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Global DNA Methylation, Measured by the Luminometric Methylation Assay (LUMA), Associates with Postmenopausal Breast Cancer in Non-Obese and Physically Active Women.

Journal of Cancer

McCullough LE, Chen J, White AJ, Xu X, Cho YH, Bradshaw PT, Eng SM, Teitelbaum SL, Terry MB, Garbowski G, Neugut AI, Hibshoosh H, Santella RM, Gammon MD.
PMID: 26000047
J Cancer. 2015 May 01;6(6):548-54. doi: 10.7150/jca.11359. eCollection 2015.

INTRODUCTION: Little is known about how modifiable lifestyle factors interact with the epigenome to influence disease. Body mass index (BMI, weight kg/height m2) and physical activity are associated with postmenopausal breast cancer, but the mechanisms are not well-understood. We...

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McCullough LE, Chen J, White AJ, et al. Global DNA Methylation, Measured by the Luminometric Methylation Assay (LUMA), Associates with Postmenopausal Breast Cancer in Non-Obese and Physically Active Women. J Cancer. 2015;6(6):548-54doi: 10.7150/jca.11359.
McCullough, L. E., Chen, J., White, A. J., Xu, X., Cho, Y. H., Bradshaw, P. T., Eng, S. M., Teitelbaum, S. L., Terry, M. B., Garbowski, G., Neugut, A. I., Hibshoosh, H., Santella, R. M., & Gammon, M. D. (2015). Global DNA Methylation, Measured by the Luminometric Methylation Assay (LUMA), Associates with Postmenopausal Breast Cancer in Non-Obese and Physically Active Women. Journal of Cancer, 6(6), 548-54. https://doi.org/10.7150/jca.11359
McCullough, Lauren E, et al. "Global DNA Methylation, Measured by the Luminometric Methylation Assay (LUMA), Associates with Postmenopausal Breast Cancer in Non-Obese and Physically Active Women." Journal of Cancer vol. 6,6 (2015): 548-54. doi: https://doi.org/10.7150/jca.11359
McCullough LE, Chen J, White AJ, Xu X, Cho YH, Bradshaw PT, Eng SM, Teitelbaum SL, Terry MB, Garbowski G, Neugut AI, Hibshoosh H, Santella RM, Gammon MD. Global DNA Methylation, Measured by the Luminometric Methylation Assay (LUMA), Associates with Postmenopausal Breast Cancer in Non-Obese and Physically Active Women. J Cancer. 2015 May 01;6(6):548-54. doi: 10.7150/jca.11359. eCollection 2015. PMID: 26000047; PMCID: PMC4439941.
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Lactational Exposure to Polybrominated Diphenyl Ethers and Its Relation to Early Childhood Anthropometric Measurements.

Environmental health perspectives

Hoffman K, Mendez M, Siega-Riz AM, Herring AH, Sjödin A, Daniels JL.
PMID: 27153456
Environ Health Perspect. 2016 Oct;124(10):1656-1661. doi: 10.1289/EHP201. Epub 2016 May 06.

BACKGROUND: Polybrominated diphenyl ethers (PBDEs) are ubiquitous environmental contaminants that may influence growth and development.OBJECTIVE: We investigated the association between exposure to PBDEs via breast milk and anthropometric measurements in early childhood.METHODS: The Pregnancy Infection and Nutrition (PIN) Babies...

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Hoffman K, Mendez M, Siega-Riz AM, et al. Lactational Exposure to Polybrominated Diphenyl Ethers and Its Relation to Early Childhood Anthropometric Measurements. Environ Health Perspect. 2016;124(10):1656-1661doi: 10.1289/EHP201.
Hoffman, K., Mendez, M., Siega-Riz, A. M., Herring, A. H., Sjödin, A., & Daniels, J. L. (2016). Lactational Exposure to Polybrominated Diphenyl Ethers and Its Relation to Early Childhood Anthropometric Measurements. Environmental health perspectives, 124(10), 1656-1661. https://doi.org/10.1289/EHP201
Hoffman, Kate, et al. "Lactational Exposure to Polybrominated Diphenyl Ethers and Its Relation to Early Childhood Anthropometric Measurements." Environmental health perspectives vol. 124,10 (2016): 1656-1661. doi: https://doi.org/10.1289/EHP201
Hoffman K, Mendez M, Siega-Riz AM, Herring AH, Sjödin A, Daniels JL. Lactational Exposure to Polybrominated Diphenyl Ethers and Its Relation to Early Childhood Anthropometric Measurements. Environ Health Perspect. 2016 Oct;124(10):1656-1661. doi: 10.1289/EHP201. Epub 2016 May 06. PMID: 27153456; PMCID: PMC5047775.
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Fluxomics of the eastern oyster for environmental stress studies.

