Faculty Opinions recommendation of An expanded view of complex traits: from polygenic to omnigenic.

2017 ◽  
Author(s):  
Lluis Quintana-Murci
Keyword(s):  
Complex Traits

PROSPECTS FOR THE USE OF REMOTE CROSS IN THE CITRUS CROPS SELECTION

1970 ◽  
pp. 46-49 ◽  
Author(s):  
R. V. Kulyan
Keyword(s):  
Complex Traits ◽  
Germplasm Collection ◽  
Early Maturity ◽  
Russian Research Institute ◽  
Citrus Germplasm ◽  
The Status ◽  
New Varieties ◽  
Primary Test ◽  
Growing Conditions ◽  
Positive Traits

The Russian Research Institute of Floriculture and Subtropical Crops has the citrus germplasm collection, in total over 150 genotypes of various origins including 30 wild and semi-wild relatives. As a result of controlled hybridization in 17 crossings combinations of with the participation of relatives of citrus plants, new 769 hybrid offspring were obtained, which combine the traits of both the maternal and paternal genotypes. Analyzing the populations, promising combinations were highlighted: C. reticulata × Fortunella margarita (47.1%); C. x natsudaidai × 3252 (42.1%) and C. reticulata × C. reticulata ‘Cleopatra’ (40.9%) to create the gene pool of distant hybrids. From the mentioned combinations of crossings the greatest percent of seedlings which phenotypes tend to cultivated varieties was received. This hybrid material is a valuable source for isolating forms that are resistant to extreme environmental factors. According to phenotypic characteristics, hybrids were divided into three categories: I – Cultural, II – Semi-wild and III – Wild. Of the first category, the largest number 87 prospective forms were selected, and can be of interest for further breeding. As a result of the study of interspecific hybrid seedlings, 137 promising forms have been identified, which are carriers the complex traits such as dwarfism, thornless, early maturity and increased winter hardiness. From this set 17 genotypes were selected, which received the status of an elite forms, which successfully pass the primary test, and will be also useful in further breeding work for creating sources with a complex of positive traits and on breeding new varieties of citrus crops resistant to growing conditions.

Evolution and Selection of Quantitative Traits

2018 ◽  
Author(s):  
Bruce Walsh ◽  
Michael Lynch
Keyword(s):  
Mathematical Models ◽  
Quantitative Genetics ◽  
Complex Traits ◽  
Evolutionary Biology ◽  
Quantitative Traits ◽  
Specific Gene ◽  
Real World Data ◽  
Holistic Treatment ◽  
Genetics And Genomics ◽  
Selection Of

Quantitative traits—be they morphological or physiological characters, aspects of behavior, or genome-level features such as the amount of RNA or protein expression for a specific gene—usually show considerable variation within and among populations. Quantitative genetics, also referred to as the genetics of complex traits, is the study of such characters and is based on mathematical models of evolution in which many genes influence the trait and in which non-genetic factors may also be important. Evolution and Selection of Quantitative Traits presents a holistic treatment of the subject, showing the interplay between theory and data with extensive discussions on statistical issues relating to the estimation of the biologically relevant parameters for these models. Quantitative genetics is viewed as the bridge between complex mathematical models of trait evolution and real-world data, and the authors have clearly framed their treatment as such. This is the second volume in a planned trilogy that summarizes the modern field of quantitative genetics, informed by empirical observations from wide-ranging fields (agriculture, evolution, ecology, and human biology) as well as population genetics, statistical theory, mathematical modeling, genetics, and genomics. Whilst volume 1 (1998) dealt with the genetics of such traits, the main focus of volume 2 is on their evolution, with a special emphasis on detecting selection (ranging from the use of genomic and historical data through to ecological field data) and examining its consequences. This extensive work of reference is suitable for graduate level students as well as professional researchers (both empiricists and theoreticians) in the fields of evolutionary biology, genetics, and genomics. It will also be of particular relevance and use to plant and animal breeders, human geneticists, and statisticians.

A Primer of Population Genetics and Genomics

2020 ◽  
Author(s):  
Daniel L. Hartl
Keyword(s):  
Population Genetics ◽  
Complex Traits ◽  
Evolutionary Biology ◽  
Knowledge Retention ◽  
Learning By Doing ◽  
Human Populations ◽  
Gene Drive ◽  
Molecular Population Genetics ◽  
Genetics And Genomics ◽  
And Mathematics

A Primer of Population Genetics and Genomics, 4th edition, has been completely revised and updated to provide a concise but comprehensive introduction to the basic concepts of population genetics and genomics. Recent textbooks have tended to focus on such specialized topics as the coalescent, molecular evolution, human population genetics, or genomics. This primer bucks that trend by encouraging a broader familiarity with, and understanding of, population genetics and genomics as a whole. The overview ranges from mating systems through the causes of evolution, molecular population genetics, and the genomics of complex traits. Interwoven are discussions of ancient DNA, gene drive, landscape genetics, identifying risk factors for complex diseases, the genomics of adaptation and speciation, and other active areas of research. The principles are illuminated by numerous examples from a wide variety of animals, plants, microbes, and human populations. The approach also emphasizes learning by doing, which in this case means solving numerical or conceptual problems. The rationale behind this is that the use of concepts in problem-solving lead to deeper understanding and longer knowledge retention. This accessible, introductory textbook is aimed principally at students of various levels and abilities (from senior undergraduate to postgraduate) as well as practising scientists in the fields of population genetics, ecology, evolutionary biology, computational biology, bioinformatics, biostatistics, physics, and mathematics.

scholarly journals Contextualizing genetic risk score for disease screening and rare variant discovery

2021 ◽  
Vol 12 (1) ◽  
Author(s):  
Dan Zhou ◽  
Dongmei Yu ◽  
Jeremiah M. Scharf ◽  
Carol A. Mathews ◽  
Lauren McGrath ◽  
...  
Keyword(s):  
Complex Traits ◽  
Genetic Basis ◽  
Clinical Decision Making ◽  
Genetic Risk Score ◽  
Sufficient Conditions ◽  
Clinical Decision ◽  
Generative Models ◽  
Variant Discovery ◽  
Models Of Disease ◽  
The Uk

AbstractStudies of the genetic basis of complex traits have demonstrated a substantial role for common, small-effect variant polygenic burden (PB) as well as large-effect variants (LEV, primarily rare). We identify sufficient conditions in which GWAS-derived PB may be used for well-powered rare pathogenic variant discovery or as a sample prioritization tool for whole-genome or exome sequencing. Through extensive simulations of genetic architectures and generative models of disease liability with parameters informed by empirical data, we quantify the power to detect, among cases, a lower PB in LEV carriers than in non-carriers. Furthermore, we uncover clinically useful conditions wherein the risk derived from the PB is comparable to the LEV-derived risk. The resulting summary-statistics-based methodology (with publicly available software, PB-LEV-SCAN) makes predictions on PB-based LEV screening for 36 complex traits, which we confirm in several disease datasets with available LEV information in the UK Biobank, with important implications on clinical decision-making.

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