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Full-Text Articles in Medicine and Health Sciences
An Ewas Of Dementia Biomarkers And Their Associations With Age, African Ancestry, And Ptsd, Mark W. Miller, Erika J. Wolf, Xiang Zhao, Mark W. Logue, Sage E. Hawn
An Ewas Of Dementia Biomarkers And Their Associations With Age, African Ancestry, And Ptsd, Mark W. Miller, Erika J. Wolf, Xiang Zhao, Mark W. Logue, Sage E. Hawn
Psychology Faculty Publications
Background
Large-scale cohort and epidemiological studies suggest that PTSD confers risk for dementia in later life but the biological mechanisms underlying this association remain unknown. This study examined this question by assessing the influences of PTSD, APOE ε4 genotypes, DNA methylation, and other variables on the age- and dementia-associated biomarkers Aβ40, Aβ42, GFAP, NfL, and pTau-181 measured in plasma. Our primary hypothesis was that PTSD would be associated with elevated levels of these markers.
Methods
Analyses were based on data from a PTSD-enriched cohort of 849 individuals. We began by performing factor analyses of the biomarkers, the results of which …
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
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 …