Deciphering the impact of genomic variation on function.

dc.contributor.author

IGVF Consortium

dc.date.accessioned

2026-04-17T15:52:04Z

dc.date.available

2026-04-17T15:52:04Z

dc.date.issued

2024-09

dc.description.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.

dc.identifier

10.1038/s41586-024-07510-0

dc.identifier.issn

0028-0836

dc.identifier.issn

1476-4687

dc.identifier.uri

https://hdl.handle.net/10161/34423

dc.language

eng

dc.publisher

Springer Science and Business Media LLC

dc.relation.ispartof

Nature

dc.relation.isversionof

10.1038/s41586-024-07510-0

dc.rights.uri

https://creativecommons.org/licenses/by-nc/4.0

dc.subject

IGVF Consortium

dc.subject

Cells

dc.subject

Humans

dc.subject

Genetic Predisposition to Disease

dc.subject

Genomics

dc.subject

Gene Expression Regulation

dc.subject

Phenotype

dc.subject

Genome, Human

dc.subject

Models, Genetic

dc.subject

Computer Simulation

dc.subject

Gene Regulatory Networks

dc.subject

Genetic Variation

dc.subject

Genetic Association Studies

dc.subject

Single-Cell Analysis

dc.subject

Protein Interaction Maps

dc.title

Deciphering the impact of genomic variation on function.

dc.type

Journal article

pubs.begin-page

47

pubs.end-page

57

pubs.issue

8028

pubs.organisational-group

Duke

pubs.organisational-group

School of Medicine

pubs.organisational-group

Basic Science Departments

pubs.organisational-group

Biostatistics & Bioinformatics

pubs.organisational-group

Biostatistics & Bioinformatics, Division of Integrative Genomics

pubs.publication-status

Published

pubs.volume

633

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