23 research outputs found

    Genetic variation in vitamin D-related genes and risk of colorectal cancer in African Americans

    Get PDF
    PurposeDisparities in both colorectal cancer (CRC) incidence and survival impact African Americans (AAs) more than other US ethnic groups. Because vitamin D is thought to protect against CRC and AAs have lower serum vitamin D levels, genetic variants that modulate the levels of active hormone in the tissues could explain some of the cancer health disparity. Consequently, we hypothesized that genetic variants in vitamin D-related genes are associated with CRC risk.MethodsTo test this hypothesis, we studied 39 potentially functional single-nucleotide polymorphisms (SNPs) in eight genes (CYP2R1, CYP3A4, CYP24A1, CYP27A1, CYP27B1, GC, DHCR7, and VDR) in 961 AA CRC cases and 838 healthy AA controls from Chicago and North Carolina. We tested whether SNPs are associated with CRC incidence using logistic regression models to calculate p values, odds ratios, and 95% confidence intervals. In the logistic regression, we used a log-additive genetic model and used age, gender, and percent West African ancestry, which we estimated with the program STRUCTURE, as covariates in the models.ResultsA nominally significant association was detected between CRC and the SNP rs12794714 in the vitamin D 25-hydroxylase gene CYP2R1 (p=0.019), a SNP that has previously been associated with serum vitamin D levels. Two SNPs, rs16847024 in the GC gene and rs6022990 in the CYP24A1 gene, were nominally associated with left-sided CRC (p=0.015 and p=0.018, respectively).ConclusionsOur results strongly suggest that genetic variation in vitamin D-related genes could affect CRC susceptibility in AAs. Electronic supplementary materialThe online version of this article (doi:10.1007/s10552-014-0361-y) contains supplementary material, which is available to authorized users

    Relative accuracy of body adiposity index and relative fat mass in participants with and without down syndrome

    No full text
    Background/Objectives: The body adiposity index (BAI) and relative fat mass (RFM) are anthropometric measures developed to estimate body composition (%Fat). There is limited research validating these methods of body composition assessment in adults with Down syndrome (DS). The aim of this study was to examine the accuracy of the BAI and RFM in a sample of adults with- and without DS. We hypothesize that the RFM would provide greater accuracy than the BAI when estimating %Fat. Subjects/Methods: BAI and RFM were assessed in a sample of adults (n = 235, 50.2% female, 20.0% DS, 23.1 ± 6.7 years). %Fat assessed using dual-energy X-ray absorptiometry served as the criterion method of body composition. Between-group differences were assessed using a two-way (SEX × DS) analysis of variance. Results: BAI overestimated %Fat in men without DS, but underestimated %Fat in women without DS (4.1 ± 4.5%Fat vs. −3.5 ± 4.6%Fat, respectively, p \u3c 0.001). BAI overestimated %Fat in men and women with DS (4.7 ± 7.8%Fat vs. 0.8 ± 7.5%Fat, respectively, p = 0.090). RFM slightly overestimated %Fat in male and female participants without DS, and did not vary by sex (0.9 ± 4.0%Fat vs. 0.2 ± 4.2%Fat, respectively, p = 0.248). RFM underestimated %Fat in men and women with DS, with no differences observed between sexes (−2.1 ± 5.3%Fat vs. −2.2 ± 6.9%Fat, respectively, p = 0.953). Conclusions: The BAI and RFM can be used to estimate body composition in individuals with- and without DS, however, the RFM yields greater accuracy and is recommended when more advanced methods of body composition assessment are unavailable or create unwanted participant burden
    corecore