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Full-Text Articles in Genomics
Robust Meta-Analysis For Large-Scale Genomic Experiments Based On An Empirical Approach, Sinjini Sikdar
Robust Meta-Analysis For Large-Scale Genomic Experiments Based On An Empirical Approach, Sinjini Sikdar
Mathematics & Statistics Faculty Publications
BACKGROUND: Recent high-throughput technologies have opened avenues for simultaneous analyses of thousands of genes. With the availability of a multitude of public databases, one can easily access multiple genomic study results where each study comprises of significance testing results of thousands of genes. Researchers currently tend to combine this genomic information from these multiple studies in the form of a meta-analysis. As the number of genes involved is very large, the classical meta-analysis approaches need to be updated to acknowledge this large-scale aspect of the data.
METHODS: In this article, we discuss how application of standard theoretical null distributional assumptions …
Opioid Medication Use And Blood Dna Methylation: Epigenome-Wide Association Meta-Analysis, Mikyeong Lee, Roby Joehanes, Daniel L. Mccartney, Minjung Kho, Anke Hüls, Annah B. Wyss, Chunyu Liu, Rosie M. Walker, Sharon L.R. Kardia, Thomas S. Wingo, Adam Burkholder, Jiantao Ma, Archie Campbell, Aliza P. Wingo, Tianxiao Huan, Sinjini Sikdar, Amena Keshawarz, David A. Bennett, Jennifer A. Smith, Kathryn L. Evans, Daniel Levy, Stephanie J. London
Opioid Medication Use And Blood Dna Methylation: Epigenome-Wide Association Meta-Analysis, Mikyeong Lee, Roby Joehanes, Daniel L. Mccartney, Minjung Kho, Anke Hüls, Annah B. Wyss, Chunyu Liu, Rosie M. Walker, Sharon L.R. Kardia, Thomas S. Wingo, Adam Burkholder, Jiantao Ma, Archie Campbell, Aliza P. Wingo, Tianxiao Huan, Sinjini Sikdar, Amena Keshawarz, David A. Bennett, Jennifer A. Smith, Kathryn L. Evans, Daniel Levy, Stephanie J. London
Mathematics & Statistics Faculty Publications
Aim: To identify differential methylation related to prescribed opioid use. Methods: This study examined whether blood DNA methylation, measured using Illumina arrays, differs by recent opioid medication use in four population-based cohorts. We meta-analyzed results (282 users; 10,560 nonusers) using inverse-variance weighting. Results: Differential methylation (false discovery rate <0.05) was observed at six CpGs annotated to the following genes: KIAA0226, CPLX2, TDRP, RNF38, TTC23 and GPR179. Integrative epigenomic analyses linked implicated loci to regulatory elements in blood and/or brain. Additionally, 74 CpGs were differentially methylated in males or females. Methylation at significant CpGs correlated with gene expression in blood and/or brain. Conclusion: This study identified DNA …
Analysis Of Biological Features Associated With Meiotic Recombination Hot And Cold Spots In Saccharomyces Cerevisiae, Loren Hansen, Nak-Kyeong Kim, Leonardo Mariño-Ramírez, David Landsman
Analysis Of Biological Features Associated With Meiotic Recombination Hot And Cold Spots In Saccharomyces Cerevisiae, Loren Hansen, Nak-Kyeong Kim, Leonardo Mariño-Ramírez, David Landsman
Mathematics & Statistics Faculty Publications
Meiotic recombination is not distributed uniformly throughout the genome. There are regions of high and low recombination rates called hot and cold spots, respectively. The recombination rate parallels the frequency of DNA double-strand breaks (DSBs) that initiate meiotic recombination. The aim is to identify biological features associated with DSB frequency. We constructed vectors representing various chromatin and sequence-based features for 1179 DSB hot spots and 1028 DSB cold spots. Using a feature selection approach, we have identified five features that distinguish hot from cold spots in Saccharomyces cerevisiae with high accuracy, namely the histone marks H3K4me3, H3K14ac, H3K36me3, and H3K79me3; …