👤 D Arveiler

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2
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Also published as: Dominique Arveiler
articles
Xavier Hermant, Charlotte Delay, Amandine Flaig +14 more · 2018 · Journal of clinical lipidology · Elsevier · added 2026-04-24
Blood polyunsaturated fatty acid (PUFA) levels are determined by diet and by endogenous synthesis via Δ5- and Δ6-desaturases (encoded by the FADS1 and FADS2 genes, respectively). Genome-wide associati Show more
Blood polyunsaturated fatty acid (PUFA) levels are determined by diet and by endogenous synthesis via Δ5- and Δ6-desaturases (encoded by the FADS1 and FADS2 genes, respectively). Genome-wide association studies have reported associations between FADS1-FADS2 polymorphisms and the plasma concentrations of PUFAs, HDL- and LDL-cholesterol, and triglycerides. However, much remains unknown regarding the molecular mechanisms explaining how variants affect the function of FADS1-FADS2 genes. Here, we sought to identify the functional variant(s) within the FADS gene cluster. To address this question, we (1) genotyped individuals (n = 540) for the rs174547 polymorphism to confirm associations with PUFA levels used as surrogate estimates of desaturase activities and (2) examined the functionality of variants in linkage disequilibrium with rs174547 using bioinformatics and luciferase reporter assays. The rs174547 minor allele was associated with higher erythrocyte levels of dihomo-γ-linolenic acid and lower levels of arachidonic acid, suggesting a lower Δ5-desaturase activity. In silico analyses suggested that rs174545 and rs174546, in perfect linkage disequilibrium with rs174547, might alter miRNA binding sites in the FADS1 3'UTR. In HuH7 and HepG2 cells transfected with FADS1 3'UTR luciferase vectors, the haplotype constructs bearing the rs174546T minor allele showed 30% less luciferase activity. This relative decrease reached 60% in the presence of miR-149-5p and was partly abolished by cotransfection with an miR-149-5p inhibitor. This study identifies FADS1 rs174546 as a functional variant that may explain the associations between FADS1-FADS2 polymorphisms and lipid-related phenotypes. Show less
no PDF DOI: 10.1016/j.jacl.2018.07.012
FADS1
Julie Dumont, Louisa Goumidi, Benjamin Grenier-Boley +11 more · 2018 · Clinical nutrition (Edinburgh, Scotland) · Elsevier · added 2026-04-24
Blood levels of polyunsaturated fatty acids (PUFAs) are under control of endogenous synthesis via Δ5- and Δ6-desaturases, encoded by the FADS1 and FADS2 genes, respectively and of diet. Genome-wide as Show more
Blood levels of polyunsaturated fatty acids (PUFAs) are under control of endogenous synthesis via Δ5- and Δ6-desaturases, encoded by the FADS1 and FADS2 genes, respectively and of diet. Genome-wide associations studies (GWAS) reported associations between polymorphisms in FADS1-FADS2 and variations in plasma concentrations of PUFAs, HDL- and LDL-cholesterol and triglycerides. However, it is not established whether dietary PUFAs intake modulates these associations. We assessed whether dietary linoleic acid (LA) or α-linolenic acid (ALA) modulate the association between the FADS1 rs174547 polymorphism (a GWAS hit) and lipid and anthropometric phenotypes. Dietary intakes of LA and ALA, FADS1 rs174547 genotypes, lipid and anthropometric variables were determined in three French population-based samples (n = 3069). These samples were stratified according to the median dietary LA (<9.5 and ≥9.5 g/d) and ALA (<0.80 and ≥0.80 g/d) intakes. The meta-analysis was performed using a random-effect. Our meta-analysis confirmed the association between rs174547 and plasma lipid levels and revealed an association with waist circumference and body mass index. These associations were not modified by dietary