• 제목/요약/키워드: single imputation

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정부연구개발비 유용행위 시 제재부가금에 관한 연구 (A Study on the Imposition of Sanctions on Illegal Use of Government R&D Expenses)

  • 노상균;안은숙;현병환
    • 한국산학기술학회논문지
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    • 제19권12호
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    • pp.854-862
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    • 2018
  • 기초연구투자, 성장동력창출 등 미래 성장시장 개척을 위해, 2019년도 정부R&D 예산은 20조원을 돌파하게 되었다. 이처럼 연구개발 투자의 중요성은 높아지고 있으며, 효율적이고 투명한 사업비 집행을 위한 다양한 제도 또한 확대 시행중이다. 그러나 사업비 부정집행 등 연구비 유용행위는 지속적으로 발생되고 있는바, 이에 대해 강력한 제재조치수단인 제재부가금 부과제도가 본격 도입 시행되고 있다. 본 논고에서는 제재부가의 법적근거, 부처 간 법령 비교검토, 부과기준(부과율) 분석을 실시하였으며, 실무 활용에 본 연구의 목적이 있다. 또한 부처 부가금 부과기준의 일원화 개정이후 단일기준을 적용 시행함에 따라, 이에 부가금제도의 변천과정을 고찰하고, 최근 3년간 부과자료를 근거로 구간별 부과현황 등 정밀분석을 실시하였다. 데이터 분석결과 소액 유용행위에 집중 부과되고 있음을 도출하였으며, 이에 상응한 새로운 정책방안을 제시하였다.

Genome-Wide Association Study of Bone Mineral Density in Korean Men

  • Bae, Ye Seul;Im, Sun-Wha;Kang, Mi So;Kim, Jin Hee;Lee, Soon Hang;Cho, Be Long;Park, Jin Ho;Nam, You-Seon;Son, Ho-Young;Yang, San Deok;Sung, Joohon;Oh, Kwang Ho;Yun, Jae Moon;Kim, Jong Il
    • Genomics & Informatics
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    • 제14권2호
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    • pp.62-68
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    • 2016
  • Osteoporosis is a medical condition of global concern, with increasing incidence in both sexes. Bone mineral density (BMD), a highly heritable trait, has been proven a useful diagnostic factor in predicting fracture. Because medical information is lacking about male osteoporotic genetics, we conducted a genome-wide association study of BMD in Korean men. With 1,176 participants, we analyzed 4,414,664 single nucleotide polymorphisms (SNPs) after genomic imputation, and identified five SNPs and three loci correlated with bone density and strength. Multivariate linear regression models were applied to adjust for age and body mass index interference. Rs17124500 ($p=6.42{\times}10^{-7}$), rs34594869 ($p=6.53{\times}10^{-7}$) and rs17124504 ($p=6.53{\times}10^{-7}$) in 14q31.3 and rs140155614 ($p=8.64{\times}10^{-7}$) in 15q25.1 were significantly associated with lumbar spine BMD (LS-BMD), while rs111822233 ($p=6.35{\times}10^{-7}$) was linked with the femur total BMD (FT-BMD). Additionally, we analyzed the relationship between BMD and five genes previously identified in Korean men. Rs61382873 (p = 0.0009) in LRP5, rs9567003 (p = 0.0033) in TNFSF11 and rs9935828 (p = 0.0248) in FOXL1 were observed for LS-BMD. Furthermore, rs33997547 (p = 0.0057) in ZBTB and rs1664496 (p = 0.0012) in MEF2C were found to influence FT-BMD and rs61769193 (p = 0.0114) in ZBTB to influence femur neck BMD. We identified five SNPs and three genomic regions, associated with BMD. The significance of our results lies in the discovery of new loci, while also affirming a previously significant locus, as potential osteoporotic factors in the Korean male population.

Identification of loci affecting teat number by genome-wide association studies on three pig populations

  • Tang, Jianhong;Zhang, Zhiyan;Yang, Bin;Guo, Yuanmei;Ai, Huashui;Long, Yi;Su, Ying;Cui, Leilei;Zhou, Liyu;Wang, Xiaopeng;Zhang, Hui;Wang, Chengbin;Ren, Jun;Huang, Lusheng;Ding, Nengshui
    • Asian-Australasian Journal of Animal Sciences
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    • 제30권1호
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    • pp.1-7
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    • 2017
  • Objective: Three genome-wide association studies (GWAS) and a meta-analysis of GWAS were conducted to explore the genetic mechanisms underlying variation in pig teat number. Methods: We performed three GWAS and a meta-analysis for teat number on three pig populations, including a White Duroc${\times}$Erhualian $F_2$ resource population (n = 1,743), a Chinese Erhualian pig population (n = 320) and a Chinese Sutai pig population (n = 383). Results: We detected 24 single nucleotide polymorphisms (SNPs) that surpassed the genome-wide significant level on Sus Scrofa chromosomes (SSC) 1, 7, and 12 in the $F_2$ resource population, corresponding to four loci for pig teat number. We highlighted vertnin (VRTN) and lysine demethylase 6B (KDM6B) as two interesting candidate genes at the loci on SSC7 and SSC12. No significant associated SNPs were identified in the meta-analysis of GWAS. Conclusion: The results verified the complex genetic architecture of pig teat number. The causative variants for teat number may be different in the three populations