INSIG2 rs7566605 single nucleotide variant and global DNA methylation index levels are associated with weight loss in a personalized weight reduction program
- Authors:
- Francesca Pirini
- Sebastian Rodriguez‑Torres
- Bola Grace Ayandibu
- María Orera‑Clemente
- Alberto Gonzalez‑de la Vega
- Fahcina Lawson
- Roland J. Thorpe
- David Sidransky
- Rafael Guerrero‑Preston
-
Affiliations: Biosciences Laboratory, Istituto Scientifico Romagnolo per lo Studio e la Cura dei Tumori (IRST) IRCCS, I‑47014 Meldola, Italy, Department of Otolaryngology, School of Medicine, Johns Hopkins University, Baltimore, MD 21231, USA, Genetic Laboratory, University General Hospital Gregorio Marañón, 28007 Madrid, Spain, Molecular Genetics and Clinical Genetics Department, CGC Genetics, 28016 Madrid, Spain, Johns Hopkins University Centre for Health Disparities Solutions, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD 21205, USA - Published online on: November 14, 2017 https://doi.org/10.3892/mmr.2017.8039
- Pages: 1699-1709
-
Copyright: © Pirini et al. This is an open access article distributed under the terms of Creative Commons Attribution License.
This article is mentioned in:
Abstract
Jiang Y, Chen Y, Manuel D, Morrison H and Mao Y: Obesity Working Group: Quantifying the impact of obesity category on major chronic diseases in Canada. ScientificWorldJournal. 7:1211–1221. 2007. View Article : Google Scholar | |
Huxley R, James WP, Barzi F, Patel JV, Lear SA, Suriyawongpaisal P, Janus E, Caterson I, Zimmet P, Prabhakaran D, et al: Ethnic comparisons of the cross-sectional relationships between measures of body size with diabetes and hypertension. Obes Rev. 9 Suppl 1:S53–S61. 2008. View Article : Google Scholar | |
Obesity in Asia Collaboration: Is central obesity a better discriminator of the risk of hypertension than body mass index in ethnically diverse populations? J Hypertens. 26:169–177. 2008. View Article : Google Scholar | |
Goni L, Milagro FI, Cuervo M and Martínez JA: Single-nucleotide polymorphisms and DNA methylation markers associated with central obesity and regulation of body weight. Nutr Rev. 72:673–690. 2014. View Article : Google Scholar | |
Lau DC, Douketis JD, Morrison KM, Hramiak IM, Sharma AM and Ur E: Obesity Canada Clinical Practice Guidelines Expert Panel: 2006 Canadian clinical practice guidelines on the management and prevention of obesity in adults and children (summary). CMAJ. 176:S1–S13. 2007. View Article : Google Scholar : | |
Stroh C, Köckerling F, Weiner R, Horbach T, Ludwig K, Dressler M, Lange V, Loermann P, Wolff S, Schmidt U, et al: Are there gender-specific aspects of sleeve gastrectomy-data analysis from the quality assurance study of surgical treatment of obesity in Germany. Obes Surg. 22:1214–1219. 2012. View Article : Google Scholar | |
Moleres A, Campión J, Milagro FI, Marcos A, Campoy C, Garagorri JM, Gómez-Martínez S, Martínez JA, Azcona-Sanjulián MC and Martí A: EVASYON Study Group: Differential DNA methylation patterns between high and low responders to a weight loss intervention in overweight or obese adolescents: The EVASYON study. FASEB J. 27:2504–2512. 2013. View Article : Google Scholar | |
Bouchard L, Rabasa-Lhoret R, Faraj M, Lavoie ME, Mill J, Pérusse L and Vohl MC: Differential epigenomic and transcriptomic responses in subcutaneous adipose tissue between low and high responders to caloric restriction. Am J Clin Nutr. 91:309–320. 2010. View Article : Google Scholar | |
