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Steigerwald C, Borsuk J, Pappas J, Galey M, Scott A, Devaney JM, Miller DE, Abreu NJ. CLN2 disease resulting from a novel homozygous deep intronic splice variant in TPP1 discovered using long-read sequencing. Mol Genet Metab 2023; 140:107713. [PMID: 37922835 DOI: 10.1016/j.ymgme.2023.107713] [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] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/18/2023] [Accepted: 10/22/2023] [Indexed: 11/07/2023]
Abstract
Neuronal ceroid lipofuscinosis type 2 (CLN2) is an autosomal recessive neurodegenerative disorder with enzyme replacement therapy available. We present two siblings with a clinical diagnosis of CLN2 disease, but no identifiable TPP1 variants after standard clinical testing. Long-read sequencing identified a homozygous deep intronic variant predicted to affect splicing, confirmed by clinical DNA and RNA sequencing. This case demonstrates how traditional laboratory assays can complement emerging molecular technologies to provide a precise molecular diagnosis.
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Affiliation(s)
- Connolly Steigerwald
- Division of Neurogenetics, Department of Neurology, NYU Grossman School of Medicine, New York, NY 10016, USA
| | - Jill Borsuk
- Division of Clinical Genetics, Department of Pediatrics, NYU Grossman School of Medicine, New York, NY 10016, USA
| | - John Pappas
- Division of Clinical Genetics, Department of Pediatrics, NYU Grossman School of Medicine, New York, NY 10016, USA
| | - Miranda Galey
- Division of Genetic Medicine, Department of Pediatrics, University of Washington and Seattle Children's Hospital, Seattle, WA 98195, USA
| | - Anna Scott
- Department of Laboratory Medicine and Pathology, University of Washington, Seattle, WA 98195, USA; Department of Laboratories, Seattle Children's Hospital, Seattle, WA 08105, USA
| | | | - Danny E Miller
- Division of Genetic Medicine, Department of Pediatrics, University of Washington and Seattle Children's Hospital, Seattle, WA 98195, USA; Department of Laboratory Medicine and Pathology, University of Washington, Seattle, WA 98195, USA; Brotman Baty Institute for Precision Medicine, University of Washington, Seattle, WA 98195, USA
| | - Nicolas J Abreu
- Division of Neurogenetics, Department of Neurology, NYU Grossman School of Medicine, New York, NY 10016, USA.
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Jensen AE, Niederberger B, Jaworski R, Devaney JM, Turcotte LP, Kelly KR. TNF-α Stress Response Is Reduced Following Load Carriage Training. Mil Med 2019; 184:e256-e260. [PMID: 30124928 DOI: 10.1093/milmed/usy193] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/23/2018] [Accepted: 07/19/2018] [Indexed: 11/14/2022] Open
Affiliation(s)
- Andrew E Jensen
- Innovative Employee Solutions, 9665 Granite Ridge Road, #420, San Diego, CA.,University of Southern California, Biological Sciences, Human and Evolutionary Biology, Dornsife College of Letters, Arts and Sciences, 3616 Trousdale Parkway, AHF 247, Los Angeles, CA.,Warfighter Performance Department, Naval Health Research Center, 140 Sylvester Road, San Diego, CA
| | - Brenda Niederberger
- Warfighter Performance Department, Naval Health Research Center, 140 Sylvester Road, San Diego, CA.,Leidos, 10260 Campus Point Drive, San Diego, CA
| | - Rebecca Jaworski
- Marine Corps System Command, Marine Expeditionary Rifle Squad, 2200 Lester Street, Quantico, VA
| | - Joseph M Devaney
- Children's National Medical Center, 111 Michigan Avenue NW, Center for Genetic Medicine Research, Rm. 5700, Washington, DC
| | - Lorraine P Turcotte
- University of Southern California, Biological Sciences, Human and Evolutionary Biology, Dornsife College of Letters, Arts and Sciences, 3616 Trousdale Parkway, AHF 247, Los Angeles, CA
| | - Karen R Kelly
- Warfighter Performance Department, Naval Health Research Center, 140 Sylvester Road, San Diego, CA
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3
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Lee HH, Angelopoulos TJ, Gordon PM, Moyna NM, Visich PS, Zoeller RF, Gordish-Dressman H, Thompson PD, Hoffman EP, Devaney JM, Pescatello LS. Muscle Size and Strengths and their Associations with Sports Participation among Young Adults. Med Sci Sports Exerc 2018. [DOI: 10.1249/01.mss.0000535457.82076.54] [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: 11/21/2022]
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4
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Ferreira CR, Devaney JM, Hofherr SE, Pollard LM, Cusmano-Ozog K. Hereditary fructose intolerance mimicking a biochemical phenotype of mucolipidosis: A review of the literature of secondary causes of lysosomal enzyme activity elevation in serum. Am J Med Genet A 2017; 173:501-509. [PMID: 27797444 PMCID: PMC10506159 DOI: 10.1002/ajmg.a.38023] [Citation(s) in RCA: 8] [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: 01/13/2016] [Accepted: 09/29/2016] [Indexed: 11/08/2022]
Abstract
We describe a patient with failure to thrive, hepatomegaly, liver dysfunction, and elevation of multiple plasma lysosomal enzyme activities mimicking mucolipidosis II or III, in whom a diagnosis of hereditary fructose intolerance (HFI) was ultimately obtained. She presented before introduction of solid foods, given her consumption of a fructose-containing infant formula. We present the most extensive panel of lysosomal enzyme activities reported to date in a patient with HFI, and propose that multiple enzyme elevations in plasma, especially when in conjunction with a normal plasma α-mannosidase activity, should elicit a differential diagnosis of HFI. We also performed a review of the literature on the different etiologies of elevated lysosomal enzyme activities in serum or plasma. © 2016 Wiley Periodicals, Inc.
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Affiliation(s)
- Carlos R. Ferreira
- National Human Genome Research Institute, National Institutes of Health, Bethesda, Maryland
- Division of Genetics and Metabolism, Children’s National Health System, Washington, District Of Columbia
| | - Joseph M. Devaney
- Division of Laboratory Medicine, Children’s National Health System, Washington, District Of Columbia
| | - Sean E. Hofherr
- Division of Laboratory Medicine, Children’s National Health System, Washington, District Of Columbia
| | - Laura M. Pollard
- Biochemical Genetics Laboratory, Greenwood Genetic Center, Greenwood, South Carolina
| | - Kristina Cusmano-Ozog
- Division of Genetics and Metabolism, Children’s National Health System, Washington, District Of Columbia
- Division of Laboratory Medicine, Children’s National Health System, Washington, District Of Columbia
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5
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Many GM, Kendrick Z, Deschamps CL, Sprouse C, Tosi LL, Devaney JM, Gordish-Dressman H, Barfield W, Hoffman EP, Houmard JA, Pescatello LS, Vogel HJ, Shearer J, Hittel DS. Genetic characterization of physical activity behaviours in university students enrolled in kinesiology degree programs. Appl Physiol Nutr Metab 2016; 42:278-284. [PMID: 28177749 DOI: 10.1139/apnm-2016-0441] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/25/2022]
Abstract
Studies of physical activity behaviours have increasingly shown the importance of heritable factors such as genetic variation. Nonsynonymous polymorphisms of alpha-actinin 3 (ACTN3) and the β-adrenergic receptors 1 and 3 (ADRB1 and ADRB3) have been previously associated with exercise capacity and cardiometabolic health. We thus hypothesized that these polymorphisms are also related to physical activity behaviours in young adults. To test this hypothesis we examined relationships between ACTN3 (R577X), ARDB1 (Arg389Gly), ADRB3 (Trp64Arg), and physical activity behaviours in university students. We stratified for student enrollment in kinesiology degree programs compared with nonmajors as we previously found this to be a predictor of physical activity. We did not identify novel associations between physical activity and ACTN3. However, the minor alleles of ADRB1 and ADRB3 were significantly underrepresented in kinesiology students compared with nonmajors. Furthermore, carriers of the ADRB1 minor allele reported reduced participation in moderate physical activity and increased afternoon fatigue compared with ancestral allele homozygotes. Together, these findings suggest that the heritability of physical activity behaviours in young adults may be linked to nonsynonymous polymorphisms within β-adrenergic receptors.
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Affiliation(s)
- Gina M Many
- a Genetic Medicine, Children's National Medical Center, Washington, DC, USA.,f Departments of Cell, Developmental, and Integrative Biology, University of Alabama at Birmingham (UAB), Birmingham, AL, USA
| | - Zachary Kendrick
- a Genetic Medicine, Children's National Medical Center, Washington, DC, USA
| | | | - Courtney Sprouse
- a Genetic Medicine, Children's National Medical Center, Washington, DC, USA
| | - Laura L Tosi
- a Genetic Medicine, Children's National Medical Center, Washington, DC, USA
| | - Joseph M Devaney
- a Genetic Medicine, Children's National Medical Center, Washington, DC, USA
| | | | - Whitney Barfield
- a Genetic Medicine, Children's National Medical Center, Washington, DC, USA
| | - Eric P Hoffman
- a Genetic Medicine, Children's National Medical Center, Washington, DC, USA
| | - Joseph A Houmard
- c Department of Kinesiology, East Carolina University, Greenville, NC, USA
| | | | - Hans J Vogel
- e Cumming School of Medicine, University of Calgary, Calgary, AB, Canada
| | - Jane Shearer
- b Faculty of Kinesiology, University of Calgary, Calgary, AB, Canada.,e Cumming School of Medicine, University of Calgary, Calgary, AB, Canada
| | - Dustin S Hittel
- e Cumming School of Medicine, University of Calgary, Calgary, AB, Canada
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6
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Ash GI, Kostek MA, Lee H, Angelopoulos TJ, Clarkson PM, Gordon PM, Moyna NM, Visich PS, Zoeller RF, Price TB, Devaney JM, Gordish-Dressman H, Thompson PD, Hoffman EP, Pescatello LS. Glucocorticoid Receptor (NR3C1) Variants Associate with the Muscle Strength and Size Response to Resistance Training. PLoS One 2016; 11:e0148112. [PMID: 26821164 PMCID: PMC4731199 DOI: 10.1371/journal.pone.0148112] [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] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/13/2014] [Accepted: 01/13/2016] [Indexed: 11/18/2022] Open
Abstract
Glucocorticoid receptor (NR3C1) polymorphisms associate with obesity, muscle strength, and cortisol sensitivity. We examined associations among four NR3C1 polymorphisms and the muscle response to resistance training (RT). European-American adults (n = 602, 23.8±0.4yr) completed a 12 week unilateral arm RT program. Maximum voluntary contraction (MVC) assessed isometric strength (kg) and MRI assessed biceps size (cm2) pre- and post-resistance training. Subjects were genotyped for NR3C1 -2722G>A, -1887G>A, -1017T>C, and +363A>G. Men carrying the -2722G allele gained less relative MVC (17.3±1.2vs33.5±6.1%) (p = 0.010) than AA homozygotes; men with -1887GG gained greater relative MVC than A allele carriers (19.6±1.4vs13.2±2.3%) (p = 0.016). Women carrying the -1017T allele gained greater relative size (18.7±0.5vs16.1±0.9%) (p = 0.016) than CC homozygotes. We found sex-specific NR3C1 associations with the muscle strength and size response to RT. Future studies should investigate whether these associations are partially explained by cortisol's actions in muscle tissue as they interact with sex differences in cortisol production.
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Affiliation(s)
- Garrett I. Ash
- Department of Kinesiology and Human Performance Laboratory, University of Connecticut, Storrs, Connecticut, United States of America
- * E-mail:
| | - Matthew A. Kostek
- Department of Kinesiology and Human Performance Laboratory, University of Connecticut, Storrs, Connecticut, United States of America
| | - Harold Lee
- Department of Behavioral and Social Sciences, Brown University School of Public Health, Providence, Rhode Island, United States of America
| | | | - Priscilla M. Clarkson
- Department of Kinesiology, University of Massachusetts, Amherst, Massachusetts, United States of America
| | - Paul M. Gordon
- Department of Health, Human Performance and Recreation, Baylor University, Waco, Texas, United States of America
| | - Niall M. Moyna
- School of Health and Human Performance, Dublin City University, Dublin, Ireland
| | - Paul S. Visich
- Exercise and Sport Performance Department, University of New England, Biddeford, Maine, United States of America
| | - Robert F. Zoeller
- Department of Exercise Science and Health Promotion, Florida Atlantic University, Boca Raton, Florida, United States of America
| | - Thomas B. Price
- Department of Health Sciences, University of Bridgeport, Bridgeport, Connecticut, United States of America
| | - Joseph M. Devaney
- Center for Genetic Medicine Research, Children's National Medical Center, Washington, District of Columbia, United States of America
| | - Heather Gordish-Dressman
- Center for Genetic Medicine Research, Children's National Medical Center, Washington, District of Columbia, United States of America
| | - Paul D. Thompson
- Division of Cardiology, Henry Low Heart Center, Hartford Hospital, Hartford, Connecticut, United States of America
| | - Eric P. Hoffman
- Center for Genetic Medicine Research, Children's National Medical Center, Washington, District of Columbia, United States of America
| | - Linda S. Pescatello
- Department of Kinesiology and Human Performance Laboratory, University of Connecticut, Storrs, Connecticut, United States of America
- Institute for Systems Genomics, University of Connecticut, Storrs, Connecticut, United States of America
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7
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Franklin AL, Said M, Cappiello CD, Gordish-Dressman H, Tatari-Calderone Z, Vukmanovic S, Rais-Bahrami K, Luban NLC, Devaney JM, Sandler AD. Are Immune Modulating Single Nucleotide Polymorphisms Associated with Necrotizing Enterocolitis? Sci Rep 2015; 5:18369. [PMID: 26670709 PMCID: PMC4680983 DOI: 10.1038/srep18369] [Citation(s) in RCA: 17] [Impact Index Per Article: 1.9] [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: 07/01/2015] [Accepted: 11/16/2015] [Indexed: 01/01/2023] Open
Abstract
Necrotizing enterocolitis (NEC) is a devastating gastrointestinal emergency. The purpose of this study is to determine if functional single nucleotide polymorphisms (SNPs) in immune-modulating genes pre-dispose infants to NEC. After Institutional Review Board approval and parental consent, buccal swabs were collected for DNA extraction. TaqMan allelic discrimination assays and BglII endonuclease digestion were used to genotype specific inflammatory cytokines and TRIM21. Statistical analysis was completed using logistic regression. 184 neonates were analyzed in the study. Caucasian neonates with IL-6 (rs1800795) were over 6 times more likely to have NEC (p = 0.013; OR = 6.61, 95% CI 1.48–29.39), and over 7 times more likely to have Stage III disease (p = 0.011; OR = 7.13, (95% CI 1.56–32.52). Neonates with TGFβ-1 (rs2241712) had a decreased incidence of NEC-related perforation (p = 0.044; OR = 0.28, 95% CI: 0.08–0.97) and an increased incidence of mortality (p = 0.049; OR = 2.99, 95% CI: 1.01 – 8.86). TRIM21 (rs660) was associated with NEC-related intestinal perforation (p = 0.038; OR = 4.65, 95% CI 1.09–19.78). In premature Caucasian neonates, the functional SNP IL-6 (rs1800795) is associated with both the development and increased severity of NEC. TRIM21 (rs660) and TGFβ-1 (rs2241712) were associated with NEC- related perforation in all neonates in the cohort. These findings suggest a possible genetic role in the development of NEC.
