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Misconceptions on the use of MR-Egger regression and the evaluation of the InSIDE assumption.

International journal of epidemiology

Bowden J.
PMID: 29025021
Int J Epidemiol. 2017 Dec 01;46(6):2097-2099. doi: 10.1093/ije/dyx192.

No abstract available.

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Bowden J. Misconceptions on the use of MR-Egger regression and the evaluation of the InSIDE assumption. Int J Epidemiol. 2017;46(6):2097-2099doi: 10.1093/ije/dyx192.
Bowden, J. (2017). Misconceptions on the use of MR-Egger regression and the evaluation of the InSIDE assumption. International journal of epidemiology, 46(6), 2097-2099. https://doi.org/10.1093/ije/dyx192
Bowden, Jack. "Misconceptions on the use of MR-Egger regression and the evaluation of the InSIDE assumption." International journal of epidemiology vol. 46,6 (2017): 2097-2099. doi: https://doi.org/10.1093/ije/dyx192
Bowden J. Misconceptions on the use of MR-Egger regression and the evaluation of the InSIDE assumption. Int J Epidemiol. 2017 Dec 01;46(6):2097-2099. doi: 10.1093/ije/dyx192. PMID: 29025021; PMCID: PMC5837449.
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Efficient design for Mendelian randomization studies: subsample and 2-sample instrumental variable estimators.

American journal of epidemiology

Pierce BL, Burgess S.
PMID: 23863760
Am J Epidemiol. 2013 Oct 01;178(7):1177-84. doi: 10.1093/aje/kwt084. Epub 2013 Jul 17.

Mendelian randomization (MR) is a method for estimating the causal relationship between an exposure and an outcome using a genetic factor as an instrumental variable (IV) for the exposure. In the traditional MR setting, data on the IV, exposure,...

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Pierce BL, Burgess S. Efficient design for Mendelian randomization studies: subsample and 2-sample instrumental variable estimators. Am J Epidemiol. 2013;178(7):1177-84doi: 10.1093/aje/kwt084.
Pierce, B. L., & Burgess, S. (2013). Efficient design for Mendelian randomization studies: subsample and 2-sample instrumental variable estimators. American journal of epidemiology, 178(7), 1177-84. https://doi.org/10.1093/aje/kwt084
Pierce, Brandon L, and Burgess, Stephen. "Efficient design for Mendelian randomization studies: subsample and 2-sample instrumental variable estimators." American journal of epidemiology vol. 178,7 (2013): 1177-84. doi: https://doi.org/10.1093/aje/kwt084
Pierce BL, Burgess S. Efficient design for Mendelian randomization studies: subsample and 2-sample instrumental variable estimators. Am J Epidemiol. 2013 Oct 01;178(7):1177-84. doi: 10.1093/aje/kwt084. Epub 2013 Jul 17. PMID: 23863760; PMCID: PMC3783091.
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Invited Commentary: Detecting Individual and Global Horizontal Pleiotropy in Mendelian Randomization-A Job for the Humble Heterogeneity Statistic?.

American journal of epidemiology

Bowden J, Hemani G, Davey Smith G.
PMID: 30188969
Am J Epidemiol. 2018 Dec 01;187(12):2681-2685. doi: 10.1093/aje/kwy185.

Mendelian randomization (MR) is gaining in recognition and popularity as a method for strengthening causal inference in epidemiology by utilizing genetic variants as instrumental variables. Concurrently with the explosion in empirical MR studies, there has been the steady production...

