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The fixation index (Fst) is an estimate of population differentiation based on genetic polymorphism data.
Fixation index (FST) is a commonly used statistics that measure population differentiation based on genetic polymorphism data.
Relationships among plants based on genetic polymorphism and methylation-sensitive polymorphism similarity matrices were established based on UPGMA (Unweighted Pair-Group Method with Arithmetic averaging).
These effects were shown to occur via polyamine-dependent processes [ 2], with differential treatment outcomes based on genetic polymorphism of ODC1 (ornithine decarboxylase- 1)—a key regulatory gene of polyamine metabolism [ 3].
FST is a pair-wise population measure of differentiation or relatedness (genetic distance measure between the two populations) based on genetic polymorphism data such as SNPs and was recently utilized as a criterion for selecting markers for ancestry estimation [ 40].
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Altered brain excitability has been supposed, based on genetic mutations and/or polymorphisms of chromosomes, yet to be determined, which regulate the metabolism of neuronal mitochondrial energy, neurotransmitters and ion canals of the CNS [1].
To determine what percentage of women can be given individualized counseling based on genetic information, as single nucleotide polymorphisms (SNPs) are associated with risks and benefits of estrogen therapy and hormone therapy such as thrombosis, myocardial infarction, breast cancer, and bone protection.
Recently, some clinical evidence based on genetic analysis of leukocyte receptor (FcγR) polymorphisms of cancer patients treated with anti-CD20 IgG1 rituximab and anti-HER2 IgG1 trastuzumab therapies has revealed that ADCC is one of the critical mechanisms responsible for the clinical efficacy of these therapeutic antibodies [ 10- 14].
Marker polymorphism and exclusion probabilities based on genetic data of all individuals sampled (N = 673) were calculated in CERVUS v3.0 (Kalinowski et al. 2007).
Cooperation based on genetic recognition cues is paradoxical because it disproportionately benefits individuals with common phenotypes, which should erode the required cue polymorphism.
These are not based on genetic knowledge.
More suggestions(17)
based on genetic algorithm
based on genetic analysis
based on nuclear polymorphism
based on genetic identification
based on genetic programming
based on genetic knowledge
based on genetic influence
based on genetic evidence
based on current polymorphism
based on genetic engineering
based on genetic improvement
based on genetic detective
based on genetic Programming
based on genetic nature
based on genetic makeup
based on genetic information
based on nucleotide polymorphism
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