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eMERGE Phenome-Wide Association Study (PheWAS) identifies clinical associations and pleiotropy for stop-gain variants
BACKGROUND: We explored premature stop-gain variants to test the hypothesis that variants, which are likely to have a consequence on protein structure and function, will reveal important insights with respect to the phenotypes associated with them. We performed a phenome-wide association study (PheW...
Autores principales: | , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4989894/ https://www.ncbi.nlm.nih.gov/pubmed/27535653 http://dx.doi.org/10.1186/s12920-016-0191-8 |
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author | Verma, Anurag Verma, Shefali S. Pendergrass, Sarah A. Crawford, Dana C. Crosslin, David R. Kuivaniemi, Helena Bush, William S. Bradford, Yuki Kullo, Iftikhar Bielinski, Suzette J. Li, Rongling Denny, Joshua C. Peissig, Peggy Hebbring, Scott De Andrade, Mariza Ritchie, Marylyn D. Tromp, Gerard |
author_facet | Verma, Anurag Verma, Shefali S. Pendergrass, Sarah A. Crawford, Dana C. Crosslin, David R. Kuivaniemi, Helena Bush, William S. Bradford, Yuki Kullo, Iftikhar Bielinski, Suzette J. Li, Rongling Denny, Joshua C. Peissig, Peggy Hebbring, Scott De Andrade, Mariza Ritchie, Marylyn D. Tromp, Gerard |
author_sort | Verma, Anurag |
collection | PubMed |
description | BACKGROUND: We explored premature stop-gain variants to test the hypothesis that variants, which are likely to have a consequence on protein structure and function, will reveal important insights with respect to the phenotypes associated with them. We performed a phenome-wide association study (PheWAS) exploring the association between a selected list of functional stop-gain genetic variants (variation resulting in truncated proteins or in nonsense-mediated decay) and an extensive group of diagnoses to identify novel associations and uncover potential pleiotropy. RESULTS: In this study, we selected 25 stop-gain variants: 5 stop-gain variants with previously reported phenotypic associations, and a set of 20 putative stop-gain variants identified using dbSNP. For the PheWAS, we used data from the electronic MEdical Records and GEnomics (eMERGE) Network across 9 sites with a total of 41,057 unrelated patients. We divided all these samples into two datasets by equal proportion of eMERGE site, sex, race, and genotyping platform. We calculated single effect associations between these 25 stop-gain variants and ICD-9 defined case-control diagnoses. We also performed stratified analyses for samples of European and African ancestry. Associations were adjusted for sex, site, genotyping platform and the first three principal components to account for global ancestry. We identified previously known associations, such as variants in LPL associated with hyperglyceridemia indicating that our approach was robust. We also found a total of three significant associations with p < 0.01 in both datasets, with the most significant replicating result being LPL SNP rs328 and ICD-9 code 272.1 “Disorder of Lipoid metabolism” (p(discovery) = 2.59x10-6, p(replicating) = 2.7x10-4). The other two significant replicated associations identified by this study are: variant rs1137617 in KCNH2 gene associated with ICD-9 code category 244 “Acquired Hypothyroidism” (p(discovery) = 5.31x103, p(replicating) = 1.15x10-3) and variant rs12060879 in DPT gene associated with ICD-9 code category 996 “Complications peculiar to certain specified procedures” (p(discovery) = 8.65x103, p(replicating) = 4.16x10-3). CONCLUSION: In conclusion, this PheWAS revealed novel associations of stop-gained variants with interesting phenotypes (ICD-9 codes) along with pleiotropic effects. