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<title>American Journal of Clinical Nutrition Gene-nutrient interactions</title>
<link>http://www.ajcn.org</link>
<description>American Journal of Clinical Nutrition RSS feed -- recent Gene-nutrient interactions articles</description>
<prism:eIssn>1938-3207</prism:eIssn>
<prism:publicationName>American Journal of Clinical Nutrition</prism:publicationName>
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<title>American Journal of Clinical Nutrition</title>
<url>http://www.ajcn.org/icons/banner/title.gif</url>
<link>http://www.ajcn.org</link>
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<item rdf:about="http://www.ajcn.org/cgi/content/short/90/5/1411?rss=1">
<title><![CDATA[Functional genetic variants of glutathione S-transferase protect against serum ascorbic acid deficiency [Gene-nutrient interactions]]]></title>
<link>http://www.ajcn.org/cgi/content/short/90/5/1411?rss=1</link>
<description><![CDATA[
<p><b>Background:</b> Glutathione <I>S</I>-transferases (GSTs) are detoxifying enzymes that contribute to the glutathione-ascorbic acid (vitamin C) antioxidant cycle.</p>
<p><b>Objective:</b> The objective was to determine whether <I>GST</I> genotypes modify the association between dietary vitamin C and serum ascorbic acid.</p>
<p><b>Design:</b> Nonsmoking men and women (<I>n</I> = 905) between 20 and 29 y of age were participants in the Toronto Nutrigenomics and Health Study. Overnight fasting blood samples were collected to determine serum ascorbic acid concentrations by HPLC and to genotype for deletion polymorphisms in <I>GSTM1</I> and <I>GSTT1</I> and an Ile105Val substitution in <I>GSTP1</I>. A 196-item food-frequency questionnaire was used to estimate vitamin C intake.</p>
<p><b>Results:</b> A gene-diet interaction on serum ascorbic acid was observed for <I>GSTM1</I> (<I>P</I> = 0.04) and <I>GSTT1</I> (<I>P</I> = 0.01) but not for <I>GSTP1</I> (<I>P</I> = 0.83). The odds ratio (95% CI) for serum ascorbic acid deficiency (&lt;11 <I>&micro;</I>mol/L) was 3.20 (1.88, 5.44) for subjects who did not meet the Recommended Dietary Allowance of vitamin C compared with those who did. The corresponding odds ratios (95% CIs) were 2.17 (1.10, 4.28) and 12.28 (4.26, 33.42), respectively, for individuals with the <I>GSTT1*1</I>/<I>*1</I> +<I>*1/*0</I> (functional) and <I>GSTT1*0/*0</I> (null) genotypes and 2.29 (0.96, 5.45) and 4.03 (2.01, 8.09), respectively, for the <I>GSTM1*1/*1+GSTM1*1/*0</I> and <I>GSTM1*0/*0</I> genotypes.</p>
<p><b>Conclusions:</b> The recommended intake of vitamin C protects against serum ascorbic acid deficiency, regardless of genotype. Individuals with <I>GST</I> null genotypes had an increased risk of deficiency if they did not meet the Recommended Dietary Allowance for vitamin C, which suggests that the GST enzymes protect against serum ascorbic acid deficiency when dietary vitamin C is insufficient.</p>
]]></description>
<dc:creator><![CDATA[Cahill, L. E, Fontaine-Bisson, B., El-Sohemy, A.]]></dc:creator>
<dc:date>Tue, 20 Oct 2009 10:02:38 PDT</dc:date>
<dc:identifier>info:doi/10.3945/ajcn.2009.28327</dc:identifier>
<dc:title><![CDATA[Functional genetic variants of glutathione S-transferase protect against serum ascorbic acid deficiency [Gene-nutrient interactions]]]></dc:title>
<dc:publisher>The American Society for Clinical Nutrition, Inc.</dc:publisher>
<prism:number>5</prism:number>
<prism:volume>90</prism:volume>
<prism:endingPage>1417</prism:endingPage>
<prism:publicationDate>2009-11-01</prism:publicationDate>
<prism:startingPage>1411</prism:startingPage>
<prism:section>Gene-nutrient interactions</prism:section>
</item>

<item rdf:about="http://www.ajcn.org/cgi/content/short/90/5/1418?rss=1">
<title><![CDATA[Fat and carbohydrate intake modify the association between genetic variation in the FTO genotype and obesity [Gene-nutrient interactions]]]></title>
