Medicine and Health Sciences Commons^™

Multi-Ancestry Genome-Wide Association Analyses Improve Resolution Of Genes And Pathways Influencing Lung Function And Chronic Obstructive Pulmonary Disease Risk, Nick Shrine, Abril G. Izquierdo, Jing Chen, Richard Packer, Robert J. Hall, Anna L. Guyatt, Chiara Batini, Rebecca J. Thompson, Chandan Puvuluri, Vidhi Malik, Brian D. Hobbs, Matthew Moll, Wonji Kim, Ruth Tal-Singer, Per Bakke, Katherine A. Fawcett, Catherine John, Kayesha Coley, Noemi Nicole Piga, Sinjini Sikdar, Martin D. Tobin, Et Al.

Mathematics & Statistics Faculty Publications

Lung-function impairment underlies chronic obstructive pulmonary disease (COPD) and predicts mortality. In the largest multi-ancestry genome-wide association meta-analysis of lung function to date, comprising 580,869 participants, we identified 1,020 independent association signals implicating 559 genes supported by ≥2 criteria from a systematic variant-to-gene mapping framework. These genes were enriched in 29 pathways. Individual variants showed heterogeneity across ancestries, age and smoking groups, and collectively as a genetic risk score showed strong association with COPD across ancestry groups. We undertook phenome-wide association studies for selected associated variants as well as trait and pathway-specific genetic risk scores to infer possible consequences of …

Pulmonary Function And Blood Dna Methylation: A Multiancestry Epigenome-Wide Association Meta-Analysis, Mikyeong Lee, Tianxiao Huan, Daniel L. Mccartney, Geetha Chittoor, Maaike De Vries, Lies Lahousse, Jennifer N. Nguyen, Jennifer A. Brody, Juan Castillo-Fernandez, Natalie Terzikhan, Cancan Qi, Roby Joehanes, Josine L. Min, Gordon J. Smilnak, Jessica R. Shaw, Chen Xi Yang, Elena Colicino, Thanh T. Hoang, Mairead L. Bermingham, Hanfei Xu, Anne E. Justice, Cheng-Jian Xu, Stephen S. Rich, Simon R. Cox, Judith M. Vonk, Ivana Prokić, Nona Sotoodehnia, Pei-Chien Tsai, Joel D. Schwartz, Janice M. Leung, Sinjini Sikdar, Rosie M. Walker, Sarah E. Harris, Diana A. Van Der Plaat, David J. Van Den Berg, Traci M. Bartz, Tim D. Spector, Pantel S. Vokonas, Riccardo E. Marioni, Adele M. Taylor, Yongmei Liu, R. Graham Barr, Leslie A. Lange, Andrea A. Baccarelli, Ma'en Obeidat, Myriam Fornage, Tianyuan Wang, James M. Ward, Alison A. Motsinger-Reif, Gibran Hemani, Gerard H. Koppelman, Jordana T. Bell, Sina A. Gharib, Guy Brusselle, H. Marike Boezen, Kari E. North, Daniel Levy, Kathryn L. Evans, Josée Dupris, Charles E. Breeze, Ani Manichaikul, Stephanie J. London

Mathematics & Statistics Faculty Publications

Rationale: Methylation integrates factors present at birth and modifiable across the lifespan that can influence pulmonary function. Studies are limited in scope and replication.

Objectives: To conduct large-scale epigenome-wide meta-analyses of blood DNA methylation and pulmonary function.

Methods: Twelve cohorts analyzed associations of methylation at cytosine-phosphate-guanine probes (CpGs), using Illumina 450K or EPIC/850K arrays, with FEV₁, FVC, and FEV₁/FVC. We performed multiancestry epigenome-wide meta-analyses (total of 17,503 individuals; 14,761 European, 2,549 African, and 193 Hispanic/Latino ancestries) and interpreted results using integrative epigenomics.

Measurements and Main Results: We identified 1,267 CpGs (1,042 genes) differentially methylated (false discovery …

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

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 …