PGS Publication: PGP000206

Publication Information (EuropePMC)
Title Genome-wide association meta-analyses and fine-mapping elucidate pathways influencing albuminuria.
PubMed ID 31511532(Europe PMC)
doi 10.1038/s41467-019-11576-0
Publication Date Sept. 11, 2019
Journal Nat Commun
Author(s) Teumer A, Li Y, Ghasemi S, Prins BP, Wuttke M, Hermle T, Giri A, Sieber KB, Qiu C, Kirsten H, Tin A, Chu AY, Bansal N, Feitosa MF, Wang L, Chai JF, Cocca M, Fuchsberger C, Gorski M, Hoppmann A, Horn K, Li M, Marten J, Noce D, Nutile T, Sedaghat S, Sveinbjornsson G, Tayo BO, van der Most PJ, Xu Y, Yu Z, Gerstner L, Ärnlöv J, Bakker SJL, Baptista D, Biggs ML, Boerwinkle E, Brenner H, Burkhardt R, Carroll RJ, Chee ML, Chee ML, Chen M, Cheng CY, Cook JP, Coresh J, Corre T, Danesh J, de Borst MH, De Grandi A, de Mutsert R, de Vries APJ, Degenhardt F, Dittrich K, Divers J, Eckardt KU, Ehret G, Endlich K, Felix JF, Franco OH, Franke A, Freedman BI, Freitag-Wolf S, Gansevoort RT, Giedraitis V, Gögele M, Grundner-Culemann F, Gudbjartsson DF, Gudnason V, Hamet P, Harris TB, Hicks AA, Holm H, Foo VHX, Hwang SJ, Ikram MA, Ingelsson E, Jaddoe VWV, Jakobsdottir J, Josyula NS, Jung B, Kähönen M, Khor CC, Kiess W, Koenig W, Körner A, Kovacs P, Kramer H, Krämer BK, Kronenberg F, Lange LA, Langefeld CD, Lee JJ, Lehtimäki T, Lieb W, Lim SC, Lind L, Lindgren CM, Liu J, Loeffler M, Lyytikäinen LP, Mahajan A, Maranville JC, Mascalzoni D, McMullen B, Meisinger C, Meitinger T, Miliku K, Mook-Kanamori DO, Müller-Nurasyid M, Mychaleckyj JC, Nauck M, Nikus K, Ning B, Noordam R, Connell JO, Olafsson I, Palmer ND, Peters A, Podgornaia AI, Ponte B, Poulain T, Pramstaller PP, Rabelink TJ, Raffield LM, Reilly DF, Rettig R, Rheinberger M, Rice KM, Rivadeneira F, Runz H, Ryan KA, Sabanayagam C, Saum KU, Schöttker B, Shaffer CM, Shi Y, Smith AV, Strauch K, Stumvoll M, Sun BB, Szymczak S, Tai ES, Tan NYQ, Taylor KD, Teren A, Tham YC, Thiery J, Thio CHL, Thomsen H, Thorsteinsdottir U, Tönjes A, Tremblay J, Uitterlinden AG, van der Harst P, Verweij N, Vogelezang S, Völker U, Waldenberger M, Wang C, Wilson OD, Wong C, Wong TY, Yang Q, Yasuda M, Akilesh S, Bochud M, Böger CA, Devuyst O, Edwards TL, Ho K, Morris AP, Parsa A, Pendergrass SA, Psaty BM, Rotter JI, Stefansson K, Wilson JG, Susztak K, Snieder H, Heid IM, Scholz M, Butterworth AS, Hung AM, Pattaro C, Köttgen A.
Released in PGS Catalog: July 29, 2021

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:
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South Asian
Additional Asian Ancestries
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Greater Middle Eastern
Hispanic or Latin American
Additional Diverse Ancestries
Not Reported

PGS Developed By This Publication

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)
PGS000822
(GRS_UACR)
 PGP000206 |
Teumer A et al. Nat Commun (2019)
 Urinary albumin to creatinine ratio urinary albumin to creatinine ratio 59
-
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000822/ScoringFiles/PGS000822.txt.gz

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.

