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Evidence of differential effects of vitamin d receptor variants on epithelial ovarian cancer risk by predicted vitamin d status.

Frontiers in oncology

Prescott J, Bertrand KA, Reid BM, Permuth-Wey J, De Vivo I, Cramer DW, Terry KL, Tworoger SS.
PMID: 25368842
Front Oncol. 2014 Oct 20;4:286. doi: 10.3389/fonc.2014.00286. eCollection 2014.

INTRODUCTION: Experimental studies suggest vitamin D inhibits ovarian carcinogenesis. Yet, epidemiologic studies of ovarian cancer risk and lifestyle correlates of vitamin D status, plasma 25-hydroxyvitamin D [25(OH)D], or vitamin D receptor (VDR) variants have been inconsistent.OBJECTIVE: To evaluate VDR...

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Prescott J, Bertrand KA, Reid BM, et al. Evidence of differential effects of vitamin d receptor variants on epithelial ovarian cancer risk by predicted vitamin d status. Front Oncol. 2014;4:286doi: 10.3389/fonc.2014.00286.
Prescott, J., Bertrand, K. A., Reid, B. M., Permuth-Wey, J., De Vivo, I., Cramer, D. W., Terry, K. L., & Tworoger, S. S. (2014). Evidence of differential effects of vitamin d receptor variants on epithelial ovarian cancer risk by predicted vitamin d status. Frontiers in oncology, 4286. https://doi.org/10.3389/fonc.2014.00286
Prescott, Jennifer, et al. "Evidence of differential effects of vitamin d receptor variants on epithelial ovarian cancer risk by predicted vitamin d status." Frontiers in oncology vol. 4 (2014): 286. doi: https://doi.org/10.3389/fonc.2014.00286
Prescott J, Bertrand KA, Reid BM, Permuth-Wey J, De Vivo I, Cramer DW, Terry KL, Tworoger SS. Evidence of differential effects of vitamin d receptor variants on epithelial ovarian cancer risk by predicted vitamin d status. Front Oncol. 2014 Oct 20;4:286. doi: 10.3389/fonc.2014.00286. eCollection 2014. PMID: 25368842; PMCID: PMC4202710.
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Prolactin and Risk of Epithelial Ovarian Cancer.

Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology

Hathaway CA, Rice MS, Townsend MK, Hankinson SE, Arslan AA, Buring JE, Hallmans G, Idahl A, Kubzansky LD, Lee IM, Lundin EA, Sluss PM, Zeleniuch-Jacquotte A, Tworoger SS.
PMID: 34244157
Cancer Epidemiol Biomarkers Prev. 2021 Sep;30(9):1652-1659. doi: 10.1158/1055-9965.EPI-21-0139. Epub 2021 Jul 08.

BACKGROUND: Prolactin is synthesized in the ovaries and may play a role in ovarian cancer etiology. One prior prospective study observed a suggestive positive association between prolactin levels and risk of ovarian cancer.METHODS: We conducted a pooled case-control study...

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Hathaway CA, Rice MS, Townsend MK, et al. Prolactin and Risk of Epithelial Ovarian Cancer. Cancer Epidemiol Biomarkers Prev. 2021;30(9):1652-1659doi: 10.1158/1055-9965.EPI-21-0139.
Hathaway, C. A., Rice, M. S., Townsend, M. K., Hankinson, S. E., Arslan, A. A., Buring, J. E., Hallmans, G., Idahl, A., Kubzansky, L. D., Lee, I. M., Lundin, E. A., Sluss, P. M., Zeleniuch-Jacquotte, A., & Tworoger, S. S. (2021). Prolactin and Risk of Epithelial Ovarian Cancer. Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology, 30(9), 1652-1659. https://doi.org/10.1158/1055-9965.EPI-21-0139
Hathaway, Cassandra A, et al. "Prolactin and Risk of Epithelial Ovarian Cancer." Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology vol. 30,9 (2021): 1652-1659. doi: https://doi.org/10.1158/1055-9965.EPI-21-0139
Hathaway CA, Rice MS, Townsend MK, Hankinson SE, Arslan AA, Buring JE, Hallmans G, Idahl A, Kubzansky LD, Lee IM, Lundin EA, Sluss PM, Zeleniuch-Jacquotte A, Tworoger SS. Prolactin and Risk of Epithelial Ovarian Cancer. Cancer Epidemiol Biomarkers Prev. 2021 Sep;30(9):1652-1659. doi: 10.1158/1055-9965.EPI-21-0139. Epub 2021 Jul 08. PMID: 34244157; PMCID: PMC8419083.
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Automated percent mammographic density, mammographic texture variation, and risk of breast cancer: a nested case-control study.

