10. Unbiased forward genetics and systems biology approaches to understanding how gene-environment interactions work to predict susceptibility and outcomes of infections

Malak Kotb, Nourtan Fathey, Ramy Aziz, Sarah Rowe, Robert Williams, Lu Lu

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Citations (Scopus)

Abstract

Like most human diseases, infectious diseases are effected by complex genetic traits and multiple, interactive environmental and inherent host factors. By linking specific genotypes to disease susceptibility phenotypes we can identify the genetic basis for inter-individual differences in disease susceptibility as well as gain insight into how gene-environment interactions influence infection outcomes. Our research has focused on delineating interactive pathways and molecular events modulating host resistance or susceptibility to specific pathogens. Our model system has been that of Group A Streptococcus infections that can manifest in starkly different ways and cause distinct diseases in genetically distinct individuals. We have extended our work to other pathogens, including those with a potential of causing major, global biological threats. In as much as it is quite difficult to conduct certain infectious disease studies in humans, there has been a critical need for small animal models for infectious diseases. Appreciating the limitations of existing models, we developed several novel and complementary mouse models that are ideal for use in systems genetics studies of complex diseases. These models not only allow biological validation of known genetic associations, but importantly they afford an unbiased tool for discovering novel genes and pathways contributing to disease outcomes, under different environments.

Original languageEnglish (US)
Title of host publicationGenetic Effects on Environmental Vulnerability to Disease
Pages156-165
Number of pages10
StatePublished - Nov 19 2008

Publication series

NameNovartis Foundation Symposium
Volume293
ISSN (Print)1528-2511

Fingerprint

Gene-Environment Interaction
Systems Biology
Communicable Diseases
Disease Susceptibility
Infection
Streptococcus
Individuality
Animal Models
Genotype
Phenotype
Research
Genes

All Science Journal Classification (ASJC) codes

  • Medicine(all)

Cite this

Kotb, M., Fathey, N., Aziz, R., Rowe, S., Williams, R., & Lu, L. (2008). 10. Unbiased forward genetics and systems biology approaches to understanding how gene-environment interactions work to predict susceptibility and outcomes of infections. In Genetic Effects on Environmental Vulnerability to Disease (pp. 156-165). (Novartis Foundation Symposium; Vol. 293).

10. Unbiased forward genetics and systems biology approaches to understanding how gene-environment interactions work to predict susceptibility and outcomes of infections. / Kotb, Malak; Fathey, Nourtan; Aziz, Ramy; Rowe, Sarah; Williams, Robert; Lu, Lu.

Genetic Effects on Environmental Vulnerability to Disease. 2008. p. 156-165 (Novartis Foundation Symposium; Vol. 293).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Kotb, M, Fathey, N, Aziz, R, Rowe, S, Williams, R & Lu, L 2008, 10. Unbiased forward genetics and systems biology approaches to understanding how gene-environment interactions work to predict susceptibility and outcomes of infections. in Genetic Effects on Environmental Vulnerability to Disease. Novartis Foundation Symposium, vol. 293, pp. 156-165.
Kotb M, Fathey N, Aziz R, Rowe S, Williams R, Lu L. 10. Unbiased forward genetics and systems biology approaches to understanding how gene-environment interactions work to predict susceptibility and outcomes of infections. In Genetic Effects on Environmental Vulnerability to Disease. 2008. p. 156-165. (Novartis Foundation Symposium).
Kotb, Malak ; Fathey, Nourtan ; Aziz, Ramy ; Rowe, Sarah ; Williams, Robert ; Lu, Lu. / 10. Unbiased forward genetics and systems biology approaches to understanding how gene-environment interactions work to predict susceptibility and outcomes of infections. Genetic Effects on Environmental Vulnerability to Disease. 2008. pp. 156-165 (Novartis Foundation Symposium).
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