Literature DB >> 23032255

Genetic variation in metabolic phenotypes: study designs and applications.

Karsten Suhre1, Christian Gieger.   

Abstract

Many complex disorders are linked to metabolic phenotypes. Revealing genetic influences on metabolic phenotypes is key to a systems-wide understanding of their interactions with environmental and lifestyle factors in their aetiology, and we can now explore the genetics of large panels of metabolic traits by coupling genome-wide association studies and metabolomics. These genome-wide association studies are beginning to unravel the genetic contribution to human metabolic individuality and to demonstrate its relevance for biomedical and pharmaceutical research. Adopting the most appropriate study designs and analytical tools is paramount to further refining the genotype-phenotype map and eventually identifying the part played by genetic influences on metabolic phenotypes. We discuss such design considerations and applications in this Review.

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Year:  2012        PMID: 23032255     DOI: 10.1038/nrg3314

Source DB:  PubMed          Journal:  Nat Rev Genet        ISSN: 1471-0056            Impact factor:   53.242


  55 in total

1.  A multivariate test of association.

Authors:  Manuel A R Ferreira; Shaun M Purcell
Journal:  Bioinformatics       Date:  2008-11-19       Impact factor: 6.937

2.  Dietary n-3 and n-6 polyunsaturated fatty acid intake interacts with FADS1 genetic variation to affect total and HDL-cholesterol concentrations in the Doetinchem Cohort Study.

Authors:  Yingchang Lu; Edith Jm Feskens; Martijn Et Dollé; Sandra Imholz; Wm Monique Verschuren; Michael Müller; Jolanda Ma Boer
Journal:  Am J Clin Nutr       Date:  2010-05-19       Impact factor: 7.045

3.  A genome-wide association study of metabolic traits in human urine.

Authors:  Karsten Suhre; Henri Wallaschofski; Johannes Raffler; Nele Friedrich; Robin Haring; Kathrin Michael; Christina Wasner; Alexander Krebs; Florian Kronenberg; David Chang; Christa Meisinger; H-Erich Wichmann; Wolfgang Hoffmann; Henry Völzke; Uwe Völker; Alexander Teumer; Reiner Biffar; Thomas Kocher; Stephan B Felix; Thomas Illig; Heyo K Kroemer; Christian Gieger; Werner Römisch-Margl; Matthias Nauck
Journal:  Nat Genet       Date:  2011-05-15       Impact factor: 38.330

4.  Metabolic footprint of diabetes: a multiplatform metabolomics study in an epidemiological setting.

Authors:  Karsten Suhre; Christa Meisinger; Angela Döring; Elisabeth Altmaier; Petra Belcredi; Christian Gieger; David Chang; Michael V Milburn; Walter E Gall; Klaus M Weinberger; Hans-Werner Mewes; Martin Hrabé de Angelis; H-Erich Wichmann; Florian Kronenberg; Jerzy Adamski; Thomas Illig
Journal:  PLoS One       Date:  2010-11-11       Impact factor: 3.240

5.  Six new loci associated with blood low-density lipoprotein cholesterol, high-density lipoprotein cholesterol or triglycerides in humans.

Authors:  Sekar Kathiresan; Olle Melander; Candace Guiducci; Aarti Surti; Noël P Burtt; Mark J Rieder; Gregory M Cooper; Charlotta Roos; Benjamin F Voight; Aki S Havulinna; Björn Wahlstrand; Thomas Hedner; Dolores Corella; E Shyong Tai; Jose M Ordovas; Göran Berglund; Erkki Vartiainen; Pekka Jousilahti; Bo Hedblad; Marja-Riitta Taskinen; Christopher Newton-Cheh; Veikko Salomaa; Leena Peltonen; Leif Groop; David M Altshuler; Marju Orho-Melander
Journal:  Nat Genet       Date:  2008-01-13       Impact factor: 38.330