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Affiliation(s)
- Ashanti L Franklin
- Division of General and Thoracic Surgery, Children's National Health System, 111 Michigan Ave NW, Washington, DC 20010
| | - Mariam Said
- Division of Neonatology, Children's National Health System, Washington, DC, Department of Pediatrics, The George Washington School of Medicine and Health Sciences, 111 Michigan Ave NW, Washington, DC 20010
| | - Clint D Cappiello
- Division of General and Thoracic Surgery, Children's National Health System, 111 Michigan Ave NW, Washington, DC 20010
| | - Heather Gordish-Dressman
- Children's Research Institute, Children's National Health System, Washington, DC, Department of Pediatrics, The George Washington School of Medicine and Health Sciences, 111 Michigan Ave NW, Washington, DC 20010
| | - Zohreh Tatari-Calderone
- Sheikh Zayed Institute, Children's National Health System, Washington, DC, Department of Pediatrics, The George Washington School of Medicine and Health Sciences, 111 Michigan Ave NW, Washington, DC 20010
| | - Stanislav Vukmanovic
- Sheikh Zayed Institute, Children's National Health System, Washington, DC, Department of Pediatrics, The George Washington School of Medicine and Health Sciences, 111 Michigan Ave NW, Washington, DC 20010
| | - Khodayar Rais-Bahrami
- Division of Neonatology, Children's National Health System, Washington, DC, Department of Pediatrics, The George Washington School of Medicine and Health Sciences, 111 Michigan Ave NW, Washington, DC 20010
| | - Naomi L C Luban
- Department Laboratory Medicine, Children's National Health System Washington, DC, Department of Pediatrics, The George Washington School of Medicine and Health Sciences, 111 Michigan Ave NW, Washington, DC 20010
| | - Joseph M Devaney
- Department of Genetic Medicine, Children's National Health System, 111 Michigan Ave NW, Washington, DC 20010
| | - Anthony D Sandler
- Division of General and Thoracic Surgery, Children's National Health System, Washington, DC, Department of Pediatrics, The George Washington School of Medicine and Health Sciences, 111 Michigan Ave NW, Washington, DC 20010
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8
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Lee H, Ash GI, Angelopoulos TJ, Gordon PM, Moyna NM, Visich PS, Zoeller RF, Gordish-Dressman H, Deshpande V, Chen MH, Thompson PD, Hoffman EP, Devaney JM, Pescatello LS. Obesity-Related Genetic Variants and their Associations with Physical Activity. Sports Med Open 2015; 1:34. [PMID: 26495240 PMCID: PMC4607705 DOI: 10.1186/s40798-015-0036-6] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 09/21/2015] [Accepted: 09/21/2015] [Indexed: 12/31/2022]
Abstract
BACKGROUND Meta-analysis of genome-wide association studies identified obesity-related genetic variants. Due to the pleiotropic effects of related phenotypes, we tested six of these obesity-related genetic variants for their association with physical activity: fat mass and obesity-associated (FTO)(rs9939609)T>A, potassium channel tetramerization domain containing (KCTD15) (rs11084753)G>A, melanocortin receptor4 (MC4R)(rs17782313)T>C, neuronal growth regulator 1 (NEGR1)(rs2815752)A>G, SH2B adapter protein 1 (SH2B1)(rs7498665)A>G, and transmembrane protein18 (TMEM18)(rs6548238)C>T. METHOD European-American women (n = 263) and men (n = 229) (23.5 ± 0.3 years, 24.6 ± 0.2 kg/m2) were genotyped and completed the Paffenbarger physical activity Questionnaire. Physical activity volume in metabolic energy equivalents [MET]-hour/week was derived from the summed time spent (hour/week) times the given MET value for vigorous, moderate, and light intensity physical activity, and sitting and sleeping, respectively. Multivariable adjusted [(age, sex, and body mass index (BMI)] linear regression tested associations among genotype (dominant/recessive model) and the log of physical activity volume. RESULT MC4R (rs17782313)T>C explained 1.1 % (p = 0.02), TMEM18(rs6548238)C>T 1.2 % (p = 0.01), and SH2B1 (rs7498665)A>G 0.6 % (p = 0.08) of the variability in physical activity volume. Subjects with the MC4R C allele spent 3.5 % less MET-hour/week than those with the TT genotype (p = 0.02). Subjects with the TMEM18 T allele spent 4.1 % less MET-hour/week than those with the CC genotype (p = 0.01). Finally, subjects with the SH2B1 GG genotype spent 3.6 % less MET-hour/week than A allele carriers (p = 0.08). CONCLUSION Our findings suggest a shared genetic influence among some obesity-related gene loci and physical activity phenotypes that should be explored further. Physical activity volume differences by genotype have public health importance equating to 11-13 lb weight difference annually.
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Affiliation(s)
- Harold Lee
- Department of Behavioral and Social Sciences, Brown University School of Public Health, Box G-S121-2, Providence, RI 02912 USA
| | - Garrett I. Ash
- Department of Kinesiology, University of Connecticut, Storrs, CT 06269 USA
| | | | - Paul M. Gordon
- Department of Health, Human Performance and Recreation, Baylor University, Waco, TX 76798 USA
| | - Niall M. Moyna
- Department of Sport Science and Health, Dublin City University, Dublin, 7008802 Ireland
| | - Paul S. Visich
- Exercise & Sport Performance, University of New England, Biddeford, ME 04005 USA
| | - Robert F. Zoeller
- Department of Exercise Science and Health Promotion, Florida Atlantic University, Boca Raton, FL 33431 USA
| | - Heather Gordish-Dressman
- Research Center for Genetic Medicine, Children’s National Medical Center, Washington, DC 20010 USA
| | - Ved Deshpande
- Department of Statistics, University of Connecticut, Storrs, CT 06269 USA
| | - Ming-Hui Chen
- Department of Statistics, University of Connecticut, Storrs, CT 06269 USA
| | - Paul D. Thompson
- Division of Cardiology, Henry Low Heart Center, Hartford Hospital, Hartford, CT 06102 USA
| | - Eric P. Hoffman
- Research Center for Genetic Medicine, Children’s National Medical Center, Washington, DC 20010 USA
| | - Joseph M. Devaney
- Research Center for Genetic Medicine, Children’s National Medical Center, Washington, DC 20010 USA
| | - Linda S. Pescatello
- Department of Kinesiology, University of Connecticut, Storrs, CT 06269 USA
- Institute for Systems Genomics, University of Connecticut, Storrs, CT 06269 USA
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Ho CY, Mobley BC, Gordish-Dressman H, VandenBussche CJ, Mason GE, Bornhorst M, Esbenshade AJ, Tehrani M, Orr BA, LaFrance DR, Devaney JM, Meltzer BW, Hofherr SE, Burger PC, Packer RJ, Rodriguez FJ. A clinicopathologic study of diencephalic pediatric low-grade gliomas with BRAF V600 mutation. Acta Neuropathol 2015; 130:575-85. [PMID: 26264609 DOI: 10.1007/s00401-015-1467-3] [Citation(s) in RCA: 30] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/29/2015] [Revised: 07/31/2015] [Accepted: 08/02/2015] [Indexed: 10/23/2022]
Abstract
Among brain tumors, the BRAF (V600E) mutation is frequently associated with pleomorphic xanthoastrocytomas (PXAs) and gangliogliomas (GGs). This oncogenic mutation is also detected in ~5 % of other pediatric low-grade gliomas (LGGs) including pilocytic astrocytomas (PAs) and diffuse astrocytomas. In the current multi-institutional study of 56 non-PXA/non-GG diencephalic pediatric LGGs, the BRAF (V600) mutation rate is 36 %. V600-mutant tumors demonstrate a predilection for infants and young children (<age 3) and have a higher tendency for multicentricity. On neuroimaging, BRAF (V600)-mutant tumors appear as nodular, yet infiltrative contrast-enhancing masses. Morphologic examination reveals a monophasic, predominantly compact and partially infiltrative architecture. Due to the lack of classic morphologic features associated with PAs, pilomyxoid astrocytomas (PMAs), or diffuse astrocytomas, 75 % of the BRAF (V600)-mutant tumors could not be definitively classified on initial histopathologic evaluation. At a median follow-up of 55 months, the 5-year progression-free survival (PFS) rate for BRAF (V600)-mutant diencephalic low-grade astrocytomas (LGAs) was 22 ± 12 %, shorter than BRAF (V600)-WT PAs (52 ± 13 %) but higher than PMAs (10 ± 6 %). Of note, long-term PFS was observed in several adolescent patients with BRAF (V600)-mutant tumors. In children aged 0-12 years, 5-year PFS rate and median PFS in BRAF (V600)-mutant LGAs are 9 ± 9 % and 19 months (95 % CI 3-37 months), respectively. The PFS is comparable to that in BRAF (V600)-WT PMAs (5-year PFS rate: 10 ± 9 %; median PFS: 15 months, 95 % CI 3-32 months; p = 0.96) and significantly shorter than BRAF (V600)-WT PAs (5-year PFS rate: 46 ± 13 %; median PFS: 51 months, 95 % CI 20-∞ months; p < 0.05). In summary, diencephalic BRAF (V600)-mutant pediatric LGAs are associated with unique clinicopathologic features and have a more aggressive clinical course, especially in children under age 13. The low rate of CDKN2A deletion also suggests that these tumors are molecularly distinct from secondary pediatric high-grade gliomas.
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10
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Sprouse C, Tosi LL, Gordish-Dressman H, Abdel-Ghani MS, Panchapakesan K, Niederberger B, Devaney JM, Kelly KR. CK-MM Polymorphism is Associated With Physical Fitness Test Scores in Military Recruits. Mil Med 2015; 180:1001-5. [PMID: 26327553 DOI: 10.7205/milmed-d-14-00331] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022] Open
Abstract
OBJECTIVE Muscle-specific creatine kinase is thought to play an integral role in maintaining energy homeostasis by providing a supply of creatine phosphate. The genetic variant, rs8111989, contributes to individual differences in physical performance, and thus the purpose of this study was to determine if rs8111989 variant is predictive of Physical Fitness Test (PFT) scores in male, military infantry recruits. METHODS DNA was extracted from whole blood, and genotyping was performed in 176 Marines. Relationships between PFT measures (run, sit-ups, and pull-ups) and genotype were determined. RESULTS Participants with 2 copies of the T allele for rs8111989 variant had higher PFT scores for run time, pull-ups, and total PFT score. Specifically, participants with 2 copies of the TT allele (variant) (n = 97) demonstrated an overall higher total PFT score as compared with those with one copy of the C allele (n = 79) (TT: 250 ± 31 vs. CC/CT 238 ± 31; p = 0.02), run score (TT: 82 ± 10 vs. CC/CT 78 ± 11; p = 0.04) and pull-up score (TT: 78 ± 11 vs. CC/CT 65 ± 21; p = 0.04) or those with the CC/CT genotype. CONCLUSION These results demonstrate an association between physical performance measures and genetic variation in the muscle-specific creatine kinase gene (rs8111989).
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Affiliation(s)
- Courtney Sprouse
- Children's National Medical Center, 111 Michigan Avenue NW, Center for Genetic Medicine Research, Room 5700, Washington, DC 20010
| | - Laura L Tosi
- School of Medicine and Health Sciences, 2121 I Street NW, George Washington University, Washington, DC 20052
| | - Heather Gordish-Dressman
- Children's National Medical Center, 111 Michigan Avenue NW, Center for Genetic Medicine Research, Room 5700, Washington, DC 20010
| | - Mai S Abdel-Ghani
- Children's National Medical Center, 111 Michigan Avenue NW, Center for Genetic Medicine Research, Room 5700, Washington, DC 20010
| | - Karuna Panchapakesan
- Children's National Medical Center, 111 Michigan Avenue NW, Center for Genetic Medicine Research, Room 5700, Washington, DC 20010
| | - Brenda Niederberger
- Warfighter Performance Department, Naval Health Research Center, 140 Sylvester Road, San Diego, CA 92106
| | - Joseph M Devaney
- Children's National Medical Center, 111 Michigan Avenue NW, Center for Genetic Medicine Research, Room 5700, Washington, DC 20010
| | - Karen R Kelly
- Warfighter Performance Department, Naval Health Research Center, 140 Sylvester Road, San Diego, CA 92106
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11
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Deschamps CL, Connors KE, Klein MS, Johnsen VL, Shearer J, Vogel HJ, Devaney JM, Gordish-Dressman H, Many GM, Barfield W, Hoffman EP, Kraus WE, Hittel DS. The ACTN3 R577X Polymorphism Is Associated with Cardiometabolic Fitness in Healthy Young Adults. PLoS One 2015; 10:e0130644. [PMID: 26107372 PMCID: PMC4480966 DOI: 10.1371/journal.pone.0130644] [Citation(s) in RCA: 24] [Impact Index Per Article: 2.7] [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: 03/25/2015] [Accepted: 05/21/2015] [Indexed: 12/03/2022] Open
Abstract
Homozygosity for a premature stop codon (X) in the ACTN3 “sprinter” gene is common in humans despite the fact that it reduces muscle size, strength and power. Because of the close relationship between skeletal muscle function and cardiometabolic health we examined the influence of ACTN3 R577X polymorphism over cardiovascular and metabolic characteristics of young adults (n = 98 males, n = 102 females; 23 ± 4.2 years) from our Assessing Inherent Markers for Metabolic syndrome in the Young (AIMMY) study. Both males and females with the RR vs XX genotype achieved higher mean VO2 peak scores (47.8 ± 1.5 vs 43.2 ±1.8 ml/O2/min, p = 0.002) and exhibited higher resting systolic (115 ± 2 vs 105 ± mmHg, p = 0.027) and diastolic (69 ± 3 vs 59 ± 3 mmHg, p = 0.005) blood pressure suggesting a role for ACTN3 in the maintenance of vascular tone. We subsequently identified the expression of alpha-actinin 3 protein in pulmonary artery smooth muscle, which may explain the genotype-specific differences in cardiovascular adaptation to acute exercise. In addition, we utilized targeted serum metabolomics to distinguish between RR and XX genotypes, suggesting an additional role for the ACTN3 R577X polymorphism in human metabolism. Taken together, these results identify significant cardiometabolic effects associated with possessing one or more functional copies of the ACTN3 gene.