NPJ breast cancer

Warner ET, Rice MS, Zeleznik OA, Fowler EE, Murthy D, Vachon CM, Bertrand KA, Rosner BA, Heine J, Tamimi RM.
PMID: 34059687
NPJ Breast Cancer. 2021 May 31;7(1):68. doi: 10.1038/s41523-021-00272-2.

Percent mammographic density (PMD) is a strong breast cancer risk factor, however, other mammographic features, such as V, the standard deviation (SD) of pixel intensity, may be associated with risk. We assessed whether PMD, automated PMD (APD), and V,...

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Warner ET, Rice MS, Zeleznik OA, et al. Automated percent mammographic density, mammographic texture variation, and risk of breast cancer: a nested case-control study. NPJ Breast Cancer. 2021;7(1):68doi: 10.1038/s41523-021-00272-2.
Warner, E. T., Rice, M. S., Zeleznik, O. A., Fowler, E. E., Murthy, D., Vachon, C. M., Bertrand, K. A., Rosner, B. A., Heine, J., & Tamimi, R. M. (2021). Automated percent mammographic density, mammographic texture variation, and risk of breast cancer: a nested case-control study. NPJ breast cancer, 7(1), 68. https://doi.org/10.1038/s41523-021-00272-2
Warner, Erica T, et al. "Automated percent mammographic density, mammographic texture variation, and risk of breast cancer: a nested case-control study." NPJ breast cancer vol. 7,1 (2021): 68. doi: https://doi.org/10.1038/s41523-021-00272-2
Warner ET, Rice MS, Zeleznik OA, Fowler EE, Murthy D, Vachon CM, Bertrand KA, Rosner BA, Heine J, Tamimi RM. Automated percent mammographic density, mammographic texture variation, and risk of breast cancer: a nested case-control study. NPJ Breast Cancer. 2021 May 31;7(1):68. doi: 10.1038/s41523-021-00272-2. PMID: 34059687; PMCID: PMC8166859.
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Novel genetic variants of .

American journal of cancer research

Lu G, Zhou B, He Y, Liu H, Luo S, Amos CI, Lee JE, Yang K, Qureshi A, Han J, Wei Q.
PMID: 33163277
Am J Cancer Res. 2020 Oct 01;10(10):3382-3394. eCollection 2020.

Endosomes regulate cell polarity, adhesion, signaling, immunity, and tumor progression, which may influence cancer outcomes. Here we evaluated associations between 36,068 genetic variants of 228 endosome-related pathway genes and cutaneous melanoma disease-specific survival (CMSS) using genotyping data from two...

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Lu G, Zhou B, He Y, et al. Novel genetic variants of . Am J Cancer Res. 2020;10(10):3382-3394
Lu, G., Zhou, B., He, Y., Liu, H., Luo, S., Amos, C. I., Lee, J. E., Yang, K., Qureshi, A., Han, J., & Wei, Q. (2020). Novel genetic variants of . American journal of cancer research, 10(10), 3382-3394.
Lu, Guiqing, et al. "Novel genetic variants of ." American journal of cancer research vol. 10,10 (2020): 3382-3394.
Lu G, Zhou B, He Y, Liu H, Luo S, Amos CI, Lee JE, Yang K, Qureshi A, Han J, Wei Q. Novel genetic variants of . Am J Cancer Res. 2020 Oct 01;10(10):3382-3394. eCollection 2020. PMID: 33163277; PMCID: PMC7642651.
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Reply: Plant-Based Diet, Gut Microbiota, and Bioavailability of Lignans.

Journal of the American College of Cardiology

Hu Y, Sun Q.
PMID: 34886975
J Am Coll Cardiol. 2021 Dec 14;78(24):e313. doi: 10.1016/j.jacc.2021.10.007.

No abstract available.

