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Results: 1 to 20 of 102

Similar articles for PubMed (Select 22373254)

1.

Detecting disease rare alleles using single SNPs in families and haplotyping in unrelated subjects from the Genetic Analysis Workshop 17 data.

Kraja AT, Czajkowski J, Feitosa MF, Borecki IB, Province MA.

BMC Proc. 2011 Nov 29;5 Suppl 9:S96. doi: 10.1186/1753-6561-5-S9-S96.

2.

Comparison of Nonlinear Mixed Effects Models and Noncompartmental Approaches in Detecting Pharmacogenetic Covariates.

Tessier A, Bertrand J, Chenel M, Comets E.

AAPS J. 2015 May;17(3):597-608. doi: 10.1208/s12248-015-9726-8. Epub 2015 Feb 20.

PMID:
25693489
3.

Detecting associations of rare variants with common diseases: collapsing or haplotyping?

Wang M, Lin S.

Brief Bioinform. 2015 Jan 17. pii: bbu050. [Epub ahead of print]

PMID:
25596401
4.

Knowledge-constrained K-medoids Clustering of Regulatory Rare Alleles for Burden Tests.

Sivley RM, Fish AE, Bush WS.

Evol Comput Mach Learn Data Min Bioinform. 2013;7833:35-42.

5.

Evaluation of gene-based association tests for analyzing rare variants using Genetic Analysis Workshop 18 data.

Derkach A, Lawless JF, Merico D, Paterson AD, Sun L.

BMC Proc. 2014 Jun 17;8(Suppl 1 Genetic Analysis Workshop 18Vanessa Olmo):S9. doi: 10.1186/1753-6561-8-S1-S9. eCollection 2014.

6.

Genetic association analysis using weighted false discovery rate approach on Genetic Analysis Workshop 18 data.

Qiu X, Shen X, Espin-Garcia O, Azad AK, Liu G, Xu W.

BMC Proc. 2014 Jun 17;8(Suppl 1 Genetic Analysis Workshop 18Vanessa Olmo):S76. doi: 10.1186/1753-6561-8-S1-S76. eCollection 2014.

7.

Bivariate linear mixed model analysis to test joint associations of genetic variants on systolic and diastolic blood pressure.

Neupane B, Beyene J.

BMC Proc. 2014 Jun 17;8(Suppl 1 Genetic Analysis Workshop 18Vanessa Olmo):S75. doi: 10.1186/1753-6561-8-S1-S75. eCollection 2014.

8.

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.

9.

Identifying rare variant associations in population-based and family-based designs.

Turkmen AS, Lin S.

BMC Proc. 2014 Jun 17;8(Suppl 1 Genetic Analysis Workshop 18Vanessa Olmo):S58. doi: 10.1186/1753-6561-8-S1-S58. eCollection 2014.

10.

Population structure at different minor allele frequency levels.

De la Cruz O, Raska P.

BMC Proc. 2014 Jun 17;8(Suppl 1 Genetic Analysis Workshop 18Vanessa Olmo):S55. doi: 10.1186/1753-6561-8-S1-S55. eCollection 2014.

11.

Adjustment of familial relatedness in association test for rare variants.

Li C, Yang C, Chen M, Chen X, Hou L, Zhao H.

BMC Proc. 2014 Jun 17;8(Suppl 1 Genetic Analysis Workshop 18Vanessa Olmo):S39. doi: 10.1186/1753-6561-8-S1-S39. eCollection 2014.

12.

Small sample properties of rare variant analysis methods.

Swartz MD, Kim T, Niu J, Yu RK, Shete S, Ionita-Laza I.

BMC Proc. 2014 Jun 17;8(Suppl 1 Genetic Analysis Workshop 18Vanessa Olmo):S13. doi: 10.1186/1753-6561-8-S1-S13. eCollection 2014.

13.

Rare variant analysis of blood pressure phenotypes in the Genetic Analysis Workshop 18 whole genome sequencing data using sequence kernel association test.

Mallaney C, Sung YJ.

BMC Proc. 2014 Jun 17;8(Suppl 1 Genetic Analysis Workshop 18Vanessa Olmo):S10. doi: 10.1186/1753-6561-8-S1-S10. eCollection 2014.

14.

Evaluation of logistic Bayesian LASSO for identifying association with rare haplotypes.

Biswas S, Papachristou C.

BMC Proc. 2014 Jun 17;8(Suppl 1):S54. doi: 10.1186/1753-6561-8-S1-S54. eCollection 2014.

15.

Kernel score statistic for dependent data.

Malzahn D, Friedrichs S, Rosenberger A, Bickeböller H.

BMC Proc. 2014 Jun 17;8(Suppl 1):S41. doi: 10.1186/1753-6561-8-S1-S41. eCollection 2014.

16.

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.

17.

Comparing the power of family-based association tests for sequence data with applications in the GAW18 simulated data.

Huang J, Chen Y, Swartz MD, Ionita-Laza I.

BMC Proc. 2014 Jun 17;8(Suppl 1):S27. doi: 10.1186/1753-6561-8-S1-S27. eCollection 2014.

18.

Summary of results and discussions from the gene-based tests group at Genetic Analysis Workshop 18.

Cordell HJ.

Genet Epidemiol. 2014 Sep;38 Suppl 1:S44-8. doi: 10.1002/gepi.21824.

19.

CrypticIBDcheck: an R package for checking cryptic relatedness in nominally unrelated individuals.

Nembot-Simo A, Graham J, McNeney B.

Source Code Biol Med. 2013 Feb 6;8(1):5. doi: 10.1186/1751-0473-8-5.

20.

Genome-wide association analyses of the 15th QTL-MAS workshop data using mixed model based single locus regression analysis.

Fu WX, Wang CL, Ding XD, Zhang Z, Ma PP, Weng ZQ, Liu JF, Zhang Q.

BMC Proc. 2012 May 21;6 Suppl 2:S5. doi: 10.1186/1753-6561-6-S2-S5. Epub 2012 May 21.

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