Trait Information | |
Identifier | MONDO_0003406 |
Description | Abnormal sleep-wake schedule or pattern associated with the circadian rhythm which affect the length, timing, and/or rigidity of the sleep-wake cycle relative to the day-night cycle. These can include dyssomnias such as circadian rhythm disorders, hypersomnia, and sleep apnea and parasomnias such as bruxism and rapid eye movement sleep disorder. [MESH: D012893] | Trait category |
Neurological disorder
|
Synonyms |
41 synonyms
|
Mapped terms |
9 mapped terms
|
Child trait(s) | 5 child traits |
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) |
---|---|---|---|---|---|---|
PGS000756 (GRS3_Nar) |
PGP000162 | Ouyang H et al. Ann Transl Med (2020) |
Narcolepsy | narcolepsy-cataplexy syndrome | 32 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000756/ScoringFiles/PGS000756.txt.gz |
PGS000757 (GRS4_Nar) |
PGP000162 | Ouyang H et al. Ann Transl Med (2020) |
Narcolepsy | narcolepsy-cataplexy syndrome | 5 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000757/ScoringFiles/PGS000757.txt.gz |
PGS000926 (GBE_QT_FC1001220) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Daytime dozing / sleeping (narcolepsy) | narcolepsy | 4,194 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000926/ScoringFiles/PGS000926.txt.gz |
PGS001995 (portability-PLR_narcolepsy) |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Daytime dozing / sleeping (narcolepsy) | narcolepsy | 27,143 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001995/ScoringFiles/PGS001995.txt.gz |
PGS002212 (portability-ldpred2_narcolepsy) |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Daytime dozing / sleeping (narcolepsy) | narcolepsy | 893,802 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002212/ScoringFiles/PGS002212.txt.gz |
PGS003204 (ExPRSweb_SleepApnea_finngen-R4-G6-SLEEPAPNO_LASSOSUM_MGI_20211120) |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Sleep apnea | sleep apnea | 4,360 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003204/ScoringFiles/PGS003204.txt.gz | |
PGS003205 (ExPRSweb_SleepApnea_finngen-R4-G6-SLEEPAPNO_PT_MGI_20211120) |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Sleep apnea | sleep apnea | 5,300 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003205/ScoringFiles/PGS003205.txt.gz | |
PGS003206 (ExPRSweb_SleepApnea_finngen-R4-G6-SLEEPAPNO_PLINK_MGI_20211120) |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Sleep apnea | sleep apnea | 9,873 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003206/ScoringFiles/PGS003206.txt.gz | |
PGS003207 (ExPRSweb_SleepApnea_finngen-R4-G6-SLEEPAPNO_DBSLMM_MGI_20211120) |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Sleep apnea | sleep apnea | 355 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003207/ScoringFiles/PGS003207.txt.gz | |
PGS003208 (ExPRSweb_SleepApnea_finngen-R4-G6-SLEEPAPNO_PRSCS_MGI_20211120) |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Sleep apnea | sleep apnea | 12,076 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003208/ScoringFiles/PGS003208.txt.gz | |
PGS003209 (ExPRSweb_SleepApnea_G6-SLEEPAPNO_LASSOSUM_MGI_20211120) |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Sleep apnea | sleep apnea | 328,671 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003209/ScoringFiles/PGS003209.txt.gz | |
PGS003210 (ExPRSweb_SleepApnea_G6-SLEEPAPNO_PT_MGI_20211120) |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Sleep apnea | sleep apnea | 40,992 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003210/ScoringFiles/PGS003210.txt.gz | |
PGS003211 (ExPRSweb_SleepApnea_G6-SLEEPAPNO_PLINK_MGI_20211120) |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Sleep apnea | sleep apnea | 39,223 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003211/ScoringFiles/PGS003211.txt.gz | |
PGS003212 (ExPRSweb_SleepApnea_G6-SLEEPAPNO_DBSLMM_MGI_20211120) |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Sleep apnea | sleep apnea | 7,601,206 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003212/ScoringFiles/PGS003212.txt.gz | |
PGS003213 (ExPRSweb_SleepApnea_G6-SLEEPAPNO_PRSCS_MGI_20211120) |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Sleep apnea | sleep apnea | 1,111,194 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003213/ScoringFiles/PGS003213.txt.gz | |
