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Quantification of adaptive forces on SNP rs1010211 due to viral zoonotic pathogens

Widespread genotyping of human populations in environmental homeostasis has created opportunities to quantify how environmental parameters affect the genomic distribution of variants in healthy populations. This represents an ongoing natural experiment upon the human species that can only be underst...

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Autores principales: Alsufyani, Daniah, Lindesay, James
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Netherlands 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9054996/
https://www.ncbi.nlm.nih.gov/pubmed/35426605
http://dx.doi.org/10.1007/s10867-022-09606-y
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author Alsufyani, Daniah
Lindesay, James
author_facet Alsufyani, Daniah
Lindesay, James
author_sort Alsufyani, Daniah
collection PubMed
description Widespread genotyping of human populations in environmental homeostasis has created opportunities to quantify how environmental parameters affect the genomic distribution of variants in healthy populations. This represents an ongoing natural experiment upon the human species that can only be understood through developing models of adaptation. By examining the information dynamics of optimal SNP distributions within such populations, “adaptive forces” on genomic variants can be quantified through comparisons between different populations. To this end, we are performing double-blind scans of SNPs in order to ascertain any potential smooth functional relationships between the frequencies of the variants and changes in quantified environmental parameters. At present, we have sequentially examined more than twenty thousand SNPs (on chromosome 3) of nine homeostatic native populations for potential adaptive flagging of the variants as functions of 15 environmental parameters. Our first significant flag has related rs1010211 to viral pathogens in mammalian hosts. Such pathogens present a significant risk for the emergence of new infectious diseases in humans. This genomic variant is within the gene TNIK, which is a germinal center kinase (GCK). GCKs are participants in both adaptive and innate immune regulation. However, the function of TNIK is not fully understood. We quantify the adaptive force on the C allele due to the pathogens as 0.04 GEU’s/viral species.
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spelling pubmed-90549962022-05-07 Quantification of adaptive forces on SNP rs1010211 due to viral zoonotic pathogens Alsufyani, Daniah Lindesay, James J Biol Phys Original Paper Widespread genotyping of human populations in environmental homeostasis has created opportunities to quantify how environmental parameters affect the genomic distribution of variants in healthy populations. This represents an ongoing natural experiment upon the human species that can only be understood through developing models of adaptation. By examining the information dynamics of optimal SNP distributions within such populations, “adaptive forces” on genomic variants can be quantified through comparisons between different populations. To this end, we are performing double-blind scans of SNPs in order to ascertain any potential smooth functional relationships between the frequencies of the variants and changes in quantified environmental parameters. At present, we have sequentially examined more than twenty thousand SNPs (on chromosome 3) of nine homeostatic native populations for potential adaptive flagging of the variants as functions of 15 environmental parameters. Our first significant flag has related rs1010211 to viral pathogens in mammalian hosts. Such pathogens present a significant risk for the emergence of new infectious diseases in humans. This genomic variant is within the gene TNIK, which is a germinal center kinase (GCK). GCKs are participants in both adaptive and innate immune regulation. However, the function of TNIK is not fully understood. We quantify the adaptive force on the C allele due to the pathogens as 0.04 GEU’s/viral species. Springer Netherlands 2022-04-15 2022-06 /pmc/articles/PMC9054996/ /pubmed/35426605 http://dx.doi.org/10.1007/s10867-022-09606-y Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Original Paper
Alsufyani, Daniah
Lindesay, James
Quantification of adaptive forces on SNP rs1010211 due to viral zoonotic pathogens
title Quantification of adaptive forces on SNP rs1010211 due to viral zoonotic pathogens
title_full Quantification of adaptive forces on SNP rs1010211 due to viral zoonotic pathogens
title_fullStr Quantification of adaptive forces on SNP rs1010211 due to viral zoonotic pathogens
title_full_unstemmed Quantification of adaptive forces on SNP rs1010211 due to viral zoonotic pathogens
title_short Quantification of adaptive forces on SNP rs1010211 due to viral zoonotic pathogens
title_sort quantification of adaptive forces on snp rs1010211 due to viral zoonotic pathogens
topic Original Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9054996/
https://www.ncbi.nlm.nih.gov/pubmed/35426605
http://dx.doi.org/10.1007/s10867-022-09606-y
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