Trait: snoring measurement

Experimental Factor Ontology (EFO) Information
Identifier EFO_0008341
Description quantification of some aspect of snoring such as frequency or severity
Trait category
Other measurement
Mapped term PMID:28604731

Associated Polygenic Score(s)

Filter PGS by Participant Ancestry
Individuals included in:
G - Source of Variant Associations (GWAS)
D - Score Development/Training
E - PGS Evaluation
List of ancestries includes:
Display options:
Ancestry legend
Multi-ancestry (including European)
Multi-ancestry (excluding European)
African
East Asian
South Asian
Additional Asian Ancestries
European
Greater Middle Eastern
Hispanic or Latin American
Additional Diverse Ancestries
Not Reported
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Polygenic Score ID & Name
PGS Publication ID (PGP)
Reported Trait
Mapped Trait(s) (Ontology)
Number of Variants
Ancestry distribution
GWAS
Dev
Eval
Scoring File (FTP Link)
PGS001054
(GBE_BIN1210)
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Snoringsnoring measurement7,407
-
D
E
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001054/ScoringFiles/PGS001054.txt.gz
PGS002006
(portability-PLR_snoring)
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Snoringsnoring measurement33,917
-
D
E
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002006/ScoringFiles/PGS002006.txt.gz
PGS002225
(portability-ldpred2_snoring)
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Snoringsnoring measurement913,306
-
D
E
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002225/ScoringFiles/PGS002225.txt.gz
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Performance Metrics

Disclaimer: The performance metrics are displayed as reported by the source studies. It is important to note that metrics are not necessarily comparable with each other. For example, metrics depend on the sample characteristics (described by the PGS Catalog Sample Set [PSS] ID), phenotyping, and statistical modelling. Please refer to the source publication for additional guidance on performance.