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Bowden J, Hemani G, Davey Smith G. Invited Commentary: Detecting Individual and Global Horizontal Pleiotropy in Mendelian Randomization-A Job for the Humble Heterogeneity Statistic?. Am J Epidemiol. 2018;187(12):2681-2685doi: 10.1093/aje/kwy185.
Bowden, J., Hemani, G., & Davey Smith, G. (2018). Invited Commentary: Detecting Individual and Global Horizontal Pleiotropy in Mendelian Randomization-A Job for the Humble Heterogeneity Statistic?. American journal of epidemiology, 187(12), 2681-2685. https://doi.org/10.1093/aje/kwy185
Bowden, Jack, et al. "Invited Commentary: Detecting Individual and Global Horizontal Pleiotropy in Mendelian Randomization-A Job for the Humble Heterogeneity Statistic?." American journal of epidemiology vol. 187,12 (2018): 2681-2685. doi: https://doi.org/10.1093/aje/kwy185
Bowden J, Hemani G, Davey Smith G. Invited Commentary: Detecting Individual and Global Horizontal Pleiotropy in Mendelian Randomization-A Job for the Humble Heterogeneity Statistic?. Am J Epidemiol. 2018 Dec 01;187(12):2681-2685. doi: 10.1093/aje/kwy185. PMID: 30188969; PMCID: PMC6269239.
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Beyond Mendelian randomization: how to interpret evidence of shared genetic predictors.

Journal of clinical epidemiology

Burgess S, Butterworth AS, Thompson JR.
PMID: 26291580
J Clin Epidemiol. 2016 Jan;69:208-16. doi: 10.1016/j.jclinepi.2015.08.001. Epub 2015 Aug 18.

OBJECTIVE: Mendelian randomization is a popular technique for assessing and estimating the causal effects of risk factors. If genetic variants which are instrumental variables for a risk factor are shown to be additionally associated with a disease outcome, then...

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Burgess S, Butterworth AS, Thompson JR. Beyond Mendelian randomization: how to interpret evidence of shared genetic predictors. J Clin Epidemiol. 2015;69:208-16doi: 10.1016/j.jclinepi.2015.08.001.
Burgess, S., Butterworth, A. S., & Thompson, J. R. (2016). Beyond Mendelian randomization: how to interpret evidence of shared genetic predictors. Journal of clinical epidemiology, 69208-16. https://doi.org/10.1016/j.jclinepi.2015.08.001
Burgess, Stephen, et al. "Beyond Mendelian randomization: how to interpret evidence of shared genetic predictors." Journal of clinical epidemiology vol. 69 (2016): 208-16. doi: https://doi.org/10.1016/j.jclinepi.2015.08.001
Burgess S, Butterworth AS, Thompson JR. Beyond Mendelian randomization: how to interpret evidence of shared genetic predictors. J Clin Epidemiol. 2016 Jan;69:208-16. doi: 10.1016/j.jclinepi.2015.08.001. Epub 2015 Aug 18. PMID: 26291580; PMCID: PMC4687951.
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Mendelian Randomization Analysis as a Tool to Gain Insights into Causes of Diseases: A Primer.

Journal of the American Society of Nephrology : JASN

Tin A, Köttgen A.
PMID: 34135084
J Am Soc Nephrol. 2021 Oct;32(10):2400-2407. doi: 10.1681/ASN.2020121760. Epub 2021 Jun 16.

Many Mendelian randomization (MR) studies have been published recently, with inferences on the causal relationships between risk factors and diseases that have potential implications for clinical research. In nephrology, MR methods have been applied to investigate potential causal relationships...

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Tin A, Köttgen A. Mendelian Randomization Analysis as a Tool to Gain Insights into Causes of Diseases: A Primer. J Am Soc Nephrol. 2021;32(10):2400-2407doi: 10.1681/ASN.2020121760.
Tin, A., & Köttgen, A. (2021). Mendelian Randomization Analysis as a Tool to Gain Insights into Causes of Diseases: A Primer. Journal of the American Society of Nephrology : JASN, 32(10), 2400-2407. https://doi.org/10.1681/ASN.2020121760
Tin, Adrienne, and Köttgen, Anna. "Mendelian Randomization Analysis as a Tool to Gain Insights into Causes of Diseases: A Primer." Journal of the American Society of Nephrology : JASN vol. 32,10 (2021): 2400-2407. doi: https://doi.org/10.1681/ASN.2020121760
Tin A, Köttgen A. Mendelian Randomization Analysis as a Tool to Gain Insights into Causes of Diseases: A Primer. J Am Soc Nephrol. 2021 Oct;32(10):2400-2407. doi: 10.1681/ASN.2020121760. Epub 2021 Jun 16. PMID: 34135084; PMCID: PMC8722812.
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Genetically Predicted Higher Educational Attainment Decreases the Risk of COVID-19 Susceptibility and Severity: A Mendelian Randomization Study.