Mansego ML, Milagro FI, Zulet MA and Martinez JA: SH2B1 CpG-SNP is associated with body weight reduction in obese subjects following a dietary restriction program. Ann Nutr Metab. 66:1–9. 2015. View Article : Google Scholar | |
van Dijk SJ, Tellam RL, Morrison JL, Muhlhausler BS and Molloy PL: Recent developments on the role of epigenetics in obesity and metabolic disease. Clin Epigenetics. 7:662015. View Article : Google Scholar : | |
Campión J, Milagro FI, Goyenechea E and Martínez JA: TNF-alpha promoter methylation as a predictive biomarker for weight-loss response. Obesity (Silver Spring). 17:1293–1297. 2009. | |
Wang K, Li WD, Zhang CK, Wang Z, Glessner JT, Grant SF, Zhao H, Hakonarson H and Price RA: A genome-wide association study on obesity and obesity-related traits. PLoS One. 6:e189392011. View Article : Google Scholar : | |
Mansego ML, Garcia-Lacarte M, Milagro FI, Marti A and Martinez JA: GENOI members: DNA methylation of miRNA coding sequences putatively associated with childhood obesity. Pediatr Obes. 12:19–27. 2017. View Article : Google Scholar | |
van Dijk SJ, Molloy PL, Varinli H, Morrison JL and Muhlhausler BS: Members of EpiSCOPE: Epigenetics and human obesity. Int J Obes (Lond). 39:85–97. 2015. View Article : Google Scholar | |
Youngson NA and Morris MJ: What obesity research tells us about epigenetic mechanisms. Philos Trans R Soc Lond B Biol Sci. 368:201103372013. View Article : Google Scholar : | |
Na YK, Hong HS, Lee DH, Lee WK and Kim DS: Effect of body mass index on global DNA methylation in healthy Korean women. Mol Cells. 37:467–672. 2014. View Article : Google Scholar : | |
Nomura Y, Lambertini L, Rialdi A, Lee M, Mystal EY, Grabie M, Manaster I, Huynh N, Finik J, Davey M, et al: Global methylation in the placenta and umbilical cord blood from pregnancies with maternal gestational diabetes, preeclampsia, and obesity. Reprod Sci. 21:131–137. 2014. View Article : Google Scholar : | |
BLUEPRINT consortium: Quantitative comparison of DNA methylation assays for biomarker development and clinical applications. Nat Biotechnol. 34:726–737. 2016. View Article : Google Scholar | |
Crary-Dooley FK, Tam ME, Dunaway KW, Hertz-Picciotto I, Schmidt RJ and LaSalle JM: A comparison of existing global DNA methylation assays to low-coverage whole-genome bisulfite sequencing for epidemiological studies. Epigenetics. 12:206–214. 2017. View Article : Google Scholar : | |
Perng W, Mora-Plazas M, Marín C, Rozek LS, Baylin A and Villamor E: A prospective study of LINE-1DNA methylation and development of adiposity in school-age children. PLoS One. 8:e625872013. View Article : Google Scholar : | |
Pearce MS, McConnell JC, Potter C, Barrett LM, Parker L, Mathers JC and Relton CL: Global LINE-1 DNA methylation is associated with blood glycaemic and lipid profiles. Int J Epidemiol. 41:210–217. 2012. View Article : Google Scholar : | |
Duggan C, Xiao L, Terry MB and McTiernan A: No effect of weight loss on LINE-1 methylation levels in peripheral blood leukocytes from postmenopausal overweight women. Obesity (Silver Spring). 22:2091–2096. 2014. View Article : Google Scholar : | |
