| 1 | Cross-Sectional study | Lee et al. (2021) | PRS1) | BMI2) | KARE3)CAVAS4)HEXA5) | 8,4449,30017,350 | PRS and aPRS were significantly associated with BMI and obesity, but no significant interaction was observed with total calorie or macronutrient intake. |
| 2 | Cross-sectional & Longitudinal study | Yoon & Cho (2023) | PRS | Obesity Metabolic traits | KARECAVASHEXA | 13,504(longitudinal study 5,400) | The developed PRS effectively predicted obesity and related metabolic diseases. Longitudinal analysis showed that a higher PRS was associated with an increased incidence of dyslipidemia and hypo-HDL cholesterolemia. |
| 3 | Cross-sectional | Lee et al. (2010) | FTOrs9939609 | BMI | KARE | 8,842 | Common FTO variants were associated with BMI and overweight in adults. A significant interaction was observed between rs9939609 and physical activity, whereas no association with dietary fat intake was found in adults. |
| 4 | Case-control | Doo & Kim (2011) | ESR1rs1884051 | BMI | KARE | 3,039 | The ESR1 rs1884051 polymorphism was significantly associated with obesity-related variables in men. This association was modified by total energy and plant protein intake; specifically, the minor T allele was associated with lower BMI in the high plant protein intake group. |
| 5 | Cross-sectional study | Jin et al. (2013) | SPRY1rs923982 | %BF6)%AbF7)BMIWHR8) | KARE | 3,013 | SPRY1 gene polymorphisms and the TGCC haplotype were significantly associated with increased body fat percentage, abdominal fat, and osteoporosis risk in Korean women. |
| 6 | Case-control | Doo et al. (2015) | APOBrs1469513 | BMI obesity | KoGES | 6,470 | The association between the APOB rs1469513 polymorphism and obesity was significantly modified by dietary fat intake; specifically, high fat intake increased obesity risk in minor G allele carriers. |
| 7 | Cross-sectional | Kim et al. (2016) | NPYrs16149 | BMIWC9)VAT10) | KARE | 1,468 | Common NPY polymorphisms were not directly associated with obesity but showed significant interactions with psychosocial stress on BMI, waist circumference, and visceral adipose tissue (VAT). |
| 8 | Cross-sectional | Choi (2021) | CD36rs1527479 | Dietary intake | KARE | 6,619 | The CD36 polymorphism was associated with cruciferous vegetable intake in obese males; those with the risk genotype consumed significantly less vegetables, while no association was found with fat intake. |
| 9 | Cross-sectional | Goh & Choi (2022) | FTOrs1121980 | BMIDietary intake | KARE | 6,262 | The FTO rs1121980 variation was associated with a preference for high-fat foods (e.g., coffee creamer, snacks), and these preferences varied by sex and BMI. |
| 10 | Longitudinal | Lee et al. (2024) | PDGFCrs4691380TREHrs2276064 | Longitudinal BMI change | KARE | 3,074 | Identified specific genetic variants (e.g., PDGFC, TREH) significantly associated with long-term BMI changes and obesity risk in Korean adults. |
| 11 | Cross-sectional | Kwon et al. (2022) | CAB39rs6722579CPQrs59465035 | Abdominal obesity | KoGES | 50,808 | Specific genetic variants interacted with nutrient intake to influence obesity risk; CAB39 variant increased abdominal obesity risk with high fat intake, while CPQ variant decreased risk with high vitamin C intake. |