Frontiers in public health

Jian Z, Wang M, Jin X, Wei X.
PMID: 35004565
Front Public Health. 2021 Dec 23;9:731962. doi: 10.3389/fpubh.2021.731962. eCollection 2021.

No abstract available.

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Jian Z, Wang M, Jin X, et al. Genetically Predicted Higher Educational Attainment Decreases the Risk of COVID-19 Susceptibility and Severity: A Mendelian Randomization Study. Front Public Health. 2021;9:731962doi: 10.3389/fpubh.2021.731962.
Jian, Z., Wang, M., Jin, X., & Wei, X. (2021). Genetically Predicted Higher Educational Attainment Decreases the Risk of COVID-19 Susceptibility and Severity: A Mendelian Randomization Study. Frontiers in public health, 9731962. https://doi.org/10.3389/fpubh.2021.731962
Jian, Zhongyu, et al. "Genetically Predicted Higher Educational Attainment Decreases the Risk of COVID-19 Susceptibility and Severity: A Mendelian Randomization Study." Frontiers in public health vol. 9 (2021): 731962. doi: https://doi.org/10.3389/fpubh.2021.731962
Jian Z, Wang M, Jin X, Wei X. Genetically Predicted Higher Educational Attainment Decreases the Risk of COVID-19 Susceptibility and Severity: A Mendelian Randomization Study. Front Public Health. 2021 Dec 23;9:731962. doi: 10.3389/fpubh.2021.731962. eCollection 2021. PMID: 35004565; PMCID: PMC8732991.
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Reciprocal interaction between depression and pain: results from a comprehensive bidirectional Mendelian randomization study and functional annotation analysis.

Pain

Tang B, Meng W, Hägg S, Burgess S, Jiang X.
PMID: 34924553
Pain. 2022 Jan 01;163(1):e40-e48. doi: 10.1097/j.pain.0000000000002305.

ABSTRACT: To understand a putative causal link for depression and pain, we retrieved summary statistics from genome-wide association studies conducted for pain at 7 different body sites (N = 151,922-226,683) and major depression disorder (MDD, Ncase/control = 246,363/561,190). We...

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Tang B, Meng W, Hägg S, et al. Reciprocal interaction between depression and pain: results from a comprehensive bidirectional Mendelian randomization study and functional annotation analysis. Pain. 2022;163(1):e40-e48doi: 10.1097/j.pain.0000000000002305.
Tang, B., Meng, W., Hägg, S., Burgess, S., & Jiang, X. (2022). Reciprocal interaction between depression and pain: results from a comprehensive bidirectional Mendelian randomization study and functional annotation analysis. Pain, 163(1), e40-e48. https://doi.org/10.1097/j.pain.0000000000002305
Tang, Bowen, et al. "Reciprocal interaction between depression and pain: results from a comprehensive bidirectional Mendelian randomization study and functional annotation analysis." Pain vol. 163,1 (2022): e40-e48. doi: https://doi.org/10.1097/j.pain.0000000000002305
Tang B, Meng W, Hägg S, Burgess S, Jiang X. Reciprocal interaction between depression and pain: results from a comprehensive bidirectional Mendelian randomization study and functional annotation analysis. Pain. 2022 Jan 01;163(1):e40-e48. doi: 10.1097/j.pain.0000000000002305. PMID: 34924553; PMCID: PMC8675051.
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Why clinicians should know about Mendelian randomization.

Rheumatology (Oxford, England)

Zhao SS, Mackie SL, Zheng J.
PMID: 33493347
Rheumatology (Oxford). 2021 Apr 06;60(4):1577-1579. doi: 10.1093/rheumatology/keab007.

