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Meta-Analysis
. 2020 Mar 20;367(6484):eaay6690.
doi: 10.1126/science.aay6690.

The genetic architecture of the human cerebral cortex

Katrina L Grasby #Neda Jahanshad #Jodie N Painter #Lucía Colodro-Conde #Janita Bralten #Derrek P Hibar #Penelope A Lind #Fabrizio Pizzagalli #Christopher R K ChingMary Agnes B McMahonNatalia ShatokhinaLeo C P ZsembikSophia I ThomopoulosAlyssa H ZhuLachlan T StrikeIngrid AgartzSaud AlhusainiMarcio A A AlmeidaDag AlnæsInge K AmlienMicael AnderssonTyler ArdNicola J ArmstrongAllison Ashley-KochJoshua R AtkinsManon BernardRachel M BrouwerElizabeth E L BuimerRobin BülowChristian BürgerDara M CannonMallar ChakravartyQiang ChenJoshua W CheungBaptiste Couvy-DuchesneAnders M DaleShareefa DalvieTânia K de AraujoGreig I de ZubicaraySonja M C de ZwarteAnouk den BraberNhat Trung DoanKatharina DohmStefan EhrlichHannah-Ruth EngelbrechtSusanne ErkChun Chieh FanIryna O FedkoSonya F FoleyJudith M FordMasaki FukunagaMelanie E GarrettTian GeSudheer GiddaluruAaron L GoldmanMelissa J GreenNynke A GroenewoldDominik GrotegerdTiril P GurholtBoris A GutmanNarelle K HansellMathew A HarrisMarc B HarrisonCourtney C HaswellMichael HauserStefan HermsDirk J HeslenfeldNew Fei HoDavid HoehnPer HoffmannLaurena HolleranMartine HoogmanJouke-Jan HottengaMasashi IkedaDeborah JanowitzIris E JansenTianye JiaChristiane JockwitzRyota KanaiSherif KaramaDalia KasperaviciuteTobias KaufmannSinead KellyMasataka KikuchiMarieke KleinMichael KnappAnnchen R KnodtBernd KrämerMax LamThomas M LancasterPhil H LeeTristram A LettLindsay B LewisIscia Lopes-CendesMichelle LucianoFabio MacciardiAndre F MarquandSamuel R MathiasTracy R MelzerYuri MilaneschiNazanin Mirza-SchreiberJose C V MoreiraThomas W MühleisenBertram Müller-MyhsokPablo NajtSoichiro NakaharaKwangsik NhoLoes M Olde LoohuisDimitri Papadopoulos OrfanosJohn F PearsonToni L PitcherBenno PützYann QuidéAnjanibhargavi RagothamanFaisal M RashidWilliam R ReayRonny RedlichCéline S ReinboldJonathan ReppleGeneviève RichardBrandalyn C RiedelShannon L RisacherCristiane S RochaNina Roth MotaLauren SalminenArvin SaremiAndrew J SaykinFenja SchlagLianne SchmaalPeter R SchofieldRodrigo SecolinChin Yang ShaplandLi ShenJean ShinElena ShumskayaIda E SønderbyEmma SprootenKatherine E TanseyAlexander TeumerAnbupalam ThalamuthuDiana Tordesillas-GutiérrezJessica A TurnerAnne UhlmannCostanza Ludovica VallergaDennis van der MeerMarjolein M J van DonkelaarLiza van EijkTheo G M van ErpNeeltje E M van HarenDaan van RooijMarie-José van TolJan H VeldinkEllen VerhoefEsther WaltonMingyuan WangYunpeng WangJoanna M WardlawWei WenLars T WestlyeChristopher D WhelanStephanie H WittKatharina WittfeldChristiane WolfThomas WolfersJing Qin WuClarissa L YasudaDario ZarembaZuo ZhangMarcel P ZwiersEric ArtigesAmelia A AssarehRosa Ayesa-ArriolaAysenil BelgerChristine L BrandtGregory G BrownSven CichonJoanne E CurranGareth E DaviesFranziska DegenhardtMichelle F