Literature DB >> 19079051

Reverse engineering the genotype-phenotype map with natural genetic variation.

Matthew V Rockman1.   

Abstract

The genetic variation that occurs naturally in a population is a powerful resource for studying how genotype affects phenotype. Each allele is a perturbation of the biological system, and genetic crosses, through the processes of recombination and segregation, randomize the distribution of these alleles among the progeny of a cross. The randomized genetic perturbations affect traits directly and indirectly, and the similarities and differences between traits in their responses to common perturbations allow inferences about whether variation in a trait is a cause of a phenotype (such as disease) or whether the trait variation is, instead, an effect of that phenotype. It is then possible to use this information about causes and effects to build models of probabilistic 'causal networks'. These networks are beginning to define the outlines of the 'genotype-phenotype map'.

Mesh:

Year:  2008        PMID: 19079051     DOI: 10.1038/nature07633

Source DB:  PubMed          Journal:  Nature        ISSN: 0028-0836            Impact factor:   49.962


  86 in total

1.  Using bioinformatics and systems genetics to dissect HDL-cholesterol genetics in an MRL/MpJ x SM/J intercross.

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Journal:  J Lipid Res       Date:  2012-04-11       Impact factor: 5.922

2.  Two-step epigenetic Mendelian randomization: a strategy for establishing the causal role of epigenetic processes in pathways to disease.

Authors:  Caroline L Relton; George Davey Smith
Journal:  Int J Epidemiol       Date:  2012-02       Impact factor: 7.196

3.  Drug discovery in a multidimensional world: systems, patterns, and networks.

Authors:  Joel T Dudley; Eric Schadt; Marina Sirota; Atul J Butte; Euan Ashley
Journal:  J Cardiovasc Transl Res       Date:  2010-07-31       Impact factor: 4.132

4.  New technology-based innovation changes surgical practice and research direction in solid cancers.

Authors:  Christos Katsios; Georgios Baltogiannis; Dimitrios H Roukos
Journal:  Surg Endosc       Date:  2010-11       Impact factor: 4.584

5.  Hope from Japan for esophagogastric cancers: esophagectomy and endoscopic submucosal dissection for gastric tube cancer.

Authors:  Christos Katsios; Dimitrios H Roukos; Georgios Baltogiannis
Journal:  Surg Endosc       Date:  2010-11       Impact factor: 4.584

Review 6.  Phenomics: the next challenge.

Authors:  David Houle; Diddahally R Govindaraju; Stig Omholt
Journal:  Nat Rev Genet       Date:  2010-12       Impact factor: 53.242

7.  Bayesian Networks Illustrate Genomic and Residual Trait Connections in Maize (Zea mays L.).

Authors:  Katrin Töpner; Guilherme J M Rosa; Daniel Gianola; Chris-Carolin Schön
Journal:  G3 (Bethesda)       Date:  2017-08-07       Impact factor: 3.154

8.  Expectations and challenges of laparoscopic total gastrectomy.

Authors:  Theodore Liakakos; Pavlos Patapis; Evangelos Misiakos; Anastasios Macheras
Journal:  Surg Endosc       Date:  2009-05-16       Impact factor: 4.584

Review 9.  The paradox of intelligence: Heritability and malleability coexist in hidden gene-environment interplay.

Authors:  Bruno Sauce; Louis D Matzel
Journal:  Psychol Bull       Date:  2017-10-30       Impact factor: 17.737

Review 10.  Does your gene need a background check? How genetic background impacts the analysis of mutations, genes, and evolution.

Authors:  Christopher H Chandler; Sudarshan Chari; Ian Dworkin
Journal:  Trends Genet       Date:  2013-02-28       Impact factor: 11.639

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