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Increasing mapping precision of genome-wide association studies: to genotype and impute, sequence, or both?
Fine-mapping to identify causal variants in genome-wide association studies remains challenging. A recent study provides guidance for future research.
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5474869/ https://www.ncbi.nlm.nih.gov/pubmed/28629446 http://dx.doi.org/10.1186/s13059-017-1255-6 |
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author | Wang, Zhaoming Chatterjee, Nilanjan |
author_facet | Wang, Zhaoming Chatterjee, Nilanjan |
author_sort | Wang, Zhaoming |
collection | PubMed |
description | Fine-mapping to identify causal variants in genome-wide association studies remains challenging. A recent study provides guidance for future research. |
format | Online Article Text |
id | pubmed-5474869 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-54748692017-06-21 Increasing mapping precision of genome-wide association studies: to genotype and impute, sequence, or both? Wang, Zhaoming Chatterjee, Nilanjan Genome Biol Research Highlight Fine-mapping to identify causal variants in genome-wide association studies remains challenging. A recent study provides guidance for future research. BioMed Central 2017-06-19 /pmc/articles/PMC5474869/ /pubmed/28629446 http://dx.doi.org/10.1186/s13059-017-1255-6 Text en © The Author(s). 2017 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Research Highlight Wang, Zhaoming Chatterjee, Nilanjan Increasing mapping precision of genome-wide association studies: to genotype and impute, sequence, or both? |
title | Increasing mapping precision of genome-wide association studies: to genotype and impute, sequence, or both? |
title_full | Increasing mapping precision of genome-wide association studies: to genotype and impute, sequence, or both? |
title_fullStr | Increasing mapping precision of genome-wide association studies: to genotype and impute, sequence, or both? |
title_full_unstemmed | Increasing mapping precision of genome-wide association studies: to genotype and impute, sequence, or both? |
title_short | Increasing mapping precision of genome-wide association studies: to genotype and impute, sequence, or both? |
title_sort | increasing mapping precision of genome-wide association studies: to genotype and impute, sequence, or both? |
topic | Research Highlight |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5474869/ https://www.ncbi.nlm.nih.gov/pubmed/28629446 http://dx.doi.org/10.1186/s13059-017-1255-6 |
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