Sib-pair linkage analysis of complex human diseases has become a method of choice in modern human genetic studies, especially for the diseases with a late age at onset. The traditional parametric methods for sib pair ...Sib-pair linkage analysis of complex human diseases has become a method of choice in modern human genetic studies, especially for the diseases with a late age at onset. The traditional parametric methods for sib pair data need to take the categorical nature of a disease phenotype into account and to explicitly model the non-linear relationship between the discrete phenotype and genetic determinants, or to force their relationship to be linear. The first approach is desirable theoretically, but explicitly modeling the sophisticated genetic architecture of a complex disease can be prohibitively complex and computational demand is high. The second approach, typically a linear regression, relies on a large sample theory and is not appropriate. In this paper, we propose to apply Analysis of Variance (ANOVA) to sib pair linkage analysis of complex human diseases. This approach has avoided building the complicated relationship between the phenotype (the affection group or status of a sib pair) and the underlying genetic determinant (identical-by-decent (IBD) values etc). We have explored its statistical efficiency and properties in sibpair linkage analysis of ordinal complex human diseases via simulation. The simulation suggests that it is a powerful approach for locating genes that presumably control phenotypic expression of complex human diseases.展开更多
Background:Atherosclerosis is a chronic cardiovascular disease of great concern.However,it is difficult to establish a direct connection between conventional small animal models and clinical practice.The pig's gen...Background:Atherosclerosis is a chronic cardiovascular disease of great concern.However,it is difficult to establish a direct connection between conventional small animal models and clinical practice.The pig's genome,physiology,and anatomy reflect human biology better than other laboratory animals,which is crucial for studying the pathogenesis of atherosclerosis.Methods:We used whole-genome sequencing data from nine Bama minipigs to perform a genome-wide linkage analysis,and further used bioinformatic tools to filter and identify underlying candidate genes.Candidate gene function prediction was performed using the online prediction tool STRING 12.0.Immunohistochemistry and immunofluorescence were used to detect the expression of proteins encoded by candidate genes.Results:We mapped differential single nucleotide polymorphisms(SNPs)to genes and obtained a total of 102 differential genes,then we used GO and KEGG pathway enrichment analysis to identify four candidate genes,including SLA-1,SLA-2,SLA-3,and TAP2.nsSNPs cause changes in the primary and tertiary structures of SLA-I and TAP2 proteins,the primary structures of these two proteins have undergone amino acid changes,and the tertiary structures also show slight changes.In addition,immunohistochemistry and immunofluorescence results showed that the expression changes of TAP2 protein in coronary arteries showed a trend of increasing from the middle layer to the inner layer.Conclusions:We have identified SLA-I and TAP2 as potential susceptibility genes of atherosclerosis,highlighting the importance of antigen processing and immune response in atherogenesis.展开更多
This paper presents the work carried out to evaluate the dynamic performance of the Hybrid Variable Reluctance Motor (HVRM). The fourth-order Runge-Kutta integration algorithm was employed to solve the equations of th...This paper presents the work carried out to evaluate the dynamic performance of the Hybrid Variable Reluctance Motor (HVRM). The fourth-order Runge-Kutta integration algorithm was employed to solve the equations of the dynamic model, in conjunction with the three-dimensional finite element method. The 3D numerical data was calculated using Comsol Multiphysics, which accounts for the nonlinearity of the ferromagnetic material and the 3D nature of the HVRM. The outcomes of this study are precise and accurately predict the dynamic behaviour of the HVRM in terms of rotor position response, rotational speed and torque. The distinctive contribution of this work lies in the 3D numerical modelling of the HVRM and the subsequent evaluation and analysis of its dynamic operation. Analytical and numerical 2D studies are less resource-intensive and time-consuming, and are more straightforward and rapid to analyse and interpret. However, they are constrained in their capacity to examine spatial, volumetric interactions and intricate dynamics such as flux studies where three 3D effects cannot be disregarded, winding end effects and the configuration and positioning of the interposed permanent magnet.展开更多
Cellulose is the most abundant organic macromolecule in nature and is renewable,degradable,and biocompatible.The structure of native cellulose has not yet been completely elucidated.Part of cellulose is tightly combin...Cellulose is the most abundant organic macromolecule in nature and is renewable,degradable,and biocompatible.The structure of native cellulose has not yet been completely elucidated.Part of cellulose is tightly combined with lignin macromolecules through chemical bonds to form cellulose-lignin complexes(CLC).The existence of the CLC structure inhibits the complete separation of cellulose from lignocellulosic material,which not only increases the consumption of chemicals in the cooking process and causes environmental pollution,but also makes the cellulose subject to certain degradation during the deep delignification process.Therefore,elucidation of the relationship between the cellulose-lignin connection structure and performance is of great significance for efficient separation of cellulose.This article reviews the current research status of CLC and discusses the research progress regarding its biodegradation characteristics.展开更多
It is a famous result of Kempe that a lillkage can be designed togenerate any given plane algebraic curve. In this paper, Kempe's result is improvedto give a precise algorithm for generating Kempe linkage. We prov...It is a famous result of Kempe that a lillkage can be designed togenerate any given plane algebraic curve. In this paper, Kempe's result is improvedto give a precise algorithm for generating Kempe linkage. We proved that for analgebraic plane curve of degree n, Kempe linkage uses at most O(n4) links. Effortsto implement a program which may generate Kempe linkage and simulation of thegeneration process of the plane curves are presellted in the paper.展开更多
文摘Sib-pair linkage analysis of complex human diseases has become a method of choice in modern human genetic studies, especially for the diseases with a late age at onset. The traditional parametric methods for sib pair data need to take the categorical nature of a disease phenotype into account and to explicitly model the non-linear relationship between the discrete phenotype and genetic determinants, or to force their relationship to be linear. The first approach is desirable theoretically, but explicitly modeling the sophisticated genetic architecture of a complex disease can be prohibitively complex and computational demand is high. The second approach, typically a linear regression, relies on a large sample theory and is not appropriate. In this paper, we propose to apply Analysis of Variance (ANOVA) to sib pair linkage analysis of complex human diseases. This approach has avoided building the complicated relationship between the phenotype (the affection group or status of a sib pair) and the underlying genetic determinant (identical-by-decent (IBD) values etc). We have explored its statistical efficiency and properties in sibpair linkage analysis of ordinal complex human diseases via simulation. The simulation suggests that it is a powerful approach for locating genes that presumably control phenotypic expression of complex human diseases.