<link>http://www.ajcn.org/cgi/content/short/90/5/1418?rss=1</link>
<description><![CDATA[
<p><b>Background:</b> The fat mass and obesity&ndash;associated gene (<I>FTO</I>) has been shown to be associated with obesity and to influence appetite regulation.</p>
<p><b>Objective:</b> The aim was to examine whether dietary factors (macronutrient and fiber intakes) and leisure-time physical activity modify the association between genetic variation in <I>FTO</I> and body mass index (BMI; in kg/m<sup>2</sup>).</p>
<p><b>Design:</b> A cross-sectional study examined 4839 subjects in the population-based Malm&ouml; Diet and Cancer study with dietary data (from a modified diet history method) and information on the genetic variant <I>FTO</I> (rs9939609). Direct anthropometric measures were made, and leisure-time physical activity was determined from the duration participants spent on 18 different physical activities.</p>
<p><b>Results:</b> Significant interactions between energy-adjusted fat intake and <I>FTO</I> genotype (<I>P</I> = 0.04) and between carbohydrate intake and <I>FTO</I> genotype (<I>P</I> = 0.001) on BMI were observed. The observed increase in BMI across <I>FTO</I> genotypes was restricted to those who reported a high-fat diet, with a mean BMI of 25.3 (95% CI: 24.9, 25.6) among <I>TT</I> carriers and of 26.3 (95% CI: 25.8, 26.8) among <I>AA</I> carriers (<I>P</I> = 0.0001). The <I>FTO</I> variant was not associated with a higher BMI among subjects with lower fat intakes (BMI = 25.7 and 25.9 in <I>TT</I> carriers and <I>AA</I> carriers, respectively; <I>P</I> = 0.42). Among individuals with a low-carbohydrate intake, we observed a mean BMI of 25.4 for <I>TT</I> carriers and of 26.8 for <I>AA</I> carriers. The increase in BMI across genotypes was mainly restricted to individuals who reported low leisure-time physical activity (<I>P</I> for trend = 0.004, <I>P</I> for interaction = 0.05).</p>
<p><b>Conclusion:</b> Our results indicate that high-fat diets and low physical activity levels may accentuate the susceptibility to obesity by the <I>FTO</I> variant.</p>
]]></description>
<dc:creator><![CDATA[Sonestedt, E., Roos, C., Gullberg, B., Ericson, U., Wirfalt, E., Orho-Melander, M.]]></dc:creator>
<dc:date>Tue, 20 Oct 2009 10:02:38 PDT</dc:date>
<dc:identifier>info:doi/10.3945/ajcn.2009.27958</dc:identifier>
<dc:title><![CDATA[Fat and carbohydrate intake modify the association between genetic variation in the FTO genotype and obesity [Gene-nutrient interactions]]]></dc:title>
<dc:publisher>The American Society for Clinical Nutrition, Inc.</dc:publisher>
<prism:number>5</prism:number>
<prism:volume>90</prism:volume>
<prism:endingPage>1425</prism:endingPage>
<prism:publicationDate>2009-11-01</prism:publicationDate>
<prism:startingPage>1418</prism:startingPage>
<prism:section>Gene-nutrient interactions</prism:section>
</item>

<item rdf:about="http://www.ajcn.org/cgi/content/short/90/5/1426?rss=1">
<title><![CDATA[Postprandial responses in hunger and satiety are associated with the rs9939609 single nucleotide polymorphism in FTO [Gene-nutrient interactions]]]></title>
<link>http://www.ajcn.org/cgi/content/short/90/5/1426?rss=1</link>
<description><![CDATA[
<p><b>Background:</b> The common rs9939609 single nucleotide polymorphism (SNP) in the fat mass and obesity&ndash;associated (<I>FTO</I>) gene is associated with adiposity, possibly by affecting satiety responsiveness.</p>
<p><b>Objective:</b> The objective was to determine whether postprandial responses in hunger and satiety are associated with rs9939609, taking interactions with other relevant candidate genes into account.</p>
