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Hot Deck Multiple Imputation for Handling Missing Accelerometer Data.

Statistics in biosciences

Butera NM, Li S, Evenson KR, Di C, Buchner DM, LaMonte MJ, LaCroix AZ, Herring A.
PMID: 31447952
Stat Biosci. 2019 Jul;11(2):422-448. doi: 10.1007/s12561-018-9225-4. Epub 2018 Oct 29.

Missing data due to non-wear are common in accelerometer studies measuring physical activity and sedentary behavior. Accelerometer output are high-dimensional time-series data that are episodic and often highly skewed, presenting unique challenges for handling missing data. Common methods for...

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Butera NM, Li S, Evenson KR, et al. Hot Deck Multiple Imputation for Handling Missing Accelerometer Data. Stat Biosci. 2018;11(2):422-448doi: 10.1007/s12561-018-9225-4.
Butera, N. M., Li, S., Evenson, K. R., Di, C., Buchner, D. M., LaMonte, M. J., LaCroix, A. Z., & Herring, A. (2019). Hot Deck Multiple Imputation for Handling Missing Accelerometer Data. Statistics in biosciences, 11(2), 422-448. https://doi.org/10.1007/s12561-018-9225-4
Butera, Nicole M, et al. "Hot Deck Multiple Imputation for Handling Missing Accelerometer Data." Statistics in biosciences vol. 11,2 (2019): 422-448. doi: https://doi.org/10.1007/s12561-018-9225-4
Butera NM, Li S, Evenson KR, Di C, Buchner DM, LaMonte MJ, LaCroix AZ, Herring A. Hot Deck Multiple Imputation for Handling Missing Accelerometer Data. Stat Biosci. 2019 Jul;11(2):422-448. doi: 10.1007/s12561-018-9225-4. Epub 2018 Oct 29. PMID: 31447952; PMCID: PMC6707749.
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DNAm-based signatures of accelerated aging and mortality in blood are associated with low renal function.

Clinical epigenetics

Matías-García PR, Ward-Caviness CK, Raffield LM, Gao X, Zhang Y, Wilson R, Gào X, Nano J, Bostom A, Colicino E, Correa A, Coull B, Eaton C, Hou L, Just AC, Kunze S, Lange L, Lange E, Lin X, Liu S, Nwanaji-Enwerem JC, Reiner A, Shen J, Schöttker B, Vokonas P, Zheng Y, Young B, Schwartz J, Horvath S, Lu A, Whitsel EA, Koenig W, Adamski J, Winkelmann J, Brenner H, Baccarelli AA, Gieger C, Peters A, Franceschini N, Waldenberger M.
PMID: 34078457
Clin Epigenetics. 2021 Jun 02;13(1):121. doi: 10.1186/s13148-021-01082-w.

BACKGROUND: The difference between an individual's chronological and DNA methylation predicted age (DNAmAge), termed DNAmAge acceleration (DNAmAA), can capture life-long environmental exposures and age-related physiological changes reflected in methylation status. Several studies have linked DNAmAA to morbidity and mortality,...

