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40대 이상 농촌 및 중소도시 성인의 식품섭취 패턴 (Pattern)과 질환별 유병위험도 : 한국인유전체역학조사사업 일부 대상자에 대해
안윤진(Ahn Younjhin),박윤주(Park Yun-Ju),박선주(Park Seon-Joo),민해숙(Min Haesook),곽혜경(Kwak Hye-Kyoung),오경수(Oh Kyung-Soo),박찬(Park Chan) 韓國營養學會 2007 Journal of Nutrition and Health Vol.40 No.3
Recently, dietary pattern analysis was emerged as an approach to examine the relationships between diet and risk of chronic diseases. This study was to identify groups with population who report similar dietary pattern in Korean genome epidemiology study (KoGES) and association with several chronic diseases. The cohort participants living in Ansung and Ansan (Gyeonggi province) were totally 10,038. Among those, 6,873 subjects with no missing values in food frequency questionnaire were included in this analysis. After combining 103 food items into 17 food groups, 4 dietary factors were obtained by factor analysis based on their weights. Factor 1 showed high factor loadings in vegetables, mushrooms, meats, fish, beverages, and oriental-cereals. Factor 2 had high factor loadings in vegetables, fruits, fish, and factor 3 had high factor loadings in cereal-oriental, cerial-western and snacks. Factor 4 showed positive high factor loadings in rice and Kimchi and negative factor loadings in mushrooms and milk and dairy products. Using factor scores of four factors, subjects were classified into 3 clusters by K-means clustering. We named those 'Rice and Kimchi eating' group, 'Contented eating' group, and 'Healthy and light eating' group depending on their eating characteristics. 'Rice and Kimchi eating' group showed high prevalence in men, farmers and 60s. 'Contented eating' group and 'Healthy and light eating' group had high prevalence in women, people living in urban area (Ansan Citizen), with high-school education and above, and a monthly income of one million won and more. 'Contented eating' group appeared lower distribution proportion in the sixties and 'Healthy and light eating' group does higher in the fifties. 'Contented eating' versus 'Rice and Kimchi eating', odds ratio for hypertension, diabetes, metabolic syndrome and obesity significantly decreased after adjusting age and sex (OR = 0.64, 0.73, and 0.85 respectively, 95% CI). Although our results were from a cross-sectional study, these imply that the dietary patterns were related to diseases. (Korean J Nutr 2007; 40(3): 259~269)
한국인 유전체 역학 정보의 효율적 관리를 위한 정보 관리 시스템
양은주(Eun Joo Yang),안윤진(Younjhin Ahn),이지은(Ji Eun Lee),김규찬(Kuchan Kimm) 한국정보과학회 2003 한국정보과학회 학술발표논문집 Vol.30 No.1A
본 논문에서는 경기도 안성과 안산 지역에 설치된 유전체역학센터에서 조사 지역에 거주하는 45세 이상 69세 이차의 성인을 대상으로 고혈압, 당뇨, 골다공증, 천식, 비만 등 총국민의료비용에서 큰 부분을 차지하는 4-5개의 중요 만성질환을 주요 분석 분야로 진행중에 있는 한국인 유전체 역학조사사업으로부터 산출되는 임상검사 및 역학정보를 입력 · 관리하는 시스템에 대해 소개하고 있다. 검진 대상자를 접수하는 접수자 및 정보 관리자는 본 시스템을 통해 검진대상자의 개인식별 정보, 생활습관 정보 등과 같은 설문 정보와 임상 검사 정보를 입력 후 이에 대한 조회, 관리, 집계현황 출력, 데이터 백업 등을 수행할 수 있다.
열량 및 열량영양소 섭취량과 관련된 유전자 변이에 대한 전장유전체 연관성 분석연구
백인경(Baik Inkyung),안윤진(Ahn Younjhin),이승구(Lee Seung Ku),김소리울(Kim Soriwul),한복기(Han Bok-Ghee),신철(Shin Chol) 韓國營養學會 2010 Journal of Nutrition and Health Vol.43 No.4
There has been no genome-wide association study (GWAS) for macronutrient intake as a quantitative trait. To explore genetic loci associated with total calorie and macronutrient intake, genome-wide association data of autosomal single nucleotide polymorphisms (SNPs) from Korean adults were analyzed. We conducted a GWAS in 3,690 men and women aged 40 to 60 years from an urban population-based cohort. At the baseline examination (June 18, 2001 through January 29, 2003), DNA samples of the study subjects were collected and analyzed for genotyping. The information of average daily consumption of total calorie, carbohydrate, protein, and fat was obtained from a semi-quantitative food frequency questionnaire and transformed by natural logarithm for analyses after adjustment of calorie intake. Using multivariate linear regression analysis adjusted for age, sex, and height, we tested for 352,021 SNPs and found weak associations, which do not reach genome-wide association significance, with calorie and macronutrient intake. However, a number of SNPs were found to have potential associations with macronutrient intake; in particular, signals in SORBS1 and those in PRKCB1 were likely associated with carbohydrate and fat intake, respectively. We observed an inverse association between the minor allele of the SNPs in these genes and the amount of consumption of carbohydrate or fat. Our GWAS identified loci and minor alleles weakly associated with macronutrient intake. Because SORBS1 and PRKCB1 are reportedly associated with the metabolism of glucose and lipid as well as with obesity-related diseases, further investigations on biological and functional roles of polymorphism of these genes in the relation to macronutrient intake are warranted.