Recently, livestock breeding is more focused on the meat quality rather than meat quantity, mainly due to the improvement of consumers' income. Among the meat quality traits, meat color is one of very important traits because meat color is the first selection criterion from the consumers in the market. Most of the economically important traits have continuous variations and these are called quantitative traits. the genomic locations affecting these traits are called quantitative trait locus (QTL), which is mostly controlled by many genes having small effects. In this study, the recent QTL and candidate gene studies were reviewed in order to meet the consumers' demand for the future market. In the chicken QTL database, three traits are related with meat colors, namely breast color (Bco), meat color (Mco), drip loss (DL) and pH. The identified number of QTLs is 33 from 13 chromosomal regions. In these QTL regions, 14 candidate genes were identified; Eight for meat color (APP, BCMO1, COL1A2, FTO, KPNA2, PSMD12, G0S2, FTSJ3), two for drip loss (AGRP, FTO) and four for pH (GALNT1, PCDH19, DIAPH1, SPP2). These QTLs and candidate genes need to be confirmed and fine mapping is ultimately needed for identification of causative variations. The recently developed chicken resource population using Korean native chicken can be used for the improvement of meat quality traits, which increase the value that needed in the chicken industry. ์์ก์ ์์ ์ก์ ํ์ผ๋ก์จ ์๋น์์ ์ ํ์ ๋ฐ์ ๋ ๊ฐ์ฅ ๋จผ์ ์ ํ์ ๊ธฐ์ค์ด ๋๋ ๊ด๋ฅ ํ์ง์ ํ๋์ด๊ธฐ ๋๋ฌธ์, ์ก ์์ ์ ํ์ ์ํ์ฑ๊ณผ ํ๋งค์ ์ง๊ฒฐ๋์ด ๊ฒฝ์ ์ ์ผ๋ก ๋งค์ฐ ์ค ์ํ ํ์ง์ด๋ผ๊ณ ๋ณผ ์ ์๋ค (Mancini and Hunt, 2005). ๊ธฐ์กด ์ ์ก์์ ๋ํ ์ฐ๊ตฌ๋ ์์ก์ ์๋ถ์ด ํฌํจ๋ ์ ๋์ธ ๋ณด์ ๋ ฅ์ ์ํฅ์ ๋ฐ๊ณ , ์ด๋ฌํ ๋ณด์๋ ฅ์ ์ฐจ์ด๋ ์ฌํ๊ฐ์ง์์ ์ผ ์ด๋๋ pH ๋ณํ์๋ ๋ฐ์ ํ ๊ด๋ จ์ด ์๋ ๊ฒ์ผ๋ก ๋ณด๊ณ ๋ ๋ฐ ์๋ค (Fletcher, 1999;Qiao et al., 2001;Huff-Lonergan and Lonergan, 2005). ๋ํ, ์ด๋ฌํ ๊ฒฐ๊ณผ๋ ์๋ถ์ด ๋ง๊ณ ์ฐฝ๋ฐฑํ ์๊น์ PSE ์ก์ด๋, ์๋ถ์ด ์ ๊ณ ์ด๋์ด ์๊น์ DFD ์ก๊ณผ์ association์ด ๋ณด๊ณ ๋๊ธฐ๋ ํ์๋ค (Fletcher, 1999;Barbut et al., 2008). ์ด๋ฌํ ์ฐ๊ตฌ๋ ์ค๋์ ๋ถํฐ ๋ญ์ ํฌํจํ ์์ ๋ผ์ง์ ์ฐ๊ตฌ์์ ์์ก์ ํ์ง์ ๊ฐ์ ํ๊ธฐ ์ํด ํ์ง๊ฐ์ ๊ด๋ จ์ฑ์ ํ์ธํ๊ธฐ๋ ํ์๊ณ , ์ต๊ทผ์๋ ๋ง์ ์์ ๋ง์ปค๋ฅผ ์ด์ฉํ genome-wide mapping ์ฐ๊ตฌ๊ฐ ๋ฐ์ ํ๋ฉด์ ์ก์์ ์์ธ ์ ์ ์ ๋ฅผ ํ์ํ๋ ์ฐ๊ตฌ๊ฐ ์ํ๋๊ธฐ ์์ํ๋ค (Groenen et al., 2009;Gu et al., 2011).Genome-wide QTL mapping(GWL)๊ณผ Genome-wide association(GWA) ์ฐ๊ตฌ๋ ์ง์ ํํํ์ง์ด ์๋ ์์ ํํํ์ง ์ ๋ํด์ ์ ์ ์ฒด ์ ๋ฐ์ ๊ฑธ์ณ ๊ณ ๋ฃจ ๋ถํฌ๋์ด ์๋ ์ ์ ์