检索结果-南通市图书馆

Biomedical and Environmental Sciences 2012年第3期25卷 305-310页

作者： ZHANG Ling Xia SUN Ying LIANG Yu LI Kui CHEN Yong GUSANGLAMU WANG Jian Institute of Tuberculosis The 309th Hospital of Chinese People's Liberation Army Beijing 100091 China Beijing Institute of genomics of Chinese Academy of Sciences Airport Industry B6 Beijing 101300 China' 3. The ThePeople's Hospital of the Tibet Autonomous Region Lasha 850000 Tibet China

Objective To investigate the relationship between SNPs reported in previous studies and the blood lipid level in the Tibetan population. Methods Random cluster sampling was employed in 5 areas （Lhasa, Shigatse, Shannan, Nagqu, and Nyingchi）. The levels of cholesterol （TC）, triglyceride {TG）, high-density lipoprotein cholesterol （HDL-C）, and low-density lipoprotein cholesterol （LDL-C） from blood samples were determined and DNA was extracted for genotyping and statistical analyses. Results Among 1 318 subjects aged 〉18 years enrolled in this study, 367 had dyslipidemia with a prevalence of 27.8%, of whom dyslipidemia males accounted for 33.1% and dyslipidemia females - 24.5%. Results of the correlation analysis between all SNPs and TG showed that the SNPs of rs714052 and rs964184 were related to the serum TG level. Subjects with rs714052 CC genotype had the lowest TG level, and the highest TG level was found in those with rs714052 TT genotype. The serum TG level in individuals with TC genotype lied in between the above two population groups. Subjects with rs964184 CC genotype had the lowest TG level, and the highest serum TG level was noted in those with rs964184 GG genotype. Conclusion Several SNPs were found to be related to the serum TG level in the Tibetan population. The APOA5 gene and MLXlPL gene may be closely associated with the serum TG level in this ethnic population group.

关键词： Dyslipidemia SNP Tibetan Population

在线全文

学校读者我要写书评

暂无评论

基于文献数据挖掘分析的焦虑症遗传网络研究

国际精神病学杂志 2018年第3期45卷 385-387,399页

作者：廖节凤 Chris Cheadle 曹红宝 Vindhya Rao 安徽省铜陵市第三人民医院精神科铜陵244000 Department of biology product Elsevier Inc. Department of Rheumatology Johns Hopkins School of Medicine unit on statistical genomics National Institute of Mental HealthNIH.

背景近年来,众多研究报导了数百种与焦虑症有关的基因,为系统研究焦虑症的基因网络提供了研究基础。方法从Res Net 11 Mammalian数据库中提取了焦虑症-基因的关系数据,包含592个焦虑症基因。通过基因富集分析、子网络富集分析、网络连... 详细信息

背景近年来,众多研究报导了数百种与焦虑症有关的基因,为系统研究焦虑症的基因网络提供了研究基础。方法从Res Net 11 Mammalian数据库中提取了焦虑症-基因的关系数据,包含592个焦虑症基因。通过基因富集分析、子网络富集分析、网络连通性分析和网络度量分析研究网络属性并选择关键节点。另外,通过采集焦虑症-药物和药物-基因的关系数据,在小分子/药物水平对焦虑症进行病理研究。结果 592中的526个基因富集在100个焦虑症通路(P<1e-15),并显示出较强的基因间相互关联性。综合报导频率,网络中心性和功能多样性的分析,6个基因被推为首选焦虑症基因,包括DRD2、ADORA2A、IL1B、CRH、AVP和CRHR1。此外,538个基因和548个药物强相关,间接支持焦虑症与这些基因之间的关系。结论焦虑症的遗传原因与大量基因构成的遗传网络有关。基因网络以及本研究中提供的文献和量度指标为进一步的生物/遗传学研究奠定了基础。

关键词：焦虑症基因富集分析子网络富集分析基因关联分析

fGWAS:An R package for genome-wide association analysis with longitudinal phenotypes

在线全文

学校读者我要写书评

暂无评论

Journal of Genetics and genomics 2018年第7期45卷 411-413页

作者： Zhong Wang Nating Wang Rongling Wu Zuoheng Wang College of Biological Sciences and Technology Beijing Forestry University Baker Institute for Animal Health College of Veterinary MedicineCornell University Center for Computational Biology Beijing Forestry University Center for statistical Genetics Department of Public Health SciencesPennsylvania State College of Medicine Department of Biostatistics Yale School of Public Health

The past two decades have witnessed a revolution in identifying genetic risk factors underlying diseases and complex traits using genome-wide association studies （GWAS）（Risch and Merikangas, 1996; Hirschhom and Daly, 2005; Altshuler et al., 2008）. Together with advanced high-throughput technologies for genotyping and sequencing, GWAS have discovered thousands of susceptibility loci for various traits （Welter et al., 2014）.

