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Concept and design of a genome-wide association genotyping array tailored for transplantation-specific studies
BACKGROUND: In addition to HLA genetic incompatibility, non-HLA difference between donor and recipients of transplantation leading to allograft rejection are now becoming evident. We aimed to create a unique genome-wide platform to facilitate genomic research studies in transplant-related studies. W...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4589899/ https://www.ncbi.nlm.nih.gov/pubmed/26423053 http://dx.doi.org/10.1186/s13073-015-0211-x |
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author | Li, Yun R. van Setten, Jessica Verma, Shefali S. Lu, Yontao Holmes, Michael V. Gao, Hui Lek, Monkol Nair, Nikhil Chandrupatla, Hareesh Chang, Baoli Karczewski, Konrad J. Wong, Chanel Mohebnasab, Maede Mukhtar, Eyas Phillips, Randy Tragante, Vinicius Hou, Cuiping Steel, Laura Lee, Takesha Garifallou, James Guettouche, Toumy Cao, Hongzhi Guan, Weihua Himes, Aubree van Houten, Jacob Pasquier, Andrew Yu, Reina Carrigan, Elena Miller, Michael B. Schladt, David Akdere, Abdullah Gonzalez, Ana Llyod, Kelsey M. McGinn, Daniel Gangasani, Abhinav Michaud, Zach Colasacco, Abigail Snyder, James Thomas, Kelly Wang, Tiancheng Wu, Baolin Alzahrani, Alhusain J. Al-Ali, Amein K. Al-Muhanna, Fahad A. Al-Rubaish, Abdullah M. Al-Mueilo, Samir Monos, Dimitri S. Murphy, Barbara Olthoff, Kim M. Wijmenga, Cisca Webster, Teresa Kamoun, Malek Balasubramanian, Suganthi Lanktree, Matthew B. Oetting, William S. Garcia-Pavia, Pablo MacArthur, Daniel G. de Bakker, Paul I W Hakonarson, Hakon Birdwell, Kelly A. Jacobson, Pamala A. Ritchie, Marylyn D. Asselbergs, Folkert W. Israni, Ajay K. Shaked, Abraham Keating, Brendan J. |
author_facet | Li, Yun R. van Setten, Jessica Verma, Shefali S. Lu, Yontao Holmes, Michael V. Gao, Hui Lek, Monkol Nair, Nikhil Chandrupatla, Hareesh Chang, Baoli Karczewski, Konrad J. Wong, Chanel Mohebnasab, Maede Mukhtar, Eyas Phillips, Randy Tragante, Vinicius Hou, Cuiping Steel, Laura Lee, Takesha Garifallou, James Guettouche, Toumy Cao, Hongzhi Guan, Weihua Himes, Aubree van Houten, Jacob Pasquier, Andrew Yu, Reina Carrigan, Elena Miller, Michael B. Schladt, David Akdere, Abdullah Gonzalez, Ana Llyod, Kelsey M. McGinn, Daniel Gangasani, Abhinav Michaud, Zach Colasacco, Abigail Snyder, James Thomas, Kelly Wang, Tiancheng Wu, Baolin Alzahrani, Alhusain J. Al-Ali, Amein K. Al-Muhanna, Fahad A. Al-Rubaish, Abdullah M. Al-Mueilo, Samir Monos, Dimitri S. Murphy, Barbara Olthoff, Kim M. Wijmenga, Cisca Webster, Teresa Kamoun, Malek Balasubramanian, Suganthi Lanktree, Matthew B. Oetting, William S. Garcia-Pavia, Pablo MacArthur, Daniel G. de Bakker, Paul I W Hakonarson, Hakon Birdwell, Kelly A. Jacobson, Pamala A. Ritchie, Marylyn D. Asselbergs, Folkert W. Israni, Ajay K. Shaked, Abraham Keating, Brendan J. |
author_sort | Li, Yun R. |
collection | PubMed |
description | BACKGROUND: In addition to HLA genetic incompatibility, non-HLA difference between donor and recipients of transplantation leading to allograft rejection are now becoming evident. We aimed to create a unique genome-wide platform to facilitate genomic research studies in transplant-related studies. We designed a genome-wide genotyping tool based on the most recent human genomic reference datasets, and included customization for known and potentially relevant metabolic and pharmacological loci relevant to transplantation. METHODS: We describe here the design and implementation of a customized genome-wide genotyping array, the ‘TxArray’, comprising approximately 782,000 markers with tailored content for deeper capture of variants across HLA, KIR, pharmacogenomic, and metabolic loci important in transplantation. To test concordance and genotyping quality, we genotyped 85 HapMap samples on the array, including eight trios. RESULTS: We show low Mendelian error rates and high concordance rates for HapMap samples (average parent-parent-child heritability of 0.997, and concordance of 0.996). We performed genotype imputation across autosomal regions, masking directly genotyped SNPs to assess imputation accuracy and report an accuracy of >0.962 for directly genotyped SNPs. We demonstrate much higher capture of the natural killer cell immunoglobulin-like receptor (KIR) region versus comparable platforms. Overall, we show that the genotyping quality and coverage of the TxArray is very high when compared to reference samples and to other genome-wide genotyping platforms. CONCLUSIONS: We have designed a comprehensive genome-wide genotyping tool which enables accurate association testing and imputation of ungenotyped SNPs, facilitating powerful and cost-effective large-scale genotyping of transplant-related studies. