Evidence map›Paper›PMID 23791107›Full record

ArticleAmerican journal of human genetics2013

Dissecting disease inheritance modes in a three-dimensional protein network challenges the "guilt-by-association" principle.

Yu Guo, Xiaomu Wei, Jishnu Das, Andrew Grimson, Steven M Lipkin, Andrew G Clark, Haiyuan Yu

Open access · bronzeAbstract read
In one paragraph

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.

0numbers the graph read from it
0cells of the map it votes in
33citing papers in PubMed
1.9field-weighted citation impact, top 14% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

33 citing papers in PubMed, 46 citations in OpenAlex.

  1. Article
  2. Article
  3. Genome editing with natural and engineered CjCas9 orthologs.Molecular therapy : the journal of the American Society of Gene Therapy · 2023
    Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Mutation Edgotype Drives Fitness Effect in Human.Frontiers in bioinformatics · 2021
    Article
  9. Article
  10. Article
  11. 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 · 2020
    Article
  12. Review
  13. Review
  14. Article
  15. Integrating molecular networks with genetic variant interpretation for precision medicine.Wiley interdisciplinary reviews. Systems biology and medicine · 2019
    Review
  16. Article
  17. Review
  18. Article
  19. Article
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors at 1 institution in 1 country.

Yu GuoDepartment of Molecular Biology and Genetics, Cornell University, Ithaca, NY 14853, USA.
Xiaomu Wei
Jishnu Das
Andrew Grimson
Steven M Lipkin
Andrew G Clark
Haiyuan Yu
Cornell University · US

Funding

Clinical and Translational Science CenterUL1TR000457 · NCATS · WEILL MEDICAL COLL OF CORNELL UNIV · PI IMPERATO-MCGINLEY, JULIANNE L · 2012 to 2016
$46.0M
Population Genetic Inferences From Dense Genotype DataR01HG003229 · NHGRI · CORNELL UNIVERSITY ITHACA · PI BUSTAMANTE, CARLOS DANIEL, CLARK, ANDREW G · 2004 to 2013
$4.8M
Whole Genome Sequencing to Discover Familial Myeloma Risk GenesR01CA167824 · NCI · WEILL MEDICAL COLL OF CORNELL UNIV · PI LIPKIN, STEVEN M, OFFIT, KENNETH · 2012 to 2016
$1.9M
Using Protein Interactome Networks to Understand the Functional Role of Coding DNR01GM104424 · NIGMS · WEILL MEDICAL COLL OF CORNELL UNIV · PI LIPKIN, STEVEN M, YU, HAIYUAN · 2013 to 2016
$1.7M
NCATS NIH HHS UL1 TR000457NCI NIH HHS R01 CA167824NHGRI NIH HHS R01 HG003229NIGMS NIH HHS R01 GM104424
6 · The paper itself

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.

Indexed as

Protein Interaction MapsAllelesAntigens, DifferentiationDNA-Binding ProteinsDNA Mutational AnalysisGenetic Association StudiesGenetic Diseases, InbornGenetic HeterogeneityGenetic LociGenetic Predisposition to DiseaseHumansInheritance PatternsMutationNeoplasmsNuclear ProteinsProtein Interaction MappingAntigens, DifferentiationDNA-Binding ProteinsNuclear ProteinsReceptors, ImmunologicSIRPA protein, humanTRIM27 protein, humanTripartite Motif Proteins

Identifiers

PMID23791107
PMCPMC3710751
OpenAlexW2048638896

What OpenQuestion holds

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Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.