Results 1 to 10 of about 92,892 (112)

Genotype-phenotype mapping in a post-GWAS world. [PDF]

open access: yesTrends Genet, 2012
Understanding how metabolic reactions, cell signaling, and developmental pathways translate the genome of an organism into its phenotype is a grand challenge in biology. Genome-wide association studies (GWAS) statistically connect genotypes to phenotypes, without any recourse to known molecular interactions, whereas a molecular biology approach ...
Nuzhdin SV, Friesen ML, McIntyre LM.
europepmc   +4 more sources

Genotype–phenotype mapping and the end of the ‘genes as blueprint’ metaphor [PDF]

open access: yesPhilosophical Transactions of the Royal Society B: Biological Sciences, 2010
In a now classic paper published in 1991, Alberch introduced the concept of genotype–phenotype (G→P) mapping to provide a framework for a more sophisticated discussion of the integration between genetics and developmental biology that was then available.
Massimo Pigliucci
exaly   +3 more sources

Inferring genotype-phenotype maps using attention models. [PDF]

open access: yesPNAS Nexus
Predicting phenotype from genotype is a central challenge in genetics. Traditional approaches in quantitative genetics typically analyze this problem using methods based on linear regression. These methods generally assume that the genetic architecture of complex traits can be parameterized in terms of an additive model, where the effects of loci are ...
Rijal K   +5 more
europepmc   +4 more sources

The architecture of an empirical genotype-phenotype map [PDF]

open access: yesEvolution; international journal of organic evolution, 2018
ISSN:0014 ...
Aguilar‐Rodríguez J   +4 more
openaire   +8 more sources

Learning Monotonic Genotype-Phenotype Maps [PDF]

open access: yesStatistical Applications in Genetics and Molecular Biology, 2011
Evolutionary escape of pathogens from the selective pressure of immune responses and from medical interventions is driven by the accumulation of mutations. We introduce a statistical model for jointly estimating the dynamics and dependencies among genetic alterations and the associated phenotypic changes.
Beerenwinkel, Niko   +2 more
openaire   +3 more sources

A Comparison of Genotype-Phenotype Maps for RNA and Proteins [PDF]

open access: yesBiophysical Journal, 2012
The relationship between the genotype (sequence) and the phenotype (structure) of macromolecules affects their ability to evolve new structures and functions. We here compare the genotype space organization of proteins and RNA molecules to identify differences that may affect this ability.
Ferrada Evandro, Wagner Andreas
openaire   +3 more sources

Estimation of Genetic Effects and Genotype-Phenotype Maps [PDF]

open access: yesEvolutionary Bioinformatics, 2008
Determining the genetic architecture of complex traits is a necessary step to understand phenotypic changes in natural, experimental and domestic populations. However, this is still a major challenge for modern genetics, since the estimation of genetic effects tends to be complicated by genetic interactions, which lead to changes in the effect of ...
Arnaud Le Rouzic   +1 more
openaire   +4 more sources

Bridging the genotype-phenotype mapping for digital FPGAs [PDF]

open access: yesProceedings Third NASA/DoD Workshop on Evolvable Hardware. EH-2001, 2002
To solve the genome complexity issue and enable evolution of large complex circuits, the need to move away from a one-to-one genotype/phenotype mapping is becoming generally accepted. This involves development of new forms of representation with features such as growth.
Pauline C. Haddow, Gunnar Tufte
openaire   +1 more source

Exploring the evolution of Genotype Phenotype Mappings [PDF]

open access: yes2017 IEEE Congress on Evolutionary Computation (CEC), 2017
This paper investigates the evolution of two types of simple Genotype Phenotype Mappings (GPMs): a many-to-one mapping and a one-to-many mapping. Both GPMs are under genetic control. For both types of mappings different Regions Of Maximum Adaptability (ROMAs) are found. These ROMAs are the regions - in a paramterized space of GPMs - evolution leads to.
openaire   +2 more sources

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