Genetic associations at 53 loci highlight cell types and biological pathways relevant for kidney function.
Alexander TeumerMathias GorskiAudrey Y ChuMan LiVladan MijatovicMaija GarnaasAdrienne TinRossella SoriceYong LiDaniel TaliunMatthias OldenMeredith FosterQiong YangMing-Huei ChenTune H PersAndrew D JohnsonYi-An KoChristian FuchsbergerBamidele TayoMichael NallsMary F FeitosaAaron IsaacsAbbas DehghanPio d'AdamoAdebowale A AdeyemoAida Karina DieffenbachAlan B ZondermanIlja M NoltePeter J van der MostAlan F WrightAlan R ShuldinerAlanna C MorrisonAlbert HofmanAlbert Vernon SmithAlbert W DreisbachAndre FrankeAndre G UitterlindenAndres MetspaluAnke TonjesAntonio LupoAntonietta RobinoÅsa JohanssonAyse DemirkanBarbara KolleritsBarry I FreedmanBelen PonteBen A OostraBernhard PaulweberBernhard K KrämerBraxton D MitchellBrendan M BuckleyCarmen A PeraltaCaroline HaywardCatherine HelmerCharles N RotimiChristian M ShafferChristian MüllerCinzia SalaCornelia M van DuijnAude Saint-PierreDaniel AckermannDaniel ShrinerDaniela RuggieroDaniela TonioloYingchang LuDaniele CusiDarina CzamaraDavid EllinghausDavid S SiscovickDouglas RuderferChristian GiegerHarald GrallertElena RochtchinaElizabeth J AtkinsonElizabeth G HollidayEric BoerwinkleErika SalviErwin P BottingerFederico MurgiaFernando RivadeneiraFlorian ErnstFlorian KronenbergFrank B HuGerjan J NavisGary C CurhanGeorge B EhretGeorg HomuthStefan CoassinGian-Andri ThunGiorgio PistisGiovanni GambaroGiovanni MalerbaGrant W MontgomeryGudny EiriksdottirGunnar JacobsGuo LiH-Erich WichmannHarry CampbellHelena SchmidtHenri WallaschofskiHenry VölzkeHermann BrennerHeyo K KroemerHolly KramerHonghuang LinI Mateo LeachIan FordIdris GuessousIgor RudanInga ProkopenkoIngrid BoreckiIris M HeidIvana KolcicIvana PersicoJ Wouter JukemaJames F WilsonJanine F FelixJasmin DiversJean-Charles LambertJeanette M StaffordJean-Michel GaspozJennifer A SmithJessica D FaulJie Jin WangJingzhong DingJoel N HirschhornJohn AttiaJohn B WhitfieldJohn ChalmersJorma ViikariJosef CoreshJoshua C DennyJuha KarjalainenJyotika K FernandesKarlhans EndlichKatja ButterbachKeith L KeeneKurt LohmanLaura PortasLenore J LaunerLeo-Pekka LyytikäinenLoic YengoLude H FrankeLuigi FerrucciLynda M RoseLyudmyla KedenkoMadhumathi RaoMaksim StruchalinMarcus E KleberMargherita CavalieriMargot HaunMarilyn C CornelisMarina CiulloMario PirastuMariza de AndradeMark A McEvoyMark WoodwardMartin AdamMassimiliano CoccaMatthias NauckMedea ImbodenMelanie WaldenbergerMenno PruijmMarie MetzgerMichael StumvollMichele K EvansMichele M SaleMika KähönenMladen BobanMurielle BochudMyriam RheinbergerNiek VerweijNabila Bouatia-NajiNicholas G MartinNick HastieNicole Probst-HenschNicole SoranzoOlivier DevuystOlli RaitakariOmri GottesmanOscar H FrancoOzren PolasekPaolo GaspariniPatricia B MunroePaul M RidkerPaul MitchellPaul MuntnerChrista MeisingerJohannes H Smitnull nullnull nullnull nullnull nullnull nullPeter KovacsPhilipp S WildPhilippe FroguelRainer RettigReedik MägiReiner BiffarReinhold SchmidtRita P S MiddelbergRobert J CarrollBrenda W PenninxRodney J ScottRonit KatzSanaz SedaghatSarah H WildSharon L R KardiaSheila UliviShih-Jen HwangStefan EnrothStefan KloiberStella TrompetBenedicte StengelStephen J HancockStephen T TurnerSylvia E RosasSylvia StrackeTamara B HarrisTanja ZellerTatijana ZemunikTerho LehtimäkiThomas IlligThor AspelundTiit NikopensiusTonu EskoToshiko TanakaUlf GyllenstenUwe VölkerValur EmilssonVeronique VitartVille AaltoVilmundur GudnasonVincent ChourakiWei-Min ChenWilmar IglWinfried MärzWolfgang KoenigWolfgang LiebRuth J F LoosYongmei LiuHarold SniederPeter P PramstallerAfshin ParsaJeffrey R O'ConnellKatalin SusztakPavel HametJohanne TremblayIan H de BoerCarsten A BögerWolfram GoesslingDaniel I ChasmanAnna KöttgenW H Linda KaoCaroline S FoxPublished in: Nature communications (2016)
Reduced glomerular filtration rate defines chronic kidney disease and is associated with cardiovascular and all-cause mortality. We conducted a meta-analysis of genome-wide association studies for estimated glomerular filtration rate (eGFR), combining data across 133,413 individuals with replication in up to 42,166 individuals. We identify 24 new and confirm 29 previously identified loci. Of these 53 loci, 19 associate with eGFR among individuals with diabetes. Using bioinformatics, we show that identified genes at eGFR loci are enriched for expression in kidney tissues and in pathways relevant for kidney development and transmembrane transporter activity, kidney structure, and regulation of glucose metabolism. Chromatin state mapping and DNase I hypersensitivity analyses across adult tissues demonstrate preferential mapping of associated variants to regulatory regions in kidney but not extra-renal tissues. These findings suggest that genetic determinants of eGFR are mediated largely through direct effects within the kidney and highlight important cell types and biological pathways.
Keyphrases
- genome wide
- genome wide association
- small cell lung cancer
- epidermal growth factor receptor
- tyrosine kinase
- gene expression
- copy number
- dna methylation
- chronic kidney disease
- genome wide association study
- high resolution
- transcription factor
- single cell
- cardiovascular disease
- cell therapy
- type diabetes
- poor prognosis
- mass spectrometry
- high density
- drug induced
- machine learning
- data analysis
- adipose tissue