Metabolites

Tikunov AP, Stoskopf MK, Macdonald JM.
PMID: 24958387
Metabolites. 2014 Jan 07;4(1):53-70. doi: 10.3390/metabo4010053.

The metabolism of 2-13C/15N-glycine and U-13C-glucose was determined in four tissue blocks (adductor muscle, stomach and digestive gland, mantle, and gills) of the Eastern oyster (Crassostrea virginica) using proton (1H) and carbon-13 (13C) nuclear magnetic resonance (NMR) spectroscopy. The...

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Tikunov AP, Stoskopf MK, Macdonald JM. Fluxomics of the eastern oyster for environmental stress studies. Metabolites. 2014;4(1):53-70doi: 10.3390/metabo4010053.
Tikunov, A. P., Stoskopf, M. K., & Macdonald, J. M. (2014). Fluxomics of the eastern oyster for environmental stress studies. Metabolites, 4(1), 53-70. https://doi.org/10.3390/metabo4010053
Tikunov, Andrey P, et al. "Fluxomics of the eastern oyster for environmental stress studies." Metabolites vol. 4,1 (2014): 53-70. doi: https://doi.org/10.3390/metabo4010053
Tikunov AP, Stoskopf MK, Macdonald JM. Fluxomics of the eastern oyster for environmental stress studies. Metabolites. 2014 Jan 07;4(1):53-70. doi: 10.3390/metabo4010053. PMID: 24958387; PMCID: PMC4018674.
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Regionalized PM2.5 Community Multiscale Air Quality model performance evaluation across a continuous spatiotemporal domain.

Atmospheric environment (Oxford, England : 1994)

Reyes JM, Xu Y, Vizuete W, Serre ML.
PMID: 28848374
Atmos Environ (1994). 2017 Jan;148:258-265. doi: 10.1016/j.atmosenv.2016.10.048.

The regulatory Community Multiscale Air Quality (CMAQ) model is a means to understanding the sources, concentrations and regulatory attainment of air pollutants within a model's domain. Substantial resources are allocated to the evaluation of model performance. The Regionalized Air...

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Reyes JM, Xu Y, Vizuete W, et al. Regionalized PM2.5 Community Multiscale Air Quality model performance evaluation across a continuous spatiotemporal domain. Atmos Environ (1994). 2017;148:258-265doi: 10.1016/j.atmosenv.2016.10.048.
Reyes, J. M., Xu, Y., Vizuete, W., & Serre, M. L. (2017). Regionalized PM2.5 Community Multiscale Air Quality model performance evaluation across a continuous spatiotemporal domain. Atmospheric environment (Oxford, England : 1994), 148258-265. https://doi.org/10.1016/j.atmosenv.2016.10.048
Reyes, Jeanette M, et al. "Regionalized PM2.5 Community Multiscale Air Quality model performance evaluation across a continuous spatiotemporal domain." Atmospheric environment (Oxford, England : 1994) vol. 148 (2017): 258-265. doi: https://doi.org/10.1016/j.atmosenv.2016.10.048
Reyes JM, Xu Y, Vizuete W, Serre ML. Regionalized PM2.5 Community Multiscale Air Quality model performance evaluation across a continuous spatiotemporal domain. Atmos Environ (1994). 2017 Jan;148:258-265. doi: 10.1016/j.atmosenv.2016.10.048. PMID: 28848374; PMCID: PMC5571875.
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On negative outcome control of unobserved confounding as a generalization of difference-in-differences.

Statistical science : a review journal of the Institute of Mathematical Statistics

Sofer T, Richardson DB, Colicino E, Schwartz J, Tchetgen Tchetgen EJ.
PMID: 28239233
Stat Sci. 2016;31(3):348-361. doi: 10.1214/16-STS558. Epub 2016 Sep 27.

