ArticleAmerican journal of human genetics2013
Dissecting disease inheritance modes in a three-dimensional protein network challenges the "guilt-by-association" principle.
Article in American journal of human genetics, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers.
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33 citing papers in PubMed, 46 citations in OpenAlex.
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- A highly specific CRISPR-Cas12j nuclease enables allele-specific genome editing.Science advances · 2023Article
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- Predicting functional consequences of mutations using molecular interaction network features.Human genetics · 2022Article
- Identification of discriminative gene-level and protein-level features associated with pathogenic gain-of-function and loss-of-function variants.American journal of human genetics · 2021Article
- Mutation Edgotype Drives Fitness Effect in Human.Frontiers in bioinformatics · 2021Article
- Protein Stability Perturbation Contributes to the Loss of Function in Haploinsufficient Genes.Frontiers in molecular biosciences · 2021Article
- Identifying functionally relevant candidate genes for inflexible ethanol intake in mice and humans using a guilt-by-association approach.Brain and behavior · 2020Article
- Mutation-Independent Allele-Specific Editing by CRISPR-Cas9, a Novel Approach to Treat Autosomal Dominant Disease.Molecular therapy : the journal of the American Society of Gene Therapy · 2020Article
- Genetics of extreme human longevity to guide drug discovery for healthy ageing.Nature metabolism · 2020Review
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- Estimating dispensable content in the human interactome.Nature communications · 2019Article
- Integrating molecular networks with genetic variant interpretation for precision medicine.Wiley interdisciplinary reviews. Systems biology and medicine · 2019Review
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- Oncolytic herpes simplex virus tumor targeting and neutralization escape by engineering viral envelope glycoproteins.Drug delivery · 2018Review
- Comprehensive Analysis of Constraint on the Spatial Distribution of Missense Variants in Human Protein Structures.American journal of human genetics · 2018Article
- MAPPIN: a method for annotating, predicting pathogenicity and mode of inheritance for nonsynonymous variants.Nucleic acids research · 2017Article
- Using ALoFT to determine the impact of putative loss-of-function variants in protein-coding genes.Nature communications · 2017Article
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7 authors at 1 institution in 1 country.
Funding
Abstract
To better understand different molecular mechanisms by which mutations lead to various human diseases, we classified 82,833 disease-associated mutations according to their inheritance modes (recessive versus dominant) and molecular types (in-frame [missense point mutations and in-frame indels] versus truncating [nonsense mutations and frameshift indels]) and systematically examined the effects of different classes of disease mutations in a three-dimensional protein interactome network with the atomic-resolution interface resolved for each interaction. We found that although recessive mutations affecting the interaction interface of two interacting proteins tend to cause the same disease, this widely accepted "guilt-by-association" principle does not apply to dominant mutations. Furthermore, recessive truncating mutations in regions encoding the same interface are much more likely to cause the same disease, even for interfaces close to the N terminus of the protein. Conversely, dominant truncating mutations tend to be enriched in regions encoding areas between interfaces. These results suggest that a significant fraction of truncating mutations can generate functional protein products. For example, TRIM27, a known cancer-associated protein, interacts with three proteins (MID2, TRIM42, and SIRPA) through two different interfaces. A dominant truncating mutation (c.1024delT [p.Tyr342Thrfs*30]) associated with ovarian carcinoma is located between the regions encoding the two interfaces; the altered protein retains its interaction with MID2 and TRIM42 through the first interface but loses its interaction with SIRPA through the second interface. Our findings will help clarify the molecular mechanisms of thousands of disease-associated genes and their tens of thousands of mutations, especially for those carrying truncating mutations, often erroneously considered "knockout" alleles.
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