Type 2 Diabetes and Atrial Fibrillation: Evaluating Causal and Pleiotropic Pathways Using Mendelian Randomization

Background Observational associations between type 2 diabetes (T2D) and atrial fibrillation (AF) have been established, but causality remains undetermined. We performed Mendelian randomization (MR) to study causal effects of genetically predicted T2D on AF risk, independent of cardiometabolic risk f...

Full description

Bibliographic Details
Main Authors: Rohin K. Reddy, Maddalena Ardissino, Fu Siong Ng
Format: Article
Language:English
Published: Wiley 2023-09-01
Series:Journal of the American Heart Association: Cardiovascular and Cerebrovascular Disease
Subjects:
Online Access:https://www.ahajournals.org/doi/10.1161/JAHA.123.030298
_version_ 1797689817534824448
author Rohin K. Reddy
Maddalena Ardissino
Fu Siong Ng
author_facet Rohin K. Reddy
Maddalena Ardissino
Fu Siong Ng
author_sort Rohin K. Reddy
collection DOAJ
description Background Observational associations between type 2 diabetes (T2D) and atrial fibrillation (AF) have been established, but causality remains undetermined. We performed Mendelian randomization (MR) to study causal effects of genetically predicted T2D on AF risk, independent of cardiometabolic risk factors. Methods and Results Instrumental variables included 182 uncorrelated single nucleotide polymorphisms associated with T2D at genome‐wide significance (P <5×10−8). Genetic association estimates for cardiometabolic exposures were obtained from genome‐wide association studies including 188 577 individuals for low‐density lipoprotein‐C, 694 649 individuals for body mass index, and 757 601 for systolic blood pressure. Two‐sample, inverse‐variance weighted MR formed the primary analyses. The MR‐TRYX approach was used to dissect potential pleiotropic pathways, with multivariable MR performed to investigate cardiometabolic mediation. Genetically predicted T2D associated with increased AF liability in univariable MR (odds ratio [OR], 1.08 [95% CI, 1.02–1.13], P=0.003). Sensitivity analyses indicated potential pleiotropy, with radial MR identifying 4 outlier single nucleotide polymorphisms that were likely contributors. Phenomic scanning on MR‐base and subsequent least absolute shrinkage and selection operator regression allowed prioritization of 7 candidate traits. The outlier‐adjusted effect estimate remained consistent with the original inverse‐variance weighted estimate (OR, 1.07 [95% CI, 1.02–1.12], P=0.008). On multivariable MR, T2D remained associated with increased AF liability after adjustment for low‐density lipoprotein‐C and body mass index. Following adjustment for systolic blood pressure, the relationship between T2D and AF became nonsignificant (OR, 1.04 [95% CI, 0.95–1.13], P=0.40). Conclusions These data provide novel genetic evidence that while T2D likely causally associates with AF, mediation via systolic blood pressure exists. Endeavoring to lower systolic blood pressure alongside achieving normoglycemia may provide particular benefit on AF risk in patients with T2D.
first_indexed 2024-03-12T01:50:53Z
format Article
id doaj.art-049a2df2543d4de78d66181c25a26899
institution Directory Open Access Journal
issn 2047-9980
language English
last_indexed 2024-03-12T01:50:53Z
publishDate 2023-09-01
publisher Wiley
record_format Article
series Journal of the American Heart Association: Cardiovascular and Cerebrovascular Disease
