Meta-Analysis of the INSIG2 Association with Obesity Including 74,345 Individuals: Does Heterogeneity of Estimates Relate to Study Design?

التفاصيل البيبلوغرافية
العنوان: Meta-Analysis of the INSIG2 Association with Obesity Including 74,345 Individuals: Does Heterogeneity of Estimates Relate to Study Design?
المؤلفون: Ruth J. F. Loos, Stefan Schreiber, Claude Bouchard, Unnur Thorsteinsdottir, Barbara Kollerits, Karani Santhanakrishnan Vimaleswaran, Shantanu Sengupta, Bernhard Paulweber, Rossella Sorice, Robert A. Hegele, Margret R. Hoehe, Thuy Trang Nguyen, Lu Qi, Gudmar Thorleifsson, Tuomo Rankinen, Cecilia M. Lindgren, Philippe Froguel, James C. Engert, Andreas Luchner, Karen L. Mohlke, Dieter Rosskopf, Almut Nebel, Francesc Francés, Henry Völzke, Steve E. Humphries, Helen N. Lyon, Vincent Mooser, Nan M. Laird, Steven C. Hunt, Jitender Kumar, Florian Kronenberg, Salim Yusuf, Thomas Illig, M. R. Järvelin, Christoph Lange, Anke Hinney, Christian Dina, Sonia S. Anand, Jackie A. Cooper, Birgit Langer, Iris M. Heid, Nicholas J. Wareham, Vera Adamkova, Kristin G. Ardlie, Louis Pérusse, Johannes Hebebrand, Cornelia Huth, Dolores Corella, Anita Suk, Peter Bjerregaard, Heike Biebermann, Eva Fisher, Dawn M. Waterworth, Marika Kaakinen, Shengxu Li, Leslie A. Lange, David Meyre, Jaroslav A. Hubacek, H-Erich Wichmann, Marina Ciullo, Heiko Krude, Mark I. McCarthy, Joel N. Hirschhorn, Frank B. Hu, Heiner Boeing
المساهمون: Medical Research Council (MRC)
المصدر: PLoS Genetics
PLoS Genetics, Vol 5, Iss 10, p e1000694 (2009)
Robarts Vascular Research Publications
PLoS Genet. 5:e1000694 (2009)
Heid, I M, Huth, C, Loos, R J F, Kronenberg, F, Adamkova, V, Anand, S S, Ardlie, K, Biebermann, H, Bjerregaard, P, Boeing, H, Bouchard, C, Ciullo, M, Cooper, J A, Corella, D, Dina, C, Engert, J C, Fisher, E, Francès, F, Froguel, P, Hebebrand, J, Hegele, R A, Hinney, A, Hoehe, M R, Hu, F B, Hubacek, J A, Humphries, S E, Hunt, S C, Illig, T, Järvelin, M-R, Kaakinen, M, Kollerits, B, Krude, H, Kumar, J, Lange, L A, Langer, B, Li, S, Luchner, A, Lyon, H N, Meyre, D, Mohlke, K L, Mooser, V, Nebel, A, Nguyen, T T, Paulweber, B, Perusse, L, Qi, L, Rankinen, T, Rosskopf, D, Schreiber, S, Sengupta, S, Sorice, R, Suk, A, Thorleifsson, G, Thorsteinsdottir, U, Völzke, H, Vimaleswaran, K S, Wareham, N J, Waterworth, D, Yusuf, S, Lindgren, C, McCarthy, M I, Lange, C, Hirschhorn, J N, Laird, N & Wichmann, H-E 2009, ' Meta-analysis of the INSIG2 association with obesity including 74,345 individuals: does heterogeneity of estimates relate to study design? ', PLOS Genetics, vol. 5, no. 10, pp. e1000694 . https://doi.org/10.1371/journal.pgen.1000694Test
PLOS genetics 5 (2009). doi:10.1371/journal.pgen.1000694
info:cnr-pdr/source/autori:Heid I.M.; Huth C.; Loos R.J.F.; Kronenberg F.; Adamkova V.; Anand S.S.; Ardlie K.; Biebermann H.; Bjerregaard P.; Boeing H.; Bouchard C.; Ciullo M.; Cooper J.A.; Corella D.; Dina C.; Engert J.C.; Fisher E.; Frances F.; Froguel P.; Hebebrand J.; Hegele R.A.; Hinney A.; Hoehe M.R.; Hu F.B.; Hubacek J.A.; Humphries S.E.; Hunt S.C.; Illig T.; Jarvelin M.-R.; Kaakinen M.; Kollerits B.; Krude H.; Kumar J.; Lange L.A.; Langer B.; Li S.; Luchner A.; Lyon H.N.; Meyre D.; Mohlke K.L.; Mooser V.; Nebel A.; Nguyen T.T.; Paulweber B.; Perusse L.; Qi L.; Rankinen T.; Rosskopf D.; Schreiber S.; Sengupta S.; Sorice R.; Suk A.; Thorleifsson G.; Thorsteinsdottir U.; Volzke H.; Vimaleswaran K.S.; Wareham N.J.; Waterworth D.; Yusuf S.; Lindgren C.; McCarthy M.I.; Lange C.; Hirschhorn J.N.; Laird N.; Wichmann H.-E./titolo:Meta-Analysis of the INSIG2 Association with Obesity Including 74,345 Individuals: Does Heterogeneity of Estimates Relate to Study Design?/doi:10.1371%2Fjournal.pgen.1000694/rivista:PLOS genetics/anno:2009/pagina_da:/pagina_a:/intervallo_pagine:/volume:5
