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genetic marker

Definitions

  • WordNet 3.6
    • n genetic marker a specific gene that produces a recognizable trait and can be used in family or population studies
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Usage


In news:

Scientists Discover Genetic Marker for Methane Production in Cows.
In the Field of DNA Forensics, Scientists Identify Genetic Markers for Traits Revealing Appearance and Ethnicity.
Neoplasm Lacking the Usual Genetic Markers Associated With Colorectal Neoplasms .
This neoplasm lacks the usual genetic markers associated with colorectal neoplasms .
) executed a voluntary acknowledgment of parentage, (2) genetic marker testing later revealed that R.R.
A new study published in the journal Lancet indicates it could be because of genetic markers on the Y chromosome .
Patti Kuhn has a strong family history of the dementia and tested positive for a genetic marker.
USDA researchers have found genetic markers that could help develop cotton varieties resistant to two forms of nematode pest.
Study Shows Test That Checks for Genetic Markers May Offer Safer Alternative to Amniocentesis.
Tools for Success By using tools such as marker-assisted breeding, the time required to find new and higher- yielding genetics, says Denys, has been shortened.
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In science:

Selection of genetic markers for association analyses, using linkage disequilibrium and haplotypes.
Randomized algorithms for matrices and data
The prototype of a genetic marker is the two-allele single-nucleotide-polymorphism (SNP)4 .
Genotype-based Case-Control Analysis, Violation of Hardy-Weinberg Equilibrium, and Phase Diagrams
Trend tests for case-control studies of genetic markers: power, sample size and robustness.
Comparison of robust tests for genetic association using case-control studies
Another reason for using robust tests is the distortion of the actual genetic model at the marker locus due to incomplete LD, which further amplifies uncertainty about the model.
Robust Tests in Genome-Wide Scans under Incomplete Linkage Disequilibrium
Given the genetic model space Λ∗ at the functional locus, the genetic model space at the marker locus Λ is shifted toward the center of the space Λ∗ corresponding to the ADD/MUL models.
Robust Tests in Genome-Wide Scans under Incomplete Linkage Disequilibrium
On the contrary, owing to the shrinkage of the genetic model space and that the GMS only selects a model at the marker locus, it can be viewed as selecting an appropriately induced model at the marker locus.
Robust Tests in Genome-Wide Scans under Incomplete Linkage Disequilibrium
Previous studies of robustness properties of test statistics for the analysis of case-control genetic association studies have been focused on the perfect (or complete) LD model, that is, the genetic marker (SNP) is also the functional locus.
Robust Tests in Genome-Wide Scans under Incomplete Linkage Disequilibrium
Under the imperfect LD model, we found that a genetic model defined by the genotype relative risks at the functional locus usually no longer remains the same genetic model at the marker locus, except for the additive or multiplicative models.
Robust Tests in Genome-Wide Scans under Incomplete Linkage Disequilibrium
The genetic model space at the marker locus is a subset of that at the functional locus, resulting in smaller genotype relative risks at the marker than at the functional locus.
Robust Tests in Genome-Wide Scans under Incomplete Linkage Disequilibrium
Trend tests for case-control studies of genetic markers: Power, sample size and robustness.
Robust Tests in Genome-Wide Scans under Incomplete Linkage Disequilibrium
A SNP (Single Nucleotide Polymorphism) is a genetic marker that usually exhibits two different types (alleles) in a population.
Using linear predictors to impute allele frequencies from summary or pooled genotype data
For a follow-up study, a researcher can decide between (1) increasing the density of genetic markers on the observed individuals to resolve the ambiguities and (2) increasing the sample size by genotyping more independent individuals on the same set of markers for the previously observed individuals.
Comment: Quantifying the Fraction of Missing Information for Hypothesis Testing in Statistical and Genetic Studies
Analysis of Genetic Association Studies with Different Sets of Markers.
Bayesian Methods for Genetic Association Analysis with Heterogeneous Subgroups: from Meta-Analyses to Gene-Environment Interactions
Trend tests for case-control studies of genetic markers: power, sample size and robustness.
Graphical-model Based Multiple Testing under Dependence, with Applications to Genome-wide Association Studies
Case-control studies of genetic markers: power and sample size approximations for Armitage’s test for trend.
Graphical-model Based Multiple Testing under Dependence, with Applications to Genome-wide Association Studies
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