TY - CHAP
T1 - Dissection of host susceptibility to bacterial infections and its toxins
AU - Nashef, Aysar
AU - Agbaria, Mahmoud
AU - Shusterman, Ariel
AU - Lorè, Nicola Ivan
AU - Bragonzi, Alessandra
AU - Wiess, Ervin
AU - Houri-Haddad, Yael
AU - Iraqi, Fuad A.
N1 - Publisher Copyright:
© Springer Science+Business Media New York 2017.
PY - 2017
Y1 - 2017
N2 - Infection is one of the leading causes of human mortality and morbidity. Exposure to microbial agents is obviously required. However, also non-microbial environmental and host factors play a key role in the onset, development and outcome of infectious disease, resulting in large of clinical variability between individuals in a population infected with the same microbe. Controlled and standardized investigations of the genetics of susceptibility to infectious disease are almost impossible to perform in humans whereas mouse models allow application of powerful genomic techniques to identify and validate causative genes underlying human diseases with complex etiologies. Most of current animal models used in complex traits diseases genetic mapping have limited genetic diversity. This limitation impedes the ability to create incorporated network using genetic interactions, epigenetics, environmental factors, microbiota, and other phenotypes. A novel mouse genetic reference population for high-resolution mapping and subsequently identifying genes underlying the QTL, namely the Collaborative Cross (CC) mouse genetic reference population (GRP) was recently developed. In this chapter, we discuss a variety of approaches using CC mice for mapping genes underlying quantitative trait loci (QTL) to dissect the host response to polygenic traits, including infectious disease caused by bacterial agents and its toxins.
AB - Infection is one of the leading causes of human mortality and morbidity. Exposure to microbial agents is obviously required. However, also non-microbial environmental and host factors play a key role in the onset, development and outcome of infectious disease, resulting in large of clinical variability between individuals in a population infected with the same microbe. Controlled and standardized investigations of the genetics of susceptibility to infectious disease are almost impossible to perform in humans whereas mouse models allow application of powerful genomic techniques to identify and validate causative genes underlying human diseases with complex etiologies. Most of current animal models used in complex traits diseases genetic mapping have limited genetic diversity. This limitation impedes the ability to create incorporated network using genetic interactions, epigenetics, environmental factors, microbiota, and other phenotypes. A novel mouse genetic reference population for high-resolution mapping and subsequently identifying genes underlying the QTL, namely the Collaborative Cross (CC) mouse genetic reference population (GRP) was recently developed. In this chapter, we discuss a variety of approaches using CC mice for mapping genes underlying quantitative trait loci (QTL) to dissect the host response to polygenic traits, including infectious disease caused by bacterial agents and its toxins.
KW - Bacterial infections
KW - Collaborative Cross mice
KW - Heritability
KW - Host response
KW - QTL and fi ne mapping
KW - Recombinant inbred lines
UR - http://www.scopus.com/inward/record.url?scp=85006012955&partnerID=8YFLogxK
U2 - 10.1007/978-1-4939-6427-7_27
DO - 10.1007/978-1-4939-6427-7_27
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C2 - 27933544
AN - SCOPUS:85006012955
T3 - Methods in Molecular Biology
SP - 551
EP - 578
BT - Methods in Molecular Biology
PB - Humana Press Inc.
ER -