Block network mapping approach to quantitative trait locus analysis [PDF]
BACKGROUND: Advances in experimental biology have enabled the collection of enormous troves of data on genomic variation in living organisms. The interpretation of this data to extract actionable information is one of the keys to developing novel ...
Daniel M. Gatti+2 more
core +2 more sources
krn1, a major quantitative trait locus for kernel row number in maize.
Kernel row number is a fundamental component of maize (Zea mays) yield and an important target for maize breeding. The revolutionary transition from the two-rowed teosinte to maize with increased kernel row numbers dramatically enhanced yields during ...
Jian Wang+8 more
semanticscholar +1 more source
On the Fourier transform of a quantitative trait: Implications for compressive sensing [PDF]
This paper explores the genotype-phenotype relationship. It outlines conditions under which the dependence of a quantitative trait on the genome might be predictable, based on measurement of a limited subset of genotypes. It uses the theory of real-valued Boolean functions in a systematic way to translate trait data into the Fourier domain.
arxiv +1 more source
Crop yields must increase to address food insecurity. Grain weight, determined by grain length and width, is an important yield component, but our understanding of the underlying genes and mechanisms is limited.
J. Brinton+5 more
semanticscholar +1 more source
Identifying QTLs Related to Grain Filling Using a Doubled Haploid Rice (Oryza sativa L.) Population
Grain filling is an important trait of rice that affects the yield of grain-oriented crop species with sink capacity-related traits. Here, we used a doubled haploid (DH) population derived from a cross between 93-11 (P1, indica) and Milyang352 (P2 ...
So-Myeong Lee+9 more
doaj +1 more source
Comparison between instrumental variable and mediation-based methods for reconstructing causal gene networks in yeast [PDF]
Causal gene networks model the flow of information within a cell, but reconstructing them from omics data is challenging because correlation does not imply causation. Combining genomics and transcriptomics data from a segregating population allows to orient the direction of causality between gene expression traits using genomic variants.
arxiv +1 more source
A hierarchical Bayesian approach to multi-trait clinical quantitative trait locus modeling
Recent advances in high-throughput genotyping and transcript profiling technologies have enabled the inexpensive production of genome-wide dense marker maps in tandem with huge amounts of expression profiles.
Crispin M. Mutshinda+3 more
doaj +1 more source
Protein quantitative trait locus study in obesity during weight-loss identifies a leptin regulator
Thousands of genetic variants have been associated with complex traits through genome-wide association studies. However, the functional variants or mechanistic consequences remain elusive. Intermediate traits such as gene expression or protein levels are
J. Carayol+12 more
semanticscholar +1 more source
A genome-wide scan was performed in Large White and French Landrace pig populations in order to identify QTL affecting reproduction and production traits.
Bidanel Jean-Pierre+9 more
doaj +1 more source
Bayesian Method for Disease QTL Detection and Mapping, using a Case and Control Design and DNA Pooling [PDF]
This paper describes a Bayesian statistical method for determining the genetic basis of a complex genetic trait. The method uses a sample of unrelated individuals classified into two groups, for example cases and controls. Each group is assumed to have been genotyped at a battery of marker loci using a laboratory effort efficient technique called DNA ...
arxiv +1 more source