6.  Differences between human plasma and serum metabolite profiles.

Authors:  Zhonghao Yu; Gabi Kastenmüller; Ying He; Petra Belcredi; Gabriele Möller; Cornelia Prehn; Joaquim Mendes; Simone Wahl; Werner Roemisch-Margl; Uta Ceglarek; Alexey Polonikov; Norbert Dahmen; Holger Prokisch; Lu Xie; Yixue Li; H-Erich Wichmann; Annette Peters; Florian Kronenberg; Karsten Suhre; Jerzy Adamski; Thomas Illig; Rui Wang-Sattler
Journal:  PLoS One       Date:  2011-07-08       Impact factor: 3.240

7.  Human metabolic profiles are stably controlled by genetic and environmental variation.

Authors:  George Nicholson; Mattias Rantalainen; Anthony D Maher; Jia V Li; Daniel Malmodin; Kourosh R Ahmadi; Johan H Faber; Ingileif B Hallgrímsdóttir; Amy Barrett; Henrik Toft; Maria Krestyaninova; Juris Viksna; Sudeshna Guha Neogi; Marc-Emmanuel Dumas; Ugis Sarkans; Bernard W Silverman; Peter Donnelly; Jeremy K Nicholson; Maxine Allen; Krina T Zondervan; John C Lindon; Tim D Spector; Mark I McCarthy; Elaine Holmes; Dorrit Baunsgaard; Chris C Holmes
Journal:  Mol Syst Biol       Date:  2011-08-30       Impact factor: 11.429

8.  Metabonomic, transcriptomic, and genomic variation of a population cohort.

Authors:  Michael Inouye; Johannes Kettunen; Pasi Soininen; Kaisa Silander; Samuli Ripatti; Linda S Kumpula; Eija Hämäläinen; Pekka Jousilahti; Antti J Kangas; Satu Männistö; Markku J Savolainen; Antti Jula; Jaana Leiviskä; Aarno Palotie; Veikko Salomaa; Markus Perola; Mika Ala-Korpela; Leena Peltonen
Journal:  Mol Syst Biol       Date:  2010-12-21       Impact factor: 13.068

9.  Genetics meets metabolomics: a genome-wide association study of metabolite profiles in human serum.

Authors:  Christian Gieger; Ludwig Geistlinger; Elisabeth Altmaier; Martin Hrabé de Angelis; Florian Kronenberg; Thomas Meitinger; Hans-Werner Mewes; H-Erich Wichmann; Klaus M Weinberger; Jerzy Adamski; Thomas Illig; Karsten Suhre
Journal:  PLoS Genet       Date:  2008-11-28       Impact factor: 5.917

10.  Newly identified loci that influence lipid concentrations and risk of coronary artery disease.

Authors:  Cristen J Willer; Serena Sanna; Anne U Jackson; Angelo Scuteri; Lori L Bonnycastle; Robert Clarke; Simon C Heath; Nicholas J Timpson; Samer S Najjar; Heather M Stringham; James Strait; William L Duren; Andrea Maschio; Fabio Busonero; Antonella Mulas; Giuseppe Albai; Amy J Swift; Mario A Morken; Narisu Narisu; Derrick Bennett; Sarah Parish; Haiqing Shen; Pilar Galan; Pierre Meneton; Serge Hercberg; Diana Zelenika; Wei-Min Chen; Yun Li; Laura J Scott; Paul A Scheet; Jouko Sundvall; Richard M Watanabe; Ramaiah Nagaraja; Shah Ebrahim; Debbie A Lawlor; Yoav Ben-Shlomo; George Davey-Smith; Alan R Shuldiner; Rory Collins; Richard N Bergman; Manuela Uda; Jaakko Tuomilehto; Antonio Cao; Francis S Collins; Edward Lakatta; G Mark Lathrop; Michael Boehnke; David Schlessinger; Karen L Mohlke; Gonçalo R Abecasis
Journal:  Nat Genet       Date:  2008-01-13       Impact factor: 38.330

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  67 in total

Review 1.  Integrated metabolomics and genomics: systems approaches to biomarkers and mechanisms of cardiovascular disease.