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Affiliation(s)
- Chelsea L. Deschamps
- Faculty of Kinesiology, University of Calgary, 2500 University Drive, Calgary, Alberta, T2N 1N4, Canada
| | - Kimberly E. Connors
- Faculty of Kinesiology, University of Calgary, 2500 University Drive, Calgary, Alberta, T2N 1N4, Canada
| | - Matthias S. Klein
- Faculty of Kinesiology, University of Calgary, 2500 University Drive, Calgary, Alberta, T2N 1N4, Canada
| | - Virginia L. Johnsen
- Faculty of Kinesiology, University of Calgary, 2500 University Drive, Calgary, Alberta, T2N 1N4, Canada
| | - Jane Shearer
- Department of Biochemistry and Molecular Biology, Cumming School of Medicine, University of Calgary, 2500 University Drive, Calgary, Alberta, T2N 1N4, Canada
- Faculty of Kinesiology, University of Calgary, 2500 University Drive, Calgary, Alberta, T2N 1N4, Canada
| | - Hans J. Vogel
- Department of Biochemistry and Molecular Biology, Cumming School of Medicine, University of Calgary, 2500 University Drive, Calgary, Alberta, T2N 1N4, Canada
| | - Joseph M. Devaney
- Children’s National Medical Center, 111 Michigan Ave NW, Washington DC, United States of America
| | - Heather Gordish-Dressman
- Children’s National Medical Center, 111 Michigan Ave NW, Washington DC, United States of America
| | - Gina M. Many
- Children’s National Medical Center, 111 Michigan Ave NW, Washington DC, United States of America
| | - Whitney Barfield
- Children’s National Medical Center, 111 Michigan Ave NW, Washington DC, United States of America
| | - Eric P. Hoffman
- Children’s National Medical Center, 111 Michigan Ave NW, Washington DC, United States of America
| | - William E. Kraus
- Duke University, 304 Research Drive, Durham, NC, United States of America
| | - Dustin S. Hittel
- Department of Biochemistry and Molecular Biology, Cumming School of Medicine, University of Calgary, 2500 University Drive, Calgary, Alberta, T2N 1N4, Canada
- * E-mail:
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12
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Suh HG, Ash GI, Kostek MA, Angelopoulos TJ, Clarkson PM, Gordon PM, Moyna NM, Visich PS, Zoeller RF, Price TB, Devaney JM, Gordish-Dressman H, Hoffman EP, Thompson PD, Pescatello LS. Apolipoprotein E Genotype And The Muscle Size And Strength Response To Resistance Training. Med Sci Sports Exerc 2015. [DOI: 10.1249/01.mss.0000476621.13489.fd] [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: 11/21/2022]
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13
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Lee H, Ash GI, Angelopoulos TJ, Gordon PM, Moyna NM, Visich PS, Zoeller RF, Gordish-Dressman H, Thompson PD, Hoffman EP, Devaney JM, Pescatello LS. Obesity-related Genetic Variants And Their Associations With Physical Activity. Med Sci Sports Exerc 2015. [DOI: 10.1249/01.mss.0000476618.67747.71] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]
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14
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Devaney JM, Wang S, Furbert-Harris P, Apprey V, Ittmann M, Wang BD, Olender J, Lee NH, Kwabi-Addo B. Genome-wide differentially methylated genes in prostate cancer tissues from African-American and Caucasian men. Epigenetics 2015; 10:319-28. [PMID: 25864488 DOI: 10.1080/15592294.2015.1022019] [Citation(s) in RCA: 31] [Impact Index Per Article: 3.4] [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: 01/04/2023] Open
Abstract
Increasing evidence suggests that aberrant DNA methylation changes may contribute to prostate cancer (PCa) ethnic disparity. To comprehensively identify DNA methylation alterations in PCa disparity, we used the Illumina 450K methylation platform to interrogate the methylation status of 485,577 CpG sites focusing on gene-associated regions of the human genome. Genomic DNA from African-American (AA; 7 normal and 3 cancers) and Caucasian (Cau; 8 normal and 3 cancers) was used in the analysis. Hierarchical clustering analysis identified probe-sets unique to AA and Cau samples, as well as common to both. We selected 25 promoter-associated novel CpG sites most differentially methylated by race (fold change > 1.5-fold; adjusted P < 0.05) and compared the β-value of these sites provided by the Illumina, Inc. array with quantitative methylation obtained by pyrosequencing in 7 prostate cell lines. We found very good concordance of the methylation levels between β-value and pyrosequencing. Gene expression analysis using qRT-PCR in a subset of 8 genes after treatment with 5-aza-2'-deoxycytidine and/or trichostatin showed up-regulation of gene expression in PCa cells. Quantitative analysis of 4 genes, SNRPN, SHANK2, MST1R, and ABCG5, in matched normal and PCa tissues derived from AA and Cau PCa patients demonstrated differential promoter methylation and concomitant differences in mRNA expression in prostate tissues from AA vs. Cau. Regression analysis in normal and PCa tissues as a function of race showed significantly higher methylation prevalence for SNRPN (P = 0.012), MST1R (P = 0.038), and ABCG5 (P < 0.0002) for AA vs. Cau samples. We selected the ABCG5 and SNRPN genes and verified their biological functions by Western blot analysis and siRNA gene knockout effects on cell proliferation and invasion in 4 PCa cell lines (2 AA and 2 Cau patients-derived lines). Knockdown of either ABCG5 or SNRPN resulted in a significant decrease in both invasion and proliferation in Cau PCa cell lines but we did not observe these remarkable loss-of-function effects in AA PCa cell lines. Our study demonstrates how differential genome-wide DNA methylation levels influence gene expression and biological functions in AA and Cau PCa.
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Affiliation(s)
- J M Devaney
- a Children's National Medical Center ; Center for Genetic Medicine Research ; Washington, DC USA
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15
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Ramezani A, Devaney JM, Cohen S, Wing MR, Scott R, Knoblach S, Singhal R, Howard L, Kopp JB, Raj DS. Circulating and urinary microRNA profile in focal segmental glomerulosclerosis: a pilot study. Eur J Clin Invest 2015; 45:394-404. [PMID: 25682967 PMCID: PMC4903079 DOI: 10.1111/eci.12420] [Citation(s) in RCA: 83] [Impact Index Per Article: 9.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/24/2014] [Accepted: 02/06/2015] [Indexed: 12/22/2022]
Abstract
BACKGROUND MicroRNAs (miRNAs) are noncoding RNA molecules that play important roles in the pathogenesis of various kidney diseases. We investigated whether patients with minimal change disease (MCD) and focal segmental glomerulosclerosis (FSGS) have distinct circulating and urinary miRNA expression profiles that could lead to potential development of noninvasive biomarkers of the disease. MATERIALS AND METHODS Exosome miRNAs were extracted from plasma and urine samples of patients with primary FSGS (n = 16) or MCD (n = 5) and healthy controls (n = 5). Differences in miRNA abundance were examined using Affymetrix GeneChip miRNA 3.0 arrays. QRT-PCR was used to validate the findings from the array. RESULTS Comparison analysis of FSGS versus MCD revealed 126 and 155 differentially expressed miRNAs in plasma and in urine, respectively. Only 38 of these miRNAs were previously cited, whereas the remaining miRNAs have not been described. Comparison analysis showed that a significant number of miRNAs were downregulated in both plasma and urine samples of patients with FSGS compared to those with MCD. Plasma levels of miR-30b, miR-30c, miR-34b, miR-34c and miR-342 and urine levels of mir-1225-5p were upregulated in patients with MCD compared to patients with FSGS and controls (P < 0.001). Urinary levels of mir-1915 and miR-663 were downregulated in patients with FSGS compared to MCD and controls (P < 0.001), whereas the urinary levels of miR-155 were upregulated in patients with FSGS when compared to patients with MCD and controls (P < 0.005). CONCLUSIONS Patients with FSGS and MCD have a unique circulating and urinary miRNA profile. The diagnostic and prognostic potential of miRNAs in FSGS and MCD warrants further studies.
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Affiliation(s)
- Ali Ramezani
- Division of Renal Diseases and Hypertension, The George Washington University School of Medicine, Washington, DC, USA
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16
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Rowlands DS, Page RA, Sukala WR, Giri M, Ghimbovschi SD, Hayat I, Cheema BS, Lys I, Leikis M, Sheard PW, Wakefield SJ, Breier B, Hathout Y, Brown K, Marathi R, Orkunoglu-Suer FE, Devaney JM, Leiken B, Many G, Krebs J, Hopkins WG, Hoffman EP. Multi-omic integrated networks connect DNA methylation and miRNA with skeletal muscle plasticity to chronic exercise in Type 2 diabetic obesity. Physiol Genomics 2014; 46:747-65. [PMID: 25138607 DOI: 10.1152/physiolgenomics.00024.2014] [Citation(s) in RCA: 77] [Impact Index Per Article: 7.7] [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: 01/19/2023] Open
Abstract
Epigenomic regulation of the transcriptome by DNA methylation and posttranscriptional gene silencing by miRNAs are potential environmental modulators of skeletal muscle plasticity to chronic exercise in healthy and diseased populations. We utilized transcriptome networks to connect exercise-induced differential methylation and miRNA with functional skeletal muscle plasticity. Biopsies of the vastus lateralis were collected from middle-aged Polynesian men and women with morbid obesity (44 kg/m(2) ± 10) and Type 2 diabetes before and following 16 wk of resistance (n = 9) or endurance training (n = 8). Longitudinal transcriptome, methylome, and microRNA (miRNA) responses were obtained via microarray, filtered by novel effect-size based false discovery rate probe selection preceding bioinformatic interrogation. Metabolic and microvascular transcriptome topology dominated the network landscape following endurance exercise. Lipid and glucose metabolism modules were connected to: microRNA (miR)-29a; promoter region hypomethylation of nuclear receptor factor (NRF1) and fatty acid transporter (SLC27A4), and hypermethylation of fatty acid synthase, and to exon hypomethylation of 6-phosphofructo-2-kinase and Ser/Thr protein kinase. Directional change in the endurance networks was validated by lower intramyocellular lipid, increased capillarity, GLUT4, hexokinase, and mitochondrial enzyme activity and proteome. Resistance training also lowered lipid and increased enzyme activity and caused GLUT4 promoter hypomethylation; however, training was inconsequential to GLUT4, capillarity, and metabolic transcriptome. miR-195 connected to negative regulation of vascular development. To conclude, integrated molecular network modelling revealed differential DNA methylation and miRNA expression changes occur in skeletal muscle in response to chronic exercise training that are most pronounced with endurance training and topographically associated with functional metabolic and microvascular plasticity relevant to diabetes rehabilitation.
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Affiliation(s)
- David S Rowlands
- School of Sport and Exercise, Massey University, Wellington, New Zealand;
| | - Rachel A Page
- Institute of Food, Nutrition & Human Health, Massey University, New Zealand
| | - William R Sukala
- Institute of Food, Nutrition & Human Health, Massey University, New Zealand
| | - Mamta Giri
- Children's National Medical Center, Center for Genetic Medicine Research (CGMR), Washington, District of Columbia
| | - Svetlana D Ghimbovschi
- Children's National Medical Center, Center for Genetic Medicine Research (CGMR), Washington, District of Columbia
| | - Irum Hayat
- Institute of Food, Nutrition & Human Health, Massey University, New Zealand
| | - Birinder S Cheema
- School of Science and Health, University of Western Sydney, Campbelltown, Australia
| | - Isabelle Lys
- Faculty of Engineering, Health, Science and the Environment, Charles Darwin University, Australia
| | - Murray Leikis
- Wellington Hospital, Capital and Coast District Health Board, Wellington, New Zealand
| | - Phillip W Sheard
- Department of Physiology, University of Otago, Dunedin, New Zealand
| | - St John Wakefield
- Department of Pathology, University of Otago, Wellington, New Zealand; and
| | - Bernhard Breier
- Institute of Food, Nutrition & Human Health, Massey University, New Zealand
| | - Yetrib Hathout
- Children's National Medical Center, Center for Genetic Medicine Research (CGMR), Washington, District of Columbia
| | - Kristy Brown
- Children's National Medical Center, Center for Genetic Medicine Research (CGMR), Washington, District of Columbia
| | - Ramya Marathi
- Children's National Medical Center, Center for Genetic Medicine Research (CGMR), Washington, District of Columbia
| | - Funda E Orkunoglu-Suer
- Children's National Medical Center, Center for Genetic Medicine Research (CGMR), Washington, District of Columbia
| | - Joseph M Devaney
- Children's National Medical Center, Center for Genetic Medicine Research (CGMR), Washington, District of Columbia
| | - Benjamin Leiken
- Children's National Medical Center, Center for Genetic Medicine Research (CGMR), Washington, District of Columbia
| | - Gina Many
- Children's National Medical Center, Center for Genetic Medicine Research (CGMR), Washington, District of Columbia
| | - Jeremy Krebs
- Endocrine and Diabetes Unit, Capital and Coast District Health Board, Wellington, New Zealand
| | - Will G Hopkins
- Health Science/Sport and Recreation, Auckland University of Technology, Auckland, New Zealand
| | - Eric P Hoffman
- Children's National Medical Center, Center for Genetic Medicine Research (CGMR), Washington, District of Columbia
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Abstract
Epigenetic modifications are important in the normal functioning of the cell, from regulating dynamic expression of essential genes and associated proteins to repressing those that are unneeded. Epigenetic changes are essential for development and functioning of the kidney, and aberrant methylation, histone modifications, and expression of microRNA could lead to chronic kidney disease (CKD). Here, epigenetic modifications modulate transforming growth factor β signaling, inflammation, profibrotic genes, and the epithelial-to-mesenchymal transition, promoting renal fibrosis and progression of CKD. Identification of these epigenetic changes is important because they are potentially reversible and may serve as therapeutic targets in the future to prevent subsequent renal fibrosis and CKD. In this review we discuss the different types of epigenetic control, methods to study epigenetic modifications, and how epigenetics promotes progression of CKD.
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Affiliation(s)
- Maria R Wing
- Division of Renal Disease and Hypertension, The George Washington University, Washington, DC
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18
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Gordish-Dressman H, Sprouse C, Ryan LM, Tosi LL, Devaney JM. A Variant In The Fat Mass And Obesity Associated (fto) Is Associated With Bone Mineral Density, But Not Forearm Fracture Risk In A Pediatric African-american Cohort. Med Sci Sports Exerc 2014. [DOI: 10.1249/01.mss.0000495259.59068.4c] [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: 11/21/2022]
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19
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Devaney JM, Silverman MN, Kazman J, Ramraj R, Sprouse C, Gordish-Dressman HGD, O’Connor FG, Heled Y, Deuster PA. ACTN3 R577X Variant Is Not Associated With Heat Tolerance In Humans. Med Sci Sports Exerc 2014. [DOI: 10.1249/01.mss.0000495266.83724.00] [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: 11/21/2022]
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20
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Sprouse C, Gordish-Dressman H, Orkunoglu-Suer EF, Lipof JS, Moeckel-Cole S, Patel RR, Adham K, Larkin JS, Hubal MJ, Kearns AK, Clarkson PM, Thompson PD, Angelopoulos TJ, Gordon PM, Moyna NM, Pescatello LS, Visich PS, Zoeller RF, Hoffman EP, Tosi LL, Devaney JM. Response to Comment on Sprouse et al. SLC30A8 nonsynonymous variant is associated with recovery following exercise and skeletal muscle size and strength. Diabetes 2014;63:363-368. Diabetes 2014; 63:e9-e10. [PMID: 24757210 DOI: 10.2337/db14-0222] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/13/2022]
Affiliation(s)
- Courtney Sprouse
- Department of Integrative Systems Biology, Research Center for Genetic Medicine, Children's National Medical Center, Washington, DC
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21
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Sprouse C, Tosi LL, Gordish-Dressman H, Ryan LM, Devaney JM. Interaction between Genetic Variants Related to Type 2 Diabetes and Bone Phenotypes in Young African Americans. Med Sci Sports Exerc 2014. [DOI: 10.1249/01.mss.0000495774.85149.10] [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: 11/21/2022]
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22
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Many GM, Ash GI, Hittel DS, Devaney JM, Barfield W, Houmard JA, Dubis G, Pescatello LS, Hoffman EP. Physical Activity and Physical Fitness as Determinants of Cardiometabolic Risk Factors_a Comparison between African Americans and Caucasian College Students. Med Sci Sports Exerc 2014. [DOI: 10.1249/01.mss.0000493674.55416.ef] [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: 11/21/2022]
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23
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Pistilli EE, Shanely RA, Nieman DC, Devaney JM. Single Nucleotide Polymorphisms in the IL15RA Gene and Associations with Muscle Strength in Experienced Marathon Runners. Med Sci Sports Exerc 2014. [DOI: 10.1249/01.mss.0000496246.12149.f2] [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: 11/21/2022]
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24
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Devaney JM, Wang S, Funda S, Long J, Taghipour DJ, Tbaishat R, Furbert-Harris P, Ittmann M, Kwabi-Addo B. Erratum: Identification of novel DNA-methylated genes that correlate with human prostate cancer and high-grade prostatic intraepithelial neoplasia. Prostate Cancer Prostatic Dis 2014. [DOI: 10.1038/pcan.2013.58] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
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25
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Wing MR, Devaney JM, Joffe MM, Xie D, Feldman HI, Dominic EA, Guzman NJ, Ramezani A, Susztak K, Herman JG, Cope L, Harmon B, Kwabi-Addo B, Gordish-Dressman H, Go AS, He J, Lash JP, Kusek JW, Raj DS. DNA methylation profile associated with rapid decline in kidney function: findings from the CRIC study. Nephrol Dial Transplant 2014; 29:864-72. [PMID: 24516231 DOI: 10.1093/ndt/gft537] [Citation(s) in RCA: 105] [Impact Index Per Article: 10.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/19/2023] Open
Abstract
BACKGROUND Epigenetic mechanisms may be important in the progression of chronic kidney disease (CKD). METHODS We studied the genome-wide DNA methylation pattern associated with rapid loss of kidney function using the Infinium HumanMethylation 450 K BeadChip in 40 Chronic Renal Insufficiency (CRIC) study participants (n = 3939) with the highest and lowest rates of decline in estimated glomerular filtration rate. RESULTS The mean eGFR slope was 2.2 (1.4) and -5.1 (1.2) mL/min/1.73 m(2) in the stable kidney function group and the rapid progression group, respectively. CpG islands in NPHP4, IQSEC1 and TCF3 were hypermethylated to a larger extent in subjects with stable kidney function (P-values of 7.8E-05 to 9.5E-05). These genes are involved in pathways known to promote the epithelial to mesenchymal transition and renal fibrosis. Other CKD-related genes that were differentially methylated are NOS3, NFKBIL2, CLU, NFKBIB, TGFB3 and TGFBI, which are involved in oxidative stress and inflammatory pathways (P-values of 4.5E-03 to 0.046). Pathway analysis using Ingenuity Pathway Analysis showed that gene networks related to cell signaling, carbohydrate metabolism and human behavior are epigenetically regulated in CKD. CONCLUSIONS Epigenetic modifications may be important in determining the rate of loss of kidney function in patients with established CKD.
