Medicine and Health Sciences Commons^™

Rheumatoid Arthritis-Relevant Dna Methylation Changes Identified In Acpa-Positive Asymptomatic Individuals Using Methylome Capture Sequencing., Xiaojian Shao, Marie Hudson, Ines Colmegna, Celia M T Greenwood, Marvin J. Fritzler, Philip Awadalla, T Pastinen, Sasha Bernatsky

Manuscripts, Articles, Book Chapters and Other Papers

OBJECTIVE: To compare DNA methylation in subjects positive vs negative for anti-citrullinated protein antibodies (ACPA), a key serological marker of rheumatoid arthritis (RA) risk.

METHODS: With banked serum from a random subset (N = 3600) of a large general population cohort, we identified ACPA-positive samples and compared them to age- and sex-matched ACPA-negative controls. We used a custom-designed methylome panel to conduct targeted bisulfite sequencing of 5 million CpGs located in regulatory or hypomethylated regions of DNA from whole blood (red blood cell lysed). Using binomial regression models, we investigated the differentially methylated regions (DMRs) between ACPA-positive vs ACPA-negative subjects. …

Dissecting Features Of Epigenetic Variants Underlying Cardiometabolic Risk Using Full-Resolution Epigenome Profiling In Regulatory Elements., Fiona Allum, Åsa K. Hedman, Xiaojian Shao, Warren A. Cheung, Jinchu Vijay, Frédéric Guénard, Tony Kwan, Marie-Michelle Simon, Bing Ge, Cristiano Moura, Elodie Boulier, Lars Rönnblom, Sasha Bernatsky, Mark Lathrop, Mark I. Mccarthy, Panos Deloukas, André Tchernof, T Pastinen, Marie-Claude Vohl, Elin Grundberg

Manuscripts, Articles, Book Chapters and Other Papers

Sparse profiling of CpG methylation in blood by microarrays has identified epigenetic links to common diseases. Here we apply methylC-capture sequencing (MCC-Seq) in a clinical population of ~200 adipose tissue and matched blood samples (Ntotal~400), providing high-resolution methylation profiling (>1.3 M CpGs) at regulatory elements. We link methylation to cardiometabolic risk through associations to circulating plasma lipid levels and identify lipid-associated CpGs with unique localization patterns in regulatory elements. We show distinct features of tissue-specific versus tissue-independent lipid-linked regulatory regions by contrasting with parallel assessments in ~800 independent adipose tissue and blood samples from the general population. We follow-up …

Genomic Prediction Of Relapse In Recipients Of Allogeneic Haematopoietic Stem Cell Transplantation., J Ritari, K Hyvärinen, S Koskela, M Itälä-Remes, R Niittyvuopio, A Nihtinen, U Salmenniemi, M Putkonen, L Volin, T Kwan, T Pastinen, J Partanen

Manuscripts, Articles, Book Chapters and Other Papers

Allogeneic haematopoietic stem cell transplantation currently represents the primary potentially curative treatment for cancers of the blood and bone marrow. While relapse occurs in approximately 30% of patients, few risk-modifying genetic variants have been identified. The present study evaluates the predictive potential of patient genetics on relapse risk in a genome-wide manner. We studied 151 graft recipients with HLA-matched sibling donors by sequencing the whole-exome, active immunoregulatory regions, and the full MHC region. To assess the predictive capability and contributions of SNPs and INDELs, we employed machine learning and a feature selection approach in a cross-validation framework to discover the …

An Eqtl Landscape Of Kidney Tissue In Human Nephrotic Syndrome., Christopher E. Gillies, Rosemary Putler, Rajasree Menon, Edgar Otto, Kalyn Yasutake, Viji Nair, Paul Hoover, David Lieb, Shuqiang Li, Sean Eddy, Damian Fermin, Michelle T. Mcnulty, Nephrotic Syndrome Study Network (Neptune), Nir Hacohen, Krzysztof Kiryluk, Matthias Kretzler, Xiaoquan Wen, Matthew G. Sampson, Tarak Srivastava

