Evidence map›Paper›PMID 35945198›Full record

ArticleNature communications2022

Transferability of genetic loci and polygenic scores for cardiometabolic traits in British Pakistani and Bangladeshi individuals.

Qin Qin Huang, Neneh Sallah, Diana Dunca, Bhavi Trivedi, Karen A Hunt, Sam Hodgson, Samuel A Lambert, Elena Arciero, John Wright, Chris Griffiths and 8 more

Abstract read
In one paragraph

Article in Nature communications, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 47 papers, 6 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
47citing papers in PubMed, 6 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

47 citing papers in PubMed, 6 syntheses or guidelines pooled it.

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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

18 authors.

Qin Qin Huang *Department of Human Genetics, Wellcome Sanger Institute, Cambridge, UK.ORCID 0000-0003-3073-717X
Neneh Sallah *Institute of Health Informatics, University College London, London, UK.
Diana DuncaInstitute of Health Informatics, University College London, London, UK.
Bhavi TrivediBlizard Institute, Barts and the London School of Medicine and Dentistry, Queen Mary University of London, London, UK.
Karen A HuntBlizard Institute, Barts and the London School of Medicine and Dentistry, Queen Mary University of London, London, UK.
Sam HodgsonPrimary Care Research Centre, University of Southampton, Southampton, UK.ORCID 0000-0002-5610-850X
Samuel A LambertCambridge Baker Systems Genomics Initiative, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK.ORCID 0000-0001-8222-008X
Elena ArcieroDepartment of Human Genetics, Wellcome Sanger Institute, Cambridge, UK.
John WrightBradford Institute for Health Research, Bradford Teaching Hospitals National Health Service (NHS) Foundation Trust, Bradford, UK.
Chris GriffithsInstitute of Population Health Sciences, Barts and the London School of Medicine and Dentistry, Queen Mary University of London, London, UK.ORCID 0000-0001-7935-8694
Richard C TrembathDepartment of Medical and Molecular Genetics, King's College London, London, UK.ORCID 0000-0003-0550-3400
Harry HemingwayInstitute of Health Informatics, University College London, London, UK.ORCID 0000-0003-2279-0624
Michael InouyeCambridge Baker Systems Genomics Initiative, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK.ORCID 0000-0001-9413-6520
Sarah FinerBlizard Institute, Barts and the London School of Medicine and Dentistry, Queen Mary University of London, London, UK.ORCID 0000-0002-2684-4653
David A van HeelBlizard Institute, Barts and the London School of Medicine and Dentistry, Queen Mary University of London, London, UK.ORCID 0000-0002-0637-2265
R Thomas LumbersInstitute of Health Informatics, University College London, London, UK.ORCID 0000-0002-9077-4741
Hilary C MartinDepartment of Human Genetics, Wellcome Sanger Institute, Cambridge, UK.ORCID 0000-0002-4454-9084
Karoline KuchenbaeckerUCL Genetics Institute, University College London, London, UK. k.kuchenbaecker@ucl.ac.uk.ORCID 0000-0001-9726-603X

Funding

British Heart Foundation RE/13/6/30180British Heart Foundation RG/13/13/30194British Heart Foundation RG/18/13/33946Chief Scientist OfficeCIHR MFE-171279Department of Health BRC-1215-20014Medical Research Council M009017Medical Research Council MR/S003754/1Medical Research Council MR/S027297/1Wellcome Trust 206194Wellcome Trust 210561/Z/18/ZWellcome Trust WT102627Wellcome Trust WT210561
6 · The paper itself

Abstract

Individuals with South Asian ancestry have a higher risk of heart disease than other groups but have been largely excluded from genetic research. Using data from 22,000 British Pakistani and Bangladeshi individuals with linked electronic health records from the Genes & Health cohort, we conducted genome-wide association studies of coronary artery disease and its key risk factors. Using power-adjusted transferability ratios, we found evidence for transferability for the majority of cardiometabolic loci powered to replicate. The performance of polygenic scores was high for lipids and blood pressure, but lower for BMI and coronary artery disease. Adding a polygenic score for coronary artery disease to clinical risk factors showed significant improvement in reclassification. In Mendelian randomisation using transferable loci as instruments, our findings were consistent with results in European-ancestry individuals. Taken together, trait-specific transferability of trait loci between populations is an important consideration with implications for risk prediction and causal inference.

Indexed as

Coronary Artery DiseaseGenome-Wide Association StudyAsian PeopleGenetic LociHumansPakistanPolymorphism, Single Nucleotide

Identifiers

PMID35945198
PMCPMC9363492

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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.