Relevant bibliographies by topics / Hypertension, genetics, epidemiology, mendelian randomization

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  1. Journal articles
  2. Dissertations / Theses
  3. Books

Academic literature on the topic 'Hypertension, genetics, epidemiology, mendelian randomization'

Author: Grafiati
Published: 11 March 2023

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Journal articles on the topic "Hypertension, genetics, epidemiology, mendelian randomization"

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Hartwig, Fernando Pires, Neil Martin Davies, and George Davey Smith. "Bias in Mendelian randomization due to assortative mating." Genetic Epidemiology 42, no. 7 (2018): 608–20. http://dx.doi.org/10.1002/gepi.22138.

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Allman, Phillip H., Inmaculada Aban, Dustin M. Long, et al. "Mendelian randomization in the multivariate general linear model framework." Genetic Epidemiology 46, no. 1 (2021): 17–31. http://dx.doi.org/10.1002/gepi.22435.

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Burgess, Stephen, Adam Butterworth, and Simon G. Thompson. "Mendelian Randomization Analysis With Multiple Genetic Variants Using Summarized Data." Genetic Epidemiology 37, no. 7 (2013): 658–65. http://dx.doi.org/10.1002/gepi.21758.

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Burgess, Stephen, Neil M. Davies, and Simon G. Thompson. "Bias due to participant overlap in two‐sample Mendelian randomization." Genetic Epidemiology 40, no. 7 (2016): 597–608. http://dx.doi.org/10.1002/gepi.21998.

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Jiang, Lai, Karim Oualkacha, Vanessa Didelez, et al. "Constrained instruments and their application to Mendelian randomization with pleiotropy." Genetic Epidemiology 43, no. 4 (2019): 373–401. http://dx.doi.org/10.1002/gepi.22184.

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Deng, Lu, Han Zhang, and Kai Yu. "Power calculation for the general two‐sample Mendelian randomization analysis." Genetic Epidemiology 44, no. 3 (2020): 290–99. http://dx.doi.org/10.1002/gepi.22284.

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Slob, Eric A. W., and Stephen Burgess. "A comparison of robust Mendelian randomization methods using summary data." Genetic Epidemiology 44, no. 4 (2020): 313–29. http://dx.doi.org/10.1002/gepi.22295.

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Meng, Xiangrui, Xue Li, Maria N. Timofeeva, et al. "Phenome-wide Mendelian-randomization study of genetically determined vitamin D on multiple health outcomes using the UK Biobank study." International Journal of Epidemiology 48, no. 5 (2019): 1425–34. http://dx.doi.org/10.1093/ije/dyz182.

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Abstract Background Vitamin D deficiency is highly prevalent across the globe. Existing studies suggest that a low vitamin D level is associated with more than 130 outcomes. Exploring the causal role of vitamin D in health outcomes could support or question vitamin D supplementation. Methods We carried out a systematic literature review of previous Mendelian-randomization studies on vitamin D. We then implemented a Mendelian Randomization–Phenome Wide Association Study (MR-PheWAS) analysis on data from 339 256 individuals of White British origin from UK Biobank. We first ran a PheWAS analysis
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Chang, Y. J., L. C. Wang, C. K. Chen, C. I. Hsieh, and C. F. Kuo. "OP0193 EVALUATION OF THE CAUSAL EFFECTS BETWEEN GOUT AND HYPERTENSION: A MENDELIAN RANDOMIZATION STUDY." Annals of the Rheumatic Diseases 80, Suppl 1 (2021): 116–17. http://dx.doi.org/10.1136/annrheumdis-2021-eular.2061.

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Background:Gout is the most common inflammatory arthritis worldwide associated with comorbidities that may impair well-being and reduce longevity. Epidemiological evidence generally supports that gout patients are at high risk of hypertension. However, the causality between gout and hypertension is uncertain since confounding and other types of bias are difficult to contain in the observational study.Objectives:To test the causal link between gout and hypertension using a Mendelian Randomization (MR) analysis.Methods:A mendelian randomization analysis was conducted using individual patient dat
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Evans, David M., Gunn-Helen Moen, Liang-Dar Hwang, Debbie A. Lawlor, and Nicole M. Warrington. "Elucidating the role of maternal environmental exposures on offspring health and disease using two-sample Mendelian randomization." International Journal of Epidemiology 48, no. 3 (2019): 861–75. http://dx.doi.org/10.1093/ije/dyz019.

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Abstract Background There is considerable interest in estimating the causal effect of a range of maternal environmental exposures on offspring health-related outcomes. Previous attempts to do this using Mendelian randomization methodologies have been hampered by the paucity of epidemiological cohorts with large numbers of genotyped mother–offspring pairs. Methods We describe a new statistical model that we have created which can be used to estimate the effect of maternal genotypes on offspring outcomes conditional on offspring genotype, using both individual-level and summary-results data, eve
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Dissertations / Theses on the topic "Hypertension, genetics, epidemiology, mendelian randomization"

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Sliz, E. (Eeva). "Genetics and molecular epidemiology of metabolic syndrome-related traits:focus on metabolic profiling of lipid-lowering therapies and fatty liver, and the role of genetic factors in inflammatory load." Doctoral thesis, Oulun yliopisto, 2019. http://urn.fi/urn:isbn:9789526222554.

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Abstract Metabolic syndrome is a constellation of metabolic abnormalities predisposing to cardiovascular diseases (CVD), type 2 diabetes, and increased mortality. Due to the high prevalence and severe co-morbidities, metabolic syndrome constitutes a major burden for both public health and the global economy. Improved understanding of the detailed molecular mechanisms could provide novel strategies for the treatment and preferably prevention of the metabolic syndrome-related health issues. Recent advancements in ‘omics’ technologies have facilitated the development of novel tools to examine the
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alice, giontella. "Investigating blood pressure determinants using genetic epidemiology." Doctoral thesis, 2022. https://hdl.handle.net/11562/1078088.

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The heritability of blood pressure (BP) and hypertension is mainly due to a polygenic background. Thanks to the advance of Genome-wide association studies (GWAS, over the last two decades, more than 1,000 single nucleotide polymorphisms (SNPs) have been identified to be associated with BP traits. These, taken singularly, have a small effect on BP, but when grouped, they can explain 30-50% of the heritability of BP. Different strategies, classified under the field of genetic epidemiology, have evolved to exploit and interpret the genetic determinants of complex diseases. These include the const
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Books on the topic "Hypertension, genetics, epidemiology, mendelian randomization"

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author, Thompson Simon G., ed. Mendelian randomization: Methods for using genetic variants in causal estimation. CRC Press, Taylor & Francis Group, 2015.

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Burgess, Stephen, and S. G. Thompson. Mendelian Randomization. Taylor & Francis Group, 2021.

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Burgess, Stephen, and S. G. Thompson. Mendelian Randomization. Taylor & Francis Group, 2021.

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Burgess, Stephen, and Simon G. Thompson. Mendelian Randomization: Methods for Causal Inference Using Genetic Variants. Taylor & Francis Group, 2021.

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5

Burgess, Stephen, and Simon G. Thompson. Mendelian Randomization: Methods for Causal Inference Using Genetic Variants. Taylor & Francis Group, 2021.

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Mendelian Randomization: Methods for Causal Inference Using Genetic Variants. Taylor & Francis Group, 2021.

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Mendelian Randomization: Methods for Using Genetic Variants in Causal Estimation. Taylor & Francis Group, 2015.

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8

Burgess, Stephen, and Simon G. Thompson. Mendelian Randomization: Methods for Using Genetic Variants in Causal Estimation. Taylor & Francis Group, 2015.

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