ALA intake (all p-interaction > 0.05). In contrast, the associations with HDL-cholesterol levels, waist circumference and BMI were modulated by the dietary intake of LA (p interaction < 0.05). In high LA consumers only, the rs174547 minor allele was significantly associated with lower HDL-cholesterol levels (β = -0.05 mmol/L, p = 0.0002). Furthermore, each copy of the rs174547 minor allele was associated with a 1.58 cm lower waist circumference (p = 0.0005) and a 0.46 kg m The present study suggests that dietary LA intake may modulate the association between the FADS gene variants and HDL-cholesterol concentration, waist circumference and BMI. These gene-nutrient interactions, if confirmed, suggest that subjects carrying the rs174547 minor allele might benefit from low dietary LA intakes. Show less
no PDF DOI: 10.1016/j.clnu.2017.07.012
FADS1
Dajiang J Liu, Gina M Peloso, Haojie Yu +229 more · 2017 · Nature genetics · Nature · added 2026-04-24
Dajiang J Liu, Gina M Peloso, Haojie Yu, Adam S Butterworth, Xiao Wang, Anubha Mahajan, Danish Saleheen, Connor Emdin, Dewan Alam, Alexessander Couto Alves, Philippe Amouyel, Emanuele Di Angelantonio, Dominique Arveiler, Themistocles L Assimes, Paul L Auer, Usman Baber, Christie M Ballantyne, Lia E Bang, Marianne Benn, Joshua C Bis, Michael Boehnke, Eric Boerwinkle, Jette Bork-Jensen, Erwin P Bottinger, Ivan Brandslund, Morris Brown, Fabio Busonero, Mark J Caulfield, John C Chambers, Daniel I Chasman, Y Eugene Chen, Yii-der Ida Chen, Rajiv Chowdhury, Cramer Christensen, Audrey Y Chu, John M Connell, Francesco Cucca, L Adrienne Cupples, Scott M Damrauer, Gail Davies, Ian J Deary, George Dedoussis, Joshua C Denny, Anna Dominiczak, Marie-Pierre Dubé, Tapani Ebeling, Gudny Eiriksdottir, Tõnu Esko, Aliki-Eleni Farmaki, Mary F Feitosa, Marco Ferrario, Jean Ferrieres, Ian Ford, Myriam Fornage, Paul W Franks, Timothy M Frayling, Ruth Frikke-Schmidt, Lars G Fritsche, Philippe Frossard, Valentin Fuster, Santhi K Ganesh, Wei Gao, Melissa E Garcia, Christian Gieger, Franco Giulianini, Mark O Goodarzi, Harald Grallert, Niels Grarup, Leif Groop, Megan L Grove, Vilmundur Gudnason, Torben Hansen, Tamara B Harris, Caroline Hayward, Joel N Hirschhorn, Oddgeir L Holmen, Jennifer Huffman, Yong Huo, Kristian Hveem, Sehrish Jabeen, Anne U Jackson, Johanna Jakobsdottir, Marjo-Riitta Jarvelin, Gorm B Jensen, Marit E Jørgensen, J Wouter Jukema, Johanne M Justesen, Pia R Kamstrup, Stavroula Kanoni, Fredrik Karpe, Frank Kee, Amit V Khera, Derek Klarin, Heikki A Koistinen, Jaspal S Kooner, Charles Kooperberg, Kari Kuulasmaa, Johanna Kuusisto, Markku Laakso, Timo Lakka, Claudia Langenberg, Anne Langsted, Lenore J Launer, Torsten Lauritzen, David C M Liewald, Li An Lin, Allan Linneberg, Ruth J F Loos, Yingchang Lu, Xiangfeng Lu, Reedik Mägi, Anders Malarstig, Ani Manichaikul, Alisa K Manning, Pekka Mäntyselkä, Eirini Marouli, Nicholas G D Masca, Andrea Maschio, James B Meigs, Olle Melander, Andres Metspalu, Andrew P Morris, Alanna C Morrison, Antonella Mulas, Martina Müller-Nurasyid, Patricia B Munroe, Matt J Neville, Jonas B Nielsen, Sune F Nielsen, Børge G Nordestgaard, Jose M Ordovas, Roxana Mehran, Christoper J O'Donnell, Marju Orho-Melander, Cliona M Molony, Pieter Muntendam, Sandosh Padmanabhan, Colin N A Palmer, Dorota Pasko, Aniruddh P Patel, Oluf Pedersen, Markus Perola, Annette Peters, Charlotta Pisinger, Giorgio Pistis, Ozren Polasek, Neil Poulter, Bruce M Psaty, Daniel J Rader, Asif Rasheed, Rainer Rauramaa, Dermot F Reilly, Alex P Reiner, Frida Renström, Stephen S Rich, Paul M Ridker, John D Rioux, Neil R Robertson, Dan M Roden, Jerome I Rotter, Igor Rudan, Veikko Salomaa, Nilesh J Samani, Serena Sanna, Naveed Sattar, Ellen M Schmidt, Robert A Scott, Peter Sever, Raquel S Sevilla, Christian M Shaffer, Xueling Sim, Suthesh Sivapalaratnam, Kerrin