Literature DB >> 15485344

Nutritional genomics.

Jose M Ordovas1, Dolores Corella.   

Abstract

Nutritional genomics has tremendous potential to change the future of dietary guidelines and personal recommendations. Nutrigenetics will provide the basis for personalized dietary recommendations based on the individual's genetic make up. This approach has been used for decades for certain monogenic diseases; however, the challenge is to implement a similar concept for common multifactorial disorders and to develop tools to detect genetic predisposition and to prevent common disorders decades before their manifestation. The preliminary results involving gene-diet interactions for cardiovascular diseases and cancer are promising, but mostly inconclusive. Success in this area will require the integration of different disciplines and investigators working on large population studies designed to adequately investigate gene-environment interactions. Despite the current difficulties, preliminary evidence strongly suggests that the concept should work and that we will be able to harness the information contained in our genomes to achieve successful aging using behavioral changes; nutrition will be the cornerstone of this endeavor.

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Year:  2004        PMID: 15485344     DOI: 10.1146/annurev.genom.5.061903.180008

Source DB:  PubMed          Journal:  Annu Rev Genomics Hum Genet        ISSN: 1527-8204            Impact factor:   8.929


  48 in total

1.  Meta-Analysis of the Association Between the rs228570 Vitamin D Receptor Gene Polymorphism and Arterial Hypertension Risk.

Authors:  Ivone F O C Nunes; Ana A C M Cavalcante; Marcus V O B Alencar; Marcos D F Carvalho; José L R Sarmento; Nayra S C C A Teixeira; Adriana A Paiva; Lídia R Carvalho; Leopoldo F M Nascimento; Maria S P Cruz; Marcelo M Rogero; Andréia C B Lima; Cecilia M R G Carvalho
Journal:  Adv Nutr       Date:  2020-09-01       Impact factor: 8.701

Review 2.  Nutrition and neurodevelopment in children: focus on NUTRIMENTHE project.

Authors:  Tania Anjos; Signe Altmäe; Pauline Emmett; Henning Tiemeier; Ricardo Closa-Monasterolo; Verónica Luque; Sheila Wiseman; Miguel Pérez-García; Eva Lattka; Hans Demmelmair; Bernadette Egan; Niels Straub; Hania Szajewska; Jayne Evans; Claire Horton; Tomas Paus; Elizabeth Isaacs; Jan Willem van Klinken; Berthold Koletzko; Cristina Campoy
Journal:  Eur J Nutr       Date:  2013-07-25       Impact factor: 5.614

Review 3.  Nutrigenetics-personalized nutrition in obesity and cardiovascular diseases.

Authors:  Luigi Barrea; Giuseppe Annunziata; Laura Bordoni; Giovanna Muscogiuri; Annamaria Colao; Silvia Savastano
Journal:  Int J Obes Suppl       Date:  2020-07-20

Review 4.  Genetic variation and lipid metabolism: modulation by dietary factors.

Authors:  Jose M Ordovas; Dolores Corella
Journal:  Curr Cardiol Rep       Date:  2005-11       Impact factor: 2.931

5.  Harnessing Nutrigenomics: Development of web-based communication, databases, resources, and tools.

Authors:  Jim Kaput; Siân Astley; Marten Renkema; Jose Ordovas; Ben van Ommen
Journal:  Genes Nutr       Date:  2006-03       Impact factor: 5.523

6.  The challenges for molecular nutrition research 1: linking genotype to healthy nutrition.

Authors:  Christine M Williams; Jose M Ordovas; Dennis Lairon; John Hesketh; Georg Lietz; Mike Gibney; Ben van Ommen
Journal:  Genes Nutr       Date:  2008-07       Impact factor: 5.523

7.  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

8.  APOA2 -256T>C polymorphism interacts with saturated fatty acids intake to affect anthropometric and hormonal variables in type 2 diabetic patients.

Authors:  Marjan Ghane Basiri; Gity Sotoudeh; Ehsan Alvandi; Mahmood Djalali; Mohammad Reza Eshraghian; Neda Noorshahi; Fariba Koohdani
Journal:  Genes Nutr       Date:  2015-04-23       Impact factor: 5.523

9.  APOA2, dietary fat, and body mass index: replication of a gene-diet interaction in 3 independent populations.

Authors:  Dolores Corella; Gina Peloso; Donna K Arnett; Serkalem Demissie; L Adrienne Cupples; Katherine Tucker; Chao-Qiang Lai; Laurence D Parnell; Oscar Coltell; Yu-Chi Lee; Jose M Ordovas
Journal:  Arch Intern Med       Date:  2009-11-09

10.  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

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