Research summary

Vaso

I am a member of McCarthy's group and my current research is focused on the identification of susceptibility genes for type 2 diabetes and related quantitative traits by genome-wide association studies. My work is based at the Wellcome Trust Centre for Human Genetics and OCDEM. The development of several consortia and collaborations, as demonstrated in type 2 diabetes, is very helpful in achieving large sample sizes and a great increase in statistical power, which can speed up the identification of susceptibility variants. I am a member of ENGAGE and MAGIC (Meta-Analyses of Glucose and Insulin-related traits Consortium) consortia.

In the past, I performed genome-wide association analyses for other quantitative traits, such as liver enzymes and creatinine and I was involved in different projects focused on the genetics of obesity.

Identification of new genetic loci may lead to better understanding of common disease and related traits, which may eventually lead to the development of novel therapeutic targets.

 

Publication List

 

Chambers JC, Zhang W, Lord GM, van der Harst P, Lawlor DA, Sehmi JS, Gale DP, Wass MN, Ahmadi KR, Bakker SJ, Beckmann J, Bilo HJ, Bochud M, Brown MJ, Caulfield MJ, Connell JM, Cook HT, Cotlarciuc I, Smith GD, de Silva R, Deng G, Devuyst O, Dikkeschei LD, Dimkovic N, Dockrell M, Dominiczak A, Ebrahim S, Eggermann T, Farrall M, Ferrucci L, Floege J, Forouhi NG, Gansevoort RT, Han X, Hedblad B, van der Heide JJ, Hepkema BG, Hernandez-Fuentes M, Hypponen E, Johnson T, de Jong PE, Kleefstra N, Lagou V, Lapsley M, Li Y, Loos RJ, Luan J, Luttropp K, Maréchal C, Melander O, Munroe PB, Nordfors L, Parsa A, Peltonen L, Penninx BW, Perucha E, Pouta A, Prokopenko I, Roderick PJ, Ruokonen A, Samani NJ, Sanna S, Schalling M, Schlessinger D, Schlieper G, Seelen MA, Shuldiner AR, Sjögren M, Smit JH, Snieder H, Soranzo N, Spector TD, Stenvinkel P, Sternberg MJ, Swaminathan R, Tanaka T, Ubink-Veltmaat LJ, Uda M, Vollenweider P, Wallace C, Waterworth D, Zerres K, Waeber G, Wareham NJ, Maxwell PH, McCarthy MI, Jarvelin MR, Mooser V, Abecasis GR, Lightstone L, Scott J, Navis G, Elliott P, Kooner JS:Genetic loci influencing kidney function and chronic kidney disease in man. Nature Genetics (In press) 2010 PMID: 20383145.

 

Liu G, Zhu H, Lagou V, Gutin B,  Stallmann-Jorgensen IS,  Treiber FA, Dong Y, Snieder H: FTO variant rs9939609 is associated with adiposity but not with energy intake or expenditure in European- and African- American youth. BMC Medical Genetics 11(1):57, 2010 PMID: 20377915.

 

Liu G, Zhu H, Lagou V, Gutin B, Barbeau P, Treiber FA, Dong Y, Snieder H: Common variants near MC4R are associated with general and visceral adiposity in European- and African-American Youth. Journal of Pediatrics 156(4):598-604, 2010 PMID: 20070976.

 

Snieder H, Wang X, Lagou V, Penninx BW, Riese H, Hartman C: Role of gene-stress interactions in gene finding studies: A lifecourse approach. Understanding how gene-environment interactions work to predict disorder. Novartis Found Symp. 293:71-82, 2008 PMID: 18972746

 

Kourbala G, Pitsiladis P, Lagou V, Grammatikaki E, Moran CN, Kondaki K, Roma-Giannikou E, Manios Y: Interaction effect between total energy and macronutrient intakes and ACE I/D polymorphism on adiposity-related phenotypes in toddlers and preschoolers: The GENESIS study. British Journal of Nutrition 100(6): 1333-1340, 2008 PMID: 18479585.

 

Lagou V, Scott RA, Manios Y, Joshua Chen TL, Wang C, Grammatikaki E, Kortsalioudaki C, Liarigovinos T, Moschonis G, Pitsiladis YP: Impact of peroxisome proliferator-activated receptor γ and δ on adiposity in toddlers and preschoolers in the GENESIS study. Obesity 16(4): 913-8, 2008 PMID: 18379566.

 

Lagou V, Manios Y, Moran CN, Wilson RH, Bailey MES, Grammatikaki E, Oikonomou E, Ioannou E, Moschonis G, Pitsiladis YP: Developmental changes in adiposity in toddlers and preschoolers in the GENESIS study and associations with the ACE I/D polymorphism. International Journal of Obesity 31(7): 1052-60, 2007 PMID: 17406273.

 

 

 

Research Area(s)

Genetics of type 2 diabetes

Quantitative phenotypes

 

Keywords

Complex disease/traits, genome-wide association analysis, imputation, meta-analysis