The

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Sofer T, Richardson DB, Colicino E, et al. On negative outcome control of unobserved confounding as a generalization of difference-in-differences. Stat Sci. 2016;31(3):348-361doi: 10.1214/16-STS558.
Sofer, T., Richardson, D. B., Colicino, E., Schwartz, J., & Tchetgen Tchetgen, E. J. (2016). On negative outcome control of unobserved confounding as a generalization of difference-in-differences. Statistical science : a review journal of the Institute of Mathematical Statistics, 31(3), 348-361. https://doi.org/10.1214/16-STS558
Sofer, Tamar, et al. "On negative outcome control of unobserved confounding as a generalization of difference-in-differences." Statistical science : a review journal of the Institute of Mathematical Statistics vol. 31,3 (2016): 348-361. doi: https://doi.org/10.1214/16-STS558
Sofer T, Richardson DB, Colicino E, Schwartz J, Tchetgen Tchetgen EJ. On negative outcome control of unobserved confounding as a generalization of difference-in-differences. Stat Sci. 2016;31(3):348-361. doi: 10.1214/16-STS558. Epub 2016 Sep 27. PMID: 28239233; PMCID: PMC5322866.
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Imprinted genes and the environment: links to the toxic metals arsenic, cadmium, lead and mercury.

Genes

Smeester L, Yosim AE, Nye MD, Hoyo C, Murphy SK, Fry RC.
PMID: 24921406
Genes (Basel). 2014 Jun 11;5(2):477-96. doi: 10.3390/genes5020477.

Imprinted genes defy rules of Mendelian genetics with their expression tied to the parent from whom each allele was inherited. They are known to play a role in various diseases/disorders including fetal growth disruption, lower birth weight, obesity, and...

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Smeester L, Yosim AE, Nye MD, et al. Imprinted genes and the environment: links to the toxic metals arsenic, cadmium, lead and mercury. Genes (Basel). 2014;5(2):477-96doi: 10.3390/genes5020477.
Smeester, L., Yosim, A. E., Nye, M. D., Hoyo, C., Murphy, S. K., & Fry, R. C. (2014). Imprinted genes and the environment: links to the toxic metals arsenic, cadmium, lead and mercury. Genes, 5(2), 477-96. https://doi.org/10.3390/genes5020477
Smeester, Lisa, et al. "Imprinted genes and the environment: links to the toxic metals arsenic, cadmium, lead and mercury." Genes vol. 5,2 (2014): 477-96. doi: https://doi.org/10.3390/genes5020477
Smeester L, Yosim AE, Nye MD, Hoyo C, Murphy SK, Fry RC. Imprinted genes and the environment: links to the toxic metals arsenic, cadmium, lead and mercury. Genes (Basel). 2014 Jun 11;5(2):477-96. doi: 10.3390/genes5020477. PMID: 24921406; PMCID: PMC4094944.
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Von Hippel-Lindau status influences phenotype of liver cancers arising from PTEN loss.

Gastrointestinal cancer : targets and therapy

Sendor AB, Hacker KE, Chen S, Corona AL, Sen O, Chiang DY, Snavely A, Rogers AB, Montgomery SA, Rathmell WK, McRee AJ.
PMID: 25844041
Gastrointest Cancer. 2015 Feb 01;5:61-71. doi: 10.2147/GICTT.S72274.

No abstract available.

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Sendor AB, Hacker KE, Chen S, et al. Von Hippel-Lindau status influences phenotype of liver cancers arising from PTEN loss. Gastrointest Cancer. 2015;5:61-71doi: 10.2147/GICTT.S72274.
Sendor, A. B., Hacker, K. E., Chen, S., Corona, A. L., Sen, O., Chiang, D. Y., Snavely, A., Rogers, A. B., Montgomery, S. A., Rathmell, W. K., & McRee, A. J. (2015). Von Hippel-Lindau status influences phenotype of liver cancers arising from PTEN loss. Gastrointestinal cancer : targets and therapy, 561-71. https://doi.org/10.2147/GICTT.S72274
Sendor, Adam B, et al. "Von Hippel-Lindau status influences phenotype of liver cancers arising from PTEN loss." Gastrointestinal cancer : targets and therapy vol. 5 (2015): 61-71. doi: https://doi.org/10.2147/GICTT.S72274
Sendor AB, Hacker KE, Chen S, Corona AL, Sen O, Chiang DY, Snavely A, Rogers AB, Montgomery SA, Rathmell WK, McRee AJ. Von Hippel-Lindau status influences phenotype of liver cancers arising from PTEN loss. Gastrointest Cancer. 2015 Feb 01;5:61-71. doi: 10.2147/GICTT.S72274. PMID: 25844041; PMCID: PMC4383253.
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Gene-Specific Promoter Methylation Status in Hormone-Receptor-Positive Breast Cancer Associates with Postmenopausal Body Size and Recreational Physical Activity.

