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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Main Authors: Iris N. Kalka, Amir Gavrieli, Smadar Shilo, Hagai Rossman, Nitzan Shalom Artzi, Nancy-Sarah Yacovzada, Eran Segal
Format: Article
Language:English
Published: Nature Portfolio 2021-12-01
Series:Communications Medicine
Online Access:https://doi.org/10.1038/s43856-021-00058-4
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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
collection DOAJ
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.
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spelling doaj.art-2f344b604f5f44a89a672869f1c6b74c2022-12-21T22:42:03ZengNature PortfolioCommunications Medicine2730-664X2021-12-01111910.1038/s43856-021-00058-4Estimating heritability of glycaemic response to metformin using nationwide electronic health records and population-sized pedigreeIris N. Kalka0Amir Gavrieli1Smadar Shilo2Hagai Rossman3Nitzan Shalom Artzi4Nancy-Sarah Yacovzada5Eran Segal6Department of Computer Science and Applied Mathematics, Weizmann Institute of ScienceDepartment of Computer Science and Applied Mathematics, Weizmann Institute of ScienceDepartment of Computer Science and Applied Mathematics, Weizmann Institute of ScienceDepartment of Computer Science and Applied Mathematics, Weizmann Institute of ScienceDepartment of Computer Science and Applied Mathematics, Weizmann Institute of ScienceDepartment of Computer Science and Applied Mathematics, Weizmann Institute of ScienceDepartment of Computer Science and Applied Mathematics, Weizmann Institute of ScienceKalka 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.https://doi.org/10.1038/s43856-021-00058-4
spellingShingle 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
Communications Medicine
title 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_short 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
url https://doi.org/10.1038/s43856-021-00058-4
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