Author: "Lobbens, Stéphane" / Topic: obesity - Searchworks@Jio Institute Digital Library Search Results

13 results on '"Lobbens, Stéphane"'

1. The expression of genes in top obesity-associated loci is enriched in insula and substantia nigra brain regions involved in addiction and reward.

Author: Ndiaye FK, Huyvaert M, Ortalli A, Canouil M, Lecoeur C, Verbanck M, Lobbens S, Khamis A, Marselli L, Marchetti P, Kerr-Conte J, Pattou F, Marre M, Roussel R, Balkau B, Froguel P, and Bonnefond A
Subjects: Adult, Body Mass Index, Genetic Predisposition to Disease genetics, Genome-Wide Association Study, Humans, Hyperphagia, Middle Aged, Polymorphism, Single Nucleotide, Behavior, Addictive genetics, Cerebral Cortex metabolism, Obesity genetics, Obesity metabolism, Reward, Substantia Nigra metabolism
Abstract: Background: Genome-wide association studies (GWAS) have identified more than 250 loci associated with body mass index (BMI) and obesity. However, post-GWAS functional genomic investigations have been inadequate for understanding how these genetic loci physiologically impact disease development., Methods: We performed a PCR-free expression assay targeting genes located nearby the GWAS-identified SNPs associated with BMI/obesity in a large panel of human tissues. Furthermore, we analyzed several genetic risk scores (GRS) summing GWAS-identified alleles associated with increased BMI in 4236 individuals., Results: We found that the expression of BMI/obesity susceptibility genes was strongly enriched in the brain, especially in the insula (p = 4.7 × 10 -9 ) and substantia nigra (p = 6.8 × 10 -7 ), which are two brain regions involved in addiction and reward. Inversely, we found that top obesity/BMI-associated loci, including FTO, showed the strongest gene expression enrichment in the two brain regions., Conclusions: Our data suggest for the first time that the susceptibility genes for common obesity may have an effect on eating addiction and reward behaviors through their high expression in substantia nigra and insula, i.e., a different pattern from monogenic obesity genes that act in the hypothalamus and cause hyperphagia. Further epidemiological studies with relevant food behavior phenotypes are necessary to confirm these findings.
Published: 2020
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2. Increased Hepatic PDGF-AA Signaling Mediates Liver Insulin Resistance in Obesity-Associated Type 2 Diabetes.

Author: Abderrahmani A, Yengo L, Caiazzo R, Canouil M, Cauchi S, Raverdy V, Plaisance V, Pawlowski V, Lobbens S, Maillet J, Rolland L, Boutry R, Queniat G, Kwapich M, Tenenbaum M, Bricambert J, Saussenthaler S, Anthony E, Jha P, Derop J, Sand O, Rabearivelo I, Leloire A, Pigeyre M, Daujat-Chavanieu M, Gerbal-Chaloin S, Dayeh T, Lassailly G, Mathurin P, Staels B, Auwerx J, Schürmann A, Postic C, Schafmayer C, Hampe J, Bonnefond A, Pattou F, and Froguel P
Subjects: Adult, Case-Control Studies, Cells, Cultured, DNA Methylation, Diabetes Mellitus, Type 2 etiology, Diabetes Mellitus, Type 2 genetics, Diabetes Mellitus, Type 2 pathology, Epigenesis, Genetic physiology, Female, Genetic Predisposition to Disease, Humans, Liver pathology, Male, Middle Aged, Non-alcoholic Fatty Liver Disease genetics, Non-alcoholic Fatty Liver Disease metabolism, Non-alcoholic Fatty Liver Disease pathology, Obesity complications, Obesity genetics, Obesity pathology, Signal Transduction genetics, Up-Regulation genetics, Diabetes Mellitus, Type 2 metabolism, Insulin Resistance genetics, Liver metabolism, Obesity metabolism, Platelet-Derived Growth Factor genetics, Platelet-Derived Growth Factor metabolism
Abstract: In type 2 diabetes (T2D), hepatic insulin resistance is strongly associated with nonalcoholic fatty liver disease (NAFLD). In this study, we hypothesized that the DNA methylome of livers from patients with T2D compared with livers of individuals with normal plasma glucose levels can unveil some mechanism of hepatic insulin resistance that could link to NAFLD. Using DNA methylome and transcriptome analyses of livers from obese individuals, we found that hypomethylation at a CpG site in PDGFA (encoding platelet-derived growth factor α) and PDGFA overexpression are both associated with increased T2D risk, hyperinsulinemia, increased insulin resistance, and increased steatohepatitis risk. Genetic risk score studies and human cell modeling pointed to a causative effect of high insulin levels on PDGFA CpG site hypomethylation, PDGFA overexpression, and increased PDGF-AA secretion from the liver. We found that PDGF-AA secretion further stimulates its own expression through protein kinase C activity and contributes to insulin resistance through decreased expression of insulin receptor substrate 1 and of insulin receptor. Importantly, hepatocyte insulin sensitivity can be restored by PDGF-AA-blocking antibodies, PDGF receptor inhibitors, and by metformin, opening therapeutic avenues. Therefore, in the liver of obese patients with T2D, the increased PDGF-AA signaling contributes to insulin resistance, opening new therapeutic avenues against T2D and possibly NAFLD., (© 2018 by the American Diabetes Association.)
Published: 2018
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3. Genetic studies of body mass index yield new insights for obesity biology.

Author: Locke AE, Kahali B, Berndt SI, Justice AE, Pers TH, Day FR, Powell C, Vedantam S, Buchkovich ML, Yang J, Croteau-Chonka DC, Esko T, Fall T, Ferreira T, Gustafsson S, Kutalik Z, Luan J, Mägi R, Randall JC, Winkler TW, Wood AR, Workalemahu T, Faul JD, Smith JA, Zhao JH, Zhao W, Chen J, Fehrmann R, Hedman ÅK, Karjalainen J, Schmidt EM, Absher D, Amin N, Anderson D, Beekman M, Bolton JL, Bragg-Gresham JL, Buyske S, Demirkan A, Deng G, Ehret GB, Feenstra B, Feitosa MF, Fischer K, Goel A, Gong J, Jackson AU, Kanoni S, Kleber ME, Kristiansson K, Lim U, Lotay V, Mangino M, Leach IM, Medina-Gomez C, Medland SE, Nalls MA, Palmer CD, Pasko D, Pechlivanis S, Peters MJ, Prokopenko I, Shungin D, Stančáková A, Strawbridge RJ, Sung YJ, Tanaka T, Teumer A, Trompet S, van der Laan SW, van Setten J, Van Vliet-Ostaptchouk JV, Wang Z, Yengo L, Zhang W, Isaacs A, Albrecht E, Ärnlöv J, Arscott GM, Attwood AP, Bandinelli S, Barrett A, Bas IN, Bellis C, Bennett AJ, Berne C, Blagieva R, Blüher M, Böhringer S, Bonnycastle LL, Böttcher Y, Boyd HA, Bruinenberg M, Caspersen IH, Chen YI, Clarke R, Daw EW, de Craen AJM, Delgado G, Dimitriou M, Doney ASF, Eklund N, Estrada K, Eury E, Folkersen L, Fraser RM, Garcia ME, Geller F, Giedraitis V, Gigante B, Go AS, Golay A, Goodall AH, Gordon SD, Gorski M, Grabe HJ, Grallert H, Grammer TB, Gräßler J, Grönberg H, Groves CJ, Gusto G, Haessler J, Hall P, Haller T, Hallmans G, Hartman CA, Hassinen M, Hayward C, Heard-Costa NL, Helmer Q, Hengstenberg C, Holmen O, Hottenga JJ, James AL, Jeff JM, Johansson Å, Jolley J, Juliusdottir T, Kinnunen L, Koenig W, Koskenvuo M, Kratzer W, Laitinen J, Lamina C, Leander K, Lee NR, Lichtner P, Lind L, Lindström J, Lo KS, Lobbens S, Lorbeer R, Lu Y, Mach F, Magnusson PKE, Mahajan A, McArdle WL, McLachlan S, Menni C, Merger S, Mihailov E, Milani L, Moayyeri A, Monda KL, Morken MA, Mulas A, Müller G, Müller-Nurasyid M, Musk AW, Nagaraja R, Nöthen MM, Nolte IM, Pilz S, Rayner NW, Renstrom F, Rettig R, Ried JS, Ripke S, Robertson NR, Rose LM, Sanna S, Scharnagl H, Scholtens S, Schumacher FR, Scott WR, Seufferlein T, Shi J, Smith AV, Smolonska J, Stanton AV, Steinthorsdottir V, Stirrups K, Stringham HM, Sundström J, Swertz MA, Swift AJ, Syvänen AC, Tan ST, Tayo BO, Thorand B, Thorleifsson G, Tyrer JP, Uh HW, Vandenput L, Verhulst FC, Vermeulen SH, Verweij N, Vonk JM, Waite LL, Warren HR, Waterworth D, Weedon MN, Wilkens LR, Willenborg C, Wilsgaard T, Wojczynski MK, Wong A, Wright AF, Zhang Q, Brennan EP, Choi M, Dastani Z, Drong AW, Eriksson P, Franco-Cereceda A, Gådin JR, Gharavi AG, Goddard ME, Handsaker RE, Huang J, Karpe F, Kathiresan S, Keildson S, Kiryluk K, Kubo M, Lee JY, Liang L, Lifton RP, Ma B, McCarroll SA, McKnight AJ, Min JL, Moffatt MF, Montgomery GW, Murabito JM, Nicholson G, Nyholt DR, Okada Y, Perry JRB, Dorajoo R, Reinmaa E, Salem RM, Sandholm N, Scott RA, Stolk L, Takahashi A, Tanaka T, van 't Hooft FM, Vinkhuyzen AAE, Westra HJ, Zheng W, Zondervan KT, Heath AC, Arveiler D, Bakker SJL, Beilby J, Bergman RN, Blangero J, Bovet P, Campbell H, Caulfield MJ, Cesana G, Chakravarti A, Chasman DI, Chines PS, Collins FS, Crawford DC, Cupples LA, Cusi D, Danesh J, de Faire U, den Ruijter HM, Dominiczak AF, Erbel R, Erdmann J, Eriksson JG, Farrall M, Felix SB, Ferrannini E, Ferrières J, Ford I, Forouhi NG, Forrester T, Franco OH, Gansevoort RT, Gejman PV, Gieger C, Gottesman O, Gudnason V, Gyllensten U, Hall AS, Harris TB, Hattersley AT, Hicks AA, Hindorff LA, Hingorani AD, Hofman A, Homuth G, Hovingh GK, Humphries SE, Hunt SC, Hyppönen E, Illig T, Jacobs KB, Jarvelin MR, Jöckel KH, Johansen B, Jousilahti P, Jukema JW, Jula AM, Kaprio J, Kastelein JJP, Keinanen-Kiukaanniemi SM, Kiemeney LA, Knekt P, Kooner JS, Kooperberg C, Kovacs P, Kraja AT, Kumari M, Kuusisto J, Lakka TA, Langenberg C, Marchand LL, Lehtimäki T, Lyssenko V, Männistö S, Marette A, Matise TC, McKenzie CA, McKnight B, Moll FL, Morris AD, Morris AP, Murray JC, Nelis M, Ohlsson C, Oldehinkel AJ, Ong KK, Madden PAF, Pasterkamp G, Peden JF, Peters A, Postma DS, Pramstaller PP, Price JF, Qi L, Raitakari OT, Rankinen T, Rao DC, Rice TK, Ridker PM, Rioux JD, Ritchie MD, Rudan I, Salomaa V, Samani NJ, Saramies J, Sarzynski MA, Schunkert H, Schwarz PEH, Sever P, Shuldiner AR, Sinisalo J, Stolk RP, Strauch K, Tönjes A, Trégouët DA, Tremblay A, Tremoli E, Virtamo J, Vohl MC, Völker U, Waeber G, Willemsen G, Witteman JC, Zillikens MC, Adair LS, Amouyel P, Asselbergs FW, Assimes TL, Bochud M, Boehm BO, Boerwinkle E, Bornstein SR, Bottinger EP, Bouchard C, Cauchi S, Chambers JC, Chanock SJ, Cooper RS, de Bakker PIW, Dedoussis G, Ferrucci L, Franks PW, Froguel P, Groop LC, Haiman CA, Hamsten A, Hui J, Hunter DJ, Hveem K, Kaplan RC, Kivimaki M, Kuh D, Laakso M, Liu Y, Martin NG, März W, Melbye M, Metspalu A, Moebus S, Munroe PB, Njølstad I, Oostra BA, Palmer CNA, Pedersen NL, Perola M, Pérusse L, Peters U, Power C, Quertermous T, Rauramaa R, Rivadeneira F, Saaristo TE, Saleheen D, Sattar N, Schadt EE, Schlessinger D, Slagboom PE, Snieder H, Spector TD, Thorsteinsdottir U, Stumvoll M, Tuomilehto J, Uitterlinden AG, Uusitupa M, van der Harst P, Walker M, Wallaschofski H, Wareham NJ, Watkins H, Weir DR, Wichmann HE, Wilson JF, Zanen P, Borecki IB, Deloukas P, Fox CS, Heid IM, O'Connell JR, Strachan DP, Stefansson K, van Duijn CM, Abecasis GR, Franke L, Frayling TM, McCarthy MI, Visscher PM, Scherag A, Willer CJ, Boehnke M, Mohlke KL, Lindgren CM, Beckmann JS, Barroso I, North KE, Ingelsson E, Hirschhorn JN, Loos RJF, and Speliotes EK
Subjects: Adipogenesis genetics, Adiposity genetics, Age Factors, Energy Metabolism genetics, Europe ethnology, Female, Genetic Predisposition to Disease genetics, Glutamic Acid metabolism, Humans, Insulin metabolism, Insulin Secretion, Male, Polymorphism, Single Nucleotide genetics, Quantitative Trait Loci genetics, Racial Groups genetics, Synapses metabolism, Body Mass Index, Genome-Wide Association Study, Obesity genetics, Obesity metabolism
Abstract: Obesity is heritable and predisposes to many diseases. To understand the genetic basis of obesity better, here we conduct a genome-wide association study and Metabochip meta-analysis of body mass index (BMI), a measure commonly used to define obesity and assess adiposity, in up to 339,224 individuals. This analysis identifies 97 BMI-associated loci (P < 5 × 10(-8)), 56 of which are novel. Five loci demonstrate clear evidence of several independent association signals, and many loci have significant effects on other metabolic phenotypes. The 97 loci account for ∼2.7% of BMI variation, and genome-wide estimates suggest that common variation accounts for >20% of BMI variation. Pathway analyses provide strong support for a role of the central nervous system in obesity susceptibility and implicate new genes and pathways, including those related to synaptic function, glutamate signalling, insulin secretion/action, energy metabolism, lipid biology and adipogenesis.
Published: 2015
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4. Beneficial metabolic effects of rapamycin are associated with enhanced regulatory cells in diet-induced obese mice.

