Evidence map›Paper›PMID 38272034›Full record

ArticleCell genomics2024

Advancing equity in human genomics through tissue-specific multi-ancestry molecular data.

Ana Luiza Arruda, Andrew P Morris, Eleftheria Zeggini

Abstract read
In one paragraph

Article in Cell genomics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

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

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Genome-wide association testing beyond SNPs.Nature reviews. Genetics · 2025
    Review
  8. Article
  9. Article
  10. Multi-omics characterization of type 2 diabetes associated genetic variation.medRxiv : the preprint server for health sciences · 2024
    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

3 authors.

Ana Luiza ArrudaInstitute of Translational Genomics, Helmholtz Munich, 85764 Neuherberg, Germany; Munich School for Data Science, Helmholtz Munich, 85764 Neuherberg, Germany; Technical University of Munich, School of Medicine, Graduate School of Experimental Medicine, 81675 Munich, Germany.
Andrew P MorrisInstitute of Translational Genomics, Helmholtz Munich, 85764 Neuherberg, Germany; Centre for Genetics and Genomics Versus Arthritis, Centre for Musculoskeletal Research, The University of Manchester, Manchester M13 9PT, UK.
Eleftheria ZegginiInstitute of Translational Genomics, Helmholtz Munich, 85764 Neuherberg, Germany; TUM School of Medicine, Technical University Munich and Klinikum Rechts der Isar, 81675 Munich, Germany. Electronic address: eleftheria.zeggini@helmholtz-munich.de.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

There is a pressing need to generate molecular data from diverse tissues across global populations. These currently missing data are necessary to resolve genome-wide association study loci, identify effector genes, and move the translational genomics needle beyond European-ancestry individuals and the minority of diseases for which blood is the relevant tissue.

Indexed as

Genome-Wide Association StudyMinority GroupsGenomicsHumans

Identifiers

PMID38272034
PMCPMC10879035

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.