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Table representation of search results timeline featuring number of search results per year.

Year Number of Results
1992 1
1998 1
2001 3
2002 181
2003 399
2004 444
2005 602
2006 664
2007 629
2008 663
2009 632
2010 588
2011 606
2012 716
2013 690
2014 722
2015 749
2016 706
2017 713
2018 660
2019 394
2020 8
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Page 1
Analysis of Quantitative Trait Loci.
Duffy DL. Methods Mol Biol 2017. PMID 27896743
Although the term quantitative trait locus (QTL) strictly refers merely to a genetic variant that causes changes in a quantitative phenotype such as height, QTL analysis more usually describes techniques used to study oligogenic or polygenic traits where each identified locus contributes a relatively small amount to the genetic determination of the trait, which may be categorical in nature. ...
Although the term quantitative trait locus (QTL) strictly refers merely to a genetic variant that causes changes in a quant
Quantitative trait loci from identification to exploitation for crop improvement.
Kumar J, et al. Plant Cell Rep 2017 - Review. PMID 28352970
Mapping of genomic regions controlling the variation of quantitatively inherited traits has become routine after the advent of different types of molecular markers. ...Efforts have also been made towards cloning gene/QTLs or identification of potential candidate genes responsible for a trait. ...
Mapping of genomic regions controlling the variation of quantitatively inherited traits has become routine after the advent of differ …
Finding invisible quantitative trait loci with missing data.
Gabur I, et al. Plant Biotechnol J 2018. PMID 29729219 Free PMC article.
Including SNaP markers in genomewide association studies identified numerous quantitative trait loci, invisible using SNP markers alone, for resistance to two major fungal diseases of oilseed rape, Sclerotinia stem rot and blackleg disease. Our results indicate that PAV has a strong influence on quantitative disease resistance in B. napus and that SNaP analysis using cost-effective SNP array data can provide extensive added value from 'missing data'. ...
Including SNaP markers in genomewide association studies identified numerous quantitative trait loci, invisible using S …
Deciphering the Emerging Complexities of Molecular Mechanisms at GWAS Loci.
Cannon ME and Mohlke KL. Am J Hum Genet 2018 - Review. PMID 30388398 Free PMC article.
Functional characterization of mechanisms at GWAS loci is a multi-faceted challenge. Challenges include linkage disequilibrium and allelic heterogeneity at each locus, the noncoding nature of most loci, and the time and cost needed for experimentally evaluating the potential mechanistic contributions of genes and variants. As GWAS sample sizes increase, more loci are identified, and the complexities of individual loci emerge. Loci can consist of multiple association signals, each of which can reflect the influence of multiple variants, inseparable by association analyses. ...
Functional characterization of mechanisms at GWAS loci is a multi-faceted challenge. Challenges include linkage disequilibrium and al …
Model-Based Linkage Analysis of a Quantitative Trait.
Song YE, et al. Methods Mol Biol 2017. PMID 28980251
Linkage Analysis is a family-based method of analysis to examine whether any typed genetic markers cosegregate with a given trait, in this case a quantitative trait. If linkage exists, this is taken as evidence in support of a genetic basis for the trait. Historically, linkage analysis was performed using a binary disease trait, but has been extended to include quantitative disease measures. ...
Linkage Analysis is a family-based method of analysis to examine whether any typed genetic markers cosegregate with a given trait, in …
Statistical Methods for Latent Class Quantitative Trait Loci Mapping.
Ye S, et al. Genetics 2017. PMID 28550015 Free PMC article.
A number of effective statistical methods are available for quantitative trait loci (QTL) mapping that allow for the efficient identification of multiple, potentially interacting, loci under a variety of experimental conditions. ...
A number of effective statistical methods are available for quantitative trait loci (QTL) mapping that allow for the ef …
HT-eQTL: integrative expression quantitative trait loci analysis in a large number of human tissues.
Li G, et al. BMC Bioinformatics 2018. PMID 29523079 Free PMC article.
BACKGROUND: Expression quantitative trait loci (eQTL) analysis identifies genetic markers associated with the expression of a gene. ...
BACKGROUND: Expression quantitative trait loci (eQTL) analysis identifies genetic markers associated with the expressio …
Fine-mapping cellular QTLs with RASQUAL and ATAC-seq
Kumasaka N, et al. Nat Genet 2016. PMID 26656845 Free PMC article.
When cellular traits are measured using high-throughput DNA sequencing, quantitative trait loci (QTLs) manifest as fragment count differences between individuals and allelic differences within individuals. We present RASQUAL (Robust Allele-Specific Quantitation and Quality Control), a new statistical approach for association mapping that models genetic effects and accounts for biases in sequencing data using a single, probabilistic framework. ...
When cellular traits are measured using high-throughput DNA sequencing, quantitative trait loci (QTLs) manifest as frag …
Multi-marker linkage disequilibrium mapping of quantitative trait loci.
Lee S, et al. Brief Bioinform 2017. PMID 26966282 Free PMC article.
For the parameter estimation, we implemented a two-phase estimation procedure: first, haplotype frequencies were estimated for known markers; then, haplotype frequencies were updated to include the unknown quantitative trait loci based on estimates from the first step. ...
For the parameter estimation, we implemented a two-phase estimation procedure: first, haplotype frequencies were estimated for known markers …
The Dissection of Expression Quantitative Trait Locus Hotspots.
Tian J, et al. Genetics 2016. PMID 26837753 Free PMC article.
Studies of the genetic loci that contribute to variation in gene expression frequently identify loci with broad effects on gene expression: expression quantitative trait locus hotspots. ...In the formal likelihood-based test, we compare a two-locus model, with each expression trait affected by one or the other locus, to a single-locus model. ...
Studies of the genetic loci that contribute to variation in gene expression frequently identify loci with broad effects on gen …
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