International journal of cancer and clinical research

McCullough LE, Chen J, White AJ, Xu X, Cho YH, Bradshaw PT, Eng SM, Teitelbaum SL, Terry MB, Garbowski G, Neugut AI, Hibshoosh H, Santella RM, Gammon MD.
PMID: 26005715
Int J Cancer Clin Res. 2015;2(1). doi: 10.23937/2378-3419/2/1/1013.

INTRODUCTION: Breast cancer, the leading cancer diagnosis among American women, is positively associated with postmenopausal obesity and little or no recreational physical activity (RPA). However, the underlying mechanisms of these associations remain unresolved. Aberrant changes in DNA methylation may...

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McCullough LE, Chen J, White AJ, et al. Gene-Specific Promoter Methylation Status in Hormone-Receptor-Positive Breast Cancer Associates with Postmenopausal Body Size and Recreational Physical Activity. Int J Cancer Clin Res. 2015;2(1)doi: 10.23937/2378-3419/2/1/1013.
McCullough, L. E., Chen, J., White, A. J., Xu, X., Cho, Y. H., Bradshaw, P. T., Eng, S. M., Teitelbaum, S. L., Terry, M. B., Garbowski, G., Neugut, A. I., Hibshoosh, H., Santella, R. M., & Gammon, M. D. (2015). Gene-Specific Promoter Methylation Status in Hormone-Receptor-Positive Breast Cancer Associates with Postmenopausal Body Size and Recreational Physical Activity. International journal of cancer and clinical research, 2(1), . https://doi.org/10.23937/2378-3419/2/1/1013
McCullough, Lauren E, et al. "Gene-Specific Promoter Methylation Status in Hormone-Receptor-Positive Breast Cancer Associates with Postmenopausal Body Size and Recreational Physical Activity." International journal of cancer and clinical research vol. 2,1 (2015). doi: https://doi.org/10.23937/2378-3419/2/1/1013
McCullough LE, Chen J, White AJ, Xu X, Cho YH, Bradshaw PT, Eng SM, Teitelbaum SL, Terry MB, Garbowski G, Neugut AI, Hibshoosh H, Santella RM, Gammon MD. Gene-Specific Promoter Methylation Status in Hormone-Receptor-Positive Breast Cancer Associates with Postmenopausal Body Size and Recreational Physical Activity. Int J Cancer Clin Res. 2015;2(1). doi: 10.23937/2378-3419/2/1/1013. PMID: 26005715; PMCID: PMC4440485.
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Enhancing metabolomic data analysis with Progressive Consensus Alignment of NMR Spectra (PCANS).

BMC bioinformatics

Staab JM, O'Connell TM, Gomez SM.
PMID: 20214818
BMC Bioinformatics. 2010 Mar 09;11:123. doi: 10.1186/1471-2105-11-123.

BACKGROUND: Nuclear magnetic resonance spectroscopy is one of the primary tools in metabolomics analyses, where it is used to track and quantify changes in metabolite concentrations or profiles in response to perturbation through disease, toxicants or drugs. The spectra...

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Staab JM, O'Connell TM, Gomez SM. Enhancing metabolomic data analysis with Progressive Consensus Alignment of NMR Spectra (PCANS). BMC Bioinformatics. 2010;11:123doi: 10.1186/1471-2105-11-123.
Staab, J. M., O'Connell, T. M., & Gomez, S. M. (2010). Enhancing metabolomic data analysis with Progressive Consensus Alignment of NMR Spectra (PCANS). BMC bioinformatics, 11123. https://doi.org/10.1186/1471-2105-11-123
Staab, Jennifer M, et al. "Enhancing metabolomic data analysis with Progressive Consensus Alignment of NMR Spectra (PCANS)." BMC bioinformatics vol. 11 (2010): 123. doi: https://doi.org/10.1186/1471-2105-11-123
Staab JM, O'Connell TM, Gomez SM. Enhancing metabolomic data analysis with Progressive Consensus Alignment of NMR Spectra (PCANS). BMC Bioinformatics. 2010 Mar 09;11:123. doi: 10.1186/1471-2105-11-123. PMID: 20214818; PMCID: PMC2851603.
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Developing measures on the perceptions of the built environment for physical activity: a confirmatory analysis.

The international journal of behavioral nutrition and physical activity

Gay JL, Evenson KR, Smith J.
PMID: 20929571
Int J Behav Nutr Phys Act. 2010 Oct 07;7:72. doi: 10.1186/1479-5868-7-72.

BACKGROUND: Minimal validity evidence exists for scales assessing the built environment for physical activity. The purpose of this study was to assess the test-retest reliability and invariance of a three-factor model (Neighborhood Characteristics, Safety/Crime, and Access to Physical Activity...

