Literature DB >> 28300226

Connecting the Human Variome Project to nutrigenomics.

Jim Kaput1, Chris T Evelo2, Giuditta Perozzi3, Ben van Ommen4, Richard Cotton5.   

Abstract

Nutrigenomics is the science of analyzing and understanding gene-nutrient interactions, which because of the genetic heterogeneity, varying degrees of interaction among gene products, and the environmental diversity is a complex science. Although much knowledge of human diversity has been accumulated, estimates suggest that ~90% of genetic variation has not yet been characterized. Identification of the DNA sequence variants that contribute to nutrition-related disease risk is essential for developing a better understanding of the complex causes of disease in humans, including nutrition-related disease. The Human Variome Project (HVP; http://www.humanvariomeproject.org/) is an international effort to systematically identify genes, their mutations, and their variants associated with phenotypic variability and indications of human disease or phenotype. Since nutrigenomic research uses genetic information in the design and analysis of experiments, the HVP is an essential collaborator for ongoing studies of gene-nutrient interactions. With the advent of next generation sequencing methodologies and the understanding of the undiscovered variation in human genomes, the nutrigenomic community will be generating novel sequence data and results. The guidelines and practices of the HVP can guide and harmonize these efforts.

Entities:  

Keywords:  Harmonization; Human Variome Project; Nutrigenomics

Year:  2010        PMID: 28300226      PMCID: PMC2989367          DOI: 10.1007/s12263-010-0186-6

Source DB:  PubMed          Journal:  Genes Nutr        ISSN: 1555-8932            Impact factor:   5.523


  68 in total

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2.  The ClinSeq Project: piloting large-scale genome sequencing for research in genomic medicine.

Authors:  Leslie G Biesecker; James C Mullikin; Flavia M Facio; Clesson Turner; Praveen F Cherukuri; Robert W Blakesley; Gerard G Bouffard; Peter S Chines; Pedro Cruz; Nancy F Hansen; Jamie K Teer; Baishali Maskeri; Alice C Young; Teri A Manolio; Alexander F Wilson; Toren Finkel; Paul Hwang; Andrew Arai; Alan T Remaley; Vandana Sachdev; Robert Shamburek; Richard O Cannon; Eric D Green
Journal:  Genome Res       Date:  2009-07-14       Impact factor: 9.043

3.  Diet and the evolution of human amylase gene copy number variation.

Authors:  George H Perry; Nathaniel J Dominy; Katrina G Claw; Arthur S Lee; Heike Fiegler; Richard Redon; John Werner; Fernando A Villanea; Joanna L Mountain; Rajeev Misra; Nigel P Carter; Charles Lee; Anne C Stone
Journal:  Nat Genet       Date:  2007-09-09       Impact factor: 38.330

4.  Singapore Genome Variation Project: a haplotype map of three Southeast Asian populations.

Authors:  Yik-Ying Teo; Xueling Sim; Rick T H Ong; Adrian K S Tan; Jieming Chen; Erwin Tantoso; Kerrin S Small; Chee-Seng Ku; Edmund J D Lee; Mark Seielstad; Kee-Seng Chia
Journal:  Genome Res       Date:  2009-08-21       Impact factor: 9.043

Review 5.  Interdisciplinary, translational, and community-based participatory research: finding a common language to improve cancer research.

Authors:  James R Hebert; Heather M Brandt; Cheryl A Armstead; Swann A Adams; Susan E Steck
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2009-03-31       Impact factor: 4.254

6.  Planning the human variome project: the Spain report.

Authors:  Jim Kaput; Richard G H Cotton; Lauren Hardman; Michael Watson; Aida I Al Aqeel; Jumana Y Al-Aama; Fahd Al-Mulla; Santos Alonso; Stefan Aretz; Arleen D Auerbach; Bharati Bapat; Inge T Bernstein; Jong Bhak; Stacey L Bleoo; Helmut Blöcker; Steven E Brenner; John Burn; Mariona Bustamante; Rita Calzone; Anne Cambon-Thomsen; Michele Cargill; Paola Carrera; Lawrence Cavedon; Yoon Shin Cho; Yeun-Jun Chung; Mireille Claustres; Garry Cutting; Raymond Dalgleish; Johan T den Dunnen; Carlos Díaz; Steven Dobrowolski; M Rosário N dos Santos; Rosemary Ekong; Simon B Flanagan; Paul Flicek; Yoichi Furukawa; Maurizio Genuardi; Ho Ghang; Maria V Golubenko; Marc S Greenblatt; Ada Hamosh; John M Hancock; Ross Hardison; Terence M Harrison; Robert Hoffmann; Rania Horaitis; Heather J Howard; Carol Isaacson Barash; Neskuts Izagirre; Jongsun Jung; Toshio Kojima; Sandrine Laradi; Yeon-Su Lee; Jong-Young Lee; Vera L Gil-da-Silva-Lopes; Finlay A Macrae; Donna Maglott; Makia J Marafie; Steven G E Marsh; Yoichi Matsubara; Ludwine M Messiaen; Gabriela Möslein; Mihai G Netea; Melissa L Norton; Peter J Oefner; William S Oetting; James C O'Leary; Ana Maria Oller de Ramirez; Mark H Paalman; Jillian Parboosingh; George P Patrinos; Giuditta Perozzi; Ian R Phillips; Sue Povey; Suyash Prasad; Ming Qi; David J Quin; Rajkumar S Ramesar; C Sue Richards; Judith Savige; Dagmar G Scheible; Rodney J Scott; Daniela Seminara; Elizabeth A Shephard; Rolf H Sijmons; Timothy D Smith; María-Jesús Sobrido; Toshihiro Tanaka; Sean V Tavtigian; Graham R Taylor; Jon Teague; Thoralf Töpel; Mollie Ullman-Cullere; Joji Utsunomiya; Henk J van Kranen; Mauno Vihinen; Elizabeth Webb; Thomas K Weber; Meredith Yeager; Young I Yeom; Seon-Hee Yim; Hyang-Sook Yoo
Journal:  Hum Mutat       Date:  2009-04       Impact factor: 4.878

7.  Database mining for selection of SNP markers useful in admixture mapping.

Authors:  Tesfaye M Baye; Hemant K Tiwari; David B Allison; Rodney C Go
Journal:  BioData Min       Date:  2009-02-14       Impact factor: 2.522

8.  Which gene did you mean?

Authors:  Barend Mons
Journal:  BMC Bioinformatics       Date:  2005-06-07       Impact factor: 3.169

9.  Copy number variation in African Americans.

Authors:  Joseph P McElroy; Matthew R Nelson; Stacy J Caillier; Jorge R Oksenberg
Journal:  BMC Genet       Date:  2009-03-24       Impact factor: 2.797

10.  Discovery of rare variants via sequencing: implications for the design of complex trait association studies.

Authors:  Bingshan Li; Suzanne M Leal
Journal:  PLoS Genet       Date:  2009-05-15       Impact factor: 5.917

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  1 in total

1.  Evaluation of multiple variate selection methods from a biological perspective: a nutrigenomics case study.

Authors:  Henri S Tapp; Marijana Radonjic; E Kate Kemsley; Uwe Thissen
Journal:  Genes Nutr       Date:  2012-03-02       Impact factor: 5.523

  1 in total

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