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Matías-García PR, Ward-Caviness CK, Raffield LM, et al. DNAm-based signatures of accelerated aging and mortality in blood are associated with low renal function. Clin Epigenetics. 2021;13(1):121doi: 10.1186/s13148-021-01082-w.
Matías-García, P. R., Ward-Caviness, C. K., Raffield, L. M., Gao, X., Zhang, Y., Wilson, R., Gào, X., Nano, J., Bostom, A., Colicino, E., Correa, A., Coull, B., Eaton, C., Hou, L., Just, A. C., Kunze, S., Lange, L., Lange, E., Lin, X., Liu, S., Nwanaji-Enwerem, J. C., Reiner, A., Shen, J., Schöttker, B., Vokonas, P., Zheng, Y., Young, B., Schwartz, J., Horvath, S., Lu, A., Whitsel, E. A., Koenig, W., Adamski, J., Winkelmann, J., Brenner, H., Baccarelli, A. A., Gieger, C., Peters, A., Franceschini, N., & Waldenberger, M. (2021). DNAm-based signatures of accelerated aging and mortality in blood are associated with low renal function. Clinical epigenetics, 13(1), 121. https://doi.org/10.1186/s13148-021-01082-w
Matías-García, Pamela R, et al. "DNAm-based signatures of accelerated aging and mortality in blood are associated with low renal function." Clinical epigenetics vol. 13,1 (2021): 121. doi: https://doi.org/10.1186/s13148-021-01082-w
Matías-García PR, Ward-Caviness CK, Raffield LM, Gao X, Zhang Y, Wilson R, Gào X, Nano J, Bostom A, Colicino E, Correa A, Coull B, Eaton C, Hou L, Just AC, Kunze S, Lange L, Lange E, Lin X, Liu S, Nwanaji-Enwerem JC, Reiner A, Shen J, Schöttker B, Vokonas P, Zheng Y, Young B, Schwartz J, Horvath S, Lu A, Whitsel EA, Koenig W, Adamski J, Winkelmann J, Brenner H, Baccarelli AA, Gieger C, Peters A, Franceschini N, Waldenberger M. DNAm-based signatures of accelerated aging and mortality in blood are associated with low renal function. Clin Epigenetics. 2021 Jun 02;13(1):121. doi: 10.1186/s13148-021-01082-w. PMID: 34078457; PMCID: PMC8170969.
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Associations between DNA methylation and BMI vary by metabolic health status: a potential link to disparate cardiovascular outcomes.

Clinical epigenetics

Do WL, Nguyen S, Yao J, Guo X, Whitsel EA, Demerath E, Rotter JI, Rich SS, Lange L, Ding J, Van Den Berg D, Liu Y, Justice AE, Guan W, Horvath S, Assimes TL, Bhatti P, Jordahl K, Shadyab A, Valencia CI, Stein AD, Smith A, Staimez LR, Conneely K, Narayan KMV.
PMID: 34937574
Clin Epigenetics. 2021 Dec 22;13(1):230. doi: 10.1186/s13148-021-01194-3.

BACKGROUND: Body mass index (BMI), a well-known risk factor for poor cardiovascular outcomes, is associated with differential DNA methylation (DNAm). Similarly, metabolic health has also been associated with changes in DNAm. It is unclear how overall metabolic health outside...

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Do WL, Nguyen S, Yao J, et al. Associations between DNA methylation and BMI vary by metabolic health status: a potential link to disparate cardiovascular outcomes. Clin Epigenetics. 2021;13(1):230doi: 10.1186/s13148-021-01194-3.
Do, W. L., Nguyen, S., Yao, J., Guo, X., Whitsel, E. A., Demerath, E., Rotter, J. I., Rich, S. S., Lange, L., Ding, J., Van Den Berg, D., Liu, Y., Justice, A. E., Guan, W., Horvath, S., Assimes, T. L., Bhatti, P., Jordahl, K., Shadyab, A., Valencia, C. I., Stein, A. D., Smith, A., Staimez, L. R., Conneely, K., & Narayan, K. M. V. (2021). Associations between DNA methylation and BMI vary by metabolic health status: a potential link to disparate cardiovascular outcomes. Clinical epigenetics, 13(1), 230. https://doi.org/10.1186/s13148-021-01194-3
Do, Whitney L, et al. "Associations between DNA methylation and BMI vary by metabolic health status: a potential link to disparate cardiovascular outcomes." Clinical epigenetics vol. 13,1 (2021): 230. doi: https://doi.org/10.1186/s13148-021-01194-3
Do WL, Nguyen S, Yao J, Guo X, Whitsel EA, Demerath E, Rotter JI, Rich SS, Lange L, Ding J, Van Den Berg D, Liu Y, Justice AE, Guan W, Horvath S, Assimes TL, Bhatti P, Jordahl K, Shadyab A, Valencia CI, Stein AD, Smith A, Staimez LR, Conneely K, Narayan KMV. Associations between DNA methylation and BMI vary by metabolic health status: a potential link to disparate cardiovascular outcomes. Clin Epigenetics. 2021 Dec 22;13(1):230. doi: 10.1186/s13148-021-01194-3. PMID: 34937574; PMCID: PMC8697469.
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Metabolite signatures of heart failure, sleep apnoea, their interaction, and outcomes in the community.