Manuscripts, Articles, Book Chapters and Other Papers

Expression quantitative trait loci (eQTL) studies illuminate the genetics of gene expression and, in disease research, can be particularly illuminating when using the tissues directly impacted by the condition. In nephrology, there is a paucity of eQTL studies of human kidney. Here, we used whole-genome sequencing (WGS) and microdissected glomerular (GLOM) and tubulointerstitial (TI) transcriptomes from 187 individuals with nephrotic syndrome (NS) to describe the eQTL landscape in these functionally distinct kidney structures. Using MatrixEQTL, we performed cis-eQTL analysis on GLOM (n = 136) and TI (n = 166). We used the Bayesian "Deterministic Approximation of Posteriors" (DAP) to fine-map …

Diet And Polycystic Kidney Disease: A Pilot Intervention Study., Jacob M. Taylor, Jill M. Hamilton-Reeves, Debra K. Sullivan, Cheryl A. Gibson, Catherine Creed, Susan E. Carlson, Donald E. Wesson, Jared J. Grantham

Manuscripts, Articles, Book Chapters and Other Papers

BACKGROUND & AIMS: Dietary sodium, protein, acid precursors, and water have been linked to cyst growth in polycystic kidney disease; yet, no studies in patients have examined the feasibility of using a dietary intervention that controls all of these factors. The aim of this study was to determine if a diet, appropriate for persons of most ages, reduces the excretion of sodium, urea, acid, and decreases mean urine osmolality while gaining acceptance by patients with autosomal dominant polycystic kidney disease (ADPKD).

METHODS: Twelve adults with ADPKD enrolled in a pre-post pilot feasibility study and served as their own controls. Individuals …

Novel Hla-Dp Region Susceptibility Loci Associated With Severe Acute Gvhd., Rakesh K. Goyal, S J. Lee, T Wang, M Trucco, M Haagenson, S R. Spellman, M Verneris, R E. Ferrell

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Despite HLA allele matching, significant acute GvHD remains a major barrier to successful unrelated donor BMT. We conducted a genome-wide association study (GWAS) to identify recipient and donor genes associated with the risk of acute GvHD. A case-control design (grade III-IV versus no acute GvHD) and pooled GWA approach was used to study European-American recipients with hematological malignancies who received myeloablative conditioning non-T-cell-depleted first transplantation from HLA-A, -B, -C, -DRB1, -DQB1 allele level (10/10) matched unrelated donors. DNA samples were divided into three pools and tested in triplicate using the Affymetrix Genome-wide SNP Array 6.0. We identified three novel susceptibility …

An Integrated Clinico-Metabolomic Model Improves Prediction Of Death In Sepsis., Raymond J. Langley, Ephraim L. Tsalik, Jennifer C. Van Velkinburgh, Seth W. Glickman, Brandon J. Rice, Chunping Wang, Bo Chen, Lawrence Carin, Arturo Suarez, Robert P. Mohney, Debra H. Freeman, Mu Wang, Jinsam You, Jacob Wulff, J Will Thompson, M Arthur Moseley, Stephanie Reisinger, Brian T. Edmonds, Brian Grinnell, David R. Nelson, Darrell L. Dinwiddie, Neil A. Miller, Carol J. Saunders, Sarah Soden, Angela J. Rogers, Lee Gazourian, Laura E. Fredenburgh, Anthony F. Massaro, Rebecca M. Baron, Augustine M K Choi, G Ralph Corey, Geoffrey S. Ginsburg, Charles B. Cairns, Ronny M. Otero, Vance G. Fowler, Emanuel P. Rivers, Christopher W. Woods, Stephen F. Kingsmore

Manuscripts, Articles, Book Chapters and Other Papers

Sepsis is a common cause of death, but outcomes in individual patients are difficult to predict. Elucidating the molecular processes that differ between sepsis patients who survive and those who die may permit more appropriate treatments to be deployed. We examined the clinical features and the plasma metabolome and proteome of patients with and without community-acquired sepsis, upon their arrival at hospital emergency departments and 24 hours later. The metabolomes and proteomes of patients at hospital admittance who would ultimately die differed markedly from those of patients who would survive. The different profiles of proteins and metabolites clustered into the …