The Multiethnic Cohort (MEC) Study was designed to prospectively investigate the relationship of diet an other lifestyle factors to cancer risk in five ethnic groups (African Americans, Japanese Americans, Latinos Native Hawaiians and Caucasians),and to explore interactions between these risk factors and geneti susceptibility to cancer. Since establishment of the cohort in 1993-96, more than 10 years of follow-up hav accrued on the 215,000 participants, bringing the project to a point where its full potential can now b realized. In the current cycle of support, we are re-administering the baseline questionnaire to obtai updated (10-year) dietary and other information on the subjects (e.g., smoking, physical activity, hormona usage, medications, intercurrent illnesses). We have been analyzing data from the baseline questionnaire both dietary and non-dietary, as well as data on genetic susceptibility and gene-environment interactions Altogether, we have published 50 papers from the cohort since early 2003. We have been among the mos active participants in NCI's Breast and Prostate Cancer Cohort Consortium, and have shared our data wit other members of the consortium, as well as with investigators at outside institutions. For the next 5-yea period, we have several dietary scientific aims, including further research into the basis for ethni differences we observed in diet and cancer relationships, investigation of hypotheses related to dietar constituents recently added to our food composition table (e.g., trans fatty acids, heme iron, glycemic load heterocyclic amines), study of some less common sites (e.g., non-Hodgkin's lymphoma, ovary and kidney) more in-depth subgroup analyses (e.g., by histology and stage), and investigations of the relationship of die to cancer survival. We also have several non-dietary scientific aims, particularly related to investigating as yet unexplainable ethnic differences in breast and lung cancer risk. The important work necessary t maintain the cohort and its several databases will continue, including administration of another short follow up questionnaire and regular enhancements to the unique food composition table. Finally, we will continu to train graduate students and postdoctoral fellows. We expect this research not only to expand knowledg of the role of environmental risk factors and genes in cancer risk, but also to further an understanding of th basis for ethnic/racial disparities in cancer occurrence and survival.

National Institute of Health (NIH)
National Cancer Institute (NCI)
Method to Extend Research in Time (MERIT) Award (R37)
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Special Emphasis Panel (NSS)
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Mahabir, Somdat
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University of Hawaii
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Justice, Anne E (see original citation for additional authors) (2017) Genome-wide meta-analysis of 241,258 adults accounting for smoking behaviour identifies novel loci for obesity traits. Nat Commun 8:14977
Yoneyama, S; Yao, J; Guo, X et al. (2017) Generalization and fine mapping of European ancestry-based central adiposity variants in African ancestry populations. Int J Obes (Lond) 41:324-331
Harmon, Brook E; Wirth, Michael D; Boushey, Carol J et al. (2017) The Dietary Inflammatory Index Is Associated with Colorectal Cancer Risk in the Multiethnic Cohort. J Nutr 147:430-438
Lindström, Sara; Finucane, Hilary; Bulik-Sullivan, Brendan et al. (2017) Quantifying the Genetic Correlation between Multiple Cancer Types. Cancer Epidemiol Biomarkers Prev 26:1427-1435
Chai, Weiwen; Morimoto, Yukiko; Cooney, Robert V et al. (2017) Dietary Red and Processed Meat Intake and Markers of Adiposity and Inflammation: The Multiethnic Cohort Study. J Am Coll Nutr 36:378-385
Wang, Wen; Xu, Zack Z; Costanzo, Michael et al. (2017) Pathway-based discovery of genetic interactions in breast cancer. PLoS Genet 13:e1006973
Hoffman, Joshua D; Graff, Rebecca E; Emami, Nima C et al. (2017) Cis-eQTL-based trans-ethnic meta-analysis reveals novel genes associated with breast cancer risk. PLoS Genet 13:e1006690
Gao, Guimin; Pierce, Brandon L; Olopade, Olufunmilayo I et al. (2017) Trans-ethnic predicted expression genome-wide association analysis identifies a gene for estrogen receptor-negative breast cancer. PLoS Genet 13:e1006727
Mercader, Josep M; Liao, Rachel G; Bell, Avery D et al. (2017) A Loss-of-Function Splice Acceptor Variant in IGF2 Is Protective for Type 2 Diabetes. Diabetes 66:2903-2914
Milne, Roger L (see original citation for additional authors) (2017) Identification of ten variants associated with risk of estrogen-receptor-negative breast cancer. Nat Genet 49:1767-1778

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