Demerath EW, Guan W, Grove ML, Aslibekyan S, Mendelson M, Zhou YH, Hedman ÅK, Sandling JK, Li LA, Irvin MR, et al: Epigenome-wide association study (EWAS) of BMI, BMI change and waist circumference in African American adults identifies multiple replicated loci. Hum Mol Genet. 24:4464–4479. 2015. View Article : Google Scholar : | |
Aslibekyan S, Demerath EW, Mendelson M, Zhi D, Guan W, Liang L, Sha J, Pankow JS, Liu C, Irvin MR, et al: Epigenome-wide study identifies novel methylation loci associated with body mass index and waist circumference. Obesity (Silver Spring). 23:1493–1501. 2015. View Article : Google Scholar : | |
Dick KJ, Nelson CP, Tsaprouni L, Sandling JK, Aïssi D, Wahl S, Meduri E, Morange PE, Gagnon F, Grallert H, et al: DNA methylation and body-mass index: A genome-wide analysis. Lancet. 383:1990–1998. 2014. View Article : Google Scholar | |
Kaz AM, Wong CJ, Varadan V, Willis JE, Chak A and Grady WM: Global DNA methylation patterns in Barrett's esophagus, dysplastic Barrett's and esophageal adenocarcinoma are associated with BMI, gender, and tobacco use. Clin Epigenetics. 8:1112016. View Article : Google Scholar : | |
Lillycrop K, Murray R, Cheong C, Teh AL, Clarke-Harris R, Barton S, Costello P, Garratt E, Cook E, Titcombe P, et al: ANRIL promoter DNA methylation: A perinatal marker for later adiposity. EBioMedicine. 19:60–72. 2017. View Article : Google Scholar : | |
Lumey LH, Terry MB, Delgado-Cruzata L, Liao Y, Wang Q, Susser E, McKeague I and Santella RM: Adult global DNA methylation in relation to pre-natal nutrition. Int J Epidemiol. 41:116–123. 2012. View Article : Google Scholar | |
Tobi EW, Slieker RC, Stein AD, Suchiman HE, Slagboom PE, van Zwet EW, Heijmans BT and Lumey LH: Early gestation as the critical time-window for changes in the prenatal environment to affect the adult human blood methylome. Int J Epidemiol. 44:1211–1223. 2015. View Article : Google Scholar : | |
Tobi EW, Goeman JJ, Monajemi R, Gu H, Putter H, Zhang Y, Slieker RC, Stok AP, Thijssen PE and Müller F: DNA methylation signatures link prenatal famine exposure to growth and metabolism. Nat Commun. 5:55922014. View Article : Google Scholar : | |
Agha G, Hajj H, Rifas-Shiman SL, Just AC, Hivert MF, Burris HH, Lin X, Litonjua AA, Oken E, DeMeo DL, et al: Birth weight-for-gestational age is associated with DNA methylation at birth and in childhood. Clin Epigenetics. 8:1182016. View Article : Google Scholar : | |
Kupers LK, Xu X, Jankipersadsing SA, Vaez A, la Bastide-van Gemert S, Scholtens S, Nolte IM, Richmond RC, Relton CL, Felix JF, et al: DNA methylation mediates the effect of maternal smoking during pregnancy on birthweight of the offspring. Int J Epidemiol. 44:1224–1237. 2015. View Article : Google Scholar : | |
Kresovich JK, Zheng Y, Cardenas A, Joyce BT, Rifas-Shiman SL, Oken E, Gillman MW, Hivert MF, Baccarelli AA and Hou L: Cord blood DNA methylation and adiposity measures in early and mid-childhood. Clin Epigenetics. 9:862017. View Article : Google Scholar : | |
Godfrey KM, Sheppard A, Gluckman PD, Lillycrop KA, Burdge GC, McLean C, Rodford J, Slater-Jefferies JL, Garratt E, Crozier SR, et al: Epigenetic gene promoter methylation at birth is associated with child's later adiposity. Diabetes. 60:1528–34. 2011. View Article : Google Scholar : | |