DennisBruno DietscheSrdjan DjurovicColin P DohertyRyan EspirituDaniel GarijoYolanda GilPenny A GowlandRobert C GreenAlexander N HäuslerWalter HeindelBeng-Choon HoWolfgang U HoffmannFlorian HolsboerGeorg HomuthNorbert HostenClifford R Jack JrMiHyun JangAndreas JansenNathan A KimbrelKnut KolskårSanne KoopsAxel KrugKelvin O LimJurjen J LuykxDaniel H MathalonKaren A MatherVenkata S MattaySarah MatthewsJaqueline Mayoral Van SonSarah C McEwenIngrid MelleDerek W MorrisBryon A MuellerMatthias NauckJan E NordvikMarkus M NöthenDaniel S O'LearyNils OpelMarie-Laure Paillère MartinotG Bruce PikeAdrian PredaErin B QuinlanPaul E RasserVarun RatnakarSimone ReppermundVidar M SteenPaul A TooneyFábio R TorresDick J VeltmanJames T VoyvodicRobert WhelanTonya WhiteHidenaga YamamoriHieab H H AdamsJoshua C BisStephanie DebetteCharles DecarliMyriam FornageVilmundur GudnasonEdith HoferM Arfan IkramLenore LaunerW T LongstrethOscar L LopezBernard MazoyerThomas H MosleyGennady V RoshchupkinClaudia L SatizabalReinhold SchmidtSudha SeshadriQiong YangAlzheimer’s Disease Neuroimaging InitiativeCHARGE ConsortiumEPIGEN ConsortiumIMAGEN ConsortiumSYS ConsortiumParkinson’s Progression Markers InitiativeMarina K M AlvimDavid AmesTim J AndersonOle A AndreassenAlejandro Arias-VasquezMark E BastinBernhard T BauneJean C BeckhamJohn BlangeroDorret I BoomsmaHenry BrodatyHan G BrunnerRandy L BucknerJan K BuitelaarJuan R BustilloWiepke CahnMurray J CairnsVince CalhounVaughan J CarrXavier CaserasSvenja CaspersGianpiero L CavalleriFernando CendesAiden CorvinBenedicto Crespo-FacorroJohn C Dalrymple-AlfordUdo DannlowskiEco J C de GeusIan J DearyNorman DelantyChantal DepondtSylvane DesrivièresGary DonohoeThomas EspesethGuillén FernándezSimon E FisherHerta FlorAndreas J ForstnerClyde FrancksBarbara FrankeDavid C GlahnRandy L GollubHans J GrabeOliver GruberAsta K HåbergAhmad R HaririCatharina A HartmanRyota HashimotoAndreas HeinzFrans A HenskensManon H J HillegersPieter J HoekstraAvram J HolmesL Elliot HongWilliam D HopkinsHilleke E Hulshoff PolTerry L JerniganErik G JönssonRené S KahnMartin A KennedyTilo T J KircherPeter KochunovJohn B J KwokStephanie Le HellardCarmel M LoughlandNicholas G MartinJean-Luc MartinotColm McDonaldKatie L McMahonAndreas Meyer-LindenbergPatricia T MichieRajendra A MoreyBryan MowryLars NybergJaap OosterlaanRoel A OphoffChristos PantelisTomas PausZdenka PausovaBrenda W J H PenninxTinca J C PoldermanDanielle PosthumaMarcella RietschelJoshua L RoffmanLaura M RowlandPerminder S SachdevPhilipp G SämannUlrich SchallGunter SchumannRodney J ScottKang SimSanjay M SisodiyaJordan W SmollerIris E SommerBeate St PourcainDan J SteinArthur W TogaJulian N TrollorNic J A Van der WeeDennis van 't EntHenry VölzkeHenrik WalterBernd WeberDaniel R WeinbergerMargaret J WrightJuan ZhouJason L Stein #Paul M Thompson #Sarah E Medland #Enhancing NeuroImaging Genetics through Meta-Analysis Consortium (ENIGMA)—Genetics working group
Collaborators
Meta-Analysis