S Small, Albert V Smith, Blair H Smith, Sangeetha Somayajula, Lorraine Southam, Timothy D Spector, Elizabeth K Speliotes, John M Starr, Kathleen E Stirrups, Nathan Stitziel, Konstantin Strauch, Heather M Stringham, Praveen Surendran, Hayato Tada, Alan R Tall, Hua Tang, Jean-Claude Tardif, Kent D Taylor, Stella Trompet, Philip S Tsao, Jaakko Tuomilehto, Anne Tybjaerg-Hansen, Natalie R van Zuydam, Anette Varbo, Tibor V Varga, Jarmo Virtamo, Melanie Waldenberger, Nan Wang, Nick J Wareham, Helen R Warren, Peter E Weeke, Joshua Weinstock, Jennifer Wessel, James G Wilson, Peter W F Wilson, Ming Xu, Hanieh Yaghootkar, Robin Young, Eleftheria Zeggini, He Zhang, Neil S Zheng, Weihua Zhang, Yan Zhang, Wei Zhou, Yanhua Zhou, Magdalena Zoledziewska, Charge Diabetes Working Group, EPIC-InterAct Consortium, EPIC-CVD Consortium, GOLD Consortium, VA Million Veteran Program, Joanna M M Howson, John Danesh, Mark I McCarthy, Chad A Cowan, Goncalo Abecasis, Panos Deloukas, Kiran Musunuru, Cristen J Willer, Sekar Kathiresan Show less
We screened variants on an exome-focused genotyping array in >300,000 participants (replication in >280,000 participants) and identified 444 independent variants in 250 loci significantly associated w Show more
We screened variants on an exome-focused genotyping array in >300,000 participants (replication in >280,000 participants) and identified 444 independent variants in 250 loci significantly associated with total cholesterol (TC), high-density-lipoprotein cholesterol (HDL-C), low-density-lipoprotein cholesterol (LDL-C), and/or triglycerides (TG). At two loci (JAK2 and A1CF), experimental analysis in mice showed lipid changes consistent with the human data. We also found that: (i) beta-thalassemia trait carriers displayed lower TC and were protected from coronary artery disease (CAD); (ii) excluding the CETP locus, there was not a predictable relationship between plasma HDL-C and risk for age-related macular degeneration; (iii) only some mechanisms of lowering LDL-C appeared to increase risk for type 2 diabetes (T2D); and (iv) TG-lowering alleles involved in hepatic production of TG-rich lipoproteins (TM6SF2 and PNPLA3) tracked with higher liver fat, higher risk for T2D, and lower risk for CAD, whereas TG-lowering alleles involved in peripheral lipolysis (LPL and ANGPTL4) had no effect on liver fat but decreased risks for both T2D and CAD. Show less
📄 PDF DOI: 10.1038/ng.3977
ANGPTL4
Jean Dallongeville, Dominique Cottel, Aline Wagner +7 more · 2008 · BMC medical genetics · BioMed Central · added 2026-04-24
The goal of the present study was to assess the effect of genetic variability at the APOA5/A4/C3/A1 cluster locus on the risk of metabolic syndrome. The APOA5 Ser19Trp, APOA5 -12,238T>C, APOA4 Thr347S Show more
The goal of the present study was to assess the effect of genetic variability at the APOA5/A4/C3/A1 cluster locus on the risk of metabolic syndrome. The APOA5 Ser19Trp, APOA5 -12,238T>C, APOA4 Thr347Ser, APOC3 -482C>T and APOC3 3238C>G (SstI) polymorphisms were analyzed in a representative population sample of 3138 men and women from France, including 932 individuals with metabolic syndrome and 2206 without metabolic syndrome, as defined by the NCEP criteria. Compared with homozygotes for the common allele, the odds ratio (OR) [95% CI] for metabolic syndrome was 1.30 [1.03-1.66] (p = 0.03) for APOA5 Trp19 carriers, 0.81 [0.69-0.95] (p = 0.01) for APOA5 -12,238C carriers and 0.84 [0.70-0.99] (p = 0.04) for APOA4 Ser347 carriers. Adjustment for plasma triglycerides, (but not for waist girth, HDL, blood pressure or glycemia - the other components of metabolic syndrome) abolished these associations and suggests that triglyceride levels explain the association with metabolic syndrome. There was no association between the APOC3 -482C>T or APOC3 3238C>G polymorphisms and metabolic syndrome. The decreased risk of metabolic syndrome observed in APOA5 -12,238C and APOA4 Ser347 carriers merely reflected the fact that the APOA5 Trp19 allele was in negative linkage disequilibrium with the common alleles of APOA5 -12,238T>C and APOA4 Thr347Ser polymorphisms. The APOA5 Trp19 allele increased susceptibility to metabolic syndrome via its impact on plasma triglyceride levels. Show less
