Nutritional metabolomics and breast cancer risk in a prospective study.

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Using Metabolomics to Explore the Role of Postmenopausal Adiposity in Breast Cancer Risk.A Metabolomics Analysis of Body Mass Index and Postmenopausal Breast Cancer Risk.

P2860

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P2860

Nutritional metabolomics and breast cancer risk in a prospective study.

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http://www.wikidata.org/entity/Q40142103

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2017 nî lūn-bûn

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2017年の論文

@ja

2017年論文

@yue

2017年論文

@zh-hant

2017年論文

@zh-hk

2017年論文

@zh-mo

2017年論文

@zh-tw

2017年论文

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2017年论文

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2017年论文

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Nutritional metabolomics and breast cancer risk in a prospective study.

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Nutritional metabolomics and breast cancer risk in a prospective study.

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Nutritional metabolomics and breast cancer risk in a prospective study.

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P1476

Nutritional metabolomics and breast cancer risk in a prospective study

@en

P2093

Henry J Thompson

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Joshua N Sampson

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Melinda L Irwin

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Rachael Stolzenberg-Solomon

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Regina G Ziegler

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Robert N Hoover

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Susan T Mayne

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P2860

Vitamin and Mineral Supplements in the Primary Prevention of Cardiovascular Disease and Cancer: An Updated Systematic Evidence Review for the U.S. Preventive Services Task Force

Alcohol attributable burden of incidence of cancer in eight European countries based on results from prospective cohort study

Cytoscape: a software environment for integrated models of biomolecular interaction networks

Influence of a diet very high in vegetables, fruit, and fiber and low in fat on prognosis following treatment for breast cancer: the Women's Healthy Eating and Living (WHEL) randomized trial

Dietary fat reduction and breast cancer outcome: interim efficacy results from the Women's Intervention Nutrition Study

Low-fat dietary pattern and risk of invasive breast cancer: the Women's Health Initiative Randomized Controlled Dietary Modification Trial

Dealing with dietary measurement error in nutritional cohort studies

Alcohol Consumption-Related Metabolites in Relation to Colorectal Cancer and Adenoma: Two Case-Control Studies Using Serum Biomarkers.

Is shorter always better? Relative importance of questionnaire length and cognitive ease on response rates and data quality for two dietary questionnaires.

Statistical methods for the analysis of high-throughput metabolomics data.

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637-649

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scholarly article

P356

10.3945/AJCN.116.150912

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P407

English

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P478

106

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P50

Steven C Moore

Mary C Playdon

P577

2017-06-28T00:00:00Z

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28659298

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P932

5525118

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Nutritional metabolomics and breast cancer risk in a prospective study.

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P2860

P2860

Nutritional metabolomics and breast cancer risk in a prospective study.

description

name

type

label

prefLabel

P1433

P1476

P2093

P2860

P304

P31

P356

P407

P433

P478

P50

P577

P698

P932

P356

P1433

P1476

P2093

P2860

P304

P31

P356

P407

P433

P478

P50

P577

P698

P932