Author: Makki K, Taront S, Molendi-Coste O, Bouchaert E, Neve B, Eury E, Lobbens S, Labalette M, Duez H, Staels B, Dombrowicz D, Froguel P, and Wolowczuk I
Subjects: Adipose Tissue immunology, Adipose Tissue pathology, Animals, Cell Proliferation drug effects, Dietary Fats pharmacology, Disease Models, Animal, Female, Insulin Resistance immunology, Liver immunology, Liver pathology, Male, Mechanistic Target of Rapamycin Complex 1, Mechanistic Target of Rapamycin Complex 2, Mice, Multiprotein Complexes immunology, Myeloid Cells pathology, Obesity chemically induced, Obesity pathology, Signal Transduction drug effects, T-Lymphocytes, Regulatory pathology, TOR Serine-Threonine Kinases immunology, Dietary Fats adverse effects, Immunosuppressive Agents pharmacology, Myeloid Cells immunology, Obesity immunology, Sirolimus pharmacology, T-Lymphocytes, Regulatory immunology
Abstract: The "mechanistic target of rapamycin" (mTOR) is a central controller of growth, proliferation and/or motility of various cell-types ranging from adipocytes to immune cells, thereby linking metabolism and immunity. mTOR signaling is overactivated in obesity, promoting inflammation and insulin resistance. Therefore, great interest exists in the development of mTOR inhibitors as therapeutic drugs for obesity or diabetes. However, despite a plethora of studies characterizing the metabolic consequences of mTOR inhibition in rodent models, its impact on immune changes associated with the obese condition has never been questioned so far. To address this, we used a mouse model of high-fat diet (HFD)-fed mice with and without pharmacologic mTOR inhibition by rapamycin. Rapamycin was weekly administrated to HFD-fed C57BL/6 mice for 22 weeks. Metabolic effects were determined by glucose and insulin tolerance tests and by indirect calorimetry measures of energy expenditure. Inflammatory response and immune cell populations were characterized in blood, adipose tissue and liver. In parallel, the activities of both mTOR complexes (e. g. mTORC1 and mTORC2) were determined in adipose tissue, muscle and liver. We show that rapamycin-treated mice are leaner, have enhanced energy expenditure and are protected against insulin resistance. These beneficial metabolic effects of rapamycin were associated to significant changes of the inflammatory profiles of both adipose tissue and liver. Importantly, immune cells with regulatory functions such as regulatory T-cells (Tregs) and myeloid-derived suppressor cells (MDSCs) were increased in adipose tissue. These rapamycin-triggered metabolic and immune effects resulted from mTORC1 inhibition whilst mTORC2 activity was intact. Taken together, our results reinforce the notion that controlling immune regulatory cells in metabolic tissues is crucial to maintain a proper metabolic status and, more generally, comfort the need to search for novel pharmacological inhibitors of the mTOR signaling pathway to prevent and/or treat metabolic diseases.
Published: 2014
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5. Common variants near BDNF and SH2B1 show nominal evidence of association with snacking behavior in European populations.

Author: Robiou-du-Pont S, Yengo L, Vaillant E, Lobbens S, Durand E, Horber F, Lantieri O, Marre M, Balkau B, Froguel P, and Meyre D
Subjects: Adolescent, Adult, Aged, Aged, 80 and over, Child, Female, Genetic Predisposition to Disease, Genetic Variation, Genotype, Humans, Male, Middle Aged, Obesity epidemiology, Odds Ratio, Phenotype, Polymorphism, Single Nucleotide, White People genetics, Young Adult, Adaptor Proteins, Signal Transducing genetics, Brain-Derived Neurotrophic Factor genetics, Obesity genetics, Snacks physiology
Abstract: We investigated the effect of 24 obesity-predisposing single nucleotide polymorphisms (SNPs), separately and in combination, on snacking behavior in three European populations. The 24 SNPs were genotyped in 7,502 subjects (1,868 snackers and 5,634 non-snackers). We tested the hypothesis that obesity risk variants or a genetic risk score increases snacking using a logistic regression adjusted for sex, age, and body mass index. The obesity genetic risk score was not associated with snacking (odds ratio (OR) = 1.00 [0.98-1.02], P value = 0.48). The obesity risk variants of two SNPs (rs925946 and rs7498665) close to the BDNF and SH2B1 genes showed nominal evidence of association with increased snacking (OR = 1.09 [1.01-1.17], P value = 0.0348 and OR = 1.11 [1.04-1.19], P value = 0.00703, respectively) but did not survive Bonferroni corrections for multiple testing. The associations of rs925946 and rs7498665 obesity risk variants with increased BMI (β = 0.180 [0.022-0.339], P value = 0.0258 and β = 0.166 [0.019-0.313], P value = 0.0271, respectively) were slightly attenuated after adjusting for snacking (β = 0.151 [-0.006 to 0.309], P value = 0.0591 and β = 0.152 [0.006-0.297], P value = 0.0413). Our data suggest that genetic predisposition to obesity does not significantly contribute to snacking behavior. The nominal associations of rs925946 and rs7498665 obesity risk variants near the BDNF and SH2B1 genes with increased snacking deserve further investigation.
Published: 2013
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6. Common variants in FTO, MC4R, TMEM18, PRL, AIF1, and PCSK1 show evidence of association with adult obesity in the Greek population.

Author: Rouskas K, Kouvatsi A, Paletas K, Papazoglou D, Tsapas A, Lobbens S, Vatin V, Durand E, Labrune Y, Delplanque J, Meyre D, and Froguel P
Subjects: Alpha-Ketoglutarate-Dependent Dioxygenase FTO, Calcium-Binding Proteins, Case-Control Studies, Female, Follow-Up Studies, Genetic Predisposition to Disease, Genome-Wide Association Study, Genotype, Greece epidemiology, Humans, Male, Microfilament Proteins, Middle Aged, Obesity epidemiology, Risk Factors, Cell Cycle Proteins genetics, DNA-Binding Proteins genetics, Membrane Proteins genetics, Neuropeptides genetics, Obesity genetics, Polymorphism, Single Nucleotide, Protein Tyrosine Phosphatases genetics, Proteins genetics, Receptor, Melanocortin, Type 4 genetics
Abstract: Twenty-four single-nucleotide polymorphisms (SNPs) have been reproducibly associated with obesity. We performed a follow-up study for obesity in the Greek adult population. A total of 510 obese and 469 lean adults were genotyped for 24 SNPs. We tested the association with obesity status using logistic regression and we evaluated the combined genetic risk of 24 SNPs by calculating the area under the receiver-operating characteristic (ROC) curves. We nominally replicated the association with obesity (BMI ≥30 kg/m(2)) of six SNPs in or near the FTO, MC4R, TMEM18, PRL, AIF1, and PCSK1 loci (1.28 ≤ odds ratio (OR) ≤ 1.35; 0.004 ≤ P ≤ 0.043). The discrimination ability for obesity was slightly stronger (P = 9.59 × 10(-6)) when the genetic information of the 24 SNPs was added to nongenetic risk factors (area under the curve (AUC) = 0.722) in comparison with nongenetic factors analyzed alone (AUC = 0.685). Our data suggest that SNPs in or near the FTO, MC4R, TMEM18, PRL, AIF1, and PCSK1 loci contribute to obesity risk in the Greek population.
Published: 2012
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7. Estimation of newborn risk for child or adolescent obesity: lessons from longitudinal birth cohorts.

