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Items: 15

1.

Developing a clinical utility framework to evaluate prediction models in radiogenomics.

Wu Y, Liu J, Del Rio AM, Page DC, Alagoz O, Peissig P, Onitilo AA, Burnside ES.

Proc SPIE Int Soc Opt Eng. 2015 Feb 21;9416. pii: 941617. Epub 2015 Mar 17.

2.

Associations of Genetic Variants at Nongenic Susceptibility Loci with Breast Cancer Risk and Heterogeneity by Tumor Subtype in Southern Han Chinese Women.

Liang H, Li H, Yang X, Chen L, Zhu A, Sun M, Ye C, Li M.

Biomed Res Int. 2016;2016:3065493. doi: 10.1155/2016/3065493. Epub 2016 Feb 28.

3.

Developing a utility decision framework to evaluate predictive models in breast cancer risk estimation.

Wu Y, Abbey CK, Chen X, Liu J, Page DC, Alagoz O, Peissig P, Onitilo AA, Burnside ES.

J Med Imaging (Bellingham). 2015 Oct;2(4):041005. doi: 10.1117/1.JMI.2.4.041005. Epub 2015 Aug 17.

4.

Mammographic Breast Density and Common Genetic Variants in Breast Cancer Risk Prediction.

Lee CP, Choi H, Soo KC, Tan MH, Chay WY, Chia KS, Liu J, Li J, Hartman M.

PLoS One. 2015 Sep 24;10(9):e0136650. doi: 10.1371/journal.pone.0136650. eCollection 2015.

5.

Prediction models and risk assessment for silicosis using a retrospective cohort study among workers exposed to silica in China.

Tse LA, Dai J, Chen M, Liu Y, Zhang H, Wong TW, Leung CC, Kromhout H, Meijer E, Liu S, Wang F, Yu IT, Shen H, Chen W.

Sci Rep. 2015 Jun 19;5:11059. doi: 10.1038/srep11059.

6.

Evaluation of functional genetic variants at 6q25.1 and risk of breast cancer in a Chinese population.

Wang Y, He Y, Qin Z, Jiang Y, Jin G, Ma H, Dai J, Chen J, Hu Z, Guan X, Shen H.

Breast Cancer Res. 2014 Aug 14;16(4):422. doi: 10.1186/s13058-014-0422-x.

7.

Breast cancer risk assessment using genetic variants and risk factors in a Singapore Chinese population.

Lee CP, Irwanto A, Salim A, Yuan JM, Liu J, Koh WP, Hartman M.

Breast Cancer Res. 2014 Jun 18;16(3):R64. doi: 10.1186/bcr3678.

8.

Common low-penetrance risk variants associated with breast cancer in Polish women.

Ledwoń JK, Hennig EE, Maryan N, Goryca K, Nowakowska D, Niwińska A, Ostrowski J.

BMC Cancer. 2013 Oct 30;13:510. doi: 10.1186/1471-2407-13-510.

9.

Association between 5p12 genomic markers and breast cancer susceptibility: evidence from 19 case-control studies.

Wang X, Zhang L, Chen Z, Ma Y, Zhao Y, Rewuti A, Zhang F, Fu D, Han Y.

PLoS One. 2013 Sep 6;8(9):e73611. doi: 10.1371/journal.pone.0073611. eCollection 2013.

10.

Quantitative assessment of common genetic variants on chromosome 5p12 and hormone receptor status with breast cancer risk.

Yu Y, Chen Z, Wang H, Zhang Y.

PLoS One. 2013 Aug 19;8(8):e72154. doi: 10.1371/journal.pone.0072154. eCollection 2013.

11.

Assessing interactions between common genetic variant on 2q35 and hormone receptor status with breast cancer risk: evidence based on 26 studies.

Huang T, Hong J, Lin W, Yang Q, Ni K, Wu Q, Sun J.

PLoS One. 2013 Aug 16;8(8):e69056. doi: 10.1371/journal.pone.0069056. eCollection 2013.

12.