关键词： fGWAS An R package for genome-wide association analysis longitudinal phenotypes

A comparison of genomic selection methods for breeding value prediction

在线全文

学校读者我要写书评

暂无评论

Science Bulletin 2015年第10期60卷 925-935,I0007页

作者：王欣杨泽峰徐辰武 Jiangsu Provincial Key Laboratory of Crop Genetics and Physiology Co-Innovation Center for Modern Production Technology of Grain Crops Key Laboratory of Plant Functional Genomics of Ministry of Education Yangzhou University

Recent advances in molecular genetics techniques have made dense marker maps available, and the prediction of breeding value at the genome level has been employed in genetics research. However, an increasingly large number of markers raise both statistical and computational issues in genomic selection （GS）, and many methods have been developed for genomic prediction to address these problems, including ridge regression-best linear unbiased prediction （RR-BLUP）, genomic best linear unbiased prediction, BayesA, BayesB, BayesCπ, and Bayesian LASSO. In this paper, these methods were compared regarding inference under different conditions, using real data from a wheat data set and simulated scenarios with a small number of quantitative trait loci （QTL）（20）, a moderate number of QTL （60, 180） and an extreme number of QTL （540）. This study showed that the genetic architecture of a trait should be fully considered when a GS method is chosen. If a small amount of loci had a large effect on a trait, great differences were found between the predictive ability of various methods and BayesCπ was recommended. Although there was almost no significant difference between the predictive ability of BayesCπ andBayesB, BayesCπ is more feasible than BayesB for real data analysis. If a trait was controlled by a moderate number of genes, the absolute differences between the various methods were small, but BayesA was also found to be the most accurate method. Furthermore, BayesA was widely adaptable and could perform well with different numbers of QTL. If a trait was controlled by an extreme number of minor genes, almost no significant differences were detected between the predictive ability of various methods, but RR-BLUP slightly outperformed the others in both simulated scenarios and real data analysis, thus demonstrating its robustness and indicating that it was quite effective in this case.

关键词： Prediction Genomic selection Breeding value Comparison Predictive ability

MRUNet:A two-stage segmentation model for small insect targets in complex environments

在线全文

学校读者我要写书评

暂无评论

Journal of Integrative Agriculture 2023年第4期22卷 1117-1130页

作者： WANG Fu-kuan HUANG Yi-qi HUANG Zhao-cheng SHEN Hao HUANG Cong QIAO Xi QIAN Wan-qiang College of Mechanical Engineering Guangxi UniversityNanning 530004P.R.China Lingnan Guangdong Laboratory of Modern Agriculture Genome Analysis Laboratory of the Ministry of Agriculture and Rural AffairsAgricultural Genomics Institute at ShenzhenChinese Academy of Agricultural SciencesShenzhen 518120P.R.China Wuzhou Product Quality Inspection Institute Wuzhou 543000P.R.China

Online automated identification of farmland pests is an important auxiliary means of pest *** practical applications,the online insect identification system is often unable to locate and identify the target pest accurately due to factors such as small target size,high similarity between species and complex *** facilitate the identification of insect larvae,a two-stage segmentation method,MRUNet was proposed in this ***,MRUNet borrows the practice of object detection before semantic segmentation from Mask R-CNN and then uses an improved lightweight UNet to perform the semantic *** reliably evaluate the segmentation results of the models,statistical methods were introduced to measure the stability of the performance of the models among samples in addition to the evaluation indicators commonly used for semantic *** experimental results showed that this two-stage image segmentation strategy is effective in dealing with small targets in complex *** with existing state-of-the-art semantic segmentation methods,MRUNet shows better stability and detail processing ability under the same *** study provides a reliable reference for the automated identification of insect larvae.