Author: Morandi A, Meyre D, Lobbens S, Kleinman K, Kaakinen M, Rifas-Shiman SL, Vatin V, Gaget S, Pouta A, Hartikainen AL, Laitinen J, Ruokonen A, Das S, Khan AA, Elliott P, Maffeis C, Gillman MW, Järvelin MR, and Froguel P
Subjects: Adolescent, Adult, Birth Weight, Body Mass Index, Child, Cohort Studies, Female, Finland epidemiology, Humans, Logistic Models, Male, Middle Aged, Obesity prevention & control, White People, Young Adult, Obesity epidemiology, Risk
Abstract: Objectives: Prevention of obesity should start as early as possible after birth. We aimed to build clinically useful equations estimating the risk of later obesity in newborns, as a first step towards focused early prevention against the global obesity epidemic., Methods: We analyzed the lifetime Northern Finland Birth Cohort 1986 (NFBC1986) (N = 4,032) to draw predictive equations for childhood and adolescent obesity from traditional risk factors (parental BMI, birth weight, maternal gestational weight gain, behaviour and social indicators), and a genetic score built from 39 BMI/obesity-associated polymorphisms. We performed validation analyses in a retrospective cohort of 1,503 Italian children and in a prospective cohort of 1,032 U.S. children., Results: In the NFBC1986, the cumulative accuracy of traditional risk factors predicting childhood obesity, adolescent obesity, and childhood obesity persistent into adolescence was good: AUROC = 0·78[0·74-0.82], 0·75[0·71-0·79] and 0·85[0·80-0·90] respectively (all p<0·001). Adding the genetic score produced discrimination improvements ≤1%. The NFBC1986 equation for childhood obesity remained acceptably accurate when applied to the Italian and the U.S. cohort (AUROC = 0·70[0·63-0·77] and 0·73[0·67-0·80] respectively) and the two additional equations for childhood obesity newly drawn from the Italian and the U.S. datasets showed good accuracy in respective cohorts (AUROC = 0·74[0·69-0·79] and 0·79[0·73-0·84]) (all p<0·001). The three equations for childhood obesity were converted into simple Excel risk calculators for potential clinical use., Conclusion: This study provides the first example of handy tools for predicting childhood obesity in newborns by means of easily recorded information, while it shows that currently known genetic variants have very little usefulness for such prediction.
Published: 2012
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8. Early detrimental metabolic outcomes of rs17300539-A allele of ADIPOQ gene despite higher adiponectinemia.

Author: Morandi A, Maffeis C, Lobbens S, Bouatia-Naji N, Heude B, Pinelli L, Meyre D, and Froguel P
Subjects: Adiponectin blood, Adiponectin genetics, Adolescent, Child, Cholesterol, HDL blood, Female, Genotype, Homeostasis genetics, Humans, Insulin Resistance genetics, Male, Obesity metabolism, Risk Factors, Triglycerides blood, Obesity ethnology, Obesity genetics, Polymorphism, Single Nucleotide, White People statistics & numerical data
Abstract: Minor allele A of single-nucleotide polymorphism (SNP) 11391 G/A of ADIPOQ gene (rs17300539) has been consistently associated with higher adiponectin levels in adults and children. The aim of this study was to investigate the metabolic role of this variant in a large cohort of children of European origin. A total of 1,852 children from two general populations in Verona and in Fleurbaix-Laventie and from the Lille childhood obesity cohort, were genotyped and pooled together after checking for the absence of genetic heterogeneity for rs17300539 between Italian and French children. The genotype of rs17300539 was studied in relation to circulating adiponectin levels, BMI, fasting plasma glucose, fasting serum insulin (FSI), insulin resistance index (homeostasis model assessment of insulin resistance (HOMA(IR))), high-density lipoprotein cholesterol, and triglycerides. After adjustment for known confounders, rs17300539 GA+AA carriers had 1.6 microg/ml higher adiponectin levels (P = 6 x 10(-8)) than GG carriers. They also showed higher BMI (B = 0.97, P = 0.015) and higher prevalence of obesity (OR = 1.35 (1.06-1.85), P = 0.015) than GG carriers. Before adjusting for obesity status, GA+AA carriers had higher FSI (B = 1.10, P = 0.040) and higher HOMA(IR) (B = 0.31, P = 0.020) than GG carriers. After adjustment for obesity status, they did not differ from GG carriers for any metabolic parameter, either among obese or nonobese children. The rs17300539-A variant, though consistently associated with higher adiponectin levels, does not exert any appreciable protective metabolic effect in children, either in the presence or absence of obesity. In contrast, this SNP may increase the risk for childhood obesity and related insulin resistance.
Published: 2010
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9. ACDC/adiponectin polymorphisms are associated with severe childhood and adult obesity.

Author: Bouatia-Naji N, Meyre D, Lobbens S, Séron K, Fumeron F, Balkau B, Heude B, Jouret B, Scherer PE, Dina C, Weill J, and Froguel P
Subjects: Adiponectin blood, Adiponectin genetics, Adult, Body Mass Index, Case-Control Studies, Child, Haplotypes, Humans, Insulin Resistance genetics, Risk Factors, Obesity genetics, Polymorphism, Single Nucleotide genetics
Abstract: Common single nucleotide polymorphisms (SNPs) in the ACDC adiponectin encoding gene have been associated with insulin resistance and type 2 diabetes in several populations. Here, we investigate the role of SNPs -11,377C > G, -11,391G > A, +45T > G, and +276G > T in 2,579 French Caucasians (1,229 morbidly obese and 1,350 control subjects). We found an association between severe forms of obesity and -11,377C (odds ratio 1.23, P = 0.001) and +276T (1.19, P = 0.006). Surprisingly, alternative alleles -11,377G and +276G have been previously reported as risk factors for type 2 diabetes. Transmission disequilibrium tests showed a trend in overtransmission (56.7%) of a risk haplotype 1((C))-1((G))-1((T))-2((T)) including -11,377C and +276T in 634 obesity trios (P = 0.097). Family-based analysis in 400 trios from the general population indicated association between obesity haplotype and higher adiponectin levels, suggesting a role of hyperadiponectinemia in weight gain. However, experiments studying the putative roles of SNPs -11,377C > G and +276G > T on ACDC functionality were not conclusive. In contrast, promoter SNP -11,391G > A was associated with higher adiponectin levels in obese children (P = 0.005) and in children from the general population (0.00007). In vitro transcriptional assays showed that -11,391A may increase ACDC activity. In summary, our study suggests that variations at the ACDC/adiponectin gene are associated with risk of severe forms of obesity. However, the mechanisms underlying these possible associations are not fully understood.
Published: 2006
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10. Implication of the Pro12Ala polymorphism of the PPAR-gamma 2 gene in type 2 diabetes and obesity in the French population.

Author: Ghoussaini M, Meyre D, Lobbens S, Charpentier G, Clément K, Charles MA, Tauber M, Weill J, and Froguel P
Subjects: Adolescent, Adult, Alanine genetics, Amino Acid Substitution, Case-Control Studies, Child, Diabetes Mellitus, Type 2 diagnosis, Diabetes Mellitus, Type 2 ethnology, Female, France ethnology, Gene Frequency, Humans, Insulin blood, Insulin Resistance, Male, Middle Aged, Obesity diagnosis, Obesity ethnology, Phenotype, Proline genetics, White People genetics, Diabetes Mellitus, Type 2 genetics, Genetic Predisposition to Disease, Obesity genetics, PPAR gamma genetics, Polymorphism, Single Nucleotide
Abstract: Background: The Pro12Ala Single Nucleotide Polymorphism (SNP) of the Peroxisome Proliferator-Activated Receptor gamma 2 (PPAR-gamma 2) has been associated with insulin resistance and type 2 diabetes (T2D) and also inconsistently with obesity. The aim of this study was to evaluate the impact of this SNP with regards to T2D and childhood and adult obesity in the French Caucasian population., Methods: We conducted three independent case/control studies encompassing 2126 cases and 1124 controls., Results: We found a significant association between PPAR-gamma 2 Pro12Ala SNP and T2D (p = 0.04, OR = 1.37), which was stronger when the T2D cohort was stratified according to the obesity status (p = 0.03, OR = 1.81 in obese T2D subjects). In contrast, there was no association between the Pro12Ala SNP and childhood and adulthood obesity. In normal glucose tolerant obese adults (but not in lean subjects), the Pro12 allele was associated with a significant increase in fasting insulin levels (p = 0.01), and in insulin resistance estimated by the Homeostasis Model Assessment of Insulin Resistance (HOMA-IR) (p = 0.003), after adjustment for age, gender and BMI. We didn't detect evidence for an interaction effect between the Pro12Ala SNP and the obesity status with respect to the HOMA-IR index in normal glucose tolerant children, but we found a borderline interaction (p = 0.06) in normal glucose tolerant adults., Conclusion: Our results showed that the Pro12Ala polymorphism is not associated with childhood or adult obesity in the French Caucasian population. In contrast, we confirm a contribution of the PPAR-gamma 2 Pro12 allele in the genetic risk forT2D, especially in obese subjects, where this allele worsens insulin resistanceand increases fasting insulin levels.
Published: 2005
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11. New genetic loci link adipose and insulin biology to body fat distribution

