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Jensen ET, Langefeld CD, Howard TD, Dellon ES. Validation of Epigenetic Markers for the Prediction of Response to Topical Corticosteroid Treatment in Eosinophilic Esophagitis. Clin Transl Gastroenterol 2023; 14:e00622. [PMID: 37439560 PMCID: PMC10522102 DOI: 10.14309/ctg.0000000000000622] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/13/2023] [Revised: 06/07/2023] [Accepted: 07/06/2023] [Indexed: 07/14/2023] Open
Abstract
INTRODUCTION We previously identified 18 CpG methylation biomarkers associated with treatment response to topical corticosteroids (tCS) in eosinophilic esophagitis (EoE). In this study, in an independent cohort, we assessed the validity of these CpG sites as treatment response biomarkers. METHODS DNA was extracted from prospectively biobanked esophageal biopsies from patients with newly diagnosed EoE enrolled in a randomized trial of 2 tCS formulations. Histologic response was defined as <15 eosinophils per high-power field. Pretreatment DNA methylation was assayed on the Illumina Human MethylationEPIC BeadChip. Logistic regression and area under the receiver operating characteristic curve analyses, adjusting for chip, position on the chip, age, sex, and baseline eosinophil count, were computed to test for an association between DNA methylation and treatment response at the 18 previously identified CpG sites. RESULTS We analyzed 88 patients (58 histologic responders, 30 nonresponders), with a mean age of 38 ± 16 years, 64% male, 97% White race. Of the 18 CpG sites, 13 met quality control criteria, and 3 were associated with responder status ( P < 0.012), including sites within UNC5B (cg26152017), ITGA6 (cg01044293), and LRRC8A (cg13962589). All 3 showed evidence of reduced methylation in treatment responders, consistent with the original discovery associations. The predictive probability for nonresponse with all 3 CpG sites was strong (area under the receiver operating characteristic curve = 0.79). DISCUSSION We validated epigenetic biomarkers (CpG methylation sites) for the prediction of tCS response in patients with EoE in an independent population. While not all previously identified markers replicated, 3 demonstrated a relatively high predictive probability for response to treatment and hold promise for guiding tCS treatment in EoE.
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Affiliation(s)
- Elizabeth T. Jensen
- Department of Epidemiology and Prevention, Wake Forest University School of Medicine, Winston-Salem, North Carolina, USA
- Division of Gastroenterology and Hepatology, Department of Medicine, University of North Carolina School of Medicine, Chapel Hill, North Carolina, USA
| | - Carl D. Langefeld
- Department of Biostatistics and Data Science, Wake Forest University School of Medicine, Winston-Salem, North Carolina, USA
- Wake Forest University School of Medicine, Center for Precision Medicine, Winston-Salem, North Carolina USA
| | - Timothy D. Howard
- Wake Forest University School of Medicine, Center for Precision Medicine, Winston-Salem, North Carolina USA
- Department of Biochemistry, Wake Forest University School of Medicine, Winston-Salem, North Carolina, USA
| | - Evan S. Dellon
- Division of Gastroenterology and Hepatology, Department of Medicine, University of North Carolina School of Medicine, Chapel Hill, North Carolina, USA
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Sluka KA, Wager TD, Sutherland SP, Labosky PA, Balach T, Bayman EO, Berardi G, Brummett CM, Burns J, Buvanendran A, Caffo B, Calhoun VD, Clauw D, Chang A, Coffey CS, Dailey DL, Ecklund D, Fiehn O, Fisch KM, Frey Law LA, Harris RE, Harte SE, Howard TD, Jacobs J, Jacobs JM, Jepsen K, Johnston N, Langefeld CD, Laurent LC, Lenzi R, Lindquist MA, Lokshin A, Kahn A, McCarthy RJ, Olivier M, Porter L, Qian WJ, Sankar CA, Satterlee J, Swensen AC, Vance CG, Waljee J, Wandner LD, Williams DA, Wixson RL, Zhou XJ. Predicting chronic postsurgical pain: current evidence and a novel program to develop predictive biomarker signatures. Pain 2023; 164:1912-1926. [PMID: 37326643 PMCID: PMC10436361 DOI: 10.1097/j.pain.0000000000002938] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/19/2022] [Revised: 03/02/2023] [Accepted: 03/02/2023] [Indexed: 06/17/2023]
Abstract
ABSTRACT Chronic pain affects more than 50 million Americans. Treatments remain inadequate, in large part, because the pathophysiological mechanisms underlying the development of chronic pain remain poorly understood. Pain biomarkers could potentially identify and measure biological pathways and phenotypical expressions that are altered by pain, provide insight into biological treatment targets, and help identify at-risk patients who might benefit from early intervention. Biomarkers are used to diagnose, track, and treat other diseases, but no validated clinical biomarkers exist yet for chronic pain. To address this problem, the National Institutes of Health Common Fund launched the Acute to Chronic Pain Signatures (A2CPS) program to evaluate candidate biomarkers, develop them into biosignatures, and discover novel biomarkers for chronification of pain after surgery. This article discusses candidate biomarkers identified by A2CPS for evaluation, including genomic, proteomic, metabolomic, lipidomic, neuroimaging, psychophysical, psychological, and behavioral measures. Acute to Chronic Pain Signatures will provide the most comprehensive investigation of biomarkers for the transition to chronic postsurgical pain undertaken to date. Data and analytic resources generatedby A2CPS will be shared with the scientific community in hopes that other investigators will extract valuable insights beyond A2CPS's initial findings. This article will review the identified biomarkers and rationale for including them, the current state of the science on biomarkers of the transition from acute to chronic pain, gaps in the literature, and how A2CPS will address these gaps.
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Affiliation(s)
- Kathleen A. Sluka
- Department of Physical Therapy and Rehabilitation Science, Carver College of Medicine, University of Iowa, Iowa City, IA
| | - Tor D. Wager
- Department of Psychological and Brain Sciences, Dartmouth College, Hanover, NH
| | - Stephani P. Sutherland
- Department of Biostatistics, Johns Hopkins Bloomberg Schools of Public Health, Baltimore, MD
| | - Patricia A. Labosky
- Office of Strategic Coordination, Division of Program Coordination, Planning and Strategic Initiatives, Office of the Director, National Institutes of Health, Bethesda, MD
| | - Tessa Balach
- Department of Orthopaedic Surgery and Rehabilitation Medicine, The University of Chicago, Chicago, IL
| | - Emine O. Bayman
- Clinical Trials and Data Management Center, Department of Biostatistics, University of Iowa, Iowa City, IA
| | - Giovanni Berardi
- Department of Physical Therapy and Rehabilitation Science, Carver College of Medicine, University of Iowa, Iowa City, IA
| | - Chad M. Brummett
- Department of Anesthesiology, University of Michigan Medical School, Ann Arbor, MI
| | - John Burns
- Division of Behavioral Sciences, Rush Medical College, Chicago, IL
| | | | - Brian Caffo
- Department of Biostatistics, Johns Hopkins Bloomberg Schools of Public Health, Baltimore, MD
| | - Vince D. Calhoun
- Tri-Institutional Center for Translational Research in Neuroimaging and Data Science (TReNDS), Georgia State, Georgia Tech, and Emory University, Atlanta, GA
| | - Daniel Clauw
- Department of Anesthesiology, University of Michigan Medical School, Ann Arbor, MI
| | - Andrew Chang
- Department of Surgery, University of Michigan Medical School, Ann Arbor, MI
| | - Christopher S. Coffey
- Clinical Trials and Data Management Center, Department of Biostatistics, University of Iowa, Iowa City, IA
| | - Dana L. Dailey
- Department of Physical Therapy and Rehabilitation Science, Carver College of Medicine, University of Iowa, Iowa City, IA
| | - Dixie Ecklund
- Clinical Trials and Data Management Center, Department of Biostatistics, University of Iowa, Iowa City, IA
| | - Oliver Fiehn
- University of California, Davis, Davis, CA, United States
| | - Kathleen M. Fisch
- Department of Obstetrics, Gynecology and Reproductive Sciences, University of California San Diego, San Diego, CA, United States
- Center for Computational Biology and Bioinformatics, University of California San Diego, San Diego, CA, United States
| | - Laura A. Frey Law
- Department of Physical Therapy and Rehabilitation Science, Carver College of Medicine, University of Iowa, Iowa City, IA
| | - Richard E. Harris
- Department of Anesthesiology, University of Michigan Medical School, Ann Arbor, MI
| | - Steven E. Harte
- Department of Anesthesiology, University of Michigan Medical School, Ann Arbor, MI
| | - Timothy D. Howard
- Department of Biochemistry, Center for Precision Medicine, Wake Forest School of Medicine, Winstom-Salem, NC
- Center for Precision Medicine, Wake Forest School of Medicine, Winstom-Salem, NC
| | - Joshua Jacobs
- Department of Orthopedic Surgery, Rush Medical College, CHicago, IL
| | - Jon M. Jacobs
- Environmental and Molecular Sciences Laboratory, Biological Sciences Division, Pacific Northwest National Laboratory, Richland, WA
| | | | | | - Carl D. Langefeld
- Center for Precision Medicine, Wake Forest School of Medicine, Winstom-Salem, NC
- Department of Biostatistics and Data Science, Center for Precision Medicine, Wake Forest School of Medicine, Winstom-Salem, NC
| | - Louise C. Laurent
- Department of Obstetrics, Gynecology and Reproductive Sciences, University of California San Diego, San Diego, CA, United States
| | - Rebecca Lenzi
- Office of Strategic Coordination, Division of Program Coordination, Planning and Strategic Initiatives, Office of the Director, National Institutes of Health, Bethesda, MD
| | - Martin A. Lindquist
- Department of Biostatistics, Johns Hopkins Bloomberg Schools of Public Health, Baltimore, MD
| | | | - Ari Kahn
- Texas Advanced Computing Center, University of Texas, AUstin, TX
| | | | - Michael Olivier
- Center for Precision Medicine, Wake Forest School of Medicine, Winstom-Salem, NC
- Department of Internal Medicine, Center for Precision Medicine, Wake Forest School of Medicine, Winstom-Salem, NC
| | - Linda Porter
- National Institute of Neurological Disorders and Stroke, Bethesda, MD
- Office of Pain Policy and Planning National Institutes of Health, Bethesda, MD
| | - Wei-Jun Qian
- Environmental and Molecular Sciences Laboratory, Biological Sciences Division, Pacific Northwest National Laboratory, Richland, WA
| | - Cheryse A. Sankar
- National Institute of Neurological Disorders and Stroke, Bethesda, MD
| | | | - Adam C. Swensen
- Environmental and Molecular Sciences Laboratory, Biological Sciences Division, Pacific Northwest National Laboratory, Richland, WA
| | - Carol G.T. Vance
- Department of Physical Therapy and Rehabilitation Science, Carver College of Medicine, University of Iowa, Iowa City, IA
| | - Jennifer Waljee
- Department of Surgery, University of Michigan Medical School, Ann Arbor, MI
| | - Laura D. Wandner
- National Institute of Neurological Disorders and Stroke, Bethesda, MD
| | - David A. Williams
- Department of Anesthesiology, University of Michigan Medical School, Ann Arbor, MI
| | | | - Xiaohong Joe Zhou
- Center for MR Research and Departments of Radiology, Neurosurgery, and Bioengineering, University of Illinois College of Medicine at Chicago, Chicago, IL, United States
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Owen KA, Bell KA, Price A, Bachali P, Ainsworth H, Marion MC, Howard TD, Langefeld CD, Shen N, Yazdany J, Dall'era M, Grammer AC, Lipsky PE. Molecular pathways identified from single nucleotide polymorphisms demonstrate mechanistic differences in systemic lupus erythematosus patients of Asian and European ancestry. Sci Rep 2023; 13:5339. [PMID: 37005464 PMCID: PMC10067935 DOI: 10.1038/s41598-023-32569-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/02/2022] [Accepted: 03/29/2023] [Indexed: 04/04/2023] Open
Abstract
Systemic lupus erythematosus (SLE) is a multi-organ autoimmune disorder with a prominent genetic component. Individuals of Asian-Ancestry (AsA) disproportionately experience more severe SLE compared to individuals of European-Ancestry (EA), including increased renal involvement and tissue damage. However, the mechanisms underlying elevated severity in the AsA population remain unclear. Here, we utilized available gene expression data and genotype data based on all non-HLA SNP associations in EA and AsA SLE patients detected using the Immunochip genotyping array. We identified 2778 ancestry-specific and 327 trans-ancestry SLE-risk polymorphisms. Genetic associations were examined using connectivity mapping and gene signatures based on predicted biological pathways and were used to interrogate gene expression datasets. SLE-associated pathways in AsA patients included elevated oxidative stress, altered metabolism and mitochondrial dysfunction, whereas SLE-associated pathways in EA patients included a robust interferon response (type I and II) related to enhanced cytosolic nucleic acid sensing and signaling. An independent dataset derived from summary genome-wide association data in an AsA cohort was interrogated and identified similar molecular pathways. Finally, gene expression data from AsA SLE patients corroborated the molecular pathways predicted by SNP associations. Identifying ancestry-related molecular pathways predicted by genetic SLE risk may help to disentangle the population differences in clinical severity that impact AsA and EA individuals with SLE.
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Affiliation(s)
- Katherine A Owen
- AMPEL BioSolutions LLC and the RILITE Research Institute, Charlottesville, VA, 22902, USA.
| | - Kristy A Bell
- AMPEL BioSolutions LLC and the RILITE Research Institute, Charlottesville, VA, 22902, USA
| | - Andrew Price
- AMPEL BioSolutions LLC and the RILITE Research Institute, Charlottesville, VA, 22902, USA
| | - Prathyusha Bachali
- AMPEL BioSolutions LLC and the RILITE Research Institute, Charlottesville, VA, 22902, USA
| | - Hannah Ainsworth
- Department of Biostatistics and Data Science, Center for Precision Medicine, Wake Forest School of Medicine, Winston-Salem, NC, 27109, USA
| | - Miranda C Marion
- Department of Biostatistics and Data Science, Center for Precision Medicine, Wake Forest School of Medicine, Winston-Salem, NC, 27109, USA
| | - Timothy D Howard
- Department of Biochemistry, Center for Precision Medicine, Wake Forest School of Medicine, Winston-Salem, NC, 27109, USA
| | - Carl D Langefeld
- Department of Biostatistics and Data Science, Center for Precision Medicine, Wake Forest School of Medicine, Winston-Salem, NC, 27109, USA
| | - Nan Shen
- Shanghai Institute of Rheumatology, Renji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Jinoos Yazdany
- University of California San Francisco, San Francisco, CA, 94117, USA
| | - Maria Dall'era
- University of California San Francisco, San Francisco, CA, 94117, USA
| | - Amrie C Grammer
- AMPEL BioSolutions LLC and the RILITE Research Institute, Charlottesville, VA, 22902, USA
| | - Peter E Lipsky
- AMPEL BioSolutions LLC and the RILITE Research Institute, Charlottesville, VA, 22902, USA
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Sandberg JC, Howard TD, Talton JW, Quandt SA, Mora DC, Jensen A, Arcury TA. Study of an Educational Telenovela to Teach Genomics among Latino Farmworkers and Nonfarmworkers: Lessons Learned. Prog Community Health Partnersh 2022; 16:573-581. [PMID: 36533506 DOI: 10.1353/cpr.2022.0078] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/23/2022]
Abstract
BACKGROUND Genomic knowledge is becoming increasingly relevant to health care. Development of linguistically and culturally appropriate educational resources for Latino adults with limited education and English skills is needed. OBJECTIVES The effectiveness of a telenovela was analyzed and lessons learned provided. METHODS The team developed a telenovela to convey key genomics concepts and delivered it to 100 Latino farmworkers and nonfarmworkers in North Carolina. Participants completed a pretest measuring genomic knowledge and self-efficacy, viewed the telenovela, then completed a post-test. Twenty-four participants repeated the post-test 6 months later. Changes in genomic knowledge and self-efficacy were calculated. RESULTS Overall, genomic knowledge and self-efficacy increased significantly after viewing the telenovela. Responses to two items indicated that the emphasis on epigenetics overshadowed other genomic mechanisms. Six-month follow-up results were not significantly different from the pretest. CONCLUSIONS Increased attention to graphic design principles, presentation across multiple sessions, and supplemental activities may increase telenovelas' impact.
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Clancy RM, Guthridge CJ, Marion MC, Guthridge J, Howard TD, Izmirly PM, Masson M, Buyon JP, James J, Langefeld CD. The modifying influence of HLA class II DQB1*06:02 on the Streptococcus and clinical phenotype correlation among anti-Ro+ mothers of children with neonatal lupus. Genes Dis 2022. [DOI: 10.1016/j.gendis.2022.11.006] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/15/2022] Open
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Negrey JD, Dobbins DL, Howard TD, Borgmann‐Winter KE, Hahn C, Kalinin S, Feinstein DL, Craft S, Shively CA, Register TC. Transcriptional profiles in olfactory pathway-associated brain regions of African green monkeys: Associations with age and Alzheimer's disease neuropathology. Alzheimers Dement (N Y) 2022; 8:e12358. [PMID: 36313967 PMCID: PMC9609452 DOI: 10.1002/trc2.12358] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 04/13/2022] [Revised: 08/13/2022] [Accepted: 08/22/2022] [Indexed: 11/05/2022]
Abstract
Introduction Olfactory impairment in older individuals is associated with an increased risk of Alzheimer's disease (AD). Characterization of age versus neuropathology‐associated changes in the brain olfactory pathway may elucidate processes underlying early AD pathogenesis. Here, we report age versus AD neuropathology–associated differential transcription in four brain regions in the olfactory pathway of 10 female African green monkeys (vervet, Chlorocebus aethiops sabaeus), a well‐described model of early AD‐like neuropathology. Methods Transcriptional profiles were determined by microarray in the olfactory bulb (OB), piriform cortex (PC), temporal lobe white matter (WM), and inferior temporal cortex (ITC). Amyloid beta (Aβ) plaque load in parietal and temporal cortex was determined by immunohistochemistry, and concentrations of Aβ42, Aβ40, and norepinephrine in ITC were determined by enzyme‐linked immuosorbent assay (ELISA). Transcriptional profiles were compared between middle‐aged and old animals, and associations with AD‐relevant neuropathological measures were determined. Results Transcriptional profiles varied by brain region and age group. Expression levels of TRO and RNU4‐1 were significantly lower in all four regions in the older group. An additional 29 genes were differentially expressed by age in three of four regions. Analyses of a combined expression data set of all four regions identified 77 differentially expressed genes (DEGs) by age group. Among these DEGs, older subjects had elevated levels of CTSB, EBAG9, LAMTOR3, and MRPL17, and lower levels of COMMD10 and TYW1B. A subset of these DEGs was associated with neuropathology biomarkers. Notably, CTSB was positively correlated with Aβ plaque counts, Aβ42:Aβ40 ratios, and norepinephrine levels in all brain regions. Discussion These data demonstrate age differences in gene expression in olfaction‐associated brain regions. Biological processes exhibiting age‐related enrichment included the regulation of cell death, vascular function, mitochondrial function, and proteostasis. A subset of DEGs was specifically associated with AD phenotypes. These may represent promising targets for future mechanistic investigations and perhaps therapeutic intervention.
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Affiliation(s)
- Jacob D. Negrey
- Department of Pathology/Comparative MedicineWake Forest School of MedicineWinston‐SalemNorth CarolinaUSA
| | - Dorothy L. Dobbins
- Department of Pathology/Comparative MedicineWake Forest School of MedicineWinston‐SalemNorth CarolinaUSA
| | - Timothy D. Howard
- Department of BiochemistryWake Forest School of MedicineWinston‐SalemNorth CarolinaUSA
| | | | - Chang‐Gyu Hahn
- Department of PsychiatryDepartment of NeuroscienceThomas Jefferson UniversityPhiladelphiaPAUSA
| | - Sergey Kalinin
- Department of AnesthesiologyUniversity of IllinoisChicagoIllinoisUSA
| | - Douglas L. Feinstein
- Department of AnesthesiologyUniversity of IllinoisChicagoIllinoisUSA,Research and DevelopmentJesse Brown VA Medical CenterChicagoIllinoisUSA
| | - Suzanne Craft
- Department of Internal Medicine/Gerontology and Geriatric MedicineWake Forest School of MedicineWinston‐SalemNorth CarolinaUSA,Wake Forest Alzheimer's Disease Research CenterWinston‐SalemNorth CarolinaUSA
| | - Carol A. Shively
- Department of Pathology/Comparative MedicineWake Forest School of MedicineWinston‐SalemNorth CarolinaUSA,Wake Forest Alzheimer's Disease Research CenterWinston‐SalemNorth CarolinaUSA
| | - Thomas C. Register
- Department of Pathology/Comparative MedicineWake Forest School of MedicineWinston‐SalemNorth CarolinaUSA,Wake Forest Alzheimer's Disease Research CenterWinston‐SalemNorth CarolinaUSA
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Sandberg JC, Trejo G, Howard TD, Moore D, Arcury TA, Quandt SA, Kortenaar P, Ip EH. Mental models about heredity among immigrant Latinx adults with limited education from Mexico and Central America. J Genet Couns 2022; 31:1090-1101. [PMID: 35468233 PMCID: PMC9790731 DOI: 10.1002/jgc4.1580] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/03/2021] [Revised: 03/31/2022] [Accepted: 04/10/2022] [Indexed: 12/30/2022]
Abstract
An understanding of genetics is becoming increasingly relevant to receiving medical care. It is important for health care providers and educators, including genetic counselors, to understand patients' perceptions about trait transmission and their interpretation of terms used in biomedicine. Knowledge about the patient perspective about trait transmission is important when health care providers are not fluent in the patient's language. Sixty Latinx immigrant adults (30 men and 30 women) who were born in Mexico or Central America (MCA) and living in North Carolina were interviewed about their heredity beliefs. By design, most participants had limited education. Eight percent had a least a high school education; 45% had less than a seventh grade education. Semi-structured, in-depth interviews were conducted to examine how participants think and discuss trait transmission. The translated transcripts were systematically analyzed using a case-based approach, supplemented by theme-based coding. Five lay mental models of heredity were identified that varied in terms of involvement of genes. Four of the five heredity mental models encompass genes; four out of five mental models do not link DNA to heredity. The centrality of blood, whether used metaphorically or literally, varies widely across the models. One model references God and depicts that heredity involves blood and/or genes, but not DNA. The mental models of heredity for most adult immigrants with limited education do not include DNA. Trait transmission by blood appears to have a more prominent role in lay mental models held by Mexicans than Central Americans. Increased patient knowledge about genetics can facilitate shared decision-making as genetics becomes increasingly relevant to medical care. Efforts to educate people can be most effective when we first understand the layperson's conceptions or mental models. Health care providers and educators should be aware that MCA adults with limited formal education hold diverse mental models about heredity.
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Affiliation(s)
- Joanne C. Sandberg
- Department of Family & Community MedicineWake Forest School of MedicineWinston‐SalemNorth CarolinaUSA
| | - Grisel Trejo
- Department of Family & Community MedicineWake Forest School of MedicineWinston‐SalemNorth CarolinaUSA
| | - Timothy D. Howard
- Department of BiochemistryWake Forest School of MedicineWinston‐SalemNorth CarolinaUSA
| | - DaKysha Moore
- Department of Visual, Performing & Communication ArtsJohnson C. Smith UniversityCharlotteNorth CarolinaUSA,Present address:
John R. and Kathy R. Hairston College of Health and Human SciencesCollege of Health and Human SciencesSpeech ProgramNorth Carolina Agricultural & Technical State UniversityGreensboroNorth CarolinaUSA
| | - Thomas A. Arcury
- Department of Family & Community MedicineWake Forest School of MedicineWinston‐SalemNorth CarolinaUSA
| | - Sara A. Quandt
- Division of Public Health SciencesDepartment of Epidemiology and PreventionWake Forest School of MedicineWinston‐SalemNorth CarolinaUSA
| | - Paul Kortenaar
- KaleideumWinston‐SalemNorth CarolinaUSA,Present address:
Ontario Science CentreTorontoOntarioCanada
| | - Edward H. Ip
- Division of Public Health SciencesDepartment Biostatistics and Data ScienceWake Forest School of MedicineWinston‐SalemNorth CarolinaUSA
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Clancy RM, Marion MC, Ainsworth HC, Chang M, Howard TD, Izmirly PM, Masson M, Buyon JP, Langefeld CD. Gut dysbiosis and the clinical spectrum in anti-Ro positive mothers of children with neonatal lupus. Gut Microbes 2022; 14:2081474. [PMID: 35704681 PMCID: PMC9225419 DOI: 10.1080/19490976.2022.2081474] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/04/2023] Open
Abstract
Anti-SSA/Ro antibodies, while strongly linked to fetal cardiac injury and neonatal rash, can associate with a spectrum of disease in the mother, ranging from completely asymptomatic to overt Systemic Lupus Erythematosus (SLE) or Sjögren's Syndrome (SS). This study was initiated to test the hypothesis that the microbiome, influenced in part by genetics, contributes to disease state. The stool microbiome of healthy controls (HC) was compared to that of anti-SSA/Ro positive women whose children had neonatal lupus. At the time of sampling, these women were either asymptomatic (Asym), had minor rheumatic symptoms or signs considered as an undifferentiated autoimmune syndrome (UAS), or were diagnosed with SLE or SS. Differences in microbial relative abundances among these three groups were tested assuming an ordering in clinical severity (HC<Asym/UAS<SS/SLE) and then again without the ordinal assumption. Those taxa that showed differential relative abundances were then tested for whether the effect size differed depending on the women's HLA SLE-risk allele genotype (DRB1*03:01, DRB1*15:01, DQB1*02:01 and DQB1*06:02) or anti-SSA/Ro autoantibody levels. Multiple genera within the families Ruminococcaceae and Lachnospiraceae showed evidence of an HLA-by-genus interaction (P < .05). Four genera exhibited evidence of an interaction with anti-Ro52 IgA: Lachnoclostridium, Romboutsia, Bacteroides and Actinomyces (P < .01). In addition to documenting differences in microbial relative abundances across clinical severity of disease, these data provide a first-time demonstration that microbial differences are correlated with HLA SLE-risk alleles. Taken together, these data suggest that the clinical spectrum from benign to overt clinical autoimmunity may partially result from or trigger a complex interplay among specific microbial profiles, anti-Ro autoantibodies, and genetics.
