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이해인,김재정,박태성,김경아,이종은,조윤신,이종영,한복기,이종극 한국유전체학회 2011 Genomics & informatics Vol.9 No.2
Obesity provokes many serious human diseases, including various cardiovascular diseases and diabetes. Body mass index (BMI) is a highly heritable trait that is broadly used to diagnose obesity. To identify genetic loci associated with obesity in Asians, we conducted a genome-wide association study (GWAS) of a population of Korean adults (n=6,742, age 40∼60 years) and detected six BMI risk loci (TNR, FAM124B, RGS12,NFE2L3, MC4R and FTO) having p<1×10^(-5). However,in the replication study, only melanocortin 4 receptor gene (MC4R ) (rs9946888, p=4.58×10^(-7)) was replicated with marginal significance (p<0.05) in the second cohort (n=5,102, age 40∼60 years). This study indicates that each locus associated with BMI has very weak genetic effect.
다년생 목본작물의 탄소축적 변화량 산정방법론 비교 연구-해외사례를 중심으로
이해인,이용주,이경학,이창배 한국농림기상학회 2023 한국농림기상학회지 Vol.25 No.4
This study analyzed methodologies for estimating carbon stocks of perennial woody crops and the research cases in overseas countries. As a result, we found that Australia, Bulgaria, Canada, and Japan are using the stock-difference method, while Austria, Denmark, and Germany are estimating the change in the carbon stock based on the gain-loss method. In some overseas countries, the researches were conducted on estimating the carbon stock change using image data as tier 3 phase beyond the research developing country-specific factors as tier 2 phase. In South Korea, convergence studies as the third stage were conducted in forestry field, but advanced re search in the agricultural field is at the beg inning stage. Based on these results, we suggest directions for the following four future researches: 1) securing national-specific factors related to emissions and removals in the agricultural field through the development of allometric equation and carbon conversion factors for perennial woody crops to improve the completeness of emission and removals statistics, 2) implementing policy studies on the cultivation area calculation refinement with fruit tree-biomass-based maturity, 3) developing a more advanced estimation technique for perennial woody crops in the agricultural sector using allometric equation and remote sensing techniques based on the agricultural and forestry satellite scheduled to be launched in 2025, and to establish a matrix and monitoring system for perennial woody crop cultivation areas in the agricultural sector, Lastly, 4) estimating soil carbon stocks change, which is currently estimated by treating all agricultural areas as one, by sub-land classification to implement a dynamic carbon cycle model. This study suggests a detailed guideline and advanced methods of carbon stock change calculation for perennial woody crops, which supports 2050 Carbon Neutral Strategy of Ministry of A griculture, Food, and Rural A ffairs and activate related research in agricultural sector.