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Affiliation(s)
- Maria R Wing
- Division of Renal Diseases and Hypertension, The George Washington University School of Medicine, Washington, DC, USA
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26
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Hoffman EP, Gordish-Dressman H, McLane VD, Devaney JM, Thompson PD, Visich P, Gordon PM, Pescatello LS, Zoeller RF, Moyna NM, Angelopoulos TJ, Pegoraro E, Cox GA, Clarkson PM. Alterations in osteopontin modify muscle size in females in both humans and mice. Med Sci Sports Exerc 2014; 45:1060-8. [PMID: 23274598 DOI: 10.1249/mss.0b013e31828093c1] [Citation(s) in RCA: 31] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
Abstract
PURPOSE An osteopontin (OPN; SPP1) gene promoter polymorphism modifies disease severity in Duchenne muscular dystrophy, and we hypothesized that it might also modify muscle phenotypes in healthy volunteers. METHODS Gene association studies were carried out for OPN (rs28357094) in the FAMuSS cohort (n = 752; mean ± SD age = 23.7 ± 5.7 yr). The phenotypes studied included muscle size (MRI), strength, and response to supervised resistance training. We also studied 147 young adults that had carried out a bout of eccentric elbow exercise (age = 24.0 ± 5.2 yr). Phenotypes analyzed included strength, soreness, and serum muscle enzymes. RESULTS In the FAMuSS cohort, the G allele was associated with 17% increase in baseline upper arm muscle volume only in women (F = 26.32; P = 5.32 × 10), explaining 5% of population variance. In the eccentric damage cohort, weak associations of the G allele were seen in women with both baseline myoglobin and elevated creatine kinase. The sexually dimorphic effects of OPN on muscle were also seen in OPN-null mice. Five of seven muscle groups examined showed smaller size in OPN-null female mice, whereas two were smaller in male mice. The query of OPN gene transcription after experimental muscle damage in mice showed rapid induction within 12 h (100-fold increase from baseline), followed by sustained high-level expression through 16 d of regeneration before falling to back to baseline. CONCLUSION OPN is a sexually dimorphic modifier of muscle size in normal humans and mice and responds to muscle damage. The OPN gene is known to be estrogen responsive, and this may explain the female-specific genotype effects in adult volunteers.
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Affiliation(s)
- Eric P Hoffman
- Department of Integrative Systems Biology, Center for Genetic Medicine Research, Children's National Medical Center, Washington, DC 20010, USA.
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27
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Sprouse C, Gordish-Dressman H, Orkunoglu-Suer EF, Lipof JS, Moeckel-Cole S, Patel RR, Adham K, Larkin JS, Hubal MJ, Kearns AK, Clarkson PM, Thompson PD, Angelopoulos TJ, Gordon PM, Moyna NM, Pescatello LS, Visich PS, Zoeller RF, Hoffman EP, Tosi LL, Devaney JM. SLC30A8 nonsynonymous variant is associated with recovery following exercise and skeletal muscle size and strength. Diabetes 2014; 63:363-8. [PMID: 24101675 DOI: 10.2337/db13-1150] [Citation(s) in RCA: 19] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/13/2022]
Abstract
Genome-wide association studies have identified thousands of variants that are associated with numerous phenotypes. One such variant, rs13266634, a nonsynonymous single nucleotide polymorphism in the solute carrier family 30 (zinc transporter) member eight gene, is associated with a 53% increase in the risk of developing type 2 diabetes (T2D). We hypothesized that individuals with the protective allele against T2D would show a positive response to short-term and long-term resistance exercise. Two cohorts of young adults-the Eccentric Muscle Damage (EMD; n = 156) cohort and the Functional Single Nucleotide Polymorphisms Associated with Muscle Size and Strength Study (FAMuSS; n = 874)-were tested for association of the rs13266634 variant with measures of skeletal muscle response to resistance exercise. Our results were sexually dimorphic in both cohorts. Men in the EMD study with two copies of the protective allele showed less post-exercise bout strength loss, less soreness, and lower creatine kinase values. In addition, men in the FAMuSS, homozygous for the protective allele, showed higher pre-exercise strength and larger arm skeletal muscle volume, but did not show a significant difference in skeletal muscle hypertrophy or strength with resistance training.
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Affiliation(s)
- Courtney Sprouse
- Department of Integrative Systems Biology, Research Center for Genetic Medicine, Children's National Medical Center, Washington, DC
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28
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Ryan LM, Chamberlain JM, Singer SA, Wood R, Tosi LL, Freishtat RJ, Gordish-Dressman H, Teach SJ, Devaney JM. Genetic influences on vitamin D status and forearm fracture risk in African American children. J Investig Med 2013; 60:902-6. [PMID: 22613962 DOI: 10.2310/jim.0b013e3182567e2a] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/08/2023]
Abstract
We sought to investigate the relationship between newly identified genetic variants and vitamin D levels and fracture risk in healthy African American (black) children. This case-control study included children of both sexes, ages 5 to 9 years, with and without forearm fractures. Serum 25-hydroxy vitamin D levels, bone mineral density, body mass index, and calcium/vitamin D intake were measured in 130 individuals (n = 60 cases and n = 70 controls). The 5 variants tested were located in the GC gene (rs2282679), in the NADSYN1 gene (rs12785878 and rs3829251), and in the promoter region of the CYP2R1 gene (rs2060793 and rs104741657). Associations between single nucleotide polymorphisms (SNPs) and vitamin D levels were tested using an analysis of covariance. Associations between SNPs and fracture status were tested using logistic regression. The GC gene variant was associated with vitamin D levels (P = 0.038). None of the SNPs were associated with fracture status in young blacks. These results suggest that the variants tested, which are associated with circulating vitamin D levels in whites, are not associated with fracture status in healthy black children. Additional research is required to discover the genetics of fracture risk in blacks.
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Affiliation(s)
- Leticia Manning Ryan
- Division of Emergency Medicine, Children's National Medical Center, Washington, DC 20010, USA.
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Gordon EM, Devaney JM, Bean S, Vaidya CJ. Resting-state striato-frontal functional connectivity is sensitive to DAT1 genotype and predicts executive function. ACTA ACUST UNITED AC 2013; 25:336-45. [PMID: 23968837 DOI: 10.1093/cercor/bht229] [Citation(s) in RCA: 50] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022]
Abstract
Individual differences in striatal dopamine (DA) signaling have been associated both with individual differences in executive function in healthy individuals and with risk for psychiatric disorders defined by executive dysfunction. We used resting-state functional connectivity in 50 healthy adults to examine whether a polymorphism of the dopamine transporter gene (DAT1), which regulates striatal DA function, affects striatal functional connectivity in healthy adults, and whether that connectivity predicts executive function. We found that 9/10 heterozygotes, who are believed to have higher striatal DA signaling, demonstrated stronger connectivity between dorsal caudate (DC) and insular, dorsal anterior cingulate, and dorsolateral prefrontal regions, as well as between ventral striatum and ventrolateral prefrontal cortex, than 10/10 homozygotes. Across subjects, stronger DC-seeded connectivity predicted superior N-back working memory performance, while stronger ventral striatum-seeded connectivity predicted reduced impulsivity in everyday life. Further, mediation analysis suggested that connectivity strength mediated relationships between DAT1 genotype and behavior. These findings suggest that resting-state striato-frontal connectivity may be an endophenotype for executive function in healthy individuals.
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Affiliation(s)
- Evan M Gordon
- Interdisciplinary Program in Neuroscience, Georgetown University Medical Center, Washington, DC 20007, USA
| | - Joseph M Devaney
- Department of Integrative Systems Biology, Research Center for Genetic Medicine, Children's National Medical Center, Washington, DC 20310, USA
| | - Stephanie Bean
- Department of Psychology, Georgetown University, Washington, DC 20057, USA and
| | - Chandan J Vaidya
- Department of Psychology, Georgetown University, Washington, DC 20057, USA and Children's Research Institute, Children's National Medical Center, Washington, DC 20310, USA
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Islam A, Deuster PA, Devaney JM, Ghimbovschi S, Chen Y. An exploration of heat tolerance in mice utilizing mRNA and microRNA expression analysis. PLoS One 2013; 8:e72258. [PMID: 23967293 PMCID: PMC3744453 DOI: 10.1371/journal.pone.0072258] [Citation(s) in RCA: 29] [Impact Index Per Article: 2.6] [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: 04/30/2013] [Accepted: 07/09/2013] [Indexed: 01/05/2023] Open
Abstract
BACKGROUND Individuals who rapidly develop hyperthermia during heat exposure (heat-intolerant) are vulnerable to heat associated illness and injury. We recently reported that heat intolerant mice exhibit complex alterations in stress proteins in response to heat exposure. In the present study, we further explored the role of genes and molecular networks associated with heat tolerance in mice. METHODOLOGY Heat-induced physiological and biochemical changes were assessed to determine heat tolerance levels in mice. We performed RNA and microRNA expression profiling on mouse gastrocnemius muscle tissue samples to determine novel biological pathways associated with heat tolerance. PRINCIPAL FINDINGS Mice (n = 18) were assigned to heat-tolerant (TOL) and heat-intolerant (INT) groups based on peak core temperatures during heat exposures. This was followed by biochemical assessments (Hsp40, Hsp72, Hsp90 and Hsf1 protein levels). Microarray analysis identified a total of 3,081 mRNA transcripts that were significantly misregulated in INT compared to TOL mice (p<0.05). Among them, Hspa1a, Dnajb1 and Hspb7 were differentially expressed by more than two-fold under these conditions. Furthermore, we identified 61 distinct microRNA (miRNA) sequences significantly associated with TOL compared to INT mice; eight miRNAs corresponded to target sites in seven genes identified as being associated with heat tolerance pathways (Hspa1a, Dnajb1, Dnajb4, Dnajb6, Hspa2, Hspb3 and Hspb7). CONCLUSIONS The combination of mRNA and miRNA data from the skeletal muscle of adult mice following heat stress provides new insights into the pathophysiology of thermoregulatory disturbances of heat intolerance.
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Affiliation(s)
- Aminul Islam
- Department of Military and Emergency Medicine, Uniformed Services University of the Health Sciences, Bethesda, Maryland, United States of America.
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31
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Devaney JM, Wang S, Funda S, Long J, Taghipour DJ, Tbaishat R, Furbert-Harris P, Ittmann M, Kwabi-Addo B. Identification of novel DNA-methylated genes that correlate with human prostate cancer and high-grade prostatic intraepithelial neoplasia. Prostate Cancer Prostatic Dis 2013; 16:292-300. [PMID: 23896626 DOI: 10.1038/pcan.2013.21] [Citation(s) in RCA: 39] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/07/2013] [Revised: 06/24/2013] [Accepted: 06/27/2013] [Indexed: 02/06/2023]
Abstract
BACKGROUND Prostate cancer (PCa) harbors a myriad of genomic and epigenetic defects. Cytosine methylation of CpG-rich promoter DNA is an important mechanism of epigenetic gene inactivation in PCa. There is considerable amount of data to suggest that DNA methylation-based biomarkers may be useful for the early detection and diagnosis of PCa. In addition, candidate gene-based studies have shown an association between specific gene methylation and alterations and clinicopathologic indicators of poor prognosis in PCa. METHODS To more comprehensively identify DNA methylation alterations in PCa initiation and progression, we examined the methylation status of 485 577 CpG sites from regions with a broad spectrum of CpG densities, interrogating both gene-associated and non-associated regions using the recently developed Illumina 450K methylation platform. RESULTS In all, we selected 33 promoter-associated novel CpG sites that were differentially methylated in high-grade prostatic intraepithelial neoplasia and PCa in comparison with benign prostate tissue samples (false discovery rate-adjusted P-value <0.05; β-value 0.2; fold change >1.5). Of the 33 genes, hierarchical clustering analysis demonstrated BNC1, FZD1, RPL39L, SYN2, LMX1B, CXXC5, ZNF783 and CYB5R2 as top candidate novel genes that are frequently methylated and whose methylation was associated with inactivation of gene expression in PCa cell lines. Pathway analysis of the genes with altered methylation patterns identified the involvement of a cancer-related network of genes whose activity may be regulated by TP53, MYC, TNF, IL1 and 6, IFN-γ and FOS in prostate pathogenesis. CONCLUSION Our genome-wide methylation profile shows epigenetic dysregulation of important regulatory signals in prostate carcinogenesis.
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Affiliation(s)
- J M Devaney
- Children's National Medical Center, Center for Genetic Medicine Research, Washington, DC, USA
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32
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Stollstorff M, Munakata Y, Jensen APC, Guild RM, Smolker HR, Devaney JM, Banich MT. Individual differences in emotion-cognition interactions: emotional valence interacts with serotonin transporter genotype to influence brain systems involved in emotional reactivity and cognitive control. Front Hum Neurosci 2013; 7:327. [PMID: 23847500 PMCID: PMC3701233 DOI: 10.3389/fnhum.2013.00327] [Citation(s) in RCA: 19] [Impact Index Per Article: 1.7] [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: 02/22/2013] [Accepted: 06/12/2013] [Indexed: 12/16/2022] Open
Abstract
The serotonin transporter gene (5-HTTLPR) influences emotional reactivity and attentional bias toward or away from emotional stimuli, and has been implicated in psychopathological states, such as depression and anxiety disorder. The short allele is associated with increased reactivity and attention toward negatively-valenced emotional information, whereas the long allele is associated with increased reactivity and attention toward positively-valenced emotional information. The neural basis for individual differences in the ability to exert cognitive control over these bottom-up biases in emotional reactivity and attention is unknown, an issue investigated in the present study. Healthy adult participants were divided into two groups, either homozygous carriers of the 5-HTTLPR long allele or homozygous carriers of the short allele, and underwent functional magnetic resonance imaging (fMRI) while completing an Emotional Stroop-like task that varied in the congruency of task-relevant and task-irrelevant information and the emotional valence of the task-irrelevant information. Behaviorally, participants demonstrated the classic “Stroop effect” (responses were slower for incongruent than congruent trials), which did not differ by 5-HTTLPR genotype. However, fMRI results revealed that genotype influenced the degree to which neural systems were engaged depending on the valence of the conflicting task-irrelevant information. While the “Long” group recruited prefrontal control regions and superior temporal sulcus during conflict when the task-irrelevant information was positively-valenced, the “Short” group recruited these regions during conflict when the task-irrelevant information was negatively-valenced. Thus, participants successfully engaged cognitive control to overcome conflict in an emotional context using similar neural circuitry, but the engagement of this circuitry depended on emotional valence and 5-HTTLPR status. These results suggest that the interplay between emotion and cognition is modulated, in part, by a genetic polymorphism that influences serotonin neurotransmission.
