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John Brasure

Researcher at University at Buffalo

Publications -  39
Citations -  4042

John Brasure is an academic researcher from University at Buffalo. The author has contributed to research in topics: Risk factor & Breast cancer. The author has an hindex of 29, co-authored 39 publications receiving 3945 citations. Previous affiliations of John Brasure include State University of New York System & University of Manchester.

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Journal ArticleDOI

Premenopausal Breast Cancer Risk and Intake of Vegetables, Fruits, and Related Nutrients

TL;DR: In this population, intake of vegetables appears to decrease premenopausal breast cancer risk, and this effect may be related to beta-carotene and lutein + zeaxanthin in vegetables.
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Cigarette Smoking, N-Acetyltransferase 2 Genetic Polymorphisms, and Breast Cancer Risk

TL;DR: It is suggested that smoking may be an important risk factor for breast cancer among postmenopausal women who are slow acetylators, demonstrate heterogeneity in response to carcinogenic exposures, and may explain previous inconsistent findings for cigarette smoking as a breast cancer risk factor.
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Smoking, alcohol, dentition and diet in the epidemiology of oral cancer.

TL;DR: Of macronutrients, intake of fat is more likely than those of protein or carbohydrate to be related to risk, while thiamin, niacin, and dietary fibre are associated with decreased risk, and patterns of dietary effects are discernable.
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Diet in the Epidemiology of Postmenopausal Breast Cancer in the New York State Cohort

TL;DR: The findings in three cohort studies as well as in eight substantial case-control studies are negative and suggest that a relation is far from established with risk of breast cancer.
Journal Article

Cytochrome P4501A1 and glutathione S-transferase (M1) genetic polymorphisms and postmenopausal breast cancer risk.

TL;DR: DNA analyses suggested no increased breast cancer risk with the null GSTM1 genotype, although there was some indication that the null genotype was associated with risk among the youngest postmenopausal women, and statistical power to detect an effect may be limited by small numbers, and larger sample sizes would be required.