AJCN Cancer Health Disparities Conference
HOME HELP FEEDBACK SUBSCRIPTIONS ARCHIVE SEARCH TABLE OF CONTENTS
 QUICK SEARCH:   [advanced]


     


This Article
Right arrow Full Text
Right arrow Full Text (PDF)
Right arrow Purchase Article
Right arrow View Shopping Cart
Right arrow Alert me when this article is cited
Right arrow Alert me if a correction is posted
Right arrow Citation Map
Services
Right arrow Related articles in AJCN
Right arrow Similar articles in this journal
Right arrow Similar articles in PubMed
Right arrow Alert me to new issues of the journal
Right arrow Download to citation manager
Right arrow reprints & permissions
Citing Articles
Right arrow Citing Articles via HighWire
Right arrow Citing Articles via Google Scholar
Google Scholar
Right arrow Articles by Collaku, A.
Right arrow Articles by Bouchard, C.
Right arrow Search for Related Content
PubMed
Right arrow PubMed Citation
Right arrow Articles by Collaku, A.
Right arrow Articles by Bouchard, C.
Agricola
Right arrow Articles by Collaku, A.
Right arrow Articles by Bouchard, C.
American Journal of Clinical Nutrition, Vol. 79, No. 5, 881-886, May 2004
© 2004 American Society for Clinical Nutrition


ORIGINAL RESEARCH COMMUNICATION

A genome-wide linkage scan for dietary energy and nutrient intakes: the Health, Risk Factors, Exercise Training, and Genetics (HERITAGE) Family Study1,2,3

Agron Collaku, Tuomo Rankinen, Treva Rice, Arthur S Leon, DC Rao, James S Skinner, Jack H Wilmore and Claude Bouchard

1 From the Human Genomics Laboratory, Pennington Biomedical Research Center, Louisiana State University, Baton Rouge, LA (AC, TR, and CB); the Division of Biostatistics (TR) and the Departments of Genetics and Psychiatry (DCR),Washington University Medical School, St Louis; the Department of Kinesiology, University of Minnesota, Minneapolis (ASL); the Department of Kinesiology, Indiana University, Bloomington, IN (JSS); and the Department of Health and Kinesiology, Texas A&M University, College Station, TX (JHW).

Background: A poor diet is a risk factor for chronic diseases such as obesity, cardiovascular disease, hypertension, and some cancers. Twin and family studies suggest that genetic factors potentially influence energy and nutrient intakes.

Objective: We sought to identify genomic regions harboring genes affecting total energy, carbohydrate, protein, and fat intakes.

Design: We performed a genomic scan in 347 white sibling pairs and 99 black sibling pairs. Dietary energy and nutrient intakes were assessed by using Willett's food-frequency questionnaire. Single-point and multipoint Haseman-Elston regression techniques were used to test for linkage. These subjects were part of the Health, Risk Factors, Exercise Training, and Genetics (HERITAGE) Family Study, a multicenter project undertaken by 5 laboratories.

Results: In the whites, the strongest evidence of linkage appeared for dietary energy and nutrient intakes on chromosomes 1p21.2 (P = 0.0002) and 20q13.13 (P = 0.00007), and that for fat intake appeared on chromosome 12q14.1 (P = 0.0013). The linkage evidence on chromosomes 1 and 20 related to total energy intake rather than to the intake of specific macronutrients. In the blacks, promising linkages for macronutrient intakes occurred on chromosomes 12q23-q24.21, 1q32.1, and 7q11.1. Several potential candidate genes are encoded in and around the linkage regions on chromosomes 1p21.2, 12q14.1, and 20q13.13.

Conclusions: These are the first reported human quantitative trait loci for dietary energy and macronutrient intakes. Further study may refine these quantitative trait loci to identify potential candidate genes for energy and specific macronutrient intakes that would be amenable to more detailed molecular studies.