<p><b>Design:</b> Sixty-two women and 41 men [age: 31 &plusmn; 14 y; body mass index (in kg/m<sup>2</sup>): 25.0 &plusmn; 3.1] were genotyped for 5 SNPs in <I>FTO</I>, <I>DNMT1</I>, <I>DNMT3B</I>, <I>LEP</I>, and <I>LEPR</I>. Individuals received fixed meals provided in energy balance. Hunger and satiety were determined pre- and postprandially by using visual analog scales.</p>
<p><b>Results:</b> A general association test showed a significant association between postprandial responses in hunger and satiety with rs9939609 (<I>P</I> = 0.036 and <I>P</I> = 0.050, respectively). Individuals with low postprandial responses in hunger and satiety were overrepresented among <I>TA</I>/<I>AA</I> carriers in rs9939609 (<I>FTO</I>) compared with <I>TT</I> carriers (dominant and additive model: <I>P</I> = 0.013 and <I>P</I> = 0.020, respectively). Moreover, multifactor dimensionality reduction showed significant epistatic interactions for the postprandial decrease in hunger involving rs9939609 (<I>FTO</I>), rs992472 (<I>DNMT3B</I>), and rs1137101 (<I>LEPR</I>). Individuals with a low postprandial decrease in hunger were overrepresented among <I>TA/AA</I> (dominant), <I>CC/CA</I> (recessive), and <I>AG/GG</I> (dominant) carriers in rs9939609 (<I>FTO</I>), rs992472 (<I>DNMT3B</I>), and rs1137101 (<I>LEPR</I>), respectively (<I>n</I> = 39), compared with <I>TT</I>, <I>AA</I>, and/or <I>AA</I> carriers in these SNPs, respectively (<I>P</I> = 0.00001). Each SNP had an additional effect.</p>
<p><b>Conclusions:</b> Our results confirm a role for <I>FTO</I> in responsiveness to hunger and satiety cues in adults in an experimental setting. The epistatic interaction suggests that DNA methylation, an epigenetic process, affects appetite.</p>
]]></description>
<dc:creator><![CDATA[den Hoed, M., Westerterp-Plantenga, M. S, Bouwman, F. G, Mariman, E. C., Westerterp, K. R]]></dc:creator>
<dc:date>Tue, 20 Oct 2009 10:02:38 PDT</dc:date>
<dc:identifier>info:doi/10.3945/ajcn.2009.28053</dc:identifier>
<dc:title><![CDATA[Postprandial responses in hunger and satiety are associated with the rs9939609 single nucleotide polymorphism in FTO [Gene-nutrient interactions]]]></dc:title>
<dc:publisher>The American Society for Clinical Nutrition, Inc.</dc:publisher>
<prism:number>5</prism:number>
<prism:volume>90</prism:volume>
<prism:endingPage>1432</prism:endingPage>
<prism:publicationDate>2009-11-01</prism:publicationDate>
<prism:startingPage>1426</prism:startingPage>
<prism:section>Gene-nutrient interactions</prism:section>
</item>

<item rdf:about="http://www.ajcn.org/cgi/content/short/90/4/1096?rss=1">
<title><![CDATA[Modification effects of physical activity and protein intake on heritability of body size and composition [Gene-nutrient interactions]]]></title>
<link>http://www.ajcn.org/cgi/content/short/90/4/1096?rss=1</link>
<description><![CDATA[
<p><b>Background:</b> The development of obesity is still a poorly understood process that is dependent on both genetic and environmental factors.</p>
<p><b>Objective:</b> The objective was to examine how physical activity and the proportion of energy as protein in the diet modify the genetic variation of body mass index (BMI), waist circumference, and percentage body fat.</p>
<p><b>Design:</b> Twins from Denmark (756 complete pairs) and Finland (278 complete pairs) aged 18&ndash;67 and 21&ndash;24 y, respectively, participated. The proportion of energy as protein in the diet was estimated by using food-frequency questionnaires. The participants reported the frequency and intensity of their leisure time physical activity. Waist circumference and BMI were measured. Percentage body fat was assessed in Denmark by using a bioelectrical impedance method. The data were analyzed by using gene-environment interaction models for twin data with the Mx statistical package (Virginia Institute for Psychiatric and Behavioral Genetics, Virginia Commonwealth University, Richmond, VA).</p>
