دورية أكاديمية

Integrating sequence and array data to create an improved 1000 Genomes Project haplotype reference panel

التفاصيل البيبلوغرافية
العنوان: Integrating sequence and array data to create an improved 1000 Genomes Project haplotype reference panel
المؤلفون: Delaneau O., Marchini J., McVeanh 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., 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., Hartl, C., McCarroll, S.A., Nemesh J.C., Poplin, R.E., Schaffner, S.F., Shakir, K., Sabeti P.C., Grossman, S.R., Tabrizi, S., Tariyal, 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., Chris, T.-S., 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 LaVega 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., Herwig, S.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., Lachlan H., Fang L., Li Q., Li, Z., Lin H., Liu, B., Luo, R., Shao H., 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., 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., 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., Maroo, A., Tallon L.J., Rosenfeld J.A., Michelson L.P., Angius, A., Cucca F., Sanna, S., Bigham, A., Jones, C., Reinier F., Lyons, R., Schlessinger, D., Awadalla P., Hodgkinson, A., Oleksyk, T.K., Martinez-Cruzado J.C., Fu, Y., 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., 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., Peltonen L.
المصدر: Nature Communications
بيانات النشر: Nature Publishing Group
سنة النشر: 2014
المجموعة: Bilkent University: Institutional Repository
مصطلحات موضوعية: allele, genetic analysis, genome, genotype, polymorphism, accuracy, article, chromosome, chromosome 20, gene frequency, gene sequence, genetic association, haplotype, human, indel mutation, microarray analysis, reference database, single nucleotide polymorphism
الوصف: 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. © 2014 Macmillan Publishers Limited. All rights reserved.
نوع الوثيقة: article in journal/newspaper
وصف الملف: application/pdf
اللغة: English
تدمد: 20411723
العلاقة: http://dx.doi.org/10.1038/ncomms4934Test; http://hdl.handle.net/11693/25902Test
DOI: 10.1038/ncomms4934
الإتاحة: https://doi.org/10.1038/ncomms4934Test
http://hdl.handle.net/11693/25902Test
رقم الانضمام: edsbas.5FA70CD0
قاعدة البيانات: BASE
الوصف
تدمد:20411723
DOI:10.1038/ncomms4934