Topic
Quantitative trait locus
About: Quantitative trait locus is a research topic. Over the lifetime, 24006 publications have been published within this topic receiving 998782 citations. The topic is also known as: QTL & Quantitative Trait Locus.
Papers published on a yearly basis
1 / 2
Papers
TL;DR: The GCTA software is a versatile tool to estimate and partition complex trait variation with large GWAS data sets and focuses on the function of estimating the variance explained by all the SNPs on the X chromosome and testing the hypotheses of dosage compensation.
Abstract: For most human complex diseases and traits, SNPs identified by genome-wide association studies (GWAS) explain only a small fraction of the heritability. Here we report a user-friendly software tool called genome-wide complex trait analysis (GCTA), which was developed based on a method we recently developed to address the “missing heritability” problem. GCTA estimates the variance explained by all the SNPs on a chromosome or on the whole genome for a complex trait rather than testing the association of any particular SNP to the trait. We introduce GCTA's five main functions: data management, estimation of the genetic relationships from SNPs, mixed linear model analysis of variance explained by the SNPs, estimation of the linkage disequilibrium structure, and GWAS simulation. We focus on the function of estimating the variance explained by all the SNPs on the X chromosome and testing the hypotheses of dosage compensation. The GCTA software is a versatile tool to estimate and partition complex trait variation with large GWAS data sets.
8,167 citations
Book•
1 Jan 1996
TL;DR: This book discusses the genetic Basis of Quantitative Variation, Properties of Distributions, Covariance, Regression, and Correlation, and Properties of Single Loci, and Sources of Genetic Variation for Multilocus Traits.
Abstract: I. The Genetic Basis of Quantitative Variation - An Overview of Quantitative Genetics - Properties of Distributions - Covariance, Regression, and Correlation - Properties of Single Loci - Sources of Genetic Variation for Multilocus Traits - Sources of Environmental Variation - Resemblance Between Relatives - Introduction to Matrix Algebra and Linear Models - Analysis of Line Crosses - Inbreeding Depression - Matters of Scale - II. Quantitative-Trait Loci - Polygenes and Polygenic Mutation - Detecting Major Genes - Basic Concepts of Marker-Based Analysis - Mapping and Characterizing QTLs: Inbred-Line Crosses - Mapping and Characterizing QTLs: Outbred Populations - III. Estimation Procedures - Parent-Offspring Regression - Sib AnalysisTwins and Clones - Cross-Classified Designs - Correlations Between Characters - Genotype x Environment Interaction - Maternal Effects Sex Linkage and Sexual Dimorphism - Threshold Characters - Estimation of Breeding Values - Variance-Component Estimation with Complex Pedigrees - Appendices - Expectations, Variances and Covariances of Compound Variables - Path Analysis - Matrix Algebra and Linear Models - Maximum Likelihood Estimation and Likelihood-Ratio Tests - Estimation of Power of Statistical Tests -
6,624 citations
TL;DR: The landscape of gene expression across tissues is described, thousands of tissue-specific and shared regulatory expression quantitative trait loci (eQTL) variants are cataloged, complex network relationships are described, and signals from genome-wide association studies explained by eQTLs are identified.
Abstract: Understanding the functional consequences of genetic variation, and how it affects complex human disease and quantitative traits, remains a critical challenge for biomedicine. We present an analysi...
5,449 citations
TL;DR: An empirical method is described, based on the concept of a permutation test, for estimating threshold values that are tailored to the experimental data at hand, and is demonstrated using two real data sets derived from F(2) and recombinant inbred plant populations.
Abstract: The detection of genes that control quantitative characters is a problem of great interest to the genetic mapping community. Methods for locating these quantitative trait loci (QTL) relative to maps of genetic markers are now widely used. This paper addresses an issue common to all QTL mapping methods, that of determining an appropriate threshold value for declaring significant QTL effects. An empirical method is described, based on the concept of a permutation test, for estimating threshold values that are tailored to the experimental data at hand. The method is demonstrated using two real data sets derived from F(2) and recombinant inbred plant populations. An example using simulated data from a backcross design illustrates the effect of marker density on threshold values.
5,211 citations
4,769 citations
Related Topics (5)
Performance Metrics
| Year | Papers |
|---|---|
| 2026 | 1 |
| 2025 | 466 |
| 2024 | 1,268 |
| 2023 | 1,546 |
| 2022 | 2,898 |
| 2021 | 1,587 |