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Using genetics to detangle the relationships between red cell distribution width and cardiovascular diseases: a unique role for body mass index
OBJECTIVE: Red cell distribution width (RDW) is an enigmatic biomarker associated with the presence and severity of multiple cardiovascular diseases (CVDs). It is unclear whether elevated RDW contributes to, results from, or is pleiotropically related to CVDs. We used contemporary genetic techniques...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BMJ Publishing Group
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8442102/ https://www.ncbi.nlm.nih.gov/pubmed/34521746 http://dx.doi.org/10.1136/openhrt-2021-001713 |
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author | Thayer, Timothy E Huang, Shi Farber-Eger, Eric Beckman, Joshua A Brittain, Evan L Mosley, Jonathan D Wells, Quinn S |
author_facet | Thayer, Timothy E Huang, Shi Farber-Eger, Eric Beckman, Joshua A Brittain, Evan L Mosley, Jonathan D Wells, Quinn S |
author_sort | Thayer, Timothy E |
collection | PubMed |
description | OBJECTIVE: Red cell distribution width (RDW) is an enigmatic biomarker associated with the presence and severity of multiple cardiovascular diseases (CVDs). It is unclear whether elevated RDW contributes to, results from, or is pleiotropically related to CVDs. We used contemporary genetic techniques to probe for evidence of aetiological associations between RDW, CVDs, and CVD risk factors. METHODS: Using an electronic health record (EHR)-based cohort, we built and deployed a genetic risk score (GRS) for RDW to test for shared genetic architecture between RDW and the cardiovascular phenome. We also created GRSs for common CVDs (coronary artery disease, heart failure, atrial fibrillation, peripheral arterial disease, venous thromboembolism) and CVD risk factors (body mass index (BMI), low-density lipoprotein, high-density lipoprotein, systolic blood pressure, diastolic blood pressure, serum triglycerides, estimated glomerular filtration rate, diabetes mellitus) to test each for association with RDW. Significant GRS associations were further interrogated by two-sample Mendelian randomisation (MR). In a separate EHR-based cohort, RDW values from 1-year pre-gastric bypass surgery and 1–2 years post-gastric bypass surgery were compared. RESULTS: In a cohort of 17 937 subjects, there were no significant associations between the RDW GRS and CVDs. Of the CVDs and CVD risk factors, only genetically predicted BMI was associated with RDW. In subsequent analyses, BMI was associated with RDW by multiple MR methods. In subjects undergoing bariatric surgery, RDW decreased postsurgery and followed a linear relationship with BMI change. CONCLUSIONS: RDW is unlikely to be aetiologically upstream or downstream of CVDs or CVD risk factors except for BMI. Genetic and clinical association analyses support an aetiological relationship between BMI and RDW. |
format | Online Article Text |
id | pubmed-8442102 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | BMJ Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-84421022021-09-29 Using genetics to detangle the relationships between red cell distribution width and cardiovascular diseases: a unique role for body mass index Thayer, Timothy E Huang, Shi Farber-Eger, Eric Beckman, Joshua A Brittain, Evan L Mosley, Jonathan D Wells, Quinn S Open Heart Cardiac Risk Factors and Prevention OBJECTIVE: Red cell distribution width (RDW) is an enigmatic biomarker associated with the presence and severity of multiple cardiovascular diseases (CVDs). It is unclear whether elevated RDW contributes to, results from, or is pleiotropically related to CVDs. We used contemporary genetic techniques to probe for evidence of aetiological associations between RDW, CVDs, and CVD risk factors. METHODS: Using an electronic health record (EHR)-based cohort, we built and deployed a genetic risk score (GRS) for RDW to test for shared genetic architecture between RDW and the cardiovascular phenome. We also created GRSs for common CVDs (coronary artery disease, heart failure, atrial fibrillation, peripheral arterial disease, venous thromboembolism) and CVD risk factors (body mass index (BMI), low-density lipoprotein, high-density lipoprotein, systolic blood pressure, diastolic blood pressure, serum triglycerides, estimated glomerular filtration rate, diabetes mellitus) to test each for association with RDW. Significant GRS associations were further interrogated by two-sample Mendelian randomisation (MR). In a separate EHR-based cohort, RDW values from 1-year pre-gastric bypass surgery and 1–2 years post-gastric bypass surgery were compared. RESULTS: In a cohort of 17 937 subjects, there were no significant associations between the RDW GRS and CVDs. Of the CVDs and CVD risk factors, only genetically predicted BMI was associated with RDW. In subsequent analyses, BMI was associated with RDW by multiple MR methods. In subjects undergoing bariatric surgery, RDW decreased postsurgery and followed a linear relationship with BMI change. CONCLUSIONS: RDW is unlikely to be aetiologically upstream or downstream of CVDs or CVD risk factors except for BMI. Genetic and clinical association analyses support an aetiological relationship between BMI and RDW. BMJ Publishing Group 2021-09-14 /pmc/articles/PMC8442102/ /pubmed/34521746 http://dx.doi.org/10.1136/openhrt-2021-001713 Text en © Author(s) (or their employer(s)) 2021. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. https://creativecommons.org/licenses/by-nc/4.0/This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) . |
spellingShingle | Cardiac Risk Factors and Prevention Thayer, Timothy E Huang, Shi Farber-Eger, Eric Beckman, Joshua A Brittain, Evan L Mosley, Jonathan D Wells, Quinn S Using genetics to detangle the relationships between red cell distribution width and cardiovascular diseases: a unique role for body mass index |
title | Using genetics to detangle the relationships between red cell distribution width and cardiovascular diseases: a unique role for body mass index |
title_full | Using genetics to detangle the relationships between red cell distribution width and cardiovascular diseases: a unique role for body mass index |
title_fullStr | Using genetics to detangle the relationships between red cell distribution width and cardiovascular diseases: a unique role for body mass index |
title_full_unstemmed | Using genetics to detangle the relationships between red cell distribution width and cardiovascular diseases: a unique role for body mass index |
title_short | Using genetics to detangle the relationships between red cell distribution width and cardiovascular diseases: a unique role for body mass index |
title_sort | using genetics to detangle the relationships between red cell distribution width and cardiovascular diseases: a unique role for body mass index |
topic | Cardiac Risk Factors and Prevention |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8442102/ https://www.ncbi.nlm.nih.gov/pubmed/34521746 http://dx.doi.org/10.1136/openhrt-2021-001713 |
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