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
PPM002203 PGS000822
(GRS_UACR)
 PSS001079|
European Ancestry|
232,751 individuals
 PGP000206 |
Teumer A et al. Nat Commun (2019)
 Reported Trait: Microalbuminuria — — Odds Ratio (OR, top 25% vs bottom 25%): 1.69 [1.64, 1.75]
Beta (top 25% vs bottom 25%): 0.527 (0.018)		 — —
PPM002204 PGS000822
(GRS_UACR)
 PSS001074|
European Ancestry|
182,870 individuals
 PGP000206 |
Teumer A et al. Nat Commun (2019)
 Reported Trait: Disorders of lipid metabolism OR: 1.58
β: 0.46 (0.07)		 — — PCs(1-10), sex —
PPM002206 PGS000822
(GRS_UACR)
 PSS001074|
European Ancestry|
182,870 individuals
 PGP000206 |
Teumer A et al. Nat Commun (2019)
 Reported Trait: Mixed hyperlipidemia OR: 1.69
β: 0.53 (0.11)		 — — PCs(1-10), sex —
PPM002207 PGS000822
(GRS_UACR)
 PSS001078|
European Ancestry|
121,142 individuals
 PGP000206 |
Teumer A et al. Nat Commun (2019)
 Reported Trait: Fuchs' dystrophy OR: 6.68 [3.06, 14.59]
β: 1.9 (0.4)		 — — PCs(1-10), sex —
PPM002208 PGS000822
(GRS_UACR)
 PSS001073|
European Ancestry|
182,884 individuals
 PGP000206 |
Teumer A et al. Nat Commun (2019)
 Reported Trait: Hypertension OR: 1.38
β: 0.32 (0.07)		 — — PCs(1-10), sex —
PPM002209 PGS000822
(GRS_UACR)
 PSS001073|
European Ancestry|
182,884 individuals
 PGP000206 |
Teumer A et al. Nat Commun (2019)
 Reported Trait: Essential hypertension OR: 1.37
β: 0.32 (0.07)		 — — PCs(1-10), sex —
PPM002210 PGS000822
(GRS_UACR)
 PSS001077|
European Ancestry|
186,343 individuals
 PGP000206 |
Teumer A et al. Nat Commun (2019)
 Reported Trait: Proteinuria OR: 2.7 [1.76, 4.14]
β: 0.99 (0.22)		 — — PCs(1-10), sex —
PPM002205 PGS000822
(GRS_UACR)
 PSS001074|
European Ancestry|
182,870 individuals
 PGP000206 |
Teumer A et al. Nat Commun (2019)
 Reported Trait: Hyperlipidemia OR: 1.58
β: 0.46 (0.07)		 — — PCs(1-10), sex —
PPM002212 PGS000822
(GRS_UACR)
 PSS001075|
European Ancestry|
188,088 individuals
 PGP000206 |
Teumer A et al. Nat Commun (2019)
 Reported Trait: Gout and other crystal arthropathies OR: 1.58
β: 0.46 (0.1)		 — — PCs(1-10), sex —
PPM002213 PGS000822
(GRS_UACR)
 PSS001076|
European Ancestry|
73,407 individuals
 PGP000206 |
Teumer A et al. Nat Commun (2019)
 Reported Trait: Hypercholesterolemia OR: 1.47
β: 0.39 (0.09)		 — — PCs(1-10), sex —
PPM002211 PGS000822
(GRS_UACR)
 PSS001075|
European Ancestry|
188,088 individuals
 PGP000206 |
Teumer A et al. Nat Commun (2019)
 Reported Trait: Gout OR: 1.6
β: 0.47 (0.1)		 — — PCs(1-10), sex —

Evaluated Samples

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
PSS001073 Cases were individuals with hypertension. Of the 136,370 cases, 136,053 had essential hypertension. —
[
  • 136,370 cases
  • , 46,514 controls
]
 — European — MVP —
PSS001074 Cases were individuals with disorders of lipid metabolism. Of the 141,461 cases, 141,331 had hyperlipidemia and 19,150 had mixed hyperlipidemia. —
[
  • 141,461 cases
  • , 41,409 controls
]
 — European — MVP —
PSS001075 Cases were individuals with gout and other crystal arthropathies. Of the 15,484 cases, 15,011 specifically, had gout. —
[
  • 15,484 cases
  • , 172,524 controls
]
 — European — MVP —
PSS001076 Cases were individuals with hypercholesterolemia. —
[
  • 31,998 cases
  • , 41,409 controls
]
 — European — MVP —
PSS001077 Cases were individuals with proteinuria. —
[
  • 3,122 cases
  • , 183,221 controls
]
 — European — MVP —
PSS001078 Cases were individuals with Fuchs' disease. —
[
  • 874 cases
  • , 120,268 controls
]
 — European — MVP —
PSS001079 Cases were individuals with microalbuminuria (MA). MA was defined by a urinary albumin to creatinine ratio (UACR) > 30 mg/g. —
[
  • 30,014 cases
  • , 202,737 controls
]
 — European — UKB Possible sample overlap (up to 41%) between this dataset and the dataset used to source GRS_UACR.