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Dietary Iron and Heme Iron Consumption, Genetic Susceptibility, and Risk of Crohn's Disease and Ulcerative Colitis.

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TLDR
The suggestive finding that the association between dietary heme iron intake and risk of UC may be modified by a coding variant in Fc&ggr;RIIA gene warrants additional investigation.
Abstract
Background Dietary iron and heme, likely through their effect on gut commensal bacteria and colonic barrier function, have been shown to modulate colonic inflammation in animal models of colitis. Nonetheless, the link between dietary total and heme iron and risk of Crohn's disease (CD) and ulcerative colitis (UC) has not been previously explored. Methods We conducted a prospective cohort study of 165,331 U.S. women enrolled in the Nurses' Health Study and Nurses' Health Study II. Dietary information was collected using a validated food frequency questionnaire at baseline (1984) and updated every 2 to 4 years. Self-reported CD and UC diagnoses were confirmed through medical records review. We used Cox proportional hazard models to calculate hazard ratios and 95% confidence intervals while adjusting for potential confounders. In a case-control study nested within these cohorts, we evaluated the interaction between single-nucleotide polymorphisms associated with genome-wide susceptibility to CD and UC and dietary total and heme iron intake on risk of CD and UC using logistic regression modeling. Results Through 2011, over 3,038,049 person-years of follow-up, we documented 261 incident cases of CD and 321 incident cases of UC. Dietary heme iron was nonsignificantly associated with increased risk of UC (Ptrend = 0.12). This association seemed to be modified by the UC susceptibility locus, rs1801274, a coding variant in the FcγRIIA gene (Pinteraction = 7.00E-05). In contrast, there was no association between dietary heme iron and risk of CD (Ptrend = 0.67). We also did not observe an association between total dietary intake of iron and risk of CD or UC (All Ptrend > 0.35). Conclusion In 2 large prospective cohort studies, dietary total and heme iron were not associated with risk of CD or UC. Our suggestive finding that the association between dietary heme iron intake and risk of UC may be modified by a coding variant in FcγRIIA gene warrants additional investigation.

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Citations
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The role of diet in the aetiopathogenesis of inflammatory bowel disease

TL;DR: This Review discusses the recent epidemiological, gene–environment interaction, microbiome and animal studies that have explored the relationship between diet and the risk of IBD and highlights the limitations of these prior studies.
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Red Meat Intake and Risk of Breast Cancer Among Premenopausal Women

TL;DR: Higher red meat intake may be a risk factor for ER+/PR+ breast cancer among premenopausal women and higher intakes of several individual red meat items were also strongly related to elevated risk of ER+.
References
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Journal ArticleDOI

Host-microbe interactions have shaped the genetic architecture of inflammatory bowel disease

Luke Jostins, +105 more
- 01 Nov 2012 - 
TL;DR: A meta-analysis of Crohn’s disease and ulcerative colitis genome-wide association scans is undertaken, followed by extensive validation of significant findings, with a combined total of more than 75,000 cases and controls.
Journal ArticleDOI

Reproducibility and validity of a semiquantitative food frequency questionnaire

TL;DR: Data indicate that a simple self-administered dietary questionnaire can provide useful information about individual nutrient intakes over a one-year period.
Journal ArticleDOI

Reproducibility and Validity of an Expanded Self-Administered Semiquantitative Food Frequency Questionnaire among Male Health Professionals

TL;DR: The authors assessed the reproducibility and validity of an expanded 131-item semiquantitative food frequency questionnaire used in a prospective study among 51,529 men and found that it provides a useful measure of intake for many nutrients over a one-year period.
Journal ArticleDOI

Gene–environment interactions in human diseases

TL;DR: Suggestions are made for improvements in the study of study design, sample size and genotyping technology, which influence the analysis and interpretation of observed gene–environment interactions.
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