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Hu Y, Sun Q. Reply: Plant-Based Diet, Gut Microbiota, and Bioavailability of Lignans. J Am Coll Cardiol. 2021;78(24):e313doi: 10.1016/j.jacc.2021.10.007.
Hu, Y., & Sun, Q. (2021). Reply: Plant-Based Diet, Gut Microbiota, and Bioavailability of Lignans. Journal of the American College of Cardiology, 78(24), e313. https://doi.org/10.1016/j.jacc.2021.10.007
Hu, Yang, and Sun, Qi. "Reply: Plant-Based Diet, Gut Microbiota, and Bioavailability of Lignans." Journal of the American College of Cardiology vol. 78,24 (2021): e313. doi: https://doi.org/10.1016/j.jacc.2021.10.007
Hu Y, Sun Q. Reply: Plant-Based Diet, Gut Microbiota, and Bioavailability of Lignans. J Am Coll Cardiol. 2021 Dec 14;78(24):e313. doi: 10.1016/j.jacc.2021.10.007. PMID: 34886975.
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Genome-Wide Gene-Diabetes and Gene-Obesity Interaction Scan in 8,255 Cases and 11,900 Controls from PanScan and PanC4 Consortia.

Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology

Tang H, Jiang L, Stolzenberg-Solomon RZ, Arslan AA, Beane Freeman LE, Bracci PM, Brennan P, Canzian F, Du M, Gallinger S, Giles GG, Goodman PJ, Kooperberg C, Le Marchand L, Neale RE, Shu XO, Visvanathan K, White E, Zheng W, Albanes D, Andreotti G, Babic A, Bamlet WR, Berndt SI, Blackford A, Bueno-de-Mesquita B, Buring JE, Campa D, Chanock SJ, Childs E, Duell EJ, Fuchs C, Gaziano JM, Goggins M, Hartge P, Hassam MH, Holly EA, Hoover RN, Hung RJ, Kurtz RC, Lee IM, Malats N, Milne RL, Ng K, Oberg AL, Orlow I, Peters U, Porta M, Rabe KG, Rothman N, Scelo G, Sesso HD, Silverman DT, Thompson IM, Tjønneland A, Trichopoulou A, Wactawski-Wende J, Wentzensen N, Wilkens LR, Yu H, Zeleniuch-Jacquotte A, Amundadottir LT, Jacobs EJ, Petersen GM, Wolpin BM, Risch HA, Chatterjee N, Klein AP, Li D, Kraft P, Wei P.
PMID: 32546605
Cancer Epidemiol Biomarkers Prev. 2020 Sep;29(9):1784-1791. doi: 10.1158/1055-9965.EPI-20-0275. Epub 2020 Jun 16.

BACKGROUND: Obesity and diabetes are major modifiable risk factors for pancreatic cancer. Interactions between genetic variants and diabetes/obesity have not previously been comprehensively investigated in pancreatic cancer at the genome-wide level.METHODS: We conducted a gene-environment interaction (GxE) analysis including...