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Affiliation(s)
- Robert M. Clancy
- Department of Medicine, Division of Rheumatology, NYU Grossman School of Medicine, New York, NY, USA,CONTACT Robert M. Clancy Division of Rheumatology, NYU Grossman School of Medicine, New York, NY10016, USA
| | - Miranda C. Marion
- Department of Biostatistics and Data Science, Wake Forest School of Medicine, Winston-Salem, NC, USA,Center for Precision Medicine, Wake Forest School of Medicine, Winston-Salem, NC, USA
| | - Hannah C. Ainsworth
- Department of Biostatistics and Data Science, Wake Forest School of Medicine, Winston-Salem, NC, USA,Center for Precision Medicine, Wake Forest School of Medicine, Winston-Salem, NC, USA
| | - Miao Chang
- Department of Medicine, Division of Rheumatology, NYU Grossman School of Medicine, New York, NY, USA
| | - Timothy D. Howard
- Center for Precision Medicine, Wake Forest School of Medicine, Winston-Salem, NC, USA,Department of Biochemistry, Wake Forest School of Medicine, Winston-Salem, NC, USA
| | - Peter M. Izmirly
- Department of Medicine, Division of Rheumatology, NYU Grossman School of Medicine, New York, NY, USA
| | - Mala Masson
- Department of Medicine, Division of Rheumatology, NYU Grossman School of Medicine, New York, NY, USA
| | - Jill P. Buyon
- Department of Medicine, Division of Rheumatology, NYU Grossman School of Medicine, New York, NY, USA
| | - Carl D. Langefeld
- Department of Biostatistics and Data Science, Wake Forest School of Medicine, Winston-Salem, NC, USA,Center for Precision Medicine, Wake Forest School of Medicine, Winston-Salem, NC, USA
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Vara EL, Langefeld CD, Wolf BJ, Howard TD, Hawkins GA, Quet Q, Moultrie LH, Quinnette King L, Molano ID, Bray SL, Ueberroth LA, Lim SS, Williams EM, Kamen DL, Ramos PS. Social Factors, Epigenomics and Lupus in African American Women (SELA) Study: protocol for an observational mechanistic study examining the interplay of multiple individual and social factors on lupus outcomes in a health disparity population. Lupus Sci Med 2022; 9:9/1/e000698. [PMID: 35768168 PMCID: PMC9244713 DOI: 10.1136/lupus-2022-000698] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/15/2022] [Accepted: 06/14/2022] [Indexed: 11/08/2022]
Abstract
Introduction Despite the disproportional impact of SLE on historically marginalised communities, the individual and sociocultural factors underlying these health disparities remain elusive. We report the design and methods for a study aimed at identifying epigenetic biomarkers associated with racism and resiliency that affect gene function and thereby influence SLE in a health disparity population. Methods and analysis The Social Factors, Epigenomics and Lupus in African American Women (SELA) Study is a cross-sectional, case–control study. A total of 600 self-reported African American women will be invited to participate. All participants will respond to questionnaires that capture detailed sociodemographic and medical history, validated measures of racial discrimination, social support, as well as disease activity and damage for cases. Participants who wish will receive their genetic ancestry estimates and be involved in research. Blood samples are required to provide peripheral blood mononuclear cell counts, DNA and RNA. The primary goals of SELA are to identify variation in DNA methylation (DNAm) associated with self-reported exposure to racial discrimination and social support, to evaluate whether social DNAm sites affect gene expression, to identify the synergistic effects of social factors on DNAm changes on SLE and to develop a social factors-DNAm predictive model for disease outcomes. This study is conducted in cooperation with the Sea Island Families Project Citizen Advisory Committee. Discussion and dissemination SELA will respond to the pressing need to clarify the interplay and regulatory mechanism by which various positive and negative social exposures influence SLE. Results will be published and shared with patients and the community. Knowledge of the biological impact of social exposures on SLE, as informed by the results of this study, can be leveraged by advocacy efforts to develop psychosocial interventions that prevent or mitigate risk exposures, and services or interventions that promote positive exposures. Implementation of such interventions is paramount to the closure of the health disparities gap.
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Affiliation(s)
- Emily L Vara
- Department of Medicine, Medical University of South Carolina, Charleston, South Carolina, USA
| | - Carl D Langefeld
- Department of Biostatistics and Data Science, Wake Forest School of Medicine, Winston-Salem, North Carolina, USA.,Center for Precision Medicine, Wake Forest School of Medicine, Winston-Salem, North Carolina, USA
| | - Bethany J Wolf
- Department of Public Health Sciences, Medical University of South Carolina, Charleston, South Carolina, USA
| | - Timothy D Howard
- Center for Precision Medicine, Wake Forest School of Medicine, Winston-Salem, North Carolina, USA.,Department of Biochemistry, Wake Forest School of Medicine, Winston-Salem, North Carolina, USA
| | - Gregory A Hawkins
- Center for Precision Medicine, Wake Forest School of Medicine, Winston-Salem, North Carolina, USA.,Department of Biochemistry, Wake Forest School of Medicine, Winston-Salem, North Carolina, USA
| | - Queen Quet
- Gullah/Geechee Nation, St Helena Island, South Carolina, USA
| | - Lee H Moultrie
- Lee H Moultrie & Associates, North Charleston, South Carolina, USA
| | - L Quinnette King
- Department of Medicine, Medical University of South Carolina, Charleston, South Carolina, USA
| | - Ivan D Molano
- Department of Medicine, Medical University of South Carolina, Charleston, South Carolina, USA
| | - Stephanie L Bray
- Department of Medicine, Medical University of South Carolina, Charleston, South Carolina, USA
| | - Lori Ann Ueberroth
- Department of Medicine, Medical University of South Carolina, Charleston, South Carolina, USA
| | - S Sam Lim
- Department of Medicine, Emory University, Atlanta, Georgia, USA.,Department of Epidemiology, Emory University, Atlanta, Georgia, USA
| | - Edith M Williams
- Department of Medicine, Medical University of South Carolina, Charleston, South Carolina, USA.,Department of Public Health Sciences, Medical University of South Carolina, Charleston, South Carolina, USA
| | - Diane L Kamen
- Department of Medicine, Medical University of South Carolina, Charleston, South Carolina, USA
| | - Paula S Ramos
- Department of Medicine, Medical University of South Carolina, Charleston, South Carolina, USA .,Department of Public Health Sciences, Medical University of South Carolina, Charleston, South Carolina, USA
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10
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Berardi G, Frey-Law L, Sluka KA, Bayman EO, Coffey CS, Ecklund D, Vance CGT, Dailey DL, Burns J, Buvanendran A, McCarthy RJ, Jacobs J, Zhou XJ, Wixson R, Balach T, Brummett CM, Clauw D, Colquhoun D, Harte SE, Harris RE, Williams DA, Chang AC, Waljee J, Fisch KM, Jepsen K, Laurent LC, Olivier M, Langefeld CD, Howard TD, Fiehn O, Jacobs JM, Dakup P, Qian WJ, Swensen AC, Lokshin A, Lindquist M, Caffo BS, Crainiceanu C, Zeger S, Kahn A, Wager T, Taub M, Ford J, Sutherland SP, Wandner LD. Multi-Site Observational Study to Assess Biomarkers for Susceptibility or Resilience to Chronic Pain: The Acute to Chronic Pain Signatures (A2CPS) Study Protocol. Front Med (Lausanne) 2022; 9:849214. [PMID: 35547202 PMCID: PMC9082267 DOI: 10.3389/fmed.2022.849214] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/05/2022] [Accepted: 03/17/2022] [Indexed: 11/13/2022] Open
Abstract
Chronic pain has become a global health problem contributing to years lived with disability and reduced quality of life. Advances in the clinical management of chronic pain have been limited due to incomplete understanding of the multiple risk factors and molecular mechanisms that contribute to the development of chronic pain. The Acute to Chronic Pain Signatures (A2CPS) Program aims to characterize the predictive nature of biomarkers (brain imaging, high-throughput molecular screening techniques, or "omics," quantitative sensory testing, patient-reported outcome assessments and functional assessments) to identify individuals who will develop chronic pain following surgical intervention. The A2CPS is a multisite observational study investigating biomarkers and collective biosignatures (a combination of several individual biomarkers) that predict susceptibility or resilience to the development of chronic pain following knee arthroplasty and thoracic surgery. This manuscript provides an overview of data collection methods and procedures designed to standardize data collection across multiple clinical sites and institutions. Pain-related biomarkers are evaluated before surgery and up to 3 months after surgery for use as predictors of patient reported outcomes 6 months after surgery. The dataset from this prospective observational study will be available for researchers internal and external to the A2CPS Consortium to advance understanding of the transition from acute to chronic postsurgical pain.
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Affiliation(s)
- Giovanni Berardi
- Department of Physical Therapy and Rehabilitation Science, Carver College of Medicine, University of Iowa, Iowa City, IA, United States
| | - Laura Frey-Law
- Department of Physical Therapy and Rehabilitation Science, Carver College of Medicine, University of Iowa, Iowa City, IA, United States
| | - Kathleen A. Sluka
- Department of Physical Therapy and Rehabilitation Science, Carver College of Medicine, University of Iowa, Iowa City, IA, United States
| | - Emine O. Bayman
- Department of Biostatistics, College of Public Health, University of Iowa, Iowa City, IA, United States
| | - Christopher S. Coffey
- Department of Biostatistics, College of Public Health, University of Iowa, Iowa City, IA, United States
| | - Dixie Ecklund
- Department of Biostatistics, College of Public Health, University of Iowa, Iowa City, IA, United States
| | - Carol G. T. Vance
- Department of Physical Therapy and Rehabilitation Science, Carver College of Medicine, University of Iowa, Iowa City, IA, United States
| | - Dana L. Dailey
- Department of Physical Therapy, St. Ambrose University, Davenport, IA, United States
| | - John Burns
- Department of Psychiatry, Rush University Medical Center, Chicago, IL, United States
| | - Asokumar Buvanendran
- Department of Anesthesiology, Rush University Medical Center, Chicago, IL, United States
| | - Robert J. McCarthy
- Department of Anesthesiology, Rush University Medical Center, Chicago, IL, United States
| | - Joshua Jacobs
- Department of Orthopaedic Surgery, Rush University Medical Center, Chicago, IL, United States
| | - Xiaohong Joe Zhou
- Departments of Radiology, Neurosurgery, and Bioengineering, University of Illinois College of Medicine at Chicago, Chicago, IL, United States
| | - Richard Wixson
- NorthShore Orthopaedic and Spine Institute, NorthShore University HealthSystem, Skokie, IL, United States
| | - Tessa Balach
- Department of Orthopaedic Surgery and Rehabilitation Medicine, The University of Chicago, Chicago, IL, United States
| | - Chad M. Brummett
- Department of Anesthesiology, University of Michigan, Ann Arbor, MI, United States
| | - Daniel Clauw
- Department of Anesthesiology, University of Michigan, Ann Arbor, MI, United States
- Department of Medicine (Rheumatology), University of Michigan, Ann Arbor, MI, United States
- Department of Psychiatry, University of Michigan, Ann Arbor, MI, United States
| | - Douglas Colquhoun
- Department of Anesthesiology, University of Michigan, Ann Arbor, MI, United States
| | - Steven E. Harte
- Department of Anesthesiology, University of Michigan, Ann Arbor, MI, United States
- Department of Medicine (Rheumatology), University of Michigan, Ann Arbor, MI, United States
| | - Richard E. Harris
- Department of Anesthesiology, University of Michigan, Ann Arbor, MI, United States
- Department of Medicine (Rheumatology), University of Michigan, Ann Arbor, MI, United States
| | - David A. Williams
- Department of Anesthesiology, University of Michigan, Ann Arbor, MI, United States
- Department of Medicine (Rheumatology), University of Michigan, Ann Arbor, MI, United States
- Department of Psychiatry, University of Michigan, Ann Arbor, MI, United States
- Department of Psychology, University of Michigan, Ann Arbor, MI, United States
| | - Andrew C. Chang
- Section of Thoracic Surgery, University of Michigan, Ann Arbor, MI, United States
| | - Jennifer Waljee
- Section of Plastic and Reconstructive Surgery, University of Michigan, Ann Arbor, MI, United States
| | - Kathleen M. Fisch
- Department of Obstetrics, Gynecology and Reproductive Sciences, University of California, San Diego, La Jolla, CA, United States
| | - Kristen Jepsen
- Institute of Genomic Medicine Genomics Center, University of California, San Diego, La Jolla, CA, United States
| | - Louise C. Laurent
- Department of Obstetrics, Gynecology and Reproductive Sciences, University of California, San Diego, La Jolla, CA, United States
| | - Michael Olivier
- Department of Internal Medicine, Wake Forest School of Medicine, Winston-Salem, NC, United States
| | - Carl D. Langefeld
- Department of Biostatistics and Data Science, Wake Forest School of Medicine, Winston-Salem, NC, United States
| | - Timothy D. Howard
- Department of Biochemistry, Wake Forest School of Medicine, Winston-Salem, NC, United States
| | - Oliver Fiehn
- West Coast Metabolomics Center, University of California, Davis, Davis, CA, United States
| | - Jon M. Jacobs
- Environmental and Molecular Sciences Laboratory, Pacific Northwest National Laboratory, Richland, WA, United States
| | - Panshak Dakup
- Environmental and Molecular Sciences Laboratory, Pacific Northwest National Laboratory, Richland, WA, United States
| | - Wei-Jun Qian
- Environmental and Molecular Sciences Laboratory, Pacific Northwest National Laboratory, Richland, WA, United States
| | - Adam C. Swensen
- Environmental and Molecular Sciences Laboratory, Pacific Northwest National Laboratory, Richland, WA, United States
| | - Anna Lokshin
- Department of Pathology, University of Pittsburgh, Pittsburgh, PA, United States
| | - Martin Lindquist
- Department of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, United States
| | - Brian S. Caffo
- Department of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, United States
| | - Ciprian Crainiceanu
- Department of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, United States
| | - Scott Zeger
- Department of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, United States
| | - Ari Kahn
- Texas Advanced Computing Center, The University of Texas at Austin, Austin, TX, United States
| | - Tor Wager
- Presidential Cluster in Neuroscience, Department of Psychological and Brain Sciences, Dartmouth College, Hanover, NH, United States
| | - Margaret Taub
- Department of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, United States
| | - James Ford
- Geisel School of Medicine at Dartmouth, Hanover, NH, United States
| | - Stephani P. Sutherland
- Department of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, United States
| | - Laura D. Wandner
- National Institute of Neurological Disorders and Stroke, The National Institutes of Health, Bethesda, MD, United States
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11
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Hooper D, Howard TD, Williamson BJ, BEHYMER TP, Comeau ME, Zimmerman K, Khandwala V, Gilkerson LA, Kittner SJ, Roh DJ, James ML, Testai FD, Vahidy FS, Bagga RS, Thornton JB, Maloney T, Sawyer RPP, Shatz RS, Boyne P, Dunning K, Vagal A, Langefeld CDD, Woo D. Abstract TP10: Inflammatory And Neurodegenerative Gene Expression Changes Occur Long-term After ICH. Stroke 2022. [DOI: 10.1161/str.53.suppl_1.tp10] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Objective:
There is a high prevalence of progressive cognitive impairment in intracerebral hemorrhage (ICH) survivors. We sought to identify gene expression changes, in association with long-term neurodegeneration, among patients 12-24 months post-ICH.
Methods:
The
Recovery and Outcomes from StrokE (ROSE)
study prospectively recruits patients with spontaneous, supratentorial ICH, collecting baseline peripheral blood samples and MRI with diffusion tract imaging (DTI). The
Recovery of StrokE-Longitudinal Assessment with Neuroimaging (ROSE-LAWN)
study performs long term follow-up at 12-24 months on cases enrolled in ROSE. We report on the first five cases enrolled in the ROSE-LAWN study from December 2020 to March 2021. Controls were matched to an overall ICH population by age, sex, and race. RNA-sequencing, aligned to human genome assembly GRCh38, was tested for differential gene expression. Canonical pathway enrichment and network analyses were computed for differentially expressed genes using Ingenuity Pathway Analysis, STRING and MCODE.
Results:
RNA-seq analysis of 5 ICH cases [male, 80%; median age, 61 (45 - 73); black, 40%; ICH volume, 14.88cc ± 13.07] and 13 controls [male, 54%; median age, 74 (69 - 79); black, 15%] identified 554 differentially expressed genes (genomic control adjusted p < 0.01), of which 24 met the false discovery rate correction for multiple comparisons (FDR < 0.05). The most significant difference was observed in hypoxia up-regulated 1 (
HYOU1),
a heat shock protein related gene (p = 2.64E-11). Pathway analysis identified enrichment of dopamine and serotonin receptor signaling (p = 8.74E-03, 2.23E-02), cell cycle regulation (p = 1.75E-02) and agranulocyte adhesion pathways (p = 2.18E-02). Comparison of baseline and follow-up MRI DTI demonstrated extensive cortical tract degeneration, beyond the initial injury.
Conclusion:
These results provide novel evidence of significant gene expression changes occurring years after the initial ICH. Despite resolution of the ICH, persistent inflammation may correlate with progressive neurodegeneration and subsequent cognitive impairment in ICH survivors. Future studies with greater sample sizes are supported by this work.
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Affiliation(s)
- Destiny Hooper
- Neurology and Rehabilitation, Univ of Cincinnati, Cincinnati, OH
| | - Timothy D Howard
- Biostatistics and Data Science, Wake Forest Univ, Winston-Salem, NC
| | | | - Tyler P BEHYMER
- Neurology and Rehabilitation, Univ of Cincinnati, Cincinnati, OH
| | - Mary E Comeau
- Biostatistics and Data Science and Cntr for Precision Medicine, Wake Forest Univ, Winston-Salem, NC
| | - Kip Zimmerman
- Biostatistics and Data Science and Cntr for Precision Medicine, Wake Forest Univ, Winston-Salem, NC
| | - Vivek Khandwala
- Neurology and Rehabilitation, Univ of Cincinnati, Cincinnati, OH
| | - Lee A Gilkerson
- Neurology and Rehabilitation, Univ of Cincinnati, Cincinnati, OH
| | | | | | | | - Fernando D Testai
- Neurology and Rehabilitation Medicine, Univ of Illinois, Chicago, IL
| | - Farhaan S Vahidy
- Cntrs for Outcomes Rsch, Houston Methodist Rsch Institute, Houston, TX
| | | | | | | | | | - Rhonna S Shatz
- Neurology and Rehabilitation, Univ of Cincinnati, Cincinnati, OH
| | - Pierce Boyne
- Neurology and Rehabilitation, Univ of Cincinnati, Cincinnati, OH
| | - Kari Dunning
- Neurology and Rehabilitation, Univ of Cincinnati, Cincinnati, OH
| | | | - Carl D. D Langefeld
- Biostatistics and Data Science and Cntr for Precision Medicine, Wake Forest Univ, Winston-Salem, NC
| | - Daniel Woo
- Neurology and Rehabilitation, Univ of Cincinnati, Cincinnati, OH
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12
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Marion MC, Ramos PS, Bachali P, Labonte AC, Zimmerman KD, Ainsworth HC, Heuer SE, Robl RD, Catalina MD, Kelly JA, Howard TD, Lipsky PE, Grammer AC, Langefeld CD. Nucleic Acid-Sensing and Interferon-Inducible Pathways Show Differential Methylation in MZ Twins Discordant for Lupus and Overexpression in Independent Lupus Samples: Implications for Pathogenic Mechanism and Drug Targeting. Genes (Basel) 2021; 12:genes12121898. [PMID: 34946847 PMCID: PMC8701117 DOI: 10.3390/genes12121898] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/29/2021] [Revised: 11/22/2021] [Accepted: 11/25/2021] [Indexed: 12/27/2022] Open
Abstract
Systemic lupus erythematosus (SLE) is a chronic, multisystem, autoimmune inflammatory disease with genomic and non-genomic contributions to risk. We hypothesize that epigenetic factors are a significant contributor to SLE risk and may be informative for identifying pathogenic mechanisms and therapeutic targets. To test this hypothesis while controlling for genetic background, we performed an epigenome-wide analysis of DNA methylation in genomic DNA from whole blood in three pairs of female monozygotic (MZ) twins of European ancestry, discordant for SLE. Results were replicated on the same array in four cell types from a set of four Danish female MZ twin pairs discordant for SLE. Genes implicated by the epigenetic analyses were then evaluated in 10 independent SLE gene expression datasets from the Gene Expression Omnibus (GEO). There were 59 differentially methylated loci between unaffected and affected MZ twins in whole blood, including 11 novel loci. All but two of these loci were hypomethylated in the SLE twins relative to the unaffected twins. The genes harboring these hypomethylated loci exhibited increased expression in multiple independent datasets of SLE patients. This pattern was largely consistent regardless of disease activity, cell type, or renal tissue type. The genes proximal to CpGs exhibiting differential methylation (DM) in the SLE-discordant MZ twins and exhibiting differential expression (DE) in independent SLE GEO cohorts (DM-DE genes) clustered into two pathways: the nucleic acid-sensing pathway and the type I interferon pathway. The DM-DE genes were also informatically queried for potential gene–drug interactions, yielding a list of 41 drugs including a known SLE therapy. The DM-DE genes delineate two important biologic pathways that are not only reflective of the heterogeneity of SLE but may also correlate with distinct IFN responses that depend on the source, type, and location of nucleic acid molecules and the activated receptors in individual patients. Cell- and tissue-specific analyses will be critical to the understanding of genetic factors dysregulating the nucleic acid-sensing and IFN pathways and whether these factors could be appropriate targets for therapeutic intervention.
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Affiliation(s)
- Miranda C. Marion
- Department of Biostatistics and Data Science, Division of Public Health Sciences, Wake Forest School of Medicine, Winston-Salem, NC 27157, USA; (M.C.M.); (H.C.A.)
- Center for Precision Medicine, Wake Forest School of Medicine, Winston-Salem, NC 27157, USA;
| | - Paula S. Ramos
- Division of Rheumatology and Immunology, Department of Medicine, Medical University of South Carolina, Charleston, SC 29425, USA;
| | - Prathyusha Bachali
- AMPEL BioSolutions, LLC and RILITE Research Institute, Charlottesville, VA 22902, USA; (P.B.); (A.C.L.); (S.E.H.); (R.D.R.); (M.D.C.); (P.E.L.); (A.C.G.)
| | - Adam C. Labonte
- AMPEL BioSolutions, LLC and RILITE Research Institute, Charlottesville, VA 22902, USA; (P.B.); (A.C.L.); (S.E.H.); (R.D.R.); (M.D.C.); (P.E.L.); (A.C.G.)
| | - Kip D. Zimmerman
- Center for Precision Medicine, Wake Forest School of Medicine, Winston-Salem, NC 27157, USA;
| | - Hannah C. Ainsworth
- Department of Biostatistics and Data Science, Division of Public Health Sciences, Wake Forest School of Medicine, Winston-Salem, NC 27157, USA; (M.C.M.); (H.C.A.)
- Center for Precision Medicine, Wake Forest School of Medicine, Winston-Salem, NC 27157, USA;
| | - Sarah E. Heuer
- AMPEL BioSolutions, LLC and RILITE Research Institute, Charlottesville, VA 22902, USA; (P.B.); (A.C.L.); (S.E.H.); (R.D.R.); (M.D.C.); (P.E.L.); (A.C.G.)
- The Jackson Laboratory, Tufts Graduate School of Biomedical Sciences, Bar Harbor, ME 04609, USA
| | - Robert D. Robl
- AMPEL BioSolutions, LLC and RILITE Research Institute, Charlottesville, VA 22902, USA; (P.B.); (A.C.L.); (S.E.H.); (R.D.R.); (M.D.C.); (P.E.L.); (A.C.G.)
| | - Michelle D. Catalina
- AMPEL BioSolutions, LLC and RILITE Research Institute, Charlottesville, VA 22902, USA; (P.B.); (A.C.L.); (S.E.H.); (R.D.R.); (M.D.C.); (P.E.L.); (A.C.G.)
| | - Jennifer A. Kelly
- Arthritis and Clinical Immunology Research Program, Oklahoma Medical Research Foundation, Oklahoma City, OK 73104, USA;
| | - Timothy D. Howard
- Department of Biochemistry, Wake Forest School of Medicine, Winston-Salem, NC 27157, USA;
| | - Peter E. Lipsky
- AMPEL BioSolutions, LLC and RILITE Research Institute, Charlottesville, VA 22902, USA; (P.B.); (A.C.L.); (S.E.H.); (R.D.R.); (M.D.C.); (P.E.L.); (A.C.G.)
| | - Amrie C. Grammer
- AMPEL BioSolutions, LLC and RILITE Research Institute, Charlottesville, VA 22902, USA; (P.B.); (A.C.L.); (S.E.H.); (R.D.R.); (M.D.C.); (P.E.L.); (A.C.G.)
| | - Carl D. Langefeld
- Department of Biostatistics and Data Science, Division of Public Health Sciences, Wake Forest School of Medicine, Winston-Salem, NC 27157, USA; (M.C.M.); (H.C.A.)
