Evidence map›Paper›PMID 23358379›Full record

ReviewNature reviews. Genetics2013

Genotype to phenotype: lessons from model organisms for human genetics.

Ben Lehner

Abstract readReview
PubMed Publisher
In one paragraph

Review in Nature reviews. Genetics, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 133 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
133citing papers in PubMed, 1 pooled it
–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

133 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Review
  6. Article
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  11. Review
  12. Article
  13. Deep learning for genomic selection of aquatic animals.Marine life science & technology · 2024
    Review
  14. Review
  15. Review
  16. Article
  17. Article
  18. Article
  19. Use ofHeliyon · 2023
    Article
  20. Review

73 more citing papers are in PubMed but not listed here.

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

1 author.

Ben LehnerEMBL-CRG Systems Biology, Centre for Genomic Regulation (CRG) and UPF, Carrer Dr. Aiguader 88, 08003 Barcelona, Spain. ben.lehner@crg.eu

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

To what extent can variation in phenotypic traits such as disease risk be accurately predicted in individuals? In this Review, I highlight recent studies in model organisms that are relevant both to the challenge of accurately predicting phenotypic variation from individual genome sequences ('whole-genome reverse genetics') and for understanding why, in many cases, this may be impossible. These studies argue that only by combining genetic knowledge with in vivo measurements of biological states will it be possible to make accurate genetic predictions for individual humans.

Indexed as

Genome, HumanGenotypePhenotypeAnimalsChromosome MappingEpistasis, GeneticGene-Environment InteractionGenetic VariationHumans

Identifiers

PMID23358379

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.