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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Format: | Article |
Language: | English |
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Nature Portfolio
2021-12-01
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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. |
first_indexed | 2024-12-15T00:29:21Z |
format | Article |
id | doaj.art-2f344b604f5f44a89a672869f1c6b74c |
institution | Directory Open Access Journal |
issn | 2730-664X |
language | English |
last_indexed | 2024-12-15T00:29:21Z |
publishDate | 2021-12-01 |
publisher | Nature Portfolio |
record_format | Article |
series | Communications Medicine |
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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