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Items: 1 to 20 of 169

1.

Risk, Prediction and Prevention of Hereditary Breast Cancer - Large-Scale Genomic Studies in Times of Big and Smart Data.

Wunderle M, Olmes G, Nabieva N, Häberle L, Jud SM, Hein A, Rauh C, Hack CC, Erber R, Ekici AB, Hoyer J, Vasileiou G, Kraus C, Reis A, Hartmann A, Schulz-Wendtland R, Lux MP, Beckmann MW, Fasching PA.

Geburtshilfe Frauenheilkd. 2018 May;78(5):481-492. doi: 10.1055/a-0603-4350. Epub 2018 Jun 4.

2.

Quantifying predictive capability of electronic health records for the most harmful breast cancer.

Wu Y, Fan J, Peissig P, Berg R, Tafti AP, Yin J, Yuan M, Page D, Cox J, Burnside ES.

Proc SPIE Int Soc Opt Eng. 2018 Feb;10577. pii: 105770J. doi: 10.1117/12.2293954. Epub 2018 Mar 7.

3.

Precision Therapy of Head and Neck Squamous Cell Carcinoma.

Polverini PJ, D'Silva NJ, Lei YL.

J Dent Res. 2018 Jun;97(6):614-621. doi: 10.1177/0022034518769645. Epub 2018 Apr 12.

PMID:
29649374
4.

Semiparametric analysis of complex polygenic gene-environment interactions in case-control studies.

Stalder O, Asher A, Liang L, Carroll RJ, Ma Y, Chatterjee N.

Biometrika. 2017 Dec;104(4):801-812. doi: 10.1093/biomet/asx045. Epub 2017 Sep 15.

5.

Anticipated health behaviour changes and perceived control in response to disclosure of genetic risk of breast and ovarian cancer: a quantitative survey study among women in the UK.

Meisel SF, Fraser LSM, Side L, Gessler S, Hann KEJ, Wardle J, Lanceley A; PROMISE study team.

BMJ Open. 2017 Dec 22;7(12):e017675. doi: 10.1136/bmjopen-2017-017675.

6.

Predictive accuracy of combined genetic and environmental risk scores.

Dudbridge F, Pashayan N, Yang J.

Genet Epidemiol. 2018 Feb;42(1):4-19. doi: 10.1002/gepi.22092. Epub 2017 Nov 26.

7.

Functional germline variants as potential co-oncogenes.

Agarwal D, Nowak C, Zhang NR, Pusztai L, Hatzis C.

NPJ Breast Cancer. 2017 Nov 22;3:46. doi: 10.1038/s41523-017-0051-5. eCollection 2017. Review.

8.

Genetic and environmental factors and serum hormones, and risk of estrogen receptor-positive breast cancer in pre- and postmenopausal Japanese women.

Guo J, Sueta A, Nakamura K, Yoshimoto N, Baba M, Ishida N, Hagio K, Toyama T, Iwase H, Tamakoshi A, Yamashita H.

Oncotarget. 2017 Aug 11;8(39):65759-65769. doi: 10.18632/oncotarget.20182. eCollection 2017 Sep 12.

9.

Risk assessment models for genetic risk predictors of lung cancer using two-stage replication for Asian and European populations.

Cheng Y, Jiang T, Zhu M, Li Z, Zhang J, Wang Y, Geng L, Liu J, Shen W, Wang C, Hu Z, Jin G, Ma H, Shen H, Dai J.

Oncotarget. 2016 Jul 5;8(33):53959-53967. doi: 10.18632/oncotarget.10403. eCollection 2017 Aug 15.

10.

The MUC5B promoter polymorphism is associated with specific interstitial lung abnormality subtypes.

Putman RK, Gudmundsson G, Araki T, Nishino M, Sigurdsson S, Gudmundsson EF, Eiríksdottír G, Aspelund T, Ross JC, San José Estépar R, Miller ER, Yamada Y, Yanagawa M, Tomiyama N, Launer LJ, Harris TB, El-Chemaly S, Raby BA, Cho MH, Rosas IO, Washko GR, Schwartz DA, Silverman EK, Gudnason V, Hatabu H, Hunninghake GM.

Eur Respir J. 2017 Sep 11;50(3). pii: 1700537. doi: 10.1183/13993003.00537-2017. Print 2017 Sep.

11.

Leveraging Multi-ethnic Evidence for Risk Assessment of Quantitative Traits in Minority Populations.

Coram MA, Fang H, Candille SI, Assimes TL, Tang H.

Am J Hum Genet. 2017 Aug 3;101(2):218-226. doi: 10.1016/j.ajhg.2017.06.015. Epub 2017 Jul 27. Erratum in: Am J Hum Genet. 2017 Oct 5;101(4):638.

12.

Structure-Leveraged Methods in Breast Cancer Risk Prediction.

Fan J, Wu Y, Yuan M, Page D, Liu J, Ong IM, Peissig P, Burnside E.

J Mach Learn Res. 2016 Dec;17. pii: 85.

13.

The value of FATS expression in predicting sensitivity to radiotherapy in breast cancer.

Zhang J, Wu N, Zhang T, Sun T, Su Y, Zhao J, Mu K, Jin Z, Gao M, Liu J, Gu L.

Oncotarget. 2017 Jun 13;8(24):38491-38500. doi: 10.18632/oncotarget.16630.

14.

What Does "Precision Medicine" Have to Say About Prevention?

Thomas DC.

Epidemiology. 2017 Jul;28(4):479-483. doi: 10.1097/EDE.0000000000000667. No abstract available.

15.

Prediction of Quantitative Traits Using Common Genetic Variants: Application to Body Mass Index.

Bae S, Choi S, Kim SM, Park T.

Genomics Inform. 2016 Dec;14(4):149-159. doi: 10.5808/GI.2016.14.4.149. Epub 2016 Dec 30.

16.

Risk Prediction Using Genome-Wide Association Studies on Type 2 Diabetes.

Choi S, Bae S, Park T.

Genomics Inform. 2016 Dec;14(4):138-148. doi: 10.5808/GI.2016.14.4.138. Epub 2016 Dec 30.

17.

Using Breast Cancer Risk Associated Polymorphisms to Identify Women for Breast Cancer Chemoprevention.

Ziv E, Tice JA, Sprague B, Vachon CM, Cummings SR, Kerlikowske K.

PLoS One. 2017 Jan 20;12(1):e0168601. doi: 10.1371/journal.pone.0168601. eCollection 2017.

18.
19.

Impact of a Panel of 88 Single Nucleotide Polymorphisms on the Risk of Breast Cancer in High-Risk Women: Results From Two Randomized Tamoxifen Prevention Trials.

Cuzick J, Brentnall AR, Segal C, Byers H, Reuter C, Detre S, Lopez-Knowles E, Sestak I, Howell A, Powles TJ, Newman WG, Dowsett M.

J Clin Oncol. 2017 Mar;35(7):743-750. doi: 10.1200/JCO.2016.69.8944. Epub 2016 Dec 28.

20.

Enhancing the Informativeness and Replicability of Imaging Genomics Studies.

Carter CS, Bearden CE, Bullmore ET, Geschwind DH, Glahn DC, Gur RE, Meyer-Lindenberg A, Weinberger DR.

Biol Psychiatry. 2017 Aug 1;82(3):157-164. doi: 10.1016/j.biopsych.2016.08.019. Epub 2016 Aug 20. Review.

PMID:
27793332

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