Login / Signup

Genome-wide and transcriptome-wide association studies of mammographic density phenotypes reveal novel loci.

Hongjie ChenShaoqi FanJennifer StoneDeborah J ThompsonJulie DouglasShuai LiChristopher ScottManjeet K BollaQin WangJoe DennisKyriaki MichailidouChristopher LiUlrike PetersJohn L HopperMelissa C SoutheyTu Nguyen-DumontTuong L NguyenPeter A FaschingAnnika BehrensGemma CadbyRachel A MurphyKristan AronsonAnthony HowellSusan AstleyFergus CouchJanet OlsonRoger L MilneGraham G GilesChristopher A HaimanGertraud MaskarinecStacey WinhamEsther M JohnAllison KurianHeather EliassenIrene AndrulisD Gareth EvansWilliam G NewmanPer HallKamila CzeneAnthony SwerdlowMichael JonesMarina PollanPablo Fernandez-NavarroDaniel S McConnellVessela N Kristensennull nullJoseph H RothsteinPei WangLaurel A HabelWeiva SiehAlison M DunningPaul D P PharoahDouglas F EastonGretchen L GierachRulla M TamimiCeline M VachonSara Lindström
Published in: Breast cancer research : BCR (2022)
Our findings provided novel insight into the genetic background of MD phenotypes, and further demonstrated their shared genetic basis with breast cancer.
Keyphrases
  • genome wide
  • dna methylation
  • copy number
  • molecular dynamics
  • gene expression
  • breast cancer risk