Author: Shungin, Dmitry, Winkler, Thomas W, Workalemahu, Tsegaselassie, Hartman, Catharina A, Duncan, Emma L, Ntzani, Evangelia E, Oei, Ling, Albagha, Omar M E, Amin, Najaf, Kemp, John P, Koller, Daniel L, Li, Guo, Liu, Ching-Ti, Minster, Ryan L, Hassinen, Maija, Moayyeri, Alireza, Vandenput, Liesbeth, Willner, Dana, Xiao, Su-Mei, Yerges-Armstrong, Laura M, Zheng, Hou-Feng, Alonso, Nerea, Eriksson, Joel, Kammerer, Candace M, Kaptoge, Stephen K, Hayward, Caroline, Leo, Paul J, Thorleifsson, Gudmar, Wilson, Scott G, Wilson, James F, Aalto, Ville, Alen, Markku, Aragaki, Aaron K, Aspelund, Thor, Center, Jacqueline R, Dailiana, Zoe, Heikkilä, Kauko, Duggan, David J, Garcia, Melissa, Garcia-Giralt, Natàlia, Giroux, Sylvie, Hallmans, Göran, Hocking, Lynne J, Husted, Lise Bjerre, Jameson, Karen A, Khusainova, Rita, Kim, Ghi Su, Herzig, Karl-Heinz, Kooperberg, Charles, Koromila, Theodora, Kruk, Marcin, Laaksonen, Marika, Lacroix, Andrea Z, Lee, Seung Hun, Leung, Ping C, Lewis, Joshua R, Masi, Laura, Mencej-Bedrac, Simona, Helmer, Quinta, Nguyen, Tuan V, Nogues, Xavier, Patel, Millan S, Prezelj, Janez, Rose, Lynda M, Scollen, Serena, Siggeirsdottir, Kristin, Smith, Albert V, Svensson, Olle, Trompet, Stella, Hillege, Hans L, Trummer, Olivia, van Schoor, Natasja M, Woo, Jean, Zhu, Kun, Balcells, Susana, Brandi, Maria Luisa, Buckley, Brendan M, Cheng, Sulin, Christiansen, Claus, Cooper, Cyrus, Holmen, Oddgeir, Dedoussis, George, Ford, Ian, Frost, Morten, Goltzman, David, González-Macías, Jesús, Kähönen, Mika, Karlsson, Magnus, Khusnutdinova, Elza, Koh, Jung-Min, Kollia, Panagoula, Hunt, Steven C, Langdahl, Bente Lomholt, Leslie, William D, Lips, Paul, Ljunggren, Östen, Lorenc, Roman S, Marc, Janja, Mellström, Dan, Obermayer-Pietsch, Barbara, Olmos, José M, Pettersson-Kymmer, Ulrika, Isaacs, Aaron, Reid, David M, Riancho, José A, Ridker, Paul M, Rousseau, François, Slagboom, P Eline, Tang, Nelson L S, Urreizti, Roser, Van Hul, Wim, Viikari, Jorma, Zarrabeitia, María T, Wu, Joseph M W, Ittermann, Till, Aulchenko, Yurii S, Castano-Betancourt, Martha, Grundberg, Elin, Herrera, Lizbeth, Ingvarsson, Thorvaldur, Johannsdottir, Hrefna, Kwan, Tony, Li, Rui, Luben, Robert, Medina-Gómez, Carolina, James, Alan L, Palsson, Stefan Th, Reppe, Sjur, Rotter, Jerome I, Sigurdsson, Gunnar, van Meurs, Joyce B J, Verlaan, Dominique, Williams, Frances M K, Wood, Andrew R, Zhou, Yanhua, Gautvik, Kaare M, Johansson, Ingegerd, Pastinen, Tomi, Raychaudhuri, Soumya, Cauley, Jane A, Chasman, Daniel I, Clark, Graeme R, Cummings, Steven R, Danoy, Patrick, Dennison, Elaine M, Eastell, Richard, Eisman, John A, Juliusdottir, Thorhildur, Gudnason, Vilmundur, Hofman, Albert, Jackson, Rebecca D, Jones, Graeme, Jukema, J Wouter, Khaw, Kay-Tee, Lehtimäki, Terho, Liu, Yongmei, Lorentzon, Mattias, McCloskey, Eugene, Kalafati, Ioanna-Panagiota, Mitchell, Braxton D, Nandakumar, Kannabiran, Nicholson, Geoffrey C, Oostra, Ben A, Peacock, Munro, Pols, Huibert A P, Prince, Richard L, Raitakari, 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Haessler, J., Kocarnik, J., Lin, Y., Jackson, R., Duggan, D., Kuller, L., Stolk, L., He, C., Sulem, P., Barbalic, M., Broer, L., Byrne, EM., Gudbjartsson, DF., McArdle, PF., Porcu, E., van Wingerden, S., Zhuang, W., Albrecht, E., Alizadeh, BZ., Lauc, LB., Broekmans, FJ., Burri, A., Chanock, SJ., Chen, C., Corre, T., Coviello, AD., d'Adamo, P., Davies, G., Deary, IJ., Ebrahim, S., Fauser, BC., Ferreli, L., Folsom, AR., Garcia, ME., Hall, P., Haller, T., Hankinson, SE., Hass, M., Heath, AC., Janssens, AC., Keyzer, J., Lahti, J., Lai, S., Laisk, T., Laven, JS., Liu, J., Lopez, LM., Louwers, YV., Marongiu, M., Klaric, IM., Masciullo, C., McKnight, B., Medland, SE., Melzer, D., Newman, AB., Paré, G., Peeters, PH., Plump, AS., Pop, VJ., Räikkönen, K., Salumets, A., Smith, JA., Stacey, SN., Starr, JM., Stathopoulou, MG., Tenesa, A., Thorand, B., Tryggvadottir, L., Tsui, K., van Dam RM., van Gils CH., van Nierop, P., Vink, JM., Voorhuis, M., Wallaschofski, H., Widen, E., Wijnands-van Gent CJ., Zgaga, L., Zygmunt, M., Arnold, AM., Buring, JE., Crisponi, L., Demerath, EW., Hunter, DJ., Schlessinger, D., Murray, A., Murabito, JM., Visser, JA., Lunetta, KL., Elks, CE., Cousminer, DL., Feenstra, B., Lin, P., van Wingerden SW., Smith, EN., Warrington, NM., Alavere, H., Barroso, I., Berenson, GS., Blackburn, H., Busonero, F., Chen, W., Couper, D., Easton, DF., Foroud, T., Geller, F., Hernandez, DG., Kilpeläinen, TO., Li, S., Melbye, M., Murray, JC., Murray, SS., Nelis, M., Ness, AR., Northstone, K., Pennell, CE., Pharoah, P., Rafnar, T., Rice, JP., Ring, SM., Schork, NJ., Segrè, AV., Sovio, U., Srinivasan, SR., Tammesoo, ML., Tyrer, J., Weedon, MN., Wichmann, H., Young, L., Zhuang, WV., Bierut, LJ., Boyd, HA., Department of Clinical Sciences, Lund University [Lund], Genetic Epidemiology and Clinical Research Group, Umea University Hospital, Department of Odontology, Umeå University, Signalisation et Transports Ioniques Membranaires (STIM), Université de Poitiers-Université de Tours (UT)-Centre National de la Recherche Scientifique (CNRS), Department of Medical Sciences, Center for Biological Sequence Analysis [Lyngby], Danmarks Tekniske Universitet = Technical University of Denmark (DTU), Laboratory of Image Science and Technology [Nanjing] (LIST), Southeast University [Jiangsu]-School of Computer Science and Engineering, Limnology, Ecology, Estonian Genome and Medicine, University of Tartu, Institute of Molecular and Cell Biology, Department of Medical Epidemiology and Biostatistics (MEB), Karolinska Institutet [Stockholm], Department of Medical Genetics, Université de Lausanne = University of Lausanne (UNIL), Institute of Medical Informatics, Biometry and Epidemiology, Universität Duisburg-Essen = University of Duisburg-Essen [Essen], Centre d'Immunologie de Marseille - Luminy (CIML), Aix Marseille Université (AMU)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), Genetic Epidemiology Unit, Erasmus University Medical Center [Rotterdam] (Erasmus MC), Space Sciences Laboratory [Berkeley] (SSL), University of California [Berkeley] (UC Berkeley), University of California (UC)-University of California (UC), Department of Biostatistics and Center for Statistical Genetics, University of Michigan [Ann Arbor], University of Michigan System-University of Michigan System, Division of Statistical Genomics, Washington University School of Medicine, King‘s College London, Department of Medicine, University of Eastern Finland-Kuopio University Hospital, Molecular Genetics Section, University of Groningen [Groningen]-University Medical Centre Groningen, Metabolic functional (epi)genomics and molecular mechanisms involved in type 2 diabetes and related diseases - UMR 8199 - UMR 1283 (EGENODIA (GI3M)), Institut Pasteur de Lille, Réseau International des Instituts Pasteur (RIIP)-Réseau International des Instituts Pasteur (RIIP)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Lille-Centre National de la Recherche Scientifique (CNRS), Geriatric Rehabilitation Unit, Azienda Sanitaria Firenze, Department of Pharmacy Sciences, Creighton University Medical Center, Medical Department III, Universität Leipzig, Foie, métabolismes et cancer, Université de Rennes (UR)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Structure Fédérative de Recherche en Biologie et Santé de Rennes ( Biosit : Biologie - Santé - Innovation Technologique ), Department of Epidemiology, Erasmus Medical Centre, Netherlands Genomics Initiative (NGI), Netherlands Genomics Initiative, Institute of Epidemiology [Neuherberg] (EPI), German Research Center for Environmental Health - Helmholtz Center München (GmbH), Department of Public Health and Clinical Medicine, Medstar Research Institute, Genetics and Pathology, Finnish Institute of Occupational Health, Epidemiology, University Medical Centre Groningen, Departments of Microbiology & Molecular Genetics and Molecular Biology & Biochemistry, University of California [Irvine] (UC Irvine), Department of Odontology, Cariology, Institute of Human Genetics, Helmholtz Zentrum München = German Research Center for Environmental Health, Génétique des maladies multifactorielles (GMM), Université de Lille, Droit et Santé-Centre National de la Recherche Scientifique (CNRS), Division of Cardiology, Geneva University Hospital (HUG), Department of Psychiatry and Psychotherapy, Rheinische Friedrich-Wilhelms-Universität Bonn, Department of Physics, Indian Institute of Technology Kanpur (IIT Kanpur), University of North Carolina [Chapel Hill] (UNC), University of North Carolina System (UNC)-University of North Carolina System (UNC), Department of Genomics, Life and Brain Center, Universität Bonn = University of Bonn, Anaesthesia and Intensive care, Royal Aberdeen Childrens Hospital, UCL Institute of neurology, UCL Institute of Neurology, Human Genetics, The Wellcome Trust Sanger Institute [Cambridge], 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= University of Helsinki, Unit of Genetic Epidemiology and Bioinformatics, Department of Epidemiology, University Medical Center Groningen, Department of Pediatrics, Augusta University - Medical College of Georgia, University System of Georgia (USG)-University System of Georgia (USG), Department of Public Health, South Ostrobothnia Central Hospital, Department of Clinical and Preventive Medicine, Danube-University Krems, Netherlands Consortium for Healthy Aging [Leiden, Netherlands] (NCHA), Institute of Public Health and Clinical Nutrition, University of Eastern Finland, MRC epidemiology Unit, Institute of Epidemiology, Clinical Genetics Branch, Division of Cancer Epidemiology & Genetics, National Institutes of Health [Bethesda] (NIH)-National Cancer Institute [Bethesda] (NCI-NIH), National Institutes of Health [Bethesda] (NIH), Department of Oncology, Queensland Brain Institute, University of Queensland [Brisbane], Harvard Reproductive Sciences Center and Reproductive Endocrine Unit, 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(BU)-National Heart, Lung, and Blood Institute [Bethesda] (NHLBI), Endocrinology and Metabolism, The Churchill Hospital-Oxford Centre for Diabetes, Landsteiner Laboratory, Clinical Haematology, Other departments, ACS - Amsterdam Cardiovascular Sciences, Vascular Medicine, Lund University Diabetes Centre-Lund University [Lund], Université de Tours-Centre National de la Recherche Scientifique (CNRS)-Université de Poitiers, Technical University of Denmark [Lyngby] (DTU), Université de Lausanne (UNIL), Universität Duisburg-Essen [Essen], Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Aix Marseille Université (AMU), University of California [Berkeley], University of California-University of California, Génomique Intégrative et Modélisation des Maladies Métaboliques (EGID), Réseau International des Instituts Pasteur (RIIP)-Réseau International des Instituts Pasteur (RIIP)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Lille-Centre Hospitalier Régional Universitaire [Lille] (CHRU Lille)-Centre National de la Recherche Scientifique (CNRS), Universität Leipzig [Leipzig], Université de Rennes 1 (UR1), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Structure Fédérative de Recherche en Biologie et Santé de Rennes ( Biosit : Biologie - Santé - Innovation Technologique ), University of California [Irvine] (UCI), German Research Center for Environmental Health, University of Bonn, Czech Academy of Sciences [Prague] (ASCR), Yale University School of Medicine, University of Oxford [Oxford], German Research Center for Environmental Health-Helmholtz-Zentrum München (HZM), Laval University, Laval University [Québec], Turku University Hospital, Lausanne university hospital, Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES), Institut de biologie de Lille - IBL (IBLI), Université de Lille, Sciences et Technologies-Institut Pasteur de Lille, Réseau International des Instituts Pasteur (RIIP)-Réseau International des Instituts Pasteur (RIIP)-Université de Lille, Droit et Santé-Centre National de la Recherche Scientifique (CNRS), University of Helsinki-University of Helsinki, Helmholtz-Zentrum München (HZM), National Heart, Lung, and Blood Institute [Bethesda] (NHLBI)-Boston University [Boston] (BU), Internal Medicine, Child and Adolescent Psychiatry / Psychology, Clinical Genetics, Medical Informatics, Obstetrics & Gynecology, Lund University [Lund]-Lund University Diabetes Centre, Metabolic functional (epi)genomics and molecular mechanisms involved in type 2 diabetes and related diseases - UMR 8199 - UMR 1283 (GI3M), Institute of Medicine-University of Gothenburg (GU), Signalisation et Transports Ioniques Membranaires ( STIM ), Université de Poitiers-Centre National de la Recherche Scientifique ( CNRS ), Technical University of Denmark [Lyngby] ( DTU ), Laboratory of Image Science and Technology [Nanjing] ( LIST ), Department of Medical Epidemiology and Biostatistics ( MEB ), University of Lausanne, Centre d'Immunologie de Marseille - Luminy ( CIML ), Aix Marseille Université ( AMU ) -Institut National de la Santé et de la Recherche Médicale ( INSERM ) -Centre National de la Recherche Scientifique ( CNRS ), Erasmus MC, Space Sciences Laboratory [Berkeley] ( SSL ), Génomique Intégrative et Modélisation des Maladies Métaboliques ( EGID ), Université de Lille-Institut National de la Santé et de la Recherche Médicale ( INSERM ) -Institut Pasteur de Lille, Réseau International des Instituts Pasteur ( RIIP ) -Réseau International des Instituts Pasteur ( RIIP ) -Centre National de la Recherche Scientifique ( CNRS ) -Centre Hospitalier Régional Universitaire [Lille] ( CHRU Lille ), University of Leipzig, Université de Rennes 1 ( UR1 ), Université de Rennes ( UNIV-RENNES ) -Université de Rennes ( UNIV-RENNES ) -Institut National de la Santé et de la Recherche Médicale ( INSERM ) -Structure Fédérative de Recherche en Biologie et Santé de Rennes ( Biosit : Biologie - Santé - Innovation Technologique ), Institute of Epidemiology [Neuherberg] ( EPI ), University of California [Irvine] ( UCI ), Génétique des maladies multifactorielles ( GMM ), Université de Lille, Droit et Santé-Centre National de la Recherche Scientifique ( CNRS ), Geneva University Hospital ( HUG ), Bonn Universität [Bonn], Indian Institute of Technology Kanpur ( IIT Kanpur ), The University of North Carolina at Chapel Hill, Université de Bonn, Wellcome Trust Sanger Institute, Harvard University School of Public Health, Czech Academy of Sciences [Prague] ( ASCR ), deCODE genetics, University of Groningen [Groningen]-University Medical Center Groningen-Beatrix Children's Hospital-Groningen Research Institute for Asthma and COPD, Yale School of Medicine, National Heart and Lung Institute ( NHLI ), Réseau International des Instituts Pasteur ( RIIP ) -Réseau International des Instituts Pasteur ( RIIP ) -Institut National de la Santé et de la Recherche Médicale ( INSERM ) -Université de Lille, Droit et Santé, University Medical Center Groningen, University of Cambridge [UK] ( CAM ), Wellcome Trust Centre for Human Genetics, University of Pisa [Pisa], University of Cambridge [UK] ( CAM ) -Institute of Metabolic Science, German Research Center for Environmental Health-Helmholtz-Zentrum München ( HZM ), University of Otago, University of Greifswald, University College of London [London] ( UCL ), National Institute for Health and Welfare, Queen's University [Belfast] ( QUB ), University of Hawaii at Manoa ( UHM ), University of Gothenburg ( GU ) -Institute of Medicine, Recherches en Psychopathologie, nouveaux symptômes et lien social ( EA 4050 ), Université de Poitiers-Université de Brest ( UBO ) -Université Catholique de l'Ouest-Université de Rennes 2 ( UR2 ), Université de Rennes ( UNIV-RENNES ) -Université de Rennes ( UNIV-RENNES ), Institut de biologie de Lille - IBL ( IBLI ), Réseau International des Instituts Pasteur ( RIIP ) -Réseau International des Instituts Pasteur ( RIIP ) -Université de Lille, Droit et Santé-Centre National de la Recherche Scientifique ( CNRS ), Institut Cochin ( UM3 (UMR 8104 / U1016) ), Université Paris Descartes - Paris 5 ( UPD5 ) -Institut National de la Santé et de la Recherche Médicale ( INSERM ) -Centre National de la Recherche Scientifique ( CNRS ), University Medicine Greifswald,-HELIOS Hospital Stralsund, Finland Institute for Molecular Medicine ( FIMM ), Georgia Prevention Institute, Netherlands Consortium for Healthy Aging, Helmholtz-Zentrum München ( HZM ), National Institutes of Health ( NIH ) -National Cancer Institute ( NIH ), Massachusetts General Hospital, Children's Hospital, Boston, Broad Institute, Cambridge, MA, The University of North Carolina at Chapel Hill-UNC Gillings School of Global Public Health-Carolina Center for Genome Sciences, Shungin D, Winkler TW, Adipogen, Consortium, Cardiogramplusc4d, Consortium, Ckdgen, Consortium, Gefos, Consortium, Genie, Consortium, Glgc, Icbp, International, Endogene Consortium, Lifelines, Cohort Study, Magic, Investigator, Muther, Consortium, Consortium, Page, ReproGen Consortium, Amouyel P, D'Adamo, ADAMO PIO, Gasparini, Paolo, Shungin, Dmitry, Winkler, Thomas W, Croteau-Chonka, Damien C, Ferreira, Teresa, Hypponen, Elina, Mohlke, Karen L, ADIPOGEN Consortium, Int Endogene Consortium, Lee Kong Chian School of Medicine (LKCMedicine), Epidemiologie, RS: CARIM - R3.02 - Hypertension and target organ damage, Université de Tours-Université de Poitiers-Centre National de la Recherche Scientifique (CNRS), Centre National de la Recherche Scientifique (CNRS)-Université Paris Descartes - Paris 5 (UPD5)-Institut National de la Santé et de la Recherche Médicale (INSERM), Biological Psychology, Neuroscience Campus Amsterdam - Neurobiology of Mental Health, EMGO+ - Lifestyle, Overweight and Diabetes, Damage and Repair in Cancer Development and Cancer Treatment (DARE), Guided Treatment in Optimal Selected Cancer Patients (GUTS), Interdisciplinary Centre Psychopathology and Emotion regulation (ICPE), Life Course Epidemiology (LCE), Cardiovascular Centre (CVC), Groningen Kidney Center (GKC), Groningen Institute for Gastro Intestinal Genetics and Immunology (3GI), Groningen Research Institute for Asthma and COPD (GRIAC), Groningen Institute for Organ Transplantation (GIOT), Lifestyle Medicine (LM), Center for Liver, Digestive and Metabolic Diseases (CLDM), Stem Cell Aging Leukemia and Lymphoma (SALL), Shungin, D, Winkler, T, Croteau Chonka, D, Ferreira, T, Locke, A, Mägi, R, Strawbridge, R, Pers, T, Fischer, K, Justice, A, Workalemahu, T, Wu, J, Buchkovich, M, Heard Costa, N, Roman, T, Drong, A, Song, C, Gustafsson, S, Day, F, Esko, T, Fall, T, Kutalik, Z, Luan, J, Randall, J, Scherag, A, Vedantam, S, Wood, A, Chen, J, Fehrmann, R, Karjalainen, J, Kahali, B, Liu, C, Schmidt, E, Absher, D, Amin, N, Anderson, D, Beekman, M, Bragg Gresham, J, Buyske, S, Demirkan, A, Ehret, G, Feitosa, M, Goel, A, Jackson, A, Johnson, T, Kleber, M, Kristiansson, K, Mangino, M, Leach, I, Medina Gomez, C, Palmer, C, Pasko, D, Pechlivanis, S, Peters, M, Prokopenko, I, Stanca'Kova', A, Sung, Y, Tanaka, T, Teumer, A, Van Vliet Ostaptchouk, J, Yengo, L, Zhang, W, Albrecht, E, Ärnlöv, J, Arscott, G, Bandinelli, S, Barrett, A, Bellis, C, Bennett, A, Berne, C, Blüher, M, Böhringer, S, Bonnet, F, Böttcher, Y, Bruinenberg, M, Carba, D, Caspersen, I, Clarke, R, Daw, E, Deelen, J, Deelman, E, Delgado, G, Doney, A, Eklund, N, Erdos, M, Estrada, K, Eury, E, Friedrich, N, Garcia, M, Giedraitis, V, Gigante, B, Go, A, Golay, A, Grallert, H, Grammer, T, Gräsler, J, Grewal, J, Groves, C, Haller, T, Hallmans, G, Hartman, C, Hassinen, M, Hayward, C, Heikkilä, K, Herzig, K, Helmer, Q, Hillege, H, Holmen, O, Hunt, S, Isaacs, A, Ittermann, T, James, A, Johansson, I, Juliusdottir, T, Kalafati, I, Kinnunen, L, Koenig, W, Kooner, I, Kratzer, W, Lamina, C, Leander, K, Lee, N, Lichtner, P, Lind, L, Lindström, J, Lobbens, S, Lorentzon, M, Mach, F, Magnusson, P, Mahajan, A, Mcardle, W, Menni, C, Merger, S, Mihailov, E, Milani, L, Mills, R, Moayyeri, A, Monda, K, Mooijaart, S, Mühleisen, T, Mulas, A, Müller, G, Müller Nurasyid, M, Nagaraja, R, Nalls, M, Narisu, N, Glorioso, N, Nolte, I, Olden, M, Rayner, N, Renstrom, F, Ried, J, Robertson, N, Rose, L, Sanna, S, Scharnagl, H, Scholtens, S, Sennblad, B, Seufferlein, T, Sitlani, C, Smith, A, Stirrups, K, Stringham, H, Sundström, J, Swertz, M, Swift, A, Syvänen, A, Tayo, B, Thorand, B, Thorleifsson, G, Tomaschitz, A, Troffa, C, Van Oort, F, Verweij, N, Vonk, J, Waite, L, Wennauer, R, Wilsgaard, T, Wojczynski, M, Wong, A, Zhang, Q, Zhao, J, Brennan, E, Choi, M, Eriksson, P, Folkersen, L, Franco