Quantitative assessment of 2q35-rs13387042 polymorphism and hormone receptor status with breast cancer risk.

Gu C, Zhou L, Yu J.

PLoS One. 2013 Jul 22;8(7):e66979. doi: 10.1371/journal.pone.0066979. Print 2013.

13.

Cumulative risk impact of five genetic variants associated with papillary thyroid carcinoma.

Liyanarachchi S, Wojcicka A, Li W, Czetwertynska M, Stachlewska E, Nagy R, Hoag K, Wen B, Ploski R, Ringel MD, Kozłowicz-Gudzinska I, Gierlikowski W, Jazdzewski K, He H, de la Chapelle A.

Thyroid. 2013 Dec;23(12):1532-40. doi: 10.1089/thy.2013.0102. Epub 2013 Aug 29.

14.

A common polymorphism near the ESR1 gene is associated with risk of breast cancer: evidence from a case-control study and a meta-analysis.

Guo H, Ming J, Liu C, Li Z, Zhang N, Cheng H, Wang W, Shi W, Shen N, Zhao Q, Li D, Yi P, Wang L, Wang R, Xin Y, Zhao X, Nie X, Huang T.

PLoS One. 2012;7(12):e52445. doi: 10.1371/journal.pone.0052445. Epub 2012 Dec 18.

15.

Breast cancer risk and 6q22.33: combined results from Breast Cancer Association Consortium and Consortium of Investigators on Modifiers of BRCA1/2.

Kirchhoff T, Gaudet MM, Antoniou AC, McGuffog L, Humphreys MK, Dunning AM, Bojesen SE, Nordestgaard BG, Flyger H, Kang D, Yoo KY, Noh DY, Ahn SH, Dork T, Schürmann P, Karstens JH, Hillemanns P, Couch FJ, Olson J, Vachon C, Wang X, Cox A, Brock I, Elliott G, Reed MW, Burwinkel B, Meindl A, Brauch H, Hamann U, Ko YD; GENICA Network, Broeks A, Schmidt MK, Van 't Veer LJ, Braaf LM, Johnson N, Fletcher O, Gibson L, Peto J, Turnbull C, Seal S, Renwick A, Rahman N, Wu PE, Yu JC, Hsiung CN, Shen CY, Southey MC, Hopper JL, Hammet F, Van Dorpe T, Dieudonne AS, Hatse S, Lambrechts D, Andrulis IL, Bogdanova N, Antonenkova N, Rogov JI, Prokofieva D, Bermisheva M, Khusnutdinova E, van Asperen CJ, Tollenaar RA, Hooning MJ, Devilee P, Margolin S, Lindblom A, Milne RL, Arias JI, Zamora MP, Benítez J, Severi G, Baglietto L, Giles GG; kConFab; AOCS Study Group, Spurdle AB, Beesley J, Chen X, Holland H, Healey S, Wang-Gohrke S, Chang-Claude J, Mannermaa A, Kosma VM, Kauppinen J, Kataja V, Agnarsson BA, Caligo MA, Godwin AK, Nevanlinna H, Heikkinen T, Fredericksen Z, Lindor N, Nathanson KL, Domchek SM; SWE-BRCA, Loman N, Karlsson P, Stenmark Askmalm M, Melin B, von Wachenfeldt A; HEBON, Hogervorst FB, Verheus M, Rookus MA, Seynaeve C, Oldenburg RA, Ligtenberg MJ, Ausems MG, Aalfs CM, Gille HJ, Wijnen JT, Gómez García EB; EMBRACE, Peock S, Cook M, Oliver CT, Frost D, Luccarini C, Pichert G, Davidson R, Chu C, Eccles D, Ong KR, Cook J, Douglas F, Hodgson S, Evans DG, Eeles R, Gold B, Pharoah PD, Offit K, Chenevix-Trench G, Easton DF; BCAC/CIMBA.

PLoS One. 2012;7(6):e35706. doi: 10.1371/journal.pone.0035706. Epub 2012 Jun 29.

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