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Human genetics. --- Linkage (Genetics) --- Linkage (Genetics). --- Liaison génétique --- Genetic Linkage. --- 575.116 --- Genetic Linkage Analysis --- Linkage, Genetic --- Analyses, Genetic Linkage --- Analysis, Genetic Linkage --- Genetic Linkage Analyses --- Linkage Analyses, Genetic --- Linkage Analysis, Genetic --- Gene Order --- Synteny --- Genotyping Techniques --- Gene linkage. Chromosome map --- 575.116 Gene linkage. Chromosome map --- Liaison génétique --- Human genetics --- Genetic Linkage --- Genetics --- Heredity, Human --- Human biology --- Physical anthropology --- Heredity --- Chromosomes --- Génétique humaine
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As researchers continue to make enormous progress in mapping disease genes, exciting, novel, and complex analyses have emerged. In Linkage Disequilibrium and Association Mapping: Analysis and Applications, scientists from around the world, who are leaders in this field, contribute their vast experience and expertise to produce a comprehensive and fascinating text for researchers and clinicians alike. The volume comprises four general sections: the first presents an overview and historical basis of the subject. The second section considers the developing methodology and recent findings from studies which have characterized the genome-wide linkage disequilibrium structure in enormous detail. The following section examines all aspects of disease association mapping methodology, and the final two chapters review the early successes in mapping genes involved in two of the most important human diseases: asthma and type 2 diabetes.
Linkage Disequilibrium. --- Chromosome Mapping. --- Genomics --- Gene mapping. --- Génomique --- Cartes chromosomiques --- Statistical methods. --- Méthodes statistiques --- Gene mapping --- Linkage Disequilibrium --- Chromosome Mapping --- Statistical methods --- Electronic books. -- local. --- Genomics -- Statistical methods. --- Genetic Techniques --- Genetic Linkage --- Investigative Techniques --- Genetic Phenomena --- Phenomena and Processes --- Analytical, Diagnostic and Therapeutic Techniques and Equipment --- Genetics --- Biology --- Health & Biological Sciences --- Chromosome mapping --- Genetic mapping --- Genome mapping --- Linkage mapping (Genetics) --- Mapping, Gene --- Genome research --- Genomes --- Research --- Molecular genetics --- Technique --- Human genetics. --- Cytology. --- Human Genetics. --- Cell Biology. --- Cell biology --- Cellular biology --- Cells --- Cytologists --- Heredity, Human --- Human biology --- Physical anthropology --- Genomics - Statistical methods
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The discipline of statistical genetics is highly computational. Be it exact computational methods, simulation based, or a hybrid of the two, computational packages are indispensable tools and constant companions of researchers in the field. This handbook is intended to provide human geneticists and other biomedical researchers with guidance on selections of appropriate computational methods and software packages for their specific genetic problems. It may also be used by students and other learners as a reference in conjunction with a more theoretical and/or methodologically oriented text book. This book tries to strike a balance between methodological expositions and practical guidelines for software selections. Wherever possible, comparisons among competing methods and software are made to highlight the relative advantages and disadvantage of the approaches so that the readers can make informed choices to best match their specific needs.
Electronic books. -- local. --- Human genetics -- Data processing. --- Human genetics -- Statistical methods. --- Human genetics --- Databases, Genetic --- Genetic Techniques --- Data Interpretation, Statistical --- Software --- Genetic Linkage --- Computer Simulation --- Computing Methodologies --- Databases, Factual --- Statistics as Topic --- Genetic Phenomena --- Decision Support Techniques --- Investigative Techniques --- Analytical, Diagnostic and Therapeutic Techniques and Equipment --- Information Science --- Epidemiologic Methods --- Databases as Topic --- Health Care Evaluation Mechanisms --- Medical Informatics Applications --- Phenomena and Processes --- Information Systems --- Medical Informatics --- Quality of Health Care --- Public Health --- Information Storage and Retrieval --- Health Care Quality, Access, and Evaluation --- Environment and Public Health --- Health Care --- Genetics --- Pathology --- Medicine --- Biology --- Health & Biological Sciences --- Data processing --- Statistical methods --- Data processing. --- Statistical methods. --- Medicine. --- Human genetics. --- Bioinformatics. --- Life sciences. --- Biomathematics. --- Statistics. --- Biomedicine. --- Human Genetics. --- Life Sciences, general. --- Statistics for Life Sciences, Medicine, Health Sciences. --- Computational Biology/Bioinformatics. --- Genetics and Population Dynamics. --- Heredity, Human --- Human biology --- Physical anthropology
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In this Special Issue of Genes entitled “Genetic Conditions Affecting the Skeleton: Congenital, Idiopathic Scoliosis and Arthrogryposis”, evidence is presented that suggests that congenital, idiopathic scoliosis, and arthrogryposis share similar overlapping, but also distinct, etiopathogenic mechanisms, including connective tissue and neuromuscular mechanisms. Congenital scoliosis (CS) is defined by the presence of an abnormal spinal curvature, due to an underlying vertebral bony malformation (VM). Idiopathic scoliosis (IS) is defined by the presence of an abnormal structural spinal curvature of ≥10 degrees in the sagittal plane, in the absence of an underlying VM. Arthrogryposis is defined by the presence of congenital contractures in two or more joints of the appendicular skeleton. All three conditions have complex genetic causes. This Special Issue highlights the complex nature of these conditions and current concepts in our approach to better understand their genetics.