Cereceda, A, Gharavi, A, Hedman, A, Hivert, M, Huang, J, Kanoni, S, Karpe, F, Keildson, S, Kiryluk, K, Liang, L, Lifton, R, Ma, B, Mcknight, A, Mcpherson, R, Metspalu, A, Min, J, Moffatt, M, Montgomery, G, Murabito, J, Nicholson, G, Nyholt, D, Olsson, C, Perry, J, Reinmaa, E, Salem, R, Sandholm, N, Schadt, E, Scott, R, Stolk, L, Vallejo, E, Westra, H, Zondervan, K, Amouyel, P, Arveiler, D, Bakker, S, Beilby, J, Bergman, R, Blangero, J, Brown, M, Burnier, M, Campbell, H, Chakravarti, A, Chines, P, Claudi Boehm, S, Collins, F, Crawford, D, Danesh, J, De Faire, U, De Geus, E, Dörr, M, Erbel, R, Eriksson, J, Farrall, M, Ferrannini, E, Ferrières, J, Forouhi, N, Forrester, T, Franco, O, Gansevoort, R, Gieger, C, Gudnason, V, Haiman, C, Harris, T, Hattersley, A, Heliövaara, M, Hicks, A, Hingorani, A, Hoffmann, W, Hofman, A, Homuth, G, Humphries, S, Hyppönen, E, Illig, T, Jarvelin, M, Johansen, B, Jousilahti, P, Jula, A, Kaprio, J, Kee, F, Keinanen Kiukaanniemi, S, Kooner, J, Kooperberg, C, Kovacs, P, Kraja, A, Kumari, M, Kuulasmaa, K, Kuusisto, J, Lakka, T, Langenberg, C, Le Marchand, L, Lehtimäki, T, Lyssenko, V, Männistö, S, Marette, A, Matise, T, Mckenzie, C, Mcknight, B, Musk, A, Möhlenkamp, S, Morris, A, Nelis, M, Ohlsson, C, Oldehinkel, A, Ong, K, Palmer, L, Penninx, B, Peters, A, Pramstaller, P, Raitakari, O, Rankinen, T, Rao, D, Rice, T, Ridker, P, Ritchie, M, Rudan, I, Salomaa, V, Samani, N, Saramies, J, Sarzynski, M, Schwarz, P, Shuldiner, A, Staessen, J, Steinthorsdottir, V, Stolk, R, Strauch, K, Tönjes, A, Tremblay, A, Tremoli, E, Vohl, M, Völker, U, Vollenweider, P, Wilson, J, Witteman, J, Adair, L, Bochud, M, Boehm, B, Bornstein, S, Bouchard, C, Cauchi, S, Caulfield, M, Chambers, J, Chasman, D, Cooper, R, Dedoussis, G, Ferrucci, L, Froguel, P, Grabe, H, Hamsten, A, Hui, J, Hveem, K, Jöckel, K, Kivimaki, M, Kuh, D, Laakso, M, Liu, Y, März, W, Munroe, P, Njolstad, I, Oostra, B, Pedersen, N, Perola, M, Pe'Russe, L, Peters, U, Power, C, Quertermous, T, Rauramaa, R, Rivadeneira, F, Saaristo, T, Saleheen, D, Sinisalo, J, Slagboom, P, Snieder, H, Spector, T, Thorsteinsdottir, U, Stumvoll, M, Tuomilehto, J, Uitterlinden, A, Uusitupa, M, Van Der Harst, P, Veronesi, G, Walker, M, Wareham, N, Watkins, H, Wichmann, H, Abecasis, G, Assimes, T, Berndt, S, Boehnke, M, Borecki, I, Deloukas, P, Franke, L, Frayling, T, Groop, L, Hunter, D, Kaplan, R, O'Connell, J, Qi, L, Schlessinger, D, Strachan, D, Stefansson, K, Van Duijn, C, Willer, C, Visscher, P, Yang, J, Hirschhorn, J, Zillikens, M, Mccarthy, M, Speliotes, E, North, K, Fox, C, Barroso, I, Franks, P, Ingelsson, E, Heid, I, Loos, R, Cupples, L, Lindgren, C, Mohlke, K, Dastani, Z, Timpson, N, Yuan, X, Henneman, P, Kizer, J, Lyytikainen, L, Fuchsberger, C, Small, K, Coassin, S, Lohman, K, Pankow, J, Uh, H, Wu, Y, Bidulescu, A, Rasmussen Torvik, L, Greenwood, C, Ladouceur, M, Grimsby, J, Manning, A, Mooser, V, Kapur, K, Frants, R, Willemsvan vanDijk, K, Willems, S, Psaty, B, Tracy, R, Brody, J, Chen, I, Viikari, J, Kähönen, M, Evans, D, St Pourcain, B, Sattar, N, Carlson, O, Egan, J, van Heemst, D, Kedenko, L, Nuotio, M, Loo, B, Kanaya, A, Haun, M, Klopp, N, Katsareli, E, Couper, D, Duncan, B, Kloppenburg, M, Borja, J, Musani, S, Guo, X, Semple, R, Teslovich, T, Allison, M, Redline, S, Buxbaum, S, Meulenbelt, I, Ballantyne, C, Hu, F, Paulweber, B, Florez, J, Smith, G, Siscovick, D, Kronenberg, F, van Duijn, C, Waterworth, D, Meigs, J, Dupuis, J, Richards, J, Willenborg, C, Thompson, J, Erdmann, J, Goldstein, B, König, I, Cazier, J, Johansson, Å, Hall, A, Lee, J, Grundberg, E, Havulinna, A, Ho, W, Hopewell, J, Eriksson, N, Lundmark, P, Lyytikäinen, L, Rafelt, S, Tikkanen, E, Van Zuydam, N, Voight, B, Ziegler, A, Altshuler, D, Balmforth, A, Braund, P, Burgdorf, C, Cox, D, Dimitriou, M, Do, R, El Mokhtari, N, Fontanillas, P, Hager, J, Han, B, Kang, H, Kessler, T, Knowles, J, Kolovou, G, Langford, C, Lokki, M, Lundmark, A, Meisinger, C, Melander, O, Maouche, S, Nikus, K, Peden, J, Rasheed, A, Rosinger, S, Rubin, D, Rumpf, M, Schäfer, A, Sivananthan, M, Stewart, A, Tan, S, Thorgeirsson, G, van der Schoot, C, Wagner, P, Wells, G, Wild, P, Yang, T, Basart, H, Boerwinkle, E, Brambilla, P, Cambien, F, Cupples, A, de Faire, U, Dehghan, A, Diemert, P, Epstein, S, Evans, A, Ferrario, M, Gauguier, D, Goodall, A, Hazen, S, Holm, H, Iribarren, C, Jang, Y, Kim, H, Laaksonen, R, Ouwehand, W, Parish, S, Park, J, Rader, D, Shah, S, Stark, K, Trégouët, D, Virtamo, J, Wallentin, L, Zimmermann, M, Nieminen, M, Hengstenberg, C, Sandhu, M, Pastinen, T, Hovingh, G, Zalloua, P, Siegbahn, A, Schreiber, S, Ripatti, S, Blankenberg, S, O'Donnell, C, Reilly, M, Collins, R, Kathiresan, S, Roberts, R, Schunkert, H, Pattaro, C, Köttgen, A, Garnaas, M, Böger, C, Chen, M, Tin, A, Taliun, D, Li, M, Gao, X, Gorski, M, Yang, Q, Hundertmark, C, Foster, M, O'Seaghdha, C, Glazer, N, Struchalin, M, Li, G, Johnson, A, Gierman, H, Hwang, S, Atkinson, E, Cornelis, M, Chouraki, V, Holliday, E, Sorice, R, Deshmukh, H, Ulivi, S, Chu, A, Murgia, F, Trompet, S, Imboden, M, Kollerits, B, Pistis, G, Launer, L, Aspelund, T, Eiriksdottir, G, Mitchell, B, Schmidt, H, Cavalieri, M, Rao, M, de Andrade, M, Turner, S, Ding, J, Andrews, J, Freedman, B, Döring, A, Kolcic, I, Zemunik, T, Boban, M, Minelli, C, Wheeler, H, Igl, W, Zaboli, G, Wild, S, Wright, A, Ellinghaus, D, Nöthlings, U, Jacobs, G, Biffar, R, Endlich, K, Ernst, F, Kroemer, H, Nauck, M, Stracke, S, Völzke, H, Aulchenko, Y, Polasek, O, Hastie, N, Vitart, V, Helmer, C, Wang, J, Ruggiero, D, Bergmann, S, Nikopensius, T, Province, M, Ketkar, S, Colhoun, H, Robino, A, Giulianini, F, Krämer, B, Portas, L, Ford, I, Buckley, B, Adam, M, Thun, G, Sala, C, Metzger, M, Mitchell, P, Ciullo, M, Kim, S, Gasparini, P, Pirastu, M, Jukema, J, Probst Hensch, N, Toniolo, D, Coresh, J, Schmidt, R, Kardia, S, Curhan, G, Gyllensten, U, Franke, A, Rettig, R, Parsa, A, Goessling, W, Kao, W, de Boer, I, Peralta, C, Akylbekova, E, Kramer, H, van der Harst, P, Arking, D, Franceschini, N, Hernandez, D, Townsend, R, Lumley, T, Kestenbaum, B, Haritunians, T, Waeber, G, Lu, X, Leak, T, Aasarød, K, Skorpen, F, Baumert, J, Devuyst, O, Mychaleckyj, J, Hallan, S, Navis, G, Shlipak, M, Bull, S, Paterson, A, Rotter, J, Beckmann, J, Dreisbach, A, Styrkarsdottir, U, Evangelou, E, Hsu, Y, Duncan, E, Ntzani, E, Oei, L, Albagha, O, Kemp, J, Koller, D, Minster, R, Vandenput, L, Willner, D, Xiao, S, Yerges Armstrong, L, Zheng, H, Alonso, N, Kammerer, C, Kaptoge, S, Leo, P, Wilson, S, Aalto, V, Alen, M, Aragaki, A, Center, J, Dailiana, Z, Duggan, D, Garcia Giralt, N, Giroux, S, Hocking, L, Husted, L, Jameson, K, Khusainova, R, Kim, G, Koromila, T, Kruk, M, Laaksonen, M, Lacroix, A, Lee, S, Leung, P, Lewis, J, Masi, L, Mencej Bedrac, S, Nguyen, T, Nogues, X, Patel, M, Prezelj, J, Scollen, S, Siggeirsdottir, K, Svensson, O, Trummer, O, van Schoor, N, Woo, J, Zhu, K, Balcells, S, Brandi, M, Cheng, S, Christiansen, C, Cooper, C, Frost, M, Goltzman, D, González Macías, J, Karlsson, M, Khusnutdinova, E, Koh, J, Kollia, P, Langdahl, B, Leslie, W, Lips, P, Ljunggren, Ö, Lorenc, R, Marc, J, Mellström, D, Obermayer Pietsch, B, Olmos, J, Pettersson Kymmer, U, Reid, D, Riancho, J, Rousseau, F, Tang, N, Urreizti, R, Van Hul, W, Zarrabeitia, M, Castano Betancourt, M, Herrera, L, Ingvarsson, T, Johannsdottir, H, Kwan, T, Li, R, Luben, R, Medina Gómez, C, Palsson, S, Reppe, S, Sigurdsson, G, van Meurs, J, Verlaan, D, Williams, F, Zhou, Y, Gautvik, K, Raychaudhuri, S, Cauley, J, Clark, G, Cummings, S, Danoy, P, Dennison, E, Eastell, R, Eisman, J, Jackson, R, Jones, G, Khaw, K, Mccloskey, E, Nandakumar, K, Peacock, M, Pols, H, Prince, R, Reid, I, Robbins, J, Sambrook, P, Sham, P, Tylavsky, F, Econs, M, Kung, A, Reeve, J, Streeten, E, Karasik, D, Ralston, S, Ioannidis, J, Kiel, D, Forsblom, C, Isakova, T, Mckay, G, Williams, W, Sadlier, D, Mäkinen, V, Swan, E, Boright, A, Ahlqvist, E, Keller, B, Huang, H, Ahola, A, Fagerholm, E, Gordin, D, Harjutsalo, V, He, B, Heikkilä, O, Hietala, K, Kytö, J, Lahermo, P, Lehto, M, Österholm, A, Parkkonen, M, Pitkäniemi, J, Rosengård Bärlund, M, Saraheimo, M, Sarti, C, Söderlund, J, Soro Paavonen, A, Syreeni, A, Thorn, L, Tikkanen, H, Tolonen, N, Tryggvason, K, Wadén, J, Gill, G, Prior, S, Guiducci, C, Mirel, D, Taylor, A, Hosseini, M, Parving, H, Rossing, P, Tarnow, L, Ladenvall, C, Alhenc Gelas, F, Lefebvre, P, Rigalleau, V, Roussel, R, Tregouet, D, Maestroni, A, Maestroni, S, Falhammar, H, Gu, T, Möllsten, A, Cimponeriu, D, Mihai, I, Mota, M, Mota, E, Serafinceanu, C, Stavarachi, M, Hanson, R, Nelson, R, Kretzler, M, Panduru, N, Gu, H, Brismar, K, Zerbini, G, Hadjadj, S, Marre, M, Lajer, M, Waggott, D, Savage, D, Bain, S, Martin, F, Godson, C, Groop, P, Maxwell, A, Sengupta, S, Peloso, G, Ganna, A, Mora, S, Chang, H, Den Hertog, H, Donnelly, L, Fraser, R, Freitag, D, Gurdasani, D, Kaakinen, M, Kettunen, J, Li, X, Montasser, M, Petersen, A, Saxena, R, Service, S, Sidore, C, Surakka, I, Van den Herik, E, Volcik, K, Asiki, G, Been, L, Bolton, J, Bonnycastle, L, Burnett, M, Cesana, G, Elliott, P, Eyjolfsson, G, Goodarzi, M, Gravito, M, Hartikainen, A, Hung, Y, Jones, M, Kaleebu, P, Kastelein, J, Kim, E, Komulainen, P, Lin, S, Nieminen, T, Nsubuga, R, Olafsson, I, Palotie, A, Papamarkou, T, Pomilla, C, Pouta, A, Ruokonen, A, Seeley, J, Silander, K, Stančáková, A, Tiret, L, van Pelt, L, Wainwright, N, Wijmenga, C, Willemsen, G, Young, E, Bennett, F, Boomsma, D, Bovet, P, Chen, Y, Feranil, A, Freimer, N, Hsiung, C, Järvelin, M, Kesäniemi, A, Koudstaal, P, Krauss, R, Kyvik, K, Martin, N, Meneton, P, Moilanen, L, Njølstad, I, Price, J, Sanghera, D, Sheu, W, Whitfield, J, Wolffenbuttel, B, Ordovas, J, Rich, S, Johnson, L, Larson, M, Levy, D, Newton Cheh, C, O'Reilly, P, Palmas, W, Rice, K, Snider, H, Tobin, M, Verwoert, G, Pihur, V, Heath, S, Sõber, S, Arora, P, Zhang, F, Lucas, G, Milaneschi, Y, Parker, A, Fava, C, Fox, E, Go, M, Sjögren, M, Vinay, D, Alexander, M, Tabara, Y, Shaw Hawkins, S, Whincup, P, Shi, G, Seielstad, M, Sim, X, Nguyen, K, Matullo, G, Gaunt, T, Onland Moret, N, Cooper, M, Platou, C, Org, E, Hardy, R, Dahgam, S, Palmen, J, Kuznetsova, T, Uiterwaal, C, Adeyemo, A, Ludwig, B, Tomaszewski, M, Tzoulaki, I, Palmer, N, Chang, Y, Steinle, N, Grobbee, D, Morrison, A, Najjar, S, Hadley, D, Connell, J, Day, I, Lawlor, D, Lawrence, R, Ongen, H, Li, Y, Young, J, Bis, J, Chaturvedi, N, Islam, M, Jafar, T, Kulkarni, S, Grässler, J, Howard, P, Guarrera, S, Ricceri, F, Emilsson, V, Plump, A, Weder, A, Sun, Y, Scott, L, Peltonen, L, Vartiainen, E, Brand, S, Wang, T, Burton, P, Artigas, M, Dong, Y, Wang, X, Zhu, H, Rudock, M, Heckbert, S, Smith, N, Wiggins, K, Doumatey, A, Shriner, D, Veldre, G, Viigimaa, M, Kinra, S, Prabhakaran, D, Tripathy, V, Langefeld, C, Rosengren, A, Thelle, D, Corsi, A, Singleton, A, Hilton, G, Salako, T, Iwai, N, Kita, Y, Ogihara, T, Ohkubo, T, Okamura, T, Ueshima, H, Umemura, S, Eyheramendy, S, Meitinger, T, Cho, Y, Scott, J, Sehmi, J, Hedblad, B, Nilsson, P, Stanèáková, A, Raffel, L, Yao, J, Schwartz, S, Ikram, M, Longstreth W., J, Mosley, T, Seshadri, S, Shrine, N, Wain, L, Morken, M, Laitinen, J, Zitting, P, Cooper, J, van Gilst, W, Janipalli, C, Mani, K, Yajnik, C, Mattace Raso, F, Lakatta, E, Orru, M, Scuteri, A, Ala Korpela, M, Kangas, A, Soininen, P, Tukiainen, T, Würtz, P, Ong, R, Galan, P, Hercberg, S, Lathrop, M, Zelenika, D, Zhai, G, Meschia, J, Sharma, P, Terzic, J, Kumar, M, Denniff, M, Zukowska Szczechowska, E, Wagenknecht, L, Fowkes, F, Charchar, F, Rotimi, C, Bots, M, Brand, E, Talmud, P, Nyberg, F, Laan, M, van der Schouw, Y, Casas, J, Vineis, P, Ganesh, S, Wong, T, Tai, E, Morris, R, Dominiczak, A, Marmot, M, Miki, T, Chandak, G, Zhu, X, Elosua, R, Soranzo, N, Sijbrands, E, Uda, M, Vasan, R, Anderson, C, Gordon, S, Guo, Q, Henders, A, Lambert, A, Kraft, P, Kennedy, S, Macgregor, S, Missmer, S, Painter, J, Roseman, F, Treloar, S, Wallace, L, Alizadeh, B, de Boer, R, Boezen, H, van der Klauw, M, Ormel, J, Postma, D, Rosmalen, J, Slaets, J, Lagou, V, Welch, R, Wheeler, E, Rehnberg, E, Lecoeur, C, Johnson, P, Hottenga, J, Salo, P, Bielak, L, Zhao, W, Horikoshi, M, Navarro, P, Chen, H, Rybin, D, Song, K, An, P, Marullo, L, Jansen, H, Edkins, S, Varga, T, Oksa, H, Antonella, M, Kong, A, Herder, C, Antti, J, Miljkovic, I, Atalay, M, Kiess, W, Smit, J, Campbell, S, Fowkes, G, Rathmann, W, Maerz, W, Watanabe, R, de Geus, E, Toenjes, A, Peyser, P, Körner, A, Cucca, F, Balkau, B, Bouatia Naji, N, Ahmadi, K, Ainali, C, Bataille, V, Bell, J, Buil, A, Dermitzakis, E, Dimas, A, Durbin, R, Glass, D, Hassanali, N, Hedman, Å, Ingle, C, Knowles, D, Krestyaninova, M, Lowe, C, Meduri, E, di Meglio, P, Montgomery, S, Nestle, F, Nica, A, Nisbet, J, O'Rahilly, S, Parts, L, Potter, S, Sekowska, M, Shin, S, Surdulescu, G, Travers, M, Tsaprouni, L, Tsoka, S, Wilk, A, Higashio, J, Williams, R, Nato, A, Ambite, J, Manolio, T, Hindorff, L, Heiss, G, Taylor, K, Avery, C, Graff, M, Lin, D, Quibrera, M, Cochran, B, Kao, L, Umans, J, Cole, S, Maccluer, J, Person, S, Gross, M, Fornage, M, Durda, P, Jenny, N, Patsy, B, Arnold, A, Buzkova, P, Haines, J, Murdock, D, Glenn, K, Brown Gentry, K, Thornton Wells, T, Dumitrescu, L, Jeff, J, Bush, W, Mitchell, S, Goodloe, R, Boston, J, Malinowski, J, Restrepo, N, Oetjens, M, Fowke, J, Zheng, W, Spencer, K, Pendergrass, S, Wilkens, L, Park, L, Tiirikainen, M, Kolonel, L, Lim, U, Cheng, I, Wang, H, Shohet, R, Stram, D, Henderson, B, Monroe, K, Schumacher, F, Anderson, G, Carlson, C, Prentice, R, Wu, C, Carty, C, Gong, J, Rosse, S, Young, A, Haessler, J, Kocarnik, J, Lin, Y, Kuller, L, He, C, Sulem, P, Barbalic, M, Broer, L, Byrne, E, Gudbjartsson, D, Mcardle, P, Porcu, E, van Wingerden, S, Zhuang, W, Lauc, L, Broekmans, F, Burri, A, Chanock, S, Chen, C, Corre, T, Coviello, A, D'Adamo, P, Davies, G, Deary, I, Ebrahim, S, Fauser, B, Ferreli, L, Folsom, A, Hall, P, Hankinson, S, Hass, M, Heath, A, Janssens, A, Keyzer, J, Lahti, J, Lai, S, Laisk, T, Laven, J, Liu, J, Lopez, L, Louwers, Y, Marongiu, M, Klaric, I, Masciullo, C, Medland, S, Melzer, D, Newman, A, Paré, G, Peeters, P, Pop, V, Räikkönen, K, Salumets, A, Smith, J, Stacey, S, Starr, J, Stathopoulou, M, Tenesa, A, Tryggvadottir, L, Tsui, K, van Dam, R, van Gils, C, van Nierop, P, Vink, J, Voorhuis, M, Wallaschofski, H, Widen, E, Wijnands van Gent, C, Zgaga, L, Zygmunt, M, Buring, J, Crisponi, L, Demerath, E, Murray, A, Visser, J, Lunetta, K, Elks, C, Cousminer, D, Feenstra, B, Lin, P, Smith, E, Warrington, N, Alavere, H, Berenson, G, Blackburn, H, Busonero, F, Chen, W, Easton, D, Foroud, T, Geller, F, Kilpeläinen, T, Li, S, Melbye, M, Murray, J, Murray, S, Ness, A, Northstone, K, Pennell, C, Pharoah, P, Rafnar, T, Rice, J, Ring, S, Schork, N, Segrè, A, Sovio, U, Srinivasan, S, Tammesoo, M, Tyrer, J, Weedon, M, Young, L, Bierut, L, Boyd, H, Psychiatry, NCA - Neurobiology of mental health, and EMGO - Lifestyle, overweight and diabetes
Subjects: Adipose Tissue/metabolism, Male, genetic association, subcutaneous fat, Transcription, Genetic, Adipocytes, Adipogenesis, Adipose Tissue, Age Factors, Body Mass Index, Continental Population Groups, Epigenesis, Genetic, Europe, Female, Genome, Human, Humans, Insulin, Insulin Resistance, Models, Biological, Neovascularization, Physiologic, Obesity, Polymorphism, Single Nucleotide, Quantitative Trait Loci, Sex Characteristics, Waist-Hip Ratio, Body Fat Distribution, Genome-Wide Association Study, Multidisciplinary, Insulin Resistance/genetics, Genome-wide association study, Continental Population Groups/genetics, genetic analysis, heritability, gene cluster, Science::Biological sciences::Human anatomy and physiology [DRNTU], 0302 clinical medicine, high density lipoprotein cholesterol, Models, genetics [Insulin Resistance], histone modification, Age Factor, insulin receptor, 0303 health sciences, Adipocyte, Human/genetics, CARDIOGRAMplusC4D Consortium, ADIPOGENIC DIFFERENTIATION, genetic correlation, body fat, Continental Population Group, priority journal, 5 trisphosphate 3 phosphatase, GEFOS Consortium, meta analysis (topic), Science & Technology - Other Topics, ddc:500, transcription regulation, Adipogenesis/genetics, Single Nucleotide/genetics, Human, medicine.medical_specialty, Waist, phosphatidylinositol 3, European, ta3111, genetic regulation, Article, developmental biology, 03 medical and health sciences, MAGIC Investigators, transcription initiation site, SDG 3 - Good Health and Well-being, Genetic, genomics, GLYCEMIC TRAITS, genetics [Continental Population Groups], Polymorphism, GENOME-WIDE ASSOCIATION, Physiologic, genetics [Adipogenesis], Adipocytes/metabolism, Europe/ethnology, Genome, Human/genetics, Insulin/metabolism, Neovascularization, Physiologic/genetics, Obesity/genetics, Polymorphism, Single Nucleotide/genetics, Quantitative Trait Loci/genetics, Transcription, Genetic/genetics, Genetic/genetics, Adipogenesi, Science & Technology, adiponectin, [ SDV ] Life Sciences [q-bio], vasculotropin, genetics [Quantitative Trait Loci], ta1184, Racial Groups, ta1182, gene mapping, ta3121, triacylglycerol blood level, medicine.disease, Biological, major clinical study, amino acid sequence, metabolism [Insulin], Endocrinology, metabolism [Adipocytes], genetic loci, insulin, body fat, GLGC, International Endogene Consortium, metabolism [Adipose Tissue], Body mass index, HUMAN HEIGHT, Epigenesis, LifeLines Cohort Study, ReproGen Consortium, BIO/12 - BIOCHIMICA CLINICA E BIOLOGIA MOLECOLARE CLINICA, tissue level, Physiologic/genetics, [SDV]Life Sciences [q-bio], Medizin, Adipose tissue, low density lipoprotein cholesterol, PAGE Consortium, COMMON SNPS, angiogenesis, Waist–hip ratio, genetics [Obesity], MESH: Adipocytes/metabolism Adipogenesis/genetics Adipose Tissue/metabolism* Age Factors Body Fat Distribution* Body Mass Index Continental Population Groups/genetics Epigenesis, Genetic Europe/ethnology Female Genome, Human/genetics Genome-Wide Association Study* Humans Insulin/metabolism* Insulin Resistance/genetics Male Models, Biological Neovascularization, Physiologic/genetics Obesity/genetics Polymorphism, Single Nucleotide/genetics Quantitative Trait Loci/genetics* Sex Characteristics Transcription, Genetic/genetics Waist-Hip Ratio, single nucleotide polymorphism, fat, genetic variability, molecular biology, body mass index (BMI), ethnology [Europe], peroxisome proliferator activated receptor, 2. Zero hunger, Genetics, Genome, Single Nucleotide, waist circumference, insulin, phosphatidylinositol 3,4,5 trisphosphate 3 phosphatase, triacylglycerol, vasculotropin, developmental biology, gene expression, genome, numerical model, adipocyte, adipose tissue, body fat distribution, body mass, female, gene locus, gene structure, hip circumference, human, insulin resistance, lipoprotein blood level, male, obesity, protein protein interaction, sex difference, waist hip ratio, Multidisciplinary Sciences, genetics [Transcription, Genetic], genetics [Polymorphism, Single Nucleotide], ADIPOGen Consortium, genetics [Neovascularization, Physiologic], Transcription, SUSCEPTIBILITY LOCI, General Science & Technology, ICBP, 030209 endocrinology & metabolism, Biology, adipocyte, MESH : Adipocytes/metabolism Adipogenesis/genetics Adipose Tissue/metabolism* Age Factors Body Fat Distribution* Body Mass Index Continental Population Groups/genetics Epigenesis, Genetic Europe/ethnology Female Genome, Human/genetics Genome-Wide Association Study* Humans Insulin/metabolism* Insulin Resistance/genetics Male Models, Biological Neovascularization, Physiologic/genetics Obesity/genetics Polymorphism, Single Nucleotide/genetics Quantitative Trait Loci/genetics* Sex Characteristics Transcription, Genetic/genetics Waist-Hip Ratio, MESENCHYMAL STEM-CELLS, GENIE Consortium, SEXUAL-DIMORPHISM, Insulin resistance, Internal medicine, medicine, genetics [Genome, Human], ABDOMINAL ADIPOSITY, Neovascularization, 030304 developmental biology, FALSE DISCOVERY, CKDGen Consortium, Sex Characteristic, MuTHER Consortium, numerical model
Abstract: Body fat distribution is a heritable trait and a well-established predictor of adverse metabolic outcomes, independent of overall adiposity. To increase our understanding of the genetic basis of body fat distribution and its molecular links to cardiometabolic traits, here we conduct genome-wide association meta-analyses of traits related to waist and hip circumferences in up to 224,459 individuals. We identify 49 loci (33 new) associated with waist-to-hip ratio adjusted for body mass index (BMI), and an additional 19 loci newly associated with related waist and hip circumference measures (P
Published: 2015
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12. Genome-wide association study for early-onset and morbid adult obesity identifies three new risk loci in European populations.

