The human splicing code reveals new insights into the genetic determinants of disease

Author:

Xiong Hui Y.123,Alipanahi Babak123,Lee Leo J.123,Bretschneider Hannes134,Merico Daniele567,Yuen Ryan K. C.567,Hua Yimin8,Gueroussov Serge27,Najafabadi Hamed S.123,Hughes Timothy R.237,Morris Quaid1237,Barash Yoseph129,Krainer Adrian R.8,Jojic Nebojsa10,Scherer Stephen W.3567,Blencowe Benjamin J.257,Frey Brendan J.12345

Affiliation:

1. Department of Electrical and Computer Engineering, University of Toronto, Toronto, Ontario M5S 3G4, Canada.

2. Donnelly Centre for Cellular and Biomolecular Research, University of Toronto, Toronto, Ontario M5S 3E1, Canada.

3. Program on Genetic Networks and Program on Neural Computation & Adaptive Perception, Canadian Institute for Advanced Research, Toronto, Ontario M5G 1Z8, Canada.

4. Department of Computer Science, University of Toronto, Toronto, Ontario M5S 3G4, Canada.

5. McLaughlin Centre, University of Toronto, Toronto, Ontario M5G 0A4, Canada.

6. Centre for Applied Genomics, Hospital for Sick Children, Toronto, Ontario M5G 1X8, Canada.

7. Department of Molecular Genetics, University of Toronto, Toronto, Ontario M5S 1A8, Canada.

8. Cold Spring Harbor Laboratory, Cold Spring Harbor, NY 11724, USA.

9. School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA.

10. eScience Group, Microsoft Research, Redmond, WA 98052, USA.

Abstract

Predicting defects in RNA splicing Most eukaryotic messenger RNAs (mRNAs) are spliced to remove introns. Splicing generates uninterrupted open reading frames that can be translated into proteins. Splicing is often highly regulated, generating alternative spliced forms that code for variant proteins in different tissues. RNA-binding proteins that bind specific sequences in the mRNA regulate splicing. Xiong et al. develop a computational model that predicts splicing regulation for any mRNA sequence (see the Perspective by Guigó and Valcárcel). They use this to analyze more than half a million mRNA splicing sequence variants in the human genome. They are able to identify thousands of known disease-causing mutations, as well as many new disease candidates, including 17 new autism-linked genes. Science , this issue 10.1126/science.1254806 ; see also p. 124

Funder

NIH

Autism Speaks

Genome Canada

Canadian Institutes for Advanced Research (CIHR)

CIHR

Natural Sciences and Engineering Research Council of Canada (NSERC)

Ontario Genomics Institute (OGI)

OGI

University of Toronto McLaughlin Centre

McLaughlin

Autism Research Training Fellowship

CIHR Banting Fellowship

NSERC Alexander Graham Bell Scholarship

Publisher

American Association for the Advancement of Science (AAAS)

Subject

Multidisciplinary

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