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Tang H, Jiang L, Stolzenberg-Solomon RZ, et al. Genome-Wide Gene-Diabetes and Gene-Obesity Interaction Scan in 8,255 Cases and 11,900 Controls from PanScan and PanC4 Consortia. Cancer Epidemiol Biomarkers Prev. 2020;29(9):1784-1791doi: 10.1158/1055-9965.EPI-20-0275.
Tang, H., Jiang, L., Stolzenberg-Solomon, R. Z., Arslan, A. A., Beane Freeman, L. E., Bracci, P. M., Brennan, P., Canzian, F., Du, M., Gallinger, S., Giles, G. G., Goodman, P. J., Kooperberg, C., Le Marchand, L., Neale, R. E., Shu, X. O., Visvanathan, K., White, E., Zheng, W., Albanes, D., Andreotti, G., Babic, A., Bamlet, W. R., Berndt, S. I., Blackford, A., Bueno-de-Mesquita, B., Buring, J. E., Campa, D., Chanock, S. J., Childs, E., Duell, E. J., Fuchs, C., Gaziano, J. M., Goggins, M., Hartge, P., Hassam, M. H., Holly, E. A., Hoover, R. N., Hung, R. J., Kurtz, R. C., Lee, I. M., Malats, N., Milne, R. L., Ng, K., Oberg, A. L., Orlow, I., Peters, U., Porta, M., Rabe, K. G., Rothman, N., Scelo, G., Sesso, H. D., Silverman, D. T., Thompson, I. M., Tjønneland, A., Trichopoulou, A., Wactawski-Wende, J., Wentzensen, N., Wilkens, L. R., Yu, H., Zeleniuch-Jacquotte, A., Amundadottir, L. T., Jacobs, E. J., Petersen, G. M., Wolpin, B. M., Risch, H. A., Chatterjee, N., Klein, A. P., Li, D., Kraft, P., & Wei, P. (2020). Genome-Wide Gene-Diabetes and Gene-Obesity Interaction Scan in 8,255 Cases and 11,900 Controls from PanScan and PanC4 Consortia. Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology, 29(9), 1784-1791. https://doi.org/10.1158/1055-9965.EPI-20-0275
Tang, Hongwei, et al. "Genome-Wide Gene-Diabetes and Gene-Obesity Interaction Scan in 8,255 Cases and 11,900 Controls from PanScan and PanC4 Consortia." Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology vol. 29,9 (2020): 1784-1791. doi: https://doi.org/10.1158/1055-9965.EPI-20-0275
Tang H, Jiang L, Stolzenberg-Solomon RZ, Arslan AA, Beane Freeman LE, Bracci PM, Brennan P, Canzian F, Du M, Gallinger S, Giles GG, Goodman PJ, Kooperberg C, Le Marchand L, Neale RE, Shu XO, Visvanathan K, White E, Zheng W, Albanes D, Andreotti G, Babic A, Bamlet WR, Berndt SI, Blackford A, Bueno-de-Mesquita B, Buring JE, Campa D, Chanock SJ, Childs E, Duell EJ, Fuchs C, Gaziano JM, Goggins M, Hartge P, Hassam MH, Holly EA, Hoover RN, Hung RJ, Kurtz RC, Lee IM, Malats N, Milne RL, Ng K, Oberg AL, Orlow I, Peters U, Porta M, Rabe KG, Rothman N, Scelo G, Sesso HD, Silverman DT, Thompson IM, Tjønneland A, Trichopoulou A, Wactawski-Wende J, Wentzensen N, Wilkens LR, Yu H, Zeleniuch-Jacquotte A, Amundadottir LT, Jacobs EJ, Petersen GM, Wolpin BM, Risch HA, Chatterjee N, Klein AP, Li D, Kraft P, Wei P. Genome-Wide Gene-Diabetes and Gene-Obesity Interaction Scan in 8,255 Cases and 11,900 Controls from PanScan and PanC4 Consortia. Cancer Epidemiol Biomarkers Prev. 2020 Sep;29(9):1784-1791. doi: 10.1158/1055-9965.EPI-20-0275. Epub 2020 Jun 16. PMID: 32546605; PMCID: PMC7483330.
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Germline Pathogenic Variants in Cancer Predisposition Genes Among Women With Invasive Lobular Carcinoma of the Breast.

Journal of clinical oncology : official journal of the American Society of Clinical Oncology

Yadav S, Hu C, Nathanson KL, Weitzel JN, Goldgar DE, Kraft P, Gnanaolivu RD, Na J, Huang H, Boddicker NJ, Larson N, Gao C, Yao S, Weinberg C, Vachon CM, Trentham-Dietz A, Taylor JA, Sandler DR, Patel A, Palmer JR, Olson JE, Neuhausen S, Martinez E, Lindstrom S, Lacey JV, Kurian AW, John EM, Haiman C, Bernstein L, Auer PW, Anton-Culver H, Ambrosone CB, Karam R, Chao E, Yussuf A, Pesaran T, Dolinsky JS, Hart SN, LaDuca H, Polley EC, Domchek SM, Couch FJ.
PMID: 34672684
J Clin Oncol. 2021 Dec 10;39(35):3918-3926. doi: 10.1200/JCO.21.00640. Epub 2021 Oct 21.

PURPOSE: To determine the contribution of germline pathogenic variants (PVs) in hereditary cancer testing panel genes to invasive lobular carcinoma (ILC) of the breast.MATERIALS AND METHODS: The study included 2,999 women with ILC from a population-based cohort and 3,796...

