| Publication Information (EuropePMC) | |
| Title | A catalog of genetic loci associated with kidney function from analyses of a million individuals. |
| PubMed ID | 31152163(Europe PMC) |
| doi | 10.1038/s41588-019-0407-x |
| Publication Date | May 31, 2019 |
| Journal | Nat Genet |
| Author(s) | Wuttke M, Li Y, Li M, Sieber KB, Feitosa MF, Gorski M, Tin A, Wang L, Chu AY, Hoppmann A, Kirsten H, Giri A, Chai JF, Sveinbjornsson G, Tayo BO, Nutile T, Fuchsberger C, Marten J, Cocca M, Ghasemi S, Xu Y, Horn K, Noce D, van der Most PJ, Sedaghat S, Yu Z, Akiyama M, Afaq S, Ahluwalia TS, Almgren P, Amin N, Ärnlöv J, Bakker SJL, Bansal N, Baptista D, Bergmann S, Biggs ML, Biino G, Boehnke M, Boerwinkle E, Boissel M, Bottinger EP, Boutin TS, Brenner H, Brumat M, Burkhardt R, Butterworth AS, Campana E, Campbell A, Campbell H, Canouil M, Carroll RJ, Catamo E, Chambers JC, Chee ML, Chee ML, Chen X, Cheng CY, Cheng Y, Christensen K, Cifkova R, Ciullo M, Concas MP, Cook JP, Coresh J, Corre T, Sala CF, Cusi D, Danesh J, Daw EW, de Borst MH, De Grandi A, de Mutsert R, de Vries APJ, Degenhardt F, Delgado G, Demirkan A, Di Angelantonio E, Dittrich K, Divers J, Dorajoo R, Eckardt KU, Ehret G, Elliott P, Endlich K, Evans MK, Felix JF, Foo VHX, Franco OH, Franke A, Freedman BI, Freitag-Wolf S, Friedlander Y, Froguel P, Gansevoort RT, Gao H, Gasparini P, Gaziano JM, Giedraitis V, Gieger C, Girotto G, Giulianini F, Gögele M, Gordon SD, Gudbjartsson DF, Gudnason V, Haller T, Hamet P, Harris TB, Hartman CA, Hayward C, Hellwege JN, Heng CK, Hicks AA, Hofer E, Huang W, Hutri-Kähönen N, Hwang SJ, Ikram MA, Indridason OS, Ingelsson E, Ising M, Jaddoe VWV, Jakobsdottir J, Jonas JB, Joshi PK, Josyula NS, Jung B, Kähönen M, Kamatani Y, Kammerer CM, Kanai M, Kastarinen M, Kerr SM, Khor CC, Kiess W, Kleber ME, Koenig W, Kooner JS, Körner A, Kovacs P, Kraja AT, Krajcoviechova A, Kramer H, Krämer BK, Kronenberg F, Kubo M, Kühnel B, Kuokkanen M, Kuusisto J, La Bianca M, Laakso M, Lange LA, Langefeld CD, Lee JJ, Lehne B, Lehtimäki T, Lieb W, Lifelines Cohort Study, Lim SC, Lind L, Lindgren CM, Liu J, Liu J, Loeffler M, Loos RJF, Lucae S, Lukas MA, Lyytikäinen LP, Mägi R, Magnusson PKE, Mahajan A, Martin NG, Martins J, März W, Mascalzoni D, Matsuda K, Meisinger C, Meitinger T, Melander O, Metspalu A, Mikaelsdottir EK, Milaneschi Y, Miliku K, Mishra PP, V. A. Million Veteran Program, Mohlke KL, Mononen N, Montgomery GW, Mook-Kanamori DO, Mychaleckyj JC, Nadkarni GN, Nalls MA, Nauck M, Nikus K, Ning B, Nolte IM, Noordam R, O'Connell J, O'Donoghue ML, Olafsson I, Oldehinkel AJ, Orho-Melander M, Ouwehand WH, Padmanabhan S, Palmer ND, Palsson R, Penninx BWJH, Perls T, Perola M, Pirastu M, Pirastu N, Pistis G, Podgornaia AI, Polasek O, Ponte B, Porteous DJ, Poulain T, Pramstaller PP, Preuss MH, Prins BP, Province MA, Rabelink TJ, Raffield LM, Raitakari OT, Reilly DF, Rettig R, Rheinberger M, Rice KM, Ridker PM, Rivadeneira F, Rizzi F, Roberts DJ, Robino A, Rossing P, Rudan I, Rueedi R, Ruggiero D, Ryan KA, Saba Y, Sabanayagam C, Salomaa V, Salvi E, Saum KU, Schmidt H, Schmidt R, Schöttker B, Schulz CA, Schupf N, Shaffer CM, Shi Y, Smith AV, Smith BH, Soranzo N, Spracklen CN, Strauch K, Stringham HM, Stumvoll