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A Mendelian Randomization Approach Using 3-HMG-Coenzyme-A Reductase Gene Variation to Evaluate the Association of Statin-Induced Low-Density Lipoprotein Cholesterol Lowering With Noncardiovascular Disease Phenotypes
IMPORTANCE: Observational studies suggest that statins, which inhibit 3-hydroxy-3-methylglutaryl coenzyme A (HMG-CoA) reductase, may be associated with beneficial effects in many noncardiovascular diseases. OBJECTIVE: To construct a weighted HMG-CoA reductase (HMGCR) gene genetic risk score (GRS) us...
Autores principales: | , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Medical Association
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8185593/ https://www.ncbi.nlm.nih.gov/pubmed/34097045 http://dx.doi.org/10.1001/jamanetworkopen.2021.12820 |
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author | Liu, Ge Shi, Mingjian Mosley, Jonathan D. Weng, Chunhua Zhang, Yanfei Lee, Ming Ta Michael Jarvik, Gail P. Hakonarson, Hakon Namjou-Khales, Bahram Sleiman, Patrick Luo, Yuan Mentch, Frank Denny, Joshua C. Linton, MacRae F. Wei, Wei-Qi Stein, C. Michael Feng, QiPing |
author_facet | Liu, Ge Shi, Mingjian Mosley, Jonathan D. Weng, Chunhua Zhang, Yanfei Lee, Ming Ta Michael Jarvik, Gail P. Hakonarson, Hakon Namjou-Khales, Bahram Sleiman, Patrick Luo, Yuan Mentch, Frank Denny, Joshua C. Linton, MacRae F. Wei, Wei-Qi Stein, C. Michael Feng, QiPing |
author_sort | Liu, Ge |
collection | PubMed |
description | IMPORTANCE: Observational studies suggest that statins, which inhibit 3-hydroxy-3-methylglutaryl coenzyme A (HMG-CoA) reductase, may be associated with beneficial effects in many noncardiovascular diseases. OBJECTIVE: To construct a weighted HMG-CoA reductase (HMGCR) gene genetic risk score (GRS) using variants in the HMGCR gene affecting low-density lipoprotein cholesterol as an instrumental variable for mendelian randomization analyses to test associations with candidate noncardiovascular phenotypes previously associated with statin use in observational studies. DESIGN, SETTING, AND PARTICIPANTS: This cohort study included 53 385 unrelated adults of European ancestry with genome-wide genotypes available from BioVU (a practice-based biobank, used for discovery) and 30 444 unrelated adults with European ancestry available in the Electronic Medical Records and Genomics (eMERGE; a research consortium that conducts genetic research using electronic medical records, used for replication). The study was conducted from February 6, 2015, through April 31, 2019; data analysis was performed from August 26, 2019, through December 22, 2020. INTERVENTIONS: An HMGCR GRS was calculated. MAIN OUTCOMES AND MEASURES: The association between the HMGCR GRS and the presence or absence of 22 noncardiovascular phenotypes previously associated with statin use in clinical studies. RESULTS: Of the 53 385 individuals in BioVU, 29 958 (56.1%) were women; mean (SD) age was 59.9 (15.6) years. The finding between the HMGCR GRS and the noncardiovascular phenotypes of interest in this cohort was significant only for type 2 diabetes. An HMGCR GRS equivalent to a 10-mg/dL decrease in the low-density lipoprotein cholesterol level was associated with an increased risk of type 2 diabetes (odds ratio [OR], 1.09; 95% CI, 1.04-1.15; P = 5.58 × 10(−4)). The HMGCR GRS was not associated with other phenotypes; the closest were increased risk of Parkinson disease (OR, 1.30; 95% CI, 1.07-1.58; P = .007) and kidney failure (OR, 1.18; 95% CI, 1.05-1.34; P = .008). Of the 30 444 individuals in eMERGE, 16 736 (55.0%) were women; mean (SD) age was 68.7 (15.4) years. The association between the HMGCR GRS and type 2 diabetes was replicated in this cohort (OR, 1.09; 95% CI, 1.01-1.17; P = .02); however, the HMGCR GRS was not associated with Parkinson disease (OR, 0.93; 95% CI, 0.75-1.16; P = .53) and kidney failure (OR, 1.18; 95% CI, 0.98-1.41; P = .08) in the eMERGE cohort. CONCLUSIONS AND RELEVANCE: A mendelian randomization approach using variants in the HMGCR gene replicated the association between statin use and increased type 2 diabetes risk but provided no strong evidence for pleiotropic effects of statin-induced decrease of the low-density lipoprotein cholesterol level on other diseases. |
format | Online Article Text |
id | pubmed-8185593 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | American Medical Association |
record_format | MEDLINE/PubMed |