Richmond SA, Rothman L, Buliung R, Schwartz N, Larsen K and Howard A: Exploring the impact of a dedicated streetcar right-of-way on pedestrian motor vehicle collisions: A quasi experimental design. Accid Anal Prev. 71:222–227. 2014. View Article : Google Scholar | |
Stel J and Legler J: The role of epigenetics in the latent effects of early life exposure to obesogenic endocrine disrupting chemicals. Endocrinology. 156:3466–3472. 2015. View Article : Google Scholar : | |
Do C, Shearer A, Suzuki M, Terry MB, Gelernter J, Greally JM and Tycko B: Genetic-epigenetic interactions in cis: A major focus in the post-GWAS era. Genome Biol. 18:1202017. View Article : Google Scholar : | |
Do C, Lang CF, Lin J, Darbary H, Krupska I, Gaba A, Petukhova L, Vonsattel JP, Gallagher MP, Goland RS, et al: Mechanisms and disease associations of haplotype-dependent allele-specific DNA methylation. Am J Hum Genet. 98:934–955. 2016. View Article : Google Scholar : | |
Cole SA: Epigenetic studies of perinatal determinants of later obesity link important, but previously unrelated, genetic and epidemiological findings. EBioMedicine. 20:15–16. 2017. View Article : Google Scholar : | |
Day SE, Coletta RL, Kim JY, Garcia LA, Campbell LE, Benjamin TR, Roust LR, De Filippis EA, Mandarino LJ and Coletta DK: Potential epigenetic biomarkers of obesity-related insulin resistance in human whole-blood. Epigenetics. 12:254–263. View Article : Google Scholar | |
Aronica L, Levine AJ, Brennan K, Mi J, Gardner C, Haile RW and Hitchins MP: A systematic review of studies of DNA methylation in the context of a weight loss intervention. Epigenomics. 9:769–787. 2017. View Article : Google Scholar | |
den Dunnen JT, Dalgleish R, Maglott DR, Hart RK, Greenblatt MS, McGowan-Jordan J, Roux AF, Smith T, Antonarakis SE and Taschner PE: HGVS recommendations for the description of sequence variants: 2016 update. Hum Mutat. 37:564–569. 2016. View Article : Google Scholar | |
Le Hellard S, Theisen FM, Haberhausen M, Raeder MB, Fernø J, Gebhardt S, Hinney A, Remschmidt H, Krieg JC, Mehler-Wex C, et al: Association between the insulin-induced gene 2 (INSIG2) and weight gain in a German sample of antipsychotic-treated schizophrenic patients: Perturbation of SREBP-controlled lipogenesis in drug-related metabolic adverse effects? Mol Psychiatry. 14:308–317. 2009. View Article : Google Scholar | |
Prakash J, Mittal B, Apurva S, Shally A, Pranjal S and Neena S: Common genetic variant of insig2 gene rs7566605 polymorphism is associated with severe obesity in north India. Iran Biomed J. 21:261–269. 2017. View Article : Google Scholar : | |
Apalasamy YD, Moy FM, Rampal S, Bulgiba A and Mohamed Z: Genetic associations of the INSIG2 rs7566605 polymorphism with obesity-related metabolic traits in malaysian malays. Genet Mol Res. 13:4904–10. 2014. View Article : Google Scholar | |
Kaulfers AM, Deka R, Dolan L and Martin LJ: Association of INSIG2 polymorphism with overweight and LDL in children. PLoS One. 10:e01163402015. View Article : Google Scholar : | |
Chambers JC, Elliott P, Zabaneh D, Zhang W, Li Y, Froguel P, Balding D, Scott J and Kooner JS: Common genetic variation near MC4R is associated with waist circumference and insulin resistance. Nat Genet. 40:716–718. 2008. View Article : Google Scholar | |
Loos RJ, Lindgren CM, Li S, Wheeler E, Zhao JH, Prokopenko I, Inouye M, Freathy RM, Attwood AP, Beckmann JS, et al: Common variants near MC4R are associated with fat mass, weight and risk of obesity. Nat Genet. 40:768–775. 2008. View Article : Google Scholar : | |
