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Items: 1 to 20 of 77

1.

Incorporation of a genetic factor into an epidemiologic model for prediction of individual risk of lung cancer: the Liverpool Lung Project.

Raji OY, Agbaje OF, Duffy SW, Cassidy A, Field JK.

Cancer Prev Res (Phila). 2010 May;3(5):664-9. doi: 10.1158/1940-6207.CAPR-09-0141. Epub 2010 Apr 27.

2.

Seizure 6-like (SEZ6L) gene and risk for lung cancer.

Gorlov IP, Meyer P, Liloglou T, Myles J, Boettger MB, Cassidy A, Girard L, Minna JD, Fischer R, Duffy S, Spitz MR, Haeussinger K, Kammerer S, Cantor C, Dierkesmann R, Field JK, Amos CI.

Cancer Res. 2007 Sep 1;67(17):8406-11.

3.

Incorporating epistasis interaction of genetic susceptibility single nucleotide polymorphisms in a lung cancer risk prediction model.

Marcus MW, Raji OY, Duffy SW, Young RP, Hopkins RJ, Field JK.

Int J Oncol. 2016 Jul;49(1):361-70. doi: 10.3892/ijo.2016.3499. Epub 2016 Apr 25.

4.

[Genome-wide association study based risk prediction model in predicting lung cancer risk in Chinese].

Zhu M, Cheng Y, Dai J, Xie L, Jin G, Ma H, Hu Z, Shi Y, Lin D, Shen H.

Zhonghua Liu Xing Bing Xue Za Zhi. 2015 Oct;36(10):1047-52. Chinese.

PMID:
26837341
5.

Assessment of clinical validity of a breast cancer risk model combining genetic and clinical information.

Mealiffe ME, Stokowski RP, Rhees BK, Prentice RL, Pettinger M, Hinds DA.

J Natl Cancer Inst. 2010 Nov 3;102(21):1618-27. doi: 10.1093/jnci/djq388. Epub 2010 Oct 18.

6.

Predictive accuracy of the Liverpool Lung Project risk model for stratifying patients for computed tomography screening for lung cancer: a case-control and cohort validation study.

Raji OY, Duffy SW, Agbaje OF, Baker SG, Christiani DC, Cassidy A, Field JK.

Ann Intern Med. 2012 Aug 21;157(4):242-50. doi: 10.7326/0003-4819-157-4-201208210-00004.

7.

The Liverpool Lung Project research protocol.

Field JK, Smith DL, Duffy S, Cassidy A.

Int J Oncol. 2005 Dec;27(6):1633-45.

PMID:
16273220
8.

Incremental value of pulmonary function and sputum DNA image cytometry in lung cancer risk prediction.

Tammemagi MC, Lam SC, McWilliams AM, Sin DD.

Cancer Prev Res (Phila). 2011 Apr;4(4):552-61. doi: 10.1158/1940-6207.CAPR-10-0183. Epub 2011 Mar 16.

9.

Prediction of lung cancer risk in a Chinese population using a multifactorial genetic model.

Li H, Yang L, Zhao X, Wang J, Qian J, Chen H, Fan W, Liu H, Jin L, Wang W, Lu D.

BMC Med Genet. 2012 Dec 10;13:118. doi: 10.1186/1471-2350-13-118.

10.

An expanded risk prediction model for lung cancer.

Spitz MR, Etzel CJ, Dong Q, Amos CI, Wei Q, Wu X, Hong WK.

Cancer Prev Res (Phila). 2008 Sep;1(4):250-4. doi: 10.1158/1940-6207.CAPR-08-0060.

11.

Lung Cancer Risk Prediction Using Common SNPs Located in GWAS-Identified Susceptibility Regions.

Weissfeld JL, Lin Y, Lin HM, Kurland BF, Wilson DO, Fuhrman CR, Pennathur A, Romkes M, Nukui T, Yuan JM, Siegfried JM, Diergaarde B.

J Thorac Oncol. 2015 Nov;10(11):1538-45. doi: 10.1097/JTO.0000000000000666.

12.
13.

Identification of a 428-kb homozygously deleted region disrupting the SEZ6L gene at 22q12.1 in a lung cancer cell line.

Nishioka M, Kohno T, Takahashi M, Niki T, Yamada T, Sone S, Yokota J.

Oncogene. 2000 Dec 14;19(54):6251-60.

14.

The LLP risk model: an individual risk prediction model for lung cancer.

Cassidy A, Myles JP, van Tongeren M, Page RD, Liloglou T, Duffy SW, Field JK.

Br J Cancer. 2008 Jan 29;98(2):270-6. Epub 2007 Dec 18.

15.

Breast Cancer Risk Prediction Using Clinical Models and 77 Independent Risk-Associated SNPs for Women Aged Under 50 Years: Australian Breast Cancer Family Registry.

Dite GS, MacInnis RJ, Bickerstaffe A, Dowty JG, Allman R, Apicella C, Milne RL, Tsimiklis H, Phillips KA, Giles GG, Terry MB, Southey MC, Hopper JL.

Cancer Epidemiol Biomarkers Prev. 2016 Feb;25(2):359-65. doi: 10.1158/1055-9965.EPI-15-0838. Epub 2015 Dec 16.

16.

A multilocus genetic risk score predicts coronary heart disease risk in a Chinese Han population.

Gui L, Wu F, Han X, Dai X, Qiu G, Li J, Wang J, Zhang X, Wu T, He M.

Atherosclerosis. 2014 Dec;237(2):480-5. doi: 10.1016/j.atherosclerosis.2014.09.032. Epub 2014 Oct 18.

PMID:
25463077
17.

An individual risk prediction model for lung cancer based on a study in a Chinese population.

Wang X, Ma K, Cui J, Chen X, Jin L, Li W.

Tumori. 2015 Jan-Feb;101(1):16-23. doi: 10.5301/tj.5000205. Epub 2015 Feb 14.

PMID:
25702657
18.

Risk prediction of esophageal squamous-cell carcinoma with common genetic variants and lifestyle factors in Chinese population.

Chang J, Huang Y, Wei L, Ma B, Miao X, Li Y, Hu Z, Yu D, Jia W, Liu Y, Tan W, He Z, Ke Y, Wu T, Shen H, Zeng Y, Wu C, Lin D.

Carcinogenesis. 2013 Aug;34(8):1782-6. doi: 10.1093/carcin/bgt106. Epub 2013 Mar 27.

PMID:
23536576
19.

Association of environmental and genetic factors and gene-environment interactions with risk of developing rheumatoid arthritis.

Karlson EW, Ding B, Keenan BT, Liao K, Costenbader KH, Klareskog L, Alfredsson L, Chibnik LB.

Arthritis Care Res (Hoboken). 2013 Jul;65(7):1147-56. doi: 10.1002/acr.22005.

20.

Utility of genetic and non-genetic risk factors in prediction of type 2 diabetes: Whitehall II prospective cohort study.

Talmud PJ, Hingorani AD, Cooper JA, Marmot MG, Brunner EJ, Kumari M, Kivimäki M, Humphries SE.

BMJ. 2010 Jan 14;340:b4838. doi: 10.1136/bmj.b4838.

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