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Mendelian 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...
Autores principales: | , , |
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Formato: | Texto |
Lenguaje: | English |
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BioMed Central
2009
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2795944/ https://www.ncbi.nlm.nih.gov/pubmed/20018037 |
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author | Morris, Nathan J Gray-McGuire, Courtney Stein, Catherine M |
author_facet | Morris, Nathan J Gray-McGuire, Courtney Stein, Catherine M |
author_sort | Morris, Nathan J |
collection | PubMed |
description | 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. We illustrate our method to measure the causal influence of low-density lipoprotein on high-density lipoprotein, body mass index, triglycerides, and systolic blood pressure. We use the Framingham Heart Study data as distributed to participants in the Genetics Analysis Workshop 16. |
format | Text |
id | pubmed-2795944 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2009 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-27959442009-12-18 Mendelian randomization in family data Morris, Nathan J Gray-McGuire, Courtney Stein, Catherine M BMC Proc Proceedings 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. We illustrate our method to measure the causal influence of low-density lipoprotein on high-density lipoprotein, body mass index, triglycerides, and systolic blood pressure. We use the Framingham Heart Study data as distributed to participants in the Genetics Analysis Workshop 16. BioMed Central 2009-12-15 /pmc/articles/PMC2795944/ /pubmed/20018037 Text en Copyright ©2009 Morris et al; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Proceedings Morris, Nathan J Gray-McGuire, Courtney Stein, Catherine M Mendelian randomization in family data |
title | Mendelian randomization in family data |
title_full | Mendelian randomization in family data |
title_fullStr | Mendelian randomization in family data |
title_full_unstemmed | Mendelian randomization in family data |
title_short | Mendelian randomization in family data |
title_sort | mendelian randomization in family data |
topic | Proceedings |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2795944/ https://www.ncbi.nlm.nih.gov/pubmed/20018037 |
work_keys_str_mv | AT morrisnathanj mendelianrandomizationinfamilydata AT graymcguirecourtney mendelianrandomizationinfamilydata AT steincatherinem mendelianrandomizationinfamilydata |