- Center for Precision Medicine, Wake Forest School of Medicine, Winston-Salem, NC 27157, USA;
- Correspondence:
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13
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Chan J, Yao W, Howard TD, Hawkins GA, Olivier M, Jorgensen MJ, Cheeseman IH, Cole SA, Cox LA. Efficiency of whole-exome sequencing in old world and new world primates using human capture reagents. J Med Primatol 2021; 50:176-181. [PMID: 33876458 DOI: 10.1111/jmp.12524] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/18/2021] [Revised: 03/10/2021] [Accepted: 04/06/2021] [Indexed: 11/30/2022]
Abstract
BACKGROUND Whole-exome sequencing (WES) can expedite research on genetic variation in non-human primate (NHP) models of human diseases. However, NHP-specific reagents for exome capture are not available. This study reports the use of human-specific capture reagents in WES for olive baboons, marmosets, and vervet monkeys. METHODS Exome capture was carried out using the SureSelect Human All Exon V6 panel from Agilent Technologies, followed by high-throughput sequencing. Capture of protein-coding genes and detection of single nucleotide variants were evaluated. RESULTS Exome capture and sequencing results showed that more than 97% of old world and 93% of new world monkey protein coding genes were detected. Single nucleotide variants were detected across the genomes and missense variants were found in genes associated with human diseases. CONCLUSIONS A cost-effective approach based on commercial, human-specific reagents can be used to perform WES for the discovery of genetic variants in these NHP species.
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Affiliation(s)
- Jeannie Chan
- Department of Internal Medicine, Section on Molecular Medicine, Wake Forest School of Medicine, Winston-Salem, NC, USA
| | - Wen Yao
- College of Life Sciences, Henan Agricultural University, Zhengzhou, China
| | - Timothy D Howard
- Department of Biochemistry, Wake Forest School of Medicine, Winston-Salem, NC, USA
| | - Gregory A Hawkins
- Department of Biochemistry, Wake Forest School of Medicine, Winston-Salem, NC, USA
| | - Michael Olivier
- Department of Internal Medicine, Section on Molecular Medicine, Wake Forest School of Medicine, Winston-Salem, NC, USA
| | - Matthew J Jorgensen
- Department of Pathology, Section on Comparative Medicine, Wake Forest School of Medicine, Winston-Salem, NC, USA
| | | | - Shelley A Cole
- Texas Biomedical Research Institute, San Antonio, TX, USA
| | - Laura A Cox
- Department of Internal Medicine, Section on Molecular Medicine, Wake Forest School of Medicine, Winston-Salem, NC, USA
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Graff M, Justice AE, Young KL, Marouli E, Zhang X, Fine RS, Lim E, Buchanan V, Rand K, Feitosa MF, Wojczynski MK, Yanek LR, Shao Y, Rohde R, Adeyemo AA, Aldrich MC, Allison MA, Ambrosone CB, Ambs S, Amos C, Arnett DK, Atwood L, Bandera EV, Bartz T, Becker DM, Berndt SI, Bernstein L, Bielak LF, Blot WJ, Bottinger EP, Bowden DW, Bradfield JP, Brody JA, Broeckel U, Burke G, Cade BE, Cai Q, Caporaso N, Carlson C, Carpten J, Casey G, Chanock SJ, Chen G, Chen M, Chen YDI, Chen WM, Chesi A, Chiang CWK, Chu L, Coetzee GA, Conti DV, Cooper RS, Cushman M, Demerath E, Deming SL, Dimitrov L, Ding J, Diver WR, Duan Q, Evans MK, Falusi AG, Faul JD, Fornage M, Fox C, Freedman BI, Garcia M, Gillanders EM, Goodman P, Gottesman O, Grant SFA, Guo X, Hakonarson H, Haritunians T, Harris TB, Harris CC, Henderson BE, Hennis A, Hernandez DG, Hirschhorn JN, McNeill LH, Howard TD, Howard B, Hsing AW, Hsu YHH, Hu JJ, Huff CD, Huo D, Ingles SA, Irvin MR, John EM, Johnson KC, Jordan JM, Kabagambe EK, Kang SJ, Kardia SL, Keating BJ, Kittles RA, Klein EA, Kolb S, Kolonel LN, Kooperberg C, Kuller L, Kutlar A, Lange L, Langefeld CD, Le Marchand L, Leonard H, Lettre G, Levin AM, Li Y, Li J, Liu Y, Liu Y, Liu S, Lohman K, Lotay V, Lu Y, Maixner W, Manson JE, McKnight B, Meng Y, Monda KL, Monroe K, Moore JH, Mosley TH, Mudgal P, Murphy AB, Nadukuru R, Nalls MA, Nathanson KL, Nayak U, N'Diaye A, Nemesure B, Neslund-Dudas C, Neuhouser ML, Nyante S, Ochs-Balcom H, Ogundiran TO, Ogunniyi A, Ojengbede O, Okut H, Olopade OI, Olshan A, Padhukasahasram B, Palmer J, Palmer CD, Palmer ND, Papanicolaou G, Patel SR, Pettaway CA, Peyser PA, Press MF, Rao DC, Rasmussen-Torvik LJ, Redline S, Reiner AP, Rhie SK, Rodriguez-Gil JL, Rotimi CN, Rotter JI, Ruiz-Narvaez EA, Rybicki BA, Salako B, Sale MM, Sanderson M, Schadt E, Schreiner PJ, Schurmann C, Schwartz AG, Shriner DA, Signorello LB, Singleton AB, Siscovick DS, Smith JA, Smith S, Speliotes E, Spitz M, Stanford JL, Stevens VL, Stram A, Strom SS, Sucheston L, Sun YV, Tajuddin SM, Taylor H, Taylor K, Tayo BO, Thun MJ, Tucker MA, Vaidya D, Van Den Berg DJ, Vedantam S, Vitolins M, Wang Z, Ware EB, Wassertheil-Smoller S, Weir DR, Wiencke JK, Williams SM, Williams LK, Wilson JG, Witte JS, Wrensch M, Wu X, Yao J, Zakai N, Zanetti K, Zemel BS, Zhao W, Zhao JH, Zheng W, Zhi D, Zhou J, Zhu X, Ziegler RG, Zmuda J, Zonderman AB, Psaty BM, Borecki IB, Cupples LA, Liu CT, Haiman CA, Loos R, Ng MCY, North KE. Discovery and fine-mapping of height loci via high-density imputation of GWASs in individuals of African ancestry. Am J Hum Genet 2021; 108:564-582. [PMID: 33713608 PMCID: PMC8059339 DOI: 10.1016/j.ajhg.2021.02.011] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/05/2020] [Accepted: 02/09/2021] [Indexed: 01/21/2023] Open
Abstract
Although many loci have been associated with height in European ancestry populations, very few have been identified in African ancestry individuals. Furthermore, many of the known loci have yet to be generalized to and fine-mapped within a large-scale African ancestry sample. We performed sex-combined and sex-stratified meta-analyses in up to 52,764 individuals with height and genome-wide genotyping data from the African Ancestry Anthropometry Genetics Consortium (AAAGC). We additionally combined our African ancestry meta-analysis results with published European genome-wide association study (GWAS) data. In the African ancestry analyses, we identified three novel loci (SLC4A3, NCOA2, ECD/FAM149B1) in sex-combined results and two loci (CRB1, KLF6) in women only. In the African plus European sex-combined GWAS, we identified an additional three novel loci (RCCD1, G6PC3, CEP95) which were equally driven by AAAGC and European results. Among 39 genome-wide significant signals at known loci, conditioning index SNPs from European studies identified 20 secondary signals. Two of the 20 new secondary signals and none of the 8 novel loci had minor allele frequencies (MAF) < 5%. Of 802 known European height signals, 643 displayed directionally consistent associations with height, of which 205 were nominally significant (p < 0.05) in the African ancestry sex-combined sample. Furthermore, 148 of 241 loci contained ≤20 variants in the credible sets that jointly account for 99% of the posterior probability of driving the associations. In summary, trans-ethnic meta-analyses revealed novel signals and further improved fine-mapping of putative causal variants in loci shared between African and European ancestry populations.
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Affiliation(s)
- Mariaelisa Graff
- Department of Epidemiology, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA.
| | - Anne E Justice
- Department of Epidemiology, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA; Population Health Services, Geisinger Health, Danville, PA 17822, USA
| | - Kristin L Young
- Department of Epidemiology, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
| | - Eirini Marouli
- William Harvey Research Institute, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, London EC1M 6BQ, UK; Centre for Genomic Health, Life Sciences, Queen Mary University of London, London EC1M 6BQ, UK
| | - Xinruo Zhang
- Department of Epidemiology, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
| | | | - Elise Lim
- Department of Biostatistics, Boston University School of Public Health, Boston, MA 02118, USA
| | - Victoria Buchanan
- Department of Epidemiology, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
| | - Kristin Rand
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA 90033, USA
| | - Mary F Feitosa
- Division of Statistical Genomics, Department of Genetics, Washington University School of Medicine, St. Louis, MO 63108, USA
| | - Mary K Wojczynski
- Division of Statistical Genomics, Department of Genetics, Washington University School of Medicine, St. Louis, MO 63108, USA
| | - Lisa R Yanek
- Division of General Internal Medicine, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA
| | - Yaming Shao
- Department of Epidemiology, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
| | - Rebecca Rohde
- Department of Epidemiology, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
| | - Adebowale A Adeyemo
- Center for Research on Genomics and Global Health, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD 20892, USA
| | - Melinda C Aldrich
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt University School of Medicine, Nashville, TN 37232, USA; Vanderbilt-Ingram Cancer Center, Vanderbilt University School of Medicine, Nashville, TN 37232, USA; Department of Thoracic Surgery, Vanderbilt University School of Medicine, Nashville, TN 37232, USA
| | - Matthew A Allison
- Department of Family Medicine and Public Health, University of California San Diego, La Jolla, CA 92093, USA
| | - Christine B Ambrosone
- Department of Cancer Prevention and Control, Roswell Park Comprehensive Cancer Center, Buffalo, NY 14263, USA
| | - Stefan Ambs
- Laboratory of Human Carcinogenesis, Center for Cancer Research, National Cancer Institute, Bethesda, MD 20892, USA
| | - Christopher Amos
- Department of Epidemiology, Division of Cancer Prevention and Population Sciences, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Donna K Arnett
- School of Public Health, University of Kentucky, Lexington, KY 40563, USA
| | - Larry Atwood
- Framingham Heart Study, Boston University School of Medicine, Boston, MA 02118, USA
| | - Elisa V Bandera
- Department of Population Science, Rutgers Cancer Institute of New Jersey, New Brunswick, NJ 08903, USA
| | - Traci Bartz
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, WA 98101, USA; Department of Biostatistics, University of Washington, Seattle, WA 98195, USA
| | - Diane M Becker
- Division of General Internal Medicine, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA
| | - Sonja I Berndt
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD 20892, USA
| | - Leslie Bernstein
- Division of Biomarkers of Early Detection and Prevention, Department of Population Sciences, Beckman Research Institute of the City of Hope, Duarte, CA 91010, USA
| | - Lawrence F Bielak
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI 48109, USA
| | - William J Blot
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt University School of Medicine, Nashville, TN 37232, USA; Vanderbilt-Ingram Cancer Center, Vanderbilt University School of Medicine, Nashville, TN 37232, USA; International Epidemiology Institute, Rockville, MD 20850, USA
| | - Erwin P Bottinger
- The Charles R. Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Donald W Bowden
- Center for Genomics and Personalized Medicine Research, Wake Forest School of Medicine, Winston-Salem, NC 27157, USA; Department of Internal Medicine, Wake Forest School of Medicine, Winston-Salem, NC 27157, USA; Center for Diabetes Research, Wake Forest school of Medicine, Winston-Salem, NC 27157, USA
| | - Jonathan P Bradfield
- Center for Applied Genomics, The Children's Hospital of Philadelphia, Philadelphia, PA 19104, USA
| | - Jennifer A Brody
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, WA 98101, USA
| | - Ulrich Broeckel
- Department of Pediatrics, Section of Genomic Pediatrics, Medical College of Wisconsin, Milwaukee, WI 53226, USA
| | - Gregory Burke
- Division of Public Health Sciences, Wake Forest University School of Medicine, Winston-Salem, NC 27157, USA
| | - Brian E Cade
- Division of Sleep and Circadian Disorders, Brigham and Women's Hospital, Boston, MA 02115, USA; Harvard Medical School, Boston, MA 02115, USA
| | - Qiuyin Cai
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt University School of Medicine, Nashville, TN 37232, USA; Vanderbilt-Ingram Cancer Center, Vanderbilt University School of Medicine, Nashville, TN 37232, USA
| | - Neil Caporaso
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD 20892, USA
| | - Chris Carlson
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA 98109, USA
| | - John Carpten
- Department of Translational Genomics, Keck School of Medicine, University of Southern California, Los Angeles, CA 90033, USA
| | - Graham Casey
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA 90033, USA; Norris Comprehensive Cancer Center, University of Southern California, Los Angeles, CA 90033, USA
| | - Stephen J Chanock
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD 20892, USA
| | - Guanjie Chen
- Center for Research on Genomics and Global Health, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD 20892, USA
| | - Minhui Chen
- Center for Genetic Epidemiology, Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA 90033, USA
| | - Yii-Der I Chen
- Institute for Translational Genomics and Population Sciences, Los Angeles Biomedical Research Institute at Harbor-UCLA Medical Center, Torrance, CA 90502, USA
| | - Wei-Min Chen
- Department of Public Health Sciences and Center for Public Health Genomics, University of Virginia School of Medicine, Charlottesville, VA 22908, USA
| | - Alessandra Chesi
- Division of Human Genetics, The Children's Hospital of Philadelphia, Philadelphia, PA 19104, USA
| | - Charleston W K Chiang
- Center for Genetic Epidemiology, Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA 90033, USA
| | - Lisa Chu
- Cancer Prevention Institute of California, Fremont, CA 94538, USA
| | - Gerry A Coetzee
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA 90033, USA; Norris Comprehensive Cancer Center, University of Southern California, Los Angeles, CA 90033, USA; Department of Urology, Keck School of Medicine, University of Southern California, Los Angeles, LA 90033, USA
| | - David V Conti
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA 90033, USA
| | - Richard S Cooper
- Department of Public Health Sciences, Stritch School of Medicine, Loyola University Chicago Stritch School of Medicine, Maywood, IL 60153, USA
| | - Mary Cushman
- Department of Medicine, University of Vermont College of Medicine, Burlington, VT 05405, USA
| | - Ellen Demerath
- Division of Epidemiology and Community Health, University of Minnesota School of Public Health, Minneapolis, MN 55455, USA
| | - Sandra L Deming
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt University School of Medicine, Nashville, TN 37232, USA; Vanderbilt-Ingram Cancer Center, Vanderbilt University School of Medicine, Nashville, TN 37232, USA
| | - Latchezar Dimitrov
- Center for Genomics and Personalized Medicine Research, Wake Forest School of Medicine, Winston-Salem, NC 27157, USA
| | - Jingzhong Ding
- Section on Gerontology and Geriatric Medicine, Department of Internal Medicine, Wake Forest School of Medicine, Winston-Salem, NC 27157, USA
| | - W Ryan Diver
- Epidemiology Research Program, American Cancer Society, Atlanta, GA 30303, USA
| | - Qing Duan
- Department of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
| | - Michele K Evans
- Health Disparities Research Section, Clinical Research Branch, National Institute on Aging, National Institutes of Health, Baltimore, MD 21224, USA
| | - Adeyinka G Falusi
- Institute for Medical Research and Training, University of Ibadan, Ibadan, Nigeria
| | - Jessica D Faul
- Survey Research Center, Institute for Social Research, University of Michigan, Ann Arbor, MI 48104, USA
| | - Myriam Fornage
- Center for Human Genetics, University of Texas Health Science Center at Houston, Houston, TX 77030, USA
| | - Caroline Fox
- Population Sciences Branch, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD 20892, USA; Framingham Heart Study, Framingham, MA 01702, USA; Division of Endocrinology and Metabolism, Brigham and Women's Hospital, Harvard Medical School, Boston, MA 02115, USA
| | - Barry I Freedman
- Department of Internal Medicine, Section on Nephrology, Wake Forest School of Medicine, Winston-Salem, NC 27157, USA
| | - Melissa Garcia
- National Institute on Aging, National Institutes of Health, Baltimore, MD 21224, USA
| | - Elizabeth M Gillanders
- Division of Cancer Control and Population Sciences, National Cancer Institute, Bethesda, MD 20892, USA
| | - Phyllis Goodman
- SWOG Statistical Center, Fred Hutchinson Cancer Research Center, Seattle, WA 98109, USA
| | - Omri Gottesman
- The Charles R. Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Struan F A Grant
- Center for Applied Genomics, The Children's Hospital of Philadelphia, Philadelphia, PA 19104, USA; Center for Spatial and Functional Genomics, The Children's Hospital of Philadelphia Research Institute, The Children's Hospital of Philadelphia, Philadelphia, PA 19104, USA; Department of Pediatrics, University of Pennsylvania School of Medicine, Philadelphia, PA 19104, USA
| | - Xiuqing Guo
- Institute for Translational Genomics and Population Sciences, Los Angeles Biomedical Research Institute at Harbor-UCLA Medical Center, Torrance, CA 90502, USA
| | - Hakon Hakonarson
- Center for Applied Genomics, The Children's Hospital of Philadelphia, Philadelphia, PA 19104, USA; Division of Human Genetics, The Children's Hospital of Philadelphia, Philadelphia, PA 19104, USA; Department of Pediatrics, University of Pennsylvania School of Medicine, Philadelphia, PA 19104, USA
| | - Talin Haritunians
- Medical Genetics Institute, Cedars Sinai Medical Center, Los Angeles, CA 90048, USA
| | - Tamara B Harris
- Laboratory of Epidemiology and Population Sciences, National Institute on Aging, National Institutes of Health, Bethesda, MD 20892, USA
| | - Curtis C Harris
- Laboratory of Human Carcinogenesis, Center for Cancer Research, National Cancer Institute, Bethesda, MD 20892, USA
| | - Brian E Henderson
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA 90033, USA; Norris Comprehensive Cancer Center, University of Southern California, Los Angeles, CA 90033, USA
| | - Anselm Hennis
- Department of Preventive Medicine, Stony Brook University, Stony Brook, NY 11794, USA; Chronic Disease Research Centre and Faculty of Medical Sciences, University of West Indies, Bridgetown, Barbados; Ministry of Health, Bridgetown, Barbados
| | - Dena G Hernandez
- Laboratory of Neurogenetics, National Institute on Aging, National Institutes of Health, Bethesda, MD 20814, USA
| | - Joel N Hirschhorn
- Program in Medical and Population Genetics, Broad Institute of Harvard and MIT, Cambridge, MA 02142, USA; Division of Endocrinology and Center for Basic and Translational Obesity Research, Boston Children's Hospital, Boston, MA 02115, USA; Department of Genetics, Harvard Medical School, Boston, MA 02115, USA
| | - Lorna Haughton McNeill
- Department of Health Disparities Research, Division of OVP, Cancer Prevention and Population Sciences, and Center for Community Implementation and Dissemination Research, Duncan Family Institute, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Timothy D Howard
- Center for Genomics and Personalized Medicine Research, Wake Forest School of Medicine, Winston-Salem, NC 27157, USA
| | | | - Ann W Hsing
- Cancer Prevention Institute of California, Fremont, CA 94538, USA; Department of Medicine, Stanford Prevention Research Center and Cancer Institute, Stanford, CA 94305, USA
| | - Yu-Han H Hsu
- Program in Medical and Population Genetics, Broad Institute of Harvard and MIT, Cambridge, MA 02142, USA; Division of Endocrinology and Center for Basic and Translational Obesity Research, Boston Children's Hospital, Boston, MA 02115, USA; Department of Genetics, Harvard Medical School, Boston, MA 02115, USA
| | - Jennifer J Hu
- Sylvester Comprehensive Cancer Center, University of Miami Miller School of Medicine, Miami, FL 33136, USA; Department of Public Health Sciences, University of Miami Miller School of Medicine, Miami, FL 33136, USA
| | - Chad D Huff
- Department of Epidemiology, Division of Cancer Prevention and Population Sciences, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Dezheng Huo
- Department of Public Health Sciences, University of Chicago, Chicago, IL 60637, USA
| | - Sue A Ingles
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA 90033, USA; Norris Comprehensive Cancer Center, University of Southern California, Los Angeles, CA 90033, USA
| | - Marguerite R Irvin
- Department of Epidemiology, School of Public Health, University of Alabama at Birmingham, Birmingham, AL 35294, USA
| | - Esther M John
- Department of Epidemiology and Population Health, Stanford University School of Medicine, Stanford, CA 94304, USA
| | - Karen C Johnson
- Department of Preventive Medicine, University of Tennessee Health Science Center, Memphis, TN 38163, USA
| | - Joanne M Jordan
- Thurston Arthritis Research Center, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
| | - Edmond K Kabagambe
- Department of Epidemiology, School of Public Health, University of Alabama at Birmingham, Birmingham, AL 35294, USA
| | - Sun J Kang
- Genetic Epidemiology Branch, National Institute of Mental Health, National Institutes of Health, Bethesda, MD 20892, USA
| | - Sharon L Kardia
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI 48109, USA
| | - Brendan J Keating
- Institute for Translational Medicine and Therapeutics, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Rick A Kittles
- Division of Health Equities, Department of Population Sciences, City of Hope Medical Center, Duarte, CA 91010, USA
| | - Eric A Klein
- Department of Urology, Glickman Urological and Kidney Institute, Cleveland Clinic, Cleveland, OH 44195, USA
| | - Suzanne Kolb
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA 98109, USA
| | - Laurence N Kolonel
- Epidemiology Program, Cancer Research Center, University of Hawaii Cancer Center, Honolulu, HI 96813, USA
| | - Charles Kooperberg
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA 98109, USA
| | - Lewis Kuller
- Department of Epidemiology, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, PA 15261, USA
| | - Abdullah Kutlar
- Sickle Cell Center, Medical College of Georgia, Augusta University, Augusta, GA 30912, USA
| | - Leslie Lange
- Division of Biomedical Informatics and Personalized Medicine, Department of Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO 80045, USA
| | - Carl D Langefeld
- Department of Biostatistics and Data Science, Wake Forest School of Medicine, Winston-Salem, NC 27157, USA
| | - Loic Le Marchand
- Epidemiology Program, Cancer Research Center, University of Hawaii Cancer Center, Honolulu, HI 96813, USA
| | - Hampton Leonard
- Laboratory of Neurogenetics, National Institute on Aging, National Institutes of Health, Bethesda, MD 20814, USA; Data Tecnica Int'l, LLC, Glen Echo, MD 20812, USA
| | - Guillaume Lettre
- Montreal Heart Institute, Montréal, QC H1T 1C8, Canada; Department of Medicine, Université de Montréal, Montréal, QC H1T 1C8, Canada
| | - Albert M Levin
- Department of Public Health Sciences, Henry Ford Health System, Detroit, MI 48202, USA
| | - Yun Li
- Department of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA; Department of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA; Department of Computer Science, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
| | - Jin Li
- Division of Cardiovascular Medicine, Department of Medicine, Stanford University School of Medicine, Palo Alto, CA 94304, USA
| | - Yongmei Liu
- Department of Medicine, Division of Cardiology, Duke Molecular Physiology Institute, Duke University Medical Center, Durham, NC 27701, USA
| | - Youfang Liu
- Thurston Arthritis Research Center, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
| | - Simin Liu
- Department of Epidemiology, Brown University, Providence, RI 02912, USA
| | - Kurt Lohman
- Department of Biostatistics and Data Science, Wake Forest School of Medicine, Winston-Salem, NC 27157, USA
| | - Vaneet Lotay
- The Charles R. Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Yingchang Lu
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt University School of Medicine, Nashville, TN 37232, USA; The Charles R. Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - William Maixner
- Center for Translational Pain Medicine, Department of Anesthesiology, Duke University Medical Center, Durham, NC 27710, USA
| | - JoAnn E Manson
- Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA 02115, USA
| | - Barbara McKnight
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, WA 98101, USA; Department of Biostatistics, University of Washington, Seattle, WA 98195, USA
| | - Yan Meng
- Program in Medical and Population Genetics, Broad Institute of Harvard and MIT, Cambridge, MA 02142, USA
| | - Keri L Monda
- Department of Epidemiology, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA; The Center for Observational Research, Amgen, Inc., Thousand Oaks, CA 91320, USA
| | - Kris Monroe
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA 90033, USA
| | - Jason H Moore
- Institute for Biomedical Informatics, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Thomas H Mosley
- Department of Medicine, University of Mississippi Medical Center, Jackson, MS 39216, USA
| | - Poorva Mudgal
- Center for Diabetes Research, Wake Forest school of Medicine, Winston-Salem, NC 27157, USA
| | - Adam B Murphy
- Department of Urology, Northwestern University, Chicago, IL 60611, USA
| | - Rajiv Nadukuru
- The Charles R. Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Mike A Nalls
- Laboratory of Neurogenetics, National Institute on Aging, National Institutes of Health, Bethesda, MD 20814, USA; Data Tecnica Int'l, LLC, Glen Echo, MD 20812, USA
| | | | - Uma Nayak
- Department of Public Health Sciences and Center for Public Health Genomics, University of Virginia School of Medicine, Charlottesville, VA 22908, USA
| | | | - Barbara Nemesure
- Department of Preventive Medicine, Stony Brook University, Stony Brook, NY 11794, USA
| | | | - Marian L Neuhouser
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA 98109, USA
| | - Sarah Nyante
- Department of Epidemiology, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA; Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, NC 27514, USA
| | - Heather Ochs-Balcom
- Department of Epidemiology and Environmental Health, School of Public Health and Health Professions, University at Buffalo, The State University of New York, Buffalo, NY 14214, USA
| | - Temidayo O Ogundiran
- Department of Surgery, College of Medicine, University of Ibadan, Ibadan, Nigeria
| | - Adesola Ogunniyi
- Department of Medicine, College of Medicine, University of Ibadan, Ibadan, Nigeria
| | - Oladosu Ojengbede
- Centre for Population and Reproductive Health, College of Medicine, University of Ibadan, Ibadan, Nigeria
| | - Hayrettin Okut
- Center for Diabetes Research, Wake Forest school of Medicine, Winston-Salem, NC 27157, USA
| | - Olufunmilayo I Olopade
- Center for Clinical Cancer Genetics and Global Health, University of Chicago Medical Center, Chicago, IL 60637, USA
| | - Andrew Olshan
