Evidence map›Paper›PMID 36168886›Full record

ArticleHuman molecular genetics2023

Differences and commonalities in the genetic architecture of protein quantitative trait loci in European and Arab populations.

Gaurav Thareja, Aziz Belkadi, Matthias Arnold, Omar M E Albagha, Johannes Graumann, Frank Schmidt, Harald Grallert, Annette Peters, Christian Gieger, The Qatar Genome Program Research Consortium and 1 more

Open access · hybridAbstract read
In one paragraph

Article in Human molecular genetics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed
6.7field-weighted citation impact, top 3% of its field
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

31 citing papers in PubMed, 40 citations in OpenAlex.

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  5. Polymorphism of theLife (Basel, Switzerland) · 2026
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  6. Blood biomarkers and breed genetics of aging in pet dogs.bioRxiv : the preprint server for biology · 2026
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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

11 authors at 6 institutions in 4 countries.

Gaurav TharejaBioinformatics Core, Weill Cornell Medicine-Qatar, Education City, 24144 Doha, Qatar.
Aziz BelkadiBioinformatics Core, Weill Cornell Medicine-Qatar, Education City, 24144 Doha, Qatar.
Matthias ArnoldInstitute of Computational Biology, Helmholtz Zentrum München, German Research Center for Environmental Health, Ingolstädter Landstraße 1, Neuherberg 85764, Germany.
Omar M E AlbaghaCollege of Health and Life Sciences, Hamad Bin Khalifa University, 34110 Doha, Qatar.
Johannes GraumannInstitute of Translational Proteomics, Department of Medicine, Philipps-Universität Marburg, Marburg, Germany.
Frank SchmidtProteomics Core, Weill Cornell Medicine-Qatar, Education City, 24144 Doha, Qatar.
Harald GrallertResearch Unit of Molecular Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Ingolstädter Landstraße 1, Neuherberg 85764, Germany.
Annette PetersResearch Unit of Molecular Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Ingolstädter Landstraße 1, Neuherberg 85764, Germany.
Christian GiegerResearch Unit of Molecular Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Ingolstädter Landstraße 1, Neuherberg 85764, Germany.
The Qatar Genome Program Research ConsortiumGerman Center for Cardiovascular Research (DZHK), Partner Site Munich Heart Alliance, Munich, Germany.
Karsten SuhreBioinformatics Core, Weill Cornell Medicine-Qatar, Education City, 24144 Doha, Qatar.ORCID 0000-0001-9638-3912
Cornell University · USHelmholtz Zentrum München · DEDuke University · USEdinburgh Cancer Research · GBPhilipps University of Marburg · DEWeill Cornell Medical College in Qatar · QA

Funding

Project 4 - Mechanistic studies on the role of the gut microbiome in models for Alzheimer's diseaseU19AG063744 · NIA · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · PI Rima F Kaddurah-Daouk · 2019 to 2026
$54.1M
Metabolomic Signatures for Disease Sub-classification and Target Prioritization in AMP-ADU01AG061359 · NIA · DUKE UNIVERSITY · PI KADDURAH-DAOUK, RIMA F, KASTENMULLER, GABI · 2018 to 2022
$10.0M
Metabolic Networks and Pathways Predictive of Sex Differences in AD Risk and Responsiveness to TreatmentRF1AG059093 · NIA · DUKE UNIVERSITY · PI BRINTON, ROBERTA EILEEN, CHANG, RUI · 2018 to 2018
$5.9M
TargetAD: A systems multi-omics approach to drug repositioning in Alzheimer's diseaseR01AG069901 · NIA · WEILL MEDICAL COLL OF CORNELL UNIV · PI Matthias Arnold, Jan Krumsiek · 2021 to 2026
$3.7M
Gut Liver Brain Biochemical Axis in Alzheimer's DiseaseRF1AG058942 · NIA · DUKE UNIVERSITY · PI KADDURAH-DAOUK, RIMA F, VAN DUIJN, CORNELIA MARJA · 2018 to 2018
$3.4M
Bavarian State Ministry of Education, Science and the ArtsNIA NIH HHS R01 AG069901NIA NIH HHS RF1 AG058942NIA NIH HHS RF1 AG059093NIA NIH HHS U01 AG061359NIA NIH HHS U19 AG063744NIH HHS R01AG069901Qatar National Research Fund NPRP12S-0227-190173
6 · The paper itself

Abstract

Polygenic scores (PGS) can identify individuals at risk of adverse health events and guide genetics-based personalized medicine. However, it is not clear how well PGS translate between different populations, limiting their application to well-studied ethnicities. Proteins are intermediate traits linking genetic predisposition and environmental factors to disease, with numerous blood circulating protein levels representing functional readouts of disease-related processes. We hypothesized that studying the genetic architecture of a comprehensive set of blood-circulating proteins between a European and an Arab population could shed fresh light on the translatability of PGS to understudied populations. We therefore conducted a genome-wide association study with whole-genome sequencing data using 1301 proteins measured on the SOMAscan aptamer-based affinity proteomics platform in 2935 samples of Qatar Biobank and evaluated the replication of protein quantitative traits (pQTLs) from European studies in an Arab population. Then, we investigated the colocalization of shared pQTL signals between the two populations. Finally, we compared the performance of protein PGS derived from a Caucasian population in a European and an Arab cohort. We found that the majority of shared pQTL signals (81.8%) colocalized between both populations. About one-third of the genetic protein heritability was explained by protein PGS derived from a European cohort, with protein PGS performing ~20% better in Europeans when compared to Arabs. Our results are relevant for the translation of PGS to non-Caucasian populations, as well as for future efforts to extend genetic research to understudied populations.

Indexed as

ArabsQuantitative Trait LociWhite PeopleGenetics, PopulationGenome-Wide Association StudyHumans

Identifiers

PMID36168886
PMCPMC9990988
OpenAlexW4297457860

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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Registered trials

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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.