Cargando…
Look, no hands! Spectral biomarkers from genetic association studies
Recent advances in our understanding of the genomics of the human metabolome have shed light on the pathways involved in metabolic and cardiovascular disease. Such studies crucially depend on the interpretation of complex molecular spectra. A recent study by Suhre and colleagues provides a way to id...
Autores principales: | , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2013
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3706812/ https://www.ncbi.nlm.nih.gov/pubmed/23510086 http://dx.doi.org/10.1186/gm418 |
_version_ | 1782276411281637376 |
---|---|
author | Inouye, Michael Abraham, Gad |
author_facet | Inouye, Michael Abraham, Gad |
author_sort | Inouye, Michael |
collection | PubMed |
description | Recent advances in our understanding of the genomics of the human metabolome have shed light on the pathways involved in metabolic and cardiovascular disease. Such studies crucially depend on the interpretation of complex molecular spectra. A recent study by Suhre and colleagues provides a way to identify potentially clinically relevant biomarkers without a priori information, such as reference spectra, thus aiding the discovery of additional spectral features and corresponding genomic loci associated with metabolism and disease. |
format | Online Article Text |
id | pubmed-3706812 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2013 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-37068122013-07-15 Look, no hands! Spectral biomarkers from genetic association studies Inouye, Michael Abraham, Gad Genome Med Research Highlight Recent advances in our understanding of the genomics of the human metabolome have shed light on the pathways involved in metabolic and cardiovascular disease. Such studies crucially depend on the interpretation of complex molecular spectra. A recent study by Suhre and colleagues provides a way to identify potentially clinically relevant biomarkers without a priori information, such as reference spectra, thus aiding the discovery of additional spectral features and corresponding genomic loci associated with metabolism and disease. BioMed Central 2013-02-15 /pmc/articles/PMC3706812/ /pubmed/23510086 http://dx.doi.org/10.1186/gm418 Text en Copyright © 2013 BioMed Central Ltd |
spellingShingle | Research Highlight Inouye, Michael Abraham, Gad Look, no hands! Spectral biomarkers from genetic association studies |
title | Look, no hands! Spectral biomarkers from genetic association studies |
title_full | Look, no hands! Spectral biomarkers from genetic association studies |
title_fullStr | Look, no hands! Spectral biomarkers from genetic association studies |
title_full_unstemmed | Look, no hands! Spectral biomarkers from genetic association studies |
title_short | Look, no hands! Spectral biomarkers from genetic association studies |
title_sort | look, no hands! spectral biomarkers from genetic association studies |
topic | Research Highlight |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3706812/ https://www.ncbi.nlm.nih.gov/pubmed/23510086 http://dx.doi.org/10.1186/gm418 |
work_keys_str_mv | AT inouyemichael looknohandsspectralbiomarkersfromgeneticassociationstudies AT abrahamgad looknohandsspectralbiomarkersfromgeneticassociationstudies |