A method to detect single-nucleotide polymorphisms accounting for a linkage signal using covariate-based affected relative pair linkage analysis-Reference-Cited by-同舟云学术

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A method to detect single-nucleotide polymorphisms accounting for a linkage signal using covariate-based affected relative pair linkage analysis

Published:2011-11-29 Issue:S9 Volume:5 Page:
ISSN:1753-6561
Container-title:BMC Proceedings
language:en
Short-container-title:BMC Proc

Author:

Song Yeunjoo E,Namkung Junghyun,Shields Robert W,Baechle Daniel J,Song Sunah,Elston Robert C

Publisher

Springer Science and Business Media LLC

Subject

General Biochemistry, Genetics and Molecular Biology,General Medicine

Link

http://link.springer.com/content/pdf/10.1186/1753-6561-5-S9-S84.pdf

Reference14 articles.

1. Greenwood CMT, Bull SB: Analysis of affected sib pairs, with covariates— with and without constraints. Am J Hum Genet. 1999, 64: 871-885. 10.1086/302288.

2. Olson JM: A general conditional-logistic model for affected-relative-pair linkage studies. Am J Hum Genet. 1999, 65: 1760-1769. 10.1086/302662.

3. SAGE Project: SAGE: Statistical Analysis for Genetic Epidemiology. [ http://darwin.cwru.edu/sage ]

4. Goddard KAB, Witte JS, Suarez BK, Catalona WJ, Olson JM: Model-free linkage analysis with covariates confirms linkage of prostate cancer to chromosomes 1 and 4. Am J Hum Genet. 2001, 68: 1197-1206. 10.1086/320103.

5. Horikawa Y, Oda N, Cox NJ, Li X, Orho-Melander M, Hara M, Hinokio Y, Lindner TH, Mashima H, Schwarz PE, et al: Genetic variation in the gene encoding calpain-10 is associated with type 2 diabetes mellitus. Nat Genet. 2000, 26: 163-175. 10.1038/79876.

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1. Incorporating linkage information into a common disease/rare variant framework;Genetic Epidemiology;2011

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