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Affiliation(s)
- Melanie Stollstorff
- Institute of Cognitive Science, University of Colorado Boulder Boulder, CO, USA
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Van Deveire KN, Scranton SK, Kostek MA, Angelopoulos TJ, Clarkson PM, Gordon PM, Moyna NM, Visich PS, Zoeller RF, Thompson PD, Devaney JM, Gordish-Dressman H, Hoffman EP, Maresh CM, Pescatello LS. Variants of the ankyrin repeat domain 6 gene (ANKRD6) and muscle and physical activity phenotypes among European-derived American adults. J Strength Cond Res 2012; 26:1740-8. [PMID: 22580979 DOI: 10.1519/jsc.0b013e31825c2bef] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/15/2022]
Abstract
Ankyrin repeat domain 6 (ANKRD6) is a ubiquitous protein that associates with early development in mammals and is highly expressed in the brain, spinal cord, and heart of humans. We examined the role of 8 ANKRD6 single-nucleotide polymorphisms (SNPs) on muscle performance and habitual physical activity (PA). Single-nucleotide polymorphisms were 545 T>A (rs9362667), 485 M>L (rs61736690), 233 T>M (rs2273238), 128 I>L (rs3748085), 631 P>L (rs61739327), 122 Q>E (rs16881983), 197805 G>A (rs9344950), and 710 L>X (NOVEL). This study consisted of 922 healthy, untrained, European-derived American men (n = 376, 23.6 ± 0.3 years, 25.0 ± 0.2 kg·m(-2)) and women (n = 546, 23.2 ± 0.2 years, 24.0 ± 0.2 kg·m(-2)). Muscle strength (maximum voluntary contraction [MVC] and 1 repetition maximum [1RM]) and size (cross-sectional area [CSA]) were assessed before and after 12 weeks of unilateral resistance training (RT). A subsample (n = 536, 23.4 ± 0.2 years, 24.6 ± 0.2 kg·m(-2)) completed the Paffenbarger Physical Activity Questionnaire. Associations among ANKRD6 genotypes and muscle phenotypes were tested with repeated measure analysis of covariance (ANCOVA) and PA phenotypes with multivariate ANCOVA, with age and body mass index as covariates. ANKRD6 122 Q>E was associated with increased baseline biceps CSA. ANKRD6 545 A>T and ANKRD6 710 L>X were associated with increased 1RM and MVC in response to RT, respectively. ANKRD6 631 P>L was associated with increased biceps CSA response to RT and time spent in moderate-intensity PA among the total sample and women. ANKRD6 genetic variants were associated with the muscle size and strength response to RT and habitual PA levels. Further research is needed to validate our results and explore mechanisms for the associations we observed.
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Affiliation(s)
- Katherine N Van Deveire
- Department of Kinesiology, Human Performance Laboratory, School of Allied Health, University of Connecticut, Storrs, Connecticut, USA
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Aghili N, Devaney JM, Alderman LO, Zukowska Z, Epstein SE, Burnett MS. Polymorphisms in dipeptidyl peptidase IV gene are associated with the risk of myocardial infarction in patients with atherosclerosis. Neuropeptides 2012; 46:367-71. [PMID: 23122333 DOI: 10.1016/j.npep.2012.10.001] [Citation(s) in RCA: 22] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/29/2012] [Revised: 10/02/2012] [Accepted: 10/02/2012] [Indexed: 12/12/2022]
Abstract
BACKGROUND Dipeptidyl peptidase IV (DPP-IV) is not only important in pancreatic β-cell regulation but also has proinflammatory actions that can contribute to atherosclerosis progression. Previously, we showed that DPP-IV is co-localized with CD31 (an endothelial cell marker) in the neovessels within the human atherosclerotic plaques. These characteristics of DPP-IV may predispose patients with coronary artery disease (CAD) to plaque rupture and thus to myocardial infarction. The goal of this investigation was to determine whether genetic alterations in DPP-IV predispose to plaque vulnerability and myocardial infarction (MI). METHODS Between Aug 2004, and March 2007, blood samples of patients (age <60) with angiographically documented CAD were collected. Demographic, clinical, risk factor, and angiographic data were recorded. Eight hundred and seventy five patients of European ancestry with angiographic CAD were divided into those with MI (n=421) and those without (n=454). A genome-wide association study was performed using the Affymetrix 6.0 chip to identify loci that predispose to MI. In the current study we only focused on DPP4 gene to assess the association of single nucleotide polymorphisms (SNPs) in the DPP-IV gene and risk of MI in patients with CAD. For genotyped SNPs, association was tested by logistic regression with significance level of 0.05. Plasma DPP-IV level was measured using a commercial ELISA kit. RESULTS Average patients' age at diagnosis of CAD was 46.8years for MI group and 50.8 in the non MI group. There was no difference in distribution of traditional risk factors between the two groups. We identified one SNP (rs3788979) that was significantly related to angiographic CAD with MI, vs. without MI (OR: 1.36, p=0.03). The association of the identified SNP to MI risk was not attenuated after adjustment for traditional risk factors. The SNP was associated with lower levels of plasma DPP-IV (p=0.005). Moreover, CAD patients with the major alleles (GG) and no MI had highest plasma DPP-IV levels. (481.6, p=0.002). CONCLUSIONS A polymorphism in the DPP-IV gene in patients with known CAD may increase the risk of MI. This SNP is associated with decreased plasma DPP4 level in patients with MI.
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Affiliation(s)
- Nima Aghili
- Tufts Medical Center, Department of Cardiovascular Disease, 800 Washington St., Boston, MA, United States.
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35
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Ryan LM, Chamberlain JM, Singer SA, Wood R, Tosi LL, Freishtat RJ, Gordish-Dressman H, Teach SJ, Devaney JM. Genetic influences on vitamin D status and forearm fracture risk in African American children. J Investig Med 2012. [PMID: 22613962 PMCID: PMC3404230 DOI: 10.231/jim.0b013e3182567e2a] [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] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/20/2023]
Abstract
We sought to investigate the relationship between newly identified genetic variants and vitamin D levels and fracture risk in healthy African American (black) children. This case-control study included children of both sexes, ages 5 to 9 years, with and without forearm fractures. Serum 25-hydroxy vitamin D levels, bone mineral density, body mass index, and calcium/vitamin D intake were measured in 130 individuals (n = 60 cases and n = 70 controls). The 5 variants tested were located in the GC gene (rs2282679), in the NADSYN1 gene (rs12785878 and rs3829251), and in the promoter region of the CYP2R1 gene (rs2060793 and rs104741657). Associations between single nucleotide polymorphisms (SNPs) and vitamin D levels were tested using an analysis of covariance. Associations between SNPs and fracture status were tested using logistic regression. The GC gene variant was associated with vitamin D levels (P = 0.038). None of the SNPs were associated with fracture status in young blacks. These results suggest that the variants tested, which are associated with circulating vitamin D levels in whites, are not associated with fracture status in healthy black children. Additional research is required to discover the genetics of fracture risk in blacks.
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Affiliation(s)
- Leticia Manning Ryan
- Division of Emergency Medicine, Children's National Medical Center, Washington, DC,Center for Clinical and Community Research, Children's National Medical Center, Washington, DC,Department of Integrative Systems Biology, George Washington University School of Medicine and Health Sciences, Research Center for Genetic Medicine, Children's National Medical Center
| | - James M. Chamberlain
- Division of Emergency Medicine, Children's National Medical Center, Washington, DC,Center for Clinical and Community Research, Children's National Medical Center, Washington, DC
| | - Steven A. Singer
- Department of Emergency Medicine, George Washington University Medical Center, Washington, DC
| | - Rachel Wood
- Center for Clinical and Community Research, Children's National Medical Center, Washington, DC
| | - Laura L. Tosi
- Division of Orthopaedics and Sports Medicine, Children's National Medical Center, Washington, DC
| | - Robert J. Freishtat
- Division of Emergency Medicine, Children's National Medical Center, Washington, DC,Department of Integrative Systems Biology, George Washington University School of Medicine and Health Sciences, Research Center for Genetic Medicine, Children's National Medical Center
| | - Heather Gordish-Dressman
- Department of Integrative Systems Biology, George Washington University School of Medicine and Health Sciences, Research Center for Genetic Medicine, Children's National Medical Center
| | - Stephen J. Teach
- Division of Emergency Medicine, Children's National Medical Center, Washington, DC,Center for Clinical and Community Research, Children's National Medical Center, Washington, DC
| | - Joseph M. Devaney
- Department of Integrative Systems Biology, George Washington University School of Medicine and Health Sciences, Research Center for Genetic Medicine, Children's National Medical Center
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36
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Aghili N, Devaney JM, Li M, Reilly M, Rader D, Zukowska Z, Burnett MS, Epstein S. POLYMORPHISMS IN DIPEPTIDYL PEPTIDASE IV GENE ARE ASSOCIATED WITH THE RISK OF MYOCARDIAL INFARCTION IN PATIENTS WITH ATHEROSCLEROSIS. J Am Coll Cardiol 2012. [DOI: 10.1016/s0735-1097(12)61401-6] [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] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/28/2022]
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Stollstorff M, Bean SE, Anderson LM, Devaney JM, Vaidya CJ. Rationality and emotionality: serotonin transporter genotype influences reasoning bias. Soc Cogn Affect Neurosci 2012; 8:404-9. [PMID: 22275169 DOI: 10.1093/scan/nss011] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/22/2022] Open
Abstract
Reasoning often occurs under emotionally charged, opinion-laden circumstances. The belief-bias effect indexes the extent to which reasoning is based upon beliefs rather than logical structure. We examined whether emotional content increases this effect, particularly for adults genetically predisposed to be more emotionally reactive. SS/SL(G) carriers of the serotonin transporter genotype (5-HTTLPR) were less accurate selectively for evaluating emotional relational reasoning problems with belief-logic conflict relative to L(A)L(A) carriers. Trait anxiety was positively associated with emotional belief-bias, and the 5-HTTLPR genotype significantly accounted for the variance in this association. Thus, deductive reasoning, a higher cognitive ability, is sensitive to differences in emotionality rooted in serotonin neurotransmitter function.
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Affiliation(s)
- Melanie Stollstorff
- Department of Psychology and Neuroscience, UCB 345, University of Colorado Boulder, Boulder, CO 80309, USA.
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38
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Gordon EM, Stollstorff M, Devaney JM, Bean S, Vaidya CJ. Effect of dopamine transporter genotype on intrinsic functional connectivity depends on cognitive state. ACTA ACUST UNITED AC 2011; 22:2182-96. [PMID: 22047966 DOI: 10.1093/cercor/bhr305] [Citation(s) in RCA: 38] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/30/2022]
Abstract
Functional connectivity between brain regions can define large-scale neural networks and provide information about relationships between those networks. We examined how relationships within and across intrinsic connectivity networks were 1) sensitive to individual differences in dopaminergic function, 2) modulated by cognitive state, and 3) associated with executive behavioral traits. We found that regardless of cognitive state, connections between frontal, parietal, and striatal nodes of Task-Positive networks (TPNs) and Task-Negative networks (TNNs) showed higher functional connectivity in 10/10 homozygotes of the dopamine transporter gene, a polymorphism influencing synaptic dopamine, than in 9/10 heterozygotes. However, performance of a working memory task (a state requiring dopamine release) modulated genotype differences selectively, such that cross-network connectivity between TPNs and TNNs was higher in 10/10 than 9/10 subjects during working memory but not during rest. This increased cross-network connectivity was associated with increased self-reported measures of impulsivity and inattention traits. By linking a gene regulating synaptic dopamine to a phenotype characterized by inefficient executive function, these findings validate cross-network connectivity as an endophenotype of executive dysfunction.
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Affiliation(s)
- Evan M Gordon
- Interdisciplinary Program in Neuroscience, Georgetown University Medical Center, Washington, DC 20057, USA
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Devaney JM, Suer F, Kwabi-Addo B. Abstract ED03-03: Tools for analysis of genome-wide methylation data: An application to prostate cancer. Cancer Epidemiol Biomarkers Prev 2011. [DOI: 10.1158/1055-9965.disp-11-ed03-03] [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] Open
Abstract
Abstract
One of the major obstacles to effect treatment of cancer is tumor heterogeneity. Identification of markers that dictate avenues of treatment would be powerful tools in the fight against cancer. One potential marker that could be used is epigenetics. New analysis methods for epigenetic include genome-wide chips covering over 450,000 methylation sites located throughout the genome. This talk will focus on different methods of analysis for genome-wide methylation data from prostate cancer, and samples from healthy prostate samples. In addition, integration of methylation data with genetic data and additional molecular data (RNA profiling) will be discussed.
Citation Information: Cancer Epidemiol Biomarkers Prev 2011;20(10 Suppl):ED03-03.
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Affiliation(s)
| | - Funda Suer
- 1Children's National Medical Center, Washington, DC,
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40
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Ricketts SL, Rensing KL, Holly JM, Chen L, Young EH, Luben R, Ashford S, Song K, Yuan X, Dehghan A, Wright BJ, Waterworth DM, Mooser V, Waeber G, Vollenweider P, Epstein SE, Burnett MS, Devaney JM, Hakonarson HH, Rader DJ, Reilly MP, Danesh J, Thompson SG, Dunning AM, van Duijn CM, Samani NJ, McPherson R, Wareham NJ, Khaw KT, Boekholdt SM, Sandhu MS. Prospective study of insulin-like growth factor-I, insulin-like growth factor-binding protein 3, genetic variants in the IGF1 and IGFBP3 genes and risk of coronary artery disease. Int J Mol Epidemiol Genet 2011; 2:261-285. [PMID: 21915365 PMCID: PMC3166154] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Grants] [Subscribe] [Scholar Register] [Received: 06/02/2011] [Accepted: 07/25/2011] [Indexed: 05/31/2023]
Abstract
Although experimental studies have suggested that insulin-like growth factor I (IGF-I) and its binding protein IGFBP-3 might have a role in the aetiology of coronary artery disease (CAD), the relevance of circulating IGFs and their binding proteins in the development of CAD in human populations is unclear. We conducted a nested case-control study, with a mean follow-up of six years, within the EPIC-Norfolk cohort to assess the association between circulating levels of IGF-I and IGFBP-3 and risk of CAD in up to 1,013 cases and 2,055 controls matched for age, sex and study enrolment date. After adjustment for cardiovascular risk factors, we found no association between circulating levels of IGF-I or IGFBP-3 and risk of CAD (odds ratio: 0.98 (95% Cl 0.90-1.06) per 1 SD increase in circulating IGF-I; odds ratio: 1.02 (95% Cl 0.94-1.12) for IGFBP-3). We examined associations between tagging single nucleotide polymorphisms (tSNPs) at the IGF1 and IGFBP3 loci and circulating IGF-I and IGFBP-3 levels in up to 1,133 cases and 2,223 controls and identified three tSNPs (rs1520220, rs3730204, rs2132571) that showed independent association with either circulating IGF-I or IGFBP-3 levels. In an assessment of 31 SNPs spanning the IGF1 or IGFBP3 loci, none were associated with risk of CAD in a meta-analysis that included EPIC-Norfolk and eight additional studies comprising up to 9,319 cases and 19,964 controls. Our results indicate that IGF-I and IGFBP-3 are unlikely to be importantly involved in the aetiology of CAD in human populations.
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Wang K, Edmondson AC, Li M, Gao F, Qasim AN, Devaney JM, Burnett MS, Waterworth DM, Mooser V, Grant SFA, Epstein SE, Reilly MP, Hakonarson H, Rader DJ. Pathway-Wide Association Study Implicates Multiple Sterol Transport and Metabolism Genes in HDL Cholesterol Regulation. Front Genet 2011; 2:41. [PMID: 22303337 PMCID: PMC3268595 DOI: 10.3389/fgene.2011.00041] [Citation(s) in RCA: 10] [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] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/05/2011] [Accepted: 06/21/2011] [Indexed: 12/30/2022] Open
Abstract
Pathway-based association methods have been proposed to be an effective approach in identifying disease genes, when single-marker association tests do not have sufficient power. The analysis of quantitative traits may be benefited from these approaches, by sampling from two extreme tails of the distribution. Here we tested a pathway association approach on a small genome-wide association study (GWAS) on 653 subjects with extremely high high-density lipoprotein cholesterol (HDL-C) levels and 784 subjects with low HDL-C levels. We identified 102 genes in the sterol transport and metabolism pathways that collectively associate with HDL-C levels, and replicated these association signals in an independent GWAS. Interestingly, the pathways include 18 genes implicated in previous GWAS on lipid traits, suggesting that genuine HDL-C genes are highly enriched in these pathways. Additionally, multiple biologically relevant loci in the pathways were not detected by previous GWAS, including genes implicated in previous candidate gene association studies (such as LEPR, APOA2, HDLBP, SOAT2), genes that cause Mendelian forms of lipid disorders (such as DHCR24), and genes expressing dyslipidemia phenotypes in knockout mice (such as SOAT1, PON1). Our study suggests that sampling from two extreme tails of a quantitative trait and examining genetic pathways may yield biological insights from smaller samples than are generally required using single-marker analysis in large-scale GWAS. Our results also implicate that functionally related genes work together to regulate complex quantitative traits, and that future large-scale studies may benefit from pathway-association approaches to identify novel pathways regulating HDL-C levels.