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Yadav S, Hu C, Nathanson KL, et al. Germline Pathogenic Variants in Cancer Predisposition Genes Among Women With Invasive Lobular Carcinoma of the Breast. J Clin Oncol. 2021;39(35):3918-3926doi: 10.1200/JCO.21.00640.
Yadav, S., Hu, C., Nathanson, K. L., Weitzel, J. N., Goldgar, D. E., Kraft, P., Gnanaolivu, R. D., Na, J., Huang, H., Boddicker, N. J., Larson, N., Gao, C., Yao, S., Weinberg, C., Vachon, C. M., Trentham-Dietz, A., Taylor, J. A., Sandler, D. R., Patel, A., Palmer, J. R., Olson, J. E., Neuhausen, S., Martinez, E., Lindstrom, S., Lacey, J. V., Kurian, A. W., John, E. M., Haiman, C., Bernstein, L., Auer, P. W., Anton-Culver, H., Ambrosone, C. B., Karam, R., Chao, E., Yussuf, A., Pesaran, T., Dolinsky, J. S., Hart, S. N., LaDuca, H., Polley, E. C., Domchek, S. M., & Couch, F. J. (2021). Germline Pathogenic Variants in Cancer Predisposition Genes Among Women With Invasive Lobular Carcinoma of the Breast. Journal of clinical oncology : official journal of the American Society of Clinical Oncology, 39(35), 3918-3926. https://doi.org/10.1200/JCO.21.00640
Yadav, Siddhartha, et al. "Germline Pathogenic Variants in Cancer Predisposition Genes Among Women With Invasive Lobular Carcinoma of the Breast." Journal of clinical oncology : official journal of the American Society of Clinical Oncology vol. 39,35 (2021): 3918-3926. doi: https://doi.org/10.1200/JCO.21.00640
Yadav S, Hu C, Nathanson KL, Weitzel JN, Goldgar DE, Kraft P, Gnanaolivu RD, Na J, Huang H, Boddicker NJ, Larson N, Gao C, Yao S, Weinberg C, Vachon CM, Trentham-Dietz A, Taylor JA, Sandler DR, Patel A, Palmer JR, Olson JE, Neuhausen S, Martinez E, Lindstrom S, Lacey JV, Kurian AW, John EM, Haiman C, Bernstein L, Auer PW, Anton-Culver H, Ambrosone CB, Karam R, Chao E, Yussuf A, Pesaran T, Dolinsky JS, Hart SN, LaDuca H, Polley EC, Domchek SM, Couch FJ. Germline Pathogenic Variants in Cancer Predisposition Genes Among Women With Invasive Lobular Carcinoma of the Breast. J Clin Oncol. 2021 Dec 10;39(35):3918-3926. doi: 10.1200/JCO.21.00640. Epub 2021 Oct 21. PMID: 34672684; PMCID: PMC8660003.
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Prediagnostic Inflammation and Pancreatic Cancer Survival.

Journal of the National Cancer Institute

Yuan C, Morales-Oyarvide V, Khalaf N, Perez K, Tabung FK, Ho GYF, Kooperberg C, Shadyab AH, Qi L, Kraft P, Sesso HD, Giovannucci EL, Manson JE, Stampfer MJ, Ng K, Fuchs CS, Wolpin BM, Babic A.
PMID: 33739411
J Natl Cancer Inst. 2021 Sep 04;113(9):1186-1193. doi: 10.1093/jnci/djab040.

BACKGROUND: Chronic inflammation may promote initiation and progression of pancreatic cancer, but no studies have examined the association between inflammation in the period before diagnosis and pancreatic cancer survival.METHODS: We prospectively examined the association of prediagnostic plasma levels of...