- Department of Epidemiology, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA; Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, NC 27514, USA
| | - Badri Padhukasahasram
- Center for Health Policy and Health Services Research, Henry Ford Health System, Detroit, MI 48202, USA
| | - Julie Palmer
- Slone Epidemiology Center, Boston University School of Medicine, Boston, MA 02118, USA
| | - Cameron D Palmer
- Program in Medical and Population Genetics, Broad Institute of Harvard and MIT, Cambridge, MA 02142, USA; Division of Endocrinology and Center for Basic and Translational Obesity Research, Boston Children's Hospital, Boston, MA 02115, USA
| | - Nicholette D Palmer
- Department of Biochemistry, School of Medicine, Wake Forest University, Winston-Salem, NC 27157, USA
| | - George Papanicolaou
- Division of Cardiovascular Sciences, National Heart, Lung and Blood Institute, National Institutes of Health, Bethesda, MD 20892, USA
| | - Sanjay R Patel
- Department of Medicine, University of Pittsburgh, Pittsburgh, PA 15260, USA
| | - Curtis A Pettaway
- Department of Urology, The University of Texas M.D. Anderson Cancer Center, Houston, TX 77030, USA
| | - Patricia A Peyser
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI 48109, USA
| | - Michael F Press
- Norris Comprehensive Cancer Center, University of Southern California, Los Angeles, CA 90033, USA
| | - D C Rao
- Division of Biostatistics, Washington University School of Medicine, St. Louis, MO 63110, USA
| | - Laura J Rasmussen-Torvik
- Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL 60611, USA
| | - Susan Redline
- Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA 02115, USA
| | - Alex P Reiner
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA 98109, USA
| | - Suhn K Rhie
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA 90033, USA; Norris Comprehensive Cancer Center, University of Southern California, Los Angeles, CA 90033, USA
| | - Jorge L Rodriguez-Gil
- Sylvester Comprehensive Cancer Center, University of Miami Miller School of Medicine, Miami, FL 33136, USA; Department of Public Health Sciences, University of Miami Miller School of Medicine, Miami, FL 33136, USA
| | - Charles N Rotimi
- Center for Research on Genomics and Global Health, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD 20892, USA
| | - Jerome I Rotter
- Institute for Translational Genomics and Population Sciences, Los Angeles Biomedical Research Institute at Harbor-UCLA Medical Center, Torrance, CA 90502, USA
| | - Edward A Ruiz-Narvaez
- Department of Nutritional Sciences, University of Michigan School of Public Health, Ann Arbor, MI 48109, USA
| | - Benjamin A Rybicki
- Department of Public Health Sciences, Henry Ford Health System, Detroit, MI 48202, USA
| | - Babatunde Salako
- Centre for Population and Reproductive Health, College of Medicine, University of Ibadan, Ibadan, Nigeria
| | - Michele M Sale
- Department of Public Health Sciences and Center for Public Health Genomics, University of Virginia School of Medicine, Charlottesville, VA 22908, USA
| | - Maureen Sanderson
- Department of Family and Community Medicine, Meharry Medical College, Nashville, TN 37208, USA
| | - Eric Schadt
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Pamela J Schreiner
- Division of Epidemiology and Community Health, University of Minnesota School of Public Health, Minneapolis, MN 55455, USA
| | - Claudia Schurmann
- The Charles R. Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Ann G Schwartz
- Department of Oncology, Wayne State University School of Medicine, Detroit, MI 48201, USA; Karmanos Cancer Institute, Detroit, MI 48201, USA
| | - Daniel A Shriner
- Center for Research on Genomics and Global Health, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD 20892, USA
| | - Lisa B Signorello
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt University School of Medicine, Nashville, TN 37232, USA; Vanderbilt-Ingram Cancer Center, Vanderbilt University School of Medicine, Nashville, TN 37232, USA; International Epidemiology Institute, Rockville, MD 20850, USA
| | - Andrew B Singleton
- Laboratory of Neurogenetics, National Institute on Aging, National Institutes of Health, Bethesda, MD 20814, USA
| | | | - Jennifer A Smith
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI 48109, USA; Survey Research Center, Institute for Social Research, University of Michigan, Ann Arbor, MI 48104, USA
| | - Shad Smith
- Center for Translational Pain Medicine, Department of Anesthesiology, Duke University Medical Center, Durham, NC 27710, USA
| | - Elizabeth Speliotes
- Division of Gastroenterology and Hepatology, University of Michigan Health System, Ann Arbor, MI 48109, USA; Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI 48109, USA
| | - Margaret Spitz
- Department of Epidemiology, Division of Cancer Prevention and Population Sciences, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Janet L Stanford
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA 98109, USA; Department of Epidemiology, University of Washington School of Public Health, Seattle, WA 98195, USA
| | - Victoria L Stevens
- Epidemiology Research Program, American Cancer Society, Atlanta, GA 30303, USA
| | - Alex Stram
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA 90033, USA
| | - Sara S Strom
- Department of Epidemiology, Division of Cancer Prevention and Population Sciences, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Lara Sucheston
- Department of Cancer Prevention and Control, Roswell Park Comprehensive Cancer Center, Buffalo, NY 14263, USA
| | - Yan V Sun
- Department of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, GA 30322, USA
| | - Salman M Tajuddin
- National Institute on Aging, National Institutes of Health, Baltimore, MD 21224, USA
| | - Herman Taylor
- Department of Medicine, University of Mississippi Medical Center, Jackson, MS 39216, USA
| | - Kira Taylor
- Department of Epidemiology and Population Health, School of Public Health and Information Sciences, University of Louisville, Louisville, KY 40202, USA
| | - Bamidele O Tayo
- Department of Public Health Sciences, Stritch School of Medicine, Loyola University Chicago Stritch School of Medicine, Maywood, IL 60153, USA
| | - Michael J Thun
- Epidemiology Research Program, American Cancer Society, Atlanta, GA 30303, USA
| | - Margaret A Tucker
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD 20892, USA
| | - Dhananjay Vaidya
- Division of General Internal Medicine, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA; Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD 21205, USA
| | - David J Van Den Berg
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA 90033, USA; Norris Comprehensive Cancer Center, University of Southern California, Los Angeles, CA 90033, USA
| | - Sailaja Vedantam
- Program in Medical and Population Genetics, Broad Institute of Harvard and MIT, Cambridge, MA 02142, USA; Division of Endocrinology and Center for Basic and Translational Obesity Research, Boston Children's Hospital, Boston, MA 02115, USA
| | - Mara Vitolins
- Division of Public Health Sciences, Wake Forest University School of Medicine, Winston-Salem, NC 27157, USA
| | - Zhaoming Wang
- Department of Epidemiology and Cancer Control, St. Jude Children's Research Hospital, Memphis, TN 38105, USA
| | - Erin B Ware
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI 48109, USA; Survey Research Center, Institute for Social Research, University of Michigan, Ann Arbor, MI 48104, USA
| | - Sylvia Wassertheil-Smoller
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, NY 10461, USA
| | - David R Weir
- Survey Research Center, Institute for Social Research, University of Michigan, Ann Arbor, MI 48104, USA
| | - John K Wiencke
- Department of Neurological Surgery, University of California, San Francisco, San Francisco, CA 94158, USA
| | - Scott M Williams
- Departments of Population and Quantitative Health Sciences, Case Western Reserve University, Cleveland, OH 44106, USA
| | - L Keoki Williams
- Center for Health Policy and Health Services Research, Henry Ford Health System, Detroit, MI 48202, USA; Department of Internal Medicine, Henry Ford Health System, Detroit, MI 48202, USA
| | - James G Wilson
- Department of Physiology and Biophysics, University of Mississippi Medical Center, Jackson, MS 39216, USA
| | - John S Witte
- Department of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco, CA 94158, USA; Department of Urology, University of California, San Francisco, San Francisco, CA 94158, USA
| | - Margaret Wrensch
- Department of Neurological Surgery, University of California, San Francisco, San Francisco, CA 94158, USA; Department of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco, CA 94158, USA
| | - Xifeng Wu
- Department of Epidemiology, Division of Cancer Prevention and Population Sciences, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Jie Yao
- Institute for Translational Genomics and Population Sciences, Los Angeles Biomedical Research Institute at Harbor-UCLA Medical Center, Torrance, CA 90502, USA
| | - Neil Zakai
- Department of Medicine, University of Vermont College of Medicine, Burlington, VT 05405, USA
| | - Krista Zanetti
- Division of Cancer Control and Population Sciences, National Cancer Institute, Bethesda, MD 20892, USA
| | - Babette S Zemel
- Department of Pediatrics, University of Pennsylvania School of Medicine, Philadelphia, PA 19104, USA; Division of Gastroenterology, Hepatology and Nutrition, The Children's Hospital of Philadelphia, Philadelphia, PA 19146, USA
| | - Wei Zhao
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI 48109, USA
| | - Jing Hua Zhao
- MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Cambridge CB2 0QQ, UK
| | - Wei Zheng
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt University School of Medicine, Nashville, TN 37232, USA; Vanderbilt-Ingram Cancer Center, Vanderbilt University School of Medicine, Nashville, TN 37232, USA
| | - Degui Zhi
- School of Biomedical Informatics, University of Texas Health Science Center at Houston, Houston, TX 77030, USA
| | - Jie Zhou
- Center for Research on Genomics and Global Health, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD 20892, USA
| | - Xiaofeng Zhu
- Departments of Population and Quantitative Health Sciences, Case Western Reserve University, Cleveland, OH 44106, USA
| | - Regina G Ziegler
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD 20892, USA
| | - Joe Zmuda
- Department of Epidemiology, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, PA 15261, USA
| | - Alan B Zonderman
- Laboratory of Epidemiology and Population Sciences, National Institute on Aging, National Institutes of Health, Bethesda, MD 20892, USA
| | - Bruce M Psaty
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, WA 98101, USA
| | - Ingrid B Borecki
- Division of Statistical Genomics, Department of Genetics, Washington University School of Medicine, St. Louis, MO 63108, USA; BioData Catalyst Program, National Heart, Lung, and Blood Institute, Bethesda, MD 20892, USA
| | - L Adrienne Cupples
- Department of Biostatistics, Boston University School of Public Health, Boston, MA 02118, USA; Framingham Heart Study, Boston University School of Medicine, Boston, MA 02118, USA
| | - Ching-Ti Liu
- Department of Biostatistics, Boston University School of Public Health, Boston, MA 02118, USA
| | - Christopher A Haiman
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA 90033, USA; Norris Comprehensive Cancer Center, University of Southern California, Los Angeles, CA 90033, USA
| | - Ruth Loos
- The Charles R. Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA; Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA; The Mindich Child Health Development Institute, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Maggie C Y Ng
- Center for Genomics and Personalized Medicine Research, Wake Forest School of Medicine, Winston-Salem, NC 27157, USA; Center for Diabetes Research, Wake Forest school of Medicine, Winston-Salem, NC 27157, USA
| | - Kari E North
- Department of Epidemiology, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
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Johnson CSC, Shively C, Michalson KT, Lea AJ, DeBo RJ, Howard TD, Hawkins GA, Appt SE, Liu Y, McCall CE, Herrington DM, Ip EH, Register TC, Snyder-Mackler N. Contrasting effects of Western vs Mediterranean diets on monocyte inflammatory gene expression and social behavior in a primate model. eLife 2021; 10:68293. [PMID: 34338633 PMCID: PMC8423447 DOI: 10.7554/elife.68293] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/11/2021] [Accepted: 07/28/2021] [Indexed: 01/20/2023] Open
Abstract
Dietary changes associated with industrialization increase the prevalence of chronic diseases, such as obesity, type II diabetes, and cardiovascular disease. This relationship is often attributed to an 'evolutionary mismatch' between human physiology and modern nutritional environments. Western diets enriched with foods that were scarce throughout human evolutionary history (e.g. simple sugars and saturated fats) promote inflammation and disease relative to diets more akin to ancestral human hunter-gatherer diets, such as a Mediterranean diet. Peripheral blood monocytes, precursors to macrophages and important mediators of innate immunity and inflammation, are sensitive to the environment and may represent a critical intermediate in the pathway linking diet to disease. We evaluated the effects of 15 months of whole diet manipulations mimicking Western or Mediterranean diet patterns on monocyte polarization in a well-established model of human health, the cynomolgus macaque (Macaca fascicularis). Monocyte transcriptional profiles differed markedly between diets, with 40% of transcripts showing differential expression (FDR < 0.05). Monocytes from Western diet consumers were polarized toward a more proinflammatory phenotype. The Western diet shifted the co-expression of 445 gene pairs, including small RNAs and transcription factors associated with metabolism and adiposity in humans, and dramatically altered behavior. For example, Western-fed individuals were more anxious and less socially integrated. These behavioral changes were also associated with some of the effects of diet on gene expression, suggesting an interaction between diet, central nervous system activity, and monocyte gene expression. This study provides new molecular insights into an evolutionary mismatch and uncovers new pathways through which Western diets alter monocyte polarization toward a proinflammatory phenotype.
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Affiliation(s)
- Corbin SC Johnson
- Department of Psychology, University of WashingtonSeattleUnited States
| | - Carol Shively
- Department of Pathology, Section on Comparative Medicine, Wake Forest School of MedicineWinston-SalemUnited States
| | - Kristofer T Michalson
- Department of Pathology, Section on Comparative Medicine, Wake Forest School of MedicineWinston-SalemUnited States
| | - Amanda J Lea
- Lewis-Sigler Institute for Integrative Genomics, Princeton UniversityPrincetonUnited States,Department of Ecology and Evolutionary Biology, Princeton UniversityPrincetonUnited States
| | - Ryne J DeBo
- Department of Pathology, Section on Comparative Medicine, Wake Forest School of MedicineWinston-SalemUnited States
| | - Timothy D Howard
- Department of Biochemistry, Wake Forest School of MedicineWinston-SalemUnited States
| | - Gregory A Hawkins
- Department of Biochemistry, Wake Forest School of MedicineWinston-SalemUnited States
| | - Susan E Appt
- Department of Pathology, Section on Comparative Medicine, Wake Forest School of MedicineWinston-SalemUnited States
| | - Yongmei Liu
- Division of Cardiology, Duke University School of MedicineDurhamUnited States
| | - Charles E McCall
- Department of Internal Medicine, Section of Molecular Medicine, Wake Forest School of MedicineWinston-SalemUnited States
| | - David M Herrington
- Department of Internal Medicine, Section on Cardiovascular Medicine, Wake Forest School of MedicineWinston-SalemUnited States
| | - Edward H Ip
- Department of Biostatistics and Data Science, Wake Forest School of MedicineWinston-SalemUnited States
| | - Thomas C Register
- Department of Pathology, Section on Comparative Medicine, Wake Forest School of MedicineWinston-SalemUnited States
| | - Noah Snyder-Mackler
- Department of Psychology, University of WashingtonSeattleUnited States,Center for Studies in Demography and Ecology, University of WashingtonSeattleUnited States,Department of Biology, University of WashingtonSeattleUnited States,School of Life Sciences, Arizona State UniversityTempeUnited States,Center for Evolution & Medicine, Arizona State UniversityTempeUnited States
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16
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Ainsworth HC, Howard TD, Langefeld CD. Intrinsic DNA topology as a prioritization metric in genomic fine-mapping studies. Nucleic Acids Res 2020; 48:11304-11321. [PMID: 33084892 PMCID: PMC7672465 DOI: 10.1093/nar/gkaa877] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/18/2020] [Revised: 08/23/2020] [Accepted: 09/25/2020] [Indexed: 12/15/2022] Open
Abstract
In genomic fine-mapping studies, some approaches leverage annotation data to prioritize likely functional polymorphisms. However, existing annotation resources can present challenges as many lack information for novel variants and/or may be uninformative for non-coding regions. We propose a novel annotation source, sequence-dependent DNA topology, as a prioritization metric for fine-mapping. DNA topology and function are well-intertwined, and as an intrinsic DNA property, it is readily applicable to any genomic region. Here, we constructed and applied Minor Groove Width (MGW) as a prioritization metric. Using an established MGW-prediction method, we generated a MGW census for 199 038 197 SNPs across the human genome. Summarizing a SNP's change in MGW (ΔMGW) as a Euclidean distance, ΔMGW exhibited a strongly right-skewed distribution, highlighting the infrequency of SNPs that generate dissimilar shape profiles. We hypothesized that phenotypically-associated SNPs can be prioritized by ΔMGW. We tested this hypothesis in 116 regions analyzed by a Massively Parallel Reporter Assay and observed enrichment of large ΔMGW for functional polymorphisms (P = 0.0007). To illustrate application in fine-mapping studies, we applied our MGW-prioritization approach to three non-coding regions associated with systemic lupus erythematosus. Together, this study presents the first usage of sequence-dependent DNA topology as a prioritization metric in genomic association studies.
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Affiliation(s)
- Hannah C Ainsworth
- Department of Biostatistics and Data Science, Wake Forest School of Medicine, Winston-Salem, NC 27157, USA.,Center for Precision Medicine, Wake Forest School of Medicine, Winston-Salem, NC 27157, USA
| | - Timothy D Howard
- Center for Precision Medicine, Wake Forest School of Medicine, Winston-Salem, NC 27157, USA.,Department of Biochemistry, Wake Forest School of Medicine, Winston-Salem, NC 27157, USA
| | - Carl D Langefeld
- Department of Biostatistics and Data Science, Wake Forest School of Medicine, Winston-Salem, NC 27157, USA.,Center for Precision Medicine, Wake Forest School of Medicine, Winston-Salem, NC 27157, USA.,Comprehensive Cancer Center of Wake Forest Baptist Medical Center, Winston-Salem, NC 27157, USA
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17
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Jensen ET, Langefeld CD, Zimmerman KD, Howard TD, Dellon ES. Epigenetic methylation in Eosinophilic Esophagitis: Molecular ageing and novel biomarkers for treatment response. Clin Exp Allergy 2020; 50:1372-1380. [PMID: 32986922 DOI: 10.1111/cea.13748] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/12/2020] [Revised: 09/09/2020] [Accepted: 09/20/2020] [Indexed: 01/16/2023]
Abstract
BACKGROUND Treatment failure in eosinophilic esophagitis (EoE) is common. We hypothesize that DNA methylation differs between patients by treatment response to topical steroids (oral viscous budesonide), thus offering the potential to inform targeting therapies. OBJECTIVE We sought to identify differentially methylated sites and affiliated genes in pre-treatment oesophageal cells between responders and non-responders and test for accelerated epigenetic ageing in oesophageal cells of EoE patients. METHODS DNA was extracted from prospectively collected and biobanked oesophageal biopsies from 36 Caucasian treatment naïve EoE patients at diagnosis. Methylation assays were completed using the Infinium HumanMethylation450 BeadChip. Normalized β values for each CpG site were tested (t test) for differential methylation. Further, 353 CpG probes were used to estimate epigenetic age for each patient and a linear regression model tested whether chronologic age and epigenetic age differed. Epigenetic age results were confirmed in an independent cohort of healthy controls. RESULTS Eighteen CpG sites were differentially methylated by treatment response (P < .00001). The mean epigenetic age and chronological age were 56.1 ± 11.1 and 36.7 ± 12.3 years, a mean age difference of 19.3 ± 5.2 years (P < .0001); accelerated ageing was not observed in the oesophageal cells of healthy controls. CONCLUSIONS AND CLINICAL RELEVANCE EoE patients that respond versus do not respond to treatment have differences in their methylation profile, including enrichment of genes in pathways consistent with cellular injury and repair due to environmental stress and cell adhesion and barrier integrity. EoE also appears to accelerate cellular ageing. Whether treatment can arrest or reverse accelerated epigenetic ageing and the implications for long-term disease progression is important areas for future research.
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Affiliation(s)
- Elizabeth T Jensen
- Department of Epidemiology and Prevention, Wake Forest School of Medicine, Winston-Salem, NC, USA
- Division of Gastroenterology and Hepatology, Department of Medicine, University of North Carolina School of Medicine, Chapel Hill, NC, USA
- Department of Internal Medicine, Section on Gastroenterology, Wake Forest School of Medicine, Winston-Salem, NC, USA
| | - Carl D Langefeld
- Department of Biostatistics and Data Science, Wake Forest School of Medicine, Winston-Salem, NC, USA
| | - Kip D Zimmerman
- Department of Biostatistics and Data Science, Wake Forest School of Medicine, Winston-Salem, NC, USA
| | - Timothy D Howard
- Department of Biochemistry, Wake Forest School of Medicine, Winston-Salem, NC, USA
| | - Evan S Dellon
- Division of Gastroenterology and Hepatology, Department of Medicine, University of North Carolina School of Medicine, Chapel Hill, NC, USA
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Sharma NK, Comeau ME, Montoya D, Pellegrini M, Howard TD, Langefeld CD, Das SK. Integrative Analysis of Glucometabolic Traits, Adipose Tissue DNA Methylation, and Gene Expression Identifies Epigenetic Regulatory Mechanisms of Insulin Resistance and Obesity in African Americans. Diabetes 2020; 69:2779-2793. [PMID: 32928872 PMCID: PMC7679782 DOI: 10.2337/db20-0117] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/30/2020] [Accepted: 08/28/2020] [Indexed: 12/13/2022]
Abstract
Decline in insulin sensitivity due to dysfunction of adipose tissue (AT) is one of the earliest pathogenic events in type 2 diabetes. We hypothesize that differential DNA methylation (DNAm) controls insulin sensitivity and obesity by modulating transcript expression in AT. Integrating AT DNAm profiles with transcript profile data measured in a cohort of 230 African Americans (AAs) from the African American Genetics of Metabolism and Expression cohort, we performed cis-expression quantitative trait methylation (cis-eQTM) analysis to identify epigenetic regulatory loci for glucometabolic trait-associated transcripts. We identified significantly associated cytosine-guanine dinucleotide regions for 82 transcripts (false discovery rate [FDR]-P < 0.05). The strongest eQTM locus was observed for the proopiomelanocortin (POMC; ρ = -0.632, P = 4.70 × 10-27) gene. Epigenome-wide association studies (EWAS) further identified 155, 46, and 168 cytosine-guanine dinucleotide regions associated (FDR-P < 0.05) with the Matsuda index, SI, and BMI, respectively. Intersection of EWAS, transcript level to trait association, and eQTM results, followed by causal inference test identified significant eQTM loci for 23 genes that were also associated with Matsuda index, SI, and/or BMI in EWAS. These associated genes include FERMT3, ITGAM, ITGAX, and POMC In summary, applying an integrative multiomics approach, our study provides evidence for DNAm-mediated regulation of gene expression at both previously identified and novel loci for many key AT transcripts influencing insulin resistance and obesity.
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Affiliation(s)
- Neeraj K Sharma
- Department of Internal Medicine, Section of Endocrinology and Metabolism, Wake Forest School of Medicine, Winston-Salem, NC
| | - Mary E Comeau
- Department of Biostatistics and Data Science, Division of Public Health Sciences, Wake Forest School of Medicine, Winston-Salem, NC
| | - Dennis Montoya
- Department of Molecular, Cell and Developmental Biology, University of California Los Angeles, Los Angeles, CA
| | - Matteo Pellegrini
- Department of Molecular, Cell and Developmental Biology, University of California Los Angeles, Los Angeles, CA
| | - Timothy D Howard
- Department of Biochemistry, Wake Forest School of Medicine, Winston-Salem, NC
| | - Carl D Langefeld
- Department of Biostatistics and Data Science, Division of Public Health Sciences, Wake Forest School of Medicine, Winston-Salem, NC
| | - Swapan K Das
- Department of Internal Medicine, Section of Endocrinology and Metabolism, Wake Forest School of Medicine, Winston-Salem, NC
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19
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Arcury TA, Trejo G, Moore D, Howard TD, Quandt SA, Ip EH, Sandberg JC. "It's Worse to Breathe It Than to Smoke It": Secondhand Smoke Beliefs in a Group of Mexican and Central American Immigrants in the United States. Int J Environ Res Public Health 2020; 17:E8630. [PMID: 33233697 PMCID: PMC7699747 DOI: 10.3390/ijerph17228630] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 10/28/2020] [Revised: 11/16/2020] [Accepted: 11/17/2020] [Indexed: 11/17/2022]
Abstract
This analysis describes beliefs about secondhand smoke and its health effects held by Mexican and Central American immigrants in North Carolina. Data from 60 semistructured, in-depth interviews were subjected to saliency analysis. Participant discussions of secondhand smoke centered on four domains: (1) familiarity and definition of secondhand smoke, (2) potency of secondhand smoke, (3) general health effects of secondhand smoke, and (4) child health effects of secondhand smoke. Secondhand smoke was generally believed to be more harmful than primary smoke. Mechanisms for the potency and health effects of secondhand smoke involved the smell of secondhand smoke, secondhand smoke being an infection and affecting the immune system, and personal strength being protective of secondhand smoke. Understanding these health beliefs informs a framework for further health education and intervention to reduce smoking and secondhand smoke exposure in this vulnerable population.