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12920-016-0191-8) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-4989894 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-49898942016-08-30 eMERGE Phenome-Wide Association Study (PheWAS) identifies clinical associations and pleiotropy for stop-gain variants Verma, Anurag Verma, Shefali S. Pendergrass, Sarah A. Crawford, Dana C. Crosslin, David R. Kuivaniemi, Helena Bush, William S. Bradford, Yuki Kullo, Iftikhar Bielinski, Suzette J. Li, Rongling Denny, Joshua C. Peissig, Peggy Hebbring, Scott De Andrade, Mariza Ritchie, Marylyn D. Tromp, Gerard BMC Med Genomics Research BACKGROUND: We explored premature stop-gain variants to test the hypothesis that variants, which are likely to have a consequence on protein structure and function, will reveal important insights with respect to the phenotypes associated with them. We performed a phenome-wide association study (PheWAS) exploring the association between a selected list of functional stop-gain genetic variants (variation resulting in truncated proteins or in nonsense-mediated decay) and an extensive group of diagnoses to identify novel associations and uncover potential pleiotropy. RESULTS: In this study, we selected 25 stop-gain variants: 5 stop-gain variants with previously reported phenotypic associations, and a set of 20 putative stop-gain variants identified using dbSNP. For the PheWAS, we used data from the electronic MEdical Records and GEnomics (eMERGE) Network across 9 sites with a total of 41,057 unrelated patients. We divided all these samples into two datasets by equal proportion of eMERGE site, sex, race, and genotyping platform. We calculated single effect associations between these 25 stop-gain variants and ICD-9 defined case-control diagnoses. We also performed stratified analyses for samples of European and African ancestry. Associations were adjusted for sex, site, genotyping platform and the first three principal components to account for global ancestry. We identified previously known associations, such as variants in LPL associated with hyperglyceridemia indicating that our approach was robust. We also found a total of three significant associations with p < 0.01 in both datasets, with the most significant replicating result being LPL SNP rs328 and ICD-9 code 272.1 “Disorder of Lipoid metabolism” (p(discovery) = 2.59x10-6, p(replicating) = 2.7x10-4). The other two significant replicated associations identified by this study are: variant rs1137617 in KCNH2 gene associated with ICD-9 code category 244 “Acquired Hypothyroidism” (p(discovery) = 5.31x103, p(replicating) = 1.15x10-3) and variant rs12060879 in DPT gene associated with ICD-9 code category 996 “Complications peculiar to certain specified procedures” (p(discovery) = 8.65x103, p(replicating) = 4.16x10-3). CONCLUSION: In conclusion, this PheWAS revealed novel associations of stop-gained variants with interesting phenotypes (ICD-9 codes) along with pleiotropic effects. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12920-016-0191-8) contains supplementary material, which is available to authorized users. BioMed Central 2016-08-12 /pmc/articles/PMC4989894/ /pubmed/27535653 http://dx.doi.org/10.1186/s12920-016-0191-8 Text en © The Author(s). 2016 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 Verma, Anurag Verma, Shefali S. Pendergrass, Sarah A. Crawford, Dana C. Crosslin, David R. Kuivaniemi, Helena Bush, William S. Bradford, Yuki Kullo, Iftikhar Bielinski, Suzette J. Li, Rongling Denny, Joshua C. Peissig, Peggy Hebbring, Scott De Andrade, Mariza Ritchie, Marylyn D. Tromp, Gerard eMERGE Phenome-Wide Association Study (PheWAS) identifies clinical associations and pleiotropy for stop-gain variants |
title | eMERGE Phenome-Wide Association Study (PheWAS) identifies clinical associations and pleiotropy for stop-gain variants |
title_full | eMERGE Phenome-Wide Association Study (PheWAS) identifies clinical associations and pleiotropy for stop-gain variants |
title_fullStr | eMERGE Phenome-Wide Association Study (PheWAS) identifies clinical associations and pleiotropy for stop-gain variants |
title_full_unstemmed | eMERGE Phenome-Wide Association Study (PheWAS) identifies clinical associations and pleiotropy for stop-gain variants |
title_short | eMERGE Phenome-Wide Association Study (PheWAS) identifies clinical associations and pleiotropy for stop-gain variants |
title_sort | emerge phenome-wide association study (phewas) identifies clinical associations and pleiotropy for stop-gain variants |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4989894/ https://www.ncbi.nlm.nih.gov/pubmed/27535653 http://dx.doi.org/10.1186/s12920-016-0191-8 |
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