Results 1 to 10 of about 41,685 (246)

Relationship Between Migraine and Alzheimer's Disease: A Study of Mendelian Randomization [PDF]

Brain and Behavior
Background Given inconsistent evidence regarding the migraine‐Alzheimer's disease association, this Mendelian randomization (MR) study examines their potential causal relationship. Methods GWAS summary statistics for migraine and Alzheimer's disease were
Ran Bi, Weimin Zhao, Jiaoxuan Li, Songji Han, Haotian Qi, Jian Liu, Jinpu Wu, Shengxian Xu, Zhongda Sun, Zhenru Liu   +9 more
doaj   +2 more sources

Mendelian randomization

Nature Reviews Methods Primers, 2022
Mendelian randomization (MR) is a term that applies to the use of genetic variation to address causal questions about how modifiable exposures influence different outcomes. The principles of MR are based on Mendel's laws of inheritance and instrumental variable estimation methods, which enable the inference of causal effects in the presence of ...
Eleanor Sanderson, M. Maria Glymour, Michael V. Holmes, Hyunseung Kang, Jean Morrison, Marcus R. Munafò, Tom Palmer, C. Mary Schooling, Chris Wallace, Qingyuan Zhao, George Davey Smith   +10 more
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COVID-19 is associated with the risk of cardiovascular disease death: A two-sample Mendelian randomization study

Frontiers in Cardiovascular Medicine, 2022
ObjectiveThis study aimed to estimate the causal effects of Coronavirus disease 2019 susceptibility and hospitalization on cardiovascular disease death using two-sample Mendelian randomization analysis.MethodsWe used statistics from a genome-wide ...
Jia-peng Miao, Xiao-yu Gu, Rui-zheng Shi
doaj   +1 more source

Pleiotropy-robust Mendelian randomization [PDF]

International Journal of Epidemiology, 2016
AbstractBackgroundThe potential of Mendelian Randomization studies is rapidly expanding due to (i) the growing power of GWAS meta-analyses to detect genetic variants associated with several exposures, and (ii) the increasing availability of these genetic variants in large-scale surveys.
van Kippersluis, Hans, Rietveld, Cornelius A   +1 more
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MendelianRandomization v0.5.0: updates to an R package for performing Mendelian randomization analyses using summarized data [version 2; peer review: 1 approved, 2 approved with reservations]

Wellcome Open Research, 2020
The MendelianRandomization package is a software package written for the R software environment that implements methods for Mendelian randomization based on summarized data. In this manuscript, we describe functions that have been added to the package or
Jim R. Broadbent, Christopher N. Foley, Andrew J. Grant, Amy M. Mason, James R. Staley, Stephen Burgess   +5 more
doaj   +1 more source

Causal relationship between obesity and iron deficiency anemia: a two-sample Mendelian randomization study

Frontiers in Public Health, 2023
BackgroundObservational studies have suggested an association between obesity and iron deficiency anemia, but such studies are susceptible to reverse causation and residual confounding.
Tingting Wang, Qi Gao, Yuanyuan Yao, Ge Luo, Tao Lv, Guangxin Xu, Mingxia Liu, Jingpin Xu, Xuejie Li, Dawei Sun, Zhenzhen Cheng, Ying Wang, Chaomin Wu, Ruiyu Wang, Jingcheng Zou, Min Yan   +15 more
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Mendelian Randomization [PDF]

JAMA, 2009
Despite several observational studies showing that lipoprotein(a), or Lp(a), is associated with myocardial infarction (MI)1, 2, only circumstantial evidence exists regarding the causal nature of this association. Observational epidemiological studies, even with a sound prospective design, can provide hints to disease pathogenesis when the effect size ...
George Thanassoulis, Christopher J. O’Donnell   +1 more
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Understanding the Assumptions Underlying Mendelian Randomization [PDF]

European Journal of Human Genetics, 2021
With the rapidly increasing availability of large genetic data sets in recent years, Mendelian Randomization (MR) has quickly gained popularity as a novel secondary analysis method. Leveraging genetic variants as instrumental variables, MR can be used to estimate the causal effects of one phenotype on another even when experimental research is not ...
Christiaan de Leeuw, Jeanne Savage, Ioan Gabriel Bucur, Tom Heskes, Danielle Posthuma   +4 more
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Mendelian Randomization: Concepts and Scope [PDF]

Cold Spring Harbor Perspectives in Medicine, 2021
Mendelian randomization (MR) is a method of studying the causal effects of modifiable exposures (i.e., potential risk factors) on health, social, and economic outcomes using genetic variants associated with the specific exposures of interest. MR provides a more robust understanding of the influence of these exposures on outcomes because germline ...
Richmond, Rebecca, Davey Smith, George
openaire   +5 more sources

MendelianRandomization v0.9.0: updates to an R package for performing Mendelian randomization analyses using summarized data [version 1; peer review: 2 approved]

Wellcome Open Research, 2023
The MendelianRandomization package is a software package written for the R software environment that implements methods for Mendelian randomization based on summarized data.
Stephen Burgess, Ting Ye, Ashish Patel, Zhaotong Lin, Amy M. Mason, Haoran Xue, Benjamin Woolf, Siqi Xu   +7 more
doaj   +1 more source