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Items: 1 to 20 of 68

1.

Testing for rare variant associations in the presence of missing data.

Auer PL, Wang G, Leal SM.

Genet Epidemiol. 2013 Sep;37(6):529-38. doi: 10.1002/gepi.21736. Epub 2013 Jun 11.

2.

Optimal unified approach for rare-variant association testing with application to small-sample case-control whole-exome sequencing studies.

Lee S, Emond MJ, Bamshad MJ, Barnes KC, Rieder MJ, Nickerson DA; NHLBI GO Exome Sequencing Project—ESP Lung Project Team, Christiani DC, Wurfel MM, Lin X.

Am J Hum Genet. 2012 Aug 10;91(2):224-37. doi: 10.1016/j.ajhg.2012.06.007. Epub 2012 Aug 2.

3.

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.

4.

Rare-variant extensions of the transmission disequilibrium test: application to autism exome sequence data.

He Z, O'Roak BJ, Smith JD, Wang G, Hooker S, Santos-Cortez RL, Li B, Kan M, Krumm N, Nickerson DA, Shendure J, Eichler EE, Leal SM.

Am J Hum Genet. 2014 Jan 2;94(1):33-46. doi: 10.1016/j.ajhg.2013.11.021. Epub 2013 Dec 19.

5.

Pathway analysis with next-generation sequencing data.

Zhao J, Zhu Y, Boerwinkle E, Xiong M.

Eur J Hum Genet. 2015 Apr;23(4):507-15. doi: 10.1038/ejhg.2014.121. Epub 2014 Jul 2.

6.

A haplotype-based framework for group-wise transmission/disequilibrium tests for rare variant association analysis.

Chen R, Wei Q, Zhan X, Zhong X, Sutcliffe JS, Cox NJ, Cook EH, Li C, Chen W, Li B.

Bioinformatics. 2015 May 1;31(9):1452-9. doi: 10.1093/bioinformatics/btu860. Epub 2015 Jan 6.

7.

Regularized rare variant enrichment analysis for case-control exome sequencing data.

Larson NB, Schaid DJ.

Genet Epidemiol. 2014 Feb;38(2):104-13. doi: 10.1002/gepi.21783. Epub 2013 Dec 30.

8.

A variational Bayes discrete mixture test for rare variant association.

Logsdon BA, Dai JY, Auer PL, Johnsen JM, Ganesh SK, Smith NL, Wilson JG, Tracy RP, Lange LA, Jiao S, Rich SS, Lettre G, Carlson CS, Jackson RD, O'Donnell CJ, Wurfel MM, Nickerson DA, Tang H, Reiner AP, Kooperberg C; NHLBI GO Exome Sequencing Project.

Genet Epidemiol. 2014 Jan;38(1):21-30.

9.

Meta-analysis of sequencing studies with heterogeneous genetic associations.

Tang ZZ, Lin DY.

Genet Epidemiol. 2014 Jul;38(5):389-401. doi: 10.1002/gepi.21798. Epub 2014 May 5.

10.

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.

11.

BETASEQ: a powerful novel method to control type-I error inflation in partially sequenced data for rare variant association testing.

Yan S, Li Y.

Bioinformatics. 2014 Feb 15;30(4):480-7. doi: 10.1093/bioinformatics/btt719. Epub 2013 Dec 12.

12.

Assessing the Power of Exome Chips.

Page CM, Baranzini SE, Mevik BH, Bos SD, Harbo HF, Andreassen BK.

PLoS One. 2015 Oct 5;10(10):e0139642. doi: 10.1371/journal.pone.0139642. eCollection 2015.

13.

A powerful approach to test an optimally weighted combination of rare variants in admixed populations.

Wang X, Zhang S, Li Y, Li M, Sha Q.

Genet Epidemiol. 2015 May;39(4):294-305. doi: 10.1002/gepi.21894. Epub 2015 Mar 10.

PMID:
25758547
14.

A fast and noise-resilient approach to detect rare-variant associations with deep sequencing data for complex disorders.

Cheung YH, Wang G, Leal SM, Wang S.

Genet Epidemiol. 2012 Nov;36(7):675-85. doi: 10.1002/gepi.21662. Epub 2012 Aug 3.

PMID:
22865616
15.

gsSKAT: Rapid gene set analysis and multiple testing correction for rare-variant association studies using weighted linear kernels.

Larson NB, McDonnell S, Cannon Albright L, Teerlink C, Stanford J, Ostrander EA, Isaacs WB, Xu J, Cooney KA, Lange E, Schleutker J, Carpten JD, Powell I, Bailey-Wilson JE, Cussenot O, Cancel-Tassin G, Giles GG, MacInnis RJ, Maier C, Whittemore AS, Hsieh CL, Wiklund F, Catolona WJ, Foulkes W, Mandal D, Eeles R, Kote-Jarai Z, Ackerman MJ, Olson TM, Klein CJ, Thibodeau SN, Schaid DJ.

Genet Epidemiol. 2017 May;41(4):297-308. doi: 10.1002/gepi.22036. Epub 2017 Feb 16. Erratum in: Genet Epidemiol. 2017 Nov;41(7):710.

PMID:
28211093
16.

A statistical approach for rare-variant association testing in affected sibships.

Epstein MP, Duncan R, Ware EB, Jhun MA, Bielak LF, Zhao W, Smith JA, Peyser PA, Kardia SL, Satten GA.

Am J Hum Genet. 2015 Apr 2;96(4):543-54. doi: 10.1016/j.ajhg.2015.01.020. Epub 2015 Mar 19.

17.

Rare variant testing of imputed data: an analysis pipeline typified.

Drichel D, Herold C, Lacour A, Ramirez A, Jessen F, Maier W, Noethen MM, Leber M, Vaitsiakhovich T, Becker T.

Hum Hered. 2014;78(3-4):164-78. doi: 10.1159/000368676. Epub 2014 Dec 10.

18.

Pathway-based approaches for sequencing-based genome-wide association studies.

Wu G, Zhi D.

Genet Epidemiol. 2013 Jul;37(5):478-94. doi: 10.1002/gepi.21728. Epub 2013 May 5.

19.

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.

20.

Utilising family-based designs for detecting rare variant disease associations.

Preston MD, Dudbridge F.

Ann Hum Genet. 2014 Mar;78(2):129-40. doi: 10.1111/ahg.12051.

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