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Genetic studies of plasma analytes identify novel potential biomarkers for several complex traits
Genome-wide association studies of 146 plasma protein levels in 818 individuals revealed 56 genome-wide significant associations (28 novel) with 47 analytes. Loci associated with plasma levels of 39 proteins tested have been previously associated with various complex traits such as heart disease, in...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4698720/ https://www.ncbi.nlm.nih.gov/pubmed/36647296 http://dx.doi.org/10.1038/srep18092 |
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author | Deming, Yuetiva Xia, Jian Cai, Yefei Lord, Jenny Del-Aguila, Jorge L. Fernandez, Maria Victoria Carrell, David Black, Kathleen Budde, John Ma, ShengMei Saef, Benjamin Howells, Bill Bertelsen, Sarah Bailey, Matthew Ridge, Perry G. Holtzman, David Morris, John C. Bales, Kelly Pickering, Eve H. Lee, Jin-Moo Heitsch, Laura Kauwe, John Goate, Alison Piccio, Laura Cruchaga, Carlos |
author_facet | Deming, Yuetiva Xia, Jian Cai, Yefei Lord, Jenny Del-Aguila, Jorge L. Fernandez, Maria Victoria Carrell, David Black, Kathleen Budde, John Ma, ShengMei Saef, Benjamin Howells, Bill Bertelsen, Sarah Bailey, Matthew Ridge, Perry G. Holtzman, David Morris, John C. Bales, Kelly Pickering, Eve H. Lee, Jin-Moo Heitsch, Laura Kauwe, John Goate, Alison Piccio, Laura Cruchaga, Carlos |
author_sort | Deming, Yuetiva |
collection | PubMed |
description | Genome-wide association studies of 146 plasma protein levels in 818 individuals revealed 56 genome-wide significant associations (28 novel) with 47 analytes. Loci associated with plasma levels of 39 proteins tested have been previously associated with various complex traits such as heart disease, inflammatory bowel disease, Type 2 diabetes, and multiple sclerosis. These data suggest that these plasma protein levels may constitute informative endophenotypes for these complex traits. We found three potential pleiotropic genes: ABO for plasma SELE and ACE levels, FUT2 for CA19-9 and CEA plasma levels, and APOE for ApoE and CRP levels. We also found multiple independent signals in loci associated with plasma levels of ApoH, CA19-9, FetuinA, IL6r, and LPa. Our study highlights the power of biological traits for genetic studies to identify genetic variants influencing clinically relevant traits, potential pleiotropic effects, and complex disease associations in the same locus. |
format | Online Article Text |
id | pubmed-4698720 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Nature Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-46987202016-01-13 Genetic studies of plasma analytes identify novel potential biomarkers for several complex traits Deming, Yuetiva Xia, Jian Cai, Yefei Lord, Jenny Del-Aguila, Jorge L. Fernandez, Maria Victoria Carrell, David Black, Kathleen Budde, John Ma, ShengMei Saef, Benjamin Howells, Bill Bertelsen, Sarah Bailey, Matthew Ridge, Perry G. Holtzman, David Morris, John C. Bales, Kelly Pickering, Eve H. Lee, Jin-Moo Heitsch, Laura Kauwe, John Goate, Alison Piccio, Laura Cruchaga, Carlos Sci Rep Article Genome-wide association studies of 146 plasma protein levels in 818 individuals revealed 56 genome-wide significant associations (28 novel) with 47 analytes. Loci associated with plasma levels of 39 proteins tested have been previously associated with various complex traits such as heart disease, inflammatory bowel disease, Type 2 diabetes, and multiple sclerosis. These data suggest that these plasma protein levels may constitute informative endophenotypes for these complex traits. We found three potential pleiotropic genes: ABO for plasma SELE and ACE levels, FUT2 for CA19-9 and CEA plasma levels, and APOE for ApoE and CRP levels. We also found multiple independent signals in loci associated with plasma levels of ApoH, CA19-9, FetuinA, IL6r, and LPa. Our study highlights the power of biological traits for genetic studies to identify genetic variants influencing clinically relevant traits, potential pleiotropic effects, and complex disease associations in the same locus. Nature Publishing Group 2016-01-04 /pmc/articles/PMC4698720/ /pubmed/36647296 http://dx.doi.org/10.1038/srep18092 Text en Copyright © 2016, Macmillan Publishers Limited http://creativecommons.org/licenses/by/4.0/ This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ |
spellingShingle | Article Deming, Yuetiva Xia, Jian Cai, Yefei Lord, Jenny Del-Aguila, Jorge L. Fernandez, Maria Victoria Carrell, David Black, Kathleen Budde, John Ma, ShengMei Saef, Benjamin Howells, Bill Bertelsen, Sarah Bailey, Matthew Ridge, Perry G. Holtzman, David Morris, John C. Bales, Kelly Pickering, Eve H. Lee, Jin-Moo Heitsch, Laura Kauwe, John Goate, Alison Piccio, Laura Cruchaga, Carlos Genetic studies of plasma analytes identify novel potential biomarkers for several complex traits |
title | Genetic studies of plasma analytes identify novel potential biomarkers for several complex traits |
title_full | Genetic studies of plasma analytes identify novel potential biomarkers for several complex traits |
title_fullStr | Genetic studies of plasma analytes identify novel potential biomarkers for several complex traits |
title_full_unstemmed | Genetic studies of plasma analytes identify novel potential biomarkers for several complex traits |
title_short | Genetic studies of plasma analytes identify novel potential biomarkers for several complex traits |
title_sort | genetic studies of plasma analytes identify novel potential biomarkers for several complex traits |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4698720/ https://www.ncbi.nlm.nih.gov/pubmed/36647296 http://dx.doi.org/10.1038/srep18092 |
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