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Biological Measures in the WLS: Genetic and Microbiome Data

Ever since releasing genotype data in 2017, the WLS continually expands resources available to users interested in genetic research. Key advantages to the WLS data for genetics research include its sibling sample and nearly full life course longitudinal study design. In 2021, we now have state-of-th...

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Autor principal: Sicinski, Kamil
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8681896/
http://dx.doi.org/10.1093/geroni/igab046.853
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author Sicinski, Kamil
author_facet Sicinski, Kamil
author_sort Sicinski, Kamil
collection PubMed
description Ever since releasing genotype data in 2017, the WLS continually expands resources available to users interested in genetic research. Key advantages to the WLS data for genetics research include its sibling sample and nearly full life course longitudinal study design. In 2021, we now have state-of-the-art polygenic scores available in multiple domains, such as health, cognition, fertility, personality, risk behaviors and attitudes, and life satisfaction. The scores cover phenotypes spanning from adventurousness, through educational attainment, to age at which voice deepened. Additionally, the genotype data was re-imputed in 2021 to the superior Haplotype Reference Consortium reference panel and the WLS expects to obtain copy number variants data next year. In addition to genetic data, we have a set of novel microbiome data on a subset of participants that allows researchers to study relationships between environments and gut microbial composition.
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spelling pubmed-86818962021-12-17 Biological Measures in the WLS: Genetic and Microbiome Data Sicinski, Kamil Innov Aging Abstracts Ever since releasing genotype data in 2017, the WLS continually expands resources available to users interested in genetic research. Key advantages to the WLS data for genetics research include its sibling sample and nearly full life course longitudinal study design. In 2021, we now have state-of-the-art polygenic scores available in multiple domains, such as health, cognition, fertility, personality, risk behaviors and attitudes, and life satisfaction. The scores cover phenotypes spanning from adventurousness, through educational attainment, to age at which voice deepened. Additionally, the genotype data was re-imputed in 2021 to the superior Haplotype Reference Consortium reference panel and the WLS expects to obtain copy number variants data next year. In addition to genetic data, we have a set of novel microbiome data on a subset of participants that allows researchers to study relationships between environments and gut microbial composition. Oxford University Press 2021-12-17 /pmc/articles/PMC8681896/ http://dx.doi.org/10.1093/geroni/igab046.853 Text en © The Author(s) 2021. Published by Oxford University Press on behalf of The Gerontological Society of America. https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) ), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Abstracts
Sicinski, Kamil
Biological Measures in the WLS: Genetic and Microbiome Data
title Biological Measures in the WLS: Genetic and Microbiome Data
title_full Biological Measures in the WLS: Genetic and Microbiome Data
title_fullStr Biological Measures in the WLS: Genetic and Microbiome Data
title_full_unstemmed Biological Measures in the WLS: Genetic and Microbiome Data
title_short Biological Measures in the WLS: Genetic and Microbiome Data
title_sort biological measures in the wls: genetic and microbiome data
topic Abstracts
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8681896/
http://dx.doi.org/10.1093/geroni/igab046.853
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