Literature DB >> 21311326

Gene-gene and gene-environment interactions defining lipid-related traits.

José M Ordovás1, Ruairi Robertson, Ellen Ní Cléirigh.   

Abstract

PURPOSE OF REVIEW: Steps towards reducing chronic disease progression are continuously being taken through the form of genomic research. Studies over the last year have highlighted more and more polymorphisms, pathways and interactions responsible for metabolic disorders such as cardiovascular disease, obesity and dyslipidemia. RECENT
FINDINGS: Many of these chronic illnesses can be partially blamed by altered lipid metabolism, combined with individual genetic components. Critical evaluation and comparison of these recent studies is essential in order to comprehend the results, conclusions and future prospects in the field of genomics as a whole. Recent literature elucidates significant gene--diet and gene--environment interactions resulting in altered lipid metabolism, inflammation and other metabolic imbalances leading to cardiovascular disease and obesity.
SUMMARY: Epigenetic and epistatic interactions are now becoming more significantly associated with such disorders, as genomic research digs deeper into the complex nature of genetic individuality and heritability. The vast array of data collected from genome-wide association studies must now be empowered and explored through more complex interaction studies, using standardized methods and larger sample sizes. In doing so the etiology of chronic disease progression will be further understood.

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Year:  2011        PMID: 21311326     DOI: 10.1097/MOL.0b013e32834477a9

Source DB:  PubMed          Journal:  Curr Opin Lipidol        ISSN: 0957-9672            Impact factor:   4.776


  25 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.  Epigenetics lights up the obesity field.

Authors:  Amelia Marti; Jose Ordovas
Journal:  Obes Facts       Date:  2011-06-17       Impact factor: 3.942

3.  Association between the MARS rs6782181 polymorphism and serum lipid levels.

Authors:  Jian Wu; Rui-Xing Yin; Tao Guo; Quan-Zhen Lin; Guang-Yuan Shi; Jia-Qi Sun; Shao-Wen Shen; Yi-Ming Wang; Hui Li; Jin-Zhen Wu
Journal:  Int J Clin Exp Pathol       Date:  2015-02-01

Review 4.  Exploring unknowns in cardiology.

Authors:  Ottavio Alfieri; Bongani M Mayosi; Seung-Jung Park; Nizal Sarrafzadegan; Renu Virmani
Journal:  Nat Rev Cardiol       Date:  2014-09-23       Impact factor: 32.419

5.  Association of BDNF rs11030104 SNP and serum lipid levels in two Chinese ethnic groups.

Authors:  Ling Pan; Man-Qiu Mo; Liu Miao; Qing-Hui Zhang; Shuo Yang; Hui Gao; Feng Huang; Shang-Ling Pan; Rui-Xing Yin
Journal:  Int J Clin Exp Pathol       Date:  2018-03-01

6.  Association between the MGAT1 rs634501 polymorphism and serum lipid traits in the Chinese Han and Maonan ethnic groups.

Authors:  Jie Wu; Rui-Xing Yin; Yong-Gang Zhou; Qing-Hui Zhang; Jin-Zhen Wu; Wu-Xian Chen
Journal:  Int J Clin Exp Pathol       Date:  2018-12-01

7.  Association between the GPAM rs1129555 SNP and serum lipid profiles in the Maonan and Han populations.

Authors:  Shuo Yang; Rui-Xing Yin; Liu Miao; Qing-Hui Zhang; Yong-Gang Zhou; Jie Wu
Journal:  Int J Clin Exp Pathol       Date:  2018-03-01

8.  A gene-diet interaction-based score predicts response to dietary fat in the Women's Health Initiative.

Authors:  Kenneth Westerman; Qing Liu; Simin Liu; Laurence D Parnell; Paola Sebastiani; Paul Jacques; Dawn L DeMeo; José M Ordovás
Journal:  Am J Clin Nutr       Date:  2020-04-01       Impact factor: 7.045

9.  No evidence of interaction between known lipid-associated genetic variants and smoking in the multi-ethnic PAGE population.

Authors:  Logan Dumitrescu; Cara L Carty; Nora Franceschini; Lucia A Hindorff; Shelley A Cole; Petra Bůžková; Fredrick R Schumacher; Charles B Eaton; Robert J Goodloe; David J Duggan; Jeff Haessler; Barbara Cochran; Brian E Henderson; Iona Cheng; Karen C Johnson; Chris S Carlson; Shelly-Anne Love; Kristin Brown-Gentry; Alejandro Q Nato; Miguel Quibrera; Ralph V Shohet; José Luis Ambite; Lynne R Wilkens; Loïc Le Marchand; Christopher A Haiman; Steven Buyske; Charles Kooperberg; Kari E North; Myriam Fornage; Dana C Crawford
Journal:  Hum Genet       Date:  2013-10-08       Impact factor: 4.132

Review 10.  Epigenetics in the development, modification, and prevention of cardiovascular disease.

Authors:  Thomas F Whayne
Journal:  Mol Biol Rep       Date:  2014-09-10       Impact factor: 2.316

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