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PGS Performance
Metric ID (PPM)
Evaluated Score
PGS Sample Set ID
(PSS)
Performance Source
Trait
PGS Effect Sizes
(per SD change)
Classification Metrics
Other Metrics
Covariates Included in the Model
PGS Performance:
Other Relevant Information
PPM008028PGS001054
(GBE_BIN1210)
PSS003632|
African Ancestry|
5,724 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: Snoring—AUROC: 0.56752 [0.55195, 0.58308]R²: 0.01836
Incremental AUROC (full-covars): 0.00418
PGS R2 (no covariates): 0.00323
PGS AUROC (no covariates): 0.52957 [0.51394, 0.54521]		age, sex, UKB array type, Genotype PCsFull Model & PGS R2 is estimated using Nagelkerke's method
PPM008029PGS001054
(GBE_BIN1210)
PSS003633|
East Asian Ancestry|
1,487 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: Snoring—AUROC: 0.67171 [0.64335, 0.70007]R²: 0.11762
Incremental AUROC (full-covars): 0.01614
PGS R2 (no covariates): 0.00954
PGS AUROC (no covariates): 0.55576 [0.52576, 0.58577]		age, sex, UKB array type, Genotype PCsFull Model & PGS R2 is estimated using Nagelkerke's method
PPM008030PGS001054
(GBE_BIN1210)
PSS003634|
European Ancestry|
22,809 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: Snoring—AUROC: 0.6348 [0.62735, 0.64225]R²: 0.06823
Incremental AUROC (full-covars): 0.01869
PGS R2 (no covariates): 0.01264
PGS AUROC (no covariates): 0.55683 [0.5491, 0.56456]		age, sex, UKB array type, Genotype PCsFull Model & PGS R2 is estimated using Nagelkerke's method
PPM008031PGS001054
(GBE_BIN1210)
PSS003635|
South Asian Ancestry|
6,976 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: Snoring—AUROC: 0.60905 [0.59574, 0.62235]R²: 0.04773
Incremental AUROC (full-covars): 0.0076
PGS R2 (no covariates): 0.00635
PGS AUROC (no covariates): 0.54076 [0.52704, 0.55447]		age, sex, UKB array type, Genotype PCsFull Model & PGS R2 is estimated using Nagelkerke's method
PPM008032PGS001054
(GBE_BIN1210)
PSS003636|
European Ancestry|
63,239 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: Snoring—AUROC: 0.6302 [0.62577, 0.63463]R²: 0.06538
Incremental AUROC (full-covars): 0.01667
PGS R2 (no covariates): 0.01001
PGS AUROC (no covariates): 0.54987 [0.54527, 0.55446]		age, sex, UKB array type, Genotype PCsFull Model & PGS R2 is estimated using Nagelkerke's method
PPM010922PGS002006
(portability-PLR_snoring)
PSS009491|
European Ancestry|
18,616 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Snoring——Partial Correlation (partial-r): 0.1113 [0.0971, 0.1255]sex, age, birth date, deprivation index, 16 PCs—
PPM010923PGS002006
(portability-PLR_snoring)
PSS009265|
European Ancestry|
3,654 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Snoring——Partial Correlation (partial-r): 0.1078 [0.0755, 0.1398]sex, age, birth date, deprivation index, 16 PCs—
PPM010924PGS002006
(portability-PLR_snoring)
PSS008819|
European Ancestry|
6,027 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Snoring——Partial Correlation (partial-r): 0.0992 [0.0741, 0.1242]sex, age, birth date, deprivation index, 16 PCs—
PPM010925PGS002006
(portability-PLR_snoring)
PSS008593|
Greater Middle Eastern Ancestry|
1,011 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Snoring——Partial Correlation (partial-r): 0.0834 [0.0212, 0.1449]sex, age, birth date, deprivation index, 16 PCs—
PPM010926PGS002006
(portability-PLR_snoring)
PSS008371|
South Asian Ancestry|
5,655 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Snoring——Partial Correlation (partial-r): 0.0816 [0.0556, 0.1075]sex, age, birth date, deprivation index, 16 PCs—
PPM010927PGS002006
(portability-PLR_snoring)
PSS008147|
East Asian Ancestry|
1,576 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Snoring——Partial Correlation (partial-r): 0.0748 [0.0252, 0.1241]sex, age, birth date, deprivation index, 16 PCs—
PPM010928PGS002006
(portability-PLR_snoring)
PSS007935|
African Ancestry|
2,178 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Snoring——Partial Correlation (partial-r): 0.07 [0.0279, 0.1119]sex, age, birth date, deprivation index, 16 PCs—
PPM010929PGS002006
(portability-PLR_snoring)
PSS009039|
African Ancestry|
3,448 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Snoring——Partial Correlation (partial-r): 0.0557 [0.0223, 0.089]sex, age, birth date, deprivation index, 16 PCs—
PPM012646PGS002225
(portability-ldpred2_snoring)
PSS009491|
European Ancestry|
18,616 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Snoring——Partial Correlation (partial-r): 0.1313 [0.1171, 0.1454]sex, age, birth date, deprivation index, 16 PCs—
PPM012647PGS002225
(portability-ldpred2_snoring)
PSS009265|
European Ancestry|
3,654 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Snoring——Partial Correlation (partial-r): 0.1156 [0.0834, 0.1476]sex, age, birth date, deprivation index, 16 PCs—
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Evaluated Samples

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PGS Sample Set ID
(PSS)
Phenotype Definitions and Methods
Participant Follow-up Time
Sample Numbers
Age of Study Participants
Sample Ancestry
Additional Ancestry Description
Cohort(s)
Additional Sample/Cohort Information
PSS003632——
[
  • 2,011 cases
  • , 3,713 controls
]
—African unspecified—UKB—
PSS003633——
[
  • 557 cases
  • , 930 controls
]
—East Asian—UKB—
PSS003634——
[
  • 8,244 cases
  • , 14,565 controls
]
—Europeannon-white British ancestryUKB—
PSS003635——
[
  • 2,920 cases
  • , 4,056 controls
]
—South Asian—UKB—
PSS003636——
[
  • 24,281 cases
  • , 38,958 controls
]
—Europeanwhite British ancestryUKBTesting cohort (heldout set)
PSS007935——2,178 individuals—African American or Afro-CaribbeanCarribeanUKB—
PSS008147——1,576 individuals—East AsianChina (East Asia)UKB—
PSS008371——5,655 individuals—South AsianIndia (South Asia)UKB—
PSS008593——1,011 individuals—Greater Middle Eastern (Middle Eastern, North African or Persian)Iran (Middle East)UKB—
PSS008819——6,027 individuals—EuropeanItaly (South Europe)UKB—
PSS009039——3,448 individuals—African unspecifiedNigeria (West Africa)UKB—
PSS009265——3,654 individuals—EuropeanPoland (NE Europe)UKB—
PSS009491——18,616 individuals—EuropeanUK (+ Ireland)UKB—
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