📄 PDF DOI: 10.1186/1471-2350-9-84
APOA4
Jean Dallongeville, Anne-Gaëlle Delcroix, Aline Wagner +7 more · 2005 · Obesity research · Nature · added 2026-04-24
The goal of this study was to assess the association between the APOA4 Thr(347)-->Ser(347) polymorphism and BMI and obesity. Men and women (n = 3320), randomly recruited in three independent populatio Show more
The goal of this study was to assess the association between the APOA4 Thr(347)-->Ser(347) polymorphism and BMI and obesity. Men and women (n = 3320), randomly recruited in three independent population surveys from the north, east, and south of France, were genotyped for the APOA4 Thr(347)-->Ser(347) polymorphism. There were 1327 overweight (825 men, 502 women) and 611 obese (313 men, 298 women) subjects. The prevalences of subjects carrying at least one Ser(347) allele (*/Ser(347)) were 36.5%, 33.8%, and 34.3% in controls, overweight, and obese subjects, respectively (not significant), and those of the Ser(347)/Ser(347) genotype were 4.5%, 3.0%, and 2.2%, respectively (not significant). In both men and women, mean BMI and body weight were not significantly different among APOA4 genotypes. There was no evidence of heterogeneity among centers, smoking status, alcohol intake, physical activity, and educational level categories. In men, mean waist girth was lower in Ser(347)/Ser(347) (92.2 +/- 9.4 cm) than in Thr(347) carriers (95.9 +/- 10.9 cm; p = 0.01), and plasma triglycerides levels were lower in Ser(347) (1.41 +/- 1.04 mM) than in Thr(347)/Thr(347) carriers (1.55 +/- 1.23 mM; p = 0.01). These results suggest that the APOA4 347Ser allele is not a major risk factor for obesity or overweight. Show less
no PDF DOI: 10.1038/oby.2005.264
APOA4
F Kee, P Amouyel, F Fumeron +7 more · 1999 · Atherosclerosis · Elsevier · added 2026-04-24
The goal of the present study was to compare the allele frequency of four polymorphisms at the apo A-I C-III A-IV cluster gene locus-ApoA-I: XmnI and PstI; ApoC-III: SstI; ApoA-IV: XbaI-between male p Show more
The goal of the present study was to compare the allele frequency of four polymorphisms at the apo A-I C-III A-IV cluster gene locus-ApoA-I: XmnI and PstI; ApoC-III: SstI; ApoA-IV: XbaI-between male patients who had had a myocardial infarction (n= 614) and matched controls (n = 764). The association with a number of lipid lipoprotein, apolipoprotein and lipoprotein particle variables was also assessed. Patients and subjects were recruited in Belfast, Lille, Strasbourg and Toulouse in the framework of the ECTIM study. In the control group, the frequencies of the different polymorphic alleles were homogeneous among recruitment centres suggesting the absence of any European North to South gradient for these cluster polymorphisms. There was no evidence for a significant difference in allelic distribution between cases and controls suggesting that apo A-I, C-III, A-IV gene cluster polymorphisms do not explain MI survival in this sample of European men. There was no statistically significant association between apo A-I C-III A-IV cluster gene polymorphisms and lipid, lipoprotein, apolipoprotein, and lipoprotein particle levels. In conclusion, in the ECTIM study, the apo A-I, C-III, A-IV gene cluster polymorphism is associated with neither circulating plasma variables nor MI survival. Show less
no PDF DOI: 10.1016/s0021-9150(99)00066-0
APOA4