ESC heart failure

Dutta S, Li D, Wang A, Ishak M, Cook K, Farnham M, Dissanayake H, Cistulli P, Hunyor I, Liu R, Wilcox I, Koay YC, Yang J, Lal S, O'Sullivan JF.
PMID: 34657379
ESC Heart Fail. 2021 Dec;8(6):5392-5402. doi: 10.1002/ehf2.13631. Epub 2021 Oct 17.

AIMS: Sleep apnoea and congestive heart failure (CHF) commonly co-exist, but their interaction is unclear. Metabolomics may clarify their interaction and relationships to outcome.METHODS AND RESULTS: We assayed 372 circulating metabolites and lipids in 1919 and 1524 participants of...

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Dutta S, Li D, Wang A, et al. Metabolite signatures of heart failure, sleep apnoea, their interaction, and outcomes in the community. ESC Heart Fail. 2021;8(6):5392-5402doi: 10.1002/ehf2.13631.
Dutta, S., Li, D., Wang, A., Ishak, M., Cook, K., Farnham, M., Dissanayake, H., Cistulli, P., Hunyor, I., Liu, R., Wilcox, I., Koay, Y. C., Yang, J., Lal, S., & O'Sullivan, J. F. (2021). Metabolite signatures of heart failure, sleep apnoea, their interaction, and outcomes in the community. ESC heart failure, 8(6), 5392-5402. https://doi.org/10.1002/ehf2.13631
Dutta, Shashwati, et al. "Metabolite signatures of heart failure, sleep apnoea, their interaction, and outcomes in the community." ESC heart failure vol. 8,6 (2021): 5392-5402. doi: https://doi.org/10.1002/ehf2.13631
Dutta S, Li D, Wang A, Ishak M, Cook K, Farnham M, Dissanayake H, Cistulli P, Hunyor I, Liu R, Wilcox I, Koay YC, Yang J, Lal S, O'Sullivan JF. Metabolite signatures of heart failure, sleep apnoea, their interaction, and outcomes in the community. ESC Heart Fail. 2021 Dec;8(6):5392-5402. doi: 10.1002/ehf2.13631. Epub 2021 Oct 17. PMID: 34657379.
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[No title available]

Blood cancer discovery

Beauchamp EM, Leventhal M, Bernard E, Hoppe ER, Todisco G, Creignou M, Gallì A, Castellano CA, McConkey M, Tarun A, Wong W, Schenone M, Stanclift C, Tanenbaum B, Malolepsza E, Nilsson B, Bick AG, Weinstock JS, Miller M, Niroula A, Dunford A, Taylor-Weiner A, Wood T, Barbera A, Anand S, Psaty BM, Desai P, Cho MH, Johnson AD, Loos R, MacArthur DG, Lek M, Neuberg DS, Lage K, Carr SA, Hellstrom-Lindberg E, Malcovati L, Papaemmanuil E, Stewart C, Getz G, Bradley RK, Jaiswal S, Ebert BL.
PMID: 34568833
Blood Cancer Discov. 2021 Sep;2(5):500-517. doi: 10.1158/2643-3230.BCD-20-0224. Epub 2021 Jul 14.

Clonal hematopoiesis results from somatic mutations in cancer driver genes in hematopoietic stem cells. We sought to identify novel drivers of clonal expansion using an unbiased analysis of sequencing data from 84,683 persons and identified common mutations in the...