关键词： insect larvae deep learning semantic segmentation object detection

Pathway-based Analysis Tools for Complex Diseases: A Review

在线全文

学校读者我要写书评

暂无评论

genomics, Proteomics & Bioinformatics 2014年第5期12卷 210-220页

作者： Lv Jin Xiao-Yu Zuo Wei-Yang Su Xiao-Lei Zhao Man-Qiong Yuan Li-Zhen Han Xiang Zhao Ye-Da Chen Shao-Qi Rao Institute for Medical Systems Biology and Department of Medical Statistics and Epidemiology School of Public HealthGuangdong Medical College Department of Medical Statistics and Epidemiology School of Public Health Sun Yat-Sen University Community Health Service Management Center of Panyu District Department of statistical Sciences School of Mathematics and Computational Science Sun Yat-Sen University

Genetic studies are traditionally based on single-gene analysis. The use of these analyses can pose tremendous challenges for elucidating complicated genetic interplays involved in complex human diseases. Modern pathway-based analysis provides a technique, which allows a comprehen- sive understanding of the molecular mechanisms underlying complex diseases. Extensive studies uti- lizing the methods and applications for pathway-based analysis have significantly advanced our capacity to explore large-scale omics data, which has rapidly accumulated in biomedical fields. This article is a comprehensive review of the pathway-based analysis methods the powerful methods with the potential to uncover the biological depths of the complex diseases. The general concepts and procedures for the pathway-based analysis methods are introduced and then, a comprehensive review of the major approaches for this analysis is presented. In addition, a list of available path- way-based analysis software and databases is provided. Finally, future directions and challenges for the methodological development and applications of pathway-based analysis techniques are dis- cussed. This review will provide a useful guide to dissect complex diseases.

关键词： Complex disease Pathway-based analysisAlgorithms Software and databases

Allelic frequency distributions of 21 non-combined DNA index system STR loci in a Russian ethnic minority group from Inner Mongolia,China

在线全文

学校读者我要写书评

暂无评论

Journal of Zhejiang University-Science B(Biomedicine & Biotechnology) 2013年第6期14卷 533-540页

作者： Hong-dan WANG Chun-mei SHEN Wen-juan LIU Yu-dang ZHANG Guang YANG Jiang-wei YAN Hai-xia QIN Bo-feng ZHU School of Medicine Xi'an Jiaotong University People's Hospital of Zhengzhou University Medical Genetic Institute of Henan Province People's Hospital of Henan Province Blood Center of Shaanxi Province Vascular Biology Center Georgia Health Sciences UniversityAugustaGA 30912USA Beijing Institute of genomics Chinese Academy of Science Department of Internal Medicine Morehouse School of MedicineAtlantaGA 30303USA

We studied the allelic frequency distributions and statistical forensic parameters of 21 new short tandem repeat(STR)loci and the amelogenin locus,which are not included in the combined DNA index system(CODIS),in a Russian ethnic minority group from the Inner Mongolia Autonomous Region,China.A total of 114 bloodstain samples from unrelated individuals were extracted and co-amplified with four fluorescence-labeled primers in a multiplex polymerase chain reaction(PCR)*** capillary electrophoresis,the PCR products of the 21 STR loci were separated and genotyped.A total of 161 alleles were observed in the Russian ethnic minority group,and corresponding allelic frequencies ranged from 0.0044 to *** 21 non-CODIS STR loci of the Russian ethnic minority group were characterized by high genetic diversity and therefore may be useful for elucidating the population's genetic background,for individual identification,and for paternity testing in forensic practice.

关键词： Short tandem repeat(STR) Russian population Genetic polymorphisms

Identification of stable internal control genes for accurate normalization of real-time quantitative PCR data in testicular tissue from two breeds of cattle

在线全文

学校读者我要写书评

暂无评论

Asian pacific Journal of Reproduction 2020年第5期9卷 247-255页

作者： Pradeep Nag Ankur Sharma Elango Kamaraj Arumugam Kumaresan Tirtha Kumar Datta Ayyasamy Manimaran Nilendu Paul Sakthivel Jeyakumar Kerekoppa P.Ramesha Theriogenology Laboratory Veterinary Gynaecologyand ObstetricsSouthern Regional Station of ICAR-National Dairy Research InstituteBengaluru–560030 KarnatakaIndia Animal genomics Laboratory ICAR-National Dairy Research InstituteKarnal–132001 HaryanaIndia Southern Regional Station of ICAR-National Dairy Research Institute Bengaluru–560030 KarnatakaIndia

