Dietary intake in the Personalized Medicine Research Project: A resource for studies of gene-diet interaction

Nutrition Journal

Volumn 10, Issue 1, 2011, Pages

  Strobush, Lacie ^a   Berg, Richard ^a   Cross, Deanna ^a   Foth, Wendy ^a   Kitchner, Terrie ^a   Coleman, Laura ^a   McCarty, Catherine A ^a  

^a MARSHFIELD CLINIC   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

APOLIPOPROTEIN E; DNA; APOLIPOPROTEIN E4;

ADULT; AGE DISTRIBUTION; AGED; ALCOHOL CONSUMPTION; ARTICLE; BAECKE PHYSICAL ACTIVITY QUESTIONNAIRE; CALORIC INTAKE; CHOLESTEROL INTAKE; DIET SUPPLEMENTATION; DIETARY INTAKE; FAT INTAKE; FEMALE; GENE DIET INTERACTION; GENETIC MARKER; GENOTYPE ENVIRONMENT INTERACTION; HUMAN; MACRONUTRIENT; MALE; NATIONAL CANCER INSTITUTE 124 ITEM DIET HISTORY QUESTIONNAIRE; PHYSICAL ACTIVITY; PROTEIN INTAKE; QUESTIONNAIRE; RISK ASSESSMENT; SMOKING; UNITED STATES; ADOLESCENT; COHORT ANALYSIS; DEMOGRAPHY; DIET; EATING; GENETICS; GENOTYPE; MIDDLE AGED; NUTRITION; PERSONALIZED MEDICINE; SELF REPORT;

ADOLESCENT; ADULT; AGED; AGED, 80 AND OVER; APOLIPOPROTEIN E4; COHORT STUDIES; DEMOGRAPHY; DIET; DIETARY FATS; DIETARY SUPPLEMENTS; EATING; ENERGY INTAKE; FEMALE; GENOTYPE; HUMANS; INDIVIDUALIZED MEDICINE; MALE; MIDDLE AGED; NUTRITION SURVEYS; QUESTIONNAIRES; SELF REPORT; WISCONSIN; YOUNG ADULT;

EID: 79251591943     PISSN: None     EISSN: 14752891     Source Type: Journal    
DOI: 10.1186/1475-2891-10-13     Document Type: Article

References (18)

1. Assessment of usual dietary intake in population studies of gene-diet interaction. KL Tucker, Nutr Metab Cardiovasc (Pubitemid 46240795)
2. Impact of alcohol intake on measures of lipid metabolism depends on context defined by gender, body mass index, cigarette smoking, and Apolipoprotein E genotype. S Lussier-Cacan A Bolduc M Xhignesse T Niyonsenga CF Sing, Arterioscler Thromb Vasc Biol 2002 22 824 831 10.1161/01.ATV.0000014589. 22121.6C 12006397 (Pubitemid 34517796)
3. Food and nutrient intake differences between smokers and non-smokers in the US. AF Subar LC Harlan ME Mattson, Am J Publ Health 1990 80 1323 1329 10.2105/AJPH.80.11.1323 (Pubitemid 20375548)
4. Gene:Environment interactions and coronary heart disease risk. PJ Talmund SE Humphries, World Rev Nutr Diet 2004 93 29 40 full-text 15496800
5. How to identify gene-environment interactions in a multifactorial disease: CHD as an example. PJ Talmud, Proc Nutr Soc 2004 63 1 5 10 10.1079/PNS2003311 15070435 (Pubitemid 38543868)
6. Phenotypic effects of apolipoprotein structural variation on lipid profiles. III. Contribution of apolipoprotein E phenotype to prediction of total cholesterol, apolipoprotein B, and low density lipoprotein cholesterol in the healthy women study. JE Eichner LH Kuller RE Ferrell EN Meilahn MI Kamboh, Arteriosclerosis 1990 10 379 385 2344296 (Pubitemid 20178667)
7. Simultaneous effects of the apolipoprotein E polymorphism on apolipoprotein E, apolipoprotein B, and cholesterol metabolism. E Boerwinkle G Utermann, Am J Hum Genet 1988 42 104 112 3337104 (Pubitemid 18081287)
8. The Marshfield Clinic Personalized Medicine Research Project (PMRP): design, methods and recruitment for a large population-based biobank. CA McCarty RA Wilke PF Giampietro SD Wesbrook MD Caldwell, Personalized Med 2005 2 49 79 10.1517/17410541.2.1.49
9. Healthy People 2010 prevalence in the Marshfield Clinic Personalized Medicine Research Project: opportunities for public health genomics research. CA McCarty BN Mukesh PF Giampietro RA Wilke, Personalized Med 2007 4 183 190 10.2217/17410541.4.2.183 (Pubitemid 46845898)
10. The Marshfield Clinic Personalized Medicine Research Project: 2008 scientific update and lessons learned in the first 6 years. CA McCarty P Peissig MD Caldwell RA Wilke, Personalized Med 2008 5 529 541 10.2217/17410541.5.5.529
11. Development of a fingerprinting panel using medically relevant polymorphisms. DS Cross LC Ivacic CA McCarty, BMC Med Genom 2009 2 17 10.1186/1755-8794-2-17
12. Comparative validation of the Block, Willett, and National Cancer Institute food frequency questionnaires. The Eating at America's Table Study. AF Subar FE Thompson V Kipnis D Midthune P Hurwitz S McNutt A McIntosh S Rosenfeld, Am J Epidemiol 2001 154 1089 1099 10.1093/aje/154.12.1089 11744511 (Pubitemid 33140629)
13. A comparison of a food frequency questionnaire with a 24-hour recall for use in an epidemiological cohort study: results from the biomarker-based Observing Protein and Energy Nutrition (OPEN) study. A Schatzkin V Kipnis RJ Carroll D Midthune AF Subar S Bingham DA Schoeller RP Troiano LS Freedman, In J Epidemiol 2003 32 1054 1062 10.1093/ije/dyg264 (Pubitemid 38072695)
14. The National Cancer Institute Diet History Questionnaire: validation of pyramid food servings. AE Millen D Midthune FE Thompson V Kipnis AF Subar, Am J Epidemiol 2005 163 279 288 10.1093/aje/kwj031 16339051 (Pubitemid 43145756)
15. Carotenoid and tocopheral estimates from the NCI Dietary History Questionnaire are valid compared with multiple recalls and serum biomarkers. LB Dixon AF Subar L Wideroff FE Thompson LL Kahle N Potischman, J Nutr 2006 136 3054 3061 17116719 (Pubitemid 44878572)
16. Methodology for adding glycemic load values to the National Cancer Institute Diet History Questionnaire database. A Flood AF Subar SG Hull TP Zimmerman DJA Jenkins A Schatzkin, J Am Diet Assoc 2006 106 393 402 10.1016/j.jada.2005.12.008 16503230 (Pubitemid 43288016)
17. Performance of a food-frequency questionnaire in the US NIH-AARP (National Institutes of Health-American Association of Retired Persons) Diet and Health Study. FE Thompson V Kipnis D Midthune LS Freedman RJ Carroll AF Subar CC Brown MS Butcher T Mouw M Leitzmann A Schatzkin, Publ Health Nutr 2007 11 183 195
18. Dietary intake of ten key nutrients for public health, United States: 1999-2000. JD Wright CY Wang J Kennedy-Stephenson RB Ervin, Adv Data 2003 334 1 4 12743879