Main-effect QTL, epistatic effects and their interactions with environment are important genetic components of quantitativetraits. In this study, we analyzed the QTL, epistatic effects and QTL by environment interacti...Main-effect QTL, epistatic effects and their interactions with environment are important genetic components of quantitativetraits. In this study, we analyzed the QTL, epistatic effects and QTL by environment interactions (QE) underlying plantheight and heading date, using a doubled-haploid ( DH) population consisting of 190 lines from the cross between anindica parent Zhenshan 97 and a japonica parent Wuyujing 2, and tested in two-year replicated field trials. A geneticlinkage map with 179 SSR (simple sequence repeat) marker loci was constructed. A mixed linear model approach wasapplied to detect QTL, digenic interactions and QEs for the two traits. In total, 20 main-effect QTLs, 9 digenic interactionsinvolving 18 loci, and 5 QTL by environment interactions were found to be responsible for the two traits. No interactionswere detected between the digenic interaction and environment. The amounts of variations explained by QTLs of maineffect were 53.9% for plant height and 57.8% for heading date, larger than that explained by epistasis and QEs. However,the epistasis and QE interactions sometimes accounted for a significant part of phenotypic variation and should not bedisregarded.展开更多
[目的]探讨腓骨头高度(fibular head height,FHH)与膝关节骨关节炎(knee osteoarthritis,KOA)的发生与发展的相关性。[方法]本院2015年6月—2021年6月收治的116例患者纳入本研究,获取照片间隔时长平均(31.0±2.9)个月,对两个时间点...[目的]探讨腓骨头高度(fibular head height,FHH)与膝关节骨关节炎(knee osteoarthritis,KOA)的发生与发展的相关性。[方法]本院2015年6月—2021年6月收治的116例患者纳入本研究,获取照片间隔时长平均(31.0±2.9)个月,对两个时间点资料进行比较,行两个时间点资料比较,对K-L分级与其他指标进行两两相关分析,以FHH值为因变量与其他因素进行多元线性逐步回归分析,探讨FHH与膝骨关节炎的相关性。[结果]与初次测量比,末次测量时年龄[(60.5±6.8)岁,(63.1±7.0)岁,P<0.001]、WOMAC评分[(34.0±6.2),(47.7±6.3),P<0.001]、膝关节K-L分级[例,I/II/III/IV,(0/89/22/5),(0/0/22/94),P<0.001]、FTA[(178.6±3.7)°,(181.8±5.3)°,P<0.001]、JLCA[(2.8±1.1)°,(4.4±1.7)°,P<0.001]均显著增加,HSS评分[(72.2±8.2),(56.5±7.8),P<0.001]、膝伸屈ROM[(109.7±7.8)°,(97.6±6.1)°,P<0.001]、MPTA[(86.5±1.8)°,(85.0±2.4)°,P<0.001]、AMTP[(8.7±4.2)mm,(5.2±4.9)mm,P<0.001]、FHH[(10.3±3.5)mm,(7.9±3.8)mm,P<0.001]、FHTPA[(7.5±2.2)°,(4.7±2.0)°,P<0.001]均显著减小。两两相关分析表明,K-L分级与年龄、WOMAC评分、FTA、MPTA、JLCA呈显著正相关(P<0.05),K-L分级与HSS评分、AMTP、ROM、FHH、FHTPA呈显著负相关(P<0.05)。多元逐步回归分析显示,FHH与JLCA、WOMAC呈显著负相关(P<0.05),与ROM、AMTP呈显著正相关(P<0.05)。[结论]本研究通过连续影像学测量直观证实了KOA患者病情进展与FHH有关,FHH可以作为KOA X线测量及评价指标。展开更多
基金We gratefully acknowledge Prof.Zhu Jun for kind pro-V1sion of software QTLMapper 1.0.The work was in part supported by the National High Tech R&D Pro-gram of China(863 Program)the National Natural Sci-ence Foundation of China and the National Program on Key Basic Research Project of China(973 Program).
文摘Main-effect QTL, epistatic effects and their interactions with environment are important genetic components of quantitativetraits. In this study, we analyzed the QTL, epistatic effects and QTL by environment interactions (QE) underlying plantheight and heading date, using a doubled-haploid ( DH) population consisting of 190 lines from the cross between anindica parent Zhenshan 97 and a japonica parent Wuyujing 2, and tested in two-year replicated field trials. A geneticlinkage map with 179 SSR (simple sequence repeat) marker loci was constructed. A mixed linear model approach wasapplied to detect QTL, digenic interactions and QEs for the two traits. In total, 20 main-effect QTLs, 9 digenic interactionsinvolving 18 loci, and 5 QTL by environment interactions were found to be responsible for the two traits. No interactionswere detected between the digenic interaction and environment. The amounts of variations explained by QTLs of maineffect were 53.9% for plant height and 57.8% for heading date, larger than that explained by epistasis and QEs. However,the epistasis and QE interactions sometimes accounted for a significant part of phenotypic variation and should not bedisregarded.
文摘[目的]探讨腓骨头高度(fibular head height,FHH)与膝关节骨关节炎(knee osteoarthritis,KOA)的发生与发展的相关性。[方法]本院2015年6月—2021年6月收治的116例患者纳入本研究,获取照片间隔时长平均(31.0±2.9)个月,对两个时间点资料进行比较,行两个时间点资料比较,对K-L分级与其他指标进行两两相关分析,以FHH值为因变量与其他因素进行多元线性逐步回归分析,探讨FHH与膝骨关节炎的相关性。[结果]与初次测量比,末次测量时年龄[(60.5±6.8)岁,(63.1±7.0)岁,P<0.001]、WOMAC评分[(34.0±6.2),(47.7±6.3),P<0.001]、膝关节K-L分级[例,I/II/III/IV,(0/89/22/5),(0/0/22/94),P<0.001]、FTA[(178.6±3.7)°,(181.8±5.3)°,P<0.001]、JLCA[(2.8±1.1)°,(4.4±1.7)°,P<0.001]均显著增加,HSS评分[(72.2±8.2),(56.5±7.8),P<0.001]、膝伸屈ROM[(109.7±7.8)°,(97.6±6.1)°,P<0.001]、MPTA[(86.5±1.8)°,(85.0±2.4)°,P<0.001]、AMTP[(8.7±4.2)mm,(5.2±4.9)mm,P<0.001]、FHH[(10.3±3.5)mm,(7.9±3.8)mm,P<0.001]、FHTPA[(7.5±2.2)°,(4.7±2.0)°,P<0.001]均显著减小。两两相关分析表明,K-L分级与年龄、WOMAC评分、FTA、MPTA、JLCA呈显著正相关(P<0.05),K-L分级与HSS评分、AMTP、ROM、FHH、FHTPA呈显著负相关(P<0.05)。多元逐步回归分析显示,FHH与JLCA、WOMAC呈显著负相关(P<0.05),与ROM、AMTP呈显著正相关(P<0.05)。[结论]本研究通过连续影像学测量直观证实了KOA患者病情进展与FHH有关,FHH可以作为KOA X线测量及评价指标。