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Beauchamp EM, Leventhal M, Bernard E, et al. . Blood Cancer Discov. 2021;2(5):500-517doi: 10.1158/2643-3230.BCD-20-0224.
Beauchamp, E. M., Leventhal, M., Bernard, E., Hoppe, E. R., Todisco, G., Creignou, M., Gallì, A., Castellano, C. A., McConkey, M., Tarun, A., Wong, W., Schenone, M., Stanclift, C., Tanenbaum, B., Malolepsza, E., Nilsson, B., Bick, A. G., Weinstock, J. S., Miller, M., Niroula, A., Dunford, A., Taylor-Weiner, A., Wood, T., Barbera, A., Anand, S., Psaty, B. M., Desai, P., Cho, M. H., Johnson, A. D., Loos, R., MacArthur, D. G., Lek, M., Neuberg, D. S., Lage, K., Carr, S. A., Hellstrom-Lindberg, E., Malcovati, L., Papaemmanuil, E., Stewart, C., Getz, G., Bradley, R. K., Jaiswal, S., & Ebert, B. L. (2021). . Blood cancer discovery, 2(5), 500-517. https://doi.org/10.1158/2643-3230.BCD-20-0224
Beauchamp, Ellen M, et al. "." Blood cancer discovery vol. 2,5 (2021): 500-517. doi: https://doi.org/10.1158/2643-3230.BCD-20-0224
Beauchamp EM, Leventhal M, Bernard E, Hoppe ER, Todisco G, Creignou M, Gallì A, Castellano CA, McConkey M, Tarun A, Wong W, Schenone M, Stanclift C, Tanenbaum B, Malolepsza E, Nilsson B, Bick AG, Weinstock JS, Miller M, Niroula A, Dunford A, Taylor-Weiner A, Wood T, Barbera A, Anand S, Psaty BM, Desai P, Cho MH, Johnson AD, Loos R, MacArthur DG, Lek M, Neuberg DS, Lage K, Carr SA, Hellstrom-Lindberg E, Malcovati L, Papaemmanuil E, Stewart C, Getz G, Bradley RK, Jaiswal S, Ebert BL. . Blood Cancer Discov. 2021 Sep;2(5):500-517. doi: 10.1158/2643-3230.BCD-20-0224. Epub 2021 Jul 14. PMID: 34568833; PMCID: PMC8462124.
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Dietary Patterns of Insulinemia, Inflammation and Glycemia, and Pancreatic Cancer Risk: Findings from the Women's Health Initiative.

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

Jin Q, Hart PA, Shi N, Joseph JJ, Donneyong M, Conwell DL, Clinton SK, Cruz-Monserrate Z, Brasky TM, Tinker LF, Liu S, Shadyab AH, Thomson CA, Qi L, Rohan T, Tabung FK.
PMID: 33827986
Cancer Epidemiol Biomarkers Prev. 2021 Jun;30(6):1229-1240. doi: 10.1158/1055-9965.EPI-20-1478. Epub 2021 Apr 07.

BACKGROUND: Pancreatic cancer risk is increasing in countries with high consumption of Western dietary patterns and rising obesity rates. We examined the hypothesis that specific dietary patterns reflecting hyperinsulinemia (empirical dietary index for hyperinsulinemia; EDIH), systemic inflammation (empirical dietary...

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Jin Q, Hart PA, Shi N, et al. Dietary Patterns of Insulinemia, Inflammation and Glycemia, and Pancreatic Cancer Risk: Findings from the Women's Health Initiative. Cancer Epidemiol Biomarkers Prev. 2021;30(6):1229-1240doi: 10.1158/1055-9965.EPI-20-1478.
Jin, Q., Hart, P. A., Shi, N., Joseph, J. J., Donneyong, M., Conwell, D. L., Clinton, S. K., Cruz-Monserrate, Z., Brasky, T. M., Tinker, L. F., Liu, S., Shadyab, A. H., Thomson, C. A., Qi, L., Rohan, T., & Tabung, F. K. (2021). Dietary Patterns of Insulinemia, Inflammation and Glycemia, and Pancreatic Cancer Risk: Findings from the Women's Health Initiative. Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology, 30(6), 1229-1240. https://doi.org/10.1158/1055-9965.EPI-20-1478
Jin, Qi, et al. "Dietary Patterns of Insulinemia, Inflammation and Glycemia, and Pancreatic Cancer Risk: Findings from the Women's Health Initiative." Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology vol. 30,6 (2021): 1229-1240. doi: https://doi.org/10.1158/1055-9965.EPI-20-1478
Jin Q, Hart PA, Shi N, Joseph JJ, Donneyong M, Conwell DL, Clinton SK, Cruz-Monserrate Z, Brasky TM, Tinker LF, Liu S, Shadyab AH, Thomson CA, Qi L, Rohan T, Tabung FK. Dietary Patterns of Insulinemia, Inflammation and Glycemia, and Pancreatic Cancer Risk: Findings from the Women's Health Initiative. Cancer Epidemiol Biomarkers Prev. 2021 Jun;30(6):1229-1240. doi: 10.1158/1055-9965.EPI-20-1478. Epub 2021 Apr 07. PMID: 33827986; PMCID: PMC8172436.
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Premature Menopause, Clonal Hematopoiesis, and Coronary Artery Disease in Postmenopausal Women.