سنة النشر: 2009
مصطلحات موضوعية: Male, Cancer Research, obesity, LIVER, Medizin, PROTEIN, Bioinformatics, 0302 clinical medicine, INSIG2, GENETICS & HEREDITY, POPULATION, Genetics (clinical), METABOLIC SYNDROME, 0303 health sciences, education.field_of_study, Intracellular Signaling Peptides and Proteins, UPSTREAM, Middle Aged, INSULIN, Research Design, Meta-analysis, Female, Life Sciences & Biomedicine, Medical Genetics, Research Article, EXPRESSION, Adult, Adolescent, lcsh:QH426-470, Population, Public Health and Epidemiology, COMMON GENETIC VARIANT, Biology, Childhood obesity, 03 medical and health sciences, Young Adult, Genetics, medicine, Biochemical Phenomena, Metabolism, and Nutrition, Humans, Obesity, education, Molecular Biology, Ecology, Evolution, Behavior and Systematics, 030304 developmental biology, 0604 Genetics, Science & Technology, Polymorphism, Genetic, Membrane Proteins, Odds ratio, BODY-MASS, medicine.disease, POLYMORPHISM, lcsh:Genetics, Genetics, Population, Metabolic syndrome, Body mass index, 030217 neurology & neurosurgery, Developmental Biology, Demography, Genome-Wide Association Study
الوصف: The INSIG2 rs7566605 polymorphism was identified for obesity (BMI≥30 kg/m2) in one of the first genome-wide association studies, but replications were inconsistent. We collected statistics from 34 studies (n = 74,345), including general population (GP) studies, population-based studies with subjects selected for conditions related to a better health status (‘healthy population’, HP), and obesity studies (OB). We tested five hypotheses to explore potential sources of heterogeneity. The meta-analysis of 27 studies on Caucasian adults (n = 66,213) combining the different study designs did not support overall association of the CC-genotype with obesity, yielding an odds ratio (OR) of 1.05 (p-value = 0.27). The I2 measure of 41% (p-value = 0.015) indicated between-study heterogeneity. Restricting to GP studies resulted in a declined I2 measure of 11% (p-value = 0.33) and an OR of 1.10 (p-value = 0.015). Regarding the five hypotheses, our data showed (a) some difference between GP and HP studies (p-value = 0.012) and (b) an association in extreme comparisons (BMI≥32.5, 35.0, 37.5, 40.0 kg/m2 versus BMI
Author Summary A polymorphism of the INSIG2 gene was identified as being associated with obesity in one of the first genome-wide association studies. However, this association has since then been highly debated upon inconsistent subsequent reports. We collected association information from 34 studies including a total of 74,000 participants. In a meta-analysis of the 27 studies including 66,000 Caucasian adults, we found no overall association of this polymorphism rs7566605 with obesity, comparing subjects with a body-mass-index (BMI)≥30 kg/m2 with normal BMI subjects (BMI
وصف الملف: application/pdf
اللغة: English
تدمد: 1553-7404
DOI: 10.1371/journal.pgen.1000694
الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b1ff17e6fd079980b5b9527937fc7372Test
حقوق: OPEN
رقم الانضمام: edsair.doi.dedup.....b1ff17e6fd079980b5b9527937fc7372
قاعدة البيانات: OpenAIRE
الوصف
تدمد:15537404
DOI:10.1371/journal.pgen.1000694