<p><b>Results:</b> High physical activity was associated with lower mean values, and a high proportion of protein in the diet was associated with higher mean BMI, waist circumference, and percentage body fat and a reduction in genetic and environmental variances. Genetic modification by physical activity was statistically significant for BMI (&ndash;0.18; 95% CI: &ndash;0.31, &ndash;0.05) and waist circumference (&ndash;0.14; 95% CI: &ndash;0.22, &ndash;0.05) in the merged data. A high proportion of protein in the diet reduced genetic and environmental variances in BMI and waist circumference in Danish men but not in women or in Finnish men.</p>
<p><b>Conclusions:</b> Our results suggest that, in physically active individuals, the genetic variation in weight is reduced, which possibly suggests that physical activity is able to modify the action of the genes responsible for predisposition to obesity, whereas the protein content of the diet has no appreciable effect.</p>
]]></description>
<dc:creator><![CDATA[Silventoinen, K., Hasselbalch, A. L., Lallukka, T., Bogl, L., Pietilainen, K. H, Heitmann, B. L, Schousboe, K., Rissanen, A., Kyvik, K. O, Sorensen, T. I., Kaprio, J.]]></dc:creator>
<dc:date>Fri, 18 Sep 2009 13:36:55 PDT</dc:date>
<dc:identifier>info:doi/10.3945/ajcn.2009.27689</dc:identifier>
<dc:title><![CDATA[Modification effects of physical activity and protein intake on heritability of body size and composition [Gene-nutrient interactions]]]></dc:title>
<dc:publisher>The American Society for Clinical Nutrition, Inc.</dc:publisher>
<prism:number>4</prism:number>
<prism:volume>90</prism:volume>
<prism:endingPage>1103</prism:endingPage>
<prism:publicationDate>2009-10-01</prism:publicationDate>
<prism:startingPage>1096</prism:startingPage>
<prism:section>Gene-nutrient interactions</prism:section>
</item>

<item rdf:about="http://www.ajcn.org/cgi/content/short/90/3/686?rss=1">
<title><![CDATA[Novel variants at KCTD10, MVK, and MMAB genes interact with dietary carbohydrates to modulate HDL-cholesterol concentrations in the Genetics of Lipid Lowering Drugs and Diet Network Study [Gene-nutrient interactions]]]></title>
<link>http://www.ajcn.org/cgi/content/short/90/3/686?rss=1</link>
<description><![CDATA[
<p><b>Background:</b> Several genome-wide association studies have identified novel loci (<I>KCTD10</I>, <I>MVK</I>, and <I>MMAB</I>) that are associated with HDL-cholesterol concentrations. Of the environmental factors that determine HDL cholesterol, high-carbohydrate diets have been shown to be associated with low concentrations.</p>
<p><b>Objective:</b> The objective was to evaluate the associations of 8 single nucleotide polymorphisms (SNPs) located within the <I>KCTD10</I>, <I>MVK</I>, and <I>MMAB</I> loci with lipids and their potential interactions with dietary carbohydrates.</p>
<p><b>Design:</b> <I>KCTD10, MVK</I>, and <I>MMAB</I> SNPs were genotyped in 920 subjects (441 men and 479 women) who participated in the Genetics of Lipid Lowering Drugs and Diet Network (GOLDN) Study. Biochemical measurements were made by using standard procedures. Dietary intakes were estimated by using a validated questionnaire.</p>
<p><b>Results:</b> For the SNPs <I>KCTD10</I>_i5642G-&gt;C and <I>MVK</I>_S52NG-&gt;A, homozygotes for the major alleles (<I>G</I>) had lower HDL-cholesterol concentrations than did carriers of the minor alleles (<I>P</I> = 0.005 and <I>P</I> = 0.019, respectively). For the SNP 12inter_108466061A-&gt;G, homozygotes for the minor allele (<I>G</I>) had higher total cholesterol and LDL-cholesterol concentrations than did <I>AG</I> subjects (<I>P</I> = 0.030 and <I>P</I> = 0.034, respectively). Conversely, homozygotes for the major allele (<I>G</I>) at <I>MMAB</I>_3U3527G-&gt;C had higher LDL-cholesterol concentrations than did carriers of the minor allele (<I>P</I> = 0.034). Significant gene-diet interactions for HDL cholesterol were found (<I>P</I> &lt; 0.001&ndash;0.038), in which <I>GG</I> subjects at SNPs <I>KCTD10</I>_i5642G-&gt;C and <I>MMAB</I>_3U3527G-&gt;C and <I>C</I> allele carriers at SNP <I>KCTD10</I>_V206VT-&gt;C had lower concentrations only if they consumed diets with a high carbohydrate content (<I>P</I> &lt; 0.001&ndash;0.011).</p>
