111 related articles for article (PubMed ID: 27238835)
1. Validation of the Korean Genome Epidemiology Study Risk Score to Predict Incident Hypertension in a Large Nationwide Korean Cohort.
Lim NK; Lee JW; Park HY
Circ J; 2016 Jun; 80(7):1578-82. PubMed ID: 27238835
[TBL] [Abstract][Full Text] [Related]
2. Predicting the risk of incident hypertension in a Korean middle-aged population: Korean genome and epidemiology study.
Lim NK; Son KH; Lee KS; Park HY; Cho MC
J Clin Hypertens (Greenwich); 2013 May; 15(5):344-9. PubMed ID: 23614850
[TBL] [Abstract][Full Text] [Related]
3. The Role of Genetic Risk Score in Predicting the Risk of Hypertension in the Korean population: Korean Genome and Epidemiology Study.
Lim NK; Lee JY; Lee JY; Park HY; Cho MC
PLoS One; 2015; 10(6):e0131603. PubMed ID: 26110887
[TBL] [Abstract][Full Text] [Related]
4. Development and validation of hypertension prediction models: The Korean Genome and Epidemiology Study_Cardiovascular Disease Association Study (KoGES_CAVAS).
Namgung HK; Woo HW; Shin J; Shin MH; Koh SB; Kim HC; Kim YM; Kim MK
J Hum Hypertens; 2023 Mar; 37(3):205-212. PubMed ID: 35181762
[TBL] [Abstract][Full Text] [Related]
5. A coronary heart disease prediction model: the Korean Heart Study.
Jee SH; Jang Y; Oh DJ; Oh BH; Lee SH; Park SW; Seung KB; Mok Y; Jung KJ; Kimm H; Yun YD; Baek SJ; Lee DC; Choi SH; Kim MJ; Sung J; Cho B; Kim ES; Yu BY; Lee TY; Kim JS; Lee YJ; Oh JK; Kim SH; Park JK; Koh SB; Park SB; Lee SY; Yoo CI; Kim MC; Kim HK; Park JS; Kim HC; Lee GJ; Woodward M
BMJ Open; 2014 May; 4(5):e005025. PubMed ID: 24848088
[TBL] [Abstract][Full Text] [Related]
6. A risk score for predicting the incidence of type 2 diabetes in a middle-aged Korean cohort: the Korean genome and epidemiology study.
Lim NK; Park SH; Choi SJ; Lee KS; Park HY
Circ J; 2012; 76(8):1904-10. PubMed ID: 22640983
[TBL] [Abstract][Full Text] [Related]
7. Predicting risk of type 2 diabetes mellitus in Korean adults aged 40-69 by integrating clinical and genetic factors.
Kim SH; Lee ES; Yoo J; Kim Y
Prim Care Diabetes; 2019 Feb; 13(1):3-10. PubMed ID: 30477970
[TBL] [Abstract][Full Text] [Related]
8. Validation of Risk Prediction Models for Atherosclerotic Cardiovascular Disease in a Prospective Korean Community-Based Cohort.
Bae JH; Moon MK; Oh S; Koo BK; Cho NH; Lee MK
Diabetes Metab J; 2020 Jun; 44(3):458-469. PubMed ID: 31950769
[TBL] [Abstract][Full Text] [Related]
9. Genome-wide interaction study of single-nucleotide polymorphisms and alcohol consumption on blood pressure: The Ansan and Ansung study of the Korean Genome and Epidemiology Study (KoGES).
Kim Y; Kim J; Lim JE; Oh B; Won S; Kim MK
Genet Epidemiol; 2020 Apr; 44(3):300-310. PubMed ID: 32048322
[TBL] [Abstract][Full Text] [Related]
10. Prospective study of serum uric acid levels and incident metabolic syndrome in a Korean rural cohort.
Yadav D; Lee ES; Kim HM; Choi E; Lee EY; Lim JS; Ahn SV; Koh SB; Chung CH
Atherosclerosis; 2015 Jul; 241(1):271-7. PubMed ID: 25957887
[TBL] [Abstract][Full Text] [Related]
11. Neutrophil lymphocyte ratio significantly improves the Framingham risk score in prediction of coronary heart disease mortality: insights from the National Health and Nutrition Examination Survey-III.
Shah N; Parikh V; Patel N; Patel N; Badheka A; Deshmukh A; Rathod A; Lafferty J
Int J Cardiol; 2014 Feb; 171(3):390-7. PubMed ID: 24388541
[TBL] [Abstract][Full Text] [Related]
12. Usefulness of blood pressure rise prior to exercise stress testing to predict the risk of future hypertension in normotensive Korean men.
Jae SY; Kurl S; Laukkanen JA; Choi YH; Park WH; Bunsawat K; Heffernan KS; Fernhall B; Kang SM; Park JB
Am J Cardiol; 2014 Oct; 114(8):1238-42. PubMed ID: 25152425
[TBL] [Abstract][Full Text] [Related]
13. Revised Framingham Stroke Risk Score, Nontraditional Risk Markers, and Incident Stroke in a Multiethnic Cohort.
Flueckiger P; Longstreth W; Herrington D; Yeboah J
Stroke; 2018 Feb; 49(2):363-369. PubMed ID: 29311270
[TBL] [Abstract][Full Text] [Related]
14. Hypertension is an independent risk factor for type 2 diabetes: the Korean genome and epidemiology study.
Kim MJ; Lim NK; Choi SJ; Park HY
Hypertens Res; 2015 Nov; 38(11):783-9. PubMed ID: 26178151
[TBL] [Abstract][Full Text] [Related]
15. Cohort Profile: The Korean Genome and Epidemiology Study (KoGES) Consortium.
Kim Y; Han BG;
Int J Epidemiol; 2017 Apr; 46(2):e20. PubMed ID: 27085081
[No Abstract] [Full Text] [Related]
16. Development of a Polygenic Risk Score for BMI to Assess the Genetic Susceptibility to Obesity and Related Diseases in the Korean Population.
Yoon N; Cho YS
Int J Mol Sci; 2023 Jul; 24(14):. PubMed ID: 37511320
[TBL] [Abstract][Full Text] [Related]
17. Prediction of blood pressure changes over time and incidence of hypertension by a genetic risk score in Swedes.
Fava C; Sjögren M; Montagnana M; Danese E; Almgren P; Engström G; Nilsson P; Hedblad B; Guidi GC; Minuz P; Melander O
Hypertension; 2013 Feb; 61(2):319-26. PubMed ID: 23232644
[TBL] [Abstract][Full Text] [Related]
18. Effect of 'rice' pattern on high blood pressure by gender and obesity: using the community-based KoGES cohort.
Han Y; Kang D; Lee SA
Public Health Nutr; 2020 Feb; 23(2):275-285. PubMed ID: 31280733
[TBL] [Abstract][Full Text] [Related]
19. Framingham stroke risk function in a large population-based cohort of elderly people: the 3C study.
Bineau S; Dufouil C; Helmer C; Ritchie K; Empana JP; Ducimetière P; Alpérovitch A; Bousser MG; Tzourio C
Stroke; 2009 May; 40(5):1564-70. PubMed ID: 19286599
[TBL] [Abstract][Full Text] [Related]
20. Development of a Korean Fracture Risk Score (KFRS) for Predicting Osteoporotic Fracture Risk: Analysis of Data from the Korean National Health Insurance Service.
Kim HY; Jang EJ; Park B; Kim TY; Shin SA; Ha YC; Jang S
PLoS One; 2016; 11(7):e0158918. PubMed ID: 27399597
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