Xi B, Chandak GR, Shen Y, Wang Q and Zhou D: Association between common polymorphism near the MC4R gene and obesity risk: A systematic review and meta-analysis. PLoS One. 7:e45731 View Article : Google Scholar : | |
Paolini B, Maltese PE, Del Ciondolo I, Tavian D, Missaglia S, Ciuoli C, Zuntini M, Cecchin S, Bertelli M and Pompucci G: Prevalence of mutations in LEP, LEPR and MC4R genes in individuals with severe obesity. Genet Mol Res. 15:2016. View Article : Google Scholar | |
Takenaka A, Nakamura S, Mitsunaga F, Inoue-Murayama M, Udono T and Suryobroto B: Human-specific SNP in obesity genes, adrenergic receptor beta2 (ADRB2), Beta3 (ADRB3) and PPAR γ2 (PPARG), during primate evolution. PLoS One. 7:e434612012. View Article : Google Scholar : | |
Ruiz JR, Larrarte E, Margareto J, Ares R and Labayen I: Role of β2-adrenergic receptor polymorphisms on body weight and body composition response to energy restriction in obese women: Preliminary results. Obesity (Silver Spring). 19:212–215. 2011. View Article : Google Scholar | |
Ruiz JR, Larrarte E, Margareto J, Ares R, Alkorta P and Labayen I: Preliminary findings on the role of PLIN1 polymorphisms on body composition and energy metabolism response to energy restriction in obese women. Br J Nutr. 106:486–90. 2011. View Article : Google Scholar | |
Large V, Hellström L, Reynisdottir S, Lönnqvist F, Eriksson P, Lannfelt L and Arner P: Human beta-2 adrenoceptor gene polymorphisms are highly frequent in obesity and associate with altered adipocyte beta-2 adrenoceptor function. J Clin Invest. 100:3005–3013. 1997. View Article : Google Scholar : | |
Ishiyama-Shigemoto S, Yamada K, Yuan X, Ichikawa F and Nonaka K: Association of polymorphisms in the beta2-adrenergic receptor gene with obesity, hypertriglyceridaemia, and diabetes mellitus. Diabetologia. 42:98–101. 1999. View Article : Google Scholar | |
Martin S, Nicaud V, Humphries SE and Talmud PJ: EARS group: Contribution of APOA5 gene variants to plasma triglyceride determination and to the response to both fat and glucose tolerance challenges. Biochim Biophys Acta. 1637:217–225. 2003. View Article : Google Scholar | |
Kisfali P, Mohás M, Maasz A, Hadarits F, Markó L, Horvatovich K, Oroszlán T, Bagosi Z, Bujtor Z, Gasztonyi B, et al: Apolipoprotein A5 IVS3+476A allelic variant associates with increased trigliceride levels and confers risk for development of metabolic syndrome in Hungarians. Circ J. 72:40–43. 2008. View Article : Google Scholar | |
Elosua R, Ordovas JM, Cupples LA, Lai CQ, Demissie S, Fox CS, Polak JF, Wolf PA, D'Agostino RB Sr and O'Donnell CJ: Variants at the APOA5 locus, association with carotid atherosclerosis and modification by obesity: The Framingham Study. J Lipid Res. 47:990–996. 2006. View Article : Google Scholar | |
Sánchez-Moreno C, Ordovás JM, Smith CE, Baraza JC, Lee YC and Garaulet M: APOA5 gene variation interacts with dietary fat intake to modulate obesity and circulating triglycerides in a Mediterranean population. J Nutr. 141:380–385. 2011. View Article : Google Scholar : | |
Garelnabi M, Lor K, Jin J, Chai F and Santanam N: The paradox of ApoA5 modulation of triglycerides: Evidence from clinical and basic research. Clin Biochem. 46:12–19. 2013. View Article : Google Scholar | |