No abstract available.

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Zhao SS, Mackie SL, Zheng J. Why clinicians should know about Mendelian randomization. Rheumatology (Oxford). 2021;60(4):1577-1579doi: 10.1093/rheumatology/keab007.
Zhao, S. S., Mackie, S. L., & Zheng, J. (2021). Why clinicians should know about Mendelian randomization. Rheumatology (Oxford, England), 60(4), 1577-1579. https://doi.org/10.1093/rheumatology/keab007
Zhao, Sizheng Steven, et al. "Why clinicians should know about Mendelian randomization." Rheumatology (Oxford, England) vol. 60,4 (2021): 1577-1579. doi: https://doi.org/10.1093/rheumatology/keab007
Zhao SS, Mackie SL, Zheng J. Why clinicians should know about Mendelian randomization. Rheumatology (Oxford). 2021 Apr 06;60(4):1577-1579. doi: 10.1093/rheumatology/keab007. PMID: 33493347.
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Identifying modifiable risk factors of lung cancer: Indications from Mendelian randomization.

PloS one

Ding J, Tu Z, Chen H, Liu Z.
PMID: 34662362
PLoS One. 2021 Oct 18;16(10):e0258498. doi: 10.1371/journal.pone.0258498. eCollection 2021.

BACKGROUND: Lung cancer is the major cause of mortality in tumor patients. While its incidence rate has recently declined, it is still far from satisfactory and its potential modifiable risk factors should be explored.METHODS: We performed a two-sample Mendelian...

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Ding J, Tu Z, Chen H, et al. Identifying modifiable risk factors of lung cancer: Indications from Mendelian randomization. PLoS One. 2021;16(10):e0258498doi: 10.1371/journal.pone.0258498.
Ding, J., Tu, Z., Chen, H., & Liu, Z. (2021). Identifying modifiable risk factors of lung cancer: Indications from Mendelian randomization. PloS one, 16(10), e0258498. https://doi.org/10.1371/journal.pone.0258498
Ding, Jie, et al. "Identifying modifiable risk factors of lung cancer: Indications from Mendelian randomization." PloS one vol. 16,10 (2021): e0258498. doi: https://doi.org/10.1371/journal.pone.0258498
Ding J, Tu Z, Chen H, Liu Z. Identifying modifiable risk factors of lung cancer: Indications from Mendelian randomization. PLoS One. 2021 Oct 18;16(10):e0258498. doi: 10.1371/journal.pone.0258498. eCollection 2021. PMID: 34662362; PMCID: PMC8523078.
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Association of physical activity and sedentary behavior with type 2 diabetes and glycemic traits: a two-sample Mendelian randomization study.

BMJ open diabetes research & care

Meisinger C, Linseisen J, Leitzmann M, Baurecht H, Baumeister SE.
PMID: 33293297
BMJ Open Diabetes Res Care. 2020 Dec;8(2). doi: 10.1136/bmjdrc-2020-001896.

INTRODUCTION: Observational studies suggest that physical activity lowers and sedentary behavior increases the risk of type 2 diabetes. Despite of some supportive trial data for physical activity, it is largely unresolved whether these relations are causal or due to...

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Meisinger C, Linseisen J, Leitzmann M, et al. Association of physical activity and sedentary behavior with type 2 diabetes and glycemic traits: a two-sample Mendelian randomization study. BMJ Open Diabetes Res Care. 2020;8(2)doi: 10.1136/bmjdrc-2020-001896.
Meisinger, C., Linseisen, J., Leitzmann, M., Baurecht, H., & Baumeister, S. E. (2020). Association of physical activity and sedentary behavior with type 2 diabetes and glycemic traits: a two-sample Mendelian randomization study. BMJ open diabetes research & care, 8(2), . https://doi.org/10.1136/bmjdrc-2020-001896
Meisinger, Christa, et al. "Association of physical activity and sedentary behavior with type 2 diabetes and glycemic traits: a two-sample Mendelian randomization study." BMJ open diabetes research & care vol. 8,2 (2020). doi: https://doi.org/10.1136/bmjdrc-2020-001896
Meisinger C, Linseisen J, Leitzmann M, Baurecht H, Baumeister SE. Association of physical activity and sedentary behavior with type 2 diabetes and glycemic traits: a two-sample Mendelian randomization study. BMJ Open Diabetes Res Care. 2020 Dec;8(2). doi: 10.1136/bmjdrc-2020-001896. PMID: 33293297; PMCID: PMC7725078.
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Genetically modulated educational attainment and coronary disease risk.

