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Items: 1 to 20 of 78

1.

Localization of association signal from risk and protective variants in sequencing studies.

Brisbin A, Jenkins GD, Ellsworth KA, Wang L, Fridley BL.

Front Genet. 2012 Sep 6;3:173. doi: 10.3389/fgene.2012.00173. eCollection 2012.

2.

A powerful association test of multiple genetic variants using a random-effects model.

Cheng KF, Lee JY, Zheng W, Li C.

Stat Med. 2014 May 20;33(11):1816-27. doi: 10.1002/sim.6068. Epub 2013 Dec 16.

3.

Estimating genome-wide significance for whole-genome sequencing studies.

Xu C, Tachmazidou I, Walter K, Ciampi A, Zeggini E, Greenwood CM; UK10K Consortium..

Genet Epidemiol. 2014 May;38(4):281-90. doi: 10.1002/gepi.21797. Epub 2014 Feb 14.

4.
5.

Testing optimally weighted combination of variants for hypertension.

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

BMC Proc. 2014 Jun 17;8(Suppl 1 Genetic Analysis Workshop 18Vanessa Olmo):S59. doi: 10.1186/1753-6561-8-S1-S59. eCollection 2014.

6.

A rapid method for combined analysis of common and rare variants at the level of a region, gene, or pathway.

Curtis D.

Adv Appl Bioinform Chem. 2012;5:1-9. doi: 10.2147/AABC.S33049. Epub 2012 Jul 24.

7.

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.

8.

Exploring the potential benefits of stratified false discovery rates for region-based testing of association with rare genetic variation.

Xu C, Ciampi A, Greenwood CM; UK10K Consortium..

Front Genet. 2014 Jan 29;5:11. doi: 10.3389/fgene.2014.00011. eCollection 2014. Erratum in: Front Genet. 2014;5:61.

9.
10.

Family-based tests applied to extended pedigrees identify rare variants related to hypertension.

Xu M, Wang HZ, Guo W, Qin H, Shugart YY.

BMC Proc. 2014 Jun 17;8(Suppl 1):S31. doi: 10.1186/1753-6561-8-S1-S31. eCollection 2014.

11.

Reconsidering association testing methods using single-variant test statistics as alternatives to pooling tests for sequence data with rare variants.

Kinnamon DD, Hershberger RE, Martin ER.

PLoS One. 2012;7(2):e30238. doi: 10.1371/journal.pone.0030238. Epub 2012 Feb 17.

12.
13.

Family-based association test using both common and rare variants and accounting for directions of effects for sequencing data.

Chung RH, Tsai WY, Martin ER.

PLoS One. 2014 Sep 22;9(9):e107800. doi: 10.1371/journal.pone.0107800. eCollection 2014.

14.

Rare variant association testing for next-generation sequencing data via hierarchical clustering.

Tachmazidou I, Morris A, Zeggini E.

Hum Hered. 2012;74(3-4):165-71. doi: 10.1159/000346022. Epub 2013 Apr 11.

15.

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.

16.
17.

Joint association testing of common and rare genetic variants using hierarchical modeling.

Cardin NJ, Mefford JA, Witte JS.

Genet Epidemiol. 2012 Sep;36(6):642-51. doi: 10.1002/gepi.21659. Epub 2012 Jul 16.

18.

Likelihood ratio tests in rare variant detection for continuous phenotypes.

Zeng P, Zhao Y, Liu J, Liu L, Zhang L, Wang T, Huang S, Chen F.

Ann Hum Genet. 2014 Sep;78(5):320-32. doi: 10.1111/ahg.12071.

19.

Rare genetic variant analysis on blood pressure in related samples.

Chen H, Choi SH, Hong J, Lu C, Milton JN, Allard C, Lacey SM, Lin H, Dupuis J.

BMC Proc. 2014 Jun 17;8(Suppl 1):S35. doi: 10.1186/1753-6561-8-S1-S35. eCollection 2014.

20.

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.

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