Aberle J, Evans D, Beil FU and Seedorf U: A polymorphism in the apolipoprotein A5 gene is associated with weight loss after short-term diet. Clin Genet. 68:152–154. 2005. View Article : Google Scholar | |
Hauner H, Meier M, Jöckel KH, Frey UH and Siffert W: Prediction of successful weight reduction under sibutramine therapy through genotyping of the G-protein beta3 subunit gene (GNB3) C825T polymorphism. Pharmacogenetics. 13:453–459. 2003. View Article : Google Scholar | |
Hsiao TJ, Hwang Y, Liu CH, Chang HM and Lin E: Association of the C825T polymorphism in the GNB3 gene with obesity and metabolic phenotypes in a Taiwanese population. Genes Nutr. 8:137–144. 2013. View Article : Google Scholar | |
Maniotis C, Chantziara K, Kokkoris P, Papadogiannis D, Andreou C, Tsioufis C, Vaiopoulos G and Stefanadis C: The AGT and the GNB3 polymorphisms and insulin resistance in prehypertension. Hormones (Athens). 13:79–86. 2014. | |
Michalsen A, Knoblauch NT, Lehmann N, Grossman P, Kerkhoff G, Wilhelm FH, Moebus S, Konstantinides S, Binder L and Heusch G: Effects of lifestyle modification on the progression of coronary atherosclerosis, autonomic function and angina-the role of GNB3 C825T polymorphism. Am Heart J. 151:870–877. 2006. View Article : Google Scholar | |
Hoque MO, Lee CC, Cairns P, Schoenberg M and Sidransky D: Genome-wide genetic characterization of bladder cancer: A comparison of high-density single-nucleotide polymorphism arrays and PCR-based microsatellite analysis. Cancer Res. 63:2216–2222. 2003. | |
Smith AJ, Cooper JA, Li LK and Humphries SE: INSIG2 gene polymorphism is not associated with obesity in Caucasian, Afro-Caribbean and Indian subjects. Int J Obes (Lond). 31:1753–1755. 2007. View Article : Google Scholar | |
Granell S, Serra-Juhé C, Martos-Moreno GÁ, Díaz F, Pérez-Jurado LA, Baldini G and Argente J: A novel melanocortin-4 receptor mutation MC4R-P272L associated with severe obesity has increased propensity to be ubiquitinated in the ER in the face of correct folding. PLoS One. 7:e508942012. View Article : Google Scholar : | |
Corella D, Ortega-Azorín C, Sorlí JV, Covas MI, Carrasco P, Salas-Salvadó J, Martínez-González MÁ, Arós F, Lapetra J, Serra-Majem L, et al: Statistical and biological gene-lifestyle interactions of MC4R and FTO with diet and physical activity on obesity: New effects on alcohol consumption. PLoS One. 7:e523442012. View Article : Google Scholar : | |
Feigelson HS, Teras LR, Diver WR, Tang W, Patel AV, Stevens VL, Calle EE, Thun MJ and Bouzyk M: Genetic variation in candidate obesity genes ADRB2, ADRB3, GHRL, HSD11B1, IRS1, IRS2 and SHC1 and risk for breast cancer in the cancer prevention study II. Breast Cancer Res. 10:R572008. View Article : Google Scholar : | |
Brøgger J, Steen VM, Eiken HG, Gulsvik A and Bakke P: Genetic association between COPD and polymorphisms in TNF, ADRB2 and EPHX1. Eur Respir J. 27:682–688. 2006. View Article : Google Scholar | |
Park HW, Yang MS, Park CS, Kim TB, Moon HB, Min KU, Kim YY and Cho SH: Additive role of tiotropium in severe asthmatics and Arg16Gly in ADRB2 as a potential marker to predict response. Allergy. 64:778–783. 2009. View Article : Google Scholar | |
