AI Article Synopsis

  • The study confirms previous findings on genetic variations (SNPs) that affect erythrocyte traits in a general Japanese population, specifically looking at the red blood cell count, hemoglobin, and hematocrit levels.
  • Researchers analyzed data from nearly 5,000 participants aged 35 to 69 years to assess the association of seven selected SNPs with these erythrocyte traits.
  • Notably, they discovered significant interactions between a particular SNP (TERT rs2736100) and smoking habits, impacting hemoglobin and hematocrit levels.

Article Abstract

Erythrocyte count and volume are the commonly used hematological indices for anemia that change in various diseases. To date, however, only one study ever exists that addressed erythrocyte trait-associated single nucleotide polymorphisms (SNPs) in a Japanese population. Because that study was performed in patients with various diseases, we confirmed the reported associations in a general population. Participants in the current study were from the Shizuoka component of the Japan Multi-Institutional Collaborative Cohort Study, which included 4971 men and women aged 35 to 69years who were recruited between 2006 and 2007. We analyzed the association of seven selected SNPs with the following erythrocyte traits: red blood cell count, hemoglobin (Hb) and hematocrit (Ht) levels, mean corpuscular volume, mean corpuscular hemoglobin, and mean corpuscular hemoglobin concentration. The erythrocyte traits were regressed on a number of minor alleles of selected SNPs. Then we compared our findings with those from a genome-wide association study performed in a Japanese population. We replicated the association of ABO rs495828, PDGFRA-KIT rs218237, USP49-MED20-BSYL-CCND3 rs3218097, C6orf182-CD164 rs11966072, TERT rs2736100, and TMPRSS6 rs5756504 with erythrocyte traits in our independent Japanese population. In addition, we found a significant interaction between TERT rs2736100 and smoking habit that affected Hb and Ht levels.

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Source
http://dx.doi.org/10.1016/j.gene.2017.11.031DOI Listing

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