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Deciphering the impact of genomic variation on function.

Authors :
Engreitz, Jesse M.
Lawson, Heather A.
Singh, Harinder
Starita, Lea M.
Hon, Gary C.
Carter, Hannah
Sahni, Nidhi
Reddy, Timothy E.
Lin, Xihong
Li, Yun
Munshi, Nikhil V.
Chahrour, Maria H.
Boyle, Alan P.
Hitz, Benjamin C.
Mortazavi, Ali
Craven, Mark
Mohlke, Karen L.
Pinello, Luca
Wang, Ting
Kundaje, Anshul
Source :
Nature; Sep2024, Vol. 633 Issue 8028, p47-57, 11p
Publication Year :
2024

Abstract

Our genomes influence nearly every aspect of human biology—from molecular and cellular functions to phenotypes in health and disease. Studying the differences in DNA sequence between individuals (genomic variation) could reveal previously unknown mechanisms of human biology, uncover the basis of genetic predispositions to diseases, and guide the development of new diagnostic tools and therapeutic agents. Yet, understanding how genomic variation alters genome function to influence phenotype has proved challenging. To unlock these insights, we need a systematic and comprehensive catalogue of genome function and the molecular and cellular effects of genomic variants. Towards this goal, the Impact of Genomic Variation on Function (IGVF) Consortium will combine approaches in single-cell mapping, genomic perturbations and predictive modelling to investigate the relationships among genomic variation, genome function and phenotypes. IGVF will create maps across hundreds of cell types and states describing how coding variants alter protein activity, how noncoding variants change the regulation of gene expression, and how such effects connect through gene-regulatory and protein-interaction networks. These experimental data, computational predictions and accompanying standards and pipelines will be integrated into an open resource that will catalyse community efforts to explore how our genomes influence biology and disease across populations.The Impact of Genomic Variation on Function Consortium is combining single-cell mapping, genomic perturbations and predictive modelling to investigate relationships between human genomic variation, genome function and phenotypes and will provide an open resource to the community. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
00280836
Volume :
633
Issue :
8028
Database :
Complementary Index
Journal :
Nature
Publication Type :
Academic Journal
Accession number :
179493237
Full Text :
https://doi.org/10.1038/s41586-024-07510-0