- Title
- Recommendations from the international stroke genetics consortium, part 1: standardized phenotypic data collection
- Creator
- Majersik, Jennifer J.; Cole, John W.; Thijs, Vincent; Worrall, Bradford B.; Kamal, Ayeesha; Bentley, Paul; Wardlaw, Joanna M.; Ruigrok, Ynte M.; Battey, Thomas W. K.; Schmidt, Reinhold; Montaner, Joan; Giese, Anne-Katrin; Golledge, Jonathan; Maguire, Jane; Rost, Natalia S.; Chan, Yu-Feng Yvonne; Gurol, M. Edip; Lindgren, Arne G.; Woo, Daniel; Fernandez-Cadenas, Israel; Chen, Donna T.
- Relation
- Stroke Vol. 46, Issue 1, p. 279-284
- Publisher Link
- http://dx.doi.org/10.1161/STROKEAHA.114.006839
- Publisher
- Lippincott Williams & Wilkins
- Resource Type
- journal article
- Date
- 2015
- Description
- Risk and clinical outcome of stroke, as for nearly all complex conditions, is polygenic. Discovering influential genetic variants offers the promise of new and personalized treatments that will substantially reduce the devastating effects of stroke on global health. Adequate power to detect multiple genetic risk alleles requires large sample sizes. Although stroke is the second leading cause of death worldwide and a major contributor to adult disability, no individual center can collect sufficient samples on its own. Recognizing this challenge, in 2007, stroke researchers from around the world formed the International Stroke Genetics Consortium (ISGC, http://www.strokegenetics.org). The ISGC mission is to identify genetic factors influencing stroke risk, prognosis, and treatment response by studying patients enrolled at centers around the globe. Although there has been notable early success, much work remains not only to achieve the ultimate goal of personalized medicine in stroke, finding genetic risk alleles, but also, more importantly, to develop comprehensive stroke risk assessments with actionable clinical results. Judging from developments in other complex diseases, such as diabetes mellitus and coronary artery disease, sample sizes of the order of 100 000 to 200 000 will be needed to identify the full range of genetic variation involved in stroke. Achieving such sample sizes requires even larger collaboration.
- Subject
- cooperative behavior; genetics; genetics, population; outcome studies; phenotype risk factors; stroke
- Identifier
- http://hdl.handle.net/1959.13/1334041
- Identifier
- uon:27208
- Identifier
- ISSN:0039-2499
- Language
- eng
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