Herold C - Search Results

1

Novel genetic matching methods for handling population stratification in genome-wide association studies.

Lacour A, Schüller V, Drichel D, Herold C, Jessen F, Leber M, Maier W, Noethen MM, Ramirez A, Vaitsiakhovich T, Becker T. Lacour A, et al. Among authors: herold c. BMC Bioinformatics. 2015 Mar 14;16:84. doi: 10.1186/s12859-015-0521-4. BMC Bioinformatics. 2015. PMID: 25880419 Free PMC article.

2

Genetic association analysis with FAMHAP: a major program update.

Herold C, Becker T. Herold C, et al. Bioinformatics. 2009 Jan 1;25(1):134-6. doi: 10.1093/bioinformatics/btn581. Epub 2008 Nov 9. Bioinformatics. 2009. PMID: 19015131

3

Joint analysis of tightly linked SNPs in screening step of genome-wide association studies leads to increased power.

Becker T, Herold C. Becker T, et al. Among authors: herold c. Eur J Hum Genet. 2009 Aug;17(8):1043-9. doi: 10.1038/ejhg.2009.7. Epub 2009 Feb 18. Eur J Hum Genet. 2009. PMID: 19223937 Free PMC article.

4

INTERSNP: genome-wide interaction analysis guided by a priori information.

Herold C, Steffens M, Brockschmidt FF, Baur MP, Becker T. Herold C, et al. Bioinformatics. 2009 Dec 15;25(24):3275-81. doi: 10.1093/bioinformatics/btp596. Epub 2009 Oct 16. Bioinformatics. 2009. PMID: 19837719

5

Integrated genome-wide pathway association analysis with INTERSNP.

Herold C, Mattheisen M, Lacour A, Vaitsiakhovich T, Angisch M, Drichel D, Becker T. Herold C, et al. Hum Hered. 2012;73(2):63-72. doi: 10.1159/000336196. Epub 2012 Mar 7. Hum Hered. 2012. PMID: 22399020

6

Quick, "imputation-free" meta-analysis with proxy-SNPs.

Meesters C, Leber M, Herold C, Angisch M, Mattheisen M, Drichel D, Lacour A, Becker T. Meesters C, et al. Among authors: herold c. BMC Bioinformatics. 2012 Sep 12;13:231. doi: 10.1186/1471-2105-13-231. BMC Bioinformatics. 2012. PMID: 22971100 Free PMC article.

7

METAINTER: meta-analysis of multiple regression models in genome-wide association studies.

Vaitsiakhovich T, Drichel D, Herold C, Lacour A, Becker T. Vaitsiakhovich T, et al. Among authors: herold c. Bioinformatics. 2015 Jan 15;31(2):151-7. doi: 10.1093/bioinformatics/btu629. Epub 2014 Sep 23. Bioinformatics. 2015. PMID: 25252781

8

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. Drichel D, et al. Among authors: herold c. Hum Hered. 2014;78(3-4):164-78. doi: 10.1159/000368676. Epub 2014 Dec 10. Hum Hered. 2014. PMID: 25504234

9

Evaluation of potential power gain with imputed genotypes in genome-wide association studies.

Becker T, Flaquer A, Brockschmidt FF, Herold C, Steffens M. Becker T, et al. Among authors: herold c. Hum Hered. 2009;68(1):23-34. doi: 10.1159/000210446. Epub 2009 Apr 1. Hum Hered. 2009. PMID: 19339783

10

Significance levels in genome-wide interaction analysis (GWIA).

Becker T, Herold C, Meesters C, Mattheisen M, Baur MP. Becker T, et al. Among authors: herold c. Ann Hum Genet. 2011 Jan;75(1):29-35. doi: 10.1111/j.1469-1809.2010.00610.x. Epub 2010 Oct 18. Ann Hum Genet. 2011. PMID: 20950400

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