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Yuan C, Morales-Oyarvide V, Khalaf N, et al. Prediagnostic Inflammation and Pancreatic Cancer Survival. J Natl Cancer Inst. 2021;113(9):1186-1193doi: 10.1093/jnci/djab040.
Yuan, C., Morales-Oyarvide, V., Khalaf, N., Perez, K., Tabung, F. K., Ho, G. Y. F., Kooperberg, C., Shadyab, A. H., Qi, L., Kraft, P., Sesso, H. D., Giovannucci, E. L., Manson, J. E., Stampfer, M. J., Ng, K., Fuchs, C. S., Wolpin, B. M., & Babic, A. (2021). Prediagnostic Inflammation and Pancreatic Cancer Survival. Journal of the National Cancer Institute, 113(9), 1186-1193. https://doi.org/10.1093/jnci/djab040
Yuan, Chen, et al. "Prediagnostic Inflammation and Pancreatic Cancer Survival." Journal of the National Cancer Institute vol. 113,9 (2021): 1186-1193. doi: https://doi.org/10.1093/jnci/djab040
Yuan C, Morales-Oyarvide V, Khalaf N, Perez K, Tabung FK, Ho GYF, Kooperberg C, Shadyab AH, Qi L, Kraft P, Sesso HD, Giovannucci EL, Manson JE, Stampfer MJ, Ng K, Fuchs CS, Wolpin BM, Babic A. Prediagnostic Inflammation and Pancreatic Cancer Survival. J Natl Cancer Inst. 2021 Sep 04;113(9):1186-1193. doi: 10.1093/jnci/djab040. PMID: 33739411; PMCID: PMC8522350.
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Lignan Intake and Risk of Coronary Heart Disease.

Journal of the American College of Cardiology

Hu Y, Li Y, Sampson L, Wang M, Manson JE, Rimm E, Sun Q.
PMID: 34384548
J Am Coll Cardiol. 2021 Aug 17;78(7):666-678. doi: 10.1016/j.jacc.2021.05.049.

BACKGROUND: Evidence regarding lignan consumption in relation to coronary heart disease (CHD) risk remains limited and mixed.OBJECTIVES: The aim of this study was to prospectively examine associations between lignan intake and CHD risk in U.S. men and women.METHODS: We...

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Hu Y, Li Y, Sampson L, et al. Lignan Intake and Risk of Coronary Heart Disease. J Am Coll Cardiol. 2021;78(7):666-678doi: 10.1016/j.jacc.2021.05.049.
Hu, Y., Li, Y., Sampson, L., Wang, M., Manson, J. E., Rimm, E., & Sun, Q. (2021). Lignan Intake and Risk of Coronary Heart Disease. Journal of the American College of Cardiology, 78(7), 666-678. https://doi.org/10.1016/j.jacc.2021.05.049
Hu, Yang, et al. "Lignan Intake and Risk of Coronary Heart Disease." Journal of the American College of Cardiology vol. 78,7 (2021): 666-678. doi: https://doi.org/10.1016/j.jacc.2021.05.049
Hu Y, Li Y, Sampson L, Wang M, Manson JE, Rimm E, Sun Q. Lignan Intake and Risk of Coronary Heart Disease. J Am Coll Cardiol. 2021 Aug 17;78(7):666-678. doi: 10.1016/j.jacc.2021.05.049. PMID: 34384548; PMCID: PMC8432598.
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Exploring genome-wide - dietary heme iron intake interactions and the risk of type 2 diabetes.

Frontiers in genetics

Pasquale LR, Loomis SJ, Aschard H, Kang JH, Cornelis MC, Qi L, Kraft P, Hu FB.
PMID: 23386860
Front Genet. 2013 Jan 30;4:7. doi: 10.3389/fgene.2013.00007. eCollection 2013.

AIMS/HYPOTHESIS: Genome-wide association studies have identified over 50 new genetic loci for type 2 diabetes (T2D). Several studies conclude that higher dietary heme iron intake increases the risk of T2D. Therefore we assessed whether the relation between genetic loci...

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Pasquale LR, Loomis SJ, Aschard H, et al. Exploring genome-wide - dietary heme iron intake interactions and the risk of type 2 diabetes. Front Genet. 2013;4:7doi: 10.3389/fgene.2013.00007.
Pasquale, L. R., Loomis, S. J., Aschard, H., Kang, J. H., Cornelis, M. C., Qi, L., Kraft, P., & Hu, F. B. (2013). Exploring genome-wide - dietary heme iron intake interactions and the risk of type 2 diabetes. Frontiers in genetics, 47. https://doi.org/10.3389/fgene.2013.00007
Pasquale, Louis R, et al. "Exploring genome-wide - dietary heme iron intake interactions and the risk of type 2 diabetes." Frontiers in genetics vol. 4 (2013): 7. doi: https://doi.org/10.3389/fgene.2013.00007
Pasquale LR, Loomis SJ, Aschard H, Kang JH, Cornelis MC, Qi L, Kraft P, Hu FB. Exploring genome-wide - dietary heme iron intake interactions and the risk of type 2 diabetes. Front Genet. 2013 Jan 30;4:7. doi: 10.3389/fgene.2013.00007. eCollection 2013. PMID: 23386860; PMCID: PMC3558725.
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Interaction between use of non-steroidal anti-inflammatory drugs and selected genetic polymorphisms in ovarian cancer risk.

