A genome-wide linkage scan for dietary energy and nutrient intakes: the Health, Risk Factors, Exercise Training, and Genetics (HERITAGE) Family Study.
Open accessAbstract
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.
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Genetic factors may explain a modest share of individual differences in sweet product consumption.
“Evidence exists that genetic factors could account for a modest portion of individual differences in the consumption of sweet products (83).”
From Sweetness and Food Preference (2012) · cites this paper as [83]
The Results and Discussion report promising genetic linkages for sucrose intake in Black participants, supporting a possible genetic contribution. The study measured sucrose intake rather than consumption of sweet products, and the cited passages do not estimate what share of individual differences genetics explains. Our copy provides no page numbers for these passages. (LLM, conf=0.84)
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Self-citation
- Authors
- Collaku, A., Rankinen, T., Rice, T., Leon, A. S., Rao, D., Skinner, J. S., Wilmore, J. H., & Bouchard, C.
- Affiliations
- Pennington Biomedical Research Center (US)
- Corresponding author
- Bouchard, Claude
- Venue
- The American Journal of Clinical Nutrition
- Publisher
- Elsevier BV
- Published
- 2004-05
- Volume
- 79
- Issue
- 5
- Pages
- 881-886
- ISSN
- 0002-9165 (ISSN-L)
- OpenAlex
- W1920278388
- Cited by
- 71
- References
- 32
- Citations by year
- 2022: 1 · 2021: 1 · 2019: 1 · 2017: 1 · 2016: 1 · 2014: 4 · 2013: 5 · 2012: 5
- FWCI
- 5.16
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Licence
- Locations
- American Journal of Clinical Nutrition (publishedVersion)
- PubMed (publishedVersion)
- Funders
- National Heart, Lung, and Blood Institute (R01HL047327, HL 47321, HL 45670, HL47323, R01HL047317, HL 47327, R01HL047323, HL47317, R01HL045670, R01HL047321)
- National Center for Research Resources (1P41-RR03655, RR-03655, P41 RR 03655, P41RR003655, 1P41 RR -3655)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genetic Associations and Epidemiology
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Nutrition, Genetics, and Disease
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genetic Mapping and Diversity in Plants and Animals
- Keywords
- energy intake, macronutrient intake, dietary fat intake, carbohydrate intake, protein intake, genetic linkage, quantitative trait loci, sibling pairs, HERITAGE Family Study, candidate genes, racial differences
- MeSH terms
- Adolescent, Adult, Aged, Energy Intake, Chromosome Mapping, Chromosomes, Human, Pair 1, Chromosomes, Human, Pair 12, Chromosomes, Human, Pair 20, Diet, Dietary Carbohydrates, Dietary Fats, Dietary Proteins, Female, Humans, Genetic Linkage, Male, Middle Aged, Risk Factors, Cohort Studies, Exercise, Genome, Human, Quantitative Trait, Heritable, Black People, White People
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