基金supported by the Special Scientific Research Project of Army Laboratory Animals(No.SYDW[2020]01)National Natural Science Foundation of ChinaNo.32370568。
文摘Background:Atherosclerosis is a chronic cardiovascular disease of great concern.However,it is difficult to establish a direct connection between conventional small animal models and clinical practice.The pig's genome,physiology,and anatomy reflect human biology better than other laboratory animals,which is crucial for studying the pathogenesis of atherosclerosis.Methods:We used whole-genome sequencing data from nine Bama minipigs to perform a genome-wide linkage analysis,and further used bioinformatic tools to filter and identify underlying candidate genes.Candidate gene function prediction was performed using the online prediction tool STRING 12.0.Immunohistochemistry and immunofluorescence were used to detect the expression of proteins encoded by candidate genes.Results:We mapped differential single nucleotide polymorphisms(SNPs)to genes and obtained a total of 102 differential genes,then we used GO and KEGG pathway enrichment analysis to identify four candidate genes,including SLA-1,SLA-2,SLA-3,and TAP2.nsSNPs cause changes in the primary and tertiary structures of SLA-I and TAP2 proteins,the primary structures of these two proteins have undergone amino acid changes,and the tertiary structures also show slight changes.In addition,immunohistochemistry and immunofluorescence results showed that the expression changes of TAP2 protein in coronary arteries showed a trend of increasing from the middle layer to the inner layer.Conclusions:We have identified SLA-I and TAP2 as potential susceptibility genes of atherosclerosis,highlighting the importance of antigen processing and immune response in atherogenesis.
文摘This paper presents the work carried out to evaluate the dynamic performance of the Hybrid Variable Reluctance Motor (HVRM). The fourth-order Runge-Kutta integration algorithm was employed to solve the equations of the dynamic model, in conjunction with the three-dimensional finite element method. The 3D numerical data was calculated using Comsol Multiphysics, which accounts for the nonlinearity of the ferromagnetic material and the 3D nature of the HVRM. The outcomes of this study are precise and accurately predict the dynamic behaviour of the HVRM in terms of rotor position response, rotational speed and torque. The distinctive contribution of this work lies in the 3D numerical modelling of the HVRM and the subsequent evaluation and analysis of its dynamic operation. Analytical and numerical 2D studies are less resource-intensive and time-consuming, and are more straightforward and rapid to analyse and interpret. However, they are constrained in their capacity to examine spatial, volumetric interactions and intricate dynamics such as flux studies where three 3D effects cannot be disregarded, winding end effects and the configuration and positioning of the interposed permanent magnet.
基金The authors are grateful for the support of the National Natural Science Foundation of China(No.21878070)Hubei Provincial Universities Outstanding Young and Middle-aged Technological Innovation Team Project(No.T201205).
文摘Cellulose is the most abundant organic macromolecule in nature and is renewable,degradable,and biocompatible.The structure of native cellulose has not yet been completely elucidated.Part of cellulose is tightly combined with lignin macromolecules through chemical bonds to form cellulose-lignin complexes(CLC).The existence of the CLC structure inhibits the complete separation of cellulose from lignocellulosic material,which not only increases the consumption of chemicals in the cooking process and causes environmental pollution,but also makes the cellulose subject to certain degradation during the deep delignification process.Therefore,elucidation of the relationship between the cellulose-lignin connection structure and performance is of great significance for efficient separation of cellulose.This article reviews the current research status of CLC and discusses the research progress regarding its biodegradation characteristics.
文摘It is a famous result of Kempe that a lillkage can be designed togenerate any given plane algebraic curve. In this paper, Kempe's result is improvedto give a precise algorithm for generating Kempe linkage. We proved that for analgebraic plane curve of degree n, Kempe linkage uses at most O(n4) links. Effortsto implement a program which may generate Kempe linkage and simulation of thegeneration process of the plane curves are presellted in the paper.