PGS003214 (ExPRSweb_SleepApnea_finngen-R4-G6-SLEEPAPNO_LASSOSUM_UKB_20211120) |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Sleep apnea | sleep apnea | 5,812 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003214/ScoringFiles/PGS003214.txt.gz | |
PGS003215 (ExPRSweb_SleepApnea_finngen-R4-G6-SLEEPAPNO_PT_UKB_20211120) |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Sleep apnea | sleep apnea | 1,209 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003215/ScoringFiles/PGS003215.txt.gz | |
PGS003216 (ExPRSweb_SleepApnea_finngen-R4-G6-SLEEPAPNO_PLINK_UKB_20211120) |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Sleep apnea | sleep apnea | 688 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003216/ScoringFiles/PGS003216.txt.gz | |
PGS003217 (ExPRSweb_SleepApnea_finngen-R4-G6-SLEEPAPNO_DBSLMM_UKB_20211120) |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Sleep apnea | sleep apnea | 46 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003217/ScoringFiles/PGS003217.txt.gz | |
PGS003218 (ExPRSweb_SleepApnea_finngen-R4-G6-SLEEPAPNO_PRSCS_UKB_20211120) |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Sleep apnea | sleep apnea | 12,097 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003218/ScoringFiles/PGS003218.txt.gz | |
PGS003414 (PRS47_RBD) |
PGP000427 | Krohn L et al. Nat Commun (2022) |
REM sleep behavior disorder | REM sleep behavior disorder | 47 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003414/ScoringFiles/PGS003414.txt.gz |
PGS003479 (LDPred2_SleepApnea) |
PGP000456 | Zhang Y et al. EBioMedicine (2022) |
Obstructive sleep apnea | obstructive sleep apnea | 836,839 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003479/ScoringFiles/PGS003479.txt.gz |
PGS003857 (GRS18_BMIunadj) |
PGP000496 | Sofer T et al. EBioMedicine (2023) |
Obstructive sleep apnea | obstructive sleep apnea | 18 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003857/ScoringFiles/PGS003857.txt.gz |
PGS003858 (GRS6_BMIadj) |
PGP000496 | Sofer T et al. EBioMedicine (2023) |
Obstructive sleep apnea (BMI adjusted) | obstructive sleep apnea | 6 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003858/ScoringFiles/PGS003858.txt.gz |
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 |
---|---|---|---|---|---|---|---|---|---|
PPM001925 | PGS000756 (GRS3_Nar) |
PSS000966| East Asian Ancestry| 2,884 individuals |
PGP000162 | Ouyang H et al. Ann Transl Med (2020) |
Reported Trait: Incident narcolepsy | OR: 1.149 [1.119, 1.181] | — | Odds Ratio (OR, high vs low risk): 2.586 [2.109, 3.173] | — | Individuals with a high polygenic risk had a score ≥28. Individuals with a low polygenic risk had a score <25. |
PPM001926 | PGS000756 (GRS3_Nar) |
PSS000966| East Asian Ancestry| 2,884 individuals |
PGP000162 | Ouyang H et al. Ann Transl Med (2020) |
Reported Trait: Incident narcolepsy | OR: 1.152 [1.12, 1.185] | AUROC: 0.723 | Odds Ratio (OR, high vs low risk): 2.602 [2.097, 3.232] | Gender | Individuals with a high polygenic risk had a score ≥28. Individuals with a low polygenic risk had a score <25. |
PPM001927 | PGS000757 (GRS4_Nar) |
PSS000966| East Asian Ancestry| 2,884 individuals |
PGP000162 | Ouyang H et al. Ann Transl Med (2020) |
Reported Trait: Incident narcolepsy | OR: 1.449 [1.367, 1.536] | — | Odds Ratio (OR, high vs low risk): 4.298 [3.378, 5.481] | — | Individuals with a high polygenic risk had a score ≥8. Individuals with a low polygenic risk had a score <6. |
PPM001928 | PGS000757 (GRS4_Nar) |
PSS000966| East Asian Ancestry| 2,884 individuals |
PGP000162 | Ouyang H et al. Ann Transl Med (2020) |
Reported Trait: Incident narcolepsy | OR: 1.442 [1.357, 1.534] | AUROC: 0.736 | Odds Ratio (OR, high vs low risk): 4.157 [3.224, 5.371] | Gender | Individuals with a high polygenic risk had a score ≥8. Individuals with a low polygenic risk had a score <6. |
PPM007457 | PGS000926 (GBE_QT_FC1001220) |
PSS007536| African Ancestry| 6,254 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Daytime dozing / sleeping (narcolepsy) | — | — | R²: 0.02468 [0.01723, 0.03213] Incremental R2 (full-covars): -0.00089 PGS R2 (no covariates): 0.00034 [-0.00056, 0.00125] |
age, sex, UKB array type, Genotype PCs | — |
PPM007458 | PGS000926 (GBE_QT_FC1001220) |
