Mendelian randomization: A biologist's perspective
نویسندگان
چکیده
منابع مشابه
5. Mendelian randomization
Associations between modifiable exposures and disease seen in observational epidemiology are sometimes confounded and thus misleading, despite our best efforts to improve the design and analysis of studies. Mendelian randomization, the random assortment of genes from parents to offspring that occurs during gamete formation and conception provides one method for assessing the causal nature of so...
متن کاملMendelian Randomization Causal Analysis Adiposity as a cause of cardiovascular disease: a Mendelian randomization study
Background: Adiposity, as indicated by body mass index (BMI), has been associated with risk of cardiovascular diseases in epidemiological studies. We aimed to investigate if these associations are causal, using Mendelian randomization (MR) methods. Methods: The associations of BMI with cardiovascular outcomes [coronary heart disease (CHD), heart failure and ischaemic stroke], and associations o...
متن کاملPleiotropy-robust Mendelian randomization.
Background The potential of Mendelian randomization studies is rapidly expanding due to: (i) the growing power of genome-wide association study (GWAS) meta-analyses to detect genetic variants associated with several exposures; and (ii) the increasing availability of these genetic variants in large-scale surveys. However, without a proper biological understanding of the pleiotropic working of ge...
متن کاملMendelian randomization in family data
The phrase "mendelian randomization" has become associated with the use of genetic polymorphisms to uncover causal relationships between phenotypic variables. The statistical methods useful in mendelian randomization are known as instrumental variable techniques. We present an approach to instrumental variable estimation that is useful in family data and is robust to the use of weak instruments...
متن کاملMendelian Randomization with a Binary Outcome
Analogous to randomized clinical trials (RCT), Mendelian randomization (MR) divides subjects into two or more groups. However, MR uses a genetic variable, such as the state of a certain gene, to form the groups. The state of the gene is assumed to be random. Using two-stage least squares and making several assumptions, the causal impact of an exposure variable on the outcome variable can be mea...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Journal of the Practice of Cardiovascular Sciences
سال: 2016
ISSN: 2395-5414
DOI: 10.4103/jpcs.jpcs_62_16