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Items: 1 to 20 of 38

1.

A multi-SNP association test for complex diseases incorporating an optimal P-value threshold algorithm in nuclear families.

Wang YT, Sung PY, Lin PL, Yu YW, Chung RH.

BMC Genomics. 2015 May 15;16:381. doi: 10.1186/s12864-015-1620-3.

2.

Genetic association between germline JAK2 polymorphisms and myeloproliferative neoplasms in Hong Kong Chinese population: a case-control study.

Koh SP, Yip SP, Lee KK, Chan CC, Lau SM, Kho CS, Lau CK, Lin SY, Lau YM, Wong LG, Au KL, Wong KF, Chu RW, Yu PH, Chow EY, Leung KF, Tsoi WC, Yung BY.

BMC Genet. 2014 Dec 20;15:147. doi: 10.1186/s12863-014-0147-y.

3.

A set-based association test identifies sex-specific gene sets associated with type 2 diabetes.

He T, Zhong PS, Cui Y.

Front Genet. 2014 Nov 12;5:395. doi: 10.3389/fgene.2014.00395. eCollection 2014.

4.

A fast multilocus test with adaptive SNP selection for large-scale genetic-association studies.

Zhang H, Shi J, Liang F, Wheeler W, Stolzenberg-Solomon R, Yu K.

Eur J Hum Genet. 2014 May;22(5):696-702. doi: 10.1038/ejhg.2013.201. Epub 2013 Sep 11.

5.

Accurate prediction of a minimal region around a genetic association signal that contains the causal variant.

Bochdanovits Z, Simón-Sánchez J, Jonker M, Hoogendijk WJ, van der Vaart A, Heutink P.

Eur J Hum Genet. 2014 Feb;22(2):238-42. doi: 10.1038/ejhg.2013.115. Epub 2013 Jun 5.

6.

iLOCi: a SNP interaction prioritization technique for detecting epistasis in genome-wide association studies.

Piriyapongsa J, Ngamphiw C, Intarapanich A, Kulawonganunchai S, Assawamakin A, Bootchai C, Shaw PJ, Tongsima S.

BMC Genomics. 2012;13 Suppl 7:S2. doi: 10.1186/1471-2164-13-S7-S2. Epub 2012 Dec 13.

7.

Evaluation of seven common lipid associated loci in a large Indian sib pair study.

Rafiq S, Venkata KK, Gupta V, Vinay DG, Spurgeon CJ, Parameshwaran S, Madana SN, Kinra S, Bowen L, Timpson NJ, Smith GD, Dudbridge F, Prabhakaran D, Ben-Shlomo Y, Reddy KS, Ebrahim S, Chandak GR; Indian Migration Study Group.

Lipids Health Dis. 2012 Nov 14;11:155. doi: 10.1186/1476-511X-11-155.

8.

Multivariate detection of gene-gene interactions.

Rajapakse I, Perlman MD, Martin PJ, Hansen JA, Kooperberg C.

Genet Epidemiol. 2012 Sep;36(6):622-30. doi: 10.1002/gepi.21656. Epub 2012 Jul 10.

9.

Power of single- vs. multi-marker tests of association.

Wang X, Morris NJ, Schaid DJ, Elston RC.

Genet Epidemiol. 2012 Jul;36(5):480-7. doi: 10.1002/gepi.21642. Epub 2012 May 30.

10.

Improved statistics for genome-wide interaction analysis.

Ueki M, Cordell HJ.

PLoS Genet. 2012;8(4):e1002625. doi: 10.1371/journal.pgen.1002625. Epub 2012 Apr 5.

11.

Haplotype estimation from fuzzy genotypes using penalized likelihood.

Uh HW, Eilers PH.

PLoS One. 2011;6(9):e24219. doi: 10.1371/journal.pone.0024219. Epub 2011 Sep 8.

12.
13.

Genetics of VEGF serum variation in human isolated populations of cilento: importance of VEGF polymorphisms.

Ruggiero D, Dalmasso C, Nutile T, Sorice R, Dionisi L, Aversano M, Bröet P, Leutenegger AL, Bourgain C, Ciullo M.

PLoS One. 2011 Feb 9;6(2):e16982. doi: 10.1371/journal.pone.0016982.

14.

Association of a variant in the CHRNA5-A3-B4 gene cluster region to heavy smoking in the Italian population.

Sorice R, Bione S, Sansanelli S, Ulivi S, Athanasakis E, Lanzara C, Nutile T, Sala C, Camaschella C, D'Adamo P, Gasparini P, Ciullo M, Toniolo D.

Eur J Hum Genet. 2011 May;19(5):593-6. doi: 10.1038/ejhg.2010.240. Epub 2011 Jan 19.

15.

EPIBLASTER-fast exhaustive two-locus epistasis detection strategy using graphical processing units.

Kam-Thong T, Czamara D, Tsuda K, Borgwardt K, Lewis CM, Erhardt-Lehmann A, Hemmer B, Rieckmann P, Daake M, Weber F, Wolf C, Ziegler A, Pütz B, Holsboer F, Schölkopf B, Müller-Myhsok B.

Eur J Hum Genet. 2011 Apr;19(4):465-71. doi: 10.1038/ejhg.2010.196. Epub 2010 Dec 8.

16.

A simple and fast two-locus quality control test to detect false positives due to batch effects in genome-wide association studies.

Lee SH, Nyholt DR, Macgregor S, Henders AK, Zondervan KT, Montgomery GW, Visscher PM.

Genet Epidemiol. 2010 Dec;34(8):854-62. doi: 10.1002/gepi.20541.

17.
18.

Assessment of LD matrix measures for the analysis of biological pathway association.

Crosslin DR, Qin X, Hauser ER.

Stat Appl Genet Mol Biol. 2010;9:Article35. doi: 10.2202/1544-6115.1561. Epub 2010 Oct 2.

19.

BOOST: A fast approach to detecting gene-gene interactions in genome-wide case-control studies.

Wan X, Yang C, Yang Q, Xue H, Fan X, Tang NL, Yu W.

Am J Hum Genet. 2010 Sep 10;87(3):325-40. doi: 10.1016/j.ajhg.2010.07.021.

20.

A Bayesian approach using covariance of single nucleotide polymorphism data to detect differences in linkage disequilibrium patterns between groups of individuals.

Clark TG, Campino SG, Anastasi E, Auburn S, Teo YY, Small K, Rockett KA, Kwiatkowski DP, Holmes CC.

Bioinformatics. 2010 Aug 15;26(16):1999-2003. doi: 10.1093/bioinformatics/btq327. Epub 2010 Jun 16.

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