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Affiliation(s)
- Thomas A. Arcury
- Department of Family and Community Medicine, Wake Forest School of Medicine, Winston-Salem, NC 27157, USA; (G.T.); (J.C.S.)
| | - Grisel Trejo
- Department of Family and Community Medicine, Wake Forest School of Medicine, Winston-Salem, NC 27157, USA; (G.T.); (J.C.S.)
| | - DaKysha Moore
- Department of Visual, Performing, & Communication Arts, Johnson C. Smith University, Charlotte, NC 28216, USA;
| | - Timothy D. Howard
- Department of Biochemistry, Wake Forest School of Medicine, Winston-Salem, NC 27157, USA;
| | - Sara A. Quandt
- Department of Epidemiology and Prevention, Wake Forest School of Medicine, Winston-Salem, NC 27157, USA;
| | - Edward H. Ip
- Department of Biostatistics and Data Science, Wake Forest School of Medicine, Winston-Salem, NC 27157, USA;
| | - Joanne C. Sandberg
- Department of Family and Community Medicine, Wake Forest School of Medicine, Winston-Salem, NC 27157, USA; (G.T.); (J.C.S.)
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20
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Owen KA, Price A, Ainsworth H, Aidukaitis BN, Bachali P, Catalina MD, Dittman JM, Howard TD, Kingsmore KM, Labonte AC, Marion MC, Robl RD, Zimmerman KD, Langefeld CD, Grammer AC, Lipsky PE. Analysis of Trans-Ancestral SLE Risk Loci Identifies Unique Biologic Networks and Drug Targets in African and European Ancestries. Am J Hum Genet 2020; 107:864-881. [PMID: 33031749 PMCID: PMC7675009 DOI: 10.1016/j.ajhg.2020.09.007] [Citation(s) in RCA: 20] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/19/2020] [Accepted: 09/16/2020] [Indexed: 12/11/2022] Open
Abstract
Systemic lupus erythematosus (SLE) is a multi-organ autoimmune disorder with a prominent genetic component. Individuals of African ancestry (AA) experience the disease more severely and with an increased co-morbidity burden compared to European ancestry (EA) populations. We hypothesize that the disparities in disease prevalence, activity, and response to standard medications between AA and EA populations is partially conferred by genomic influences on biological pathways. To address this, we applied a comprehensive approach to identify all genes predicted from SNP-associated risk loci detected with the Immunochip. By combining genes predicted via eQTL analysis, as well as those predicted from base-pair changes in intergenic enhancer sites, coding-region variants, and SNP-gene proximity, we were able to identify 1,731 potential ancestry-specific and trans-ancestry genetic drivers of SLE. Gene associations were linked to upstream and downstream regulators using connectivity mapping, and predicted biological pathways were mined for candidate drug targets. Examination of trans-ancestral pathways reflect the well-defined role for interferons in SLE and revealed pathways associated with tissue repair and remodeling. EA-dominant genetic drivers were more often associated with innate immune and myeloid cell function pathways, whereas AA-dominant pathways mirror clinical findings in AA subjects, suggesting disease progression is driven by aberrant B cell activity accompanied by ER stress and metabolic dysfunction. Finally, potential ancestry-specific and non-specific drug candidates were identified. The integration of all SLE SNP-predicted genes into functional pathways revealed critical molecular pathways representative of each population, underscoring the influence of ancestry on disease mechanism and also providing key insight for therapeutic selection.
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MESH Headings
- B-Lymphocytes/immunology
- B-Lymphocytes/pathology
- Black People
- Bortezomib/therapeutic use
- DNA, Intergenic/genetics
- DNA, Intergenic/immunology
- Enhancer Elements, Genetic
- Gene Expression
- Gene Ontology
- Gene Regulatory Networks
- Genetic Predisposition to Disease
- Genome, Human
- Genome-Wide Association Study
- Heterocyclic Compounds/therapeutic use
- Humans
- Interferons/genetics
- Interferons/immunology
- Isoquinolines/therapeutic use
- Lactams
- Lupus Erythematosus, Systemic/drug therapy
- Lupus Erythematosus, Systemic/ethnology
- Lupus Erythematosus, Systemic/genetics
- Lupus Erythematosus, Systemic/immunology
- Molecular Sequence Annotation
- Polymorphism, Single Nucleotide
- Protein Array Analysis
- Quantitative Trait Loci
- Quantitative Trait, Heritable
- White People
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Affiliation(s)
| | - Andrew Price
- AMPEL BioSolutions LLC, Charlottesville, VA 22902, USA
| | | | | | | | | | | | | | | | | | | | - Robert D Robl
- AMPEL BioSolutions LLC, Charlottesville, VA 22902, USA
| | - Kip D Zimmerman
- Wake Forest School of Medicine, Winston-Salem, NC 27109, USA
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Dosso B, Waits CMK, Simms KN, Sergeant S, Files DC, Howard TD, Langefeld CD, Chilton FH, Rahbar E. Impact of rs174537 on Critically Ill Patients with Acute Lung Injury: A Secondary Analysis of the OMEGA Randomized Clinical Trial. Curr Dev Nutr 2020; 4:nzaa147. [PMID: 33024925 PMCID: PMC7524639 DOI: 10.1093/cdn/nzaa147] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/08/2020] [Revised: 08/26/2020] [Accepted: 09/02/2020] [Indexed: 12/21/2022] Open
Abstract
BACKGROUND Nutrition in the intensive care unit is vital for patient care; however, immunomodulatory diets rich in PUFAs like γ-linolenic acid (GLA), EPA, and DHA remain controversial for patients with acute respiratory distress syndrome. We postulate that genetic variants impacting PUFA metabolism contribute to mixed responses to PUFA-rich diets. OBJECTIVES In this study, we aimed to test the effects of single nucleotide polymorphism (SNP) rs174537 on differential responses to PUFA-rich diets. METHODS We performed a secondary analysis of the OMEGA trial (NCT00609180) where 129 subjects received placebo control diets and 143 received omega-oil. DNA was extracted from buffy coats and used to genotype rs174537; plasma was used to quantitate PUFAs. We tested for SNP-diet interactions on PUFA concentrations, inflammatory biomarkers, and patient outcomes. RESULTS We observed that all individuals receiving omega-oil displayed significantly higher concentrations of GLA, EPA, and DHA (all P < 0.0001), but they did not vary by genotype at rs174537. Statistically significant SNP-diet interactions were observed on circulating DHA concentrations in African Americans. Specifically, African American T-allele carriers on placebo illustrated elevated DHA concentrations. Additionally, all individuals receiving omega-oil had higher concentrations of EPA-derived urinary F3-isoprostane (Caucasians: P = 0.0011; African Americans: P = 0.0002). Despite these findings, we did not detect any significant SNP-diet interactions on pulmonary functional metrics, clinical outcomes, and mortality. CONCLUSIONS This study highlights the importance of genetic and racial contributions to PUFA metabolism and inflammation. In particular, rs174537 had a significant impact on circulating DHA and urinary isoprostane concentrations. Given our relatively small sample size, further investigations in larger multiethnic cohorts are needed to evaluate the impact of rs174537 on fatty acid metabolism and downstream inflammation.
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Affiliation(s)
- Beverly Dosso
- Department of Physiology and Pharmacology, Wake Forest School of Medicine, Winston-Salem, NC, USA
| | - Charlotte Mae K Waits
- Department of Biomedical Engineering, Virginia Tech-Wake Forest University School of Biomedical Engineering and Sciences, Winston-Salem, NC, USA
| | - Kelli N Simms
- Department of Biomedical Engineering, Virginia Tech-Wake Forest University School of Biomedical Engineering and Sciences, Winston-Salem, NC, USA
| | - Susan Sergeant
- Department of Biochemistry, Wake Forest School of Medicine, Winston-Salem, NC, USA
| | - D Clark Files
- Department of Internal Medicine, Sections in Pulmonary and Critical Care Medicine, Wake Forest School of Medicine, Winston-Salem, NC, USA
| | - Timothy D Howard
- Department of Biochemistry, Wake Forest School of Medicine, Winston-Salem, NC, USA
- Center for Precision Medicine, Wake Forest School of Medicine, Winston-Salem, NC, USA
| | - Carl D Langefeld
- Center for Precision Medicine, Wake Forest School of Medicine, Winston-Salem, NC, USA
- Department of Biostatistics and Data Science, Wake Forest School of Medicine, Winston-Salem, NC, USA
| | - Floyd H Chilton
- Department of Nutritional Sciences, University of Arizona, Tucson, AZ, USA
| | - Elaheh Rahbar
- Department of Biomedical Engineering, Virginia Tech-Wake Forest University School of Biomedical Engineering and Sciences, Winston-Salem, NC, USA
- Center for Precision Medicine, Wake Forest School of Medicine, Winston-Salem, NC, USA
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22
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Reynolds LM, Dutta R, Seeds MC, Lake KN, Hallmark B, Mathias RA, Howard TD, Chilton FH. FADS genetic and metabolomic analyses identify the ∆5 desaturase (FADS1) step as a critical control point in the formation of biologically important lipids. Sci Rep 2020; 10:15873. [PMID: 32985521 PMCID: PMC7522985 DOI: 10.1038/s41598-020-71948-1] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/06/2019] [Accepted: 08/24/2020] [Indexed: 12/12/2022] Open
Abstract
Humans have undergone intense evolutionary selection to optimize their capacity to generate necessary quantities of long chain (LC-) polyunsaturated fatty acid (PUFA)-containing lipids. To better understand the impact of genetic variation within a locus of three FADS genes (FADS1, FADS2, and FADS3) on a diverse family of lipids, we examined the associations of 247 lipid metabolites (including four major classes of LC-PUFA-containing molecules and signaling molecules) with common and low-frequency genetic variants located within the FADS locus. Genetic variation in the FADS locus was strongly associated (p < 1.2 × 10–8) with 52 LC-PUFA-containing lipids and signaling molecules, including free fatty acids, phospholipids, lyso-phospholipids, and an endocannabinoid. Notably, the majority (80%) of FADS-associated lipids were not significantly associated with genetic variants outside of this FADS locus. These findings highlight the central role genetic variation at the FADS locus plays in regulating levels of physiologically critical LC-PUFA-containing lipids that participate in innate immunity, energy homeostasis, and brain development/function.
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Affiliation(s)
- Lindsay M Reynolds
- Division of Public Health Sciences, Department of Epidemiology and Prevention, Wake Forest School of Medicine, Winston-Salem, NC, 27157, USA
| | - Rahul Dutta
- Department of Urology, Wake Forest School of Medicine, Winston-Salem, NC, 27157, USA
| | - Michael C Seeds
- Department of Internal Medicine/Molecular Medicine, and the Wake Forest Institute of Regenerative Medicine, Wake Forest School of Medicine, Winston-Salem, NC, 27157, USA
| | - Kirsten N Lake
- Department of Nutritional Sciences, University of Arizona, Tucson, AZ, 85719, USA
| | - Brian Hallmark
- The BIO5 Institute, University of Arizona, Tucson, AZ, 85719, USA
| | - Rasika A Mathias
- Division of Allergy and Clinical Immunology, Department of Medicine, Johns Hopkins University, Baltimore, MD, 21224, USA
| | - Timothy D Howard
- Department of Biochemistry, Wake Forest School of Medicine, Winston-Salem, NC, 27157, USA
| | - Floyd H Chilton
- Department of Nutritional Sciences, University of Arizona, Tucson, AZ, 85719, USA. .,The BIO5 Institute, University of Arizona, Tucson, AZ, 85719, USA.
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23
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Michalson KT, Groban L, Howard TD, Shively CA, Sophonsritsuk A, Appt SE, Cline JM, Clarkson TB, Carr JJ, Kitzman DW, Register TC. Estradiol Treatment Initiated Early After Ovariectomy Regulates Myocardial Gene Expression and Inhibits Diastolic Dysfunction in Female Cynomolgus Monkeys: Potential Roles for Calcium Homeostasis and Extracellular Matrix Remodeling. J Am Heart Assoc 2019; 7:e009769. [PMID: 30571375 PMCID: PMC6404177 DOI: 10.1161/jaha.118.009769] [Citation(s) in RCA: 16] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
Abstract
Background Left ventricular (LV) diastolic dysfunction often precedes heart failure with preserved ejection fraction, the dominant form of heart failure in postmenopausal women. The objective of this study was to determine the effect of oral estradiol treatment initiated early after ovariectomy on LV function and myocardial gene expression in female cynomolgus macaques. Methods and Results Monkeys were ovariectomized and randomized to receive placebo (control) or oral estradiol at a human‐equivalent dose of 1 mg/day for 8 months. Monkeys then underwent conventional and tissue Doppler imaging to assess cardiac function, followed by transcriptomic and histomorphometric analyses of LV myocardium. Age, body weight, blood pressure, and heart rate were similar between groups. Echocardiographic mitral early and late inflow velocities, mitral annular velocities, and mitral E deceleration slope were higher in estradiol monkeys (all P<0.05), despite similar estimated LV filling pressure. MCP1 (monocyte chemoattractant protein 1) and LV collagen staining were lower in estradiol animals (P<0.05). Microarray analysis revealed differential myocardial expression of 40 genes (>1.2‐fold change; false discovery rate, P<0.05) in estradiol animals relative to controls, which implicated pathways associated with better calcium ion homeostasis and muscle contraction and lower extracellular matrix deposition (P<0.05). Conclusions Estradiol treatment initiated soon after ovariectomy resulted in enhanced LV diastolic function, and altered myocardial gene expression towards decreased extracellular matrix deposition, improved myocardial contraction, and calcium homeostasis, suggesting that estradiol directly or indirectly modulates the myocardial transcriptome to preserve cardiovascular function.
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Affiliation(s)
- Kristofer T. Michalson
- Section on Comparative MedicineDepartment of PathologyWake Forest University School of MedicineWinston‐SalemNC
| | - Leanne Groban
- Department of AnesthesiologyWake Forest University School of MedicineWinston‐SalemNC
| | - Timothy D. Howard
- Department of BiochemistryWake Forest University School of MedicineWinston‐SalemNC
| | - Carol A. Shively
- Section on Comparative MedicineDepartment of PathologyWake Forest University School of MedicineWinston‐SalemNC
| | - Areepan Sophonsritsuk
- Section on Comparative MedicineDepartment of PathologyWake Forest University School of MedicineWinston‐SalemNC
| | - Susan E. Appt
- Section on Comparative MedicineDepartment of PathologyWake Forest University School of MedicineWinston‐SalemNC
| | - J. Mark Cline
- Section on Comparative MedicineDepartment of PathologyWake Forest University School of MedicineWinston‐SalemNC
| | - Thomas B. Clarkson
- Section on Comparative MedicineDepartment of PathologyWake Forest University School of MedicineWinston‐SalemNC
| | - J. Jeffrey Carr
- Department of RadiologyVanderbilt University School of MedicineNashvilleTN
| | - Dalane W. Kitzman
- Section on CardiologyDepartment of Internal MedicineWake Forest University School of MedicineWinston‐SalemNC
| | - Thomas C. Register
- Section on Comparative MedicineDepartment of PathologyWake Forest University School of MedicineWinston‐SalemNC
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24
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Clancy RM, Marion MC, Ainsworth HC, Blaser MJ, Chang M, Howard TD, Izmirly PM, Lacher C, Masson M, Robins K, Buyon JP, Langefeld CD. Salivary dysbiosis and the clinical spectrum in anti-Ro positive mothers of children with neonatal lupus. J Autoimmun 2019; 107:102354. [PMID: 31677965 DOI: 10.1016/j.jaut.2019.102354] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/05/2019] [Revised: 10/15/2019] [Accepted: 10/18/2019] [Indexed: 10/25/2022]
Abstract
Mothers giving birth to children with manifestations of neonatal lupus (NL) represent a unique population at risk for the development of clinically evident pathologic autoimmunity since many are asymptomatic and only become aware of anti-SSA/Ro positivity (anti-Ro+) based on heart block in their fetus. Accordingly, we hypothesized that the microbiome in saliva is associated with the development of autoreactivity and in some cases the progression in health status from benign to overt clinical disease including Sjögren's syndrome (SS) and systemic lupus erythematosus (SLE). The study comprised a clinical spectrum of anti-Ro+ mothers, all of whom gave birth to a child with NL: 9 were asymptomatic or had an undifferentiated autoimmune disease (Asym/UAS) and 16 fulfilled criteria for SS and/or SLE. Microbial diversity was reduced across all levels from kingdom to species for the anti-Ro+ mothers vs healthy controls; however, there were no significant differences between Asym/UAS and SS/SLE mothers. Relative abundance of Proteobacteria and more specifically class Betaproteobacteria decreased with clinical severity (healthy controls < Asym/UAS < SS/SLE). These ordered differences were maintained through the taxonomic hierarchy to three genera (Lautropia, Comamonas, and Neisseria) and species within these genera (L. mirabilis, N. flavescens and N. oralis). Biometric analysis comparing von Willebrand Factor domains present in human Ro60 with L. mirabilis proteins support the hypothesis of molecular mimicry. These data position the microbiome in the development of anti-Ro reactivity and subsequent clinical spectrum of disease.
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Affiliation(s)
- R M Clancy
- NYU Langone Health, Department of Medicine, Division of Rheumatology, New York, NY, USA.
| | - M C Marion
- Department of Biostatistics and Data Science, Wake Forest School of Medicine, Winston-Salem, NC, USA
| | - H C Ainsworth
- Department of Biostatistics and Data Science, Wake Forest School of Medicine, Winston-Salem, NC, USA
| | - M J Blaser
- Rutgers University, Center for Advanced Biotechnology and Medicine, Piscataway, NJ, USA
| | - M Chang
- NYU Langone Health, Department of Medicine, Division of Rheumatology, New York, NY, USA
| | - T D Howard
- Department of Biochemistry, Wake Forest School of Medicine, Winston-Salem, NC, USA
| | - P M Izmirly
- NYU Langone Health, Department of Medicine, Division of Rheumatology, New York, NY, USA
| | - C Lacher
- Rutgers University, Center for Advanced Biotechnology and Medicine, Piscataway, NJ, USA
| | - M Masson
- NYU Langone Health, Department of Medicine, Division of Rheumatology, New York, NY, USA
| | - K Robins
- NYU Langone Health, Department of Medicine, Division of Rheumatology, New York, NY, USA
| | - J P Buyon
- NYU Langone Health, Department of Medicine, Division of Rheumatology, New York, NY, USA
| | - C D Langefeld
- Department of Biostatistics and Data Science, Wake Forest School of Medicine, Winston-Salem, NC, USA
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25
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Olivier M, Asmis R, Hawkins GA, Howard TD, Cox LA. The Need for Multi-Omics Biomarker Signatures in Precision Medicine. Int J Mol Sci 2019; 20:ijms20194781. [PMID: 31561483 PMCID: PMC6801754 DOI: 10.3390/ijms20194781] [Citation(s) in RCA: 232] [Impact Index Per Article: 46.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/23/2019] [Revised: 09/11/2019] [Accepted: 09/25/2019] [Indexed: 12/12/2022] Open
Abstract
Recent advances in omics technologies have led to unprecedented efforts characterizing the molecular changes that underlie the development and progression of a wide array of complex human diseases, including cancer. As a result, multi-omics analyses—which take advantage of these technologies in genomics, transcriptomics, epigenomics, proteomics, metabolomics, and other omics areas—have been proposed and heralded as the key to advancing precision medicine in the clinic. In the field of precision oncology, genomics approaches, and, more recently, other omics analyses have helped reveal several key mechanisms in cancer development, treatment resistance, and recurrence risk, and several of these findings have been implemented in clinical oncology to help guide treatment decisions. However, truly integrated multi-omics analyses have not been applied widely, preventing further advances in precision medicine. Additional efforts are needed to develop the analytical infrastructure necessary to generate, analyze, and annotate multi-omics data effectively to inform precision medicine-based decision-making.
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Affiliation(s)
- Michael Olivier
- Center for Precision Medicine, Department of Internal Medicine, Wake Forest Baptist Health Comprehensive Cancer Center, Wake Forest University Health Sciences, Winston-Salem, NC 27157, USA.
| | - Reto Asmis
- Center for Precision Medicine, Department of Internal Medicine, Wake Forest Baptist Health Comprehensive Cancer Center, Wake Forest University Health Sciences, Winston-Salem, NC 27157, USA.
| | - Gregory A Hawkins
- Center for Precision Medicine, Department of Biochemistry, Wake Forest Baptist Health Comprehensive Cancer Center, Wake Forest University Health Sciences, Winston-Salem, NC 27157, USA.
| | - Timothy D Howard
- Center for Precision Medicine, Department of Biochemistry, Wake Forest University Health Sciences, Winston-Salem, NC 27157, USA.
| | - Laura A Cox
- Center for Precision Medicine, Department of Internal Medicine, Wake Forest Baptist Health Comprehensive Cancer Center, Wake Forest University Health Sciences, Winston-Salem, NC 27157, USA.
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26
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Michalson KT, Macintyre AN, Sempowski GD, Bourland JD, Howard TD, Hawkins GA, Dugan GO, Cline JM, Register TC. Monocyte Polarization is Altered by Total-Body Irradiation in Male Rhesus Macaques: Implications for Delayed Effects of Acute Radiation Exposure. Radiat Res 2019; 192:121-134. [PMID: 31161966 DOI: 10.1667/rr15310.1] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/10/2023]
Abstract
Radiation-induced fibrosis (RIF) is a common delayed effect of acute ionizing radiation exposure (DEARE) affecting diverse tissues including the heart, lungs, liver and skin, leading to reduced tissue function and increased morbidity. Monocytes, which may be classified into classical (CD14++, CD16-), intermediate (CD14++, CD16+) and non-classical (CD14+/low, CD16++) subtypes in humans and non-human primates (NHPs), and monocyte-derived macrophages may play an integral role in the pathogenesis of RIF. We tested the hypothesis that moderate to high levels of total-body exposure to radiation would alter monocyte polarization and produce phenotypes that could promote multi-organ fibrosis in a wellestablished NHP model of DEARE. Subjects were 16 young adult male rhesus macaques, ten of which were exposed to high-energy, 4 Gy X-ray total-body irradiation (TBI) and six that received sham irradiation (control). Total monocytes assessed by complete blood counts were 89% depleted in TBI animals by day 9 postirradiation (P < 0.05), but recovered by day 30 postirradiation and did not differ from control levels thereafter. Monocytes were isolated from peripheral blood mononuclear cells (PBMCs) and sorted into classical, intermediate and non-classical subsets using fluorescence-activated cell sorting (FACS) prior to and at 6 months post-TBI. At 6 months postirradiation, monocyte polarization shifted towards lower classical (92% → 86%) and higher intermediate (7% → 12%) and non-classical monocyte subsets (0.6% → 2%) (all P < 0.05) in TBI animals compared to baseline. No change in monocyte subsets was observed in control animals. Transcriptional profiles in classical and intermediate monocyte subsets were assessed using RNAseq. Classical monocyte gene expression did not change significantly over time or differ cross-sectionally between TBI and control groups. In contrast, significant numbers of differentially expressed genes (DEGs) were detected in intermediate monocyte comparisons between the TBI animals and all animals at baseline (304 DEGs), and in the TBI versus control animals at 6 months postirradiation (67 DEGs). Intermediate monocytes also differed between baseline and 6 months in control animals (147 DEGs). Pathway analysis was used to identify genes within significant canonical pathways, yielding 52 DEGs that were specific to irradiated intermediate monocytes. These DEGs and significant canonical pathways were associated with pro-fibrotic and anti-inflammatory signaling pathways that have been noted to induce M2 macrophage polarization. These findings support the hypothesis that TBI may alter monocyte programming and polarization towards a profibrotic phenotype, providing a novel target opportunity for therapies to inhibit or prevent RIF.
