The DOI matches its Crossref record; 17 of the 17 references it cites were found in a registry or an index.
Integrating sequence and array data to create an improved 1000 Genomes Project haplotype reference panel
Open accessAbstract
A major use of the 1000 Genomes Project (1000GP) data is genotype imputation in genome-wide association studies (GWAS). Here we develop a method to estimate haplotypes from low-coverage sequencing data that can take advantage of single-nucleotide polymorphism (SNP) microarray genotypes on the same samples. First the SNP array data are phased to build a backbone (or ‘scaffold’) of haplotypes across each chromosome. We then phase the sequence data ‘onto’ this haplotype scaffold. This approach can take advantage of relatedness between sequenced and non-sequenced samples to improve accuracy. We use this method to create a new 1000GP haplotype reference set for use by the human genetic community. Using a set of validation genotypes at SNP and bi-allelic indels we show that these haplotypes have lower genotype discordance and improved imputation performance into downstream GWAS samples, especially at low-frequency variants. 1000 Genomes imputation can increase the power of genome-wide association studies to detect genetic variants associated with human traits and diseases. Here, the authors develop a method to integrate and analyse low-coverage sequence data and SNP array data, and show that it improves imputation performance.
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Citations
Cites
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Metadata
- Authors
- Delaneau, O., Marchini, J., The 1000 Genomes Project Consortium, McVean, G. A., Donnelly, P., Lunter, G., Marchini, J. L., Myers, S., Gupta-Hinch, A., Iqbal, Z., Mathieson, I., Rimmer, A., Xifara, D. K., Kerasidou, A., Churchhouse, C., Delaneau, O., Altshuler, D. M., Gabriel, S. B., Lander, E. S., Gupta, N., Daly, M. J., DePristo, M. A., Banks, E., Bhatia, G., Carneiro, M. O., del Angel, G., Genovese, G., Handsaker, R. E., Hart, C., McCarroll, S. A., Nemesh, J. C., Poplin, R. E., Schaffner, S. F., Shakir, K., Sabeti, P. C., Grossman, S. R., Tabrizi, S., Tariya, R., Li, H., Reich, D., Durbin, R. M., Hurles, M. E., Balasubramaniam, S., Burton, J., Danecek, P., Keane, T. M., Kolb-Kokocinski, A., McCarthy, S., Stalker, J., Quail, M., Ayub, Q., Chen, Y., Coffey, A. J., Colonna, V., Huang, N., Jostins, L., Scally, A., Walter, K., Xue, Y., Zhang, Y., Blackburne, B., Lindsay, S. J., Ning, Z., Frankish, A., Harrow, J., Tyler-Smith, C., Abecasis, G. R., Kang, H. M., Anderson, P., Blackwell, T., Busonero, F., Fuchsberger, C., Jun, G., Maschio, A., Porcu, E., Sidore, C., Tan, A., Trost, M. K., Bentley, D. R., Grocock, R., Humphray, S., James, T., Kingsbury, Z., Bauer, M., Cheetham, R. K., Cox, T., Eberle, M., Murray, L., Shaw, R., Chakravarti, A., Clark, A. G., Keinan, A., Rodriguez-Flores, J. L., De La Vega, F. M., Degenhardt, J., Eichler, E. E., Flicek, P., Clarke, L., Leinonen, R., Smith, R. E., Zheng-Bradley, X., Beal, K., Cunningham, F., Herrero, J., McLaren, W. M., Ritchie, G. R. S., Barker, J., Kelman, G., Kulesha, E., Radhakrishnan, R., Roa, A., Smirnov, D., Streeter, I., Toneva, I., Gibbs, R. A., Dinh, H., Kovar, C., Lee, S., Lewis, L., Muzny, D., Reid, J., Wang, M., Yu, F., Bainbridge, M., Challis, D., Evani, U. S., Lu, J., Nagaswamy, U., Sabo, A., Wang, Y., Yu, J., Fowler, G., Hale, W., Kalra, D., Green, E. D., Knoppers, B. M., Korbel, J. O., Rausch, T., Sttz, A. M., Lee, C., Griffin, L., Hsieh, C.-H., Mills, R. E., von Grotthuss, M., Zhang, C., Shi, X., Lehrach, H., Sudbrak, R., Amstislavskiy, V. S., Lienhard, M., Mertes, F., Sultan, M., Timmermann, B., Yaspo, M.