Common sequence variants affect molecular function more than rare variants

作者: Yannick Mahlich , Jonas Reeb , Maximilian Hecht , Maria Schelling , Tjaart Andries Petrus De Beer

DOI: 10.1038/S41598-017-01054-2

关键词:

摘要: Any two unrelated individuals differ by about 10,000 single amino acid variants (SAVs). Do these impact molecular function? Experimental answers cannot answer comprehensively, while state-of-the-art prediction methods can. We predicted the functional impacts of SAVs within human and for between other species. Several surprising results stood out. Firstly, four (CADD, PolyPhen-2, SIFT, SNAP2) agreed 10 percentage points on rare with effect. However, they differed substantially common SAVs: SNAP2 predicted, average, more effect than SAVs. Given large ExAC data sets sampling 60,706 individuals, differences were extremely significant (p-value < 2.2e-16). provided evidence that might be closer to reality methods, due to its different focus in development. Secondly, we significantly higher fractions healthy species; difference increased distantly related The same trends maintained subsets only housekeeping proteins when moving from exomes 1,000 60,000 individuals. frozen at speciation maintain protein function, many a species bring crucial changes, better or worse.

参考文章(30)
Maximilian Hecht, Yana Bromberg, Burkhard Rost, Better prediction of functional effects for sequence variants BMC Genomics. ,vol. 16, pp. 1- 12 ,(2015) , 10.1186/1471-2164-16-S8-S1
Prateek Kumar, Steven Henikoff, Pauline C Ng, Predicting the effects of coding non-synonymous variants on protein function using the SIFT algorithm. Nature Protocols. ,vol. 4, pp. 1073- 1081 ,(2009) , 10.1038/NPROT.2009.86
James T.L. Mah, Esther S.H. Low, Edmund Lee, In silico SNP analysis and bioinformatics tools: a review of the state of the art to aid drug discovery. Drug Discovery Today. ,vol. 16, pp. 800- 809 ,(2011) , 10.1016/J.DRUDIS.2011.07.005
Robert J Tibshirani, Bradley Efron, An introduction to the bootstrap ,(1993)
Peter Rice, Ian Longden, Alan Bleasby, EMBOSS: The European Molecular Biology Open Software Suite Trends in Genetics. ,vol. 16, pp. 276- 277 ,(2000) , 10.1016/S0168-9525(00)02024-2
Y. Bromberg, P. C. Kahn, B. Rost, Neutral and weakly nonneutral sequence variants may define individuality Proceedings of the National Academy of Sciences of the United States of America. ,vol. 110, pp. 14255- 14260 ,(2013) , 10.1073/PNAS.1216613110
M. Meyer, M. Kircher, M.-T. Gansauge, H. Li, F. Racimo, S. Mallick, J. G. Schraiber, F. Jay, K. Prufer, C. de Filippo, P. H. Sudmant, C. Alkan, Q. Fu, R. Do, N. Rohland, A. Tandon, M. Siebauer, R. E. Green, K. Bryc, A. W. Briggs, U. Stenzel, J. Dabney, J. Shendure, J. Kitzman, M. F. Hammer, M. V. Shunkov, A. P. Derevianko, N. Patterson, A. M. Andres, E. E. Eichler, M. Slatkin, D. Reich, J. Kelso, S. Paabo, A high-coverage genome sequence from an archaic Denisovan individual Science. ,vol. 338, pp. 222- 226 ,(2012) , 10.1126/SCIENCE.1224344
Mark I McCarthy, Gonçalo R Abecasis, Lon R Cardon, David B Goldstein, Julian Little, John PA Ioannidis, Joel N Hirschhorn, None, Genome-wide association studies for complex traits: consensus, uncertainty and challenges Nature Reviews Genetics. ,vol. 9, pp. 356- 369 ,(2008) , 10.1038/NRG2344
Ivan A Adzhubei, Steffen Schmidt, Leonid Peshkin, Vasily E Ramensky, Anna Gerasimova, Peer Bork, Alexey S Kondrashov, Shamil R Sunyaev, A method and server for predicting damaging missense mutations Nature Methods. ,vol. 7, pp. 248- 249 ,(2010) , 10.1038/NMETH0410-248
Janita Thusberg, Ayodeji Olatubosun, Mauno Vihinen, Performance of mutation pathogenicity prediction methods on missense variants. Human Mutation. ,vol. 32, pp. 358- 368 ,(2011) , 10.1002/HUMU.21445