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Affiliation(s)
- Kristofer T Michalson
- Department of a Pathology/Comparative Medicine, Wake Forest University School of Medicine, Winston-Salem, North Carolina
| | - Andrew N Macintyre
- d Duke Human Vaccine Institute, Duke University School of Medicine, Durham, North Carolina
| | - Gregory D Sempowski
- d Duke Human Vaccine Institute, Duke University School of Medicine, Durham, North Carolina
| | - J Daniel Bourland
- b Department of Radiation Oncology, Wake Forest University School of Medicine, Winston-Salem, North Carolina
| | - Timothy D Howard
- c Department of Biochemistry, Wake Forest University School of Medicine, Winston-Salem, North Carolina
| | - Gregory A Hawkins
- c Department of Biochemistry, Wake Forest University School of Medicine, Winston-Salem, North Carolina
| | - Gregory O Dugan
- Department of a Pathology/Comparative Medicine, Wake Forest University School of Medicine, Winston-Salem, North Carolina
| | - J Mark Cline
- Department of a Pathology/Comparative Medicine, Wake Forest University School of Medicine, Winston-Salem, North Carolina
| | - Thomas C Register
- Department of a Pathology/Comparative Medicine, Wake Forest University School of Medicine, Winston-Salem, North Carolina
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27
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Vidrascu EM, Bashore AC, Howard TD, Moore JB. Effects of early- and mid-life stress on DNA methylation of genes associated with subclinical cardiovascular disease and cognitive impairment: a systematic review. BMC Med Genet 2019; 20:39. [PMID: 30866842 PMCID: PMC6417232 DOI: 10.1186/s12881-019-0764-4] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 08/01/2018] [Accepted: 02/04/2019] [Indexed: 12/18/2022]
Abstract
Background Traditional and novel risk factors cannot sufficiently explain the differential susceptibility to cardiovascular disease (CVD). Epigenetics may serve to partially explain this residual disparity, with life course stressors shown to modify methylation of genes implicated in various diseases. Subclinical CVD is often comorbid with cognitive impairment (CI), which warrants research into the identification of common genes for both conditions. Methods We conducted a systematic review of the existing literature to identify studies depicting the relationship between life course stressors, DNA methylation, subclinical CVD, and cognition. Results A total of 16 articles (8 human and 8 animal) were identified, with the earliest published in 2008. Four genes (COMT, NOS3, Igfl1, and Sod2) were analyzed by more than one study, but not in association with both CVD and CI. One gene (NR3C1) was associated with both outcomes, albeit not within the same study. There was some consistency among studies with markers used for subclinical CVD and cognition, but considerable variability in stress exposure (especially in human studies), cell type/tissue of interest, method for detection of DNA methylation, and risk factors. Racial and ethnic differences were not considered, but analysis of sex in one human study found statistically significant differentially methylated X-linked loci associated with attention and intelligence. Conclusions This review suggests the need for additional studies to implement more comprehensive and methodologically rigorous study designs that can better identify epigenetic biomarkers to differentiate individuals vulnerable to both subclinical CVD and associated CI. Electronic supplementary material The online version of this article (10.1186/s12881-019-0764-4) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Elena M Vidrascu
- Department of Family & Community Medicine, Wake Forest School of Medicine, Winston-Salem, NC, USA.
| | - Alexander C Bashore
- Department of Internal Medicine, Wake Forest School of Medicine, Winston-Salem, NC, USA
| | - Timothy D Howard
- Department of Biochemistry, Wake Forest School of Medicine, Winston-Salem, NC, USA
| | - Justin B Moore
- Department of Family & Community Medicine, Wake Forest School of Medicine, Winston-Salem, NC, USA.,Department of Epidemiology and Prevention, Wake Forest School of Medicine, Winston-Salem, NC, USA
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28
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Chmielewski JP, Bowlby SC, Wheeler FB, Shi L, Sui G, Davis AL, Howard TD, D'Agostino RB, Miller LD, Sirintrapun SJ, Cramer SD, Kridel SJ. CD38 Inhibits Prostate Cancer Metabolism and Proliferation by Reducing Cellular NAD + Pools. Mol Cancer Res 2018; 16:1687-1700. [PMID: 30076241 DOI: 10.1158/1541-7786.mcr-17-0526] [Citation(s) in RCA: 26] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/21/2017] [Revised: 06/01/2018] [Accepted: 07/13/2018] [Indexed: 12/19/2022]
Abstract
Tumor cells require increased rates of cell metabolism to generate the macromolecules necessary to sustain proliferation. They rely heavily on NAD+ as a cofactor for multiple metabolic enzymes in anabolic and catabolic reactions. NAD+ also serves as a substrate for PARPs, sirtuins, and cyclic ADP-ribose synthases. Dysregulation of the cyclic ADP-ribose synthase CD38, the main NAD'ase in cells, is reported in multiple cancer types. This study demonstrates a novel connection between CD38, modulation of NAD+, and tumor cell metabolism in prostate cancer. CD38 expression inversely correlates with prostate cancer progression. Expressing CD38 in prostate cancer cells lowered intracellular NAD+, resulting in cell-cycle arrest and expression of p21Cip1 (CDKNA1). In parallel, CD38 diminishes glycolytic and mitochondrial metabolism, activates AMP-activated protein kinase (AMPK), and inhibits fatty acid and lipid synthesis. Pharmacologic inhibition of nicotinamide phosphoribosyltransferase (NAMPT) mimicked the metabolic consequences of CD38 expression, demonstrating similarity between CD38 expression and NAMPT inhibition. Modulation of NAD+ by CD38 also induces significant differential expression of the transcriptome, producing a gene expression signature indicative of a nonproliferative phenotype. Altogether, in the context of prostate cancer, the data establish a novel role for the CD38-NAD+ axis in the regulation of cell metabolism and development.Implications: This research establishes a mechanistic connection between CD38 and metabolic control. It also provides the foundation for the translation of agents that modulate NAD+ levels in cancer cells as therapeutics. Mol Cancer Res; 16(11); 1687-700. ©2018 AACR.
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Affiliation(s)
- Jeffrey P Chmielewski
- Department of Cancer Biology, Wake Forest School of Medicine, Winston-Salem, North Carolina
| | - Sarah C Bowlby
- Department of Cancer Biology, Wake Forest School of Medicine, Winston-Salem, North Carolina
| | - Frances B Wheeler
- Department of Cancer Biology, Wake Forest School of Medicine, Winston-Salem, North Carolina
| | - Lihong Shi
- Department of Cancer Biology, Wake Forest School of Medicine, Winston-Salem, North Carolina
| | - Guangchao Sui
- Department of Cancer Biology, Wake Forest School of Medicine, Winston-Salem, North Carolina
| | - Amanda L Davis
- Department of Cancer Biology, Wake Forest School of Medicine, Winston-Salem, North Carolina
| | - Timothy D Howard
- Department of Biochemistry, Wake Forest School of Medicine, Winston-Salem, North Carolina
| | - Ralph B D'Agostino
- Comprehensive Cancer Center at Wake Forest Baptist Medical Center, Winston-Salem, North Carolina.,Public Health Sciences-Department of Biostatistical Sciences, Wake Forest School of Medicine, Winston-Salem, North Carolina
| | - Lance D Miller
- Department of Cancer Biology, Wake Forest School of Medicine, Winston-Salem, North Carolina.,Comprehensive Cancer Center at Wake Forest Baptist Medical Center, Winston-Salem, North Carolina
| | - S Joseph Sirintrapun
- Department of Pathology, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Scott D Cramer
- Department of Pharmacology, University of Colorado Denver, Aurora, Colorado
| | - Steven J Kridel
- Department of Cancer Biology, Wake Forest School of Medicine, Winston-Salem, North Carolina. .,Comprehensive Cancer Center at Wake Forest Baptist Medical Center, Winston-Salem, North Carolina
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29
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Arcury TA, Chen H, Laurienti PJ, Howard TD, Barr DB, Mora DC, Quandt SA. Farmworker and nonfarmworker Latino immigrant men in North Carolina have high levels of specific pesticide urinary metabolites. Arch Environ Occup Health 2018; 73:219-227. [PMID: 28622109 PMCID: PMC6178806 DOI: 10.1080/19338244.2017.1342588] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/19/2016] [Accepted: 06/09/2017] [Indexed: 05/21/2023]
Abstract
This article compares detections and concentrations of specific organophosphate (OP), bis-dithiocarbamate, and pyrethroid pesticide urinary metabolites among Latino male farmworkers and nonfarmworkers in North Carolina. Data are from interviews and urine samples collected in 2012 and 2013. Farmworkers and nonfarmworkers frequently had detections for OP and pyrethroid pesticide urinary metabolites. Detection of bis-dithiocarbamate urinary metabolites was less frequent, but substantial among the nonfarmworkers. The concentrations of organophosphate, bis-dithiocarbamate, and pyrethroid pesticide urinary metabolites were high for farmworkers and nonfarmworkers compared to National Health and Nutrition Examination Survey results. Pesticide urinary metabolite detection was not associated with occupation in nonfarmworkers. Research for reducing pesticide exposure among farmworkers remains important; research is also needed to determine pesticide exposure pathways among Latino nonfarmworkers.
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Affiliation(s)
- Thomas A. Arcury
- Department of Family and Community Medicine, Wake Forest School of Medicine, Winston-Salem, North Carolina
- Center for Worker Health, Wake Forest School of Medicine, Winston-Salem, North Carolina
| | - Haiying Chen
- Center for Worker Health, Wake Forest School of Medicine, Winston-Salem, North Carolina
- Department of Biostatistical Sciences, Division of Public Health Sciences, Wake Forest School of Medicine, http://lcbn.wfubmc.edu/ Winston-Salem, North Carolina
| | - Paul J. Laurienti
- Department of Radiology, Wake Forest School of Medicine, http://lcbn.wfubmc.edu/ Winston-Salem, North Carolina
| | - Timothy D. Howard
- Center for Worker Health, Wake Forest School of Medicine, Winston-Salem, North Carolina
- Center for Genomics & Personalized Medicine Research, Wake Forest School of Medicine, Winston-Salem, North Carolina
| | - Dana Boyd Barr
- Department of Environmental and Occupational Health, Rollins School of Public Health of Emory University, Atlanta, Georgia
| | - Dana C. Mora
- Department of Family and Community Medicine, Wake Forest School of Medicine, Winston-Salem, North Carolina
- Center for Worker Health, Wake Forest School of Medicine, Winston-Salem, North Carolina
| | - Sara A. Quandt
- Center for Worker Health, Wake Forest School of Medicine, Winston-Salem, North Carolina
- Department of Epidemiology and Prevention, Division of Public Health Sciences, Wake Forest School of Medicine, http://lcbn.wfubmc.edu/ Winston-Salem, North Carolina
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Herrington DM, Mao C, Parker SJ, Fu Z, Yu G, Chen L, Venkatraman V, Fu Y, Wang Y, Howard TD, Jun G, Zhao CF, Liu Y, Saylor G, Spivia WR, Athas GB, Troxclair D, Hixson JE, Vander Heide RS, Wang Y, Van Eyk JE. Proteomic Architecture of Human Coronary and Aortic Atherosclerosis. Circulation 2018; 137:2741-2756. [PMID: 29915101 PMCID: PMC6011234 DOI: 10.1161/circulationaha.118.034365] [Citation(s) in RCA: 77] [Impact Index Per Article: 12.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/14/2018] [Accepted: 04/12/2018] [Indexed: 12/26/2022]
Abstract
BACKGOUND The inability to detect premature atherosclerosis significantly hinders implementation of personalized therapy to prevent coronary heart disease. A comprehensive understanding of arterial protein networks and how they change in early atherosclerosis could identify new biomarkers for disease detection and improved therapeutic targets. METHODS Here we describe the human arterial proteome and proteomic features strongly associated with early atherosclerosis based on mass spectrometry analysis of coronary artery and aortic specimens from 100 autopsied young adults (200 arterial specimens). Convex analysis of mixtures, differential dependent network modeling, and bioinformatic analyses defined the composition, network rewiring, and likely regulatory features of the protein networks associated with early atherosclerosis and how they vary across 2 anatomic distributions. RESULTS The data document significant differences in mitochondrial protein abundance between coronary and aortic samples (coronary>>aortic), and between atherosclerotic and normal tissues (atherosclerotic< CONCLUSIONS The human arterial proteome can be viewed as a complex network whose architectural features vary considerably as a function of anatomic location and the presence or absence of atherosclerosis. The data suggest important reductions in mitochondrial protein abundance in early atherosclerosis and also identify a subset of plasma proteins that are highly predictive of angiographically defined coronary disease.
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Affiliation(s)
- David M Herrington
- Section on Cardiovascular Medicine, Department of Internal Medicine (D.M.H., C.F.Z., G.S.)
| | - Chunhong Mao
- Biocomplexity Institute of Virginia Tech, Virginia Tech, Blacksburg (C.M.)
| | - Sarah J Parker
- Advanced Clinical Biosystems Research Institute, Cedars-Sinai Heart Institute, and Department of Medicine, Cedars-Sinai Medical Center, Los Angeles, CA (S.T.P., V.V., W.R.S., J.E.V.E.)
| | - Zongming Fu
- Johns Hopkins Medical Institute, Baltimore, MD (Z.F.)
| | - Guoqiang Yu
- Department of Electrical and Computer Engineering, Virginia Tech, Arlington (G.Y., L.C., Y.F., Yizhi Wang, Yue Wang)
| | - Lulu Chen
- Department of Electrical and Computer Engineering, Virginia Tech, Arlington (G.Y., L.C., Y.F., Yizhi Wang, Yue Wang)
| | - Vidya Venkatraman
- Advanced Clinical Biosystems Research Institute, Cedars-Sinai Heart Institute, and Department of Medicine, Cedars-Sinai Medical Center, Los Angeles, CA (S.T.P., V.V., W.R.S., J.E.V.E.)
| | - Yi Fu
- Department of Electrical and Computer Engineering, Virginia Tech, Arlington (G.Y., L.C., Y.F., Yizhi Wang, Yue Wang)
| | - Yizhi Wang
- Department of Electrical and Computer Engineering, Virginia Tech, Arlington (G.Y., L.C., Y.F., Yizhi Wang, Yue Wang)
| | | | - Goo Jun
- Department of Epidemiology, Human Genetics and Environmental Sciences, Human Genetics Center, School of Public Health, University of Texas Health Science Center at Houston (G.J., J.E.H.)
| | - Caroline F Zhao
- Section on Cardiovascular Medicine, Department of Internal Medicine (D.M.H., C.F.Z., G.S.)
| | - Yongmei Liu
- Department of Epidemiology, Division of Public Health Sciences (Y.L.), Wake Forest School of Medicine, Winston-Salem, NC
| | - Georgia Saylor
- Section on Cardiovascular Medicine, Department of Internal Medicine (D.M.H., C.F.Z., G.S.)
| | - Weston R Spivia
- Advanced Clinical Biosystems Research Institute, Cedars-Sinai Heart Institute, and Department of Medicine, Cedars-Sinai Medical Center, Los Angeles, CA (S.T.P., V.V., W.R.S., J.E.V.E.)
| | - Grace B Athas
- Department of Pathology, Louisiana State Health Science Center, New Orleans (G.B.A., D.T., R.C.V.H.)
| | - Dana Troxclair
- Department of Pathology, Louisiana State Health Science Center, New Orleans (G.B.A., D.T., R.C.V.H.)
| | - James E Hixson
- Department of Epidemiology, Human Genetics and Environmental Sciences, Human Genetics Center, School of Public Health, University of Texas Health Science Center at Houston (G.J., J.E.H.)
| | - Richard S Vander Heide
- Department of Pathology, Louisiana State Health Science Center, New Orleans (G.B.A., D.T., R.C.V.H.)
| | - Yue Wang
- Department of Electrical and Computer Engineering, Virginia Tech, Arlington (G.Y., L.C., Y.F., Yizhi Wang, Yue Wang)
| | - Jennifer E Van Eyk
- Advanced Clinical Biosystems Research Institute, Cedars-Sinai Heart Institute, and Department of Medicine, Cedars-Sinai Medical Center, Los Angeles, CA (S.T.P., V.V., W.R.S., J.E.V.E.)
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Aidukaitis BN, Labonte AC, Catalina MD, Bachali P, Rouffa S, Ainsworth HC, Marion MC, Howard TD, Langefeld CD, Lipsky PE, Grammer AC. Novel targeted therapies for African-American and European-American SLE patients identified from E-Genes elucidated by transancestral SNP mapping. The Journal of Immunology 2018. [DOI: 10.4049/jimmunol.200.supp.175.21] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/03/2023]
Abstract
Abstract
SLE is more prevalent and severe in African-American (AA) compared with European-American (EA) populations but standard-of-care drugs vary in effectiveness between these groups. To gain insight, drugs specific for E-gene containing pathways were investigated using the Immunochip transancestral SNP mapping and a curated database of SLE DE genes. SNPs proxy to SLE-associated SNPs were compared with known eQTLs contained in the GTEx database. Since GTEx contains genotype data as well as gene expression data from cell lines, tissues and whole blood from healthy individuals, an independent query of GTEx for expression of RNAs abnormally expressed in SLE patients compared to healthy individuals was carried out. The results of the eQTL and DE gene queries of GTEx were combined and eQTLs and associated E-Genes were pooled by ancestry. Drugs targeting E-genes/pathways shared by EA and AA include ibrutinib, ruxolitinib and ustekinumab. Predicted EA-specific drugs include antimalarials and cyclosporine, as well as drugs-in-development targeting CD40, CXCR1 and CXCR2; AA-specific drugs include retinoids and HDAC inhibitors. This analysis of the distinct genetic profiles of EA and AA populations indicates that unique sets of drugs may be particularly effective at treating lupus in each ancestral group.
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Rahbar E, Waits CMK, Kirby EH, Miller LR, Ainsworth HC, Cui T, Sergeant S, Howard TD, Langefeld CD, Chilton FH. Allele-specific methylation in the FADS genomic region in DNA from human saliva, CD4+ cells, and total leukocytes. Clin Epigenetics 2018; 10:46. [PMID: 29636834 PMCID: PMC5889567 DOI: 10.1186/s13148-018-0480-5] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/08/2018] [Accepted: 03/26/2018] [Indexed: 12/17/2022] Open
Abstract
Background Genetic variants within the fatty acid desaturase (FADS) gene cluster (human Chr11) are important regulators of long-chain (LC) polyunsaturated fatty acid (PUFA) biosynthesis in the liver and consequently have been associated with circulating LC-PUFA levels. More recently, epigenetic modifications such as DNA methylation, particularly within the FADS cluster, have been shown to affect LC-PUFA levels. Our lab previously demonstrated strong associations of allele-specific methylation (ASM) between a single nucleotide polymorphism (SNP) rs174537 and CpG sites across the FADS region in human liver tissues. Given that epigenetic signatures are tissue-specific, we aimed to evaluate the methylation status and ASM associations between rs174537 and DNA methylation obtained from human saliva, CD4+ cells and total leukocytes derived from whole blood. The goals were to (1) determine if DNA methylation from these peripheral samples would display similar ASM trends as previously observed in human liver tissues and (2) evaluate the associations between DNA methylation and circulating LC-PUFAs. Results DNA methylation at six CpG sites spanning FADS1 and FADS2 promoter regions and a putative FADS enhancer region were determined in two Caucasian cohorts of healthy volunteers: leukocytes in cohort 1 (n = 89, median age = 43, 35% male) and saliva and CD4+ cells in cohort 2 (n = 32, median age = 41, 41% male). Significant ASM between rs174537 and DNA methylation at three CpG sites located in the FADS2 promoter region (i.e., chr11:61594865, chr11:61594876, chr11:61594907) and one CpG site in the putative enhancer region (chr11:61587979) were observed with leukocytes. In CD4+ cells, significant ASM was observed at CpG sites chr11:61594876 and chr11:61584894. Genotype at rs174537 was significantly associated with DNA methylation from leukocytes. Similar trends were observed with CD4+ cells, but not with saliva. DNA methylation from leukocytes and CD4+ cells also significantly correlated with circulating omega-6 LC-PUFAs. Conclusions We observed significant ASM between rs174537 and DNA methylation at key regulatory regions in the FADS region from leukocyte and CD4+ cells. DNA methylation from leukocytes also correlated with circulating omega-6 LC-PUFAs. These results support the use of peripheral whole blood samples, with leukocytes showing the most promise for future nutrigenomic studies evaluating epigenetic modifications affecting LC-PUFA biosynthesis in humans.
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Affiliation(s)
- Elaheh Rahbar
- 1Department of Biomedical Engineering, Wake Forest University School of Medicine, Virginia-Tech Wake Forest School of Biomedical Engineering and Sciences, 575 N. Patterson Ave. Suite 120, Winston-Salem, NC 27101 USA.,2Virginia-Tech Wake Forest School of Biomedical Engineering and Sciences, Blacksburg, VA USA
| | - Charlotte Mae K Waits
- 1Department of Biomedical Engineering, Wake Forest University School of Medicine, Virginia-Tech Wake Forest School of Biomedical Engineering and Sciences, 575 N. Patterson Ave. Suite 120, Winston-Salem, NC 27101 USA.,2Virginia-Tech Wake Forest School of Biomedical Engineering and Sciences, Blacksburg, VA USA
| | - Edward H Kirby
- 1Department of Biomedical Engineering, Wake Forest University School of Medicine, Virginia-Tech Wake Forest School of Biomedical Engineering and Sciences, 575 N. Patterson Ave. Suite 120, Winston-Salem, NC 27101 USA.,3Department of Physiology and Pharmacology, Wake Forest School of Medicine, 575 N. Patterson Ave. Suite 310, Winston-Salem, NC 27101 USA
| | - Leslie R Miller
- 3Department of Physiology and Pharmacology, Wake Forest School of Medicine, 575 N. Patterson Ave. Suite 310, Winston-Salem, NC 27101 USA
| | - Hannah C Ainsworth
- 4Department of Biostatistical Sciences, Division of Public Health Sciences, Wake Forest School of Medicine, Medical Center Blvd/525 Vine Street, Winston-Salem, NC 27157-1063 USA
| | - Tao Cui
- 5Department of Urology, Wake Forest School of Medicine, 1 Medical Center Blvd, Winston-Salem, NC 27157 USA
| | - Susan Sergeant
- 6Department of Biochemistry, Wake Forest School of Medicine, 1 Medical Center Blvd, Winston-Salem, NC 27157 USA
| | - Timothy D Howard
- 6Department of Biochemistry, Wake Forest School of Medicine, 1 Medical Center Blvd, Winston-Salem, NC 27157 USA
| | - Carl D Langefeld
- 4Department of Biostatistical Sciences, Division of Public Health Sciences, Wake Forest School of Medicine, Medical Center Blvd/525 Vine Street, Winston-Salem, NC 27157-1063 USA
| | - Floyd H Chilton
- 3Department of Physiology and Pharmacology, Wake Forest School of Medicine, 575 N. Patterson Ave. Suite 310, Winston-Salem, NC 27101 USA
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Reynolds LM, Howard TD, Ruczinski I, Kanchan K, Seeds MC, Mathias RA, Chilton FH. Tissue-specific impact of FADS cluster variants on FADS1 and FADS2 gene expression. PLoS One 2018; 13:e0194610. [PMID: 29590160 PMCID: PMC5874031 DOI: 10.1371/journal.pone.0194610] [Citation(s) in RCA: 24] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/08/2017] [Accepted: 03/06/2018] [Indexed: 12/31/2022] Open
Abstract
Omega-6 (n-6) and omega-3 (n-3) long (≥ 20 carbon) chain polyunsaturated fatty acids (LC-PUFAs) play a critical role in human health and disease. Biosynthesis of LC-PUFAs from dietary 18 carbon PUFAs in tissues such as the liver is highly associated with genetic variation within the fatty acid desaturase (FADS) gene cluster, containing FADS1 and FADS2 that encode the rate-limiting desaturation enzymes in the LC-PUFA biosynthesis pathway. However, the molecular mechanisms by which FADS genetic variants affect LC-PUFA biosynthesis, and in which tissues, are unclear. The current study examined associations between common single nucleotide polymorphisms (SNPs) within the FADS gene cluster and FADS1 and FADS2 gene expression in 44 different human tissues (sample sizes ranging 70-361) from the Genotype-Tissue Expression (GTEx) Project. FADS1 and FADS2 expression were detected in all 44 tissues. Significant cis-eQTLs (within 1 megabase of each gene, False Discovery Rate, FDR<0.05, as defined by GTEx) were identified in 12 tissues for FADS1 gene expression and 23 tissues for FADS2 gene expression. Six tissues had significant (FDR< 0.05) eQTLs associated with both FADS1 and FADS2 (including artery, esophagus, heart, muscle, nerve, and thyroid). Interestingly, the identified eQTLs were consistently found to be associated in opposite directions for FADS1 and FADS2 expression. Taken together, findings from this study suggest common SNPs within the FADS gene cluster impact the transcription of FADS1 and FADS2 in numerous tissues and raise important questions about how the inverse expression of these two genes impact intermediate molecular (such a LC-PUFA and LC-PUFA-containing glycerolipid levels) and ultimately clinical phenotypes associated with inflammatory diseases and brain health.
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Affiliation(s)
- Lindsay M. Reynolds
- Department of Epidemiology & Prevention, Wake Forest School of Medicine, Winston-Salem, North Carolina, United States of America
| | - Timothy D. Howard
- Department of Biochemistry, Wake Forest School of Medicine, Winston-Salem, North Carolina, United States of America
| | - Ingo Ruczinski
- Division of Allergy and Clinical Immunology, Department of Medicine, Johns Hopkins University, Baltimore, Maryland, United States of America
| | - Kanika Kanchan
- Division of Allergy and Clinical Immunology, Department of Medicine, Johns Hopkins University, Baltimore, Maryland, United States of America
| | - Michael C. Seeds
- Department of Internal Medicine/Section on Molecular Medicine, Wake Forest School of Medicine, Winston-Salem, North Carolina, United States of America
| | - Rasika A. Mathias
- Division of Allergy and Clinical Immunology, Department of Medicine, Johns Hopkins University, Baltimore, Maryland, United States of America
| | - Floyd H. Chilton
- Department of Physiology and Pharmacology, Wake Forest School of Medicine, Winston-Salem, North Carolina, United States of America
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Arcury TA, Laurienti PJ, Talton JW, Chen H, Howard TD, Barr DB, Mora DC, Quandt SA. Pesticide Urinary Metabolites Among Latina Farmworkers and Nonfarmworkers in North Carolina. J Occup Environ Med 2018; 60:e63-e71. [PMID: 29023343 PMCID: PMC5758422 DOI: 10.1097/jom.0000000000001189] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Abstract
OBJECTIVES This paper compares detections and concentrations of pesticide urinary metabolites for Latina farmworkers and nonfarmworkers in North Carolina. METHODS Thirty-one farmworkers and 55 nonfarmworkers provided urine samples in 2012 and 2013. Urine samples were analyzed for detections and concentrations of organophosphate insecticide, bis-dithiocarbamate fungicide, and pyrethroid insecticide urinary metabolites. RESULTS Detections for several organophosphate and pyrethroid pesticide urinary metabolites were present for substantial proportions of the farmworkers and nonfarmworkers. Concentrations for several of these metabolites were high. Farmworkers and nonfarmworkers were similar in detections and concentrations for the pesticide urinary metabolites included in this analysis. CONCLUSIONS Participant pesticide exposure increases health risks for them and their children. Research needs to document pesticide exposure, its health effects, and ways to reduce it. Current information justifies policy development to reduce pesticide exposure in all communities.