-L., Sudbrak, Herwig, R., Mardis, E. R., Wilson, R. K., Fulton, L., Fulton, R., Weinstock, G. M., Chinwalla, A., Ding, L., Dooling, D., Koboldt, D. C., McLellan, M. D., Wallis, J. W., Wendl, M. C., Zhang, Q., Marth, G. T., Garrison, E. P., Kural, D., Lee, W.-P., Leong, W. F., Ward, A. N., Wu, J., Zhang, M., Nickerson, D. A., Alkan, C., Hormozdiari, F., Ko, A., Sudmant, P. H., Schmidt, J. P., Davies, C. J., Gollub, J., Webster, T., Wong, B., Zhan, Y., Sherry, S. T., Xiao, C., Church, D., Ananiev, V., Belaia, Z., Beloslyudtsev, D., Bouk, N., Chen, C., Cohen, R., Cook, C., Garner, J., Hefferon, T., Kimelman, M., Liu, C., Lopez, J., Meric, P., Ostapchuk, Y., Phan, L., Ponomarov, S., Schneider, V., Shekhtman, E., Sirotkin, K., Slotta, D., Zhang, H., Wang, J., Fang, X., Guo, X., Jian, M., Jiang, H., Jin, X., Li, G., Li, J., Li, Y., Liu, X., Lu, Y., Ma, X., Tai, S., Tang, M., Wang, B., Wang, G., Wu, H., Wu, R., Yin, Y., Zhang, W., Zhao, J., Zhao, M., Zheng, X., Coin, L. J. M., Fang, L., Li, Q., Li, Z., Lin, H., Liu, B., Luo, R., Shao, H., Wang, B., Xie, Y., Ye, C., Yu, C., Zheng, H., Zhu, H., Cai, H., Cao, H., Su, Y., Tian, Z., Yang, H., Yang, L., Zhu, J., Cai, Z., Wang, J., Albrecht, M. W., Borodina, T. A., Auton, A., Yoon, S. C., Lihm, J., Makarov, V., Jin, H., Kim, W., Kim, K. C., Gottipati, S., Jones, D., Cooper, D. N., Ball, E. V., Stenson, P. D., Barnes, B., Kahn, S., Ye, K., Batzer, M. A., Konkel, M. K., Walker, J. A., MacArthur, D. G., Lek, M., Shriver, M. D., Bustamante, C. D., Gravel, S., Kenny, E. E., Kidd, J. M., Lacroute, P., Maples, B. K., Moreno-Estrada, A., Zakharia, F., Henn, B., Sandoval, K., Byrnes, J. K., Halperin, E., Baran, Y., Craig, D. W., Christoforides, A., Izatt, T., Kurdoglu, A. A., Sinari, S. A., Homer, N., Squire, K., Sebat, J., Bafna, V., Ye, K., Burchard, E. G., Hernandez, R. D., Gignoux, C. R., Haussler, D., Katzman, S. J., Kent, W. J., Howie, B., Ruiz-Linares, A., Dermitzakis, E. T., Lappalainen, T., Devine, S. E., Liu, X., Maroo, A., Tallon, L. J., Rosenfeld, J. A., Michelson, L. P., Angius, A., Cucca, F., Sanna, S., Bigham, A., Jones, C., Reinier, F., Li, Y., Lyons, R., Schlessinger, D., Awadalla, P., Hodgkinson, A., Oleksyk, T. K., Martinez-Cruzado, J. C., Fu, Y., Liu, X., Xiong, M., Jorde, L., Witherspoon, D., Xing, J., Browning, B. L., Hajirasouliha, I., Chen, K., Albers, C. A., Gerstein, M. B., Abyzov, A., Chen, J., Fu, Y., Habegger, L., Harmanci, A. O., Mu, X. J., Sisu, C., Balasubramanian, S., Jin, M., Khurana, E., Clarke, D., Michaelson, J. J., OSullivan, C., Barnes, K. C., Gharani, N., Toji, L. H., Gerry, N., Kaye, J. S., Kent, A., Mathias, R., Ossorio, P. N., Parker, M., Rotimi, C. N., Royal, C. D., Tishkoff, S., Via, M., Bodmer, W., Bedoya, G., Yang, G., You, C. J., Garcia-Montero, A., Orfao, A., Dutil, J., Brooks, L. D., Felsenfeld, A. L., McEwen, J. E., Clemm, N. C., Guyer, M. S., Peterson, J. L., Duncanson, A., Dunn, M., & Peltonenz, L.
- Venue
- Nature Communications
- Published
- 2014-06-13
- Volume
- 5
- Issue
- 1
- Pages
- 3934-3934
- ISSN
- 2041-1723 (ISSN-L)
- OpenAlex
- W2095859808
- Cited by
- 406
- References
- 17
- FWCI
- 16.44
- Type
- journal article
- Language
- en
- Open access
- bronze
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- Delaneau, O., Marchini, J., The 1000 Genomes Project Consortium, McVean, G. A., Donnelly, P., Lunter, G., Marchini, J. L., Myers, S., Gupta-Hinch, A., Iqbal, Z., Mathieson, I., Rimmer, A., Xifara, D. K., Kerasidou, A., Churchhouse, C., Delaneau, O., Altshuler, D. M., Gabriel, S. B., Lander, E. S., . . . Peltonenz, L. (2014). Integrating sequence and array data to create an improved 1000 Genomes Project haplotype reference panel. Nature Communications. https://doi.org/10.1038/ncomms4934
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