Research & information: general --- Biology, life sciences --- Genetics (non-medical) --- spinal curvatures --- scoliosis --- idiopathic --- DNA methylation --- pyrosequencing --- estrogen receptor 1 --- ESR1 --- scoliosis progression --- adolescent idiopathic scoliosis --- idiopathic scoliosis --- exome sequencing --- spine --- polygenic --- variants --- musculoskeletal disease --- cytoskeleton --- extracellular matrix --- contracture --- arthrogryposis --- congenital --- POC5 --- cilia --- genetics --- spine deformity --- genetic predisposition --- complex trait --- model animal --- genome wide association study --- genetic linkage study --- Amyoplasia --- DECIPHER (DatabasE of genomiC variation and Phenotype in Humans using Ensemble Resources) --- CNV (copy number variant) --- DA (distal arthrogryposis) --- IPA (ingenuity pathway analysis) --- HPO (human phenotype ontology) --- akinesia --- MYOD --- IGF2 --- FGFR1 (Fibroblast growth factor receptor 1) --- genetic variations --- congenital scoliosis --- monozygotic twin --- epigenome-wide association study --- bone --- discordant --- curve severity --- differentially methylated region --- congenital vertebral malformation --- copy number variant --- CNV --- CHRNG --- distal arthrogryposis type 8 --- Escobar --- multiple pterygium syndrome --- MYH3 --- protein tyrosine kinase 7 (PTK7) --- whole exome sequencing --- n/a
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Since the 1980s, agriculture and plant breeding have changed with the development of molecular marker technology. In recent decades, different types of molecular markers have been used for different purposes: mapping, marker-assisted selection, characterization of genetic resources, etc. These have produced effective genotyping, but the results have been costly and time-consuming due to the small number of markers that could be tested simultaneously. Recent advances in molecular marker technologies such as the development of high-throughput genotyping platforms, genotyping by sequencing, and the release of the genome sequences of major crop plants have opened new possibilities for advancing crop improvement. This Special Issue collects 16 research studies, including the application of molecular markers in 11 crop species, from the generation of linkage maps and diversity studies to the application of marker-assisted selection and genomic prediction.
Research & information: general --- Biology, life sciences --- durum wheat --- landraces --- marker-trait association --- root system architecture --- sugarcane --- parental line --- population structure --- plant breeding --- genetic diversity --- simple sequence repeats (SSR) --- Persea americana --- SMRT sequencing --- simple sequence repeat --- genetic relationship --- flavonoid biosynthesis --- fruit coloration --- marker-assisted selection --- microsatellites --- Rubus --- gene prioritization --- linkage disequilibrium --- tropical maize --- brown rice recovery --- milled rice recovery --- head rice recovery --- milling yield traits --- QTL mapping --- rice (Oryza sativa L.) --- tetraploid potato --- SNP markers --- SLAF-seq technology --- high-density genetic linkage map --- genome wide association study --- GWAS water use --- agronomic traits --- MTAs --- candidate genes --- TKW --- sedimentation volume --- SDS --- YR --- drought stress --- association mapping --- QTL hotspot --- seminal root --- gene pyramiding --- aroma --- QTL --- chromosome --- selection --- introgression line --- maize (Zea mays L.) --- Striga resistance/tolerance --- F2:3 biparental mapping --- Marker-assisted selection --- persimmon --- sex determination --- fruit astringency --- molecular markers --- genomics --- genomic selection --- genomic prediction --- whole genome regression --- grain quality --- near infra-red spectroscopy --- cereal crop --- sorghum --- multi-trait --- Triticum aestivum --- mapping population --- leaf rust --- stem rust --- pathogen races --- disease resistance --- apricot --- MAS --- breeding --- MATH --- PPV resistance --- agarose --- ParPMC --- ParPMC2-del --- high resolution melting --- ISBP markers --- drought --- MQTL --- wheat variability --- crop breeding --- genetic maps --- GWAS --- marker assisted selection --- DNA sequencing --- durum wheat --- landraces --- marker-trait association --- root system architecture --- sugarcane --- parental line --- population structure --- plant breeding --- genetic diversity --- simple sequence