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Anderson, Christopher D.

https://orcid.org/0000-0002-0053-2002

Mayo Clinic

University of Mississippi Medical Center

Citations 22

Stroke Genetics Network (SiGN) Study
Arnett, Donna K. , Ay, Hakan , Brown, Robert D. , Benavente, Oscar, Bakker, Paul I. W. de , Dichgans, Martin , Doheny, Kimberly F. , Fornage, Myriam , Grewal, Raji P., Gwinn, Katrina , Conde, Jordi Jiménez, Johnson, Julie A. , Laurie, Cathy C. , Lee, Jin‐Moo , Lindgren, Arne, Markus, Hugh S. , McArdle, Patrick F. , McClure, Leslie A. , Mitchell, Braxton D. , Schmidt, Reinhold , Rexrode, Kathryn M. , Rich, Stephen S. , Rothwell, Peter M. , Sacco, Ralph L., Shuldiner, Alan R. , Słowik, Agnieszka , Sudlow, Cathie , Thijs, Vincent , Woo, Daniel , Worrall, Bradford B. , Wu, Ona , Kittner, Steven J. , collaborators, The SiGN study also includes the following, Anderson, Christopher D. , Andrén, Kerstin , Barrett, Kevin M. , Benner, Thomas, Bentley, Paul , Bevan, Steven, Biffi, Alessandro , Chapman, Sherita , Cheng, Yu‐Ching, Delavaran, Hossein , Gamble, Dale M., Giralt, Eva, Grazer, Anja, Gschwendtner, Andreas, Hegge, Caityln, Heitsch, Laura , Helenius, Johanna, Huq, Mohammed Saiful, Irie, Robert E., Jackson, Rebecca D. , Katschnig, Petra , Katsnelson, Michael , Khoury, Naïm , Kilinc, Selma, Kumar, Gyanendra, Langefeld, Carl D. , Lemmens, Robin , Malik, Shaneela , Melander, Olle , Nordström, Sara , Ois, Ángel , Ossi, Raid G., Peddareddygari, Leema Reddy , Pedersén, Annie , Pucek, Mateusz, Redfors, Petra , Rhodes, J. , Saraf, Neha, Schuerks, Markus, Seiler, Stephan , Sheikh, Huma U., Sparks, Mary J., Stoegerer, Eva, Temple, Ella, Valenti, Raffaella , Weir, David R. , Weissman, Darren, Woodfield, Rebecca, Yiin, Gabriel , Soliman, Elsayed Z. , Cushman, Mary , Kumar, Gyanendra , Bevan, Steve , Meschia, James F. , Cole, John W. , Jern, Christina , Jood, Katarina , Lindgren, Arne, Rosand, Jonathan M. , Rundek, Tatjana , Sharma, Pankaj Kumar , Wassertheil-Smoller, Sylvia W , collaborators, The SiGN study also includes the following, Andsberg, Gunnar , Arsava, Ethem Murat , Bevan, Steven, Brenner, David A. , Deline, Chris A. , Dziedzic, Tomasz , Holmegaard, Lukas , Kilinc, Selma, Kumar, Gyanendra, Labovitz, Daniel , Lanfranconi, Silvia , Li, Linxin , Norrving, Bo , Pera, Joanna , Rannikmäe, Kristiina , Ribasés, Marta , Southerland, Andrew M. , Sunyer, Jordi , Dichgans, Martin , Rich, Stephen S , Lemmens, Robin , Mitchell, Braxton D , Shuldiner, Alan R , Arnett, Donna K , Wu, Ona , Lee, Jin-Moo

Stroke | September 11, 2013 | Volume: 44 | Issue: 10 | Pages: 2694-2702

10.1161/strokeaha.113.001857 Get It

Background and Purpose— Meta-analyses of extant genome-wide data illustrate the need to focus on subtypes of ischemic stroke for gene discovery. The National Institute of Neurological Disorders and Stroke SiGN (Stroke Genetics Network) contributes substantially to meta-analyses that focus on specific subtypes of stroke. Methods— The National Institute of Neurological Disorders and Stroke SiGN includes ischemic stroke cases from 24 genetic research centers: 13 from the United States and 11 from Europe. Investigators harmonize ischemic stroke phenotyping using the Web-based causative classification of stroke system, with data entered by trained and certified adjudicators at participating genetic research centers. Through the Center for Inherited Diseases Research, the Network plans to genotype 10 296 carefully phenotyped stroke cases using genome-wide single nucleotide polymorphism arrays and adds to these another 4253 previously genotyped cases, for a total of 14 549 cases. To maximize power for subtype analyses, the study allocates genotyping resources almost exclusively to cases. Publicly available studies provide most of the control genotypes. Center for Inherited Diseases Research–generated genotypes and corresponding phenotypes will be shared with the scientific community through the US National Center for Biotechnology Information database of Genotypes and Phenotypes, and brain MRI studies will be centrally archived. Conclusions— The Stroke Genetics Network, with its emphasis on careful and standardized phenotyping of ischemic stroke and stroke subtypes, provides an unprecedented opportunity to uncover genetic determinants of ischemic stroke.
Genome-Wide Association Analysis of Ischemic Stroke in Young Adults
Cheng, Yu-Ching , O’Connell, Jeffrey R. , Dueker, Nicole , McArdle, Patrick F. , Sparks, Mary J., Shen, Jess, Laurie, Cathy C. , Doheny, Kimberly F. , Pugh, Elizabeth, Brott, Thomas G. , Brown, Robert D., Nalls, Michael A., Rich, Stephen S. , Worrall, Bradford B. , Anderson, Christopher D. , Biffi, Alessandro , Cortellini, Lynelle, Furie, Karen L., Rost, Natalia S. , Manolio, Teri A. , Kittner, Steven J. , Mitchell, Braxton D. , Cole, John W. , Stine, Oscar Colin , Nelson, Sarah C. , Ling, Hua , Meschia, James F. , Rosand, Jonathan M. , Rich, Stephen S , Mitchell, Braxton D

G3 Genes|Genomes|Genetics | December 14, 2011 | Volume: 1 | Issue: 6 | Pages: 505-514

10.1534/g3.111.001164 Get It

Abstract Ischemic stroke (IS) is among the leading causes of death in Western countries. There is a significant genetic component to IS susceptibility, especially among young adults. To date, research to identify genetic loci predisposing to stroke has met only with limited success. We performed a genome-wide association (GWA) analysis of early-onset IS to identify potential stroke susceptibility loci. The GWA analysis was conducted by genotyping 1 million SNPs in a biracial population of 889 IS cases and 927 controls, ages 15–49 years. Genotypes were imputed using the HapMap3 reference panel to provide 1.4 million SNPs for analysis. Logistic regression models adjusting for age, recruitment stages, and population structure were used to determine the association of IS with individual SNPs. Although no single SNP reached genome-wide significance (P < 5 × 10−8), we identified two SNPs in chromosome 2q23.3, rs2304556 (in FMNL2; P = 1.2 × 10−7) and rs1986743 (in ARL6IP6; P = 2.7 × 10−7), strongly associated with early-onset stroke. These data suggest that a novel locus on human chromosome 2q23.3 may be associated with IS susceptibility among young adults.