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Sökning: WFRF:(Ho Jennifer E.) > (2020-2024) > Large-scale Integra...

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FältnamnIndikatorerMetadata
00011682naa a2200853 4500
001oai:DiVA.org:umu-196522
003SwePub
008220615s2022 | |||||||||||000 ||eng|
009oai:prod.swepub.kib.ki.se:149858128
0247 a https://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-1965222 URI
0247 a https://doi.org/10.1158/1055-9965.EPI-21-10082 DOI
0247 a http://kipublications.ki.se/Default.aspx?queryparsed=id:1498581282 URI
040 a (SwePub)umud (SwePub)ki
041 a engb eng
042 9 SwePub
072 7a ref2 swepub-contenttype
072 7a art2 swepub-publicationtype
1001 a Shu, Xiangu Department of Epidemiology & Biostatistics, Memorial Sloan Kettering Cancer Center, NY, New York, United States; Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt University School of Medicine, TN, Nashville, United States4 aut
2451 0a Large-scale Integrated Analysis of Genetics and Metabolomic Data Reveals Potential Links Between Lipids and Colorectal Cancer Risk
264 1b American Association for Cancer Research,c 2022
338 a print2 rdacarrier
520 a Background: The etiology of colorectal cancer is not fully understood.Methods: Using genetic variants and metabolomics data including 217 metabolites from the Framingham Heart Study (n = 1,357), we built genetic prediction models for circulating metabolites. Models with prediction R2 > 0.01 (Nmetabolite = 58) were applied to predict levels of metabolites in two large consortia with a combined sample size of approximately 46,300 cases and 59,200 controls of European and approximately 21,700 cases and 47,400 controls of East Asian (EA) descent. Genetically predicted levels of metabolites were evaluated for their associations with colorectal cancer risk in logistic regressions within each racial group, after which the results were combined by meta-analysis.Results: Of the 58 metabolites tested, 24 metabolites were significantly associated with colorectal cancer risk [Benjamini-Hochberg FDR (BH-FDR) < 0.05] in the European population (ORs ranged from 0.91 to 1.06; P values ranged from 0.02 to 6.4 × 10-8). Twenty one of the 24 associations were replicated in the EA population (ORs ranged from 0.26 to 1.69, BH-FDR < 0.05). In addition, the genetically predicted levels of C16:0 cholesteryl ester was significantly associated with colorectal cancer risk in the EA population only (OREA: 1.94, 95% CI, 1.60−2.36, P = 2.6 × 10-11; OREUR: 1.01, 95% CI, 0.99−1.04, P = 0.3). Nineteen of the 25 metabolites were glycerophospholipids and triacylglycerols (TAG). Eighteen associations exhibited significant heterogeneity between the two racial groups (PEUR-EA-Het < 0.005), which were more strongly associated in the EA population. This integrative study suggested a potential role of lipids, especially certain glycerophospholipids and TAGs, in the etiology of colorectal cancer.Conclusions: This study identified potential novel risk biomarkers for colorectal cancer by integrating genetics and circulating metabolomics data.Impact: The identified metabolites could be developed into new tools for risk assessment of colorectal cancer in both European and EA populations.
650 7a MEDICIN OCH HÄLSOVETENSKAPx Klinisk medicinx Cancer och onkologi0 (SwePub)302032 hsv//swe
650 7a MEDICAL AND HEALTH SCIENCESx Clinical Medicinex Cancer and Oncology0 (SwePub)302032 hsv//eng
7001 a Chen, Zhishanu Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt University School of Medicine, TN, Nashville, United States4 aut
7001 a Long, Jirongu Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt University School of Medicine, TN, Nashville, United States4 aut
7001 a Guo, Xingyiu Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt University School of Medicine, TN, Nashville, United States4 aut
7001 a Yang, Yaohuau Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt University School of Medicine, TN, Nashville, United States4 aut
7001 a Qu, Conghuiu Public Health Sciences Division, Fred Hutchinson Cancer Research Center, WA, Seattle, United States4 aut
7001 a Ahn, Yoon-Oku Department of Preventive Medicine, Seoul National University College of Medicine, Seoul, South Korea4 aut
7001 a Cai, Qiuyinu Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt University School of Medicine, TN, Nashville, United States4 aut
7001 a Casey, Grahamu Center for Public Health Genomics, University of Virginia, VA, Charlottesville, United States4 aut
7001 a Gruber, Stephen B.u Department of Preventive Medicine, USC Norris Comprehensive Cancer Center, Keck School of Medicine, University of Southern California, CA, Los Angeles, United States4 aut
7001 a Huyghe, Jeroen R.u Public Health Sciences Division, Fred Hutchinson Cancer Research Center, WA, Seattle, United States4 aut
7001 a Jee, Sun Hau Department of Epidemiology and Health Promotion, Graduate School of Public Health, Yonsei University, Seoul, South Korea4 aut
7001 a Jenkins, Mark A.u Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, VIC, Melbourne, Australia4 aut
7001 a Jia, Wei-Huau State Key Laboratory of Oncology in South China, Cancer Center, Sun Yat-sen University, Guangzhou, China4 aut
7001 a Jung, Keum Jiu Department of Epidemiology and Health Promotion, Graduate School of Public Health, Yonsei University, Seoul, South Korea4 aut