International journal of molecular epidemiology and genetics

Pinheiro SP, Gates MA, De Vivo I, Rosner BA, Tworoger SS, Titus-Ernstoff L, Hankinson SE, Cramer DW.
PMID: 21532843
Int J Mol Epidemiol Genet. 2010 Sep 03;1(4):320-31.

Inflammation and non-steroidal anti-inflammatory agents (NSAIDs) may play important role in ovarian cancer. However, epidemiologic data are inconsistent, possibly reflecting inter-individual genetic differences affecting the metabolism of NSAIDs. We examined whether common polymorphisms affecting the metabolism of NSAIDs modify...

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Pinheiro SP, Gates MA, De Vivo I, et al. Interaction between use of non-steroidal anti-inflammatory drugs and selected genetic polymorphisms in ovarian cancer risk. Int J Mol Epidemiol Genet. 2010;1(4):320-31
Pinheiro, S. P., Gates, M. A., De Vivo, I., Rosner, B. A., Tworoger, S. S., Titus-Ernstoff, L., Hankinson, S. E., & Cramer, D. W. (2010). Interaction between use of non-steroidal anti-inflammatory drugs and selected genetic polymorphisms in ovarian cancer risk. International journal of molecular epidemiology and genetics, 1(4), 320-31.
Pinheiro, Simone P, et al. "Interaction between use of non-steroidal anti-inflammatory drugs and selected genetic polymorphisms in ovarian cancer risk." International journal of molecular epidemiology and genetics vol. 1,4 (2010): 320-31.
Pinheiro SP, Gates MA, De Vivo I, Rosner BA, Tworoger SS, Titus-Ernstoff L, Hankinson SE, Cramer DW. Interaction between use of non-steroidal anti-inflammatory drugs and selected genetic polymorphisms in ovarian cancer risk. Int J Mol Epidemiol Genet. 2010 Sep 03;1(4):320-31. PMID: 21532843; PMCID: PMC3076777.
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Biological variability dominates and influences analytical variance in HPLC-ECD studies of the human plasma metabolome.

BMC clinical pathology

Shurubor YI, Matson WR, Willett WC, Hankinson SE, Kristal BS.
PMID: 17997839
BMC Clin Pathol. 2007 Nov 12;7:9. doi: 10.1186/1472-6890-7-9.

BACKGROUND: Biomarker-based assessments of biological samples are widespread in clinical, pre-clinical, and epidemiological investigations. We previously developed serum metabolomic profiles assessed by HPLC-separations coupled with coulometric array detection that can accurately identify ad libitum fed and caloric-restricted rats. These...

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Shurubor YI, Matson WR, Willett WC, et al. Biological variability dominates and influences analytical variance in HPLC-ECD studies of the human plasma metabolome. BMC Clin Pathol. 2007;7:9doi: 10.1186/1472-6890-7-9.
Shurubor, Y. I., Matson, W. R., Willett, W. C., Hankinson, S. E., & Kristal, B. S. (2007). Biological variability dominates and influences analytical variance in HPLC-ECD studies of the human plasma metabolome. BMC clinical pathology, 79. https://doi.org/10.1186/1472-6890-7-9
Shurubor, Yevgeniya I, et al. "Biological variability dominates and influences analytical variance in HPLC-ECD studies of the human plasma metabolome." BMC clinical pathology vol. 7 (2007): 9. doi: https://doi.org/10.1186/1472-6890-7-9
Shurubor YI, Matson WR, Willett WC, Hankinson SE, Kristal BS. Biological variability dominates and influences analytical variance in HPLC-ECD studies of the human plasma metabolome. BMC Clin Pathol. 2007 Nov 12;7:9. doi: 10.1186/1472-6890-7-9. PMID: 17997839; PMCID: PMC2203971.
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