Circulation

Honigberg MC, Zekavat SM, Niroula A, Griffin GK, Bick AG, Pirruccello JP, Nakao T, Whitsel EA, Farland LV, Laurie C, Kooperberg C, Manson JE, Gabriel S, Libby P, Reiner AP, Ebert BL, Natarajan P.
PMID: 33161765
Circulation. 2021 Feb 02;143(5):410-423. doi: 10.1161/CIRCULATIONAHA.120.051775. Epub 2020 Nov 09.

BACKGROUND: Premature menopause is an independent risk factor for cardiovascular disease in women, but mechanisms underlying this association remain unclear. Clonal hematopoiesis of indeterminate potential (CHIP), the age-related expansion of hematopoietic cells with leukemogenic mutations without detectable malignancy, is...

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Honigberg MC, Zekavat SM, Niroula A, et al. Premature Menopause, Clonal Hematopoiesis, and Coronary Artery Disease in Postmenopausal Women. Circulation. 2020;143(5):410-423doi: 10.1161/CIRCULATIONAHA.120.051775.
Honigberg, M. C., Zekavat, S. M., Niroula, A., Griffin, G. K., Bick, A. G., Pirruccello, J. P., Nakao, T., Whitsel, E. A., Farland, L. V., Laurie, C., Kooperberg, C., Manson, J. E., Gabriel, S., Libby, P., Reiner, A. P., Ebert, B. L., & Natarajan, P. (2021). Premature Menopause, Clonal Hematopoiesis, and Coronary Artery Disease in Postmenopausal Women. Circulation, 143(5), 410-423. https://doi.org/10.1161/CIRCULATIONAHA.120.051775
Honigberg, Michael C, et al. "Premature Menopause, Clonal Hematopoiesis, and Coronary Artery Disease in Postmenopausal Women." Circulation vol. 143,5 (2021): 410-423. doi: https://doi.org/10.1161/CIRCULATIONAHA.120.051775
Honigberg MC, Zekavat SM, Niroula A, Griffin GK, Bick AG, Pirruccello JP, Nakao T, Whitsel EA, Farland LV, Laurie C, Kooperberg C, Manson JE, Gabriel S, Libby P, Reiner AP, Ebert BL, Natarajan P. Premature Menopause, Clonal Hematopoiesis, and Coronary Artery Disease in Postmenopausal Women. Circulation. 2021 Feb 02;143(5):410-423. doi: 10.1161/CIRCULATIONAHA.120.051775. Epub 2020 Nov 09. PMID: 33161765; PMCID: PMC7911856.
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Auto-antibodies to p53 and the Subsequent Development of Colorectal Cancer in a U.S. Prospective Cohort Consortium.

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

Butt J, Blot WJ, Visvanathan K, Le Marchand L, Wilkens LR, Chen Y, Sesso HD, Teras L, Ryser MD, Hyslop T, Wassertheil-Smoller S, Tinker LF, Potter JD, Song M, Berndt SI, Waterboer T, Pawlita M, Epplein M.
PMID: 32972968
Cancer Epidemiol Biomarkers Prev. 2020 Dec;29(12):2729-2734. doi: 10.1158/1055-9965.EPI-20-0780. Epub 2020 Sep 24.

