Exact(1)
Across many taxa, extinction risk has been shown to be a function of an extrinsic driver or threat (Jennings et al., 1998; Davies et al., 2006) and the corresponding life history and ecological traits: large body size (low intrinsic rate of population increase, high trophic level), small geographic range size, and ecological specialization.
Similar(59)
Thus, to identify genetic factors involved in quantitative traits, larger sample sizes and more refined statistical analyses are required.
Although this matches the typical requirements for quantitative genetic studies of disease traits, larger sample sizes might be possibly needed if interest is on estimated genetic variation in infectivity when heritability on this trait is very low.
Importantly, where large numbers (>20) of small-effect loci control a given trait, large phenotypic differences at adaptive traits can exist between populations without strong underlying differences in allele frequencies (Le Corre and Kremer 2003, 2012).
In contrast, for negative stimuli, amplitudes elicited by personality, in comparison to physical traits, were larger due to larger threatening significance.
The genomic BLUP methodology has shown highest accuracy for traits without large quantitative trait loci (QTL) but the BayesB method has shown highest accuracy for traits with known large QTL, because it puts higher weight on genetic markers with large effects [ 5, 6].
And Mr. Bush revels in these traits, in large part because they reflect who he is, or at least how he sees himself.
(One could argue those are traits of large, fat and happy American multi-nationals that both Chinese and Silicon Valley startups seek to out-do).
However quantifying such traits in large numbers of individuals represents an important challenge, and little is known regarding their diversity and inheritance.
Our results suggest that high and long-term rates of nonselective harvesting can change life-history traits of large mammals, as has also been shown by modeling, but only has been documented for morphological traits.
Clearly the HH approach can be effectively applied to study monogenic traits in large families by utilizing the genotypes of both affected and unaffected family members.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com