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Twin Studies: A Unique Epidemiological Tool
Twin studies are a special type of epidemiological studies designed to measure the contribution of genetics as opposed to the environment, to a given trait. Despite the facts that the classical twin studies are still being guided by assumptions made back in the 1920s and that the inherent limitation...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Medknow Publications & Media Pvt Ltd
2016
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4919929/ https://www.ncbi.nlm.nih.gov/pubmed/27385869 http://dx.doi.org/10.4103/0970-0218.183593 |
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author | Sahu, Monalisha Prasuna, Josyula G |
author_facet | Sahu, Monalisha Prasuna, Josyula G |
author_sort | Sahu, Monalisha |
collection | PubMed |
description | Twin studies are a special type of epidemiological studies designed to measure the contribution of genetics as opposed to the environment, to a given trait. Despite the facts that the classical twin studies are still being guided by assumptions made back in the 1920s and that the inherent limitation lies in the study design itself, the results suggested by earlier twin studies have often been confirmed by molecular genetic studies later. Use of twin registries and various innovative yet complex software packages such as the (SAS) and their extensions (e.g., SAS PROC GENMOD and SAS PROC PHREG) has increased the potential of this epidemiological tool toward contributing significantly to the field of genetics and other life sciences. |
format | Online Article Text |
id | pubmed-4919929 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Medknow Publications & Media Pvt Ltd |
record_format | MEDLINE/PubMed |
spelling | pubmed-49199292016-07-07 Twin Studies: A Unique Epidemiological Tool Sahu, Monalisha Prasuna, Josyula G Indian J Community Med CME Twin studies are a special type of epidemiological studies designed to measure the contribution of genetics as opposed to the environment, to a given trait. Despite the facts that the classical twin studies are still being guided by assumptions made back in the 1920s and that the inherent limitation lies in the study design itself, the results suggested by earlier twin studies have often been confirmed by molecular genetic studies later. Use of twin registries and various innovative yet complex software packages such as the (SAS) and their extensions (e.g., SAS PROC GENMOD and SAS PROC PHREG) has increased the potential of this epidemiological tool toward contributing significantly to the field of genetics and other life sciences. Medknow Publications & Media Pvt Ltd 2016 /pmc/articles/PMC4919929/ /pubmed/27385869 http://dx.doi.org/10.4103/0970-0218.183593 Text en Copyright: © Indian Journal of Community Medicine http://creativecommons.org/licenses/by-nc-sa/3.0 This is an open access article distributed under the terms of the Creative Commons Attribution NonCommercial ShareAlike 3.0 License, which allows others to remix, tweak, and build upon the work non commercially, as long as the author is credited and the new creations are licensed under the identical terms. |
spellingShingle | CME Sahu, Monalisha Prasuna, Josyula G Twin Studies: A Unique Epidemiological Tool |
title | Twin Studies: A Unique Epidemiological Tool |
title_full | Twin Studies: A Unique Epidemiological Tool |
title_fullStr | Twin Studies: A Unique Epidemiological Tool |
title_full_unstemmed | Twin Studies: A Unique Epidemiological Tool |
title_short | Twin Studies: A Unique Epidemiological Tool |
title_sort | twin studies: a unique epidemiological tool |
topic | CME |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4919929/ https://www.ncbi.nlm.nih.gov/pubmed/27385869 http://dx.doi.org/10.4103/0970-0218.183593 |
work_keys_str_mv | AT sahumonalisha twinstudiesauniqueepidemiologicaltool AT prasunajosyulag twinstudiesauniqueepidemiologicaltool |