Functional genetic variation in humans: Comprehensive map published
- Date:
- September 15, 2013
- Source:
- Université de Genève
- Summary:
- Scientists have presented a map that points to the genetic causes of differences between people. The study offers the largest-ever dataset linking human genomes to gene activity at the level of RNA.
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European scientists, led by researchers from the University of Geneva (UNIGE)'s Faculty of Medicine in the context of the GEUVADIS project, today present a map that points to the genetic causes of differences between people. The study, published in Nature and Nature Biotechnology, offers the largest-ever dataset linking human genomes to gene activity at the level of RNA.
Understanding how each person's unique genome makes them more or less susceptible to disease is one of the biggest challenges in science today. Geneticists study how different genetic profiles affect how certain genes are turned on or off in different people, which could be the cause of a number of genetic disorders.
Largest-ever human RNA sequencing study
Today's study, conducted by over 50 scientists from nine European institutes, measured gene activity (i.e. gene expression) by sequencing RNA in human cells from 462 individuals, whose full genome sequences had already been published as part of the 1000 Genomes Project. This study adds a functional interpretation to the most important catalogue of human genomes.
'The richness of genetic variation that affects the regulation of most of our genes surprised us,' says study coordinator Tuuli Lappalainen, previously at UNIGE and now at Stanford University. 'It is important that we figure out the general laws of how the human genome works, rather than just delving into individual genes.' The biological discovery was enabled by a staggering amount of RNA data from multiple human populations. 'We have set new standards for production, analysis and dissemination of large RNA-sequencing datasets,' adds Peter 't Hoen from Leiden University Medical Center, who coordinated technical analysis of the data.
A boost for personalised medicine
Knowing which genetic variants are responsible for differences in gene activity among individuals can give powerful clues for diagnosis, prognosis and intervention of different diseases. Senior author Emmanouil Dermitzakis, Louis Jeantet Professor at UNIGE, who led the study, emphasises that today's study has profound implications for genomic medicine.
'Understanding the cellular effects of disease-predisposing variants helps us understand causal mechanisms of disease,' professor Dermitzakis points out. 'This is essential for developing treatments in the future.'
A rich data resource for genetics community
All the data of the study are freely available though the ArrayExpress functional genomics archive at EMBL-EBI, led by Alvis Brazma who is part of the GEUVADIS analysis group. Open access to data and results allows independent researches to explore and re-analyse the data in different ways.
The GEUVADIS (Genetic European Variation in health and Disease) project, funded by the European Commission's FP7 programme, is led by Professor Xavier Estivill of the Center of Genomic Regulation (CRG) in Barcelona. 'We have created a valuable resource for the international human genomics community' says Dr. Estivill. 'We want other scientists to use our data, too.'
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Journal References:
- Tuuli Lappalainen, Michael Sammeth, Marc R. Friedländer, Peter A. C. ‘t Hoen, Jean Monlong, Manuel A. Rivas, Mar Gonzàlez-Porta, Natalja Kurbatova, Thasso Griebel, Pedro G. Ferreira, Matthias Barann, Thomas Wieland, Liliana Greger, Maarten van Iterson, Jonas Almlöf, Paolo Ribeca, Irina Pulyakhina, Daniela Esser, Thomas Giger, Andrew Tikhonov, Marc Sultan, Gabrielle Bertier, Daniel G. MacArthur, Monkol Lek, Esther Lizano, Henk P. J. Buermans, Ismael Padioleau, Thomas Schwarzmayr, Olof Karlberg, Halit Ongen, Helena Kilpinen, Sergi Beltran, Marta Gut, Katja Kahlem, Vyacheslav Amstislavskiy, Oliver Stegle, Matti Pirinen, Stephen B. Montgomery, Peter Donnelly, Mark I. McCarthy, Paul Flicek, Tim M. Strom, The Geuvadis Consortium, Hans Lehrach, Stefan Schreiber, Ralf Sudbrak, Ángel Carracedo, Stylianos E. Antonarakis, Robert Häsler, Ann-Christine Syvänen, Gert-Jan van Ommen, Alvis Brazma, Thomas Meitinger, Philip Rosenstiel, Roderic Guigó, Ivo G. Gut, Xavier Estivill, Emmanouil T. Dermitzakis. Transcriptome and genome sequencing uncovers functional variation in humans. Nature, 2013; DOI: 10.1038/nature12531
- Peter A C 't Hoen, Marc R Friedländer, Jonas Almlöf, Michael Sammeth, Irina Pulyakhina, Seyed Yahya Anvar, Jeroen F J Laros, Henk P J Buermans, Olof Karlberg, Mathias Brännvall, Gert-Jan B van Ommen, Xavier Estivill, Roderic Guigó, Ann-Christine Syvänen, Ivo G Gut, Emmanouil T Dermitzakis, Stylianos E Antonorakis, Alvis Brazma, Paul Flicek, Stefan Schreiber, Philip Rosenstiel, Thomas Meitinger, Tim M Strom, Hans Lehrach, Ralf Sudbrak, Angel Carracedo, Peter A C 't Hoen, Irina Pulyakhina, Seyed Yahya Anvar, Jeroen F J Laros, Henk P J Buermans, Maarten van Iterson, Marc R Friedländer, Jean Monlong, Esther Lizano, Gabrielle Bertier, Pedro G Ferreira, Michael Sammeth, Jonas Almlöf, Olof Karlberg, Mathias Brännvall, Paolo Ribeca, Thasso Griebel, Sergi Beltran, Marta Gut, Katja Kahlem, Tuuli Lappalainen, Thomas Giger, Halit Ongen, Ismael Padioleau, Helena Kilpinen, Mar Gonzàlez-Porta, Natalja Kurbatova, Andrew Tikhonov, Liliana Greger, Matthias Barann, Daniela Esser, Robert Häsler, Thomas Wieland, Thomas Schwarzmayr, Marc Sultan, Vyacheslav Amstislavskiy, Johan T den Dunnen, Gert-Jan B van Ommen, Ivo G Gut, Roderic Guigó, Xavier Estivill, Ann-Christine Syvänen, Emmanouil T Dermitzakis, Tuuli Lappalainen. Reproducibility of high-throughput mRNA and small RNA sequencing across laboratories. Nature Biotechnology, 2013; DOI: 10.1038/nbt.2702
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