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PGS001340
GBE_HC281

Atrial fibrillationPolygenic risk score

Atrial fibrillation (AFib) is an irregular and often rapid heart rhythm originating in the heart's upper chambers (atria). It increases the risk of stroke, heart failure, and other cardiovascular complications. Risk factors include age, high blood pressure, obesity, and genetic predisposition.

See where you fall for this score using the 23andMe, AncestryDNA, MyHeritage, or WGS data you already have. The Full Health Report ($29.99, one-time) covers 71 scores and is ready in about 20 minutes.

Score Details

This score comes from the PGS Catalog, an open repository of published polygenic scoring models used in genomic research.

PGS ID
PGS001340
Score Name
GBE_HC281
Reported Trait
Atrial fibrillation
Development Method
snpnet
Number of Variants
2,955
Original Genome Build
GRCh37
Weight Type
NR
Release Date
October 21, 2021

Source Publication

Significant sparse polygenic risk scores across 813 traits in UK Biobank.

Tanigawa YPLoS GenetMarch 24, 2022

Development Samples

Polygenic risk scores are developed against large reference datasets. This score was built using the UK Biobank, a biomedical cohort with genetic and health data from roughly 500,000 participants — large enough to identify reliable genetic associations.

AncestrySample SizeCountryCohort
European(white British ancestry)269,704UKUKB

Ancestry Distribution

Development (269,704 individuals)

100%
European (100%)

Evaluation (6 sample sets)

33.3%
16.7%
16.7%
16.7%
16.7%
European (33.3%)
African (16.7%)
East Asian (16.7%)
MAO (16.7%)
South Asian (16.7%)

Performance Evaluations

Polygenic risk scores are usually developed and validated in populations of European ancestry. Predictive accuracy can vary across ancestries because of differences in genetic architecture, linkage disequilibrium patterns, and allele frequencies. For binary traits like disease risk, AUROC measures how well the score separates cases from controls (0.5 = random, 1.0 = perfect). Values substantially below the best-performing ancestry are highlighted to flag reduced transferability.

AncestryThe broad ancestral population of the evaluation sample.NNumber of individuals in the evaluation sample.R²Proportion of variance explained by the full model (PGS + covariates). Higher is better.PGS R²Proportion of variance explained by the PGS alone, without covariates. Isolates the predictive power of the genetic score.AUROCArea Under the Receiver Operating Characteristic curve. Measures how well the score discriminates cases from controls. 0.5 = random, 1.0 = perfect.Covariates
African6,4970.10140.00290.7537[0.7109, 0.7965]age, sex, UKB array type, Genotype PCs
East Asian1,7040.15390.01130.8233[0.7515, 0.8951]age, sex, UKB array type, Genotype PCs
European24,9050.13690.02330.7756[0.7620, 0.7892]age, sex, UKB array type, Genotype PCs
South Asian7,8310.09300.00590.7351[0.6983, 0.7718]age, sex, UKB array type, Genotype PCs
European67,4250.12770.02240.7616[0.7537, 0.7694]age, sex, UKB array type, Genotype PCs
Greater Middle Eastern (Middle Eastern, North African or Persian)6,816——0.5600sex, age, and 5 PCs

Frequently asked questions

Can I check my atrial fibrillation polygenic risk score with 23andMe data?

Yes. Upload a raw data file from 23andMe, AncestryDNA, MyHeritage, or tellmeGen, or a single-sample whole-genome VCF, and the Genomisaur Health Report computes PGS001340 along with the other scores in your report. Array files are imputed to roughly 30 million variants first. Results are ready in about 20 minutes, and no new DNA test is needed.

What does a high polygenic risk score for atrial fibrillation mean?

It means your genetic variants, added up, place you higher than most people in the reference population for atrial fibrillation. It is a statement about relative genetic predisposition, not a diagnosis: lifestyle, environment, and family history matter too, and many people with high scores never develop the condition.

Where does the PGS001340 score come from?

PGS001340 is listed in the PGS Catalog and was published by Tanigawa Y et al. in PLoS Genet (2022). It combines 2,955 genetic variants. Performance metrics and the ancestry of the study participants are shown on this page.

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PGS obtained from the Catalog should be cited appropriately, and used in accordance with any licensing restrictions set by the authors. See EBI Terms of Use (https://www.ebi.ac.uk/about/terms-of-use/) for additional details.