Literature DB >> 22328972

A Database of Gene-Environment Interactions Pertaining to Blood Lipid Traits, Cardiovascular Disease and Type 2 Diabetes.

Yu-Chi Lee1, Chao-Qiang Lai, Jose M Ordovas, Laurence D Parnell.   

Abstract

As the role of the environment - diet, exercise, alcohol and tobacco use and sleep among others - is accorded a more prominent role in modifying the relationship between genetic variants and clinical measures of disease, consideration of gene-environment (GxE) interactions is a must. To facilitate incorporation of GxE interactions into single-gene and genome-wide association studies, we have compiled from the literature a database of GxE interactions relevant to nutrition, blood lipids, cardiovascular disease and type 2 diabetes. Over 550 such interactions have been incorporated into a single database, along with over 1430 instances where a lack of statistical significance was found. This database will serve as an important resource to researchers in genetics and nutrition in order to gain an understanding of which points in the human genome are sensitive to variations in diet, physical activity and alcohol use, among other lifestyle choices. Furthermore, this GxE database has been designed with future integration into a larger database of nutritional phenotypes in mind.

Entities:  

Year:  2011        PMID: 22328972      PMCID: PMC3275815          DOI: 10.4172/2153-0602.1000106

Source DB:  PubMed          Journal:  J Data Mining Genomics Proteomics


  53 in total

1.  Combined effects of MC4R and FTO common genetic variants on obesity in European general populations.

Authors:  Stéphane Cauchi; Fanny Stutzmann; Christine Cavalcanti-Proença; Emmanuelle Durand; Anneli Pouta; Anna-Liisa Hartikainen; Michel Marre; Sylviane Vol; Tuija Tammelin; Jaana Laitinen; Arturo Gonzalez-Izquierdo; Alexandra I F Blakemore; Paul Elliott; David Meyre; Beverley Balkau; Marjo-Riitta Järvelin; Philippe Froguel
Journal:  J Mol Med (Berl)       Date:  2009-03-03       Impact factor: 4.599

Review 2.  Metabolic control analysis indicates a change of strategy in the treatment of cancer.

Authors:  Rafael Moreno-Sánchez; Emma Saavedra; Sara Rodríguez-Enríquez; Juan Carlos Gallardo-Pérez; Héctor Quezada; Hans V Westerhoff
Journal:  Mitochondrion       Date:  2010-06-25       Impact factor: 4.160

3.  Transgenerational genetic effects of the paternal Y chromosome on daughters' phenotypes.

Authors:  Vicki R Nelson; Sabrina H Spiezio; Joseph H Nadeau
Journal:  Epigenomics       Date:  2010-08       Impact factor: 4.778

4.  MiR-33 contributes to the regulation of cholesterol homeostasis.

Authors:  Katey J Rayner; Yajaira Suárez; Alberto Dávalos; Saj Parathath; Michael L Fitzgerald; Norimasa Tamehiro; Edward A Fisher; Kathryn J Moore; Carlos Fernández-Hernando
Journal:  Science       Date:  2010-05-13       Impact factor: 47.728

5.  Challenges of molecular nutrition research 6: the nutritional phenotype database to store, share and evaluate nutritional systems biology studies.

Authors:  Ben van Ommen; Jildau Bouwman; Lars O Dragsted; Christian A Drevon; Ruan Elliott; Philip de Groot; Jim Kaput; John C Mathers; Michael Müller; Fre Pepping; Jahn Saito; Augustin Scalbert; Marijana Radonjic; Philippe Rocca-Serra; Anthony Travis; Suzan Wopereis; Chris T Evelo
Journal:  Genes Nutr       Date:  2010-02-03       Impact factor: 5.523

6.  SNPs in PPARG associate with type 2 diabetes and interact with physical activity.

Authors:  Tuomas O Kilpeläinen; Timo A Lakka; David E Laaksonen; Jaana Lindström; Johan G Eriksson; Timo T Valle; Helena Hämäläinen; Pirjo Ilanne-Parikka; Sirkka Keinänen-Kiukaanniemi; Virpi Lindi; Jaakko Tuomilehto; Matti Uusitupa; Markku Laakso
Journal:  Med Sci Sports Exerc       Date:  2008-01       Impact factor: 5.411

7.  Synergistic effects between Q192R polymorphism of paraoxonase 1 gene and some conventional risk factors in premature coronary artery disease.

Authors:  Anna Balcerzyk; Iwona Zak; Jolanta Krauze
Journal:  Arch Med Res       Date:  2007-07       Impact factor: 2.235

8.  Apolipoprotein A5 polymorphisms interact with total dietary fat intake in association with markers of metabolic syndrome in Puerto Rican older adults.

