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IGVF Affiliate Member Projects (Heinig, M.)

Deciphering the impact of genomic variation on function.

Nature 633, 47-57 (2024)
DOI PMC
Open Access Green möglich sobald Postprint bei der ZB eingereicht worden ist.
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.
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Publikationstyp Artikel: Journalartikel
Dokumenttyp Review
Schlagwörter Regulatory Elements; Enhancer Activity; Systematic Dissection; Genetic-variation; Medical Genetics; American-college; Variants; Rna; Dna; Health
ISSN (print) / ISBN 0028-0836
e-ISSN 1476-4687
Zeitschrift Nature
Quellenangaben Band: 633, Heft: 8028, Seiten: 47-57 Artikelnummer: , Supplement: ,
Verlag Nature Publishing Group
Verlagsort London
Begutachtungsstatus Peer reviewed
Institut(e) Institute of Computational Biology (ICB)
Förderungen The NIH NHGRI IGVF Program
NIH NCI
Novo Nordisk Foundation
NIH NHGRI IGVF Program