PSS007537| East Asian Ancestry| 1,629 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Daytime dozing / sleeping (narcolepsy) | — | — | Incremental R2 (full-covars): 0.00183 R²: 0.03667 [0.01919, 0.05415] PGS R2 (no covariates): 0.00244 [-0.00223, 0.0071] |
age, sex, UKB array type, Genotype PCs | — |
PPM007459 | PGS000926 (GBE_QT_FC1001220) |
PSS007538| European Ancestry| 24,713 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Daytime dozing / sleeping (narcolepsy) | — | — | R²: 0.02067 [0.01717, 0.02417] Incremental R2 (full-covars): 0.00439 PGS R2 (no covariates): 0.00422 [0.00261, 0.00583] |
age, sex, UKB array type, Genotype PCs | — |
PPM007460 | PGS000926 (GBE_QT_FC1001220) |
PSS007539| South Asian Ancestry| 7,410 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Daytime dozing / sleeping (narcolepsy) | — | — | R²: 0.0158 [0.01032, 0.02128] Incremental R2 (full-covars): 0.00236 PGS R2 (no covariates): 0.00251 [0.0003, 0.00473] |
age, sex, UKB array type, Genotype PCs | — |
PPM007461 | PGS000926 (GBE_QT_FC1001220) |
PSS007540| European Ancestry| 67,196 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Daytime dozing / sleeping (narcolepsy) | — | — | R²: 0.02284 [0.02061, 0.02507] Incremental R2 (full-covars): 0.00532 PGS R2 (no covariates): 0.00542 [0.00431, 0.00652] |
age, sex, UKB array type, Genotype PCs | — |
PPM010835 | PGS001995 (portability-PLR_narcolepsy) |
PSS009478| European Ancestry| 19,922 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Daytime dozing / sleeping (narcolepsy) | — | — | Partial Correlation (partial-r): 0.0959 [0.0822, 0.1097] | sex, age, birth date, deprivation index, 16 PCs | — |
PPM010836 | PGS001995 (portability-PLR_narcolepsy) |
PSS009252| European Ancestry| 4,057 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Daytime dozing / sleeping (narcolepsy) | — | — | Partial Correlation (partial-r): 0.0898 [0.0591, 0.1203] | sex, age, birth date, deprivation index, 16 PCs | — |
PPM010837 | PGS001995 (portability-PLR_narcolepsy) |
PSS008806| European Ancestry| 6,571 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Daytime dozing / sleeping (narcolepsy) | — | — | Partial Correlation (partial-r): 0.0631 [0.039, 0.0872] | sex, age, birth date, deprivation index, 16 PCs | — |
PPM010838 | PGS001995 (portability-PLR_narcolepsy) |
PSS008580| Greater Middle Eastern Ancestry| 1,078 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Daytime dozing / sleeping (narcolepsy) | — | — | Partial Correlation (partial-r): 0.0622 [0.002, 0.1221] | sex, age, birth date, deprivation index, 16 PCs | — |
PPM010839 | PGS001995 (portability-PLR_narcolepsy) |
PSS008358| South Asian Ancestry| 6,001 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Daytime dozing / sleeping (narcolepsy) | — | — | Partial Correlation (partial-r): 0.0739 [0.0487, 0.0991] | sex, age, birth date, deprivation index, 16 PCs | — |
PPM010840 | PGS001995 (portability-PLR_narcolepsy) |
PSS008135| East Asian Ancestry| 1,752 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Daytime dozing / sleeping (narcolepsy) | — | — | Partial Correlation (partial-r): 0.0367 [-0.0104, 0.0837] | sex, age, birth date, deprivation index, 16 PCs | — |
PPM010841 | PGS001995 (portability-PLR_narcolepsy) |
PSS007922| African Ancestry| 2,395 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Daytime dozing / sleeping (narcolepsy) | — | — | Partial Correlation (partial-r): 0.0267 [-0.0135, 0.0668] | sex, age, birth date, deprivation index, 16 PCs | — |
PPM010842 | PGS001995 (portability-PLR_narcolepsy) |
PSS009026| African Ancestry| 3,750 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Daytime dozing / sleeping (narcolepsy) | — | — | Partial Correlation (partial-r): 0.0356 [0.0036, 0.0677] | sex, age, birth date, deprivation index, 16 PCs | — |
PPM012543 | PGS002212 (portability-ldpred2_narcolepsy) |
PSS009478| European Ancestry| 19,922 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Daytime dozing / sleeping (narcolepsy) | — | — | Partial Correlation (partial-r): 0.1104 [0.0966, 0.1241] | sex, age, birth date, deprivation index, 16 PCs | — |
PPM012544 | PGS002212 (portability-ldpred2_narcolepsy) |
PSS009252| European Ancestry| 4,057 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Daytime dozing / sleeping (narcolepsy) | — | — | Partial Correlation (partial-r): 0.0922 [0.0616, 0.1227] | sex, age, birth date, deprivation index, 16 PCs | — |
