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Large-scale Integrated Analysis of Genetics and Metabolomic Data Reveals Potential Links Between Lipids and Colorectal Cancer Risk.

Xiang ShuZhishan ChenJirong LongXingyi GuoYaohua YangConghui QuYoon-Ok AhnQiuyin CaiGraham CaseyStephen B GruberJeroen R HuygheSun Ha JeeMark A JenkinsWei-Hua JiaKeum Ji JungYoichiro KamataniDong-Hyun KimJeong-Seon KimSun Seog KweonLoic Le MarchandKoichi MatsudaKeitaro MatsuoPolly A NewcombJae Hwan OhJennifer OseIsao OzeRish K PaiZhi-Zhong PanPaul David Peter PharoahMary C PlaydonZe-Fang RenRobert E SchoenAesun ShinMin-Ho ShinChristina E BaileyXiaohui SunCatherine M TangenChizu TanikawaCornelia M UlrichFranzel J B van DuijnhovenBethany Van GuelpenAlicja WolkMichael O WoodsAnna H WuUlrike PetersQuan Long
Published in: Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology (2022)
The identified metabolites could be developed into new tools for risk assessment of colorectal cancer in both European and EA populations.
Keyphrases
  • risk assessment
  • human health
  • ms ms
  • electronic health record
  • heavy metals
  • big data