Estimating heritability of glycaemic response to metformin using nationwide electronic health records and population-sized pedigree

Kalka and Gavrieli et al. assessed the heritability of variation in the glycaemic response to metformin by leveraging electronic health records data gathered from a large cohort of patients with diabetes and combining it with pedigree information. The authors show that although the variability in th...

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Autores principales:	Iris N. Kalka, Amir Gavrieli, Smadar Shilo, Hagai Rossman, Nitzan Shalom Artzi, Nancy-Sarah Yacovzada, Eran Segal
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Medicine R
Acceso en línea:	https://doaj.org/article/2f344b604f5f44a89a672869f1c6b74c
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spelling	oai:doaj.org-article:2f344b604f5f44a89a672869f1c6b74c2021-12-05T12:11:07ZEstimating heritability of glycaemic response to metformin using nationwide electronic health records and population-sized pedigree10.1038/s43856-021-00058-42730-664Xhttps://doaj.org/article/2f344b604f5f44a89a672869f1c6b74c2021-12-01T00:00:00Zhttps://doi.org/10.1038/s43856-021-00058-4https://doaj.org/toc/2730-664XKalka and Gavrieli et al. assessed the heritability of variation in the glycaemic response to metformin by leveraging electronic health records data gathered from a large cohort of patients with diabetes and combining it with pedigree information. The authors show that although the variability in this response has a heritable component, most of it is likely non-genetic.Iris N. KalkaAmir GavrieliSmadar ShiloHagai RossmanNitzan Shalom ArtziNancy-Sarah YacovzadaEran SegalNature PortfolioarticleMedicineRENCommunications Medicine, Vol 1, Iss 1, Pp 1-9 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R
spellingShingle	Medicine R Iris N. Kalka Amir Gavrieli Smadar Shilo Hagai Rossman Nitzan Shalom Artzi Nancy-Sarah Yacovzada Eran Segal Estimating heritability of glycaemic response to metformin using nationwide electronic health records and population-sized pedigree
description	Kalka and Gavrieli et al. assessed the heritability of variation in the glycaemic response to metformin by leveraging electronic health records data gathered from a large cohort of patients with diabetes and combining it with pedigree information. The authors show that although the variability in this response has a heritable component, most of it is likely non-genetic.
format	article
author	Iris N. Kalka Amir Gavrieli Smadar Shilo Hagai Rossman Nitzan Shalom Artzi Nancy-Sarah Yacovzada Eran Segal
author_facet	Iris N. Kalka Amir Gavrieli Smadar Shilo Hagai Rossman Nitzan Shalom Artzi Nancy-Sarah Yacovzada Eran Segal
author_sort	Iris N. Kalka
title	Estimating heritability of glycaemic response to metformin using nationwide electronic health records and population-sized pedigree
title_short	Estimating heritability of glycaemic response to metformin using nationwide electronic health records and population-sized pedigree
title_full	Estimating heritability of glycaemic response to metformin using nationwide electronic health records and population-sized pedigree
title_fullStr	Estimating heritability of glycaemic response to metformin using nationwide electronic health records and population-sized pedigree
title_full_unstemmed	Estimating heritability of glycaemic response to metformin using nationwide electronic health records and population-sized pedigree
title_sort	estimating heritability of glycaemic response to metformin using nationwide electronic health records and population-sized pedigree
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/2f344b604f5f44a89a672869f1c6b74c
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Estimating heritability of glycaemic response to metformin using nationwide electronic health records and population-sized pedigree

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