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Gay JL, Evenson KR, Smith J. Developing measures on the perceptions of the built environment for physical activity: a confirmatory analysis. Int J Behav Nutr Phys Act. 2010;7:72doi: 10.1186/1479-5868-7-72.
Gay, J. L., Evenson, K. R., & Smith, J. (2010). Developing measures on the perceptions of the built environment for physical activity: a confirmatory analysis. The international journal of behavioral nutrition and physical activity, 772. https://doi.org/10.1186/1479-5868-7-72
Gay, Jennifer L, et al. "Developing measures on the perceptions of the built environment for physical activity: a confirmatory analysis." The international journal of behavioral nutrition and physical activity vol. 7 (2010): 72. doi: https://doi.org/10.1186/1479-5868-7-72
Gay JL, Evenson KR, Smith J. Developing measures on the perceptions of the built environment for physical activity: a confirmatory analysis. Int J Behav Nutr Phys Act. 2010 Oct 07;7:72. doi: 10.1186/1479-5868-7-72. PMID: 20929571; PMCID: PMC2959084.
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Penalized Estimating Functions and Variable Selection in Semiparametric Regression Models.

Journal of the American Statistical Association

Johnson BA, Lin DY, Zeng D.
PMID: 20376193
J Am Stat Assoc. 2008 Jun 01;103(482):672-680. doi: 10.1198/016214508000000184.

We propose a general strategy for variable selection in semiparametric regression models by penalizing appropriate estimating functions. Important applications include semiparametric linear regression with censored responses and semiparametric regression with missing predictors. Unlike the existing penalized maximum likelihood estimators,...

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Johnson BA, Lin DY, Zeng D. Penalized Estimating Functions and Variable Selection in Semiparametric Regression Models. J Am Stat Assoc. 2008;103(482):672-680doi: 10.1198/016214508000000184.
Johnson, B. A., Lin, D. Y., & Zeng, D. (2008). Penalized Estimating Functions and Variable Selection in Semiparametric Regression Models. Journal of the American Statistical Association, 103(482), 672-680. https://doi.org/10.1198/016214508000000184
Johnson, Brent A, et al. "Penalized Estimating Functions and Variable Selection in Semiparametric Regression Models." Journal of the American Statistical Association vol. 103,482 (2008): 672-680. doi: https://doi.org/10.1198/016214508000000184
Johnson BA, Lin DY, Zeng D. Penalized Estimating Functions and Variable Selection in Semiparametric Regression Models. J Am Stat Assoc. 2008 Jun 01;103(482):672-680. doi: 10.1198/016214508000000184. PMID: 20376193; PMCID: PMC2850080.
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The case-only independence assumption: associations between genetic polymorphisms and smoking among controls in two population-based studies.

International journal of molecular epidemiology and genetics

Hodgson ME, Olshan AF, North KE, Poole CL, Zeng D, Tse CK, Keku TO, Galanko J, Sandler R, Millikan RC.
PMID: 23205185
Int J Mol Epidemiol Genet. 2012;3(4):333-60. Epub 2012 Nov 15.

The independence assumption for a case-only analysis of statistical interaction, i. e. that genetic (G) and environmental exposures (E) are not associated in the source population, is often checked in surrogate populations. Few studies have examined G-E association in...

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Hodgson ME, Olshan AF, North KE, et al. The case-only independence assumption: associations between genetic polymorphisms and smoking among controls in two population-based studies. Int J Mol Epidemiol Genet. 2012;3(4):333-60
Hodgson, M. E., Olshan, A. F., North, K. E., Poole, C. L., Zeng, D., Tse, C. K., Keku, T. O., Galanko, J., Sandler, R., & Millikan, R. C. (2012). The case-only independence assumption: associations between genetic polymorphisms and smoking among controls in two population-based studies. International journal of molecular epidemiology and genetics, 3(4), 333-60.
Hodgson, M Elizabeth, et al. "The case-only independence assumption: associations between genetic polymorphisms and smoking among controls in two population-based studies." International journal of molecular epidemiology and genetics vol. 3,4 (2012): 333-60.
Hodgson ME, Olshan AF, North KE, Poole CL, Zeng D, Tse CK, Keku TO, Galanko J, Sandler R, Millikan RC. The case-only independence assumption: associations between genetic polymorphisms and smoking among controls in two population-based studies. Int J Mol Epidemiol Genet. 2012;3(4):333-60. Epub 2012 Nov 15. PMID: 23205185; PMCID: PMC3508536.
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Showing 1 to 12 of 235 entries