Evaluating the performance of gene-based tests of genetic association when testing for association between methylation and change in triglyceride levels at GAW20-Reference-Cited by-同舟云学术

Evaluating the performance of gene-based tests of genetic association when testing for association between methylation and change in triglyceride levels at GAW20

Published:2018-09 Issue:S9 Volume:12 Page:
ISSN:1753-6561
Container-title:BMC Proceedings
language:en
Short-container-title:BMC Proc

Author:

Vander Woude Jason,Huisman Jordan,Vander Berg Lucas,Veenstra Jenna,Bos Abbey,Kalsbeek Anya,Koster Karissa,Ryder Nathan,Tintle Nathan L.

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/s12919-018-0124-y.pdf

Reference5 articles.

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2. Liu K, Fast S, Zawistowski M, Tintle NL. A geometric framework for evaluating rare variant tests of association. Genet Epidemiol. 2013;37(4):345–57.

3. Lee S, Emond MJ, Bamshad MJ, Barnes KC, Rieder MJ, Nickerson DA, NHLBI GO ESP—ESPLPT, Christiani DC, Wurfel MM, Lin X. Optimal unified approach for rare-variant association testing with application to small-sample case-control whole-exome sequencing studies. Am J Hum Genet. 2012;91(2):224–37.

4. Wu MC, Lee S, Cai T, Li Y, Boehnke M, Lin X. Rare-variant association testing for sequencing data with the sequence kernel association test. Am J Hum Genet. 2011;89(1):82–93.

5. R-Project. R. 2016. http://www.r-project.org

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