Evaluating cost efficiency of SNP chips in genome-wide association studies.
Evaluating cost efficiency of SNP chips in genome-wide association studies.
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DOI：
10.1002/gepi.20312
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发表时间：
2008-07
影响因子：
2.1
通讯作者：
Zheng, Wei
中科院分区：
文献类型：
--
作者：
Li, Chun;Li, Mingyao;Long, Ji-Rong;Cai, Qiuyin;Zheng, Wei
全基因组关联（GWA）研究最近已成为许多复杂疾病基因发现的主要方法。由于 GWA 扫描价格昂贵，因此成本效率是研究设计中需要考虑的重要因素。然而，通常需要大量且耗时的计算机模拟来比较不同 SNP 芯片的成本效率。在这里，我们提出了两种无需模拟的方法来比较 SNP 芯片的成本效率。在第一种方法中，针对每个 SNP 芯片和各种样本量计算给定疾病模型下的总体功效。然后可以将 SNP 芯片与达到相同功效水平所需的样本大小进行比较。在第二种方法中，为了获得所需的基因组覆盖水平，计算每个 SNP 芯片的有效 r2 阈值。由于 r2 与达到相同功效的样本量成反比，因此可以在 SNP 芯片之间比较所需的样本量。这两种方法是相辅相成的。第一种方法提供直接功效比较，但它需要有关疾病模型的信息，并且对于包含许多非 HapMap SNP 的 SNP 芯片可能不可靠。第二种方法允许基于 SNP 芯片的覆盖范围进行样本大小比较，并且可以针对包含非 HapMap SNP 的 SNP 芯片进行修改。这些方法与大型流行病学研究特别相关，其中有足够的受试者可用于 GWA 筛查和随访阶段。我们使用五种当前可用的全基因组 SNP 芯片来说明这些方法。
Genome-wide association (GWA) studies have recently emerged as a major approach to gene discovery for many complex diseases. Since GWA scans are expensive, cost efficiency is an important factor to consider in study design. However, it often requires extensive and time consuming computer simulations to compare cost efficiency across different SNP chips. Here we propose two simulation-free approaches to cost efficiency comparisons across SNP chips. In the first method, the overall power under a given disease model is calculated for each SNP chip and various sample sizes. Then SNP chips can be compared with respect to the sample sizes required to achieve the same level of power. In the second method, for a desired level of genomic coverage, the effective r2 threshold values are calculated for each SNP chip. Since r2 is inversely proportional to the sample size to achieve the same power, the required sample sizes can then be compared among SNP chips. These two methods are complementary to each other. The first approach provides direct power comparisons, but it requires information on disease model and may not be reliable for SNP chips that contain many non-HapMap SNPs. The second approach allows sample size comparisons based on the coverage of SNP chips, and it can be modified for SNP chips that contain non-HapMap SNPs. These methods are particularly relevant for large epidemiological studies in which enough subjects are available for GWA screening and follow-up stages. We illustrate these approaches using five currently available whole genome SNP chips.
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影响因子：
30.8
作者：
Marchini, Jonathan;Howie, Bryan;Donnelly, Peter
通讯作者：
Donnelly, Peter
DOI：
10.1056/nejmoa072366
发表时间：
2007-08-02
期刊：
The New England journal of medicine
影响因子：
--
作者：
Samani NJ;Erdmann J;Hall AS;Hengstenberg C;Mangino M;Mayer B;Dixon RJ;Meitinger T;Braund P;Wichmann HE;Barrett JH;König IR;Stevens SE;Szymczak S;Tregouet DA;Iles MM;Pahlke F;Pollard H;Lieb W;Cambien F;Fischer M;Ouwehand W;Blankenberg S;Balmforth AJ;Baessler A;Ball SG;Strom TM;Braenne I;Gieger C;Deloukas P;Tobin MD;Ziegler A;Thompson JR;Schunkert H;WTCCC and the Cardiogenics Consortium