<p><b>Conclusion:</b> These findings suggest that the <I>KCTD10</I> (V206VT-&gt;C and i5642G-&gt;C) and <I>MMAB</I>_3U3527G-&gt;C variants may contribute to the variation in HDL-cholesterol concentrations, particularly in subjects with high carbohydrate intakes.</p>
]]></description>
<dc:creator><![CDATA[Junyent, M., Parnell, L. D, Lai, C.-Q., Lee, Y.-C., Smith, C. E, Arnett, D. K, Tsai, M. Y, Kabagambe, E. K, Straka, R. J, Province, M., An, P., Borecki, I., Ordovas, J. M]]></dc:creator>
<dc:date>Thu, 20 Aug 2009 10:03:28 PDT</dc:date>
<dc:identifier>info:doi/10.3945/ajcn.2009.27738</dc:identifier>
<dc:title><![CDATA[Novel variants at KCTD10, MVK, and MMAB genes interact with dietary carbohydrates to modulate HDL-cholesterol concentrations in the Genetics of Lipid Lowering Drugs and Diet Network Study [Gene-nutrient interactions]]]></dc:title>
<dc:publisher>The American Society for Clinical Nutrition, Inc.</dc:publisher>
<prism:number>3</prism:number>
<prism:volume>90</prism:volume>
<prism:endingPage>694</prism:endingPage>
<prism:publicationDate>2009-09-01</prism:publicationDate>
<prism:startingPage>686</prism:startingPage>
<prism:section>Gene-nutrient interactions</prism:section>
</item>

<item rdf:about="http://www.ajcn.org/cgi/content/short/90/2/415?rss=1">
<title><![CDATA[Fish-oil supplementation induces antiinflammatory gene expression profiles in human blood mononuclear cells [Gene-nutrient interactions]]]></title>
<link>http://www.ajcn.org/cgi/content/short/90/2/415?rss=1</link>
<description><![CDATA[
<p><b>Background:</b> Polyunsaturated fatty acids can have beneficial effects on human immune cells, such as peripheral blood mononuclear cells (PBMCs). However, the mechanisms of action of polyunsaturated fatty acids on immune cells are still largely unknown.</p>
<p><b>Objective:</b> The objective was to examine the effects of supplementation with the polyunsaturated fatty acids eicosapentaenoic acid (EPA) and docosahexaenoic acid (DHA) on whole-genome PBMC gene expression profiles, in healthy Dutch elderly subjects participating in a double-blind trial, by using whole-genome transcriptomics analysis.</p>
<p><b>Design:</b> The subjects were randomly allocated to 1 of 3 groups: <I>1</I>) consumption of 1.8 g EPA+DHA/d (<I>n</I> = 36), <I>2</I>) consumption of 0.4 g EPA+DHA/d (<I>n</I> = 37), or <I>3</I>) consumption of 4.0 g high&ndash;oleic acid sunflower oil (HOSF)/d (<I>n</I> = 38). All supplements were given in capsules. Before and after 26 wk of intervention, blood samples were collected. Microarray analysis was performed on PBMC RNA from 23 subjects who received 1.8 g EPA+DHA/d and 25 subjects who received HOSF capsules. Quantitative real-time polymerase chain reaction was performed in all 111 subjects.</p>
<p><b>Results:</b> A high EPA+DHA intake changed the expression of 1040 genes, whereas HOSF intake changed the expression of only 298 genes. EPA+DHA intake resulted in a decreased expression of genes involved in inflammatory- and atherogenic-related pathways, such as nuclear transcription factor <I></I>B signaling, eicosanoid synthesis, scavenger receptor activity, adipogenesis, and hypoxia signaling.</p>
<p><b>Conclusion:</b> These results are the first to show that intake of EPA+DHA for 26 wk can alter the gene expression profiles of PBMCs to a more antiinflammatory and antiatherogenic status. This trial was registered at clinicaltrials.gov as NCT00124852.</p>
]]></description>