7001 a Kamatani, Yoichirou Laboratory for Statistical Analysis, RIKEN Center for Integrative Medical Sciences, Kanagawa, Japan; Laboratory of Complex Trait Genomics, Department of Computational Biology and Medical Sciences, Graduate School of Frontier Sciences, The University of Tokyo, Tokyo, Japan4 aut
7001 a Kim, Dong-Hyunu Department of Social and Preventive Medicine, Hallym University College of Medicine, Chucheon, South Korea4 aut
7001 a Kim, Jeongseonu Department of Cancer Biomedical Science, Graduate School of Cancer Science and Policy, National Cancer Center, Gyeonggi-do, South Korea4 aut
7001 a Kweon, Sun-Seogu Department of Preventive Medicine, Chonnam National University Medical School, Gwangju, South Korea4 aut
7001 a Le Marchand, Loicu University of Hawaii Cancer Center, HI, Honolulu, United States4 aut
7001 a Matsuda, Koichiu Laboratory of Clinical Genome Sequencing, Department of Computational Biology and Medical Sciences, Graduate School of Frontier Sciences, University of Tokyo, Tokyo, Japan4 aut
7001 a Matsuo, Keitarou Department of Cancer Epidemiology, Nagoya University Graduate School of Medicine, Nagoya, Japan4 aut
7001 a Newcomb, Polly A.u Public Health Sciences Division, Fred Hutchinson Cancer Research Center, WA, Seattle, United States; School of Public Health, University of Washington, WA, Seattle, United States4 aut
7001 a Oh, Jae Hwanu Center for Colorectal Cancer, National Cancer Center Hospital, National Cancer Center, Gyeonggi-do, South Korea4 aut
7001 a Ose, Jenniferu Huntsman Cancer Institute, Department of Population Health Sciences, University of Utah, UT, Salt Lake City, United States4 aut
7001 a Oze, Isaou Division of Cancer Epidemiology and Prevention, Aichi Cancer Center Research Institute, Nagoya, Japan4 aut
7001 a Pai, Rish K.u Department of Laboratory Medicine and Pathology, Mayo Clinic Arizona, AZ, Scottsdale, United States4 aut
7001 a Pan, Zhi-Zhongu State Key Laboratory of Oncology in South China, Cancer Center, Sun Yat-sen University, Guangzhou, China4 aut
7001 a Pharoah, Paul D.P.u Department of Public Health and Primary Care, University of Cambridge, Cambridge, United Kingdom4 aut
7001 a Playdon, Mary C.u Cancer Control and Population Sciences, Huntsman Cancer Institute, Department of Nutrition and Integrative Physiology, University of Utah, UT, Salt Lake City, United States; Department of Nutrition and Integrative Physiology, College of Health, University of Utah, UT, Salt Lake City, United States4 aut
7001 a Ren, Ze-Fangu School of Public Health, Sun Yat-sen University, Guangzhou, China4 aut
7001 a Schoen, Robert E.u Department of Medicine and Epidemiology, University of Pittsburgh Medical Center, PA, Pittsburgh, United States4 aut
7001 a Shin, Aesunu Department of Preventive Medicine, Seoul National University College of Medicine, Seoul, South Korea; Cancer Research Institute, Seoul National University, Seoul, South Korea4 aut
7001 a Shin, Min-Hou Department of Preventive Medicine, Chonnam National University Medical School, Gwangju, South Korea4 aut
7001 a Shu, Xiao-Ouu Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt University School of Medicine, TN, Nashville, United States4 aut
7001 a Sun, Xiaohuiu Department of Epidemiology & Biostatistics, Memorial Sloan Kettering Cancer Center, NY, New York, United States; Department of Epidemiology, Zhejiang Chinese Medical University, Zhejiang, China4 aut
7001 a Tangen, Catherine M.u SWOG Statistical Center, Fred Hutchinson Cancer Research Center, WA, Seattle, United States4 aut
7001 a Tanikawa, Chizuu Laboratory of Genome Technology, Human Genome Center, Institute of Medical Science, University of Tokyo, Tokyo, Japan4 aut
7001 a Ulrich, Cornelia M.u Division of Cancer Epidemiology and Prevention, Aichi Cancer Center Research Institute, Nagoya, Japan4 aut
7001 a van Duijnhoven, Franzel J.B.u Division of Human Nutrition, Wageningen University and Research, Wageningen, Netherlands4 aut
7001 a van Guelpen, Bethanyu Umeå universitet,Wallenberg centrum för molekylär medicin vid Umeå universitet (WCMM),Onkologi4 aut0 (Swepub:umu)beyvan99
7001 a Wolk, Alicjau Karolinska Institutet4 aut
7001 a Woods, Michael O.u Memorial University of Newfoundland, Discipline of Genetics, St. John's, Canada4 aut
7001 a Wu, Anna H.u University of Southern California, Preventative Medicine, CA, Los Angeles, United States4 aut
7001 a Peters, Ulrikeu Public Health Sciences Division, Fred Hutchinson Cancer Research Center, WA, Seattle, United States; Department of Epidemiology, University of Washington, WA, Seattle, United States4 aut
7001 a Zheng, Weiu Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt University School of Medicine, TN, Nashville, United States4 aut
7102 a Department of Epidemiology & Biostatistics, Memorial Sloan Kettering Cancer Center, NY, New York, United States; Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt University School of Medicine, TN, Nashville, United Statesb Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt University School of Medicine, TN, Nashville, United States4 org
7730 t Cancer Epidemiology, Biomarkers and Preventiond : American Association for Cancer Researchg 31:6, s. 1216-1226q 31:6<1216-1226x 1055-9965x 1538-7755
8564 8u https://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-196522
8564 8u https://doi.org/10.1158/1055-9965.EPI-21-1008
8564 8u http://kipublications.ki.se/Default.aspx?queryparsed=id:149858128

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