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Affiliation(s)
- Kai Wang
- Center for Applied Genomics, Children's Hospital of Philadelphia Philadelphia, PA, USA
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42
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Devaney JM, Thompson PD, Visich PS, Saltarelli WA, Gordon PM, Orkunoglu-Suer EF, Gordish-Dressman H, Harmon BT, Bradbury MK, Panchapakesan K, Khianey R, Hubal MJ, Clarkson PM, Pescatello LS, Zoeller RF, Moyna NM, Angelopoulos TJ, Kraus WE, Hoffman EP. The 1p13.3 LDL (C)-associated locus shows large effect sizes in young populations. Pediatr Res 2011; 69:538-43. [PMID: 21297524 PMCID: PMC3606915 DOI: 10.1203/pdr.0b013e3182139227] [Citation(s) in RCA: 12] [Impact Index Per Article: 0.9] [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] [Indexed: 11/06/2022]
Abstract
Genome-wide association studies (GWASs) have identified polymorphic loci associated with coronary artery disease (CAD) risk factors (i.e. serum lipids) in adult populations (42-69 y). We hypothesized that younger populations would show a greater relative genetic component due to fewer confounding variables. We examined the influence of 20 GWAS loci associated with serum lipids and insulin metabolism, in a university student cohort (n = 548; mean age = 24 y), and replicated statistically associated results in a second study cohort of primary school students (n = 810, mean age = 11.5 y). Nineteen loci showed no relationship with studied risk factors in young adults. However, the ancestral allele of the rs646776 (SORT1) locus was strongly associated with increased LDL (C) in young adults [TT: 97.6 ± 1.0 mg/dL (n = 345) versus CT/CC: 87.3 ± 1.0 mg/dL (n = 203); p = 3 × 10(x6)] and children [TT: 94.0 ± 1.3 mg/dL (n = 551) versus CT/CC: 84.7 ± 1.4 mg/dL (n = 259); p = 4 × 10(x6)]. This locus is responsible for 3.6% of population variance in young adults and 2.5% of population variance in children. The effect size of the SORT1 locus is considerably higher in young populations (2.5-4.1%) compared with older subjects (1%).
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Affiliation(s)
- Joseph M Devaney
- Department of Integrative Systems Biology, Research Center for Genetic Medicine, Children's National Medical Center, Washington, DC 20010, USA
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43
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Walsh S, Haddad CJ, Angelopoulos TJ, Clarkson PM, Gordon PM, Moyna NM, Visich PS, Zoeller RF, Bilbie S, Seip RL, Thompson PD, Devaney JM, Gordish-Dressman H, Hoffman EP, Price TB, Pescatello LS. Leptin and Leptin Receptor Genetic Variants Associate with Habitual Physical Activity and Body Composition Changes in Response to Resistance Training. Med Sci Sports Exerc 2011. [DOI: 10.1249/01.mss.0000403122.44385.d1] [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: 11/21/2022]
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44
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Peterson MD, Gordish-Dressman H, Hubal M, Pistilli E, Angelopoulos TJ, Clarkson PM, Moyna NM, Pescatello LS, Seip RL, Visich PS, Zoeller RF, Thompson PD, Devaney JM, Hoffman EP, Gordon PM. Homeostasis Model Assessment Of Insulin Resistance Is Inversely Associated With The Adaptive Strength Response To Resistance Exercise In Adults. Med Sci Sports Exerc 2011. [DOI: 10.1249/01.mss.0000402798.99203.30] [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: 11/21/2022]
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45
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Schunkert H, König IR, Kathiresan S, Reilly MP, Assimes TL, Holm H, Preuss M, Stewart AFR, Barbalic M, Gieger C, Absher D, Aherrahrou Z, Allayee H, Altshuler D, Anand SS, Andersen K, Anderson JL, Ardissino D, Ball SG, Balmforth AJ, Barnes TA, Becker DM, Becker LC, Berger K, Bis JC, Boekholdt SM, Boerwinkle E, Braund PS, Brown MJ, Burnett MS, Buysschaert I, Carlquist CJF, Chen L, Cichon S, Codd V, Davies RW, Dedoussis G, Dehghan A, Demissie S, Devaney JM, Do R, Doering A, Eifert S, El Mokhtari NE, Ellis SG, Elosua R, Engert JC, Epstein SE, Faire UD, Fischer M, Folsom AR, Freyer J, Gigante B, Girelli D, Gretarsdottir S, Gudnason V, Gulcher JR, Halperin E, Hammond N, Hazen SL, Hofman A, Horne BD, Illig T, Iribarren C, Jones GT, Jukema J, Kaiser MA, Kaplan LM, Kastelein JJ, Khaw KT, Knowles JW, Kolovou G, Kong A, Laaksonen R, Lambrechts D, Leander K, Lettre G, Li M, Lieb W, Linsel-Nitschke P, Loley C, Lotery AJ, Mannucci PM, Maouche S, Martinelli N, McKeown PP, Meisinger C, Meitinger T, Melander O, Merlini PA, Mooser V, Morgan T, Mühleisen TW, Muhlestein JB, Münzel T, Musunuru K, Nahrstaedt J, Nelson CP, Nöthen MM, Olivieri O, Patel RS, Patterson CC, Peters A, Peyvandi F, Qu L, Quyyumi AA, Rader DJ, Rallidis LS, Rice C, Rosendaal FR, Rubin D, Salomaa V, Sampietro ML, Sandhu MS, Schadt E, Schäfer A, Schillert A, Schreiber S, Schrezenmeir J, Schwartz SM, Siscovick DS, Sivananthan M, Sivapalaratnam S, Smith A, Smith TB, Snoep JD, Soranzo N, Spertus JA, Stark K, Stirrups K, Stoll M, Tang WHW, Tennstedt S, Thorgeirsson G, Thorleifsson G, Tomaszewski M, Uitterlinden AG, van Rij AM, Voight BF, Wareham NJ, Wells GA, Wichmann HE, Wild PS, Willenborg C, Witteman JCM, Wright BJ, Ye S, Zeller T, Ziegler A, Cambien F, Goodall AH, Cupples LA, Quertermous T, März W, Hengstenberg C, Blankenberg S, Ouwehand WH, Hall AS, Deloukas P, Thompson JR, Stefansson K, Roberts R, Thorsteinsdottir U, O’Donnell CJ, McPherson R, Erdmann J, Samani NJ, Samani NJ. Large-scale association analysis identifies 13 new susceptibility loci for coronary artery disease. Nat Genet 2011; 43:333-8. [PMID: 21378990 PMCID: PMC3119261 DOI: 10.1038/ng.784] [Citation(s) in RCA: 1396] [Impact Index Per Article: 107.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/10/2010] [Accepted: 02/10/2011] [Indexed: 02/07/2023]
Abstract
We performed a meta-analysis of 14 genome-wide association studies of coronary artery disease (CAD) comprising 22,233 individuals with CAD (cases) and 64,762 controls of European descent followed by genotyping of top association signals in 56,682 additional individuals. This analysis identified 13 loci newly associated with CAD at P < 5 × 10⁻⁸ and confirmed the association of 10 of 12 previously reported CAD loci. The 13 new loci showed risk allele frequencies ranging from 0.13 to 0.91 and were associated with a 6% to 17% increase in the risk of CAD per allele. Notably, only three of the new loci showed significant association with traditional CAD risk factors and the majority lie in gene regions not previously implicated in the pathogenesis of CAD. Finally, five of the new CAD risk loci appear to have pleiotropic effects, showing strong association with various other human diseases or traits.
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Affiliation(s)
| | - Inke R. König
- Institut für Medizinische Biometrie und Statistik, Universität zu Lübeck, Lübeck, Germany
| | - Sekar Kathiresan
- Cardiovascular Research Center and Cardiology Division, Massachusetts General Hospital, Boston, MA, USA,Center for Human Genetic Research, Massachusetts General Hospital, Boston, MA, USA,Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Muredach P. Reilly
- The Cardiovascular Institute, University of Pennsylvania, Philadelphia, Pennsylvania 19104, USA
| | | | | | - Michael Preuss
- Universität zu Lübeck, Medizinische Klinik II, Lübeck, Germany,Institut für Medizinische Biometrie und Statistik, Universität zu Lübeck, Lübeck, Germany
| | - Alexandre F. R. Stewart
- The John & Jennifer Ruddy Canadian Cardiovascular Genetics Centre, University of Ottawa Heart Institute, Ottawa, Canada
| | - Maja Barbalic
- University of Texas Health Science Center, Human Genetics Center, Houston, TX, USA
| | - Christian Gieger
- Institute of Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany
| | - Devin Absher
- Hudson Alpha Institute, Huntsville, Alabama, USA
| | | | - Hooman Allayee
- Department of Preventive Medicine University of Southern California Los Angeles, CA USA
| | - David Altshuler
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA,Department of Molecular Biology and Center for Human Genetic Research, Massachusetts General Hospital, Harvard Medical School, Boston, USA
| | - Sonia S. Anand
- Population Health Research Institute, Hamiliton Health Sciences and McMaster University, Hamilton, Ontario, Canada
| | - Karl Andersen
- Department of Medicine, Landspitali University Hospital, 101 Reykjavik, Iceland,University of Iceland, Faculty of Medicine, 101 Reykjavik, Iceland
| | - Jeffrey L. Anderson
- Cardiovascular Department, Intermountain Medical Center; Cardiology Division, University of Utah. Salt Lake City, UT, USA
| | - Diego Ardissino
- Division of Cardiology, Azienda Ospedaliero-Universitaria di Parma, Parma, Italy
| | - Stephen G. Ball
- LIGHT Research Institute, Faculty of Medicine and Health, University of Leeds, Leeds, UK,Division of Cardiovascular and Neuronal Remodelling, Multidisciplinary Cardiovascular Research Centre, Leeds Institute of Genetics, Health and Therapeutics, University of Leeds, Leeds, UK
| | - Anthony J. Balmforth
- Division of Cardiovascular and Diabetes Research, Multidisciplinary Cardiovascular Research Centre, Leeds Institute of Genetics, Health and Therapeutics, University of Leeds, Leeds, LS2 9JT, UK
| | - Timothy A. Barnes
- Department of Cardiovascular Sciences, University of Leicester, Clinical Sciences Wing, Glenfield Hospital, Leicester, LE3 9QP, UK
| | - Diane M. Becker
- The Johns Hopkins University School of Medicine, Division of General Internal Medicine, Baltimore, MD 21287
| | - Lewis C. Becker
- The Johns Hopkins University School of Medicine, Division of General Internal Medicine, Baltimore, MD 21287
| | - Klaus Berger
- Institute of Epidemiology and Social Medicine, University of Münster, Germany
| | - Joshua C. Bis
- Cardiovascular Health Resarch Unit and Department of Medicine, University of Washington, Seattle, WA USA
| | - S. Matthijs Boekholdt
- Department of Vascular Medicine, Academic Medical Center, Amsterdam, The Netherlands,Department of Cardiology, Academic Medical Center, Amsterdam, The Netherlands
| | - Eric Boerwinkle
- University of Texas Health Science Center, Human Genetics Center, Houston, TX, USA
| | - Peter S. Braund
- Department of Cardiovascular Sciences, University of Leicester, Clinical Sciences Wing, Glenfield Hospital, Leicester, LE3 9QP, UK
| | - Morris J. Brown
- Clinical Pharmacology Unit, University of Cambridge, Cambridge, UK
| | - Mary Susan Burnett
- Cardiovascular Research Institute, Medstar Health Research Institute, Washington Hospital Center, Washington, DC 20010, USA
| | - Ian Buysschaert
- Department of Cardiology, University Hospital Gasthuisberg, Leuven, Belgium,Vesalius Research Center, VIB-KULeuven, Leuven, Belgium
| | | | - Li Chen
- Cardiovascular Research Methods Centre, University of Ottawa Heart Institute, 40 Ruskin Street, Ottawa, Ontario, Canada, K1Y 4W7
| | - Sven Cichon
- Institute of Human Genetics, University of Bonn, Bonn, Germany,Department of Genomics, Life & Brain Center, University of Bonn, Bonn, Germany,Institute of Neuroscience and Medicine (INM-1), Research Center Juelich, Juelich, Germany
| | - Veryan Codd
- Department of Cardiovascular Sciences, University of Leicester, Clinical Sciences Wing, Glenfield Hospital, Leicester, LE3 9QP, UK
| | - Robert W. Davies
- The Cardiovascular Research Methods, University of Ottawa Heart Institute, Ottawa, Ontario, Canada
| | - George Dedoussis
- Department of Dietetics-Nutrition, Harokopio University, 17671 Athens, Greece
| | - Abbas Dehghan
- Department of Epidemiology, Erasmus Medical Center, Rotterdam, The Netherlands,Member of Netherlands Consortium for Healthy Aging (NCHA) sponsored by Netherlands Genomics Initiative (NGI), Leiden, The Netherlands
| | - Serkalem Demissie
- Department of Biostatistics, Boston University School of Public Health, Boston, MA USA,National Heart, Lung and Blood Institute's Framingham Heart Study, Framingham, MA, USA
| | - Joseph M. Devaney
- Cardiovascular Research Institute, Medstar Health Research Institute, Washington Hospital Center, Washington, DC 20010, USA
| | - Ron Do
- Department of Human Genetics, McGill University, Montreal, Canada
| | - Angela Doering
- Institute of Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany
| | | | | | - Stephen G. Ellis
- Department Cardiovascular Medicine, Cleveland Clinic, Cleveland, USA
| | - Roberto Elosua
- Cardiovascular Epidemiology and Genetics Group, Institut Municipal d’Investigació Mèdica, Barcelona; Ciber Epidemiología y Salud Pública (CIBERSP), Spain
| | - James C. Engert
- Department of Human Genetics, McGill University, Montreal, Canada,Department of Medicine, McGill University, Montreal, Canada
| | - Stephen E. Epstein
- Cardiovascular Research Institute, Medstar Health Research Institute, Washington Hospital Center, Washington, DC 20010, USA
| | - Ulf de Faire
- Division of Cardiovascular Epidemiology, Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden,Department of Cardiology, Karolinska University Hospital, Stockholm, Sweden
| | - Marcus Fischer
- Klinik und Poliklinik für Innere Medizin II, Universität Regensburg, Regensburg, Germany
| | - Aaron R. Folsom
- University of Minnesota School of Public Health, Division of Epidemiology and Community Health, School of Public Health (A.R.F.), Minneapolis, Minn.; USA
| | - Jennifer Freyer
- Universität zu Lübeck, Medizinische Klinik II, Lübeck, Germany
| | - Bruna Gigante
- Division of Cardiovascular Epidemiology, Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden,Department of Cardiology, Karolinska University Hospital, Stockholm, Sweden
| | | | | | - Vilmundur Gudnason
- University of Iceland, Faculty of Medicine, 101 Reykjavik, Iceland,Icelandic Heart Association, Kopavogur Iceland
| | | | - Eran Halperin
- The Blavatnik School of Computer Science , Tel-Aviv University, Tel-Aviv, Israel,Department of Molecular Microbiology and Biotechnology, Tel-Aviv University, Tel-Aviv, Israel,International Computer Science Institute, Berkeley, CA, USA
| | - Naomi Hammond
- Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, UK
| | | | - Albert Hofman
- Department of Epidemiology, Erasmus Medical Center, Rotterdam, The Netherlands
| | - Benjamin D. Horne
- Cardiovascular Department, Intermountain Medical Center; Cardiology Division, University of Utah. Salt Lake City, UT, USA
| | - Thomas Illig
- Institute of Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany
| | - Carlos Iribarren
- Division of Research, Kaiser Permanente of Northern California, Oakland, California, USA
| | - Gregory T. Jones
- Surgery Department, Dunedin School of Medicine, University of Otago, New Zealand
| | - J.Wouter Jukema
- Department of Cardiology C5-P, Leiden University Medical Center, Leiden, The Netherlands,Durrer Center for Cardiogenetic Research, Amsterdam, The Netherlands
| | - Michael A. Kaiser
- Department of Cardiovascular Sciences, University of Leicester, Clinical Sciences Wing, Glenfield Hospital, Leicester, LE3 9QP, UK
| | | | - John J.P. Kastelein
- Dept. Vascular Medicine, Academic Medical Center, University of Amsterdam, Amsterdam, The Netherlands
| | - Kay-Tee Khaw
- Department of Public Health and Primary Care, Strangeways Research Laboratory, University of Cambridge, Cambridge, UK