Author: Meyre, David, Delplanque, Jérôme, Chèvre, Jean-Claude, Lecoeur, Cécile, Lobbens, Stéphane, Gallina, Sophie, Durand, Emmanuelle, Vatin, Vincent, Degraeve, Franck, Proença, Christine, Gaget, Stefan, Körner, Antje, Kovacs, Peter, Kiess, Wieland, Tichet, Jean, Marre, Michel, Hartikainen, Anna-Liisa, Horber, Fritz, Potoczna, Natascha, and Hercberg, Serge
Subjects: GENOMICS, OBESITY, ADULTS, METABOLIC disorders, EUROPEANS, DISEASE risk factors
Abstract: We analyzed genome-wide association data from 1,380 Europeans with early-onset and morbid adult obesity and 1,416 age-matched normal-weight controls. Thirty-eight markers showing strong association were further evaluated in 14,186 European subjects. In addition to FTO and MC4R, we detected significant association of obesity with three new risk loci in NPC1 (endosomal/lysosomal Niemann-Pick C1 gene, P = 2.9 × 10−7), near MAF (encoding the transcription factor c-MAF, P = 3.8 × 10−13) and near PTER (phosphotriesterase-related gene, P = 2.1 × 10−7). [ABSTRACT FROM AUTHOR]
Published: 2009
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13. Associations Between Type 2 Diabetes-Related Genetic Scores and Metabolic Traits, in Obese and Normal-Weight Youths

