Evidence map›Paper›PMID 31672996›Full record

ArticleScientific data2019

The Personal Genome Project-UK, an open access resource of human multi-omics data.

Olga Chervova, Lucia Conde, José Afonso Guerra-Assunção, Ismail Moghul, Amy P Webster, Alison Berner, Elizabeth Larose Cadieux, Yuan Tian, Vitaly Voloshin, Tiago F Jesus and 3 more

Abstract readDataset
In one paragraph

Article in Scientific data, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

  1. Review
  2. Article
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  6. Article
  7. A guide to multi-omics data collection and integration for translational medicine.Computational and structural biotechnology journal · 2023
    Review
  8. Article
  9. Article
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  13. Review
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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

13 authors.

Olga ChervovaUCL Cancer Institute, University College London, London, UK. o.chervova@ucl.ac.uk.ORCID http://orcid.org/0000-0002-1671-9488
Lucia CondeUCL Cancer Institute, University College London, London, UK.ORCID http://orcid.org/0000-0001-5180-543X
José Afonso Guerra-AssunçãoUCL Cancer Institute, University College London, London, UK.
Ismail MoghulUCL Cancer Institute, University College London, London, UK.ORCID http://orcid.org/0000-0003-3653-2327
Amy P WebsterUCL Cancer Institute, University College London, London, UK.
Alison BernerUCL Cancer Institute, University College London, London, UK.ORCID http://orcid.org/0000-0002-1132-0275
Elizabeth Larose CadieuxUCL Cancer Institute, University College London, London, UK.ORCID http://orcid.org/0000-0002-9320-8040
Yuan TianUCL Cancer Institute, University College London, London, UK.
Vitaly VoloshinSchool of Engineering, University of Warwick, Coventry, UK.ORCID http://orcid.org/0000-0002-9631-5976
Tiago F JesusLifebit Biotech Ltd., 219 Kensington High Street, London, W86BD, UK.
Rifat HamoudiCollege of Medicine, University of Sharjah, Sharjah, UAE.ORCID http://orcid.org/0000-0002-1402-0868
Javier HerreroUCL Cancer Institute, University College London, London, UK.ORCID http://orcid.org/0000-0001-7313-717X
Stephan BeckUCL Cancer Institute, University College London, London, UK. s.beck@ucl.ac.uk.ORCID http://orcid.org/0000-0001-5290-2151

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Integrative analysis of multi-omics data is a powerful approach for gaining functional insights into biological and medical processes. Conducting these multifaceted analyses on human samples is often complicated by the fact that the raw sequencing output is rarely available under open access. The Personal Genome Project UK (PGP-UK) is one of few resources that recruits its participants under open consent and makes the resulting multi-omics data freely and openly available. As part of this resource, we describe the PGP-UK multi-omics reference panel consisting of ten genomic, methylomic and transcriptomic data. Specifically, we outline the data processing, quality control and validation procedures which were implemented to ensure data integrity and exclude sample mix-ups. In addition, we provide a REST API to facilitate the download of the entire PGP-UK dataset. The data are also available from two cloud-based environments, providing platforms for free integrated analysis. In conclusion, the genotype-validated PGP-UK multi-omics human reference panel described here provides a valuable new open access resource for integrated analyses in support of personal and medical genomics.

Indexed as

Genome, HumanAccess to InformationGenomicsHumansTranscriptomeUnited Kingdom

Identifiers

PMID31672996
PMCPMC6823446

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.