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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...

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Autores principales: 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.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2015
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.
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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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