The genetic architecture of the human cerebral cortex

Katrina L Grasby et al. Science. .

Erratum in

Abstract

The cerebral cortex underlies our complex cognitive capabilities, yet little is known about the specific genetic loci that influence human cortical structure. To identify genetic variants that affect cortical structure, we conducted a genome-wide association meta-analysis of brain magnetic resonance imaging data from 51,665 individuals. We analyzed the surface area and average thickness of the whole cortex and 34 regions with known functional specializations. We identified 199 significant loci and found significant enrichment for loci influencing total surface area within regulatory elements that are active during prenatal cortical development, supporting the radial unit hypothesis. Loci that affect regional surface area cluster near genes in Wnt signaling pathways, which influence progenitor expansion and areal identity. Variation in cortical structure is genetically correlated with cognitive function, Parkinson's disease, insomnia, depression, neuroticism, and attention deficit hyperactivity disorder.

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Figures

Fig. 1.
Fig. 1.. Regions of the human cortex and associated genetic loci.
(A) The 34 cortical regions defined by the Desikan-Killiany atlas. (B) Ideogram of loci that influence cortical SA and TH.
Fig. 2.
Fig. 2.. Genetics of global measures.
(A) Genetic correlations between global measures and selected traits (red indicates significant correlation, FDR < 0.05). Error bars indicate SE. (B) Partitioned heritability enrichment in active regulatory elements across tissues and cell types. ESC, embryonic stem cells; iPSC, induced pluripotent stem cells; ES–deriv, embryonic stem derived; HSC, hematopoietic stem cells; Mesench, mesenchymal; Myosat, myosatellite; Neurosph, neurosphere; Sm. Muscle, smooth muscle. (C) Partitioned heritability enrichment in temporally specific active regulatory elements. (D) Partitioned heritability enrichment in regulatory elements of cell type–specific genes in the fetal brain. (E) Manhattan plot of loci associated with total SA (top) and average TH (bottom). Green diamonds indicate lead SNPs in the principal meta-analysis, black diamonds indicate changes in P value after replication, dashed horizontal lines denote genome-wide significance, and solid horizontal lines represent the multiple testing correction threshold.
Fig. 3.
Fig. 3.. Genetic and phenotypic correlations between cortical regions.
(A) Surface area. (B) Thickness. Regions are numbered according to the inset key of Fig. 1A. The proportion of variance accounted for by common genetic variants is shown in the first column (h2SNP). Phenotypic correlations from the UK Biobank are in the upper right triangle. Genetic correlations from the principal meta-analysis are in the lower left triangle. Only significant correlations are shown.
Fig. 4.
Fig. 4.. Genetics of regional measures.
(A) Regional plot for rs1080066, including additional lead SNPs within the LD block and surrounding genes, chromatin interactions in neural progenitor cells, chromatin state in RoadMap brain tissues, and BRAINSPAN candidate gene expression in brain tissue. (B) Ideogram of 15q14, detailing the significant independent loci and cortical regions. (C) rs1080066 (G allele) association with SA of regions. (D) rs1080066 association with central sulcus depth and depth of several primate species. RoadMap chromatin states: TssA, active transcription start site (TSS); TssAFlnk, flanking active TSS; TxFlnk, transcription at gene 5′ and 3′; Tx, strong transcription; TxWk, weak transcription; EnhG, genic enhancers; Enh, enhancers; Het, heterochromatin; TssBiv, bivalent/poised TSS; BivFlnk, flanking bivalent TSS/enhancer; EnhBiv, bivalent enhancer; ReprPC, repressed Polycomb; ReprPCWk, weak repressed Polycomb; Quies, quiescent/low. BRAINSPAN cortical tissue types: DFC, dorsolateral prefrontal cortex; VFC, ventrolateral prefrontal cortex; MFC, anterior cingulate cortex; OFC, orbital frontal cortex; M1C, primary motor cortex; M1C-S1C, primary motor-sensory cortex; PCx, parietal neocortex; S1C, primary somatosensory cortex; IPC, posteroventral parietal cortex; A1C, primary auditory cortex;TCx, temporal neocortex; STC, posterior superior temporal cortex; ITC, inferolateral temporal cortex; Ocx, occipital neocortex; V1C, primary visual cortex.
Fig. 5.
Fig. 5.. Genetic correlations with neuropsychiatric and psychological traits.
(A) Genetic correlations with total SA and average TH. Significant positive correlations are shown in red; significant negative correlations are shown in blue. Error bars indicate SE. (B) Regional variation in the strength of genetic correlations between regional SA (without correction for total SA) and traits showing significant genetic correlations with total SA.

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