通讯作者：
WTCCC and the Cardiogenics Consortium
影响因子：
64.8
作者：
Frazer, Kelly A.;Ballinger, Dennis G.;Cox, David R.;Hinds, David A.;Stuve, Laura L.;Gibbs, Richard A.;Belmont, John W.;Boudreau, Andrew;Hardenbol, Paul;Leal, Suzanne M.;Pasternak, Shiran;Wheeler, David A.;Willis, Thomas D.;Yu, Fuli;Yang, Huanming;Zeng, Changqing;Gao, Yang;Hu, Haoran;Hu, Weitao;Li, Chaohua;Lin, Wei;Liu, Siqi;Pan, Hao;Tang, Xiaoli;Wang, Jian;Wang, Wei;Yu, Jun;Zhang, Bo;Zhang, Qingrun;Zhao, Hongbin;Zhao, Hui;Zhou, Jun;Gabriel, Stacey B.;Barry, Rachel;Blumenstiel, Brendan;Camargo, Amy;Defelice, Matthew;Faggart, Maura;Goyette, Mary;Gupta, Supriya;Moore, Jamie;Nguyen, Huy;Onofrio, Robert C.;Parkin, Melissa;Roy, Jessica;Stahl, Erich;Winchester, Ellen;Ziaugra, Liuda;Altshuler, David;Shen, Yan;Yao, Zhijian;Huang, Wei;Chu, Xun;He, Yungang;Jin, Li;Liu, Yangfan;Shen, Yayun;Sun, Weiwei;Wang, Haifeng;Wang, Yi;Wang, Ying;Xiong, Xiaoyan;Xu, Liang;Waye, Mary M. Y.;Tsui, Stephen K. W.;Wong, J. Tze-Fei;Galver, Luana M.;Fan, Jian-Bing;Gunderson, Kevin;Murray, Sarah S.;Oliphant, Arnold R.;Chee, Mark S.;Montpetit, Alexandre;Chagnon, Fanny;Ferretti, Vincent;Leboeuf, Martin;Olivier, Jean-Franccois;Phillips, Michael S.;Roumy, Stephanie;Sallee, Clementine;Verner, Andrei;Hudson, Thomas J.;Kwok, Pui-Yan;Cai, Dongmei;Koboldt, Daniel C.;Miller, Raymond D.;Pawlikowska, Ludmila;Taillon-Miller, Patricia;Xiao, Ming;Tsui, Lap-Chee;Mak, William;Song, You Qiang;Tam, Paul K. H.;Nakamura, Yusuke;Kawaguchi, Takahisa;Kitamoto, Takuya;Morizono, Takashi;Nagashima, Atsushi;Ohnishi, Yozo;Sekine, Akihiro;Tanaka, Toshihiro;Tsunoda, Tatsuhiko;Deloukas, Panos;Bird, Christine P.;Delgado, Marcos;Dermitzakis, Emmanouil T.;Gwilliam, Rhian;Hunt, Sarah;Morrison, Jonathan;Powell, Don;Stranger, Barbara E.;Whittaker, Pamela;Bentley, David R.;Daly, Mark J.;de Bakker, Paul I. W.;Barrett, Jeff;Chretien, Yves R.;Maller, Julian;McCarroll, Steve;Patterson, Nick;Pe'er, Itsik;Price, Alkes;Purcell, Shaun;Richter, Daniel J.;Sabeti, Pardis;Saxena, Richa;Schaffner, Stephen F.;Sham, Pak C.;Varilly, Patrick;Altshuler, David;Stein, Lincoln D.;Krishnan, Lalitha;Smith, Albert Vernon;Tello-Ruiz, Marcela K.;Thorisson, Gudmundur A.;Chakravarti, Aravinda;Chen, Peter E.;Cutler, David J.;Kashuk, Carl S.;Lin, Shin;Abecasis, Goncalo R.;Guan, Weihua;Li, Yun;Munro, Heather M.;Qin, Zhaohui Steve;Thomas, Daryl J.;McVean, Gilean;Auton, Adam;Bottolo, Leonardo;Cardin, Niall;Eyheramendy, Susana;Freeman, Colin;Marchini, Jonathan;Myers, Simon;Spencer, Chris;Stephens, Matthew;Donnelly, Peter;Cardon, Lon R.;Clarke, Geraldine;Evans, David M.;Morris, Andrew P.;Weir, Bruce S.;Tsunoda, Tatsuhiko;Johnson, Todd A.;Mullikin, James C.;Sherry, Stephen T.;Feolo, Michael;Skol, Andrew
通讯作者：
Skol, Andrew
影响因子：
56.9
作者：
Hinds, DA;Stuve, LL;Cox, DR
通讯作者：
Cox, DR
影响因子：
2.1
作者：
Nicolae, Dan L.
通讯作者：
Nicolae, Dan L.