Sánchez González JL, Proenza AM, Martínez Larrad MT, Ramis JM, Pérez Fernández C, Palou A and Ríos Serrano M: The glutamine 27 glutamic acid polymorphism of the beta2-adrenoceptor gene is associated with abdominal obesity and greater risk of impaired glucose tolerance in men but not in women: A population-based study in Spain. Clin Endocrinol (Oxf). 59:476–481. 2003. View Article : Google Scholar | |
Kawaguchi H, Masuo K, Katsuya T, Sugimoto K, Rakugi H, Ogihara T and Tuck ML: Beta2- and beta3-Adrenoceptor polymorphisms relate to subsequent weight gain and blood pressure elevation in obese normotensive individuals. Hypertens Res. 29:951–959. 2006. View Article : Google Scholar | |
Masuo K, Katsuya T, Kawaguchi H, Fu Y, Rakugi H, Ogihara T and Tuck ML: Beta2-adrenoceptor polymorphisms relate to obesity through blunted leptin-mediated sympathetic activation. Am J Hypertens. 19:1084–1091. 2006. View Article : Google Scholar | |
Maasz A, Kisfali P, Jaromi L, Horvatovich K, Szolnoki Z, Csongei V, Safrany E, Sipeky C, Hadarits F and Melegh B: Apolipoprotein A5 gene IVS3+G476A allelic variant confers susceptibility for development of ischemic stroke. Circ J. 72:1065–1070. 2008. View Article : Google Scholar | |
Maász A, Kisfali P, Szolnoki Z, Hadarits F and Melegh B: Apolipoprotein A5 gene C56G variant confers risk for the development of large-vessel associated ischemic stroke. J Neurol. 255:649–654. 2008. View Article : Google Scholar | |
Elosua R, Cupples LA, Fox CS, Polak JF, D'Agostino RA Sr, Wolf PA, O'Donnell CJ and Ordovas JM: Association between well-characterized lipoprotein-related genetic variants and carotid intimal medial thickness and stenosis: The framingham heart study. Atherosclerosis. 189:222–228. 2006. View Article : Google Scholar | |
Casiglia E, Tikhonoff V, Boschetti G, Bascelli A, Saugo M, Guglielmi G, Caffi S, Rigoni G, Giordano N, Grasselli C, et al: The C825T GNB3 polymorphism, independent of blood pressure, predicts cerebrovascular risk at a population level. Am J Hypertens. 25:451–457. 2012. View Article : Google Scholar | |
Frey UH, Moebus S, Möhlenkamp S, Kälsch H, Bauer M, Lehmann N, Nöthen M, Mühleisen TW, Stang A, Erbel R, et al: GNB3 gene 825 TT variant predicts hard coronary events in the population-based HEINZ NIXDORF RECALL study. Atherosclerosis. 237:437–442. 2014. View Article : Google Scholar | |
Nishimura R, Tanabe N, Sekine A, Kasai H, Suda R, Kato F, Jujo T, Sugiura T, Shigeta A, Sakao S and Tatsumi K: Synergistic effects of ACE Insertion/deletion and GNB3 C825T polymorphisms on the efficacy of PDE-5 inhibitor in patients with pulmonary hypertension. Respiration. 91:132–140. 2016. View Article : Google Scholar | |
Sperling H, Eisenhardt A, Virchow S, Hauck E, Lenk S, Porst H, Stief C, Wetterauer U, Rubben H, Muller N and Siffert W: Sildenafil response is influenced by the G protein beta 3 subunit GNB3 C825T polymorphism: A pilot study. J Urol. 169:1048–1051. 2003. View Article : Google Scholar | |
Bell CG, Xia Y, Yuan W, Gao F, Ward K, Roos L, Mangino M, Hysi PG, Bell J, Wang J and Spector TD: Novel regional age-associated DNA methylation changes within human common disease-associated loci. Genome Biol. 17:1932016. View Article : Google Scholar : | |
Murray R, Bryant J, Titcombe P, Barton SJ, Inskip H, Harvey NC, Cooper C, Lillycrop K, Hanson M and Godfrey KM: DNA methylation at birth within the promoter of ANRIL predicts markers of cardiovascular risk at 9 years. Clin Epigenetics. 8:902016. View Article : Google Scholar : | |
