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Items: 1 to 20 of 131

1.

Association tests for rare and common variants based on genotypic and phenotypic measures of similarity between individuals.

Thalamuthu A, Zhao J, Keong GT, Kondragunta V, Mukhopadhyay I.

BMC Proc. 2011 Nov 29;5 Suppl 9:S89. doi: 10.1186/1753-6561-5-S9-S89.

2.

Gene-based multiple trait analysis for exome sequencing data.

Zhao J, Thalamuthu A.

BMC Proc. 2011 Nov 29;5 Suppl 9:S75. doi: 10.1186/1753-6561-5-S9-S75.

3.
4.

Utilizing mutual information for detecting rare and common variants associated with a categorical trait.

Sun L, Wang C, Hu YQ.

PeerJ. 2016 Jun 16;4:e2139. doi: 10.7717/peerj.2139. eCollection 2016.

5.

Evaluating the Calibration and Power of Three Gene-Based Association Tests of Rare Variants for the X Chromosome.

Ma C, Boehnke M, Lee S; GoT2D Investigators.

Genet Epidemiol. 2015 Nov;39(7):499-508. doi: 10.1002/gepi.21935. Epub 2015 Oct 10.

6.

Weighted pedigree-based statistics for testing the association of rare variants.

Shugart YY, Zhu Y, Guo W, Xiong M.

BMC Genomics. 2012 Nov 24;13:667. doi: 10.1186/1471-2164-13-667.

7.
8.

Comparison of similarity-based tests and pooling strategies for rare variants.

Zakharov S, Salim A, Thalamuthu A.

BMC Genomics. 2013 Jan 24;14:50. doi: 10.1186/1471-2164-14-50.

9.

Comparison of single-marker and multi-marker tests in rare variant association studies of quantitative traits.

Konigorski S, Yilmaz YE, Pischon T.

PLoS One. 2017 May 31;12(5):e0178504. doi: 10.1371/journal.pone.0178504. eCollection 2017.

10.

A nonparametric method to test for associations between rare variants and multiple traits.

Zhou Y, Cheng Y, Zhu W, Zhou Q.

Genet Res (Camb). 2016;98:e1.

PMID:
27159928
11.

Genome-wide case-control study in GAW17 using coalesced rare variants.

Wang L, Pungpapong V, Lin Y, Zhang M, Zhang D.

BMC Proc. 2011 Nov 29;5 Suppl 9:S110. doi: 10.1186/1753-6561-5-S9-S110.

12.

Identifying rare variants associated with complex traits via sequencing.

Li B, Liu DJ, Leal SM.

Curr Protoc Hum Genet. 2013 Jul;Chapter 1:Unit 1.26. doi: 10.1002/0471142905.hg0126s78. Review.

13.

A novel genome-information content-based statistic for genome-wide association analysis designed for next-generation sequencing data.

Luo L, Zhu Y, Xiong M.

J Comput Biol. 2012 Jun;19(6):731-44. doi: 10.1089/cmb.2012.0035. Epub 2012 May 31.

14.

Improved power by collapsing rare and common variants based on a data-adaptive forward selection strategy.

Dai Y, Guo L, Dong J, Jiang R.

BMC Proc. 2011 Nov 29;5 Suppl 9:S114. doi: 10.1186/1753-6561-5-S9-S114.

15.

Detecting association of rare and common variants by testing an optimally weighted combination of variants.

Sha Q, Wang X, Wang X, Zhang S.

Genet Epidemiol. 2012 Sep;36(6):561-71. doi: 10.1002/gepi.21649. Epub 2012 Jun 19.

PMID:
22714994
16.

Combining effects from rare and common genetic variants in an exome-wide association study of sequence data.

Aschard H, Qiu W, Pasaniuc B, Zaitlen N, Cho MH, Carey V.

BMC Proc. 2011 Nov 29;5 Suppl 9:S44. doi: 10.1186/1753-6561-5-S9-S44.

17.

Comparison of statistical tests for association between rare variants and binary traits.

Bacanu SA, Nelson MR, Whittaker JC.

PLoS One. 2012;7(8):e42530. doi: 10.1371/journal.pone.0042530. Epub 2012 Aug 9.

18.

Powerful Genetic Association Analysis for Common or Rare Variants with High-Dimensional Structured Traits.

Zhan X, Zhao N, Plantinga A, Thornton TA, Conneely KN, Epstein MP, Wu MC.

Genetics. 2017 Aug;206(4):1779-1790. doi: 10.1534/genetics.116.199646. Epub 2017 Jun 22.

PMID:
28642271
19.

Functional analysis of variance for association studies.

Vsevolozhskaya OA, Zaykin DV, Greenwood MC, Wei C, Lu Q.

PLoS One. 2014 Sep 22;9(9):e105074. doi: 10.1371/journal.pone.0105074. eCollection 2014.

20.

Association studies for next-generation sequencing.

Luo L, Boerwinkle E, Xiong M.

Genome Res. 2011 Jul;21(7):1099-108. doi: 10.1101/gr.115998.110. Epub 2011 Apr 26.

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