Estimating genetic effects on susceptibility and infectivity for infectious diseases

Floor Biemans, P. Bijma, M.C.M. de Jong

Research output: Contribution to conferencePosterAcademic

Abstract

Transmission of infectious diseases is determined by susceptibility and infectivity of the individuals involved. An individual’s genes for susceptibility affect the disease status of the individual itself, and thus represent a direct genetic effect. An individual’s genes for infectivity, on the other hand, affect the disease status of other individuals, and thus represent a so-called indirect genetic effect (IGE). An IGE is a genetic effect of an individual on the phenotype of another individual. IGEs have been studied extensively in evolutionary biology, and can have profound effects on the rate and direction of evolution by natural selection. In genetic studies on infectious diseases, the current focus is largely on susceptibility, whereas genetics of infectivity can have major effects on disease transmission. However, little is known about the genetic background of infectivity. We show how genetic effects on susceptibility and infectivity can be estimated simultaneously from time-series data on disease status of individuals. An endemic disease was simulated, and the disease status (0/1) and genotype of individuals were recorded at several points in time. These data were analysed using a generalized linear model (GLM) with a complementary log-log link function. The model included two genetic terms: i) the genotype of the focal individual, representing susceptibility, and ii) the average genotype of its infected social partners (contacts), representing infectivity. First results showed that estimated genetic effects were almost unbiased. This work, therefore, provides a tool for genome-wide association studies aiming to identify genomic regions affecting susceptibility and infectivity of individuals to endemic diseases.
Original languageEnglish
Publication statusPublished - 29 Aug 2014
EventIGES 2014 (International Genetic Epidemiology Society) - Vienna, Austria
Duration: 28 Aug 201430 Aug 2014

Conference

ConferenceIGES 2014 (International Genetic Epidemiology Society)
CountryAustria
CityVienna
Period28/08/1430/08/14

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infectious diseases
pathogenicity
genotype
disease transmission
genetic background
natural selection
disease resistance
time series analysis
genes
linear models
genomics
phenotype
Biological Sciences

Cite this

Biemans, F., Bijma, P., & de Jong, M. C. M. (2014). Estimating genetic effects on susceptibility and infectivity for infectious diseases. Poster session presented at IGES 2014 (International Genetic Epidemiology Society), Vienna, Austria.
Biemans, Floor ; Bijma, P. ; de Jong, M.C.M. / Estimating genetic effects on susceptibility and infectivity for infectious diseases. Poster session presented at IGES 2014 (International Genetic Epidemiology Society), Vienna, Austria.
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Biemans, F, Bijma, P & de Jong, MCM 2014, 'Estimating genetic effects on susceptibility and infectivity for infectious diseases' IGES 2014 (International Genetic Epidemiology Society), Vienna, Austria, 28/08/14 - 30/08/14, .

Estimating genetic effects on susceptibility and infectivity for infectious diseases. / Biemans, Floor; Bijma, P.; de Jong, M.C.M.

2014. Poster session presented at IGES 2014 (International Genetic Epidemiology Society), Vienna, Austria.

Research output: Contribution to conferencePosterAcademic

TY - CONF

T1 - Estimating genetic effects on susceptibility and infectivity for infectious diseases

AU - Biemans, Floor

AU - Bijma, P.

AU - de Jong, M.C.M.

PY - 2014/8/29

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Biemans F, Bijma P, de Jong MCM. Estimating genetic effects on susceptibility and infectivity for infectious diseases. 2014. Poster session presented at IGES 2014 (International Genetic Epidemiology Society), Vienna, Austria.