Comparison of HapMap and 1000 genomes reference panels in a large-scale genome-wide association study

de Vries, P. S. et al. (2017) Comparison of HapMap and 1000 genomes reference panels in a large-scale genome-wide association study. PLoS ONE, 12(1), e0167742. (doi: 10.1371/journal.pone.0167742) (PMID:28107422) (PMCID:PMC5249120)

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An increasing number of genome-wide association (GWA) studies are now using the higher resolution 1000 Genomes Project reference panel (1000G) for imputation, with the expectation that 1000G imputation will lead to the discovery of additional associated loci when compared to HapMap imputation. In order to assess the improvement of 1000G over HapMap imputation in identifying associated loci, we compared the results of GWA studies of circulating fibrinogen based on the two reference panels. Using both HapMap and 1000G imputation we performed a meta-analysis of 22 studies comprising the same 91,953 individuals. We identified six additional signals using 1000G imputation, while 29 loci were associated using both HapMap and 1000G imputation. One locus identified using HapMap imputation was not significant using 1000G imputation. The genome-wide significance threshold of 5×10−8 is based on the number of independent statistical tests using HapMap imputation, and 1000G imputation may lead to further independent tests that should be corrected for. When using a stricter Bonferroni correction for the 1000G GWA study (P-value < 2.5×10−8), the number of loci significant only using HapMap imputation increased to 4 while the number of loci significant only using 1000G decreased to 5. In conclusion, 1000G imputation enabled the identification of 20% more loci than HapMap imputation, although the advantage of 1000G imputation became less clear when a stricter Bonferroni correction was used. More generally, our results provide insights that are applicable to the implementation of other dense reference panels that are under development

Item Type:Articles
Glasgow Author(s) Enlighten ID:Rumley, Dr Ann and Lowe, Professor Gordon and Stott J, Professor David and Sattar, Professor Naveed
Authors: de Vries, P. S., Sabater-Lleal, M., Chasman, D. I., Trompet, S., Ahluwalia, T. S., Teumer, A., Kleber, M. E., Chen, M.-H., Wang, J. J., Attia, J. R., Marioni, R. E., Steri, M., Weng, L.-C., Pool, R., Grossmann, V., Brody, J. A., Venturini, C., Tanaka, T., Rose, L. M., Oldmeadow, C., Mazur, J., Basu, S., Frånberg, M., Yang, Q., Ligthart, S., Hottenga, J. J., Rumley, A., Mulas, A., de Craen, A. J. M., Grotevendt, A., Taylor, K. D., Delgado, G. E., Kifley, A., Lopez, L. M., Berentzen, T. L., Mangino, M., Bandinelli, S., Morrison, A. C., Hamsten, A., Tofler, G., de Maat, M. P. M., Draisma, H. H. M., Lowe, G. D., Zoledziewska, M., Sattar, N., Lackner, K. J., Völker, U., McKnight, B., Huang, J., Holliday, E. G., McEvoy, M. A., Starr, J. M., Hysi, P. G., Hernandez, D. G., Guan, W., Rivadeneira, F., McArdle, W. L., Slagboom, P. E., Zeller, T., Psaty, B. M., Uitterlinden, A. G., de Geus, E. J. C., Stott, D. J., Binder, H., Hofman, A., Franco, O. H., Rotter, J. I., Ferrucci, L., Spector, T. D., Deary, I. J., März, W., Greinacher, A., Wild, P. S., Cucca, F., Boomsma, D. I., Watkins, H., Tang, W., Ridker, P. M., Jukema, J. W., Scott, R. J., Mitchell, P., Hansen, T., O'Donnell, C. J., Smith, N. L., Strachan, D. P., and Dehghan, A.
College/School:College of Medical Veterinary and Life Sciences > School of Cardiovascular & Metabolic Health
Journal Name:PLoS ONE
Publisher:Public Library of Science
ISSN (Online):1932-6203
Copyright Holders:CCO Public Domain Dedication
First Published:First published in PLoS ONE 12(1):e0167742
Publisher Policy:Reproduced under a creative commons license

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