Authors:  Josiemer Mattei; Serkalem Demissie; Katherine L Tucker; Jose M Ordovas
Journal:  J Nutr       Date:  2009-10-14       Impact factor: 4.798

9.  Coffee, CYP1A2 genotype, and risk of myocardial infarction.

Authors:  Marilyn C Cornelis; Ahmed El-Sohemy; Edmond K Kabagambe; Hannia Campos
Journal:  JAMA       Date:  2006-03-08       Impact factor: 56.272

10.  A side effect resource to capture phenotypic effects of drugs.

Authors:  Michael Kuhn; Monica Campillos; Ivica Letunic; Lars Juhl Jensen; Peer Bork
Journal:  Mol Syst Biol       Date:  2010-01-19       Impact factor: 11.429

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  28 in total

1.  How Gene Networks Can Uncover Novel CVD Players.

Authors:  Laurence D Parnell; Patricia Casas-Agustench; Lakshmanan K Iyer; Jose M Ordovas
Journal:  Curr Cardiovasc Risk Rep       Date:  2014-01

2.  Risks of nutrigenomics and nutrigenetics? What the scientists say.

Authors:  T Hurlimann; V Menuz; J Graham; J Robitaille; M-C Vohl; B Godard
Journal:  Genes Nutr       Date:  2013-11-29       Impact factor: 5.523

3.  Methylation potential associated with diet, genotype, protein, and metabolite levels in the Delta Obesity Vitamin Study.

Authors:  Jacqueline Pontes Monteiro; Carolyn Wise; Melissa J Morine; Candee Teitel; Lisa Pence; Anna Williams; Beverly McCabe-Sellers; Catherine Champagne; Jerome Turner; Beatrice Shelby; Baitang Ning; Joan Oguntimein; Lauren Taylor; Terri Toennessen; Corrado Priami; Richard D Beger; Margaret Bogle; Jim Kaput
Journal:  Genes Nutr       Date:  2014-04-24       Impact factor: 5.523

4.  Genome-wide association study identifies novel recessive genetic variants for high TGs in an Arab population.

Authors:  Prashantha Hebbar; Rasheeba Nizam; Motasem Melhem; Fadi Alkayal; Naser Elkum; Sumi Elsa John; Jaakko Tuomilehto; Osama Alsmadi; Thangavel Alphonse Thanaraj
Journal:  J Lipid Res       Date:  2018-08-14       Impact factor: 5.922

5.  Genetic variants at PSMD3 interact with dietary fat and carbohydrate to modulate insulin resistance.

Authors:  Ju-Sheng Zheng; Donna K Arnett; Laurence D Parnell; Yu-Chi Lee; Yiyi Ma; Caren E Smith; Kris Richardson; Duo Li; Ingrid B Borecki; Jose M Ordovas; Katherine L Tucker; Chao-Qiang Lai
Journal:  J Nutr       Date:  2013-01-09       Impact factor: 4.798

6.  EpiHealth: a large population-based cohort study for investigation of gene-lifestyle interactions in the pathogenesis of common diseases.

Authors:  Lars Lind; Sölve Elmståhl; Ebba Bergman; Martin Englund; Eva Lindberg; Karl Michaelsson; Peter M Nilsson; Johan Sundström
Journal:  Eur J Epidemiol       Date:  2013-02-24       Impact factor: 8.082

Review 7.  Developmental plasticity: re-conceiving the genotype.

Authors:  Sonia E Sultan
Journal:  Interface Focus       Date:  2017-08-18       Impact factor: 3.906

8.  Is the gene-environment interaction paradigm relevant to genome-wide studies? The case of education and body mass index.

Authors:  Jason D Boardman; Benjamin W Domingue; Casey L Blalock; Brett C Haberstick; Kathleen Mullan Harris; Matthew B McQueen
Journal:  Demography       Date:  2014-02

9.  Gain-of-function lipoprotein lipase variant rs13702 modulates lipid traits through disruption of a microRNA-410 seed site.

Authors:  Kris Richardson; Jennifer A Nettleton; Noemi Rotllan; Toshiko Tanaka; Caren E Smith; Chao-Qiang Lai; Laurence D Parnell; Yu-Chi Lee; Jari Lahti; Rozenn N Lemaitre; Ani Manichaikul; Margaux Keller; Vera Mikkilä; Julius Ngwa; Frank J A van Rooij; Christie M Ballentyne; Ingrid B Borecki; L Adrienne Cupples; Melissa Garcia; Albert Hofman; Luigi Ferrucci; Dariush Mozaffarian; Mia-Maria Perälä; Olli Raitakari; Russell P Tracy; Donna K Arnett; Stefania Bandinelli; Eric Boerwinkle; Johan G Eriksson; Oscar H Franco; Mika Kähönen; Michael Nalls; David S Siscovick; Denise K Houston; Bruce M Psaty; Jorma Viikari; Jacqueline C M Witteman; Mark O Goodarzi; Terho Lehtimäki; Yongmei Liu; M Carola Zillikens; Yii-Der I Chen; André G Uitterlinden; Jerome I Rotter; Carlos Fernandez-Hernando; Jose M Ordovas
Journal:  Am J Hum Genet       Date:  2012-12-13       Impact factor: 11.025

10.  Heritability and genetic etiology of habitual physical activity: a twin study with objective measures.

Authors:  M Gielen; M S Westerterp-Plantenga; F G Bouwman; A M C P Joosen; R Vlietinck; C Derom; M P Zeegers; E C M Mariman; K R Westerterp
Journal:  Genes Nutr       Date:  2014-07-05       Impact factor: 5.523

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