spelling doaj.art-049a2df2543d4de78d66181c25a268992023-09-08T12:39:35ZengWileyJournal of the American Heart Association: Cardiovascular and Cerebrovascular Disease2047-99802023-09-01121710.1161/JAHA.123.030298Type 2 Diabetes and Atrial Fibrillation: Evaluating Causal and Pleiotropic Pathways Using Mendelian RandomizationRohin K. Reddy0Maddalena Ardissino1Fu Siong Ng2National Heart and Lung Institute, Imperial College London London United KingdomNational Heart and Lung Institute, Imperial College London London United KingdomNational Heart and Lung Institute, Imperial College London London United KingdomBackground Observational associations between type 2 diabetes (T2D) and atrial fibrillation (AF) have been established, but causality remains undetermined. We performed Mendelian randomization (MR) to study causal effects of genetically predicted T2D on AF risk, independent of cardiometabolic risk factors. Methods and Results Instrumental variables included 182 uncorrelated single nucleotide polymorphisms associated with T2D at genome‐wide significance (P <5×10−8). Genetic association estimates for cardiometabolic exposures were obtained from genome‐wide association studies including 188 577 individuals for low‐density lipoprotein‐C, 694 649 individuals for body mass index, and 757 601 for systolic blood pressure. Two‐sample, inverse‐variance weighted MR formed the primary analyses. The MR‐TRYX approach was used to dissect potential pleiotropic pathways, with multivariable MR performed to investigate cardiometabolic mediation. Genetically predicted T2D associated with increased AF liability in univariable MR (odds ratio [OR], 1.08 [95% CI, 1.02–1.13], P=0.003). Sensitivity analyses indicated potential pleiotropy, with radial MR identifying 4 outlier single nucleotide polymorphisms that were likely contributors. Phenomic scanning on MR‐base and subsequent least absolute shrinkage and selection operator regression allowed prioritization of 7 candidate traits. The outlier‐adjusted effect estimate remained consistent with the original inverse‐variance weighted estimate (OR, 1.07 [95% CI, 1.02–1.12], P=0.008). On multivariable MR, T2D remained associated with increased AF liability after adjustment for low‐density lipoprotein‐C and body mass index. Following adjustment for systolic blood pressure, the relationship between T2D and AF became nonsignificant (OR, 1.04 [95% CI, 0.95–1.13], P=0.40). Conclusions These data provide novel genetic evidence that while T2D likely causally associates with AF, mediation via systolic blood pressure exists. Endeavoring to lower systolic blood pressure alongside achieving normoglycemia may provide particular benefit on AF risk in patients with T2D.https://www.ahajournals.org/doi/10.1161/JAHA.123.030298atrial fibrillationdiabetes, type 2genesMendelian randomization
spellingShingle Rohin K. Reddy
Maddalena Ardissino
Fu Siong Ng
Type 2 Diabetes and Atrial Fibrillation: Evaluating Causal and Pleiotropic Pathways Using Mendelian Randomization
Journal of the American Heart Association: Cardiovascular and Cerebrovascular Disease
atrial fibrillation
diabetes, type 2
genes
Mendelian randomization
title Type 2 Diabetes and Atrial Fibrillation: Evaluating Causal and Pleiotropic Pathways Using Mendelian Randomization
title_full Type 2 Diabetes and Atrial Fibrillation: Evaluating Causal and Pleiotropic Pathways Using Mendelian Randomization
title_fullStr Type 2 Diabetes and Atrial Fibrillation: Evaluating Causal and Pleiotropic Pathways Using Mendelian Randomization
title_full_unstemmed Type 2 Diabetes and Atrial Fibrillation: Evaluating Causal and Pleiotropic Pathways Using Mendelian Randomization
title_short Type 2 Diabetes and Atrial Fibrillation: Evaluating Causal and Pleiotropic Pathways Using Mendelian Randomization
title_sort type 2 diabetes and atrial fibrillation evaluating causal and pleiotropic pathways using mendelian randomization
topic atrial fibrillation
diabetes, type 2
genes
Mendelian randomization
url https://www.ahajournals.org/doi/10.1161/JAHA.123.030298
work_keys_str_mv AT rohinkreddy type2diabetesandatrialfibrillationevaluatingcausalandpleiotropicpathwaysusingmendelianrandomization
AT maddalenaardissino type2diabetesandatrialfibrillationevaluatingcausalandpleiotropicpathwaysusingmendelianrandomization
AT fusiongng type2diabetesandatrialfibrillationevaluatingcausalandpleiotropicpathwaysusingmendelianrandomization