Kelci J. Miclaus, Ph.D.

Affiliations: 
2009 North Carolina State University, Raleigh, NC 
Area:
Statistics, Biostatistics Biology, Genetics
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"Kelci Miclaus"

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Jason Osborne grad student 2009 NCSU
 (Addressing sources of bias in genetic association studies.)
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Publications

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Battenfield SD, Sheridan JL, Silva LDCE, et al. (2018) Breeding-assisted genomics: Applying meta-GWAS for milling and baking quality in CIMMYT wheat breeding program. Plos One. 13: e0204757
Oliver RE, Islamovic E, Obert DE, et al. (2014) Comparative systems biology reveals allelic variation modulating Tocochromanol profiles in Barley (Hordeum vulgare L.). Plos One. 9: e96276
Oliver RE, Tinker NA, Lazo GR, et al. (2013) SNP discovery and chromosome anchoring provide the first physically-anchored hexaploid oat map and reveal synteny with model species. Plos One. 8: e58068
Islamovic E, Obert DE, Oliver RE, et al. (2013) A new genetic linkage map of barley (Hordeum vulgare L.) facilitates genetic dissection of height and spike length and angle Field Crops Research. 154: 91-99
Islamovic E, Obert DE, Oliver RE, et al. (2013) Genetic dissection of grain beta-glucan and amylose content in barley (Hordeum vulgare L.) Molecular Breeding. 31: 15-25
Hong H, Xu L, Liu J, et al. (2012) Technical reproducibility of genotyping SNP arrays used in genome-wide association studies. Plos One. 7: e44483
Chierici M, Miclaus K, Vega S, et al. (2010) An interactive effect of batch size and composition contributes to discordant results in GWAS with the CHIAMO genotyping algorithm. The Pharmacogenomics Journal. 10: 355-63
Miclaus K, Wolfinger R, Vega S, et al. (2010) Batch effects in the BRLMM genotype calling algorithm influence GWAS results for the Affymetrix 500K array. The Pharmacogenomics Journal. 10: 336-46
Miclaus K, Chierici M, Lambert C, et al. (2010) Variability in GWAS analysis: the impact of genotype calling algorithm inconsistencies. The Pharmacogenomics Journal. 10: 324-35
Hong H, Shi L, Su Z, et al. (2010) Assessing sources of inconsistencies in genotypes and their effects on genome-wide association studies with HapMap samples. The Pharmacogenomics Journal. 10: 364-74
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