstonR
IduryR
CardonL
LichterJ
1999 The study of candidate genes in drig trials: Sample size considerations. Stat Med 18 741 751
36. DempfleA
ScheradA
HeinR
BeckmannL
Change-ClaudeJ
2008 Gene-environment interactions for complex traits: Definitions, methodological requirements and challenges. Eur J Hum Genet 16 1164 1172
37. TaubesG
1996 Epidemiology faces its limits. Science 269 164 169
38. MooreJ
GilbertJ
TsaiCT
ChiangFT
HoldenT
2006 A flexible computational framework for detecting, characterizing, and interpreting statistical patterns of epistasis in genetic studies of human disease susceptibility. J Theor Biol 241 252 261
39. AnastasssiousD
2007 Computational analysis of the synergy among multiple interacting genes. Mol Syst Biol 3 1 8
40. GoodI
1963 Maximum entropy for hypothesis formulation, especially for multidimensional contingency tables. Ann Math Stat 34 911 934
41. RischN
1990 Linkage strategies for genetically complex traits. I. Multilocus models. Am J Hum Genet 46 222 228
42. PiegorschW
WeinbergC
TaylorJ
1994 Non-hierarchical logistic models and case-only designs for assessing susceptibility in population-based case-control studies. Stat Med 13 153 162
43. HermannR
LipponenK
KiviniemiM
KakkoT
VeijolaR
2006 Lymphoid tyrosine phosphatase (LYP/PTPN22) Arg620Trp variant regulates insulin autoimmunity and progression to type 1 diabetes. Diabetologia 49 1198 1208
44. SteckAK
LiuSY
McFannK
BarrigaKJ
BabuSR
2006 Association of the PTPN22/LYP gene with type 1 diabetes. Pediatr Diabetes 7 274 278
45. SmythD
CooperJ
HowsonJ
WalkerN
PlagnolV
2008 PTPN22 Trp620 explains the association of chromosome 1p13 with type 1 diabetes and shows a statistical interaction with HLA class II genotypes. Diabetes 57 1730 1737
46. BjørnvoldM
UndlienDE
JonerG
Dahl-JørgensenK
NjøstadPR
2008 Joint effects of HLA, INS, PTPN22 and CTLA4 genes on the risk of type 1 diabetes. Diabetologia 51 589 596
Štítky
Genetika Reprodukčná medicínaČlánok vyšiel v časopise
PLOS Genetics
2009 Číslo 7
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