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Affiliation(s)
- Thomas A. Arcury
- Department of Family and Community Medicine, Wake Forest School of Medicine, Winston-Salem, North Carolina
- Center for Worker Health, Wake Forest School of Medicine, Winston-Salem, North Carolina
| | - Paul J. Laurienti
- Department of Radiology, Wake Forest School of Medicine, Winston-Salem, North Carolina
| | - Jennifer W. Talton
- Department of Biostatistical Sciences, Division of Public Health Sciences, Wake Forest School of Medicine, Winston-Salem, North Carolina
| | - Haiying Chen
- Center for Worker Health, Wake Forest School of Medicine, Winston-Salem, North Carolina
- Department of Biostatistical Sciences, Division of Public Health Sciences, Wake Forest School of Medicine, Winston-Salem, North Carolina
| | - Timothy D. Howard
- Center for Worker Health, Wake Forest School of Medicine, Winston-Salem, North Carolina
- Center for Genomics & Personalized Medicine Research, Wake Forest School of Medicine, Winston-Salem, North Carolina
| | - Dana Boyd Barr
- Department of Environmental and Occupational Health, Rollins School of Public Health of Emory University, Atlanta, Georgia
| | - Dana C. Mora
- Department of Family and Community Medicine, Wake Forest School of Medicine, Winston-Salem, North Carolina
- Center for Worker Health, Wake Forest School of Medicine, Winston-Salem, North Carolina
| | - Sara A. Quandt
- Center for Worker Health, Wake Forest School of Medicine, Winston-Salem, North Carolina
- Department of Epidemiology and Prevention, Division of Public Health Sciences, Wake Forest School of Medicine, Winston-Salem, North Carolina
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McIntosh LA, Marion MC, Sudman M, Comeau ME, Becker ML, Bohnsack JF, Fingerlin TE, Griffin TA, Haas JP, Lovell DJ, Maier LA, Nigrovic PA, Prahalad S, Punaro M, Rosé CD, Wallace CA, Wise CA, Moncrieffe H, Howard TD, Langefeld CD, Thompson SD. Genome-Wide Association Meta-Analysis Reveals Novel Juvenile Idiopathic Arthritis Susceptibility Loci. Arthritis Rheumatol 2017; 69:2222-2232. [PMID: 28719732 DOI: 10.1002/art.40216] [Citation(s) in RCA: 51] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/13/2017] [Accepted: 07/13/2017] [Indexed: 12/26/2022]
Abstract
OBJECTIVE Juvenile idiopathic arthritis (JIA) is the most common childhood rheumatic disease and has a strong genomic component. To date, JIA genetic association studies have had limited sample sizes, used heterogeneous patient populations, or included only candidate regions. The aim of this study was to identify new associations between JIA patients with oligoarticular disease and those with IgM rheumatoid factor (RF)-negative polyarticular disease, which are clinically similar and the most prevalent JIA disease subtypes. METHODS Three cohorts comprising 2,751 patients with oligoarticular or RF-negative polyarticular JIA were genotyped using the Affymetrix Genome-Wide SNP Array 6.0 or the Illumina HumanCoreExome-12+ Array. Overall, 15,886 local and out-of-study controls, typed on these platforms or the Illumina HumanOmni2.5, were used for association analyses. High-quality single-nucleotide polymorphisms (SNPs) were used for imputation to 1000 Genomes prior to SNP association analysis. RESULTS Meta-analysis showed evidence of association (P < 1 × 10-6 ) at 9 regions: PRR9_LOR (P = 5.12 × 10-8 ), ILDR1_CD86 (P = 6.73 × 10-8 ), WDFY4 (P = 1.79 × 10-7 ), PTH1R (P = 1.87 × 10-7 ), RNF215 (P = 3.09 × 10-7 ), AHI1_LINC00271 (P = 3.48 × 10-7 ), JAK1 (P = 4.18 × 10-7 ), LINC00951 (P = 5.80 × 10-7 ), and HBP1 (P = 7.29 × 10-7 ). Of these, PRR9_LOR, ILDR1_CD86, RNF215, LINC00951, and HBP1 were shown, for the first time, to be autoimmune disease susceptibility loci. Furthermore, associated SNPs included cis expression quantitative trait loci for WDFY4, CCDC12, MTP18, SF3A1, AHI1, COG5, HBP1, and GPR22. CONCLUSION This study provides evidence of both unique JIA risk loci and risk loci overlapping between JIA and other autoimmune diseases. These newly associated SNPs are shown to influence gene expression, and their bounding regions tie into molecular pathways of immunologic relevance. Thus, they likely represent regions that contribute to the pathology of oligoarticular JIA and RF-negative polyarticular JIA.
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Affiliation(s)
- Laura A McIntosh
- Cincinnati Children's Hospital Medical Center and University of Cincinnati, Cincinnati, Ohio
| | - Miranda C Marion
- Wake Forest University School of Medicine, Winston-Salem, North Carolina
| | - Marc Sudman
- Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio
| | - Mary E Comeau
- Wake Forest University School of Medicine, Winston-Salem, North Carolina
| | | | | | | | | | - J Peter Haas
- German Center for Pediatric and Adolescent Rheumatology, Garmisch-Partenkirchen, Germany
| | - Daniel J Lovell
- Cincinnati Children's Hospital Medical Center and University of Cincinnati, Cincinnati, Ohio
| | - Lisa A Maier
- National Jewish Health and University of Colorado, Denver
| | - Peter A Nigrovic
- Boston Children's Hospital and Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts
| | | | - Marilynn Punaro
- Texas Scottish Rite Hospital for Children and UT Southwestern Medical Center, Dallas, Texas
| | | | - Carol A Wallace
- Seattle Children's Hospital and Research Institute, Seattle, Washington
| | - Carol A Wise
- Texas Scottish Rite Hospital for Children, McDermott Center for Human Growth and Development, and UT Southwestern Medical Center, Dallas, Texas
| | - Halima Moncrieffe
- Cincinnati Children's Hospital Medical Center and University of Cincinnati, Cincinnati, Ohio
| | | | | | - Susan D Thompson
- Cincinnati Children's Hospital Medical Center and University of Cincinnati, Cincinnati, Ohio
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Rahbar E, Ainsworth HC, Howard TD, Hawkins GA, Ruczinski I, Mathias R, Seeds MC, Sergeant S, Hixson JE, Herrington DM, Langefeld CD, Chilton FH. Uncovering the DNA methylation landscape in key regulatory regions within the FADS cluster. PLoS One 2017; 12:e0180903. [PMID: 28957329 PMCID: PMC5619705 DOI: 10.1371/journal.pone.0180903] [Citation(s) in RCA: 21] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/21/2017] [Accepted: 06/22/2017] [Indexed: 12/16/2022] Open
Abstract
Genetic variants near and within the fatty acid desaturase (FADS) cluster are associated with polyunsaturated fatty acid (PUFA) biosynthesis, levels of several disease biomarkers and risk of human disease. However, determining the functional mechanisms by which these genetic variants impact PUFA levels remains a challenge. Utilizing an Illumina 450K array, we previously reported strong allele-specific methylation (ASM) associations (p = 2.69×10−29) between a single nucleotide polymorphism (SNP) rs174537 and DNA methylation of CpG sites located in the putative enhancer region between FADS1 and FADS2, in human liver tissue. However, this array only featured 20 CpG sites within this 12kb region. To better understand the methylation landscape within this region, we conducted bisulfite sequencing of the region between FADS1 and FADS2. Liver tissues from 50 male subjects (27 European Americans, 23 African Americans) were obtained from the Pathobiological Determinants of Atherosclerosis in Youth (PDAY) study, and used to ascertain the genotype at rs174537 and methylation status across the region of interest. Associations between rs174537 genotype and methylation status of 136 CpG sites were determined. Age-adjusted linear regressions were used to assess ASM associations with rs174537 genotype. The majority of CpG sites (117 out of 136, 86%) exhibited high levels of methylation with the greatest variability observed at three key regulatory regions–the promoter regions for FADS1 and FADS2 and a putative enhancer site between the two genes. Eight CpG sites within the putative enhancer region displayed significant (FDR p <0.05) ASM associations with rs174537. These data support the concept that both genetic and epigenetic factors regulate PUFA biosynthesis, and raise fundamental questions as to how genetic variants such as rs174537 impact DNA methylation in distant regulatory regions, and ultimately the capacity of tissues to synthesize PUFAs.
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Affiliation(s)
- Elaheh Rahbar
- Department of Biomedical Engineering, Wake Forest School of Medicine, Winston-Salem, NC, United States of America
- * E-mail: (ER); (FHC)
| | - Hannah C. Ainsworth
- Department of Biostatistical Sciences, Division of Public Health Sciences, Wake Forest School of Medicine, Winston-Salem, NC, United States of America
| | - Timothy D. Howard
- Center for Genomics and Personalized Medicine Research, Wake Forest School of Medicine, Winston-Salem, NC, United States of America
| | - Gregory A. Hawkins
- Center for Genomics and Personalized Medicine Research, Wake Forest School of Medicine, Winston-Salem, NC, United States of America
| | - Ingo Ruczinski
- Department of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, United States of America
| | - Rasika Mathias
- Division of Allergy and Clinical Immunology Department of Medicine, The Johns Hopkins University, Baltimore, MD, United States of America
| | - Michael C. Seeds
- Department of Internal Medicine, Section on Molecular Medicine, Wake Forest School of Medicine, Winston-Salem, NC, United States of America
| | - Susan Sergeant
- Department of Biochemistry, Wake Forest School of Medicine, Winston-Salem, NC, United States of America
| | - James E. Hixson
- Department of Epidemiology, Human Genetics and Environmental Sciences, Human Genetics Center, School of Public Health, University of Texas Health Science Center at Houston, Houston, TX, United States of America
| | - David M. Herrington
- Department of Internal Medicine, Division of Cardiology, Wake Forest School of Medicine, Winston-Salem, NC, United States of America
| | - Carl D. Langefeld
- Department of Biostatistical Sciences, Division of Public Health Sciences, Wake Forest School of Medicine, Winston-Salem, NC, United States of America
- Center for Genomics and Personalized Medicine Research, Wake Forest School of Medicine, Winston-Salem, NC, United States of America
| | - Floyd H. Chilton
- Department of Physiology and Pharmacology, Wake Forest School of Medicine, Winston-Salem, NC, United States of America
- * E-mail: (ER); (FHC)
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Hixson JE, Jun G, Shimmin LC, Wang Y, Yu G, Mao C, Warren AS, Howard TD, Heide RSV, Van Eyk J, Wang Y, Herrington DM. Whole Exome Sequencing to Identify Genetic Variants Associated with Raised Atherosclerotic Lesions in Young Persons. Sci Rep 2017. [PMID: 28642624 PMCID: PMC5481334 DOI: 10.1038/s41598-017-04433-x] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/30/2022] Open
Abstract
We investigated the influence of genetic variants on atherosclerosis using whole exome sequencing in cases and controls from the autopsy study “Pathobiological Determinants of Atherosclerosis in Youth (PDAY)”. We identified a PDAY case group with the highest total amounts of raised lesions (n = 359) for comparisons with a control group with no detectable raised lesions (n = 626). In addition to the standard exome capture, we included genome-wide proximal promoter regions that contain sequences that regulate gene expression. Our statistical analyses included single variant analysis for common variants (MAF > 0.01) and rare variant analysis for low frequency and rare variants (MAF < 0.05). In addition, we investigated known CAD genes previously identified by meta-analysis of GWAS studies. We did not identify individual common variants that reached exome-wide significance using single variant analysis. In analysis limited to 60 CAD genes, we detected strong associations with COL4A2/COL4A1 that also previously showed associations with myocardial infarction and arterial stiffness, as well as coronary artery calcification. Likewise, rare variant analysis did not identify genes that reached exome-wide significance. Among the 60 CAD genes, the strongest association was with NBEAL1 that was also identified in gene-based analysis of whole exome sequencing for early onset myocardial infarction.
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Affiliation(s)
- James E Hixson
- Human Genetics Center, UTHealth School of Public Health, Houston, TX, 77030, USA.
| | - Goo Jun
- Human Genetics Center, UTHealth School of Public Health, Houston, TX, 77030, USA
| | - Lawrence C Shimmin
- Human Genetics Center, UTHealth School of Public Health, Houston, TX, 77030, USA
| | - Yizhi Wang
- Department of Electrical and Computer Engineering, Virginia Polytechnic Institute and State University, Arlington, VA, 22203, USA
| | - Guoqiang Yu
- Department of Electrical and Computer Engineering, Virginia Polytechnic Institute and State University, Arlington, VA, 22203, USA
| | - Chunhong Mao
- Biocomplexity Institute of Virginia Tech, Virginia Tech, Blacksburg, VA, 24061, USA
| | - Andrew S Warren
- Biocomplexity Institute of Virginia Tech, Virginia Tech, Blacksburg, VA, 24061, USA
| | - Timothy D Howard
- Center for Genomics & Personalized Medicine Research, Wake Forest School of Medicine, Winston-Salem, NC, 27157, USA
| | - Richard S Vander Heide
- Department of Pathology, Louisiana State University Health Science Center, New Orleans, LA, 70112, USA
| | - Jennifer Van Eyk
- Advanced Clinical BioSystems Research Institute, Heart Institute and Department of Medicine, Cedars-Sinai Medical Center, Los Angeles, CA, 90048, USA
| | - Yue Wang
- Department of Electrical and Computer Engineering, Virginia Polytechnic Institute and State University, Arlington, VA, 22203, USA
| | - David M Herrington
- Department of Internal Medicine, Wake Forest School of Medicine, Winston-Salem, NC, 27157, USA
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Mao C, Howard TD, Sullivan D, Fu Z, Yu G, Parker SJ, Will R, Vander Heide RS, Wang Y, Hixson J, Van Eyk J, Herrington DM. Bioinformatic Analysis of Coronary Disease Associated SNPs and Genes to Identify Proteins Potentially Involved in the Pathogenesis of Atherosclerosis. ACTA ACUST UNITED AC 2017; 2:1-12. [PMID: 29367937 DOI: 10.14302/issn.2326-0793.jpgr-17-1447] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/15/2022]
Abstract
Factors that contribute to the onset of atherosclerosis may be elucidated by bioinformatic techniques applied to multiple sources of genomic and proteomic data. The results of genome wide association studies, such as the CardioGramPlusC4D study, expression data, such as that available from expression quantitative trait loci (eQTL) databases, along with protein interaction and pathway data available in Ingenuity Pathway Analysis (IPA), constitute a substantial set of data amenable to bioinformatics analysis. This study used bioinformatic analyses of recent genome wide association data to identify a seed set of genes likely associated with atherosclerosis. The set was expanded to include protein interaction candidates to create a network of proteins possibly influencing the onset and progression of atherosclerosis. Local average connectivity (LAC), eigenvector centrality, and betweenness metrics were calculated for the interaction network to identify top gene and protein candidates for a better understanding of the atherosclerotic disease process. The top ranking genes included some known to be involved with cardiovascular disease (APOA1, APOA5, APOB, APOC1, APOC2, APOE, CDKN1A, CXCL12, SCARB1, SMARCA4 and TERT), and others that are less obvious and require further investigation (TP53, MYC, PPARG, YWHAQ, RB1, AR, ESR1, EGFR, UBC and YWHAZ). Collectively these data help define a more focused set of genes that likely play a pivotal role in the pathogenesis of atherosclerosis and are therefore natural targets for novel therapeutic interventions.
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Affiliation(s)
- Chunhong Mao
- Biocomplexity Institute of Virginia Tech, Virginia Polytechnic Institute and State University, Blacksburg, VA 24061, USA
| | - Timothy D Howard
- Center for Genomics & Personalized Medicine Research, Wake Forest School of Medicine, Winston-Salem, NC 27157, USA
| | - Dan Sullivan
- Biocomplexity Institute of Virginia Tech, Virginia Polytechnic Institute and State University, Blacksburg, VA 24061, USA
| | - Zongming Fu
- Division of Hematology, Department of Pediatrics, Johns Hopkins University, Baltimore, MD 21205, USA
| | - Guoqiang Yu
- Department of Electrical and Computer Engineering, Virginia Polytechnic Institute and State University, Arlington, VA 22203, USA
| | - Sarah J Parker
- Heart institute, Cedars-Sinai Medical Center, Los Angeles, CA 90048
| | - Rebecca Will
- Biocomplexity Institute of Virginia Tech, Virginia Polytechnic Institute and State University, Blacksburg, VA 24061, USA
| | | | - Yue Wang
- Department of Electrical and Computer Engineering, Virginia Polytechnic Institute and State University, Arlington, VA 22203, USA
| | - James Hixson
- Human Genetics Center, School of Public Health, University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Jennifer Van Eyk
- Heart institute, Cedars-Sinai Medical Center, Los Angeles, CA 90048
| | - David M Herrington
- Department of Cardiology, Wake Forest School of Medicine, Winston-Salem, NC 27157, USA
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Sandberg JC, Rodriguez G, Howard TD, Quandt SA, Arcury TA. "He Beat You in the Blood": Knowledge and Beliefs About the Transmission of Traits Among Latinos from Mexico and Central America. J Immigr Minor Health 2017; 19:170-178. [PMID: 26660317 PMCID: PMC4903094 DOI: 10.1007/s10903-015-0311-0] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/15/2023]
Abstract
Genomic literacy is becoming increasingly important. Knowledge about how Latinos from Mexico and Central America (MCA) think and speak about how traits are shared by family members is needed. Semi-structured in-depth interviews were conducted with 16 MCA Latino men and women. Interviews elicited detailed information about participant beliefs and knowledge about intergenerational trait transmission, genes and genetics. Transcripts were systematically analyzed. Most participants had familiarity with the role of genes. Knowledge about gene function was limited. Participants used "blood talk" to discuss awareness that traits are transmitted between generations and to express that blood itself plays a crucial role often, but not necessarily, in conjunction with genes or DNA to transmit traits. Health educators need to directly address potential confusion about blood's role in the transmission of traits. Culturally and linguistically appropriate materials are needed to present genetic and genomic information to MCA Latinos.
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Affiliation(s)
- Joanne C Sandberg
- Department of Family and Community Medicine, Wake Forest School of Medicine, Medical Center Boulevard, Winston-Salem, NC, 27157, USA.
| | - Guadalupe Rodriguez
- Department of Family and Community Medicine, Wake Forest School of Medicine, Medical Center Boulevard, Winston-Salem, NC, 27157, USA
| | - Timothy D Howard
- Center for Genomics and Personalized Medicine Research, Wake Forest School of Medicine, Medical Center Boulevard, Winston-Salem, NC, 27157, USA
| | - Sara A Quandt
- Division of Public Health Sciences, Department of Epidemiology and Prevention, Wake Forest School of Medicine, Medical Center Boulevard, Winston-Salem, NC, 27157, USA
| | - Thomas A Arcury
- Department of Family and Community Medicine, Wake Forest School of Medicine, Medical Center Boulevard, Winston-Salem, NC, 27157, USA
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O'Brien DP, Benedict KA, Morken NW, Heath EM, Bleecker ER, Howard TD. Automated Purification of DNA from Large Samples: A Study of Effectiveness and Labor Efficiency. ACTA ACUST UNITED AC 2016. [DOI: 10.1016/s1535-5535-04-00204-7] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/24/2022]
Abstract
Investigations into the underlying genetic contributions to human disease are transitioning from small family-based traditional linkage analyses to large population-based studies designed to identify genetic factors in more complex and common diseases that have the greatest impact on human health. These types of studies have driven the need for larger numbers of samples for analysis and more efficient and effective methods for DNA purification, especially for large samples that provide sufficient quantities of DNA for extensive analysis. The Autopure LS™ Nucleic Acid Purification Instrument, by Gentra Systems, Inc., a platform capable of high-throughput sample purification from large samples, was developed to meet the demands of these large studies. This article presents data demonstrating the equivalency of DNA purified using the Autopure LS automated instrument and the manual method based on the same purification process. In addition, we present data demonstrating the in-lab time savings realized by automating the purification process.
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Affiliation(s)
- Darin P. O'Brien
- Gentra Systems, Inc. 13355 10th Avenue N., Suite 120 Minneapolis, MN 55441
| | | | | | - Ellen M. Heath
- Gentra Systems, Inc. 13355 10th Avenue N., Suite 120 Minneapolis, MN 55441
| | - Eugene R. Bleecker
- Wake Forest University School of Medicine Center for Human Genomics Medical Center Boulevard Winston-Salem, NC 27157 T: 336.716.5700
| | - Timothy D. Howard
- Wake Forest University School of Medicine Center for Human Genomics Medical Center Boulevard Winston-Salem, NC 27157 T: 336.716.5700
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Cui T, Hester AG, Seeds MC, Rahbar E, Howard TD, Sergeant S, Chilton FH. Impact of Genetic and Epigenetic Variations Within the FADS Cluster on the Composition and Metabolism of Polyunsaturated Fatty Acids in Prostate Cancer. Prostate 2016; 76:1182-91. [PMID: 27197070 PMCID: PMC6680327 DOI: 10.1002/pros.23205] [Citation(s) in RCA: 22] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/31/2016] [Accepted: 04/27/2016] [Indexed: 12/18/2022]
Abstract
BACKGROUND In vitro and experimental animal studies have demonstrated that high levels of omega-6 (n-6) polyunsaturated fatty acids (PUFAs) and high ratios of n-6 to omega-3 (n-3) PUFAs are strongly associated with the development and progression of prostate cancer (PCA). However, epidemiological studies in humans have demonstrated inconsistent findings linking dietary PUFAs and PCA risk. We hypothesize that genetic and epigenetic variations within the fatty acid desaturase (FADS) gene cluster produce gene-diet interactions that may explain these disparate findings. This study tested the relationship of the genotype of a single nucleotide polymorphism, rs174537, and the methylation status of a CpG site, cg27386326, with PUFA composition, and markers of PUFA biosynthesis in PCA tissue. METHODS Sixty PCA specimens from patients undergoing radical prostatectomy were genotyped, pyrosequenced and quantitated for fatty acids (FAs). RESULTS Long-chain (LC)-PUFAs, such as arachidonic acid (ARA), were abundant in these specimens, with ARA accounting for 15.8% of total FAs. In addition, there was a positive association of the G allele at rs174537 with concentrations of ARA and adrenic acid and ratios of products to precursors within the n-6 PUFA pathway such that specimens from homozygous G individuals exhibited increasingly higher values as compared to specimens from heterozygous individuals and homozygous T individuals. Finally, the methylation status of cg27386326 was inversely correlated with tissue concentrations of LC-PUFAs and markers of LC-PUFA biosynthesis. CONCLUSIONS These data reveal that genetic and epigenetic variations within the FADS cluster are highly associated with LC-PUFA concentrations and LC-PUFA biosynthetic capacity in PCA tissue. They also raise the potential that gene-PUFA interactions play an important role in PCA risk and severity. Prostate 76:1182-1191, 2016. © 2016 The Authors. The Prostate published by Wiley Periodicals, Inc.
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Affiliation(s)
- Tao Cui
- Department of UrologyWake Forest School of MedicineWinston‐SalemNorth Carolina
| | - Austin G. Hester
- Department of UrologyWake Forest School of MedicineWinston‐SalemNorth Carolina
| | - Michael C. Seeds
- Department of Internal MedicineSection on Translational and Molecular MedicineWake Forest School of MedicineWinston‐SalemNorth Carolina
| | - Elaheh Rahbar
- Department of Biomedical EngineeringWake Forest School of MedicineWinston‐SalemNorth Carolina
| | - Timothy D. Howard
- Department of Internal MedicineSection on Genetics and GenomicsWake Forest School of MedicineWinston‐SalemNorth Carolina
| | - Susan Sergeant
- Department of BiochemistryWake Forest School of MedicineWinston‐SalemNorth Carolina
| | - Floyd H. Chilton
- Department of Physiology and PharmacologyWake Forest School of MedicineWinston‐SalemNorth Carolina
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Alarcón-Riquelme ME, Ziegler JT, Molineros J, Howard TD, Moreno-Estrada A, Sánchez-Rodríguez E, Ainsworth HC, Ortiz-Tello P, Comeau ME, Rasmussen A, Kelly JA, Adler A, Acevedo-Vázquez EM, Cucho-Venegas JM, García-De la Torre I, Cardiel MH, Miranda P, Catoggio LJ, Maradiaga-Ceceña M, Gaffney PM, Vyse TJ, Criswell LA, Tsao BP, Sivils KL, Bae SC, James JA, Kimberly RP, Kaufman KM, Harley JB, Esquivel-Valerio JA, Moctezuma JF, García MA, Berbotto GA, Babini AM, Scherbarth H, Toloza S, Baca V, Nath SK, Aguilar Salinas C, Orozco L, Tusié-Luna T, Zidovetzki R, Pons-Estel BA, Langefeld CD, Jacob CO. Genome-Wide Association Study in an Amerindian Ancestry Population Reveals Novel Systemic Lupus Erythematosus Risk Loci and the Role of European Admixture. Arthritis Rheumatol 2016; 68:932-43. [PMID: 26606652 DOI: 10.1002/art.39504] [Citation(s) in RCA: 112] [Impact Index Per Article: 14.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/02/2015] [Accepted: 11/03/2015] [Indexed: 12/21/2022]
Abstract
OBJECTIVE Systemic lupus erythematosus (SLE) is a chronic autoimmune disease with a strong genetic component. We undertook the present work to perform the first genome-wide association study on individuals from the Americas who are enriched for Native American heritage. METHODS We analyzed 3,710 individuals from the US and 4 countries of Latin America who were diagnosed as having SLE, and healthy controls. Samples were genotyped with HumanOmni1 BeadChip. Data on out-of-study controls genotyped with HumanOmni2.5 were also included. Statistical analyses were performed using SNPtest and SNPGWA. Data were adjusted for genomic control and false discovery rate. Imputation was performed using Impute2 and, for classic HLA alleles, HiBag. Odds ratios (ORs) and 95% confidence intervals (95% CIs) were calculated. RESULTS The IRF5-TNPO3 region showed the strongest association and largest OR for SLE (rs10488631: genomic control-adjusted P [Pgcadj ] = 2.61 × 10(-29), OR 2.12 [95% CI 1.88-2.39]), followed by HLA class II on the DQA2-DQB1 loci (rs9275572: Pgcadj = 1.11 × 10(-16), OR 1.62 [95% CI 1.46-1.80] and rs9271366: Pgcadj = 6.46 × 10(-12), OR 2.06 [95% CI 1.71-2.50]). Other known SLE loci found to be associated in this population were ITGAM, STAT4, TNIP1, NCF2, and IRAK1. We identified a novel locus on 10q24.33 (rs4917385: Pgcadj = 1.39 × 10(-8)) with an expression quantitative trait locus (eQTL) effect (Peqtl = 8.0 × 10(-37) at USMG5/miR1307), and several new suggestive loci. SLE risk loci previously identified in Europeans and Asians were corroborated. Local ancestry estimation showed that the HLA allele risk contribution is of European ancestral origin. Imputation of HLA alleles suggested that autochthonous Native American haplotypes provide protection against development of SLE. CONCLUSION Our results demonstrate that studying admixed populations provides new insights in the delineation of the genetic architecture that underlies autoimmune and complex diseases.
