Evidence map›Paper›PMID 26113264›Full record

ArticleScientific reports2015

Functional annotation of HOT regions in the human genome: implications for human disease and cancer.

Hao Li, Hebing Chen, Feng Liu, Chao Ren, Shengqi Wang, Xiaochen Bo, Wenjie Shu

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
2.6field-weighted citation impact, top 10% 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

15 citing papers in PubMed, 27 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Review
  12. Article
  13. Article
  14. Article
  15. Review
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.

Hao LiDepartment of Biotechnology, Beijing Institute of Radiation Medicine, Beijing 100850, China.
Hebing ChenDepartment of Biotechnology, Beijing Institute of Radiation Medicine, Beijing 100850, China.
Feng LiuDepartment of Biotechnology, Beijing Institute of Radiation Medicine, Beijing 100850, China.
Chao RenDepartment of Biotechnology, Beijing Institute of Radiation Medicine, Beijing 100850, China.
Shengqi WangDepartment of Biotechnology, Beijing Institute of Radiation Medicine, Beijing 100850, China.
Xiaochen BoDepartment of Biotechnology, Beijing Institute of Radiation Medicine, Beijing 100850, China.
Wenjie ShuDepartment of Biotechnology, Beijing Institute of Radiation Medicine, Beijing 100850, China.
Beijing Radiation Center · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Advances in genome-wide association studies (GWAS) and large-scale sequencing studies have resulted in an impressive and growing list of disease- and trait-associated genetic variants. Most studies have emphasised the discovery of genetic variation in coding sequences, however, the noncoding regulatory effects responsible for human disease and cancer biology have been substantially understudied. To better characterise the cis-regulatory effects of noncoding variation, we performed a comprehensive analysis of the genetic variants in HOT (high-occupancy target) regions, which are considered to be one of the most intriguing findings of recent large-scale sequencing studies. We observed that GWAS variants that map to HOT regions undergo a substantial net decrease and illustrate development-specific localisation during haematopoiesis. Additionally, genetic risk variants are disproportionally enriched in HOT regions compared with LOT (low-occupancy target) regions in both disease-relevant and cancer cells. Importantly, this enrichment is biased toward disease- or cancer-specific cell types. Furthermore, we observed that cancer cells generally acquire cancer-specific HOT regions at oncogenes through diverse mechanisms of cancer pathogenesis. Collectively, our findings demonstrate the key roles of HOT regions in human disease and cancer and represent a critical step toward further understanding disease biology, diagnosis, and therapy.

Indexed as

Genetic VariationCell Line, TumorDiseaseGenetic Predisposition to DiseaseGenome, HumanGenome-Wide Association StudyHematopoiesisHematopoietic Stem CellsHumansMolecular Sequence AnnotationNeoplasmsOncogenesPolymorphism, Single NucleotideRisk Factors

Identifiers

PMID26113264
PMCPMC4481521
OpenAlexW2262286183

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.