BACKGROUND: Auto-antibodies to tumor suppressor p53 are found in a subset of patients with colorectal cancer. A recent prospective study in the United States has reported a significant 1.8-fold increased odds for colorectal cancer development with prediagnostic seropositivity to...

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Butt J, Blot WJ, Visvanathan K, et al. Auto-antibodies to p53 and the Subsequent Development of Colorectal Cancer in a U.S. Prospective Cohort Consortium. Cancer Epidemiol Biomarkers Prev. 2020;29(12):2729-2734doi: 10.1158/1055-9965.EPI-20-0780.
Butt, J., Blot, W. J., Visvanathan, K., Le Marchand, L., Wilkens, L. R., Chen, Y., Sesso, H. D., Teras, L., Ryser, M. D., Hyslop, T., Wassertheil-Smoller, S., Tinker, L. F., Potter, J. D., Song, M., Berndt, S. I., Waterboer, T., Pawlita, M., & Epplein, M. (2020). Auto-antibodies to p53 and the Subsequent Development of Colorectal Cancer in a U.S. Prospective Cohort Consortium. Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology, 29(12), 2729-2734. https://doi.org/10.1158/1055-9965.EPI-20-0780
Butt, Julia, et al. "Auto-antibodies to p53 and the Subsequent Development of Colorectal Cancer in a U.S. Prospective Cohort Consortium." Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology vol. 29,12 (2020): 2729-2734. doi: https://doi.org/10.1158/1055-9965.EPI-20-0780
Butt J, Blot WJ, Visvanathan K, Le Marchand L, Wilkens LR, Chen Y, Sesso HD, Teras L, Ryser MD, Hyslop T, Wassertheil-Smoller S, Tinker LF, Potter JD, Song M, Berndt SI, Waterboer T, Pawlita M, Epplein M. Auto-antibodies to p53 and the Subsequent Development of Colorectal Cancer in a U.S. Prospective Cohort Consortium. Cancer Epidemiol Biomarkers Prev. 2020 Dec;29(12):2729-2734. doi: 10.1158/1055-9965.EPI-20-0780. Epub 2020 Sep 24. PMID: 32972968; PMCID: PMC7710535.
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Epigenetic mutation load is weakly correlated with epigenetic age acceleration.

Aging

Yan Q, Paul KC, Lu AT, Kusters C, Binder AM, Horvath S, Ritz B.
PMID: 32991324
Aging (Albany NY). 2020 Sep 29;12(18):17863-17894. doi: 10.18632/aging.103950. Epub 2020 Sep 29.

DNA methylation (DNAm) age estimators are widely used to study aging-related conditions. It is not yet known whether DNAm age is associated with the accumulation of stochastic epigenetic mutations (SEMs), which reflect dysfunctions of the epigenetic maintenance system. Here,...

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Yan Q, Paul KC, Lu AT, et al. Epigenetic mutation load is weakly correlated with epigenetic age acceleration. Aging (Albany NY). 2020;12(18):17863-17894doi: 10.18632/aging.103950.
Yan, Q., Paul, K. C., Lu, A. T., Kusters, C., Binder, A. M., Horvath, S., & Ritz, B. (2020). Epigenetic mutation load is weakly correlated with epigenetic age acceleration. Aging, 12(18), 17863-17894. https://doi.org/10.18632/aging.103950
Yan, Qi, et al. "Epigenetic mutation load is weakly correlated with epigenetic age acceleration." Aging vol. 12,18 (2020): 17863-17894. doi: https://doi.org/10.18632/aging.103950
Yan Q, Paul KC, Lu AT, Kusters C, Binder AM, Horvath S, Ritz B. Epigenetic mutation load is weakly correlated with epigenetic age acceleration. Aging (Albany NY). 2020 Sep 29;12(18):17863-17894. doi: 10.18632/aging.103950. Epub 2020 Sep 29. PMID: 32991324; PMCID: PMC7585066.
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Polygenic Scores for Height in Admixed Populations.

G3 (Bethesda, Md.)

Bitarello BD, Mathieson I.
PMID: 32878958
G3 (Bethesda). 2020 Nov 05;10(11):4027-4036. doi: 10.1534/g3.120.401658.