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Affiliation(s)
| | - Julie T Ziegler
- Wake Forest School of Medicine, Winston-Salem, North Carolina
| | | | | | - Andrés Moreno-Estrada
- Stanford University School of Medicine, Stanford, California, and Laboratorio Nacional de Genómica para la Biodiversidad, Centro de Investigación y de Estudios Avanzados del Instituto Politécnico Nacional, Irapuato, Mexico
| | | | | | - Patricia Ortiz-Tello
- Stanford University School of Medicine, Stanford, California, and Laboratorio Nacional de Genómica para la Biodiversidad, Centro de Investigación y de Estudios Avanzados del Instituto Politécnico Nacional, Irapuato, Mexico
| | - Mary E Comeau
- Wake Forest School of Medicine, Winston-Salem, North Carolina
| | | | | | - Adam Adler
- Oklahoma Medical Research Foundation, Oklahoma City
| | | | | | | | | | | | | | | | | | | | | | | | | | - Sang-Cheol Bae
- Hanyang University Hospital for Rheumatic Diseases, Seoul, Republic of Korea
| | - Judith A James
- Oklahoma Medical Research Foundation and University of Oklahoma Health Sciences Center, Oklahoma City
| | | | | | - John B Harley
- Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio
| | - Jorge A Esquivel-Valerio
- Hospital Universitario Dr. José Eleuterio González Universidad Autonoma de Nuevo León, Monterrey, Mexico
| | | | - Mercedes A García
- Hospital Interzonal General de Agudos General San Martin, La Plata, Argentina
| | | | | | - Hugo Scherbarth
- Hospital Interzonal General de Agudos Oscar E. Alende, Mar del Plata, Argentina
| | - Sergio Toloza
- Hospital Interzonal San Juan Bautista, San Fernando del Valle de Catamarca, Argentina
| | - Vicente Baca
- Hospital de Peditaria, Centro Médico Nacional Siglo XXI, Instituto Mexicano del Seguro Social, Mexico City, Mexico
| | | | - Carlos Aguilar Salinas
- Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán, Mexico City, Mexico
| | - Lorena Orozco
- Instituto Nacional de Medicina Genómica, Mexico City, Mexico
| | - Teresa Tusié-Luna
- Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán and Instituto de Investigaciones Biomédicas de la Universidad Nacional Autónoma de México, Mexico City, Mexico
| | | | | | | | - Chaim O Jacob
- University of Southern California School of Medicine, Los Angeles
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Howard TD, Hsu FC, Chen H, Quandt SA, Talton JW, Summers P, Arcury TA. Changes in DNA methylation over the growing season differ between North Carolina farmworkers and non-farmworkers. Int Arch Occup Environ Health 2016; 89:1103-10. [PMID: 27349971 DOI: 10.1007/s00420-016-1148-0] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/08/2016] [Accepted: 06/20/2016] [Indexed: 11/29/2022]
Abstract
PURPOSE The occupational risk to farmworkers, particularly chronic exposure to pesticides, is an acknowledged environmental and work-related health problem. Epigenetics has recently been shown to contribute to a number of complex diseases and traits, including measures of cognitive function and preclinical neurodegenerative disease. We sought to determine whether changes in DNA methylation existed between farmworker and non-farmworker populations and to identify the genes most likely involved in those changes. METHODS Eighty-three farmworkers and 60 non-farmworkers were selected from PACE4, a community-based, participatory research project comparing occupational exposures between immigrant Latino farmworker and non-farmworker manual workers. Measurements of DNA methylation were performed with the Infinium HumanMethylation450 BeadChip, at the beginning and end of the 2012 growing season. Bonferroni adjustment was used to identify significant findings (p = 1.03 × 10(-7), based on 485,000 tested methylation sites), although less stringent criteria (i.e., p ≤ 1 × 10(-6)) were used to identify sites of interest. Expression quantitative trait locus (eQTL) databases were used to help identify the most likely functional genes for each associated methylation site. RESULTS Methylation at 36 CpG sites, located in or near 72 genes, differed between the two groups (p ≤ 1 × 10(-6)). The difference between the two groups was generally due to an increase in methylation in the farmworkers and a slight decrease in methylation in the non-farmworkers. Enrichment was observed in several biological pathways, including those involved in the immune response, as well as growth hormone signaling, role of BRCA1 in DNA damage response, p70S6K signaling, and PI3K signaling in B lymphocytes. CONCLUSIONS We identified considerable changes in DNA methylation at 36 CpG sites over the growing season that differed between farmworkers and non-farmworkers. Dominant pathways included immune-related (HLA) processes, as well as a number of diverse biological systems. Further studies are necessary to determine which exposures or behaviors are responsible for the observed changes, and whether these changes eventually lead to disease-related phenotypes in this population.
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Affiliation(s)
- Timothy D Howard
- Center for Genomics and Personalized Medicine Research, Wake Forest School of Medicine, Medical Center Blvd, Winston-Salem, NC, 27157, USA.
| | - Fang-Chi Hsu
- Department of Biostatistical Sciences, Division of Public Health Sciences, Wake Forest School of Medicine, Medical Center Blvd, Winston-Salem, NC, 27157, USA
| | - Haiying Chen
- Department of Biostatistical Sciences, Division of Public Health Sciences, Wake Forest School of Medicine, Medical Center Blvd, Winston-Salem, NC, 27157, USA
| | - Sara A Quandt
- Department of Epidemiology and Prevention, Division of Public Health Sciences, Wake Forest School of Medicine, Medical Center Blvd, Winston-Salem, NC, 27157, USA
| | - Jennifer W Talton
- Department of Biostatistical Sciences, Division of Public Health Sciences, Wake Forest School of Medicine, Medical Center Blvd, Winston-Salem, NC, 27157, USA
| | - Phillip Summers
- Department of Family and Community Medicine, Wake Forest School of Medicine, Medical Center Blvd, Winston-Salem, NC, 27157, USA
| | - Thomas A Arcury
- Department of Family and Community Medicine, Wake Forest School of Medicine, Medical Center Blvd, Winston-Salem, NC, 27157, USA
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Arcury TA, Laurienti PJ, Talton JW, Chen H, Howard TD, Summers P, Quandt SA. Urinary Cotinine Levels Among Latino Tobacco Farmworkers in North Carolina Compared to Latinos Not Employed in Agriculture. Nicotine Tob Res 2016; 18:1517-25. [PMID: 26377519 PMCID: PMC4906261 DOI: 10.1093/ntr/ntv187] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/27/2015] [Accepted: 08/20/2015] [Indexed: 11/14/2022]
Abstract
INTRODUCTION This analysis describes urinary cotinine levels of North Carolina Latino farmworkers, compares cotinine levels of farmworkers to those of Latinos non-farmworkers, determines factors associated with farmworker cotinine levels, and determines if differences in farmworker and non-farmworker cotinine levels are associated with smoking. METHODS Data are from 63 farmworkers and 44 non-farmworkers who participated in a larger study of occupational exposures. Questionnaire data and urine samples collected in 2012 and 2013 are analyzed. RESULTS Farmworkers had urinary cotinine levels that were far greater than the non-farmworker group. Geometric mean (GM) urinary cotinine levels for farmworkers were 1808.22ng/ml in 2012, and 396.03ng/ml in 2013; corresponding GM levels for non-farmworkers were 4.68ng/ml and 9.03ng/ml. Farmworker GM cotinine levels were associated with harvesting tobacco (1242.77ng/ml vs. 471.26ng/ml; P = .0048), and working in wet shoes (1356.41ng/ml vs. 596.93ng/ml; P = .0148). Smoking did not account for cotinine level differences; the GM cotinine level for farmworkers who did not smoke was 541.31ng/ml; it was 199.40ng/ml for non-farmworkers who did smoke. CONCLUSION North Carolina farmworkers experience large nicotine doses. The long-term health effects of these doses are not known. Although procedures to reduce occupational nicotine exposure are known, no changes in work practices or in policies to protect workers have been implemented. Research on the health effects of occupational nicotine exposure must become a priority. Current knowledge of occupational transdermal nicotine exposure must be used to improve occupational safety practice and policy for tobacco workers. IMPLICATIONS This study documents the heavy burden of nicotine exposure and dose experienced by tobacco workers in North Carolina. Hundreds of thousands of farmworkers and farmers in the United States and Canada, as well as agricultural workers around the world, share this burden of nicotine exposure and dose. These results support the need to change work practices and regulations to protect workers. They also document the need to delineate the health effects of long-term exposure to high transdermal nicotine doses.
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Affiliation(s)
- Thomas A Arcury
- Department of Family and Community Medicine, Wake Forest School of Medicine, Winston-Salem, NC; Center for Worker Health, Wake Forest School of Medicine, Winston-Salem, NC;
| | - Paul J Laurienti
- Department of Radiology, Wake Forest School of Medicine, Winston-Salem, NC
| | - Jennifer W Talton
- Department of Biostatistical Sciences, Division of Public Health Sciences, Wake Forest School of Medicine, Winston-Salem, NC
| | - Haiying Chen
- Center for Worker Health, Wake Forest School of Medicine, Winston-Salem, NC; Department of Biostatistical Sciences, Division of Public Health Sciences, Wake Forest School of Medicine, Winston-Salem, NC
| | - Timothy D Howard
- Center for Worker Health, Wake Forest School of Medicine, Winston-Salem, NC; Center for Genomics and Personalized Medicine Research, Wake Forest School of Medicine, Winston-Salem, NC
| | - Phillip Summers
- Department of Family and Community Medicine, Wake Forest School of Medicine, Winston-Salem, NC; Center for Worker Health, Wake Forest School of Medicine, Winston-Salem, NC
| | - Sara A Quandt
- Center for Worker Health, Wake Forest School of Medicine, Winston-Salem, NC; Department of Epidemiology and Prevention, Division of Public Health Sciences, Wake Forest School of Medicine, Winston-Salem, NC
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Dewi FN, Wood CE, Willson CJ, Register TC, Lees CJ, Howard TD, Huang Z, Murphy SK, Tooze JA, Chou JW, Miller LD, Cline JM. Effects of Pubertal Exposure to Dietary Soy on Estrogen Receptor Activity in the Breast of Cynomolgus Macaques. Cancer Prev Res (Phila) 2016; 9:385-95. [PMID: 27006379 PMCID: PMC4932899 DOI: 10.1158/1940-6207.capr-15-0165] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/30/2015] [Accepted: 11/06/2015] [Indexed: 12/21/2022]
Abstract
Endogenous estrogens influence mammary gland development during puberty and breast cancer risk during adulthood. Early-life exposure to dietary or environmental estrogens may alter estrogen-mediated processes. Soy foods contain phytoestrogenic isoflavones (IF), which have mixed estrogen agonist/antagonist properties. Here, we evaluated mammary gland responses over time in pubertal female cynomolgus macaques fed diets containing either casein/lactalbumin (n = 12) or soy protein containing a human-equivalent dose of 120 mg IF/day (n = 17) for approximately 4.5 years spanning menarche. We assessed estrogen receptor (ER) expression and activity, promoter methylation of ERs and their downstream targets, and markers of estrogen metabolism. Expression of ERα and classical ERα response genes (TFF1, PGR, and GREB1) decreased with maturity, independent of diet. A significant inverse correlation was observed between TFF1 mRNA and methylation of CpG sites within the TFF1 promoter. Soy effects included lower ERβ expression before menarche and lower mRNA for ERα and GREB1 after menarche. Expression of GATA-3, an epithelial differentiation marker that regulates ERα-mediated transcription, was elevated before menarche and decreased after menarche in soy-fed animals. Soy did not significantly alter expression of other ER activity markers, estrogen-metabolizing enzymes, or promoter methylation for ERs or ER-regulated genes. Our results demonstrate greater ER expression and activity during the pubertal transition, supporting the idea that this life stage is a critical window for phenotypic modulation by estrogenic compounds. Pubertal soy exposure decreases mammary ERα expression after menarche and exerts subtle effects on receptor activity and mammary gland differentiation. Cancer Prev Res; 9(5); 385-95. ©2016 AACR.
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Affiliation(s)
- Fitriya N Dewi
- Department of Pathology, Section on Comparative Medicine, Wake Forest School of Medicine, Winston-Salem, North Carolina. Primate Research Center, Bogor Agricultural University, Bogor, Indonesia.
| | - Charles E Wood
- Department of Pathology, Section on Comparative Medicine, Wake Forest School of Medicine, Winston-Salem, North Carolina
| | - Cynthia J Willson
- Department of Pathology, Section on Comparative Medicine, Wake Forest School of Medicine, Winston-Salem, North Carolina
| | - Thomas C Register
- Department of Pathology, Section on Comparative Medicine, Wake Forest School of Medicine, Winston-Salem, North Carolina
| | - Cynthia J Lees
- Department of Pathology, Section on Comparative Medicine, Wake Forest School of Medicine, Winston-Salem, North Carolina
| | - Timothy D Howard
- Center for Genomics and Personalized Medicine Research, Wake Forest School of Medicine, Winston-Salem, North Carolina
| | - Zhiqing Huang
- Department of Obstetrics and Gynecology, Division of Gynecologic Oncology, Duke University School of Medicine, Durham, North Carolina
| | - Susan K Murphy
- Department of Obstetrics and Gynecology, Division of Gynecologic Oncology, Duke University School of Medicine, Durham, North Carolina
| | - Janet A Tooze
- Department of Biostatistical Sciences, Wake Forest School of Medicine, Winston-Salem, North Carolina
| | - Jeff W Chou
- Department of Biostatistical Sciences, Wake Forest School of Medicine, Winston-Salem, North Carolina
| | - Lance D Miller
- Department of Cancer Biology, Wake Forest School of Medicine, Winston-Salem, North Carolina
| | - J Mark Cline
- Department of Pathology, Section on Comparative Medicine, Wake Forest School of Medicine, Winston-Salem, North Carolina
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Ohar JA, Cheung M, Talarchek J, Howard SE, Howard TD, Hesdorffer M, Peng H, Rauscher FJ, Testa JR. Germline BAP1 Mutational Landscape of Asbestos-Exposed Malignant Mesothelioma Patients with Family History of Cancer. Cancer Res 2015; 76:206-15. [PMID: 26719535 DOI: 10.1158/0008-5472.can-15-0295] [Citation(s) in RCA: 71] [Impact Index Per Article: 7.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/30/2015] [Accepted: 09/18/2015] [Indexed: 12/21/2022]
Abstract
Heritable mutations in the BAP1 tumor suppressor gene predispose individuals to mesothelioma and other cancers. However, a large-scale assessment of germline BAP1 mutation incidence and associated clinical features in mesothelioma patients with a family history of cancer has not been reported. Therefore, we examined the germline BAP1 mutation status of 150 mesothelioma patients with a family history of cancer, 50 asbestos-exposed control individuals with a family history of cancers other than mesothelioma, and 153 asbestos-exposed individuals without familial cancer. No BAP1 alterations were found in control cohorts, but were identified in nine of 150 mesothelioma cases (6%) with a family history of cancer. Alterations among these cases were characterized by both missense and frameshift mutations, and enzymatic activity of BAP1 missense mutants was decreased compared with wild-type BAP1. Furthermore, BAP1 mutation carriers developed mesothelioma at an earlier age that was more often peritoneal than pleural (five of nine) and exhibited improved long-term survival compared to mesothelioma patients without BAP1 mutations. Moreover, many tumors harboring BAP1 germline mutations were associated with BAP1 syndrome, including mesothelioma and ocular/cutaneous melanomas, as well as renal, breast, lung, gastric, and basal cell carcinomas. Collectively, these findings suggest that mesothelioma patients presenting with a family history of cancer should be considered for BAP1 genetic testing to identify those individuals who might benefit from further screening and routine monitoring for the purpose of early detection and intervention.
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Affiliation(s)
- Jill A Ohar
- Section of Pulmonary, Critical Care, Allergy and Immunologic Diseases, Wake Forest University School of Medicine, Winston-Salem, North Caroline.
| | - Mitchell Cheung
- Cancer Biology Program, Fox Chase Cancer Center, Philadelphia, Pennsylvania
| | | | - Suzanne E Howard
- Section of Pulmonary, Critical Care, Allergy and Immunologic Diseases, Wake Forest University School of Medicine, Winston-Salem, North Caroline
| | - Timothy D Howard
- Center for Genomics and Personalized Medicine Research, Wake Forest School of Medicine, Winston-Salem, North Caroline
| | - Mary Hesdorffer
- Mesothelioma Applied Research Foundation, Alexandria, Virginia
| | - Hongzhuang Peng
- Gene Expression and Regulation Program, Wistar Institute, Philadelphia, Pennsylvania
| | - Frank J Rauscher
- Gene Expression and Regulation Program, Wistar Institute, Philadelphia, Pennsylvania
| | - Joseph R Testa
- Cancer Biology Program, Fox Chase Cancer Center, Philadelphia, Pennsylvania.
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47
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Reynolds LM, Wan M, Ding J, Taylor JR, Lohman K, Su D, Bennett BD, Porter DK, Gimple R, Pittman GS, Wang X, Howard TD, Siscovick D, Psaty BM, Shea S, Burke GL, Jacobs DR, Rich SS, Hixson JE, Stein JH, Stunnenberg H, Barr RG, Kaufman JD, Post WS, Hoeschele I, Herrington DM, Bell DA, Liu Y. DNA Methylation of the Aryl Hydrocarbon Receptor Repressor Associations With Cigarette Smoking and Subclinical Atherosclerosis. ACTA ACUST UNITED AC 2015; 8:707-16. [PMID: 26307030 DOI: 10.1161/circgenetics.115.001097] [Citation(s) in RCA: 90] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/16/2015] [Accepted: 08/06/2015] [Indexed: 12/20/2022]
Abstract
BACKGROUND Tobacco smoke contains numerous agonists of the aryl hydrocarbon receptor (AhR) pathway, and activation of the AhR pathway was shown to promote atherosclerosis in mice. Intriguingly, cigarette smoking is most strongly and robustly associated with DNA modifications to an AhR pathway gene, the AhR repressor (AHRR). We hypothesized that altered AHRR methylation in monocytes, a cell type sensitive to cigarette smoking and involved in atherogenesis, may be a part of the biological link between cigarette smoking and atherosclerosis. METHODS AND RESULTS DNA methylation profiles of AHRR in monocytes (542 CpG sites ± 150 kb of AHRR, using Illumina 450K array) were integrated with smoking habits and ultrasound-measured carotid plaque scores from 1256 participants of the Multi-Ethnic Study of Atherosclerosis (MESA). Methylation of cg05575921 significantly associated (P=6.1 × 10(-134)) with smoking status (current versus never). Novel associations between cg05575921 methylation and carotid plaque scores (P=3.1 × 10(-10)) were identified, which remained significant in current and former smokers even after adjusting for self-reported smoking habits, urinary cotinine, and well-known cardiovascular disease risk factors. This association replicated in an independent cohort using hepatic DNA (n=141). Functionally, cg05575921 was located in a predicted gene expression regulatory element (enhancer) and had methylation correlated with AHRR mRNA profiles (P=1.4 × 10(-17)) obtained from RNA sequencing conducted on a subset (n=373) of the samples. CONCLUSIONS These findings suggest that AHRR methylation may be functionally related to AHRR expression in monocytes and represents a potential biomarker of subclinical atherosclerosis in smokers.
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48
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Shashi V, Xie P, Schoch K, Goldstein DB, Howard TD, Berry MN, Schwartz CE, Cronin K, Sliwa S, Allen A, Need AC. The RBMX gene as a candidate for the Shashi X-linked intellectual disability syndrome. Clin Genet 2014; 88:386-90. [PMID: 25256757 DOI: 10.1111/cge.12511] [Citation(s) in RCA: 25] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/14/2014] [Revised: 09/19/2014] [Accepted: 09/19/2014] [Indexed: 11/29/2022]
Abstract
A novel X-linked intellectual disability (XLID) syndrome with moderate intellectual disability and distinguishing craniofacial dysmorphisms had been previously mapped to the Xq26-q27 interval. On whole exome sequencing in the large family originally reported with this disorder, we identified a 23 bp frameshift deletion in the RNA binding motif protein X-linked (RBMX) gene at Xq26 in the affected males (n = 7), one carrier female, absent in unaffected males (n = 2) and in control databases (7800 exomes). The RBMX gene has not been previously causal of human disease. We examined the genic intolerance scores for the coding regions and the non-coding regions of RBMX; the findings were indicative of RBMX being relatively intolerant to loss of function variants, a distinctive pattern seen in a subset of XLID genes. Prior expression and animal modeling studies indicate that loss of function of RBMX results in abnormal brain development. Our finding putatively adds a novel gene to the loci associated with XLID and may enable the identification of other individuals affected with this distinctive syndrome.
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Affiliation(s)
- V Shashi
- Department of Pediatrics, Division of Medical Genetics, Duke University Medical Sciences, Durham, NC, USA
| | - P Xie
- Center for Human Genome Variation, Duke University School of Medicine, Durham, NC, USA
| | - K Schoch
- Department of Pediatrics, Division of Medical Genetics, Duke University Medical Sciences, Durham, NC, USA
| | - D B Goldstein
- Center for Human Genome Variation, Duke University School of Medicine, Durham, NC, USA
| | - T D Howard
- Department of Pediatrics, Wake Forest University Health Sciences, Winston-Salem, NC, USA
| | - M N Berry
- Department of Pediatrics, Wake Forest University Health Sciences, Winston-Salem, NC, USA
| | | | - K Cronin
- Center for Human Genome Variation, Duke University School of Medicine, Durham, NC, USA
| | - S Sliwa
- Center for Human Genome Variation, Duke University School of Medicine, Durham, NC, USA
| | - A Allen
- Department of Biostatistics, Duke University Health Sciences, Durham, NC, USA
| | - A C Need
- Division of Brain Sciences, Imperial College, London, UK
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49
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Spears CR, Sandberg JC, O'Neill JL, Grzywacz JG, Howard TD, Feldman SR, Arcury TA. Recruiting underserved mothers to medical research: findings from North Carolina. J Health Care Poor Underserved 2014; 24:1801-15. [PMID: 24185171 DOI: 10.1353/hpu.2013.0157] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
Abstract
Representative samples are required for ethical, valid, and useful health research. Yet, recruiting participants, especially from historically underserved communities, can be challenging. This paper presents findings from in-depth interviews with 40 mothers about factors that might influence their willingness to participate or allow their children to participate in medical research. Saliency analysis organizes the findings. Frequent and important salient themes about research participation included concerns that it might cause participants harm, hope that participants might gain a health benefit, and recognition that time and transportation resources could limit participation. Ultimately, we propose that a theoretical model, such as the Theory of Planned Behavior (TPB), will facilitate more systematic evaluation of effective methods for recruitment and retention of participants in medical research. Future research should explore the utility of such a model for development of effective recruitment and retention strategies.
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50
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Arcury TA, Nguyen HT, Summers P, Talton JW, Holbrook LC, Walker FO, Chen H, Howard TD, Galván L, Quandt SA. Lifetime and current pesticide exposure among Latino farmworkers in comparison to other Latino immigrants. Am J Ind Med 2014; 57:776-87. [PMID: 24737498 DOI: 10.1002/ajim.22324] [Citation(s) in RCA: 29] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 03/05/2014] [Indexed: 12/13/2022]
Abstract
BACKGROUND Pesticide exposure poses a health risk for farmworkers. This analysis documents lifetime and current pesticide exposure of North Carolina Latino migrant farmworkers, with comparison to non-farmworker Latino immigrants. METHODS During May to October 2012, 235 Latino farmworkers and 212 Latino non-farmworkers completed interviews with items to construct measures of lifetime, current residential and occupational pesticide exposure. RESULTS Farmworkers experience levels of lifetime and residential pesticide exposure that are consistently greater than among non-farmworkers. Farmworkers report a large number of occupational pesticide exposures. Lifetime exposure and current residential pesticide exposure are related to social determinants. Education is inversely related to lifetime pesticide exposure for farmworkers and non-farmworkers; farmworkers with H-2A visas report greater residential pesticide exposure than those without H-2A visas. CONCLUSIONS Occupational safety policy needs to consider these patterns of lifetime exposure when setting standards. Health care providers should be aware of the lifetime and current exposure of this vulnerable population.
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Affiliation(s)
- Thomas A Arcury
- Department of Family and Community Medicine, Center for Worker Health, Wake Forest School of Medicine, Winston-Salem, North Carolina
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