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s13073-015-0211-x) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-4589899 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-45898992015-10-02 Concept and design of a genome-wide association genotyping array tailored for transplantation-specific studies Li, Yun R. van Setten, Jessica Verma, Shefali S. Lu, Yontao Holmes, Michael V. Gao, Hui Lek, Monkol Nair, Nikhil Chandrupatla, Hareesh Chang, Baoli Karczewski, Konrad J. Wong, Chanel Mohebnasab, Maede Mukhtar, Eyas Phillips, Randy Tragante, Vinicius Hou, Cuiping Steel, Laura Lee, Takesha Garifallou, James Guettouche, Toumy Cao, Hongzhi Guan, Weihua Himes, Aubree van Houten, Jacob Pasquier, Andrew Yu, Reina Carrigan, Elena Miller, Michael B. Schladt, David Akdere, Abdullah Gonzalez, Ana Llyod, Kelsey M. McGinn, Daniel Gangasani, Abhinav Michaud, Zach Colasacco, Abigail Snyder, James Thomas, Kelly Wang, Tiancheng Wu, Baolin Alzahrani, Alhusain J. Al-Ali, Amein K. Al-Muhanna, Fahad A. Al-Rubaish, Abdullah M. Al-Mueilo, Samir Monos, Dimitri S. Murphy, Barbara Olthoff, Kim M. Wijmenga, Cisca Webster, Teresa Kamoun, Malek Balasubramanian, Suganthi Lanktree, Matthew B. Oetting, William S. Garcia-Pavia, Pablo MacArthur, Daniel G. de Bakker, Paul I W Hakonarson, Hakon Birdwell, Kelly A. Jacobson, Pamala A. Ritchie, Marylyn D. Asselbergs, Folkert W. Israni, Ajay K. Shaked, Abraham Keating, Brendan J. Genome Med Research BACKGROUND: In addition to HLA genetic incompatibility, non-HLA difference between donor and recipients of transplantation leading to allograft rejection are now becoming evident. We aimed to create a unique genome-wide platform to facilitate genomic research studies in transplant-related studies. We designed a genome-wide genotyping tool based on the most recent human genomic reference datasets, and included customization for known and potentially relevant metabolic and pharmacological loci relevant to transplantation. METHODS: We describe here the design and implementation of a customized genome-wide genotyping array, the ‘TxArray’, comprising approximately 782,000 markers with tailored content for deeper capture of variants across HLA, KIR, pharmacogenomic, and metabolic loci important in transplantation. To test concordance and genotyping quality, we genotyped 85 HapMap samples on the array, including eight trios. RESULTS: We show low Mendelian error rates and high concordance rates for HapMap samples (average parent-parent-child heritability of 0.997, and concordance of 0.996). We performed genotype imputation across autosomal regions, masking directly genotyped SNPs to assess imputation accuracy and report an accuracy of >0.962 for directly genotyped SNPs. We demonstrate much higher capture of the natural killer cell immunoglobulin-like receptor (KIR) region versus comparable platforms. Overall, we show that the genotyping quality and coverage of the TxArray is very high when compared to reference samples and to other genome-wide genotyping platforms. CONCLUSIONS: We have designed a comprehensive genome-wide genotyping tool which enables accurate association testing and imputation of ungenotyped SNPs, facilitating powerful and cost-effective large-scale genotyping of transplant-related studies. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s13073-015-0211-x) contains supplementary material, which is available to authorized users. BioMed Central 2015-10-01 /pmc/articles/PMC4589899/ /pubmed/26423053 http://dx.doi.org/10.1186/s13073-015-0211-x Text en © Li et al. 2015 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 Li, Yun R. van Setten, Jessica Verma, Shefali S. Lu, Yontao Holmes, Michael V. Gao, Hui Lek, Monkol Nair, Nikhil Chandrupatla, Hareesh Chang, Baoli Karczewski, Konrad J. Wong, Chanel Mohebnasab, Maede Mukhtar, Eyas Phillips, Randy Tragante, Vinicius Hou, Cuiping Steel, Laura Lee, Takesha Garifallou, James Guettouche, Toumy Cao, Hongzhi Guan, Weihua Himes, Aubree van Houten, Jacob Pasquier, Andrew Yu, Reina Carrigan, Elena Miller, Michael B. Schladt, David Akdere, Abdullah Gonzalez, Ana Llyod, Kelsey M. McGinn, Daniel Gangasani, Abhinav Michaud, Zach Colasacco, Abigail Snyder, James Thomas, Kelly Wang, Tiancheng Wu, Baolin Alzahrani, Alhusain J. Al-Ali, Amein K. Al-Muhanna, Fahad A. Al-Rubaish, Abdullah M. Al-Mueilo, Samir Monos, Dimitri S. Murphy, Barbara Olthoff, Kim M. Wijmenga, Cisca Webster, Teresa Kamoun, Malek Balasubramanian, Suganthi Lanktree, Matthew B. Oetting, William S. Garcia-Pavia, Pablo MacArthur, Daniel G. de Bakker, Paul I W Hakonarson, Hakon Birdwell, Kelly A. Jacobson, Pamala A. Ritchie, Marylyn D. Asselbergs, Folkert W. Israni, Ajay K. Shaked, Abraham Keating, Brendan J. Concept and design of a genome-wide association genotyping array tailored for transplantation-specific studies |
title | Concept and design of a genome-wide association genotyping array tailored for transplantation-specific studies |
title_full | Concept and design of a genome-wide association genotyping array tailored for transplantation-specific studies |
title_fullStr | Concept and design of a genome-wide association genotyping array tailored for transplantation-specific studies |
title_full_unstemmed | Concept and design of a genome-wide association genotyping array tailored for transplantation-specific studies |
title_short | Concept and design of a genome-wide association genotyping array tailored for transplantation-specific studies |
title_sort | concept and design of a genome-wide association genotyping array tailored for transplantation-specific studies |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4589899/ https://www.ncbi.nlm.nih.gov/pubmed/26423053 http://dx.doi.org/10.1186/s13073-015-0211-x |
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