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Many of these figures belong to the type of the "dying god" (a fertility deity displaying death and regeneration characteristics) but show variant traits according to whether they are powers of fertility worshipped by marsh dwellers, orchard growers, herders, or farmers.
Quantitative trait locus (QTL) mapping has successfully identified the genetic basis for many variant traits in sticklebacks [4].
If there is random variation among the traits of organisms, and if some variant traits fortuitously confer advantages on the organisms that bear them, i.e., enhance their fitness, then those organisms will live to have more offspring, which in turn will bear the advantageous traits.
Genetic studies support the variant traits of Vibrio pathogens.
This study identified the variant traits of Symbiodinium hosts exposed to a common zinc-metalloprotease.
Based on findings from this study, Vibrio pathogens may be involved in numerous coral disease aetiologies as pathogens of variant traits, and may operate as primary, opportunistic, or as secondary agents.
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Naively, systematic identification of GEMOT modules could be obtained by a detailed reconstruction of all relationships among variants, traits and transcripts (e.g., Neto et al., 2010; Hageman et al., 2011; Wang and van Eeuwijk, 2014).
Further, phenotypic effects may not be picked up by our broad survey or are too subtle to be detectable when there are typically only one or two carriers: While it is relatively straightforward to show that a given HLOF does not inevitably cause a severe disease, it requires a large sample sizes and replicated studies to demonstrate variant-trait associations for quantitative traits.
We also calculated genome-wide power to detect variant-trait association in a case-control design, across varying sample sizes, effect sizes, and minor allele frequency ranges, and compare these array-based power estimates with a hypothetical array that would type all variants in 1000 Genomes.
To simulate the sparsity of causal variants, the traits were simulated by randomly choosing 10 variants to be causal.
We define a bipartite graph whose two parts correspond to genetic variants and traits, and in which the edges reflect the potential of a variant and a trait to have significant linked relationships.
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