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Literature DB >> 22623736

Comment on "the predictive capacity of personal genome sequencing".

Colin B Begg, Malcolm C Pike.

Abstract

Entities: Disease Species

Mesh：

Year: 2012 PMID： 22623736 PMCID： PMC3628545 DOI： 10.1126/scitranslmed.3004162

Source DB: PubMed Journal: Sci Transl Med ISSN： 1946-6234 Impact factor: 17.956

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6 in total

1. Performance of common genetic variants in breast-cancer risk models.

Authors: Sholom Wacholder; Patricia Hartge; Ross Prentice; Montserrat Garcia-Closas; Heather Spencer Feigelson; W Ryan Diver; Michael J Thun; David G Cox; Susan E Hankinson; Peter Kraft; Bernard Rosner; Christine D Berg; Louise A Brinton; Jolanta Lissowska; Mark E Sherman; Rowan Chlebowski; Charles Kooperberg; Rebecca D Jackson; Dennis W Buckman; Peter Hui; Ruth Pfeiffer; Kevin B Jacobs; Gilles D Thomas; Robert N Hoover; Mitchell H Gail; Stephen J Chanock; David J Hunter
Journal: N Engl J Med Date: 2010-03-18 Impact factor: 91.245

2 in total

1. The role of genome sequencing in personalized breast cancer prevention.

Authors: Weiva Sieh; Joseph H Rothstein; Valerie McGuire; Alice S Whittemore
Journal: Cancer Epidemiol Biomarkers Prev Date: 2014-11 Impact factor: 4.254

2. Jumping on the Train of Personalized Medicine: A Primer for Non- Geneticist Clinicians: Part 3. Clinical Applications in the Personalized Medicine Area.

Authors: Aihua Li; David Meyre
Journal: Curr Psychiatry Rev Date: 2014-05

2 in total

Comment on "the predictive capacity of personal genome sequencing".

1. Performance of common genetic variants in breast-cancer risk models.

2. Polygenes, risk prediction, and targeted prevention of breast cancer.

3. The predictive capacity of personal genome sequencing.

4. The search for cancer risk factors: when can we stop looking?

5. Variations in lung cancer risk among smokers.

6. Progress against cancer?

1. The role of genome sequencing in personalized breast cancer prevention.

2. Jumping on the Train of Personalized Medicine: A Primer for Non- Geneticist Clinicians: Part 3. Clinical Applications in the Personalized Medicine Area.