Identification of Clinical Drivers of Left Atrial Enlargement Through Genomics of Left Atrial Size

Author:

Agrawal Vineet12ORCID,Manouchehri Ali1,Vaitinadin Nataraja S.3,Shi Mingjian4ORCID,Bagheri Minoo1ORCID,Gupta Deepak K.1ORCID,Kullo Iftikhar J.5ORCID,Luo Yuan6ORCID,McNally Elizabeth M.7ORCID,Puckelwartz Megan J.78ORCID,Ferguson Jane F.1ORCID,Wells Quinn S.1ORCID,Mosley Jonathan D.34ORCID

Affiliation:

1. Vanderbilt Translational and Clinical Cardiovascular Research Center, Division of Cardiovascular Medicine, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN (V.A., A.M., M.B., D.K.G., J.F.F., Q.S.W.).

2. Department of Veterans Affairs, Nashville, TN (V.A.).

3. Division of Clinical Pharmacology, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN (N.S.V., J.D.M.).

4. Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, TN (M.S., J.D.M.).

5. Department of Cardiovascular Medicine, Mayo Clinic College of Medicine, Rochester, MN (I.J.K.).

6. Department of Preventive Medicine (Y.L.), Feinberg School of Medicine, Northwestern University, Chicago, IL.

7. Center for Genetic Medicine (E.M.M., M.J.P.), Feinberg School of Medicine, Northwestern University, Chicago, IL.

8. Department of Pharmacology (M.J.P.), Feinberg School of Medicine, Northwestern University, Chicago, IL.

Abstract

BACKGROUND: Greater left atrial size is associated with a higher incidence of cardiovascular disease and mortality, but the full spectrum of diagnoses associated with left atrial enlargement in sex-stratified clinical populations is not well known. Our study sought to identify genetic risk mechanisms affecting left atrial diameter (LAD) in a clinical cohort. METHODS: Using Vanderbilt deidentified electronic health record, we studied 6163 females and 5993 males of European ancestry who had at least 1 LAD measure and available genotyping. A sex-stratified polygenic score was constructed for LAD variation and tested for association against 1680 International Classification of Diseases code–based phenotypes. Two-sample univariable and multivariable Mendelian randomization approaches were used to assess etiologic relationships between candidate associations and LAD. RESULTS: A phenome-wide association study identified 25 International Classification of Diseases code–based diagnoses in females and 11 in males associated with a polygenic score of LAD (false discovery rate q<0.01), 5 of which were further evaluated by Mendelian randomization (waist circumference [WC], atrial fibrillation, heart failure, systolic blood pressure, and coronary artery disease). Sex-stratified differences in the genetic associations between risk factors and a polygenic score for LAD were observed (WC for females; heart failure, systolic blood pressure, atrial fibrillation, and WC for males). By multivariable Mendelian randomization, higher WC remained significantly associated with larger LAD in females, whereas coronary artery disease, WC, and atrial fibrillation remained significantly associated with larger LAD in males. CONCLUSIONS: In a clinical population, we identified, by genomic approaches, potential etiologic risk factors for larger LAD. Further studies are needed to confirm the extent to which these risk factors may be modified to prevent or reverse adverse left atrial remodeling and the extent to which sex modifies these risk factors.

Publisher

Ovid Technologies (Wolters Kluwer Health)

Subject

Cardiology and Cardiovascular Medicine

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