PPM012545 | PGS002212 (portability-ldpred2_narcolepsy) |
PSS008806| European Ancestry| 6,571 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Daytime dozing / sleeping (narcolepsy) | — | — | Partial Correlation (partial-r): 0.0802 [0.0561, 0.1042] | sex, age, birth date, deprivation index, 16 PCs | — |
PPM012546 | PGS002212 (portability-ldpred2_narcolepsy) |
PSS008580| Greater Middle Eastern Ancestry| 1,078 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Daytime dozing / sleeping (narcolepsy) | — | — | Partial Correlation (partial-r): 0.0377 [-0.0227, 0.0977] | sex, age, birth date, deprivation index, 16 PCs | — |
PPM012547 | PGS002212 (portability-ldpred2_narcolepsy) |
PSS008358| South Asian Ancestry| 6,001 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Daytime dozing / sleeping (narcolepsy) | — | — | Partial Correlation (partial-r): 0.0784 [0.0531, 0.1035] | sex, age, birth date, deprivation index, 16 PCs | — |
PPM012548 | PGS002212 (portability-ldpred2_narcolepsy) |
PSS008135| East Asian Ancestry| 1,752 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Daytime dozing / sleeping (narcolepsy) | — | — | Partial Correlation (partial-r): 0.0407 [-0.0064, 0.0876] | sex, age, birth date, deprivation index, 16 PCs | — |
PPM012549 | PGS002212 (portability-ldpred2_narcolepsy) |
PSS007922| African Ancestry| 2,395 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Daytime dozing / sleeping (narcolepsy) | — | — | Partial Correlation (partial-r): 0.05 [0.0098, 0.0901] | sex, age, birth date, deprivation index, 16 PCs | — |
PPM012550 | PGS002212 (portability-ldpred2_narcolepsy) |
PSS009026| African Ancestry| 3,750 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Daytime dozing / sleeping (narcolepsy) | — | — | Partial Correlation (partial-r): 0.0511 [0.019, 0.0831] | sex, age, birth date, deprivation index, 16 PCs | — |
PPM015959 | PGS003204 (ExPRSweb_SleepApnea_finngen-R4-G6-SLEEPAPNO_LASSOSUM_MGI_20211120) |
PSS010012| European Ancestry| 21,354 individuals |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Reported Trait: Sleep Apnea | OR: 0.983 [0.952, 1.014] β: -0.0174 (0.016) |
AUROC: 0.49 [0.482, 0.499] | — | SEX,AGE,Batch,PC1,PC2,PC3,PC4 | — |
PPM015965 | PGS003205 (ExPRSweb_SleepApnea_finngen-R4-G6-SLEEPAPNO_PT_MGI_20211120) |
PSS010012| European Ancestry| 21,354 individuals |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Reported Trait: Sleep Apnea | OR: 0.998 [0.967, 1.03] β: -0.00225 (0.0161) |
AUROC: 0.5 [0.491, 0.509] | — | SEX,AGE,Batch,PC1,PC2,PC3,PC4 | — |
PPM015961 | PGS003206 (ExPRSweb_SleepApnea_finngen-R4-G6-SLEEPAPNO_PLINK_MGI_20211120) |
PSS010012| European Ancestry| 21,354 individuals |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Reported Trait: Sleep Apnea | OR: 0.975 [0.945, 1.007] β: -0.0252 (0.0162) |
AUROC: 0.49 [0.48, 0.499] | — | SEX,AGE,Batch,PC1,PC2,PC3,PC4 | — |
PPM015957 | PGS003207 (ExPRSweb_SleepApnea_finngen-R4-G6-SLEEPAPNO_DBSLMM_MGI_20211120) |
PSS010012| European Ancestry| 21,354 individuals |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Reported Trait: Sleep Apnea | OR: 0.975 [0.945, 1.005] β: -0.0258 (0.016) |
AUROC: 0.492 [0.484, 0.501] | — | SEX,AGE,Batch,PC1,PC2,PC3,PC4 | — |
PPM015963 | PGS003208 (ExPRSweb_SleepApnea_finngen-R4-G6-SLEEPAPNO_PRSCS_MGI_20211120) |
PSS010012| European Ancestry| 21,354 individuals |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Reported Trait: Sleep Apnea | OR: 1.016 [0.984, 1.048] β: 0.0154 (0.0161) |
AUROC: 0.505 [0.497, 0.514] | — | SEX,AGE,Batch,PC1,PC2,PC3,PC4 | — |
PPM015953 | PGS003209 (ExPRSweb_SleepApnea_G6-SLEEPAPNO_LASSOSUM_MGI_20211120) |
PSS010012| European Ancestry| 21,354 individuals |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Reported Trait: Sleep Apnea | OR: 1.053 [1.02, 1.087] β: 0.0517 (0.0162) |
AUROC: 0.514 [0.506, 0.523] | — | SEX,AGE,Batch,PC1,PC2,PC3,PC4 | — |
PPM015956 | PGS003210 (ExPRSweb_SleepApnea_G6-SLEEPAPNO_PT_MGI_20211120) |
PSS010012| European Ancestry| 21,354 individuals |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Reported Trait: Sleep Apnea | OR: 1.073 [1.04, 1.108] β: 0.0708 (0.0162) |
AUROC: 0.519 [0.51, 0.528] | — | SEX,AGE,Batch,PC1,PC2,PC3,PC4 | — |
PPM015954 | PGS003211 (ExPRSweb_SleepApnea_G6-SLEEPAPNO_PLINK_MGI_20211120) |