Authors:  Svati H Shah; Christopher B Newgard
Journal:  Circ Cardiovasc Genet       Date:  2015-04

2.  Metabolomic analysis to define and compare the effects of PAHs and oxygenated PAHs in developing zebrafish.

Authors:  Marc R Elie; Jaewoo Choi; Yasmeen M Nkrumah-Elie; Gregory D Gonnerman; Jan F Stevens; Robert L Tanguay
Journal:  Environ Res       Date:  2015-05-22       Impact factor: 6.498

3.  Nonadditive Effects of Genes in Human Metabolomics.

Authors:  Yakov A Tsepilov; So-Youn Shin; Nicole Soranzo; Tim D Spector; Cornelia Prehn; Jerzy Adamski; Gabi Kastenmüller; Rui Wang-Sattler; Konstantin Strauch; Christian Gieger; Yurii S Aulchenko; Janina S Ried
Journal:  Genetics       Date:  2015-05-14       Impact factor: 4.562

4.  Human Plasma Metabolomics Study across All Stages of Age-Related Macular Degeneration Identifies Potential Lipid Biomarkers.

Authors:  Inês Laíns; Rachel S Kelly; John B Miller; Rufino Silva; Demetrios G Vavvas; Ivana K Kim; Joaquim N Murta; Jessica Lasky-Su; Joan W Miller; Deeba Husain
Journal:  Ophthalmology       Date:  2017-09-12       Impact factor: 12.079

5.  Epidemiology in Germany-general development and personal experience.

Authors:  Heinz-Erich Wichmann
Journal:  Eur J Epidemiol       Date:  2017-08-16       Impact factor: 8.082

6.  Untargeted metabolomics reveals multiple metabolites influencing smoking-related DNA methylation.

Authors:  Yunfeng Huang; Qin Hui; Douglas I Walker; Karan Uppal; Jack Goldberg; Dean P Jones; Viola Vaccarino; Yan V Sun
Journal:  Epigenomics       Date:  2018-03-12       Impact factor: 4.778

7.  Revisiting Protocols for the NMR Analysis of Bacterial Metabolomes.

Authors:  Steven Halouska; Bo Zhang; Rosmarie Gaupp; Shulei Lei; Emily Snell; Robert J Fenton; Raul G Barletta; Greg A Somerville; Robert Powers
Journal:  J Integr OMICS       Date:  2013-12

8.  A genome-wide association study of the human metabolome in a community-based cohort.

Authors:  Eugene P Rhee; Jennifer E Ho; Ming-Huei Chen; Dongxiao Shen; Susan Cheng; Martin G Larson; Anahita Ghorbani; Xu Shi; Iiro T Helenius; Christopher J O'Donnell; Amanda L Souza; Amy Deik; Kerry A Pierce; Kevin Bullock; Geoffrey A Walford; Ramachandran S Vasan; Jose C Florez; Clary Clish; J-R Joanna Yeh; Thomas J Wang; Robert E Gerszten
Journal:  Cell Metab       Date:  2013-07-02       Impact factor: 27.287

9.  Causal Genetic Variation Underlying Metabolome Differences.

Authors:  Devjanee Swain-Lenz; Igor Nikolskiy; Jiye Cheng; Priya Sudarsanam; Darcy Nayler; Max V Staller; Barak A Cohen
Journal:  Genetics       Date:  2017-06-26       Impact factor: 4.562

Review 10.  Genomic Determinants of Hypertension With a Focus on Metabolomics and the Gut Microbiome.

Authors:  Panayiotis Louca; Cristina Menni; Sandosh Padmanabhan
Journal:  Am J Hypertens       Date:  2020-05-21       Impact factor: 2.689

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