<dc:creator><![CDATA[Bouwens, M., van de Rest, O., Dellschaft, N., Bromhaar, M. G., de Groot, L. C., Geleijnse, J. M, Muller, M., Afman, L. A]]></dc:creator>
<dc:date>Mon, 20 Jul 2009 10:02:05 PDT</dc:date>
<dc:identifier>info:doi/10.3945/ajcn.2009.27680</dc:identifier>
<dc:title><![CDATA[Fish-oil supplementation induces antiinflammatory gene expression profiles in human blood mononuclear cells [Gene-nutrient interactions]]]></dc:title>
<dc:publisher>The American Society for Clinical Nutrition, Inc.</dc:publisher>
<prism:number>2</prism:number>
<prism:volume>90</prism:volume>
<prism:endingPage>424</prism:endingPage>
<prism:publicationDate>2009-08-01</prism:publicationDate>
<prism:startingPage>415</prism:startingPage>
<prism:section>Gene-nutrient interactions</prism:section>
</item>

<item rdf:about="http://www.ajcn.org/cgi/content/short/90/2/425?rss=1">
<title><![CDATA[Physical activity attenuates the body mass index-increasing influence of genetic variation in the FTO gene [Gene-nutrient interactions]]]></title>
<link>http://www.ajcn.org/cgi/content/short/90/2/425?rss=1</link>
<description><![CDATA[
<p><b>Background:</b> Intronic variation in the <I>FTO</I> (fat mass and obesity-associated) gene has been unequivocally associated with increased body mass index (BMI; in kg/m<sup>2</sup>) and the risk of obesity in populations of different ethnicity.</p>
<p><b>Objective:</b> We examined whether this robust genetic predisposition to obesity can be attenuated by being more physically active.</p>
<p><b>Design:</b> The <I>FTO</I> variant rs1121980 was genotyped in 20,374 participants (39&ndash;79 y of age) from the European Prospective Investigation into Cancer and Nutrition&ndash;Norfolk Study, an ethnically homogeneous population-based cohort. Physical activity (PA) was assessed with a validated self-reported questionnaire. The interaction between rs1121980 and PA on BMI and waist circumference (WC) was examined by including the interaction term in mixed-effect models.</p>
<p><b>Results:</b> We confirmed that the risk (<I>T</I>) allele of rs1121980 was significantly associated with BMI (0.31-unit increase per allele; <I>P</I> &lt; 0.001) and WC (0.77-cm increase per allele; <I>P</I> &lt; 0.001). The PA level attenuated the effect of rs1121980 on BMI and WC; ie, whereas in active individuals the risk allele increased BMI by 0.25 per allele, the increase in BMI was significantly (<I>P</I> for interaction = 0.004) more pronounced (76%) in inactive individuals (0.44 per risk allele). We observed similar effects for WC (<I>P</I> for interaction = 0.02): the risk allele increased WC by 1.04 cm per allele in inactive individuals but by only 0.64 cm in active individuals.</p>
<p><b>Conclusions:</b> Our results showed that PA attenuates the effect of the <I>FTO</I> rs1121980 genotype on BMI and WC. This observation has important public health implications because we showed that a genetic susceptibility to obesity induced by <I>FTO</I> variation can be overcome, at least in part, by adopting a physically active lifestyle.</p>
]]></description>
<dc:creator><![CDATA[Vimaleswaran, K. S, Li, S., Zhao, J. H., Luan, J., Bingham, S. A, Khaw, K.-T., Ekelund, U., Wareham, N. J, Loos, R. J.]]></dc:creator>
<dc:date>Mon, 20 Jul 2009 10:02:05 PDT</dc:date>
<dc:identifier>info:doi/10.3945/ajcn.2009.27652</dc:identifier>
<dc:title><![CDATA[Physical activity attenuates the body mass index-increasing influence of genetic variation in the FTO gene [Gene-nutrient interactions]]]></dc:title>
<dc:publisher>The American Society for Clinical Nutrition, Inc.</dc:publisher>
<prism:number>2</prism:number>
<prism:volume>90</prism:volume>
<prism:endingPage>428</prism:endingPage>
<prism:publicationDate>2009-08-01</prism:publicationDate>
<prism:startingPage>425</prism:startingPage>
<prism:section>Gene-nutrient interactions</prism:section>
</item>

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