| | - Joshua W. Knowles
- Department of Medicine, Stanford University School of Medicine, Stanford, CA, USA
| | - Genovefa Kolovou
- 1st Cardiology Department, Onassis Cardiac Surgery Center, 356 Sygrou Avenue, 17674 Athens, Greece
| | | | - Reijo Laaksonen
- Science Center, Tampere University Hospital, Tampere, Finland
| | | | - Karin Leander
- Division of Cardiovascular Epidemiology, Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
| | - Guillaume Lettre
- Montreal Heart Institute, Montréal, Québec, H1T 1C8, Canada,Département de Médecine, Université de Montréal, C.P. 6128, succursale Centre-ville, Montréal, Québec, H3C 3J7, Canada
| | - Mingyao Li
- Biostatistics and Epidemiology, University of Pennsylvania, Philadelphia, PA, USA
| | - Wolfgang Lieb
- Universität zu Lübeck, Medizinische Klinik II, Lübeck, Germany
| | | | - Christina Loley
- Universität zu Lübeck, Medizinische Klinik II, Lübeck, Germany,Institut für Medizinische Biometrie und Statistik, Universität zu Lübeck, Lübeck, Germany
| | - Andrew J. Lotery
- Clinical Neurosciences Division, School of Medicine, University of Southampton, Southampton, UK,Southampton Eye Unit, Southampton General Hospital, Southampton, UK
| | - Pier M. Mannucci
- Scientific Direction, IRCCS Fondazione Cà Granda, Ospedale Maggiore Policlinico, Milano, Italy
| | - Seraya Maouche
- Universität zu Lübeck, Medizinische Klinik II, Lübeck, Germany
| | | | - Pascal P. McKeown
- Centre for Public Health, Queen’s University Belfast, Institute of Clinical Science, Belfast, Northern Ireland, UK
| | - Christa Meisinger
- Institute of Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany
| | - Thomas Meitinger
- Institute of Human Genetics, Helmholtz Zentrum München, Deutsches Forschungszentrum für Umwelt und Gesundheit, Neuherberg, Germany,Institute of Human Genetics, Technische Universität München, Klinikum rechts der Isar, Munich, Germany
| | - Olle Melander
- Department of Clinical Sciences, Hypertension and Cardiovascular Diseases, Scania University Hospital, Lund University, Malmö, Sweden
| | | | - Vincent Mooser
- Genetics Division and Drug Discovery, GlaxoSmithKline, King of Prussia, Pennsylvania 19406, USA
| | - Thomas Morgan
- Department of Pediatrics, Vanderbilt University School of Medicine, Nashville
| | - Thomas W. Mühleisen
- Institute of Human Genetics, University of Bonn, Bonn, Germany,Department of Genomics, Life & Brain Center, University of Bonn, Bonn, Germany
| | - Joseph B. Muhlestein
- Cardiovascular Department, Intermountain Medical Center; Cardiology Division, University of Utah. Salt Lake City, UT, USA
| | - Thomas Münzel
- 2. Medizinische Klinik und Poliklinik, Universitätsmedizin Mainz, Johannes-Gutenberg Universität Mainz, Germany
| | - Kiran Musunuru
- Cardiovascular Research Center and Cardiology Division, Massachusetts General Hospital, Boston, MA, USA,Center for Human Genetic Research, Massachusetts General Hospital, Boston, MA, USA,Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Janja Nahrstaedt
- Universität zu Lübeck, Medizinische Klinik II, Lübeck, Germany,Institut für Medizinische Biometrie und Statistik, Universität zu Lübeck, Lübeck, Germany
| | - Christopher P. Nelson
- Division of Cardiovascular and Diabetes Research, Multidisciplinary Cardiovascular Research Centre, Leeds Institute of Genetics, Health and Therapeutics, University of Leeds, Leeds, LS2 9JT, UK
| | - Markus M. Nöthen
- Institute of Human Genetics, University of Bonn, Bonn, Germany,Department of Genomics, Life & Brain Center, University of Bonn, Bonn, Germany
| | | | - Riyaz S. Patel
- Emory University School of Medicine, Atlanta GA, USA,Cardiff University, Cardiff, Wales, UK CF10 3XQ
| | - Chris C. Patterson
- Centre for Public Health, Queen’s University Belfast, Institute of Clinical Science, Belfast, Northern Ireland, UK
| | - Annette Peters
- Institute of Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany
| | - Flora Peyvandi
- A. Bianchi Bonomi Hemophilia and Thrombosis Center, Department of Medicine and Medical Specialties, Fondazione IRCCS Ca Granda, Ospedale Maggiore Policlinico, Università degli Studi di Milano and Luigi Villa Foundation, Milan, Italy
| | - Liming Qu
- Biostatistics and Epidemiology, University of Pennsylvania, Philadelphia, PA, USA
| | | | - Daniel J. Rader
- The Cardiovascular Institute, University of Pennsylvania, Philadelphia, Pennsylvania 19104, USA,The Institute for Translational Medicine and Therapeutics, School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Loukianos S. Rallidis
- Second Department of Cardiology, Attikon Hospital, School of Medicine, University of Athens, Athens, Greece
| | - Catherine Rice
- Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, UK
| | - Frits R. Rosendaal
- Department of Clinical Epidemiology, Leiden University Medical Center, Leiden, The Netherlands,Department of Thrombosis and Haemostasis, Leiden University Medical Center, Leiden, The Netherlands,Einthoven Laboratory for Experimental Vascular Medicine, Leiden University Medical Center, Leiden, The Netherlands
| | - Diana Rubin
- Medizinische Klinik I, Universitätsklinikum Schleswig-Holstein, Campus Kiel, Kiel, Germany
| | - Veikko Salomaa
- Chronic Disease Epidemiology and Prevention Unit, Department of Chronic Disease Prevention, National Institute for Health and Welfare, Helsinki, Finland
| | - M. Lourdes Sampietro
- Department of Human Genetics and Cardiology, Leiden University Medical Center, Leiden, the Netherlands
| | - Manj S. Sandhu
- Manjinder S Sandhu, Genetic Epidemiology Group, Wellcome Trust Sanger Institute, Cambridge, UK,Department of Public Health & Primary Care, Strangeways Research Laboratory, University of Cambridge, UK
| | - Eric Schadt
- Pacific Biosciences, 1505 Adams Drive, Menlo Park, CA 94025,Sage Bionetworks, Palo Alto, CA 94301
| | - Arne Schäfer
- Institut für Klinische Molekularbiologie, Christian-Albrechts Universität, Kiel, Germany
| | - Arne Schillert
- Institut für Medizinische Biometrie und Statistik, Universität zu Lübeck, Lübeck, Germany
| | - Stefan Schreiber
- Institut für Klinische Molekularbiologie, Christian-Albrechts Universität, Kiel, Germany
| | - Jürgen Schrezenmeir
- Institute of Physiology and Biochemistry of Nutrition, Max Rubner-Institute, Kiel, Germany,Clinical Research Center Kiel, Kiel Innovation and Technology Center, Kiel, Germany
| | - Stephen M. Schwartz
- Cardiovascular Health Resarch Unit and Department of Medicine, University of Washington, Seattle, WA USA
| | - David S. Siscovick
- Cardiovascular Health Resarch Unit and Department of Medicine, University of Washington, Seattle, WA USA
| | | | | | - Albert Smith
- University of Iceland, Faculty of Medicine, 101 Reykjavik, Iceland,Icelandic Heart Association, Kopavogur Iceland
| | - Tamara B. Smith
- Laboratory of Epidemiology, Demography, and Biometry, Intramural Research Program, National Institute on Aging, National Institutes of Health, Bethesda MD, USA
| | - Jaapjan D. Snoep
- Department of Clinical Epidemiology, Leiden University Medical Center, Leiden, The Netherlands
| | - Nicole Soranzo
- Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, UK
| | - John A. Spertus
- Mid America Heart Institute and University of Missouri-Kansas City, Kansas City
| | - Klaus Stark
- Klinik und Poliklinik für Innere Medizin II, Universität Regensburg, Regensburg, Germany
| | - Kathy Stirrups
- Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, UK
| | - Monika Stoll
- Leibniz-Institute for Arteriosclerosis Research, University of Münster, Münster, Germany
| | - W. H. Wilson Tang
- Department Cardiovascular Medicine, Cleveland Clinic, Cleveland, USA
| | | | - Gudmundur Thorgeirsson
- Department of Medicine, Landspitali University Hospital, 101 Reykjavik, Iceland,University of Iceland, Faculty of Medicine, 101 Reykjavik, Iceland
| | | | - Maciej Tomaszewski
- Department of Cardiovascular Sciences, University of Leicester, Clinical Sciences Wing, Glenfield Hospital, Leicester, LE3 9QP, UK,Leicester National Institute for Health Research Biomedical Research Unit in Cardiovascular Disease, Glenfield Hospital, Leicester, LE3 9QP, UK
| | - Andre G. Uitterlinden
- Department of Epidemiology, Erasmus Medical Center, Rotterdam, The Netherlands,Member of Netherlands Consortium for Healthy Aging (NCHA) sponsored by Netherlands Genomics Initiative (NGI), Leiden, The Netherlands,Department of Internal Medicine, Erasmus Medical Center, Rotterdam, The Netherlands
| | - Andre M. van Rij
- Surgery Department, Dunedin School of Medicine, University of Otago, New Zealand
| | - Benjamin F. Voight
- Center for Human Genetic Research, Massachusetts General Hospital, Boston, MA, USA,Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA,Department of Medicine, Harvard Medical School, Boston, MA, USA
| | - Nick J. Wareham
- MRC Epidemiology Unit, Institute of Metabolic Science, Addenbrooke's Hospital, Cambridge, UK
| | - George A. Wells
- The Cardiovascular Research Methods, University of Ottawa Heart Institute, Ottawa, Ontario, Canada
| | - H.-Erich Wichmann
- Institute of Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany,Klinikum Grosshadern, Munich, Germany,Institute of Medical Information Science, Biometry and Epidemiology, Ludwig-Maximilians-Universität München, Germany
| | - Philipp S. Wild
- 2. Medizinische Klinik und Poliklinik, Universitätsmedizin Mainz, Johannes-Gutenberg Universität Mainz, Germany
| | - Christina Willenborg
- Universität zu Lübeck, Medizinische Klinik II, Lübeck, Germany,Institut für Medizinische Biometrie und Statistik, Universität zu Lübeck, Lübeck, Germany
| | - Jaqueline C. M. Witteman
- Department of Epidemiology, Erasmus Medical Center, Rotterdam, The Netherlands,Member of Netherlands Consortium for Healthy Aging (NCHA) sponsored by Netherlands Genomics Initiative (NGI), Leiden, The Netherlands
| | - Benjamin J. Wright
- Department of Cardiovascular Surgery, University of Leicester, Leicester, UK
| | - Shu Ye
- William Harvey Research Institute, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, London, UK
| | - Tanja Zeller
- 2. Medizinische Klinik und Poliklinik, Universitätsmedizin Mainz, Johannes-Gutenberg Universität Mainz, Germany
| | - Andreas Ziegler
- Institut für Medizinische Biometrie und Statistik, Universität zu Lübeck, Lübeck, Germany
| | - Francois Cambien
- INSERM UMRS 937, Pierre and Marie Curie University, UPMC-Paris 6, Faculté de Médecine Pierre et Marie Curie, Paris, France
| | - Alison H. Goodall
- Department of Cardiovascular Sciences, University of Leicester, Clinical Sciences Wing, Glenfield Hospital, Leicester, LE3 9QP, UK,Leicester National Institute for Health Research Biomedical Research Unit in Cardiovascular Disease, Glenfield Hospital, Leicester, LE3 9QP, UK
| | - L. Adrienne Cupples
- Department of Biostatistics, Boston University School of Public Health, Boston, MA USA,National Heart, Lung and Blood Institute's Framingham Heart Study, Framingham, MA, USA
| | - Thomas Quertermous
- Department of Medicine, Stanford University School of Medicine, Stanford, CA, USA
| | - Winfried März
- Synlab Center of Laboratory Diagnostics Heidelberg, Heidelberg, Germany,Clinical Institute of Medical and Chemical Laboratory Diagnostics, Medical University of Graz, Graz, Austria,Institute of Public Health, Social and Preventive Medicine, Medical Faculty Manneim, University of Heidelberg, Germany
| | - Christian Hengstenberg
- Klinik und Poliklinik für Innere Medizin II, Universität Regensburg, Regensburg, Germany
| | - Stefan Blankenberg
- 2. Medizinische Klinik und Poliklinik, Universitätsmedizin Mainz, Johannes-Gutenberg Universität Mainz, Germany
| | - Willem H. Ouwehand
- Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, UK,Department of Haematology, University of Cambridge and NHS Blood and Transplant, Cambridge, UK
| | - Alistair S. Hall
- Division of Cardiovascular and Neuronal Remodelling, Multidisciplinary Cardiovascular Research Centre, Leeds Institute of Genetics, Health and Therapeutics, University of Leeds, Leeds, UK
| | - Panos Deloukas
- Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, UK
| | - John R. Thompson
- Department of Health Sciences, University of Leicester, Leicester, UK
| | - Kari Stefansson
- deCODE Genetics, 101 Reykjavik, Iceland,University of Iceland, Faculty of Medicine, 101 Reykjavik, Iceland
| | - Robert Roberts
- The John & Jennifer Ruddy Canadian Cardiovascular Genetics Centre, University of Ottawa Heart Institute, Ottawa, Canada
| | - Unnur Thorsteinsdottir
- deCODE Genetics, 101 Reykjavik, Iceland,University of Iceland, Faculty of Medicine, 101 Reykjavik, Iceland
| | | | - Ruth McPherson
- The John & Jennifer Ruddy Canadian Cardiovascular Genetics Centre, University of Ottawa Heart Institute, Ottawa, Canada,Atherogenomics Laboratory, University of Ottawa Heart Institute, Ottawa, Canada
| | | | - Nilesh J. Samani
- Department of Cardiovascular Sciences, University of Leicester, Clinical Sciences Wing, Glenfield Hospital, Leicester, LE3 9QP, UK,Leicester National Institute for Health Research Biomedical Research Unit in Cardiovascular Disease, Glenfield Hospital, Leicester, LE3 9QP, UK
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Orkunoglu-Suer FE, Harmon BT, Gordish-Dressman H, Clarkson PM, Thompson PD, Angelopoulos TJ, Gordon PM, Hubal MJ, Moyna NM, Pescatello LS, Visich PS, Zoeller RF, Hoffman EP, Devaney JM. MC4R variant is associated with BMI but not response to resistance training in young females. Obesity (Silver Spring) 2011; 19:662-6. [PMID: 20725061 PMCID: PMC4147947 DOI: 10.1038/oby.2010.180] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.2] [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] [Indexed: 11/08/2022]
Abstract
UNLABELLED Recently, a genome-wide association study (GWAS) that identified eight single-nucleotide polymorphisms (SNPs) associated with BMI highlighted a possible neuronal influence on the development of obesity. We hypothesized these SNPs would govern the response of BMI and subcutaneous fat to resistance training in young individuals (age = 24 years). We genotyped the eight GWAS-identified SNPs in the article by Willer et al. in a cohort (n = 796) that undertook a 12-week resistance-training program. Females with a copy of the rare allele (C) for rs17782313 (MC4R) had significantly higher BMIs ( CC/CT n = 174; 24.70 ± 0.33 kg/m², TT: n = 278; 23.41 ± 0.26 kg/m², P = 0.002), and the SNP explained 1.9% of overall variation in BMI. Males with a copy of the rare allele (T) for rs6548238 (TMEM18) had lower amounts of subcutaneous fat pretraining (CT/TT: n = 65; 156,534 ± 7,415 mm³, CC: n = 136; 177,825 ± 5,139 mm³, P = 0.019) and males with a copy of the rare allele (A) for rs9939609 (FTO) lost a significant amount of subcutaneous fat with exercise ( AT/AA n = 83; -798.35 ± 2,624.30 mm³, TT: n = 47; 9,435.23 ± 3,494.44 mm³, P = 0.021). Females with a copy of the G allele for a missense variant in the SH2B1 (rs7498665) was associated with less change of subcutaneous fat volume with exercise ( AG/GG n = 191; 9,813 ± 2,250 mm³ vs. AA: n = 126; 770 ± 2,772 mm³; P = 0.011). These data support the original finding that there is an association between measures of obesity and a variant near the MC4R gene and extends these results to a younger population and implicates FTO, TMEM18, and SH2B1 polymorphisms in subcutaneous fat regulation.
