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Hosking, C.

Publications and source records attributed to Hosking, C..

3 recordsLinked to original sources

BitEpi: A Fast and Accurate Exhaustive Higher-Order Epistasis Search

MotivationComplex genetic diseases may be modulated by a large number of epistatic interactions affecting a polygenic phenotype. Identifying these interactions is difficult due to computational complexity, especially in the case of higher-order interactions where more than two genomic variants are involved. ResultsIn this paper, we present BitEpi, a fast and accurate method to test all possible combinations of up to four bi-allelic variants (i.e. Single Nucleotide Variant or SNV for short). BitEpi introduces a novel bitwise algorithm that is 2.1 and 56 times faster for 3-SNV and 4-SNV search, than established software. The novel entropy statistic used in BitEpi is 44% more accurate to identify interactive SNVs, incorporating a p-value-based significance testing. We demonstrate BitEpi on real world data of 4,900 samples and 87,000 SNPs. We also present EpiExplorer to visualize the potentially large number of individual and interacting SNVs in an interactive Cytoscape graph. EpiExplorer uses various visual elements to facilitate the discovery of true biological events in a complex polygenic environment.

bioinformatics↗

Simulating isolated populations to identify emerging genetic structure in the absence of selection

Conservation efforts are often informed by measures of genetic structure within or between isolated populations. We have established a simulation approach to investigate how isolated or captive populations can display misleading (i.e recently acquired) genetic structure as a result of genetic drift. We utilized a combination of softwares to generate isolated population genetic datasets that allow interrogation of emerging genetic structure under a range of conditions. We have developed a new statistic, S, to describe the extent of differentiation due to genetic drift between two isolated populations within the clustering software, STRUCTURE. O_LIA novel method to infer the effects of genetic drift on structure among isolated populations C_LI Graphical Abstract O_FIG O_LINKSMALLFIG WIDTH=186 HEIGHT=200 SRC="FIGDIR/small/853895v1_ufig1.gif" ALT="Figure 1"> View larger version (50K): org.highwire.dtl.DTLVardef@19eabc7org.highwire.dtl.DTLVardef@1fc4cforg.highwire.dtl.DTLVardef@1b1f947org.highwire.dtl.DTLVardef@164c916_HPS_FORMAT_FIGEXP M_FIG C_FIG SPECIFICATIONS TABLE O_TBL View this table: org.highwire.dtl.DTLVardef@1cdff90org.highwire.dtl.DTLVardef@1455d67org.highwire.dtl.DTLVardef@f74715org.highwire.dtl.DTLVardef@5bbc66org.highwire.dtl.DTLVardef@adfae2_HPS_FORMAT_FIGEXP M_TBL C_TBL

genetics↗

Plasmodium-specific atypical memory B cells are not part of the long-lived memory response

A subset of atypical memory B cells accumulates in malaria and several infections, autoimmune disorders and aging in both humans and mice. It has been suggested these cells are exhausted long-lived memory B cells, and their accumulation may contribute to poor acquisition of long-lasting immunity to certain chronic infections, such as malaria and HIV. Here, we generated an immunoglobulin heavy chain knock-in mouse with a BCR that recognizes MSP1 of the rodent malaria parasite, Plasmodium chabaudi. In combination with a mosquito-initiated P. chabaudi infection, we show that Plasmodium-specific atypical memory B cells are short-lived and disappear upon natural resolution of chronic infection. These cells show features of activation, proliferation, DNA replication, and plasmablasts. Our data demonstrate that Plasmodium-specific atypical memory B cells are not a subset of long-lived memory B cells, but rather short-lived activated cells, and part of a physiologic ongoing B-cell response.

microbiology↗