Polygenic risk scores (PRS) use the results of genome-wide association studies (GWAS) to predict quantitative phenotypes or disease risk at an individual level, and provide a potential route to the use of genetic data in personalized medical care. However,...

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Bitarello BD, Mathieson I. Polygenic Scores for Height in Admixed Populations. G3 (Bethesda). 2020;10(11):4027-4036doi: 10.1534/g3.120.401658.
Bitarello, B. D., & Mathieson, I. (2020). Polygenic Scores for Height in Admixed Populations. G3 (Bethesda, Md.), 10(11), 4027-4036. https://doi.org/10.1534/g3.120.401658
Bitarello, Bárbara D, and Mathieson, Iain. "Polygenic Scores for Height in Admixed Populations." G3 (Bethesda, Md.) vol. 10,11 (2020): 4027-4036. doi: https://doi.org/10.1534/g3.120.401658
Bitarello BD, Mathieson I. Polygenic Scores for Height in Admixed Populations. G3 (Bethesda). 2020 Nov 05;10(11):4027-4036. doi: 10.1534/g3.120.401658. PMID: 32878958; PMCID: PMC7642950.
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Associations between DNA methylation and BMI vary by metabolic health status: a potential link to disparate cardiovascular outcomes.

Clinical epigenetics

Do WL, Nguyen S, Yao J, Guo X, Whitsel EA, Demerath E, Rotter JI, Rich SS, Lange L, Ding J, Van Den Berg D, Liu Y, Justice AE, Guan W, Horvath S, Assimes TL, Bhatti P, Jordahl K, Shadyab A, Valencia CI, Stein AD, Smith A, Staimez LR, Conneely K, Narayan KMV.
PMID: 34937574
Clin Epigenetics. 2021 Dec 22;13(1):230. doi: 10.1186/s13148-021-01194-3.

BACKGROUND: Body mass index (BMI), a well-known risk factor for poor cardiovascular outcomes, is associated with differential DNA methylation (DNAm). Similarly, metabolic health has also been associated with changes in DNAm. It is unclear how overall metabolic health outside...

Cite
Do WL, Nguyen S, Yao J, et al. Associations between DNA methylation and BMI vary by metabolic health status: a potential link to disparate cardiovascular outcomes. Clin Epigenetics. 2021;13(1):230doi: 10.1186/s13148-021-01194-3.
Do, W. L., Nguyen, S., Yao, J., Guo, X., Whitsel, E. A., Demerath, E., Rotter, J. I., Rich, S. S., Lange, L., Ding, J., Van Den Berg, D., Liu, Y., Justice, A. E., Guan, W., Horvath, S., Assimes, T. L., Bhatti, P., Jordahl, K., Shadyab, A., Valencia, C. I., Stein, A. D., Smith, A., Staimez, L. R., Conneely, K., & Narayan, K. M. V. (2021). Associations between DNA methylation and BMI vary by metabolic health status: a potential link to disparate cardiovascular outcomes. Clinical epigenetics, 13(1), 230. https://doi.org/10.1186/s13148-021-01194-3
Do, Whitney L, et al. "Associations between DNA methylation and BMI vary by metabolic health status: a potential link to disparate cardiovascular outcomes." Clinical epigenetics vol. 13,1 (2021): 230. doi: https://doi.org/10.1186/s13148-021-01194-3
Do WL, Nguyen S, Yao J, Guo X, Whitsel EA, Demerath E, Rotter JI, Rich SS, Lange L, Ding J, Van Den Berg D, Liu Y, Justice AE, Guan W, Horvath S, Assimes TL, Bhatti P, Jordahl K, Shadyab A, Valencia CI, Stein AD, Smith A, Staimez LR, Conneely K, Narayan KMV. Associations between DNA methylation and BMI vary by metabolic health status: a potential link to disparate cardiovascular outcomes. Clin Epigenetics. 2021 Dec 22;13(1):230. doi: 10.1186/s13148-021-01194-3. PMID: 34937574.
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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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