Back to Authors

Wilson, James G.

https://orcid.org/0000-0002-2676-8793

Mayo Clinic

Beth Israel Deaconess Medical Center

Citations 2

Association Between Whole Blood–Derived Mitochondrial DNA Copy Number, Low‐Density Lipoprotein Cholesterol, and Cardiovascular Disease Risk
Liu, Xue , Sun, Xianbang, Jiang, Wenqing , Lai, M M , Wiggins, Kerri L. , Raffield, Laura M. , Bielak, Lawrence F. , Zhao, Wei , Pitsillides, Achilleas , Haessler, Jeffrey, Blackwell, Thomas W. , Yao, Jie , Qian, Yong , Thyagarajan, Bharat , Peyser, Patricia A. , Heckbert, Susan R. , Seshadri, Sudha , Boerwinkle, Eric , Grove, Megan L. , Larson, Nicholas B. , Smith, Jennifer A. , Fitzpatrick, Annette L., Fornage, Myriam , Ding, Jun , Carson, April P. , Reiner, Alex P. , Hou, Lifang , Wilson, James G. , Rotter, Jerome I. , Bis, Joshua C. , Arking, Dan E. , Zhao, Wei , Wiggins, Kerri L , Raffield, Laura M , Bielak, Lawrence F , Zhao, Wei , Pitsillides, Achilleas , Zheng, Yinan , Yao, Jie , Guo, Xiuqing , Thyagarajan, Bharat , Pankratz, Nathan , Rich, Stephen S , Taylor, Kent D , Peyser, Patricia A , Heckbert, Susan R , Boerwinkle, Eric , Larson, Nicholas B , Smith, Jennifer A , Vasan, Ramachandran S , Fornage, Myriam , Carson, April P , Dupuis, Josée , Reiner, Alexander P , Hou, Lifang , Psaty, Bruce M , Levy, Daniel , Rotter, Jerome I , Bis, Joshua C , Satizabal, Claudia L , Arking, Dan E , Liu, Chunyu , Seshadri, Sudha , Zhang, Yuankai , Zheng, Yinan , Guo, Xiuqing , Pankratz, Nathan , Rich, Stephen S. , Taylor, Kent D. , Vasan, Ramachandran S. , Abecasis, Gonçalo R. , Kooperberg, Charles , Psaty, Bruce M. , Levy, Daniel , Satizábal, Claudia L.

Journal of the American Heart Association | October 7, 2023 | Volume: 12 | Issue: 20 | Pages: No page available

