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Results: 1 to 20 of 24

1.

Evaluating the concordance between sequencing, imputation and microarray genotype calls in the GAW18 data.

Rogers A, Beck A, Tintle NL.

BMC Proc. 2014 Jun 17;8(Suppl 1 Genetic Analysis Workshop 18Vanessa Olmo):S22. doi: 10.1186/1753-6561-8-S1-S22. eCollection 2014.

2.

Application of family-based tests of association for rare variants to pathways.

Greco B, Luedtke A, Hainline A, Alvarez C, Beck A, Tintle NL.

BMC Proc. 2014 Jun 17;8(Suppl 1 Genetic Analysis Workshop 18Vanessa Olmo):S105. doi: 10.1186/1753-6561-8-S1-S105. eCollection 2014.

3.

Evaluation of the power and type I error of recently proposed family-based tests of association for rare variants.

Hainline A, Alvarez C, Luedtke A, Greco B, Beck A, Tintle NL.

BMC Proc. 2014 Jun 17;8(Suppl 1):S36. doi: 10.1186/1753-6561-8-S1-S36. eCollection 2014.

4.

Genetic Analysis Workshop 18: Methods and strategies for analyzing human sequence and phenotype data in members of extended pedigrees.

Bickeböller H, Bailey JN, Beyene J, Cantor RM, Cordell HJ, Culverhouse RC, Engelman CD, Fardo DW, Ghosh S, König IR, Lorenzo Bermejo J, Melton PE, Santorico SA, Satten GA, Sun L, Tintle NL, Ziegler A, MacCluer JW, Almasy L.

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

5.

A genome-wide association study of saturated, mono- and polyunsaturated red blood cell fatty acids in the Framingham Heart Offspring Study.

Tintle NL, Pottala JV, Lacey S, Ramachandran V, Westra J, Rogers A, Clark J, Olthoff B, Larson M, Harris W, Shearer GC.

Prostaglandins Leukot Essent Fatty Acids. 2015 Mar;94:65-72. doi: 10.1016/j.plefa.2014.11.007. Epub 2014 Dec 2.

PMID:
25500335
6.

Value of Mendelian laws of segregation in families: data quality control, imputation, and beyond.

Blue EM, Sun L, Tintle NL, Wijsman EM.

Genet Epidemiol. 2014 Sep;38 Suppl 1:S21-8. doi: 10.1002/gepi.21821.

PMID:
25112184
7.

The State-Trait Hopelessness Scale: development and testing.

Dunn SL, Olamijulo GB, Fuglseth HL, Holden TP, Swieringa LL, Sit MJ, Rieth NP, Tintle NL.

West J Nurs Res. 2014 Apr;36(4):552-70. doi: 10.1177/0193945913507634. Epub 2013 Oct 10.

PMID:
24122739
8.

Incorporating prior knowledge to increase the power of genome-wide association studies.

Petersen A, Spratt J, Tintle NL.

Methods Mol Biol. 2013;1019:519-41. doi: 10.1007/978-1-62703-447-0_25. Review.

PMID:
23756909
9.

Assessing methods for assigning SNPs to genes in gene-based tests of association using common variants.

Petersen A, Alvarez C, DeClaire S, Tintle NL.

PLoS One. 2013 May 31;8(5):e62161. doi: 10.1371/journal.pone.0062161. Print 2013.

10.

A geometric framework for evaluating rare variant tests of association.

Liu K, Fast S, Zawistowski M, Tintle NL.

Genet Epidemiol. 2013 May;37(4):345-57. doi: 10.1002/gepi.21722. Epub 2013 Mar 21.

11.

Assessing the impact of differential genotyping errors on rare variant tests of association.

Mayer-Jochimsen M, Fast S, Tintle NL.

PLoS One. 2013;8(3):e56626. doi: 10.1371/journal.pone.0056626. Epub 2013 Mar 5.

12.

Evaluating the consistency of gene sets used in the analysis of bacterial gene expression data.

Tintle NL, Sitarik A, Boerema B, Young K, Best AA, Dejongh M.

BMC Bioinformatics. 2012 Aug 8;13:193. doi: 10.1186/1471-2105-13-193.

13.

Evaluating methods for combining rare variant data in pathway-based tests of genetic association.

Petersen A, Sitarik A, Luedtke A, Powers S, Bekmetjev A, Tintle NL.

BMC Proc. 2011 Nov 29;5 Suppl 9:S48. doi: 10.1186/1753-6561-5-S9-S48.

14.

Evaluating methods for the analysis of rare variants in sequence data.

Luedtke A, Powers S, Petersen A, Sitarik A, Bekmetjev A, Tintle NL.

BMC Proc. 2011 Nov 29;5 Suppl 9:S119. doi: 10.1186/1753-6561-5-S9-S119.

15.

Comparing gene set analysis methods on single-nucleotide polymorphism data from Genetic Analysis Workshop 16.

Tintle NL, Borchers B, Brown M, Bekmetjev A.

BMC Proc. 2009 Dec 15;3 Suppl 7:S96.

16.

Incorporating duplicate genotype data into linear trend tests of genetic association: methods and cost-effectiveness.

Borchers B, Brown M, McLellan B, Bekmetjev A, Tintle NL.

Stat Appl Genet Mol Biol. 2009;8:Article24. doi: 10.2202/1544-6115.1433. Epub 2009 May 5.

17.

Gene set analyses for interpreting microarray experiments on prokaryotic organisms.

Tintle NL, Best AA, DeJongh M, Van Bruggen D, Heffron F, Porwollik S, Taylor RC.

BMC Bioinformatics. 2008 Nov 5;9:469. doi: 10.1186/1471-2105-9-469.

18.

The mental health of clean-up workers 18 years after the Chernobyl accident.

Loganovsky K, Havenaar JM, Tintle NL, Guey LT, Kotov R, Bromet EJ.

Psychol Med. 2008 Apr;38(4):481-8. Epub 2007 Nov 30.

PMID:
18047772
19.

Smoking initiation and nicotine dependence symptoms in Ukraine: findings from the Ukraine World Mental Health survey.

Webb CP, Bromet EJ, Tintle NL, Schwartz JE, Gluzman SF, Kostyuchenko S, Havenaar JM.

Public Health. 2007 Sep;121(9):663-72. Epub 2007 Jun 4.

20.

Using duplicate genotyped data in genetic analyses: testing association and estimating error rates.

Tintle NL, Gordon D, McMahon FJ, Finch SJ.

Stat Appl Genet Mol Biol. 2007;6:Article4. Epub 2007 Feb 5.

PMID:
17402919
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