The future objectives of the International Mouse Phenotyping Consortium (IMPC): functional evaluation of human disease-relevant cis-regulatory elements in the mouse genome

The International Mouse Phenotyping Consortium (IMPC) has established a large-scale functional genomics resource by systematically generating and phenotyping knockout mouse lines, linking gene function to mammalian phenotypes. However, interpreting disease-associated non-coding variants remains particularly challenging due to their abundance, context-dependent activity, and the complexity of gene regulation. Genome-wide association studies (GWAS) have shown that many disease-associated loci map to non-coding regions. In addition, recent large-scale consortia have catalogued millions of candidate cis-regulatory elements (CREs) across mammalian genomes; however, predicting which elements contribute to disease-relevant gene regulation and organismal phenotypes remains difficult. Together, these observations highlight disease-relevant CREs as an important but still underexplored component of human disease mechanisms. In this white paper, we outline strategies to address this challenge: (i) prioritization of disease-relevant candidate CREs, (ii) genome editing in mice to functionally evaluate CREs, and (iii) the establishment of interdisciplinary working groups. By extending its activities beyond protein-coding sequences, the IMPC has a unique opportunity to define the functional and phenotypic impact of disease-relevant CREs in vivo at scale, thereby improving our understanding of how non-coding regulatory elements contribute to mammalian phenotypes and human disease.

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Journal
Mammalian Genome
Published
2026-07-24
DOI
https://doi.org/10.1007/s00335-026-10258-9
Primary Topic
Biomedical Text Mining and Ontologies
Type
article
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article

The future objectives of the International Mouse Phenotyping Consortium (IMPC): functional evaluation of human disease-relevant cis-regulatory elements in the mouse genome

Toyoyuki Takada, Atsushi Yoshiki, Kimiko Inoue, Takanori Amano et al.
Mammalian Genome
Biomedical Text Mining and Ontologies
article

The future objectives of the International Mouse Phenotyping Consortium (IMPC): functional evaluation of human disease-relevant cis-regulatory elements in the mouse genome

Toyoyuki Takada, Atsushi Yoshiki, Kimiko Inoue, Takanori Amano, Atsuo Ogura, Akiko Oguchi, Hideya Kawaji, Hiroshi Masuya, Naoki Kubo, Takeya Kasukawa, Toshihiko Shiroishi, Shinya Ayabe, Masaru Tamura, Akihiko Sakashita, Shinya Oki, Yasuhiro Murakawa
article en

Abstract

The International Mouse Phenotyping Consortium (IMPC) has established a large-scale functional genomics resource by systematically generating and phenotyping knockout mouse lines, linking gene function to mammalian phenotypes. However, interpreting disease-associated non-coding variants remains particularly challenging due to their abundance, context-dependent activity, and the complexity of gene regulation. Genome-wide association studies (GWAS) have shown that many disease-associated loci map to non-coding regions. In addition, recent large-scale consortia have catalogued millions of candidate cis-regulatory elements (CREs) across mammalian genomes; however, predicting which elements contribute to disease-relevant gene regulation and organismal phenotypes remains difficult. Together, these observations highlight disease-relevant CREs as an important but still underexplored component of human disease mechanisms. In this white paper, we outline strategies to address this challenge: (i) prioritization of disease-relevant candidate CREs, (ii) genome editing in mice to functionally evaluate CREs, and (iii) the establishment of interdisciplinary working groups. By extending its activities beyond protein-coding sequences, the IMPC has a unique opportunity to define the functional and phenotypic impact of disease-relevant CREs in vivo at scale, thereby improving our understanding of how non-coding regulatory elements contribute to mammalian phenotypes and human disease.

Mammalian GenomeVol. 37(1)
Kyoto University (JP), RIKEN BioResource Research Center (JP), Tokyo Metropolitan Institute of Medical Science (JP), RIKEN Center for Integrative Medical Sciences (JP), Kumamoto University (JP)
Partnerships for the goals
Openalex Percentile: Top 14%
Biomedical Text Mining and Ontologies
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