Abstract
The genetic analysis of quantitative or complex traits has been based mainly on statistical quantities such as genetic variances and heritability. These analyses continue to be developed, for example in studies of natural populations. Genomic methods are having an impact on progress and prospects. Actual relationships of individuals can be estimated enabling novel quantitative analyses. Increasing precision of linkage mapping is feasible with dense marker panels and designed stocks allowing multiple generations of recombination, and large SNP panels enable the use of genome wide association analysis utilising historical recombination. Whilst such analyses are identifying many loci for disease genes and traits such as height, typically each individually contributes a small amount of the variation. Only by fitting all SNPs without regard to significance can a high proportion be accounted for, so a classical polygenic model with near infinitesimally small effects remains a useful one. Theory indicates that a high proportion of variants will have low minor allele frequency, making detection difficult. Genomic selection, based on simultaneously fitting very dense markers and incorporating these with phenotypic data in breeding value prediction is revolutionising breeding programmes in agriculture and has a major potential role in human disease prediction.
Keywords: Complex traits, evolution, heritability, genetic variance, genome wide association, QTL, selection
Current Genomics
Title:Quantitative Genetics in the Genomics Era
Volume: 13 Issue: 3
Author(s): William G. Hill
Affiliation:
Keywords: Complex traits, evolution, heritability, genetic variance, genome wide association, QTL, selection
Abstract: The genetic analysis of quantitative or complex traits has been based mainly on statistical quantities such as genetic variances and heritability. These analyses continue to be developed, for example in studies of natural populations. Genomic methods are having an impact on progress and prospects. Actual relationships of individuals can be estimated enabling novel quantitative analyses. Increasing precision of linkage mapping is feasible with dense marker panels and designed stocks allowing multiple generations of recombination, and large SNP panels enable the use of genome wide association analysis utilising historical recombination. Whilst such analyses are identifying many loci for disease genes and traits such as height, typically each individually contributes a small amount of the variation. Only by fitting all SNPs without regard to significance can a high proportion be accounted for, so a classical polygenic model with near infinitesimally small effects remains a useful one. Theory indicates that a high proportion of variants will have low minor allele frequency, making detection difficult. Genomic selection, based on simultaneously fitting very dense markers and incorporating these with phenotypic data in breeding value prediction is revolutionising breeding programmes in agriculture and has a major potential role in human disease prediction.
Export Options
About this article
Cite this article as:
G. Hill William, Quantitative Genetics in the Genomics Era, Current Genomics 2012; 13 (3) . https://dx.doi.org/10.2174/138920212800543110
DOI https://dx.doi.org/10.2174/138920212800543110 |
Print ISSN 1389-2029 |
Publisher Name Bentham Science Publisher |
Online ISSN 1875-5488 |
Call for Papers in Thematic Issues
Advanced AI Techniques in Big Genomic Data Analysis
The thematic issue on "Advanced AI Techniques in Big Genomic Data Analysis" aims to explore the cutting-edge methodologies and applications of artificial intelligence (AI) in the realm of genomic research, where vast amounts of data pose both challenges and opportunities. This issue will cover a broad spectrum of AI-driven strategies, ...read more
Advanced Computational Algorithms and Artificial Intelligence in Clinical Pharmacogenomics
In the era of personalized medicine, understanding the relationship between genetics and drug response is crucial. This issue delves into innovative methodologies, leveraging deep computational analysis and artificial intelligence, to enhance the field of Clinical Pharmacogenomics. The interdisciplinary approach harnesses the power of advanced high-throughput genotyping technologies, sophisticated computational analysis, ...read more
Applications of Single-cell Sequencing Technology in Reproductive Medicine
Single cell sequencing (SCS) technology utilizes individual cells' genetic material to sequence their genome, transcriptome, and epigenetics at the molecular level. It offers insights into cell heterogeneity and enables the study of limited biological materials. Since its recognition as a valuable technique in 2011, single cell sequencing has yielded numerous ...read more
Big Data in Cancer Research
Cancer is a significant threat to human life and health, remaining a highly aggressive killer. It is a leading cause of death worldwide and represents a crucial medical issue for humanity. However, in the past decade, the effectiveness of new synthetic anticancer agents has not matched the current clinical speculation. ...read more
Related Journals
- Author Guidelines
- Graphical Abstracts
- Fabricating and Stating False Information
- Research Misconduct
- Post Publication Discussions and Corrections
- Publishing Ethics and Rectitude
- Increase Visibility of Your Article
- Archiving Policies
- Peer Review Workflow
- Order Your Article Before Print
- Promote Your Article
- Manuscript Transfer Facility
- Editorial Policies
- Allegations from Whistleblowers
- Announcements
Related Articles
-
Histological Alterations in the Testicular Tissue Induced by Sildenafil Overdoses
Drug Metabolism Letters In memory of Prof. Stephen Drake Skaper
CNS & Neurological Disorders - Drug Targets Development of Gel-Core Solid Lipid Nanoparticles as Drug Delivery Systems for Hydrophilic Molecules
Current Nanoscience Ozone: A Multifaceted Molecule with Unexpected Therapeutic Activity
Current Medicinal Chemistry Meta Analysis of Advanced Cancer Survival Data Using Lognormal Parametric Fitting: A Statistical Method to Identify Effective Treatment Protocols
Current Pharmaceutical Design Progress in Clinical, Pharmacological, Chemical and Structural Biological Studies of Huperzine A: A Drug of Traditional Chinese Medicine Origin for the Treatment of Alzheimers Disease
Current Medicinal Chemistry Editorial (Thematic Issue: Neuroglia as a Central Element of Neurological Diseases: An Underappreciated Target for Therapeutic Intervention)
Current Neuropharmacology Role of Repetitive Transcranial Magnetic Stimulation (rTMS) in Treatment of Addiction and Related Disorders: A Systematic Review
Current Drug Abuse Reviews Neuropeptides as Autocrine Growth Factors in Cancer Cells
Current Pharmaceutical Design New Developments in Peroxidation of Polyunsaturated Fatty Acids
Letters in Organic Chemistry Neuro-Transmitters in the Central Nervous System & their Implication in Learning and Memory Processes
Current Medicinal Chemistry The Role of Autophagy: What can be Learned from the Genetic Forms of Amyotrophic Lateral Sclerosis
CNS & Neurological Disorders - Drug Targets New Drugs for Follicular Lymphoma in Older Adults
Anti-Cancer Agents in Medicinal Chemistry Conference Report:5<sup>th</sup> International Conference on Nanotek & Expo, Nov 16-18, 2015, San Antonio TX, USA
CNS & Neurological Disorders - Drug Targets Bitropic D3 Dopamine Receptor Selective Compounds s Potential Antipsychotics
Current Pharmaceutical Design Role of Gut Microbiota in Obesity, Type 2 Diabetes and Alzheimer’s Disease
CNS & Neurological Disorders - Drug Targets Hypothalamic Pituitary Adrenal Axis and Prolactin Abnormalities in Suicidal Behavior
CNS & Neurological Disorders - Drug Targets Lab-on-Chip for Pharmacogenomics: An Embedded System Organization
Micro and Nanosystems Effect of Glyoxal Modification on a Critical Arginine Residue (Arg-31α) of Hemoglobin: Physiological Implications of Advanced Glycated end Product an <i>in vitro</i> Study
Protein & Peptide Letters Amino Acid Degrading Enzymes and their Application in Cancer Therapy
Current Medicinal Chemistry