spelling | pubmed-81855932021-06-10 A Mendelian Randomization Approach Using 3-HMG-Coenzyme-A Reductase Gene Variation to Evaluate the Association of Statin-Induced Low-Density Lipoprotein Cholesterol Lowering With Noncardiovascular Disease Phenotypes Liu, Ge Shi, Mingjian Mosley, Jonathan D. Weng, Chunhua Zhang, Yanfei Lee, Ming Ta Michael Jarvik, Gail P. Hakonarson, Hakon Namjou-Khales, Bahram Sleiman, Patrick Luo, Yuan Mentch, Frank Denny, Joshua C. Linton, MacRae F. Wei, Wei-Qi Stein, C. Michael Feng, QiPing JAMA Netw Open Original Investigation IMPORTANCE: Observational studies suggest that statins, which inhibit 3-hydroxy-3-methylglutaryl coenzyme A (HMG-CoA) reductase, may be associated with beneficial effects in many noncardiovascular diseases. OBJECTIVE: To construct a weighted HMG-CoA reductase (HMGCR) gene genetic risk score (GRS) using variants in the HMGCR gene affecting low-density lipoprotein cholesterol as an instrumental variable for mendelian randomization analyses to test associations with candidate noncardiovascular phenotypes previously associated with statin use in observational studies. DESIGN, SETTING, AND PARTICIPANTS: This cohort study included 53 385 unrelated adults of European ancestry with genome-wide genotypes available from BioVU (a practice-based biobank, used for discovery) and 30 444 unrelated adults with European ancestry available in the Electronic Medical Records and Genomics (eMERGE; a research consortium that conducts genetic research using electronic medical records, used for replication). The study was conducted from February 6, 2015, through April 31, 2019; data analysis was performed from August 26, 2019, through December 22, 2020. INTERVENTIONS: An HMGCR GRS was calculated. MAIN OUTCOMES AND MEASURES: The association between the HMGCR GRS and the presence or absence of 22 noncardiovascular phenotypes previously associated with statin use in clinical studies. RESULTS: Of the 53 385 individuals in BioVU, 29 958 (56.1%) were women; mean (SD) age was 59.9 (15.6) years. The finding between the HMGCR GRS and the noncardiovascular phenotypes of interest in this cohort was significant only for type 2 diabetes. An HMGCR GRS equivalent to a 10-mg/dL decrease in the low-density lipoprotein cholesterol level was associated with an increased risk of type 2 diabetes (odds ratio [OR], 1.09; 95% CI, 1.04-1.15; P = 5.58 × 10(−4)). The HMGCR GRS was not associated with other phenotypes; the closest were increased risk of Parkinson disease (OR, 1.30; 95% CI, 1.07-1.58; P = .007) and kidney failure (OR, 1.18; 95% CI, 1.05-1.34; P = .008). Of the 30 444 individuals in eMERGE, 16 736 (55.0%) were women; mean (SD) age was 68.7 (15.4) years. The association between the HMGCR GRS and type 2 diabetes was replicated in this cohort (OR, 1.09; 95% CI, 1.01-1.17; P = .02); however, the HMGCR GRS was not associated with Parkinson disease (OR, 0.93; 95% CI, 0.75-1.16; P = .53) and kidney failure (OR, 1.18; 95% CI, 0.98-1.41; P = .08) in the eMERGE cohort. CONCLUSIONS AND RELEVANCE: A mendelian randomization approach using variants in the HMGCR gene replicated the association between statin use and increased type 2 diabetes risk but provided no strong evidence for pleiotropic effects of statin-induced decrease of the low-density lipoprotein cholesterol level on other diseases. American Medical Association 2021-06-07 /pmc/articles/PMC8185593/ /pubmed/34097045 http://dx.doi.org/10.1001/jamanetworkopen.2021.12820 Text en Copyright 2021 Liu G et al. JAMA Network Open. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the CC-BY License. |
spellingShingle | Original Investigation Liu, Ge Shi, Mingjian Mosley, Jonathan D. Weng, Chunhua Zhang, Yanfei Lee, Ming Ta Michael Jarvik, Gail P. Hakonarson, Hakon Namjou-Khales, Bahram Sleiman, Patrick Luo, Yuan Mentch, Frank Denny, Joshua C. Linton, MacRae F. Wei, Wei-Qi Stein, C. Michael Feng, QiPing A Mendelian Randomization Approach Using 3-HMG-Coenzyme-A Reductase Gene Variation to Evaluate the Association of Statin-Induced Low-Density Lipoprotein Cholesterol Lowering With Noncardiovascular Disease Phenotypes |
title | A Mendelian Randomization Approach Using 3-HMG-Coenzyme-A Reductase Gene Variation to Evaluate the Association of Statin-Induced Low-Density Lipoprotein Cholesterol Lowering With Noncardiovascular Disease Phenotypes |
title_full | A Mendelian Randomization Approach Using 3-HMG-Coenzyme-A Reductase Gene Variation to Evaluate the Association of Statin-Induced Low-Density Lipoprotein Cholesterol Lowering With Noncardiovascular Disease Phenotypes |
title_fullStr | A Mendelian Randomization Approach Using 3-HMG-Coenzyme-A Reductase Gene Variation to Evaluate the Association of Statin-Induced Low-Density Lipoprotein Cholesterol Lowering With Noncardiovascular Disease Phenotypes |
title_full_unstemmed | A Mendelian Randomization Approach Using 3-HMG-Coenzyme-A Reductase Gene Variation to Evaluate the Association of Statin-Induced Low-Density Lipoprotein Cholesterol Lowering With Noncardiovascular Disease Phenotypes |
title_short | A Mendelian Randomization Approach Using 3-HMG-Coenzyme-A Reductase Gene Variation to Evaluate the Association of Statin-Induced Low-Density Lipoprotein Cholesterol Lowering With Noncardiovascular Disease Phenotypes |
title_sort | mendelian randomization approach using 3-hmg-coenzyme-a reductase gene variation to evaluate the association of statin-induced low-density lipoprotein cholesterol lowering with noncardiovascular disease phenotypes |
topic | Original Investigation |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8185593/ https://www.ncbi.nlm.nih.gov/pubmed/34097045 http://dx.doi.org/10.1001/jamanetworkopen.2021.12820 |
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