Evidence map›Paper›PMID 18096750›Full record

ArticleGenome research2008

Alternative approach to a heavy weight problem.

Amir Goren, Eddo Kim, Maayan Amit, Ron Bochner, Galit Lev-Maor, Nadav Ahituv, Gil Ast

Abstract readComparative Study
In one paragraph

Article in Genome research, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
–field-weighted citation impact
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

10 citing papers in PubMed.

  1. In Silico Examination of Single Nucleotide Missense Mutations inInternational journal of molecular sciences · 2023
    Article
  2. Review
  3. Article
  4. NHLH2: at the intersection of obesity and fertility.Trends in endocrinology and metabolism: TEM · 2013
    Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. 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.

Amir GorenDepartment of Human Genetics and Molecular Medicine, Sackler Faculty of Medicine, Tel-Aviv University, Ramat Aviv 69978, Israel.
Eddo Kim
Maayan Amit
Ron Bochner
Galit Lev-Maor
Nadav Ahituv
Gil Ast

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Obesity is reaching epidemic proportions in developed countries and represents a significant risk factor for hypertension, heart disease, diabetes, and dyslipidemia. Splicing mutations constitute at least 14% of disease-causing mutations, thus implicating polymorphisms that affect splicing as likely candidates for disease susceptibility. A recent study suggested that genes associated with obesity were significantly enriched for rare nucleotide variants. Here, we examined these variants and revealed that they are located near splice junctions and tend to affect exonic splicing regulatory sequences. We also show that the majority of the exons that harbor these SNPs are constitutively spliced, yet they exhibit weak splice sites, typical to alternatively spliced exons, and are hence suboptimal for recognition by the splicing machinery and prone to become alternatively spliced. Using ex vivo assays, we tested a few representative variants and show that they indeed affect splicing by causing a shift from a constitutive to an alternative pattern, suggesting a possible link between extreme body mass index and abnormal splicing patterns.

Indexed as

Body Mass IndexAlternative SplicingBase SequenceComputational BiologyDNA PrimersExonsGenetic VectorsHumansMolecular Sequence DataMutagenesis, Site-DirectedObesityPolymorphism, Single NucleotideReverse Transcriptase Polymerase Chain ReactionDNA Primers

Identifiers

PMID18096750
PMCPMC2203619

What OpenQuestion holds

Textmetadata
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.