Author: Jacques Weill, Anna Grandone, Anita Morandi, Amélie Bonnefond, Emanuele Miraglia del Giudice, Loic Yengo, Claire Levy-Marchal, Philippe Froguel, Claudio Maffeis, Stéphane Lobbens, Morandi, Anita, Bonnefond, Amélie, Lobbens, Stéphane, Yengo, Loïc, MIRAGLIA DEL GIUDICE, Emanuele, Grandone, Anna, Lévy Marchal, Claire, Weill, Jacque, Maffeis, Claudio, and Froguel, Philippe
Subjects: 0301 basic medicine, Blood Glucose, Male, Pediatric Obesity, endocrine system diseases, Endocrinology, Diabetes and Metabolism, Clinical Biochemistry, Type 2 diabetes, Obesity - type 2 diabetes - children - genetics - metabolism, Biochemistry, Cohort Studies, 0302 clinical medicine, Endocrinology, Insulin-Secreting Cells, Insulin Secretion, Glucose homeostasis, Insulin, Child, Glucose tolerance test, education.field_of_study, medicine.diagnostic_test, Italy, France, Adult, medicine.medical_specialty, Adolescent, Population, 030209 endocrinology & metabolism, Polymorphism, Single Nucleotide, Risk Assessment, Childhood obesity, 03 medical and health sciences, Young Adult, Insulin resistance, Internal medicine, medicine, Humans, Genetic Predisposition to Disease, education, business.industry, Biochemistry (medical), nutritional and metabolic diseases, Glucose Tolerance Test, medicine.disease, Obesity, 030104 developmental biology, Cross-Sectional Studies, Diabetes Mellitus, Type 2, business, Body mass index, Genome-Wide Association Study
Abstract: Context: Young-onset obesity is strongly associated with the early development of type 2 diabetes (T2D). Genetic risk scores (GRSs) related to T2D might help predicting the early impairment of glucose homeostasis in obese youths. Objective: Our objective was to investigate the contributions of four GRSs (associated with: T2D [GRS-T2D], beta-cell function [GRS-β], insulin resistance [GRS-IR], and body mass index) to the variation of traits derived from oral glucose tolerance test (OGTT) in obese and normal-weight children and young adults. Design: This was a cross-sectional association study. Patients: A total of 1076 obese children/adolescents (age = 11.4 ± 2.8 years) and 1265 normalweight young volunteers (age = 21.1 ± 4.4 years) of European ancestry were recruited from pediatric obesity clinics and general population, respectively. Intervention: Standard OGTT was the intervention in this study. Main Outcome Measures: Associations between GRSs and OGTT-derived traits including fasting glucose and insulin, insulinogenic index, insulin sensitivity index, disposition index (DI) and associations between GRSs and pre-diabetic conditions were measured. Results: GRS-β significantly associated with fasting glucose (β = 0.019; P = 3.5 × 10-4) and DI (β =-0.031; P = 8.9 × 10-4, last quartile 18%lower than first) in obese children, and nominally associated with fasting glucose (β = 0.009; P = 0.017) and DI (β =-0.030; P = 1.1 × 10-3, last quartile 11%lower than first) in normal-weight youths. GRS-T2D showed weaker contribution to fasting glucose and DI compared to GRS-β, in both obese and normal-weight youths. GRS associated with insulin resistance and GRS associated with body mass index did not associate with any traits. None of the GRSs associated with prediabetes, which affected only 4%of participants overall. Conclusion: Single nucleotide polymorphisms identified by genome-wide association studies to influence beta-cell function were associated with fasting glucose and indices of insulin secretion in youths, especially in obese children. (J Clin Endocrinol Metab 101: 4244-4250, 2016).
Published: 2016