M, Svensson PO, Szymczak S, Tai ES, Tajuddin SM, Tan NYQ, Taylor KD, Teren A, Tham YC, Thiery J, Thio CHL, Thomsen H, Thorleifsson G, Toniolo D, Tönjes A, Tremblay J, Tzoulaki I, Uitterlinden AG, Vaccargiu S, van Dam RM, van der Harst P, van Duijn CM, Velez Edward DR, Verweij N, Vogelezang S, Völker U, Vollenweider P, Waeber G, Waldenberger M, Wallentin L, Wang YX, Wang C, Waterworth DM, Bin Wei W, White H, Whitfield JB, Wild SH, Wilson JF, Wojczynski MK, Wong C, Wong TY, Xu L, Yang Q, Yasuda M, Yerges-Armstrong LM, Zhang W, Zonderman AB, Rotter JI, Bochud M, Psaty BM, Vitart V, Wilson JG, Dehghan A, Parsa A, Chasman DI, Ho K, Morris AP, Devuyst O, Akilesh S, Pendergrass SA, Sim X, Böger CA, Okada Y, Edwards TL, Snieder H, Stefansson K, Hung AM, Heid IM, Scholz M, Teumer A, Köttgen A, Pattaro C. |
| 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) |
|---|---|---|---|---|---|---|
| PGS002810 (GRS147_eGFR) |
PGP000390 | Wuttke M et al. Nat Genet (2019) |
Estimated glomerular filtration rate | glomerular filtration rate | 147 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002810/ScoringFiles/PGS002810.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 |
|---|---|---|---|---|---|---|---|---|---|
| PPM015582 | PGS002810 (GRS147_eGFR) |
PSS009991| European Ancestry| 452,264 individuals |
PGP000390 | Wuttke M et al. Nat Genet (2019) |
Reported Trait: Chronic renal failure | — | — | Odds ratio (OR, 10% lower vs higher): 2.13 [1.9, 2.39] | — | — |
| PPM015583 | PGS002810 (GRS147_eGFR) |
PSS009991| European Ancestry| 452,264 individuals |
PGP000390 | Wuttke M et al. Nat Genet (2019) |
Reported Trait: Urolithiasis | — | — | Odds ratio (OR, 10% lower vs higher): 0.75 [0.69, 0.83] | — | — |
| PPM015584 | PGS002810 (GRS147_eGFR) |
PSS009991| European Ancestry| 452,264 individuals |
PGP000390 | Wuttke M et al. Nat Genet (2019) |
Reported Trait: Hypertensive diseases | — | — | Odds ratio (OR, 10% lower vs higher): 1.07 [1.04, 1.1] | — | — |
| PPM015585 | PGS002810 (GRS147_eGFR) |
PSS009991| European Ancestry| 452,264 individuals |
PGP000390 | Wuttke M et al. Nat Genet (2019) |
Reported Trait: Ischemic heart disease | — | — | Odds ratio (OR, 10% lower vs higher): 0.96 [0.92, 1.0] | — | — |
| PPM015580 | PGS002810 (GRS147_eGFR) |
PSS009991| European Ancestry| 452,264 individuals |
PGP000390 | Wuttke M et al. Nat Genet (2019) |
Reported Trait: Acute renal failure | — | — | Odds ratio (OR, 10% lower vs higher): 1.3 [1.16, 1.47] | — | — |
| PPM015581 | PGS002810 (GRS147_eGFR) |
PSS009991| European Ancestry| 452,264 individuals |
PGP000390 | Wuttke M et al. Nat Genet (2019) |
Reported Trait: Glomerular disease | — | — | Odds ratio (OR, 10% lower vs higher): 1.45 [1.22, 1.71] | — | — |
|
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 |
|---|---|---|---|---|---|---|---|---|
| PSS009991 | glomerular diseases (ICD-10 codes N00-N08; 2,289 cases); acute renal failure (N17; 4,913 cases); chronic renal failure (N18; 4,905 cases); urolithiasis (N20-N23; 7,053 cases); hypertensive diseases (I10-I15; 84,910 cases); and ischemic heart diseases (I20-I25; 33,387 cases). Asthma (J45; 28,628 cases) was included as a negative control. | — | 452,264 individuals | — | European | — | UKB | — |