repeats (SSR) --- Persea americana --- SMRT sequencing --- simple sequence repeat --- genetic relationship --- flavonoid biosynthesis --- fruit coloration --- marker-assisted selection --- microsatellites --- Rubus --- gene prioritization --- linkage disequilibrium --- tropical maize --- brown rice recovery --- milled rice recovery --- head rice recovery --- milling yield traits --- QTL mapping --- rice (Oryza sativa L.) --- tetraploid potato --- SNP markers --- SLAF-seq technology --- high-density genetic linkage map --- genome wide association study --- GWAS water use --- agronomic traits --- MTAs --- candidate genes --- TKW --- sedimentation volume --- SDS --- YR --- drought stress --- association mapping --- QTL hotspot --- seminal root --- gene pyramiding --- aroma --- QTL --- chromosome --- selection --- introgression line --- maize (Zea mays L.) --- Striga resistance/tolerance --- F2:3 biparental mapping --- Marker-assisted selection --- persimmon --- sex determination --- fruit astringency --- molecular markers --- genomics --- genomic selection --- genomic prediction --- whole genome regression --- grain quality --- near infra-red spectroscopy --- cereal crop --- sorghum --- multi-trait --- Triticum aestivum --- mapping population --- leaf rust --- stem rust --- pathogen races --- disease resistance --- apricot --- MAS --- breeding --- MATH --- PPV resistance --- agarose --- ParPMC --- ParPMC2-del --- high resolution melting --- ISBP markers --- drought --- MQTL --- wheat variability --- crop breeding --- genetic maps --- GWAS --- marker assisted selection --- DNA sequencing
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Since the 1980s, agriculture and plant breeding have changed with the development of molecular marker technology. In recent decades, different types of molecular markers have been used for different purposes: mapping, marker-assisted selection, characterization of genetic resources, etc. These have produced effective genotyping, but the results have been costly and time-consuming due to the small number of markers that could be tested simultaneously. Recent advances in molecular marker technologies such as the development of high-throughput genotyping platforms, genotyping by sequencing, and the release of the genome sequences of major crop plants have opened new possibilities for advancing crop improvement. This Special Issue collects 16 research studies, including the application of molecular markers in 11 crop species, from the generation of linkage maps and diversity studies to the application of marker-assisted selection and genomic prediction.
durum wheat --- landraces --- marker-trait association --- root system architecture --- sugarcane --- parental line --- population structure --- plant breeding --- genetic diversity --- simple sequence repeats (SSR) --- Persea americana --- SMRT sequencing --- simple sequence repeat --- genetic relationship --- flavonoid biosynthesis --- fruit coloration --- marker-assisted selection --- microsatellites --- Rubus --- gene prioritization --- linkage disequilibrium --- tropical maize --- brown rice recovery --- milled rice recovery --- head rice recovery --- milling yield traits --- QTL mapping --- rice (Oryza sativa L.) --- tetraploid potato --- SNP markers --- SLAF-seq technology --- high-density genetic linkage map --- genome wide association study --- GWAS water use --- agronomic traits --- MTAs --- candidate genes --- TKW --- sedimentation volume --- SDS --- YR --- drought stress --- association mapping --- QTL hotspot --- seminal root --- gene pyramiding --- aroma --- QTL --- chromosome --- selection --- introgression line --- maize (Zea mays L.) --- Striga resistance/tolerance --- F2:3 biparental mapping --- Marker-assisted selection --- persimmon --- sex determination --- fruit astringency --- molecular markers --- genomics --- genomic selection --- genomic prediction --- whole genome regression --- grain quality --- near infra-red spectroscopy --- cereal crop --- sorghum --- multi-trait --- Triticum aestivum --- mapping population --- leaf rust --- stem rust --- pathogen races --- disease resistance --- apricot --- MAS --- breeding --- MATH --- PPV resistance --- agarose --- ParPMC --- ParPMC2-del --- high resolution melting --- ISBP markers --- drought --- MQTL --- wheat variability --- crop breeding --- genetic maps --- GWAS --- marker assisted selection --- DNA sequencing
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