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13 results on '"Lobbens, Stéphane"'

1. The expression of genes in top obesity-associated loci is enriched in insula and substantia nigra brain regions involved in addiction and reward.

2. Increased Hepatic PDGF-AA Signaling Mediates Liver Insulin Resistance in Obesity-Associated Type 2 Diabetes.

3. Genetic studies of body mass index yield new insights for obesity biology.

4. Beneficial metabolic effects of rapamycin are associated with enhanced regulatory cells in diet-induced obese mice.

5. Common variants near BDNF and SH2B1 show nominal evidence of association with snacking behavior in European populations.

6. Common variants in FTO, MC4R, TMEM18, PRL, AIF1, and PCSK1 show evidence of association with adult obesity in the Greek population.

7. Estimation of newborn risk for child or adolescent obesity: lessons from longitudinal birth cohorts.

8. Early detrimental metabolic outcomes of rs17300539-A allele of ADIPOQ gene despite higher adiponectinemia.

9. ACDC/adiponectin polymorphisms are associated with severe childhood and adult obesity.

10. Implication of the Pro12Ala polymorphism of the PPAR-gamma 2 gene in type 2 diabetes and obesity in the French population.

11. New genetic loci link adipose and insulin biology to body fat distribution

12. Genome-wide association study for early-onset and morbid adult obesity identifies three new risk loci in European populations.

13. Associations Between Type 2 Diabetes-Related Genetic Scores and Metabolic Traits, in Obese and Normal-Weight Youths

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13 results on '"Lobbens, Stéphane"'

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