To go over the association between adiponectin (The caseCcontrol research was

To go over the association between adiponectin (The caseCcontrol research was performed with a 1:1 match. CI: 0.531C0.902). Generalized multifactor dimensionality reduction analysis showed that ADIPOQ rs2241766 and rs1501299 could have interaction with red meat intake (rs2241766 and rs1501299 single nucleotide polymorphisms (SNPs) could be associated with colorectal pathogenesis and could have interactions with red meat intake. Both factors impact colorectal cancer occurrence. Introduction Adiponectin is a recently discovered specific fat-derived collagen-like protein secreted by fat cells. Many studies have shown that the serum adiponectin concentration negatively correlates with colorectal cancer occurrence risk (Izadi gene, which spans 16?kb with three exons on chromosome3q27 and has Rabbit Polyclonal to ACTL6A been linked to a susceptibility locus for metabolic syndrome (Suriyaprom gene exon 2+45T>G (rs2241766) and Kenpaullone intron 2+276G>T (rs1501299) polymorphism were reported to be associated with changes in serum adiponectin concentrations (Li rs266729 is associated with colorectal cancer occurrence risk (Pechlivanis genetic polymorphisms with colorectal cancer in the Chinese population remains unclear. In the present study, we used a 1:1 matching caseCcontrol study method to investigate the relationship between rs2241766 and rs1501299 polymorphisms and colorectal cancer occurrence risk. We also studied the interaction between these two single nucleotide polymorphisms (SNPs) and environmental factors in colorectal cancer pathogenesis. Materials and Methods Study subjects A total of 600 cases of primary and new colorectal cancer patients admitted to the First Affiliated Hospital and the Second Affiliated Hospital of Harbin Medical University from July 2008 to May 2013, confirmed by histopathology, were collected and considered the Kenpaullone patient group. The age of the Kenpaullone patient group ranged from 28 to 77 years, among which there were 350 male cases, 250 female cases, 402 colorectal cancer patients, and 198 colon cancer patients. The healthy individuals who received physical examinations in the community health center at the same time were chosen as the control group. The control group had no history of tumor and their ages were matched to the patient group. The gender was matched 1:1. All patients and controls were Han Chinese. Methods Survey content A self-designed questionnaire was used, and the face-to-face survey was administered by trained investigators to collect the following information: (1) demographic characteristics, including age, gender, marital status, education, occupation, annual household income (Yuan), height, and health conditions; (2) diet within 10 years before the disease or the survey, including frequency of foods, such as vegetables, fruits, meat (red meat was defined as pork, beef, and lamb; according to the daily 50C75?g standard recommended by the Chinese dietary pagoda, our study uses 7 times/week as the cutoff), bean products, and pickles; (3) personal hobby and life habits, including smoking (regular smoking was defined as 1 cigarette per day, continuous or cumulative >6 months), drinking (regular drinking was defined as drinking 2 times per week for >6 months), drinking tea (regular drinking tea was defined as drinking tea 1 time daily for >3 months), exercise, and daily sedentary time etc.; and (4) tumor family history. The survey followed the principal of informed consent. Vacuum anticoagulant blood collection tubes were used to collect 2?mL of blood from the cubital vein of study subjects, and the blood samples were stored at ?20C for future use. Our study was approved by the Ethics Committee of the First Affiliated Hospital of Harbin Medical University. Laboratory detection A total of 0.5?mL of anticoagulant blood was used to extract genomic DNA using a DNA extraction kit (Omega Bio-Tek Company, Guangzhou, China). The DNA was stored at ?20C for future use. There are 680 SNPs of the gene listed in the NCBI database (www.ncbi.nlm.nih.gov/snp). Using the Haploview.