Evidence map›Paper›PMID 31235872›Full record

ReviewNature reviews. Genetics2019

Genomics of disease risk in globally diverse populations.

Deepti Gurdasani, Inês Barroso, Eleftheria Zeggini, Manjinder S Sandhu

Erratum issued Registry-linked trialAbstract readReview
PubMed Publisher
In one paragraph

Review in Nature reviews. Genetics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. It is linked to trial NCT05466097 (Development of Polygenic Risk Score to Predict the Efficacy of Weight Loss Intervention in Children and Adolescents With Obesity), which is not on this map. Cited by 193 papers, 13 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
193citing papers in PubMed, 13 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.

NCT05466097 unknown statusnot on this mapstarted 2022, after this paper: background citation

Development of Polygenic Risk Score to Predict the Efficacy of Weight Loss Intervention in Children and Adolescents With Obesity

Typeobservational_patient_registrySponsorFar Eastern Memorial HospitalRan2022 to 2025Enrolled300ConditionsObesity, Children
3 · Its place in the literature

Who cites it

193 citing papers in PubMed, 13 syntheses or guidelines pooled it.

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  12. Genome-Wide Association Study HighlightsArteriosclerosis, thrombosis, and vascular biology · 2021
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133 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors.

Deepti GurdasaniDepartment of Human Genetics, Wellcome Trust Sanger Institute, Hinxton, Cambridge, UK.ORCID http://orcid.org/0000-0001-9996-6929
Inês BarrosoDepartment of Human Genetics, Wellcome Trust Sanger Institute, Hinxton, Cambridge, UK.ORCID http://orcid.org/0000-0001-5800-4520
Eleftheria ZegginiInstitute of Translational Genomics, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany.
Manjinder S SandhuDepartment of Medicine, University of Cambridge, Cambridge, UK. mss31@cam.ac.uk.ORCID http://orcid.org/0000-0002-2725-142X

Funding

Medical Research Council G0801566Medical Research Council G0901213Medical Research Council G0901213-92157Medical Research Council MR/K013491/1Medical Research Council MR/S003711/1Medical Research Council MR/S003711/2Medical Research Council MR/S019669/1Wellcome Trust WT206194
6 · The paper itself

Abstract

Risk of disease is multifactorial and can be shaped by socio-economic, demographic, cultural, environmental and genetic factors. Our understanding of the genetic determinants of disease risk has greatly advanced with the advent of genome-wide association studies (GWAS), which detect associations between genetic variants and complex traits or diseases by comparing populations of cases and controls. However, much of this discovery has occurred through GWAS of individuals of European ancestry, with limited representation of other populations, including from Africa, The Americas, Asia and Oceania. Population demography, genetic drift and adaptation to environments over thousands of years have led globally to the diversification of populations. This global genomic diversity can provide new opportunities for discovery and translation into therapies, as well as a better understanding of population disease risk. Large-scale multi-ethnic and representative biobanks and population health resources provide unprecedented opportunities to understand the genetic determinants of disease on a global scale.

Identifiers

What Socratic holds

Textmetadata
Read underepoch 390

Registered trials

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 Socratic graph.