Evidence map›Paper›PMID 26430152›Full record

ArticleGenome research2015

Functional genomics bridges the gap between quantitative genetics and molecular biology.

Tuuli Lappalainen

Abstract read
In one paragraph

Article in Genome research, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers.

0numbers the graph read from it
0cells of the map it votes in
32citing 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

32 citing papers in PubMed.

  1. Review
  2. Article
  3. Male-pattern hair loss: Comprehensive identification of the associated genes as a basis for understanding pathophysiology.Medizinische Genetik : Mitteilungsblatt des Berufsverbandes Medizinische Genetik e.V · 2023
    Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Review
  9. Article
  10. Article
  11. Article
  12. Article
  13. Allele-Specific QTL Fine Mapping with PLASMA.American journal of human genetics · 2020
    Article
  14. Functional Genomics and CRISPR Applied to Cardiovascular Research and Medicine.Arteriosclerosis, thrombosis, and vascular biology · 2019
    Article
  15. Article
  16. Article
  17. Integrating natural history collections and comparative genomics to study the genetic architecture of convergent evolution.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2019
    Review
  18. Tissue-SpecificGenetics · 2019
    Article
  19. Review
  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

1 author.

Tuuli LappalainenNew York Genome Center, New York, New York 10013, USA; Department of Systems Biology, Columbia University, New York, New York 10032, USA.

Funding

Methods for high-resolution analysis of genetic effects on gene expressionR01MH101814 · NIMH · UNIVERSITY OF GENEVA · PI BUSTAMANTE, CARLOS DANIEL, DERMITZAKIS, EMMANOUIL · 2013 to 2016
$2.3M
NIMH NIH HHS R01 MH101814NIMH NIH HHS R01MH101814
6 · The paper itself

Abstract

Deep characterization of molecular function of genetic variants in the human genome is becoming increasingly important for understanding genetic associations to disease and for learning to read the regulatory code of the genome. In this paper, I discuss how recent advances in both quantitative genetics and molecular biology have contributed to understanding functional effects of genetic variants, lessons learned from eQTL studies, and future challenges in this field.

Indexed as

Genetic VariationGenomicsMolecular BiologyForecastingGene Expression RegulationGenetic Predisposition to DiseaseGenetic ResearchGenome, HumanHumansQuantitative Trait LociRegulatory Sequences, Nucleic Acid

Identifiers

PMID26430152
PMCPMC4579327

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.