European heart journal

Zeng L, Ntalla I, Kessler T, Kastrati A, Erdmann J, Danesh J, Watkins H, Samani NJ, Deloukas P, Schunkert H.
PMID: 31170283
Eur Heart J. 2019 Aug 01;40(29):2413-2420. doi: 10.1093/eurheartj/ehz328.

AIMS: Genetic disposition and lifestyle factors are understood as independent components underlying the risk of multiple diseases. In this study, we aim to investigate the interplay between genetics, educational attainment-an important denominator of lifestyle-and coronary artery disease (CAD) risk.METHODS...

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Zeng L, Ntalla I, Kessler T, et al. Genetically modulated educational attainment and coronary disease risk. Eur Heart J. 2019;40(29):2413-2420doi: 10.1093/eurheartj/ehz328.
Zeng, L., Ntalla, I., Kessler, T., Kastrati, A., Erdmann, J., Danesh, J., Watkins, H., Samani, N. J., Deloukas, P., & Schunkert, H. (2019). Genetically modulated educational attainment and coronary disease risk. European heart journal, 40(29), 2413-2420. https://doi.org/10.1093/eurheartj/ehz328
Zeng, Lingyao, et al. "Genetically modulated educational attainment and coronary disease risk." European heart journal vol. 40,29 (2019): 2413-2420. doi: https://doi.org/10.1093/eurheartj/ehz328
Zeng L, Ntalla I, Kessler T, Kastrati A, Erdmann J, Danesh J, Watkins H, Samani NJ, Deloukas P, Schunkert H. Genetically modulated educational attainment and coronary disease risk. Eur Heart J. 2019 Aug 01;40(29):2413-2420. doi: 10.1093/eurheartj/ehz328. PMID: 31170283; PMCID: PMC6669407.
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Association of Educational Attainment With Adiposity, Type 2 Diabetes, and Coronary Artery Diseases: A Mendelian Randomization Study.

Frontiers in public health

Cao M, Cui B.
PMID: 32391302
Front Public Health. 2020 Apr 22;8:112. doi: 10.3389/fpubh.2020.00112. eCollection 2020.

No abstract available.

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Cao M, Cui B. Association of Educational Attainment With Adiposity, Type 2 Diabetes, and Coronary Artery Diseases: A Mendelian Randomization Study. Front Public Health. 2020;8:112doi: 10.3389/fpubh.2020.00112.
Cao, M., & Cui, B. (2020). Association of Educational Attainment With Adiposity, Type 2 Diabetes, and Coronary Artery Diseases: A Mendelian Randomization Study. Frontiers in public health, 8112. https://doi.org/10.3389/fpubh.2020.00112
Cao, Min, and Cui, Bin. "Association of Educational Attainment With Adiposity, Type 2 Diabetes, and Coronary Artery Diseases: A Mendelian Randomization Study." Frontiers in public health vol. 8 (2020): 112. doi: https://doi.org/10.3389/fpubh.2020.00112
Cao M, Cui B. Association of Educational Attainment With Adiposity, Type 2 Diabetes, and Coronary Artery Diseases: A Mendelian Randomization Study. Front Public Health. 2020 Apr 22;8:112. doi: 10.3389/fpubh.2020.00112. eCollection 2020. PMID: 32391302; PMCID: PMC7189805.
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Showing 1 to 12 of 52 entries