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
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.
SOS2 and ACP1 Loci Identified through Large-Scale Exome Chip Analysis Regulate Kidney Development and Function
Li, Man , Weeks, Olivia , Mijatovic, Vladan, Teumer, Alexander , Tromp, Gerard , Fuchsberger, Christian , Gorski, Mathias , Nutile, Teresa , Sedaghat, Sanaz , Sorice, Rossella , Arking, Dan E. , Bihlmeyer, Nathan A. , Böger, Carsten A., Carroll, Robert J. , Cornelis, Marilyn C., Faul, Jessica D. , Feitosa, Mary F. , Gambaro, Giovanni , Gasparini, Paolo , Giulianini, Franco, Heid, Iris M. , Huang, Jinyan , Imboden, Medea , Jeff, Janina M., Jhun, Min A., Katz, Ronit , Kifley, Annette , Kilpeläinen, Tuomas O. , Laakso, Markku , Li‐Gao, Ruifang , Lohman, Kurt, Lu, Yingchang , Mägi, Reedik , Mihailov, Evelin, Mohlke, Karen L. , Mook‐Kanamori, Dennis O. , Robino, Antonietta , Salvi, Erika , Schick, Ursula M., Schulz, Christina‐Alexandra , Smith, Albert V. , Traglia, Michela , Yerges-Armstrong, Laura M. , Goodarzi, Mark O. , Kraja, Aldi T., Wessel, Jennifer , Group,, CHARGE Glycemic-T2D Working, Group,, CHARGE Blood Pressure Working, Boerwinkle, Eric , Borecki, Ingrid B. , Bork‐Jensen, Jette , Böttinger, Erwin P. , Braga, Daniele , Brandslund, Ivan , Brody, Jennifer A. , Carey, David J. , Christensen, Cramer, Crook, Errol D., Boer, Ian H. de , Vries, Aiko P. J. de , Devuyst, Olivier , Dreisbach, Albert W. , Endlich, Karlhans , Franco, Oscar H. , Glümer, Charlotte , Gottesman, Omri, Grarup, Niels , Guðnason, Vilmundur , Harris, Tamara B., Hofman, Albert , Husemoen, Lise Lotte N. , Jackson, Rebecca D. , Jørgensen, Marit E. , Kähönen, Mika , Kardia, Sharon L. R., König, Wolfgang , Kriebel, Jennifer , Lauritzen, Torsten , Lehtimäki, Terho , Levy, Daniel , Linksted, Pamela , Loos, Ruth J. F. , Lupo, Antonio , Meisinger, Christine, Melander, Olle , Mitchell, Paul, Nauck, Matthias, Orho‐Melander, Marju , Parsa, Afshin, Pedersen, Oluf , Peters, Annette , Peters, Ulrike , Polašek, Ozren , Qi, Lu , Reiner, Alex P. , Rettig, Rainer, Ridker, Paul M., Rivadeneira, Fernando , Rossouw, Jacques E. , Schmidt, Frank , Soranzo, Nicole , Strauch, Konstantin , Toniolo, Daniela , Uitterlinden, André G. , Ulivi, Sheila , Velayutham, Dinesh , Völker, Uwe , Völzke, Henry , Waldenberger, Mélanie , Wang, Jie Jin , Weir, David R. , Witte, Daniel R. , Kuivaniemi, Helena , Fox, Caroline S., Franceschini, Nora , Goessling, Wolfram , Köttgen, Anna , Chu, Audrey Y., Rudan, Igor , Vasan, Ramachandran S. , Duijn, Cornelia M. van , Zhao, Wei , Padmanabhan, Sandosh , Lindgren, Cecilia M. , Franks, Paul W. , Weiß, Stefan , Langenberg, Claudia , Hattersley, Andrew T. , Turner, Stephen T. , Li, Yong , Huffman, Jennifer E. , Lyytikäinen, Leo‐Pekka , Tin, Adrienne , Yang, Qiong , Ahluwalia, Tarunveer S. , Chasman, Daniel I. , Dehghan, Abbas , Jackson, Anne , Kumar, Ashish , Malerba, Giovanni , Ruderfer, Douglas , Smith, Jennifer A. , Zhao, Wei , Liu, Chunyu , Group,, CHARGE Glycemic-T2D Working, Group,, CHARGE Blood Pressure Working, Campbell, Archie I , Coresh, Josef , Curhan, Gary C. , Cusi, Daniele , Denny, Joshua C. , Esko, Tõnu , Fülöp, Tibor , Gerhard, Glenn S. , Hansen, Torben , Hayward, Caroline , Hocking, Lynne J. , Hu, Frank B. , Jørgensen, Torben , Kooperberg, Charles , Launer, Lenore J. , Linneberg, Allan , Liu, Ching‐Ti , Meisinger, Christine, Metspalu, Andres , Nürnberg, Peter , Porteous, David John , Probst-Hensch, Nicole M , Psaty, Bruce M. , Raitakari, Olli Tuomas , Siscovick, David S. , Weiss, Stefan , Völker, Uwe , Teumer, Alexander , van Duijn, Cornelia M , Vasan, Ramachandran S , Smith, Albert V , Loos, Ruth J F , Li-Gao, Ruifang , Brody, Jennifer A , Padmanabhan, Sandosh , Levy, Daniel , de Vries, Aiko P J , Devuyst, Olivier; https://orcid.org/0000-0003-3744-4767
Journal of the American Society of Nephrology | December 5, 2016 | Volume: 28 | Issue: 3 | Pages: 981-994
Genome-wide association studies have identified >50 common variants associated with kidney function, but these variants do not fully explain the variation in eGFR. We performed a two-stage meta-analysis of associations between genotypes from the Illumina exome array and eGFR on the basis of serum creatinine (eGFRcrea) among participants of European ancestry from the CKDGen Consortium ( n Stage1 : 111,666; n Stage2 : 48,343). In single-variant analyses, we identified single nucleotide polymorphisms at seven new loci associated with eGFRcrea ( PPM1J , EDEM3, ACP1, SPEG, EYA4, CYP1A1 , and ATXN2L ; P Stage1 <3.7×10 −7 ), of which most were common and annotated as nonsynonymous variants. Gene-based analysis identified associations of functional rare variants in three genes with eGFRcrea, including a novel association with the SOS Ras/Rho guanine nucleotide exchange factor 2 gene, SOS2 ( P =5.4×10 −8 by sequence kernel association test). Experimental follow-up in zebrafish embryos revealed changes in glomerular gene expression and renal tubule morphology in the embryonic kidney of acp1- and sos2 -knockdowns. These developmental abnormalities associated with altered blood clearance rate and heightened prevalence of edema. This study expands the number of loci associated with kidney function and identifies novel genes with potential roles in kidney formation.