Model-Free Linkage Analysis of a Binary Trait

作者: Wei Xu , Shelley B. Bull , Lucia Mirea , Celia M. T. Greenwood

DOI: 10.1007/978-1-61779-555-8_17

关键词:

摘要: Genetic linkage analysis aims to detect chromosomal regions containing genetic variants that influence risk of specific inherited diseases. The presence is indicated when a disease or trait cosegregates through the families with markers at particular region genome. Two main types are in common use, namely model-based and model-free analysis. In this chapter, we focus solely on latter type specifically binary traits phenotypes, such as absence disease. Model-free based allele-sharing, where patterns similarity among affected relatives compared chance expectations. Because methods do not require specification inheritance parameters model, they preferred by many researchers early stages study complex We introduce history Subheading 1. Table 1 describes standard workflow. describe three popular methods, nonparametric (NPL) statistic, sib-pair (ASP) likelihood ratio test, approach for pedigrees. theory behind each test described section together simple example relevant calculations. 4 provides summary software packages implement models. 2, work rich providing sample code output. 3 contains notes additional details various topics may need further consideration during

参考文章(67)
A. S. Krolewski, J. J. Rogus, Using discordant sib pairs to map loci for qualitative traits with high sibling recurrence risk. American Journal of Human Genetics. ,vol. 59, pp. 1376- 1381 ,(1996)
N Risch, Linkage strategies for genetically complex traits. I. Multilocus models. American Journal of Human Genetics. ,vol. 46, pp. 222- 228 ,(1990)
L Kruglyak, E S Lander, High-resolution genetic mapping of complex traits. American Journal of Human Genetics. ,vol. 56, pp. 1212- 1223 ,(1995)
Robert C Elston, Introduction and overview. Statistical methods in genetic epidemiology. Statistical Methods in Medical Research. ,vol. 9, pp. 527- ,(2000) , 10.1177/096228020000900602
Peter Alan Holmans, Asymptotic properties of affected-sib-pair linkage analysis. American Journal of Human Genetics. ,vol. 52, pp. 362- 374 ,(1993)
Thomas D Walters, Mark S Silverberg, Genetics of inflammatory bowel disease: current status and future directions. Canadian Journal of Gastroenterology & Hepatology. ,vol. 20, pp. 633- 639 ,(2006) , 10.1155/2006/326025
John A. Williamson, Christopher I. Amos, Guess LOD approach: sufficient conditions for robustness Genetic Epidemiology. ,vol. 12, pp. 163- 176 ,(1995) , 10.1002/GEPI.1370120205
John D. Rioux, Mark J. Daly, Mark S. Silverberg, Kerstin Lindblad, Hillary Steinhart, Zane Cohen, Terrye Delmonte, Kerry Kocher, Katie Miller, Sheila Guschwan, Edward J. Kulbokas, Sinead O'Leary, Ellen Winchester, Ken Dewar, Todd Green, Valerie Stone, Christine Chow, Albert Cohen, Diane Langelier, Gilles Lapointe, Daniel Gaudet, Janet Faith, Nancy Branco, Shelley B. Bull, Robin S. McLeod, Anne M. Griffiths, Alain Bitton, Gordon R. Greenberg, Eric S. Lander, Katherine A. Siminovitch, Thomas J. Hudson, Genetic variation in the 5q31 cytokine gene cluster confers susceptibility to Crohn disease. Nature Genetics. ,vol. 29, pp. 223- 228 ,(2001) , 10.1038/NG1001-223
N Risch, Linkage strategies for genetically complex traits. II. The power of affected relative pairs. American Journal of Human Genetics. ,vol. 46, pp. 229- 241 ,(1990)
Patricia Margaritte-Jeannin, Marie-Claude Babron, Emmanuelle Génin, Sophie Eichenbaum-Voline, F. Clerget-Darpoux, Heterogeneity of marker allele frequencies hinders interpretation of linkage analysis: Illustration on chromosome 18 markers Genetic Epidemiology. ,vol. 14, pp. 669- 674 ,(1997) , 10.1002/(SICI)1098-2272(1997)14:6<669::AID-GEPI20>3.0.CO;2-N