PSS010012| European Ancestry| 21,354 individuals |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Reported Trait: Sleep Apnea | OR: 1.061 [1.028, 1.096] β: 0.0595 (0.0162) |
AUROC: 0.515 [0.506, 0.525] | — | SEX,AGE,Batch,PC1,PC2,PC3,PC4 | — |
PPM015952 | PGS003212 (ExPRSweb_SleepApnea_G6-SLEEPAPNO_DBSLMM_MGI_20211120) |
PSS010012| European Ancestry| 21,354 individuals |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Reported Trait: Sleep Apnea | OR: 1.014 [0.982, 1.046] β: 0.0135 (0.016) |
AUROC: 0.496 [0.487, 0.504] | — | SEX,AGE,Batch,PC1,PC2,PC3,PC4 | — |
PPM015955 | PGS003213 (ExPRSweb_SleepApnea_G6-SLEEPAPNO_PRSCS_MGI_20211120) |
PSS010012| European Ancestry| 21,354 individuals |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Reported Trait: Sleep Apnea | OR: 1.106 [1.071, 1.142] β: 0.101 (0.0162) |
AUROC: 0.527 [0.517, 0.536] | — | SEX,AGE,Batch,PC1,PC2,PC3,PC4 | — |
PPM015960 | PGS003214 (ExPRSweb_SleepApnea_finngen-R4-G6-SLEEPAPNO_LASSOSUM_UKB_20211120) |
PSS010032| European Ancestry| 203,685 individuals |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Reported Trait: Sleep Apnea | OR: 1.004 [0.962, 1.047] β: 0.00364 (0.0214) |
AUROC: 0.5 [0.489, 0.513] | — | Sex,birthYear,genotyping.array,PC1,PC2,PC3,PC4 | — |
PPM015966 | PGS003215 (ExPRSweb_SleepApnea_finngen-R4-G6-SLEEPAPNO_PT_UKB_20211120) |
PSS010032| European Ancestry| 203,685 individuals |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Reported Trait: Sleep Apnea | OR: 0.967 [0.928, 1.009] β: -0.0331 (0.0215) |
AUROC: 0.489 [0.477, 0.501] | — | Sex,birthYear,genotyping.array,PC1,PC2,PC3,PC4 | — |
PPM015962 | PGS003216 (ExPRSweb_SleepApnea_finngen-R4-G6-SLEEPAPNO_PLINK_UKB_20211120) |
PSS010032| European Ancestry| 203,685 individuals |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Reported Trait: Sleep Apnea | β: -0.00819 (0.0214) OR: 0.992 [0.951, 1.034] |
AUROC: 0.497 [0.485, 0.509] | — | Sex,birthYear,genotyping.array,PC1,PC2,PC3,PC4 | — |
PPM015958 | PGS003217 (ExPRSweb_SleepApnea_finngen-R4-G6-SLEEPAPNO_DBSLMM_UKB_20211120) |
PSS010032| European Ancestry| 203,685 individuals |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Reported Trait: Sleep Apnea | OR: 1.021 [0.98, 1.064] β: 0.0207 (0.0211) |
AUROC: 0.485 [0.475, 0.495] | — | Sex,birthYear,genotyping.array,PC1,PC2,PC3,PC4 | — |
PPM015964 | PGS003218 (ExPRSweb_SleepApnea_finngen-R4-G6-SLEEPAPNO_PRSCS_UKB_20211120) |
PSS010032| European Ancestry| 203,685 individuals |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Reported Trait: Sleep Apnea | OR: 1.003 [0.962, 1.046] β: 0.00286 (0.0214) |
AUROC: 0.5 [0.488, 0.512] | — | Sex,birthYear,genotyping.array,PC1,PC2,PC3,PC4 | — |
PPM017064 | PGS003414 (PRS47_RBD) |
PSS010109| European Ancestry| 1,477 individuals |
PGP000427 | Krohn L et al. Nat Commun (2022) |
Reported Trait: Isolated REM sleep behavior disorder | — | AUROC: 0.614 [0.575, 0.654] | — | — | — |
PPM017065 | PGS003414 (PRS47_RBD) |
PSS010110| European Ancestry| 1,192 individuals |
PGP000427 | Krohn L et al. Nat Commun (2022) |
Reported Trait: Probabable REM sleep behavior disorder (with Parkinson disease) | — | AUROC: 0.597 [0.56, 0.634] | — | — | — |
PPM017066 | PGS003414 (PRS47_RBD) |
PSS010111| European Ancestry| 1,124 individuals |
PGP000427 | Krohn L et al. Nat Commun (2022) |
Reported Trait: Probabable REM sleep behavior disorder | — | AUROC: 0.548 [0.505, 0.59] | — | — | — |
PPM017318 | PGS003479 (LDPred2_SleepApnea) |
PSS010185| Hispanic or Latin American Ancestry| 1,115 individuals |
PGP000456 | Zhang Y et al. EBioMedicine (2022) |
Reported Trait: DBP | β: 0.038 (0.093) | — | — | Age, sex, center, 5 genetic PCs, Hispanic/Latino background, BMI | — |
PPM017319 | PGS003479 (LDPred2_SleepApnea) |
PSS010185| Hispanic or Latin American Ancestry| 1,115 individuals |
PGP000456 | Zhang Y et al. EBioMedicine (2022) |
Reported Trait: Eosinophils count | β: 0.003 (0.002) | — | — | Age, sex, center, 5 genetic PCs, Hispanic/Latino background, BMI | — |
PPM017320 | PGS003479 (LDPred2_SleepApnea) |
PSS010185| Hispanic or Latin American Ancestry| 1,115 individuals |
PGP000456 | Zhang Y et al. EBioMedicine (2022) |
Reported Trait: FEV1/FVC ratio | β: -0.035 (0.06) | — | — | Age, sex, center, 5 genetic PCs, Hispanic/Latino background, BMI | — |
PPM017321 | PGS003479 (LDPred2_SleepApnea) |
