Addition of a polygenic risk score, mammographic density, and endogenous hormones to existing breast cancer risk prediction models: A nested case-control study

scientific article published on 04 September 2018

Addition of a polygenic risk score, mammographic density, and endogenous hormones to existing breast cancer risk prediction models: A nested case-control study is …
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scholarly articleQ13442814

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P356DOI10.1371/JOURNAL.PMED.1002644
P932PMC publication ID6122802
P698PubMed publication ID30180161

P50authorWalter C. WillettQ1133904
Graham ColditzQ5592728
A Heather EliassenQ58872929
Bernard A. RosnerQ76570651
Susan E. HankinsonQ76570836
Sara LindstroemQ77022171
Peter KraftQ77526208
Rulla M TamimiQ88477882
Xuehong ZhangQ88882301
Amit D JoshiQ90228066
Shelley S. TworogerQ46915135
P2093author name stringJing Qian
Megan Rice
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P275copyright licenseCreative Commons Attribution 4.0 InternationalQ20007257
P6216copyright statuscopyrightedQ50423863
P433issue9
P407language of work or nameEnglishQ1860
P304page(s)e1002644
P577publication date2018-09-04
P1433published inPLOS MEDICINEQ1686921
P1476titleAddition of a polygenic risk score, mammographic density, and endogenous hormones to existing breast cancer risk prediction models: A nested case-control study
P478volume15

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cites work (P2860)
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Q91975781Systematic expression analysis of WEE family kinases reveals the importance of PKMYT1 in breast carcinogenesis

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