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[Genetics of human obesity].
Rev Med Interne 2005; 26(10):802-11RM

Abstract

BACKGROUND

Both genetic and environmental aspects are recognized in the obesity field but we are not able to elucidate multiple genes and gene-environment interactions with the present resources and tools used in the study of this complex disease. The purpose of this paper is to present some examples of the knowledge acquired in the field of obesity genetics and the new ongoing tools and developments that aim at studying the contribution of genes to obesity and their response to environmental changes.

MAIN POINTS

In rare cases of monogenic obesities, genetic tools have proved extremely powerful for identifying the genes responsible and for defining new syndromes. However, in common obesity, most studies include the search for genotype-phenotype associations without taking into account the influence of environment (diet, sedentary lifestyle) in the relationship. Among the limitations to this integrated approach, one can cite the difficulty of having large enough samples as well as biocomputing tools that are still in their infancy for accessing the question of multiple interactions with no "a priori hypotheses". This picture will probably change rapidly in the future.

PERSPECTIVE

Large databases and DNA and biological sample banks will be available with updated environmental information and precise phenotypes thanks especially to European working groups. The capacity for studying multiple genes at once at the DNA or RNA levels is rapidly growing. Finally, tremendous progress in biocomputing will allow the integration of information from different sources (i.e. environment, phenotype, genotype, gene expression) and thus improve our ability to deal with complexity.

Authors+Show Affiliations

Inserm Avenir, Paris EA3502, université Pierre-et-Marie-Curie, Paris VI, France.No affiliation info available

Pub Type(s)

Comparative Study
English Abstract
Journal Article
Review

Language

fre

PubMed ID

15927311

Citation

Lubrano-Berthelier, C, and K Clément. "[Genetics of Human Obesity]." La Revue De Medecine Interne, vol. 26, no. 10, 2005, pp. 802-11.
Lubrano-Berthelier C, Clément K. [Genetics of human obesity]. Rev Med Interne. 2005;26(10):802-11.
Lubrano-Berthelier, C., & Clément, K. (2005). [Genetics of human obesity]. La Revue De Medecine Interne, 26(10), pp. 802-11.
Lubrano-Berthelier C, Clément K. [Genetics of Human Obesity]. Rev Med Interne. 2005;26(10):802-11. PubMed PMID: 15927311.
* Article titles in AMA citation format should be in sentence-case
TY - JOUR T1 - [Genetics of human obesity]. AU - Lubrano-Berthelier,C, AU - Clément,K, PY - 2005/01/06/received PY - 2005/03/29/accepted PY - 2005/6/2/pubmed PY - 2005/12/20/medline PY - 2005/6/2/entrez SP - 802 EP - 11 JF - La Revue de medecine interne JO - Rev Med Interne VL - 26 IS - 10 N2 - BACKGROUND: Both genetic and environmental aspects are recognized in the obesity field but we are not able to elucidate multiple genes and gene-environment interactions with the present resources and tools used in the study of this complex disease. The purpose of this paper is to present some examples of the knowledge acquired in the field of obesity genetics and the new ongoing tools and developments that aim at studying the contribution of genes to obesity and their response to environmental changes. MAIN POINTS: In rare cases of monogenic obesities, genetic tools have proved extremely powerful for identifying the genes responsible and for defining new syndromes. However, in common obesity, most studies include the search for genotype-phenotype associations without taking into account the influence of environment (diet, sedentary lifestyle) in the relationship. Among the limitations to this integrated approach, one can cite the difficulty of having large enough samples as well as biocomputing tools that are still in their infancy for accessing the question of multiple interactions with no "a priori hypotheses". This picture will probably change rapidly in the future. PERSPECTIVE: Large databases and DNA and biological sample banks will be available with updated environmental information and precise phenotypes thanks especially to European working groups. The capacity for studying multiple genes at once at the DNA or RNA levels is rapidly growing. Finally, tremendous progress in biocomputing will allow the integration of information from different sources (i.e. environment, phenotype, genotype, gene expression) and thus improve our ability to deal with complexity. SN - 0248-8663 UR - https://www.unboundmedicine.com/medline/citation/15927311/[Genetics_of_human_obesity]_ L2 - https://linkinghub.elsevier.com/retrieve/pii/S0248-8663(05)00167-0 DB - PRIME DP - Unbound Medicine ER -