PSS010185| Hispanic or Latin American Ancestry| 1,115 individuals |
PGP000456 | Zhang Y et al. EBioMedicine (2022) |
Reported Trait: Fasting insulin | β: 0.156 (0.091) | — | — | Age, sex, center, 5 genetic PCs, Hispanic/Latino background, BMI | — |
PPM017322 | PGS003479 (LDPred2_SleepApnea) |
PSS010185| Hispanic or Latin American Ancestry| 1,115 individuals |
PGP000456 | Zhang Y et al. EBioMedicine (2022) |
Reported Trait: HbA1c | β: 0.291 (0.122) | — | — | Age, sex, center, 5 genetic PCs, Hispanic/Latino background, BMI | — |
PPM017323 | PGS003479 (LDPred2_SleepApnea) |
PSS010185| Hispanic or Latin American Ancestry| 1,115 individuals |
PGP000456 | Zhang Y et al. EBioMedicine (2022) |
Reported Trait: Hematocrit | β: 0.039 (0.031) | — | — | Age, sex, center, 5 genetic PCs, Hispanic/Latino background, BMI | — |
PPM017324 | PGS003479 (LDPred2_SleepApnea) |
PSS010185| Hispanic or Latin American Ancestry| 1,115 individuals |
PGP000456 | Zhang Y et al. EBioMedicine (2022) |
Reported Trait: Hemoglobin | β: 0.014 (0.011) | — | — | Age, sex, center, 5 genetic PCs, Hispanic/Latino background, BMI | — |
PPM017325 | PGS003479 (LDPred2_SleepApnea) |
PSS010185| Hispanic or Latin American Ancestry| 1,115 individuals |
PGP000456 | Zhang Y et al. EBioMedicine (2022) |
Reported Trait: HOMA-B | β: 1.851 (1.169) | — | — | Age, sex, center, 5 genetic PCs, Hispanic/Latino background, BMI | — |
PPM017326 | PGS003479 (LDPred2_SleepApnea) |
PSS010185| Hispanic or Latin American Ancestry| 1,115 individuals |
PGP000456 | Zhang Y et al. EBioMedicine (2022) |
Reported Trait: HOMA-IR | β: 0.051 (0.03) | — | — | Age, sex, center, 5 genetic PCs, Hispanic/Latino background, BMI | — |
PPM017327 | PGS003479 (LDPred2_SleepApnea) |
PSS010185| Hispanic or Latin American Ancestry| 1,115 individuals |
PGP000456 | Zhang Y et al. EBioMedicine (2022) |
Reported Trait: Heart rate | β: 0.038 (0.106) | — | — | Age, sex, center, 5 genetic PCs, Hispanic/Latino background, BMI | — |
PPM017328 | PGS003479 (LDPred2_SleepApnea) |
PSS010185| Hispanic or Latin American Ancestry| 1,115 individuals |
PGP000456 | Zhang Y et al. EBioMedicine (2022) |
Reported Trait: Insomnia | β: 0.015 (0.049) | — | — | Age, sex, center, 5 genetic PCs, Hispanic/Latino background, BMI | — |
PPM017329 | PGS003479 (LDPred2_SleepApnea) |
PSS010185| Hispanic or Latin American Ancestry| 1,115 individuals |
PGP000456 | Zhang Y et al. EBioMedicine (2022) |
Reported Trait: LDL | β: -0.358 (0.336) | — | — | Age, sex, center, 5 genetic PCs, Hispanic/Latino background, BMI | — |
PPM017330 | PGS003479 (LDPred2_SleepApnea) |
PSS010185| Hispanic or Latin American Ancestry| 1,115 individuals |
PGP000456 | Zhang Y et al. EBioMedicine (2022) |
Reported Trait: Lymphocyte count | β: 0.002 (0.007) | — | — | Age, sex, center, 5 genetic PCs, Hispanic/Latino background, BMI | — |
PPM017331 | PGS003479 (LDPred2_SleepApnea) |
PSS010185| Hispanic or Latin American Ancestry| 1,115 individuals |
PGP000456 | Zhang Y et al. EBioMedicine (2022) |
Reported Trait: Mean arterial pressure | β: 0.011 (0.102) | — | — | Age, sex, center, 5 genetic PCs, Hispanic/Latino background, BMI | — |
PPM017333 | PGS003479 (LDPred2_SleepApnea) |
PSS010185| Hispanic or Latin American Ancestry| 1,115 individuals |
PGP000456 | Zhang Y et al. EBioMedicine (2022) |
Reported Trait: RBC | β: 0.003 (0.003) | — | — | Age, sex, center, 5 genetic PCs, Hispanic/Latino background, BMI | — |
PPM017334 | PGS003479 (LDPred2_SleepApnea) |
PSS010185| Hispanic or Latin American Ancestry| 1,115 individuals |
PGP000456 | Zhang Y et al. EBioMedicine (2022) |
Reported Trait: Sleep duration | β: 0.0 (0.013) | — | — | Age, sex, center, 5 genetic PCs, Hispanic/Latino background, BMI | — |
PPM017335 | PGS003479 (LDPred2_SleepApnea) |
PSS010185| Hispanic or Latin American Ancestry| 1,115 individuals |
PGP000456 | Zhang Y et al. EBioMedicine (2022) |
Reported Trait: Total cholesterol | β: -0.324 (0.391) | — | — | Age, sex, center, 5 genetic PCs, Hispanic/Latino background, BMI | — |
PPM017336 | PGS003479 (LDPred2_SleepApnea) |
PSS010185| Hispanic or Latin American Ancestry| 1,115 individuals |
PGP000456 | Zhang Y et al. EBioMedicine (2022) |
Reported Trait: Triglycerides | β: 0.725 (0.93) | — | — | Age, sex, center, 5 genetic PCs, Hispanic/Latino background, BMI | — |
PPM017337 | PGS003479 (LDPred2_SleepApnea) |