Key Words: Gene • quantitative trait locus • inheritance • food preference • linkage • energy intake


Related articles in AJCN:

Nutrient selection and the genetics of complex phenotypes
Anthony G Comuzzie
AJCN 2004 79: 715-716. [Full Text]  



This article has been cited by other articles:


Home page
Am. J. Clin. Nutr.Home page
A. C Choquette, S. Lemieux, A. Tremblay, Y. C Chagnon, C. Bouchard, M.-C. Vohl, and L. Perusse
Evidence of a quantitative trait locus for energy and macronutrient intakes on chromosome 3q27.3: the Quebec Family Study
Am. J. Clinical Nutrition, October 1, 2008; 88(4): 1142 - 1148.
[Abstract] [Full Text] [PDF]


Home page
Am. J. Clin. Nutr.Home page
K. Keskitalo, A. Knaapila, M. Kallela, A. Palotie, M. Wessman, S. Sammalisto, L. Peltonen, H. Tuorila, and M. Perola
Sweet taste preferences are partly genetically determined: identification of a trait locus on chromosome 16
Am. J. Clinical Nutrition, July 1, 2007; 86(1): 55 - 63.
[Abstract] [Full Text] [PDF]


Home page
Epidemiol RevHome page
W. Yang, T. Kelly, and J. He
Genetic Epidemiology of Obesity
Epidemiol. Rev., June 12, 2007; (2007) mxm004v1.
[Abstract] [Full Text] [PDF]


Home page
Clin. Chem.Home page
D. Corella, D. K. Arnett, M. Y. Tsai, E. K. Kabagambe, J. M. Peacock, J. E. Hixson, R. J. Straka, M. Province, C.-Q. Lai, L. D. Parnell, et al.
The -256T>C Polymorphism in the Apolipoprotein A-II Gene Promoter Is Associated with Body Mass Index and Food Intake in the Genetics of Lipid Lowering Drugs and Diet Network Study
Clin. Chem., June 1, 2007; 53(6): 1144 - 1152.
[Abstract] [Full Text] [PDF]


Home page
Am. J. Physiol. Regul. Integr. Comp. Physiol.Home page
J. Kaput
Nutrient selection through nutrigenomic approaches
Am J Physiol Regulatory Integrative Comp Physiol, January 1, 2007; 292(1): R204 - R206.
[Full Text] [PDF]


Home page
Am. J. Physiol. Regul. Integr. Comp. Physiol.Home page
K. G. Kumar, A. C. Poole, B. York, J. Volaufova, A. Zuberi, and B. K. S. Richards
Quantitative trait loci for carbohydrate and total energy intake on mouse chromosome 17: congenic strain confirmation and candidate gene analyses (Glo1, Glp1r)
Am J Physiol Regulatory Integrative Comp Physiol, January 1, 2007; 292(1): R207 - R216.
[Abstract] [Full Text] [PDF]


Home page
GeneticsHome page
C. R. Farber and J. F. Medrano
Fine Mapping Reveals Sex Bias in Quantitative Trait Loci Affecting Growth, Skeletal Size and Obesity-Related Traits on Mouse Chromosomes 2 and 11
Genetics, January 1, 2007; 175(1): 349 - 360.
[Abstract] [Full Text] [PDF]


Home page
Am. J. Clin. Nutr.Home page
R. J. Loos, T. Rankinen, T. Rice, D. Rao, A. S Leon, J. S Skinner, C. Bouchard, and G. Argyropoulos
Two ethnic-specific polymorphisms in the human Agouti-related protein gene are associated with macronutrient intake
Am. J. Clinical Nutrition, November 1, 2005; 82(5): 1097 - 1101.
[Abstract] [Full Text] [PDF]


Home page
Am. J. Clin. Nutr.Home page
B. Herbeth, E. Aubry, F. Fumeron, R. Aubert, F. Cailotto, G. Siest, and S. Visvikis-Siest
Polymorphism of the 5-HT2A receptor gene and food intakes in children and adolescents: the Stanislas Family Study
Am. J. Clinical Nutrition, August 1, 2005; 82(2): 467 - 470.
[Abstract] [Full Text] [PDF]


Home page
Am. J. Clin. Nutr.Home page
G. Cai, S. A Cole, R. A Bastarrachea-Sosa, J. W MacCluer, J. Blangero, and A. G Comuzzie
Quantitative trait locus determining dietary macronutrient intakes is located on human chromosome 2p22
Am. J. Clinical Nutrition, November 1, 2004; 80(5): 1410 - 1414.
[Abstract] [Full Text] [PDF]




HOME HELP FEEDBACK SUBSCRIPTIONS ARCHIVE SEARCH TABLE OF CONTENTS
Copyright © 2004 by The American Society for Nutrition