Modeling of multivariate longitudinal phenotypes in family genetic studies with Bayesian multiplicity adjustment-Reference-Cited by-同舟云学术

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Modeling of multivariate longitudinal phenotypes in family genetic studies with Bayesian multiplicity adjustment

Published:2014-06 Issue:S1 Volume:8 Page:
ISSN:1753-6561
Container-title:BMC Proceedings
language:en
Short-container-title:BMC Proc

Author:

Ding Lili,Kurowski Brad G,He Hua,Alexander Eileen S,Mersha Tesfaye B,Fardo David W,Zhang Xue,Pilipenko Valentina V,Kottyan Leah,Martin Lisa J

Publisher

Springer Science and Business Media LLC

Subject

General Biochemistry, Genetics and Molecular Biology,General Medicine

Link

http://link.springer.com/content/pdf/10.1186/1753-6561-8-S1-S69.pdf

Reference13 articles.

1. Shriner D: Moving toward system genetics through multiple trait analysis in genome-wide association studies. Front Genet. 2012, 3: 1-

2. Zhu WS, Zhang HP: Why do we test multiple traits in genetic association studies?. J Korean Stat Soc. 2009, 38: 1-10. 10.1016/j.jkss.2008.10.006.

3. Almasy L, Dyer TD, Blangero J: Bivariate quantitative trait linkage analysis: pleiotropy versus co-incident linkages. Genet Epidemiol. 1997, 14: 953-958. 10.1002/(SICI)1098-2272(1997)14:6<953::AID-GEPI65>3.0.CO;2-K.

4. Reinsel G: Multivariate repeated-measurement or growth curve models with multivariate random-effects covariance structure. J Am Stat Assoc. 1982, 77: 190-195. 10.1080/01621459.1982.10477785.

5. Zellner A: An efficient method of estimating seemingly unrelated regressions and tests for aggregation bias. J Am Stat Assoc. 1962, 57: 348-368. 10.1080/01621459.1962.10480664.

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