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Affiliation(s)
- Funda E. Orkunoglu-Suer
- Research Center for Genetic Medicine, Children’s National Medical Center, Washington, DC, USA
| | - Brennan T Harmon
- Research Center for Genetic Medicine, Children’s National Medical Center, Washington, DC, USA
| | | | | | - Paul D. Thompson
- Division of Cardiology, Henry Low Heart Center, Hartford Hospital, Hartford, Connecticut, USA
| | - Theodore J. Angelopoulos
- Center for Lifestyle Medicine, Department of Health Professions, University of Central Florida, Orlando, Florida, USA
| | - Paul M. Gordon
- Laboratory for Physical Activity and Exercise Intervention Research, University of Michigan, Ann Arbor, Michigan, USA
| | - Monica J. Hubal
- Research Center for Genetic Medicine, Children’s National Medical Center, Washington, DC, USA
| | - Niall M. Moyna
- School of Health and Human Performance, Dublin City University, Dublin, Ireland
| | - Linda S. Pescatello
- Department of Kinesiology, Human Performance Laboratory, University of Connecticut, Storrs, Connecticut, USA
| | - Paul S. Visich
- Human Performance Laboratory, Central Michigan University, Mount Pleasant, Michigan, USA
| | - Robert F. Zoeller
- Department of Exercise Science and Health Promotion, Florida Atlantic University, Davie, Florida, USA
| | - Eric P. Hoffman
- Research Center for Genetic Medicine, Children’s National Medical Center, Washington, DC, USA
| | - Joseph M. Devaney
- Research Center for Genetic Medicine, Children’s National Medical Center, Washington, DC, USA
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Devaney JM, Gordish-Dressman H, Harmon BT, Bradbury MK, Devaney SA, Harris TB, Thompson PD, Clarkson PM, Price TB, Angelopoulos TJ, Gordon PM, Moyna NM, Pescatello LS, Visich PS, Zoeller RF, Seip RL, Seo J, Kim BH, Tosi LL, Garcia M, Li R, Zmuda JM, Delmonico MJ, Lindsay RS, Howard BV, Kraus WE, Hoffman EP. AKT1 polymorphisms are associated with risk for metabolic syndrome. Hum Genet 2011; 129:129-39. [PMID: 21061022 PMCID: PMC3020305 DOI: 10.1007/s00439-010-0910-8] [Citation(s) in RCA: 23] [Impact Index Per Article: 1.8] [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: 06/10/2010] [Accepted: 10/17/2010] [Indexed: 12/31/2022]
Abstract
Converging lines of evidence suggest that AKT1 is a major mediator of the responses to insulin, insulin-like growth factor 1 (IGF1), and glucose. AKT1 also plays a key role in the regulation of both muscle cell hypertrophy and atrophy. We hypothesized that AKT1 variants may play a role in the endophenotypes that make up metabolic syndrome. We studied a 12-kb region including the first exon of the AKT1 gene for association with metabolic syndrome-related phenotypes in four study populations [FAMUSS cohort (n = 574; age 23.7 ± 5.7 years), Strong Heart Study (SHS) (n = 2,134; age 55.5 ± 7.9 years), Dynamics of Health, Aging and Body Composition (Health ABC) (n = 3,075; age 73.6 ± 2.9 years), and Studies of a Targeted Risk Reduction Intervention through Defined Exercise (STRRIDE) (n = 175; age 40–65 years)]. We identified a three SNP haplotype that we call H1, which represents the ancestral alleles at the three loci and H2, which represents the derived alleles at the three loci. In young adult European Americans (FAMUSS), H1 was associated with higher fasting glucose levels in females. In middle age Native Americans (SHS), H1 carriers showed higher fasting insulin and HOMA in males, and higher BMI in females. In older African-American and European American subjects (Health ABC) H1 carriers showed a higher incidence of metabolic syndrome. Homozygotes for the H1 haplotype showed about twice the risk of metabolic syndrome in both males and females (p < 0.001). In middle-aged European Americans with insulin resistance (STRRIDE) studied by intravenous glucose tolerance test (IVGTT), H1 carriers showed increased insulin resistance due to the Sg component (p = 0.021). The 12-kb haplotype is a risk factor for metabolic syndrome and insulin resistance that needs to be explored in further populations.
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Affiliation(s)
- Joseph M. Devaney
- Department of Integrative Systems Biology, Research Center for Genetic Medicine, Children’s National Medical Center, 111 Michigan Ave. NW, Washington, DC, 20010 USA
| | - Heather Gordish-Dressman
- Department of Integrative Systems Biology, Research Center for Genetic Medicine, Children’s National Medical Center, 111 Michigan Ave. NW, Washington, DC, 20010 USA
| | - Brennan T. Harmon
- Department of Integrative Systems Biology, Research Center for Genetic Medicine, Children’s National Medical Center, 111 Michigan Ave. NW, Washington, DC, 20010 USA
| | - Margaret K. Bradbury
- Department of Integrative Systems Biology, Research Center for Genetic Medicine, Children’s National Medical Center, 111 Michigan Ave. NW, Washington, DC, 20010 USA
| | - Stephanie A. Devaney
- Department of Integrative Systems Biology, Research Center for Genetic Medicine, Children’s National Medical Center, 111 Michigan Ave. NW, Washington, DC, 20010 USA
| | - Tamara B. Harris
- National Institute of Aging, National Institutes of Health, Bethesda, MD 20892 USA
| | - Paul D. Thompson
- Division of Cardiology, Henry Low Heart Center, Hartford Hospital, Hartford, CT 06102 USA
| | | | - Thomas B. Price
- Division of Cardiology, Henry Low Heart Center, Hartford Hospital, Hartford, CT 06102 USA
- Department of Diagnostic Radiology, Yale University School of Medicine, New Haven, CT 06520 USA
| | - Theodore J. Angelopoulos
- Department of Health Professions, Center for Lifestyle Medicine, University of Central Florida, Orlando, FL 32816 USA
| | - Paul M. Gordon
- Laboratory for Physical Activity and Exercise Intervention Research, University of Michigan, Ann Arbor, MI 48108 USA
| | - Niall M. Moyna
- Department of Sport Science and Health, Dublin City University, Dublin 9, Ireland
| | | | - Paul S. Visich
- Human Performance Laboratory, Central Michigan University, Mount Pleasant, MI 48859 USA
| | - Robert F. Zoeller
- Department of Exercise Science and Health Promotion, Florida Atlantic University, Davie, FL 33314 USA
| | - Richard L. Seip
- Division of Cardiology, Henry Low Heart Center, Hartford Hospital, Hartford, CT 06102 USA
| | - Jinwook Seo
- Department of Integrative Systems Biology, Research Center for Genetic Medicine, Children’s National Medical Center, 111 Michigan Ave. NW, Washington, DC, 20010 USA
| | | | - Laura L. Tosi
- Orthopedic Surgery and Sports Medicine, Children’s National Medical Center, Washington, DC, 20010 USA
| | - Melissa Garcia
- National Institute of Aging, National Institutes of Health, Bethesda, MD 20892 USA
| | - Rongling Li
- Department of Preventive Medicine, University of Tennessee, Memphis, TN 39163 USA
| | - Joseph M. Zmuda
- Department of Epidemiology and Human Genetics, University of Pittsburgh, Pittsburgh, PA 15261 USA
| | | | | | | | - William E. Kraus
- Duke Center for Living, Duke University Medical Center, Durham, NC 27710 USA
| | - Eric P. Hoffman
- Department of Integrative Systems Biology, Research Center for Genetic Medicine, Children’s National Medical Center, 111 Michigan Ave. NW, Washington, DC, 20010 USA
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Reilly MP, Li M, He J, Ferguson JF, Stylianou IM, Mehta NN, Burnett MS, Devaney JM, Knouff CW, Thompson JR, Horne BD, Stewart AFR, Assimes TL, Wild PS, Allayee H, Nitschke PL, Patel RS, Martinelli N, Girelli D, Quyyumi AA, Anderson JL, Erdmann J, Hall AS, Schunkert H, Quertermous T, Blankenberg S, Hazen SL, Roberts R, Kathiresan S, Samani NJ, Epstein SE, Rader DJ. Identification of ADAMTS7 as a novel locus for coronary atherosclerosis and association of ABO with myocardial infarction in the presence of coronary atherosclerosis: two genome-wide association studies. Lancet 2011; 377:383-92. [PMID: 21239051 PMCID: PMC3297116 DOI: 10.1016/s0140-6736(10)61996-4] [Citation(s) in RCA: 374] [Impact Index Per Article: 28.8] [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] [Indexed: 01/12/2023]
Abstract
BACKGROUND We tested whether genetic factors distinctly contribute to either development of coronary atherosclerosis or, specifically, to myocardial infarction in existing coronary atherosclerosis. METHODS We did two genome-wide association studies (GWAS) with coronary angiographic phenotyping in participants of European ancestry. To identify loci that predispose to angiographic coronary artery disease (CAD), we compared individuals who had this disorder (n=12,393) with those who did not (controls, n=7383). To identify loci that predispose to myocardial infarction, we compared patients who had angiographic CAD and myocardial infarction (n=5783) with those who had angiographic CAD but no myocardial infarction (n=3644). FINDINGS In the comparison of patients with angiographic CAD versus controls, we identified a novel locus, ADAMTS7 (p=4·98×10(-13)). In the comparison of patients with angiographic CAD who had myocardial infarction versus those with angiographic CAD but no myocardial infarction, we identified a novel association at the ABO locus (p=7·62×10(-9)). The ABO association was attributable to the glycotransferase-deficient enzyme that encodes the ABO blood group O phenotype previously proposed to protect against myocardial infarction. INTERPRETATION Our findings indicate that specific genetic predispositions promote the development of coronary atherosclerosis whereas others lead to myocardial infarction in the presence of coronary atherosclerosis. The relation to specific CAD phenotypes might modify how novel loci are applied in personalised risk assessment and used in the development of novel therapies for CAD. FUNDING The PennCath and MedStar studies were supported by the Cardiovascular Institute of the University of Pennsylvania, by the MedStar Health Research Institute at Washington Hospital Center and by a research grant from GlaxoSmithKline. The funding and support for the other cohorts contributing to the paper are described in the webappendix.
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Affiliation(s)
- Muredach P Reilly
- Cardiovascular Institute, University of Pennsylvania, Philadelphia, PA 19104-6160, USA.
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Abstract
A 12 kb haplotype upstream of the key signaling protein gene, AKT1, has been associated with insulin resistance and metabolic syndrome (Devaney et al. 2010). The region contains the first exon and promoter sequences of AKT1, but also includes the complete transcript unit for a highly conserved yet uncharacterized zinc finger-containing protein (ZBTB42). One of the component SNPs of the 12 kb haplotype metabolic syndrome haplotype changes a conserved amino acid in the predicted ZBTB42 protein, increasing the potential significance of the ZBTB42 transcript unit for contributing to disease risk. Using RT-PCR of human and mouse cells, we verified that the two exon ZBTB42 was expressed and correctly spliced in human skeletal muscle, and murine C2C12 cells. Production of peptide antibodies showed the expected protein in human (47 kD) and mouse (49 kD) immunoblots, and murine tissue distribution showed strongest expression in muscle and ovary. Immunostaining showed nuclear localization of the ZBTB42 protein in human muscle. Confocal imaging analyses of murine muscle showed ZBTB42 distributed in the nucleoplasm, with particular enrichment in nuclei underlying the neuromuscular junctions. The genetic association data of metabolic syndrome, coupled with the molecular characterization of the ZBTB42 transcript unit and encoded protein presented here, suggests that ZBTB42 may be involved in metabolic syndrome phenotypes.
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Affiliation(s)
- Stephanie A. Devaney
- Department of Integrative Systems Biology, George Washington University School of Medicine and Health Sciences, Research Center for Genetic Medicine, Children’s National Medical Center, 111 Michigan Ave. NW, Washington, DC, 20010 USA
| | - Suzanne E. Mate
- Department of Integrative Systems Biology, George Washington University School of Medicine and Health Sciences, Research Center for Genetic Medicine, Children’s National Medical Center, 111 Michigan Ave. NW, Washington, DC, 20010 USA
| | - Joseph M. Devaney
- Department of Integrative Systems Biology, George Washington University School of Medicine and Health Sciences, Research Center for Genetic Medicine, Children’s National Medical Center, 111 Michigan Ave. NW, Washington, DC, 20010 USA
| | - Eric P. Hoffman
- Department of Integrative Systems Biology, George Washington University School of Medicine and Health Sciences, Research Center for Genetic Medicine, Children’s National Medical Center, 111 Michigan Ave. NW, Washington, DC, 20010 USA
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50
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Pegoraro E, Hoffman EP, Piva L, Gavassini BF, Cagnin S, Ermani M, Bello L, Soraru G, Pacchioni B, Bonifati MD, Lanfranchi G, Angelini C, Kesari A, Lee I, Gordish-Dressman H, Devaney JM, McDonald CM. SPP1 genotype is a determinant of disease severity in Duchenne muscular dystrophy. Neurology 2010; 76:219-26. [PMID: 21178099 DOI: 10.1212/wnl.0b013e318207afeb] [Citation(s) in RCA: 161] [Impact Index Per Article: 11.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/01/2023] Open
Abstract
OBJECTIVE Duchenne muscular dystrophy (DMD) is the most common single-gene lethal disorder. Substantial patient-patient variability in disease onset and progression and response to glucocorticoids is seen, suggesting genetic or environmental modifiers. METHODS Two DMD cohorts were used as test and validation groups to define genetic modifiers: a Padova longitudinal cohort (n = 106) and the Cooperative International Neuromuscular Research Group (CINRG) cross-sectional natural history cohort (n = 156). Single nucleotide polymorphisms to be genotyped were selected from mRNA profiling in patients with severe vs mild DMD, and genome-wide association studies in metabolism and polymorphisms influencing muscle phenotypes in normal volunteers were studied. RESULTS Effects on both disease progression and response to glucocorticoids were observed with polymorphism rs28357094 in the gene promoter of SPP1 (osteopontin). The G allele (dominant model; 35% of subjects) was associated with more rapid progression (Padova cohort log rank p = 0.003), and 12%-19% less grip strength (CINRG cohort p = 0.0003). CONCLUSIONS Osteopontin genotype is a genetic modifier of disease severity in Duchenne dystrophy. Inclusion of genotype data as a covariate or in inclusion criteria in DMD clinical trials would reduce intersubject variance, and increase sensitivity of the trials, particularly in older subjects.
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Affiliation(s)
- E Pegoraro
- Neuromuscular Center, Department of Neurosciences, University of Padova, 35128 Padova, Italy
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