Objective:To assess the stability of 10 candidate internal control genes(ICGs),namely GAPDH,ACTB,RPL23,RPS15A,ATPSF1,GLUT5,HMBS,ATP2B4,PPIA,and BRP to normalize the transcriptional data from testes samples of Zebu and crossbred ***:Total RNA was isolated from testicular tissue of Zebu and crossbred bulls(n=6 each)between 2-8 years of *** was synthesized,and the quantitative real-time polymerase chain reaction(PCR)was *** cycle threshold values were used for the analysis of the stability of *** different statistical algorithms:geNorm,Normfinder,BestKeeper,and RefFinder,were used to assess the stability of these ***:ATPSF1,HMBS,PPIA,and RPS15A were the most reliable and stable ICGs for Zebu testes,and ATPSF1,RPL23,and PPIA for crossbred ***:A panel of stable ICGs(ATPSF1,HMBS,PPIA,RPS15A for Zebu and ATPSF1,RPL23,and PPIA for crossbred)for normalization of gene expression data in testes samples can be helpful for researchers to conduct functional genomics studies at the testicular level in cattle bulls.

关键词： Cattle bulls Gene expression Internal control genes Normalization qPCR Testis

The Utility of Voided Urine Samples as a Proxy for the Vaginal Microbiome and for the Prediction of Bacterial Vaginosis

维普期刊数据库评论

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Infectious Microbes & Diseases 2022年第4期4卷 149-156页

作者： Bin Zhu Christopher Diachok Laahirie Edupuganti David J.Edwards Jeffrey R.Donowitz Katherine Tossas Andrey Matveyev Katherine M.Spaine Vladimir Lee Myrna G.Serrano Gregory A.Buck Department of Microbiology and Immunology School of MedicineVirginia Commonwealth UniversityRichmondVirginiaUSA Center for Microbiome Engineering and Data Analysis Virginia Commonwealth UniversityRichmondVirginiaUSA Department of statistical Sciences and Operations Research College of Humanities and SciencesVirginia Commonwealth UniversityRichmondVirginiaUSA Department of Pediatric Infectious Diseases Children's Hospital of Richmond at Virginia Commonwealth UniversityRichmondVirginiaUSA Department of Infectious Diseases and International Health University of VirginiaCharlottesvilleVirginiaUSA Department of Health Behavior and Policy School of MedicineVirginia Commonwealth UniversityRichmondVirginiaUSA Department of Family Medicine and Population Health School of MedicineVirginia Commonwealth UniversityRichmondVirginiaUSA Computer Science Department College of EngineeringVirginia Commonwealth UniversityRichmondVirginiaUSA genomics Core Virginia Commonwealth UniversityRichmondVirginiaUSA

Recent work has shown that the vaginal microbiome exerts a strong impact on women's gynecological ***,collection of vaginal specimens is invasive and requires previous clinical training or the involvement of a trained *** contrast,urine sample collection is routine and noninvasive and does not require involvement of a *** sought to compare the vaginal and urogenital microbiomes to assess the utility of voided urine samples as a proxy for the vaginal *** urogenital and vaginal samples were collected from pregnant women and characterized by 16S rRNA taxonomic *** examined diversities and compositions of paired urogenital and vaginal microbiomes using five discrete strategies to explore the similarity between the vaginal and urogenital microbiomes.A strategy comparing the paired urogenital and vaginal microbiomes in which taxa were assigned using the STIRRUPS database and urine-specific taxa were removed showed no significant difference in diversity and composition between the paired urogenital and vaginal ***,the relative abundances of common vaginal taxa were linearly correlated with those in the paired *** similarities suggest that voided urine samples could represent a noninvasive protocol for accurate profiling of the vaginalmicrobiome with likely clinical ***,a machine learning model was established in which the voided urine microbiome was compared favorably to the vaginal microbiome in predicting bacterial vaginosis.

关键词： 16S rRNA vaginal microbiome urine microbiome bacterial vaginosis reproductive and gynecologic health