Evidence map›Paper›PMID 27363847›Full record

ArticleHuman mutation2016

Deep Genetic Connection Between Cancer and Developmental Disorders.

Hongjian Qi, Chengliang Dong, Wendy K Chung, Kai Wang, Yufeng Shen

Open access · greenAbstract read
In one paragraph

Article in Human mutation, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
0.7field-weighted citation impact, top 26% 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

21 citing papers in PubMed, 38 citations in OpenAlex.

  1. Review
  2. Article
  3. Tumors and their microenvironments: Learning from pediatric brain pathologies.Biochimica et biophysica acta. Reviews on cancer · 2025
    Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Review
  10. Review
  11. The Imageable Genome.Nature communications · 2023
    Article
  12. Article
  13. Article
  14. Review
  15. Article
  16. Article
  17. Review
  18. Article
  19. Article
  20. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors at 4 institutions in 1 country.

Hongjian QiDepartment of Applied Physics and Applied Mathematics, Columbia University, New York, New York.
Chengliang DongZilkha Neurogenetic Institute, University of Southern California, Los Angeles, California.
Wendy K ChungDepartments of Pediatrics and Medicine, Columbia University Medical Center, New York, New York.
Kai WangZilkha Neurogenetic Institute, University of Southern California, Los Angeles, California.
Yufeng ShenDepartment of Systems Biology, Columbia University Medical Center, New York, New York. ys2411@cumc.columbia.edu.
University of Southern California · USColumbia University · USColumbia University Irving Medical Center · USNew York Genome Center · US

Funding

OMOP information model for eMERGE phenotypingU01HG008680 · NHGRI · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI Wendy K Chung, GEORGE M HRIPCSAK · 2015 to 2026
$13.3M
Incorporating Local Haplotype Sharing to Detect Genetic AssociationsR01HG008157 · NHGRI · DUKE UNIVERSITY · PI GUAN, YONGTAO · 2015 to 2018
$1.5M
NHGRI NIH HHS R01 HG008157NHGRI NIH HHS U01 HG008680
6 · The paper itself

Abstract

Cancer and developmental disorders (DDs) share dysregulated cellular processes such as proliferation and differentiation. There are well-known genes implicated in both in cancer and DDs. In this study, we aim to quantify this genetic connection using publicly available data. We found that among DD patients, germline damaging de novo variants are more enriched in cancer driver genes than non-drivers. We estimate that cancer driver genes comprise about a third of DD risk genes. Additionally, de novo likely-gene-disrupting variants are more enriched in tumor suppressors, and about 40% of implicated de novo damaging missense variants are located in cancer somatic mutation hotspots, indicating that many genes have a similar mode of action in cancer and DDs. Our results suggest that we can view tumors as natural laboratories for assessing the deleterious effects of mutations that are applicable to germline variants and identification of causal genes and variants in DDs.

Indexed as

Genetic Predisposition to DiseaseComputational BiologyDatabases, GeneticGerm-Line MutationHumansMutation, MissenseNeoplasmsNeurodevelopmental Disordersde novo mutationsdevelopmental disorderssomatic mutation hotspotstumor suppressors

Identifiers

PMID27363847
PMCPMC5021574
OpenAlexW2469886129

What OpenQuestion holds

Textmetadata
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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.