10.1161/jaha.122.029090 Get It

Background The relationship between mitochondrial DNA copy number (mtDNA CN) and cardiovascular disease remains elusive. Methods and Results We performed cross‐sectional and prospective association analyses of blood‐derived mtDNA CN and cardiovascular disease outcomes in 27 316 participants in 8 cohorts of multiple racial and ethnic groups with whole‐genome sequencing. We also performed Mendelian randomization to explore causal relationships of mtDNA CN with coronary heart disease (CHD) and cardiometabolic risk factors (obesity, diabetes, hypertension, and hyperlipidemia). P <0.01 was used for significance. We validated most of the previously reported associations between mtDNA CN and cardiovascular disease outcomes. For example, 1‐SD unit lower level of mtDNA CN was associated with 1.08 (95% CI, 1.04–1.12; P <0.001) times the hazard for developing incident CHD, adjusting for covariates. Mendelian randomization analyses showed no causal effect from a lower level of mtDNA CN to a higher CHD risk (β=0.091; P =0.11) or in the reverse direction (β=−0.012; P =0.076). Additional bidirectional Mendelian randomization analyses revealed that low‐density lipoprotein cholesterol had a causal effect on mtDNA CN (β=−0.084; P <0.001), but the reverse direction was not significant ( P =0.059). No causal associations were observed between mtDNA CN and obesity, diabetes, and hypertension, in either direction. Multivariable Mendelian randomization analyses showed no causal effect of CHD on mtDNA CN, controlling for low‐density lipoprotein cholesterol level ( P =0.52), whereas there was a strong direct causal effect of higher low‐density lipoprotein cholesterol on lower mtDNA CN, adjusting for CHD status (β=−0.092; P <0.001). Conclusions Our findings indicate that high low‐density lipoprotein cholesterol may underlie the complex relationships between mtDNA CN and vascular atherosclerosis.
Genome-Wide Association Study Meta-Analysis of Stroke in 22 000 Individuals of African Descent Identifies Novel Associations With Stroke
Keene, Keith L. , Hyacinth, Hyacinth I. , Bis, Joshua C. , Kittner, Steven J. , Cheng, Yu-Ching , O’Donnell, Martin , Chen, Wei‐Min , Sale, Michèle M. , Rich, Stephen S. , Nalls, Mike A., Wilson, James G. , Markus, Hugh S. , Lewis, Cathryn M. , Carty, Cara L. , Reiner, Alex P. , Haessler, Jeff, Langefeld, Carl D. , Gottesman, Rebecca F., Woo, Daniel , Yaffe, Kristine , Liu, YongMei, Longstreth, W.T. , Kooperberg, Charles, Lange, Leslie A., Sacco, Ralph L., Cruchaga, Carlos , Furie, Karen L., Arnett, Donna K. , Benavente, Oscar, Grewal, Raji P., Peddareddygari, Leema Reddy , Dichgans, Martin , Worrall, Bradford B. , Fornage, Myriam , Consortia, on behalf of the COMPASS, SiGN, and METASTROKE, Dichgans, Martin , Cruchaga, Carlos , Rich, Stephen S , Arnett, Donna K , Lewis, Cathryn M , Mitchell, Braxton D. , Paré, Guillaume , Chong, Michael , Meschia, James F. , Zonderman, Alan B. , Evans, Michele K. , Correa, Adolfo , Traylor, Matthew , Mosley, Thomas H. , Psaty, Bruce M. , Rundek, Tatjana , Lee, Jin‐Moo , Malik, Rainer , Consortia, on behalf of the COMPASS, SiGN, and METASTROKE

Stroke | July 22, 2020 | Volume: 51 | Issue: 8 | Pages: 2454-2463

10.1161/strokeaha.120.029123 Get It

Background and Purpose: Stroke is a complex disease with multiple genetic and environmental risk factors. Blacks endure a nearly 2-fold greater risk of stroke and are 2× to 3× more likely to die from stroke than European Americans. Methods: The COMPASS (Consortium of Minority Population Genome-Wide Association Studies of Stroke) has conducted a genome-wide association meta-analysis of stroke in >22 000 individuals of African ancestry (3734 cases, 18 317 controls) from 13 cohorts. Results: In meta-analyses, we identified one single nucleotide polymorphism (rs55931441) near the HNF1A gene that reached genome-wide significance ( P =4.62×10 −8 ) and an additional 29 variants with suggestive evidence of association ( P <1×10 −6 ), representing 24 unique loci. For validation, a look-up analysis for a 100 kb region flanking the COMPASS single nucleotide polymorphism was performed in SiGN (Stroke Genetics Network) Europeans, SiGN Hispanics, and METASTROKE (Europeans). Using a stringent Bonferroni correction P value of 2.08×10 −3 (0.05/24 unique loci), we were able to validate associations at the HNF1A locus in both SiGN ( P =8.18×10 −4 ) and METASTROKE ( P =1.72×10 −3 ) European populations. Overall, 16 of 24 loci showed evidence for validation across multiple populations. Previous studies have reported associations between variants in the HNF1A gene and lipids, C-reactive protein, and risk of coronary artery disease and stroke. Suggestive associations with variants in the SFXN4 and TMEM108 genes represent potential novel ischemic stroke loci. Conclusions: These findings represent the most thorough investigation of genetic determinants of stroke in individuals of African descent, to date.