PSS010185| Hispanic or Latin American Ancestry| 1,115 individuals |
PGP000456 | Zhang Y et al. EBioMedicine (2022) |
Reported Trait: WBC | β: 0.006 (0.018) | — | — | Age, sex, center, 5 genetic PCs, Hispanic/Latino background, BMI | — |
PPM017338 | PGS003479 (LDPred2_SleepApnea) |
PSS010185| Hispanic or Latin American Ancestry| 1,115 individuals |
PGP000456 | Zhang Y et al. EBioMedicine (2022) |
Reported Trait: Waist hip ratio | β: 0.002 (0.001) | — | — | Age, sex, center, 5 genetic PCs, Hispanic/Latino background, BMI | — |
PPM017339 | PGS003479 (LDPred2_SleepApnea) |
PSS010185| Hispanic or Latin American Ancestry| 1,115 individuals |
PGP000456 | Zhang Y et al. EBioMedicine (2022) |
Reported Trait: FEV1/FVC ratio | β: 0.002 (0.018) | — | — | Age, sex, center, 5 genetic PCs, Hispanic/Latino background, BMI | — |
PPM017380 | PGS003479 (LDPred2_SleepApnea) |
PSS010185| Hispanic or Latin American Ancestry| 1,115 individuals |
PGP000456 | Zhang Y et al. EBioMedicine (2022) |
Reported Trait: DBP in obsese | β: -0.084 (0.148) | — | — | Age, sex, center, 5 genetic PCs, Hispanic/Latino background, BMI | — |
PPM017381 | PGS003479 (LDPred2_SleepApnea) |
PSS010185| Hispanic or Latin American Ancestry| 1,115 individuals |
PGP000456 | Zhang Y et al. EBioMedicine (2022) |
Reported Trait: DBP in non-obsese | β: 0.116 (0.118) | — | — | Age, sex, center, 5 genetic PCs, Hispanic/Latino background, BMI | — |
PPM017382 | PGS003479 (LDPred2_SleepApnea) |
PSS010185| Hispanic or Latin American Ancestry| 1,115 individuals |
PGP000456 | Zhang Y et al. EBioMedicine (2022) |
Reported Trait: Fasting insulin in obsese | β: 0.201 (0.161) | — | — | Age, sex, center, 5 genetic PCs, Hispanic/Latino background, BMI | — |
PPM017383 | PGS003479 (LDPred2_SleepApnea) |
PSS010185| Hispanic or Latin American Ancestry| 1,115 individuals |
PGP000456 | Zhang Y et al. EBioMedicine (2022) |
Reported Trait: Fasting insulin in non-obsese | β: 0.175 (0.089) | — | — | Age, sex, center, 5 genetic PCs, Hispanic/Latino background, BMI | — |
PPM017384 | PGS003479 (LDPred2_SleepApnea) |
PSS010185| Hispanic or Latin American Ancestry| 1,115 individuals |
PGP000456 | Zhang Y et al. EBioMedicine (2022) |
Reported Trait: HbA1c in obsese | β: 0.052 (0.197) | — | — | Age, sex, center, 5 genetic PCs, Hispanic/Latino background, BMI | — |
PPM017385 | PGS003479 (LDPred2_SleepApnea) |
PSS010185| Hispanic or Latin American Ancestry| 1,115 individuals |
PGP000456 | Zhang Y et al. EBioMedicine (2022) |
Reported Trait: HbA1c in non-obsese | β: 0.488 (0.151) | — | — | Age, sex, center, 5 genetic PCs, Hispanic/Latino background, BMI | — |
PPM017386 | PGS003479 (LDPred2_SleepApnea) |
PSS010185| Hispanic or Latin American Ancestry| 1,115 individuals |
PGP000456 | Zhang Y et al. EBioMedicine (2022) |
Reported Trait: HOMA-B in obsese | β: 0.724 (2.105) | — | — | Age, sex, center, 5 genetic PCs, Hispanic/Latino background, BMI | — |
PPM017387 | PGS003479 (LDPred2_SleepApnea) |
PSS010185| Hispanic or Latin American Ancestry| 1,115 individuals |
PGP000456 | Zhang Y et al. EBioMedicine (2022) |
Reported Trait: HOMA-B in non-obsese | β: 1.664 (1.084) | — | — | Age, sex, center, 5 genetic PCs, Hispanic/Latino background, BMI | — |
PPM017388 | PGS003479 (LDPred2_SleepApnea) |
PSS010185| Hispanic or Latin American Ancestry| 1,115 individuals |
PGP000456 | Zhang Y et al. EBioMedicine (2022) |
Reported Trait: HOMA-IR in obsese | β: 0.076 (0.057) | — | — | Age, sex, center, 5 genetic PCs, Hispanic/Latino background, BMI | — |
PPM017389 | PGS003479 (LDPred2_SleepApnea) |
PSS010185| Hispanic or Latin American Ancestry| 1,115 individuals |
PGP000456 | Zhang Y et al. EBioMedicine (2022) |
Reported Trait: HOMA-IR in non-obsese | β: 0.062 (0.029) | — | — | Age, sex, center, 5 genetic PCs, Hispanic/Latino background, BMI | — |
PPM017390 | PGS003479 (LDPred2_SleepApnea) |
PSS010185| Hispanic or Latin American Ancestry| 1,115 individuals |
PGP000456 | Zhang Y et al. EBioMedicine (2022) |
Reported Trait: Waist hip ratio in obsese | β: 0.002 (0.001) | — | — | Age, sex, center, 5 genetic PCs, Hispanic/Latino background, BMI | — |
PPM017391 | PGS003479 (LDPred2_SleepApnea) |
PSS010185| Hispanic or Latin American Ancestry| 1,115 individuals |
PGP000456 | Zhang Y et al. EBioMedicine (2022) |
