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Discovery of common and rare genetic risk variants for colorectal cancer.

Jeroen R HuygheStephanie A BienTabitha A HarrisonHyun Min KangSai ChenStephanie L SchmitDavid V ContiConghui QuJihyoun JeonChristopher K EdlundPeyton GreensideMichael WainbergFredrick R SchumacherJoshua D SmithDavid M LevineSarah C NelsonNicholas A Sinnott-ArmstrongDemetrius AlbanesMaria Henar AlonsoKristin AndersonCoral Arnau-CollellVolker ArndtChristina BamiaBarbara L BanburyJohn A BaronSonja I BerndtStephane BezieauD Timothy Timothy BishopJuergen BoehmHeiner BoeingHermann BrennerStefanie BrezinaStephan BuchDaniel D BuchananAndrea Burnett-HartmanKatja ButterbachBette J CaanPeter T CampbellChristopher S CarlsonSergi Castellví-BelAndrew T ChanJenny Chang-ClaudeStephen J ChanockMaria-Dolores ChirlaqueSang Hee ChoCharles M ConnollyAmanda J CrossKatarina CukKeith R CurtisAlbert de la ChapelleKimberly F DohenyDavid DugganDouglas F EastonSjoerd G EliasFaye ElliottDallas R EnglishEdith J M FeskensJane C FigueiredoRocky FischerLiesel M FitzGeraldDavid FormanManish GalaSteven GallingerW James GaudermanGraham G GilesElizabeth GillandersJian GongPhyllis J GoodmanWilliam M GradyJohn S GroveAndrea GsurMarc J GunterRobert W HaileJochen HampeHeather HampelSophia HarlidRichard B HayesPhilipp HoferMichael HoffmeisterJohn L HopperWan-Ling HsuWen-Yi HuangThomas J HudsonDavid J HunterGemma Ibañez-SanzGregory E IdosRoxann IngersollRebecca D JacksonEric J JacobsMark E JenkinsAmit D JoshiCorinne E JoshuTemitope O KekuTimothy J KeyHyeong Rok KimEmiko KobayashiLaurence N KolonelCharles KooperbergTilman KühnSébastien KürySun-Seog KweonSusanna C LarssonCecelia A LaurieLoic Le MarchandSuzanne M LealSoo Chin LeeFlavio LejbkowiczMathieu LemireChristopher I LiLi LiWolfgang LiebYi LinAnnika LindblomNoralane M LindorHua LingTin L LouieSatu MännistöSanford D MarkowitzVicente Martín SánchezGiovanna MasalaCaroline E McNeilMarilena MelasJonathan BeesleyLorena MorenoNeil MurphyRobin MyteAlessio NaccaratiPolly A NewcombKenneth OffitShuji OginoN Charlotte Onland-MoretBarbara PardiniPatrick S ParfreyRachel PearlmanVittorio PerducaPaul David Peter PharoahMila PinchevElizabeth A PlatzRoss L PrenticeElizabeth PughLeon RaskinGadi RennertHedy S RennertElio RiboliMiguel Rodríguez-BarrancoJane RommLori C SakodaClemens SchafmayerRobert E SchoenDaniela SeminaraMitul ShahTameka ShelfordMin-Ho ShinKaterina ShulmanSabina SieriMartha L SlatteryMelissa C SoutheyZsofia K StadlerChrista StegmaierYu-Ru SuCatherine M TangenStephen N ThibodeauDuncan C ThomasSushma S ThomasAmanda Ewart TolandAntonia TrichopoulouCornelia M UlrichDavid J Van Den BergFranzel J B van DuijnhovenBethany Van GuelpenHenk van KranenJoseph VijaiKala VisvanathanPavel VodickaLudmila VodickovaVeronika VymetalkovaKorbinian WeiglStephanie J WeinsteinEmily WhiteAung-Ko WinC Roland WolfAlicja WolkMichael O WoodsAnna H WuSyed H ZaidiBrent W ZankeQing ZhangQuan LongPeter C ScacheriJohn D PotterMichael C BassikAnshul KundajeGraham CaseyVictor MorenoGoncalo R AbecasisDeborah A NickersonStephen B GruberLi HsuUlrike Peters
Published in: Nature genetics (2018)
To further dissect the genetic architecture of colorectal cancer (CRC), we performed whole-genome sequencing of 1,439 cases and 720 controls, imputed discovered sequence variants and Haplotype Reference Consortium panel variants into genome-wide association study data, and tested for association in 34,869 cases and 29,051 controls. Findings were followed up in an additional 23,262 cases and 38,296 controls. We discovered a strongly protective 0.3% frequency variant signal at CHD1. In a combined meta-analysis of 125,478 individuals, we identified 40 new independent signals at P < 5 × 10-8, bringing the number of known independent signals for CRC to ~100. New signals implicate lower-frequency variants, Krüppel-like factors, Hedgehog signaling, Hippo-YAP signaling, long noncoding RNAs and somatic drivers, and support a role for immune function. Heritability analyses suggest that CRC risk is highly polygenic, and larger, more comprehensive studies enabling rare variant analysis will improve understanding of biology underlying this risk and influence personalized screening strategies and drug development.
Keyphrases
  • copy number
  • genome wide
  • genome wide association study
  • small molecule
  • gene expression
  • electronic health record
  • big data
  • machine learning
  • deep learning
  • artificial intelligence