Pal S and Tyler JK: Epigenetics and aging. Sci Adv. 2:e16005842016. View Article : Google Scholar : | |
Wu X, Cao N, Fenech M and Wang X: Role of sirtuins in maintenance of genomic stability: Relevance to cancer and healthy aging. DNA Cell Biol. 35:542–575. 2016. View Article : Google Scholar | |
Perng W, Villamor E, Shroff MR, Nettleton JA, Pilsner JR, Liu Y and Diez-Roux AV: Dietary intake, plasma homocysteine and repetitive element DNA methylation in the Multi-Ethnic Study of Atherosclerosis (MESA). Nutr Metab Cardiovasc Dis. 24:614–622. 2014. View Article : Google Scholar | |
Needham BL, Smith JA, Zhao W, Wang X, Mukherjee B, Kardia SL, Shively CA, Seeman TE, Liu Y and Diez Roux AV: Life course socioeconomic status and DNA methylation in genes related to stress reactivity and inflammation: The multi-ethnic study of atherosclerosis. Epigenetics. 10:958–969. 2015. View Article : Google Scholar : | |
Guerrero-Preston R, Goldman LR, Brebi-Mieville P, Ili-Gangas C, Lebron C, Witter FR, Apelberg BJ, Hernández-Roystacher M, Jaffe A, Halden RU and Sidransky D: Global DNA hypomethylation is associated with in utero exposure to cotinine and perfluorinated alkyl compounds. Epigenetics. 5:539–546. 2010. View Article : Google Scholar : | |
Chater-Diehl EJ, Laufer BI, Castellani CA, Alberry BL and Singh SM: Alteration of gene expression, DNA methylation and histone methylation in free radical scavenging networks in adult mouse hippocampus following fetal alcohol exposure. PLoS One. 11:e01548362016. View Article : Google Scholar : | |
Garcia-Lacarte M, Milagro FI, Zulet MA, Martinez JA and Mansego ML: LINE-1 methylation levels, a biomarker of weight loss in obese subjects, are influenced by dietary antioxidant capacity. Redox Rep. 21:67–74. 2016. View Article : Google Scholar | |
Marques-Rocha JL, Milagro FI, Mansego ML, Mourão DM, Martínez JA and Bressan J: LINE-1 methylation is positively associated with healthier lifestyle but inversely related to body fat mass in healthy young individuals. Epigenetics. 11:49–60. 2016. View Article : Google Scholar : | |
Carraro JC, Mansego ML, Milagro FI, Chaves LO, Vidigal FC, Bressan J and Martínez JA: LINE-1 and inflammatory gene methylation levels are early biomarkers of metabolic changes: Association with adiposity. Biomarkers. 21:625–632. 2016. View Article : Google Scholar | |
Nicoletti CF, Nonino CB, de Oliveira BA, Pinhel MA, Mansego ML, Milagro FI, Zulet MA and Martinez JA: DNA methylation and hydroxymethylation levels in relation to two weight loss strategies: Energy-restricted diet or bariatric surgery. Obes Surg. 26:603–611. 2016. View Article : Google Scholar | |
Weiner R, El-Sayes I, Manger T, Weiner S, Lippert H and Stroh C: Obesity Surgery Working Group, Competence Network Obesity: Antidiabetic efficacy of obesity surgery in Germany: A quality assurance nationwide survey. Surg Obes Relat Dis. 10:322–327. 2014. View Article : Google Scholar | |
Stroh C, Weiner R, Wolff S, Knoll C and Manger T: Obesity Surgery Working Group; Competence Network Obesity: Influences of gender on complication rate and outcome after Roux-en-Y gastric bypass: Data analysis of more than 10,000 operations from the german bariatric surgery registry. Obes Surg. 24:1625–1633. 2014. View Article : Google Scholar |