Reported Trait: Waist hip ratio in non-obsese | β: 0.001 (0.001) | — | — | Age, sex, center, 5 genetic PCs, Hispanic/Latino background, BMI | — |
PPM017332 | PGS003479 (LDPred2_SleepApnea) |
PSS010185| Hispanic or Latin American Ancestry| 1,115 individuals |
PGP000456 | Zhang Y et al. EBioMedicine (2022) |
Reported Trait: Pulse pressure | β: -0.073 (0.104) | — | — | Age, sex, center, 5 genetic PCs, Hispanic/Latino background, BMI | — |
PPM018710 | PGS003857 (GRS18_BMIunadj) |
PSS011076| Multi-ancestry (including European)| 40,193 individuals |
PGP000496 | Sofer T et al. EBioMedicine (2023) |
Reported Trait: BMI adjusted obstructive sleep apnea | β: 0.014 (0.017) | AUROC: 0.77 [0.75, 0.78] | — | BMI, age, sex, genetic batch, PCs 1-10 | — |
PPM018709 | PGS003857 (GRS18_BMIunadj) |
PSS011076| Multi-ancestry (including European)| 40,193 individuals |
PGP000496 | Sofer T et al. EBioMedicine (2023) |
Reported Trait: BMI unadjusted obstructive sleep apnea | β: 0.082 (0.016) | AUROC: 0.66 [0.64, 0.67] | — | age, sex, genetic batch, PCs 1-10 | — |
PPM018711 | PGS003858 (GRS6_BMIadj) |
PSS011076| Multi-ancestry (including European)| 40,193 individuals |
PGP000496 | Sofer T et al. EBioMedicine (2023) |
Reported Trait: BMI unadjusted obstructive sleep apnea | β: 0.048 (0.015) | AUROC: 0.62 [0.61, 0.64] | — | age, sex, genetic batch, PCs 1-10 | — |
PPM018712 | PGS003858 (GRS6_BMIadj) |
PSS011076| Multi-ancestry (including European)| 40,193 individuals |
PGP000496 | Sofer T et al. EBioMedicine (2023) |
Reported Trait: BMI adjusted obstructive sleep apnea | β: 0.066 (0.017) | AUROC: 0.77 [0.76, 0.79] | — | BMI, age, sex, genetic batch, PCs 1-10 | — |
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 |
---|---|---|---|---|---|---|---|---|
PSS008135 | — | — | 1,752 individuals | — | East Asian | China (East Asia) | UKB | — |
PSS010109 | — | — | [
|
— | European | — | 23andMe, WTCCC | — |
PSS010110 | — | — | [
|
— | European | — | 23andMe, WTCCC | — |
PSS010111 | — | — | [
|
— | European | — | 23andMe, WTCCC | — |
PSS008806 | — | — | 6,571 individuals | — | European | Italy (South Europe) | UKB | — |
PSS007922 | — | — | 2,395 individuals | — | African American or Afro-Caribbean | Carribean | UKB | — |
PSS007536 | — | — | 6,254 individuals | — | African unspecified | — | UKB | — |
PSS007537 | — | — | 1,629 individuals | — | East Asian | — | UKB | — |
PSS007538 | — | — | 24,713 individuals | — | European | non-white British ancestry | UKB | — |
PSS007539 | — | — | 7,410 individuals | — | South Asian | — | UKB | — |
PSS007540 | — | — | 67,196 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |
PSS010185 | — | — | 1,115 individuals, 41.1 % Male samples |
Mean = 46.18 years | Hispanic or Latin American | — | HCHS, SOL | — |
PSS000966 | The narcolepsy patients had either hypocretin deficiency (CSF hypocretin-1 ≤110 pg/mL) or clear-cut cataplexy and HLA-DQB1*06:02. | — | [ ,
44.94 % Male samples |
— | East Asian (Han Chinese, Chinese) |
— | NR | — |
PSS010012 | PheCode 327.3 (http://phewascatalog.org/); Binary | — | [
|
— | European | — | MGI | — |
PSS008580 | — | — | 1,078 individuals | — | Greater Middle Eastern (Middle Eastern, North African or Persian) | Iran (Middle East) | UKB | — |
PSS009478 | — | — | 19,922 individuals | — | European | UK (+ Ireland) | UKB | — |
PSS010032 | PheCode 327.3 (http://phewascatalog.org/); Binary | — | [
|
— | European | — | UKB | — |
PSS011076 | — | — | 2,023 individuals, 37.4 % Male samples |
Mean = 53.16 years Sd = 16.23 years |
African unspecified | — | MGBB | — |
PSS011076 | — | — | 932 individuals, 41.8 % Male samples |
Mean = 47.0 years Sd = 15.67 years |
Asian unspecified | — | MGBB | — |
PSS011076 | — | — | 34,764 individuals, 46.7 % Male samples |
Mean = 60.62 years Sd = 16.83 years |
European | — | MGBB | — |
PSS011076 | — | — | 1,182 individuals, 31.3 % Male samples |
Mean = 52.29 years Sd = 16.56 years |
Hispanic or Latin American | — | MGBB | — |
PSS011076 | — | — | 1,292 individuals, 46.8 % Male samples |
Mean = 52.08 years Sd = 18.42 years |
Not reported | — | MGBB | — |
PSS009252 | — | — | 4,057 individuals | — | European | Poland (NE Europe) | UKB | — |
PSS008358 | — | — | 6,001 individuals | — | South Asian | India (South Asia) | UKB | — |
PSS009026 | — | — | 3,750 individuals | — | African unspecified | Nigeria (West Africa) | UKB | — |