SynthesisInternational journal of cancer2022
Developing and validating polygenic risk scores for colorectal cancer risk prediction in East Asians.
Open access · greenAbstract readMeta-Analysis
In one paragraph
Synthesis in International journal of cancer, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.9field-weighted citation impact, top 14% of its field
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
6 citing papers in PubMed, 12 citations in OpenAlex.
- Sitz bath with different concentrations of diluted povidone-iodine for prevention of perianal infection in patients with hematological malignancies undergoing chemotherapy: a randomized controlled trial in a tertiary hospital in China.Frontiers in public health · 2026Trial
- Optimizing colorectal cancer screening through polygenic risk score-based risk stratification: evidence from a population-based cohort and screening trial.Genome medicine · 2026Article
- Insights into ancestral diversity in Parkinson's disease risk: a comparative assessment of polygenic risk scores.NPJ Parkinson's disease · 2025Article
- Combining Asian and European genome-wide association studies of colorectal cancer improves risk prediction across racial and ethnic populations.Nature communications · 2023Article
- Clinical Multigene Panel Testing Identifies Racial and Ethnic Differences in Germline Pathogenic Variants Among Patients With Early-Onset Colorectal Cancer.Journal of clinical oncology : official journal of the American Society of Clinical Oncology · 2023Article
- High polygenic risk score is a risk factor associated with colorectal cancer based on data from the UK Biobank.PloS one · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
26 authors at 11 institutions in 4 countries.
Jie PingDivision of Epidemiology, Department of Medicine, Vanderbilt-Ingram Cancer Center, Vanderbilt Epidemiology Center, Vanderbilt University School of Medicine, Nashville, Tennessee, USA.
Yaohua YangDivision of Epidemiology, Department of Medicine, Vanderbilt-Ingram Cancer Center, Vanderbilt Epidemiology Center, Vanderbilt University School of Medicine, Nashville, Tennessee, USA.
Wanqing WenDivision of Epidemiology, Department of Medicine, Vanderbilt-Ingram Cancer Center, Vanderbilt Epidemiology Center, Vanderbilt University School of Medicine, Nashville, Tennessee, USA.
Sun-Seog KweonDepartment of Preventive Medicine, Chonnam National University Medical School, Gwangju, South Korea.
Koichi MatsudaLaboratory of Clinical Genome Sequencing, Department of Computational Biology and Medical Sciences, Graduate School of Frontier Sciences, University of Tokyo, Tokyo, Japan.
Wei-Hua JiaState Key Laboratory of Oncology in South China, Cancer Center, Sun Yat-sen University, Guangzhou, China.ORCID 0000-0002-0528-8715
Aesun ShinDepartment of Preventive Medicine, Seoul National University College of Medicine, Seoul, South Korea.ORCID 0000-0002-6426-1969
Yu-Tang GaoState Key Laboratory of Oncogenes and Related Genes and Department of Epidemiology, Shanghai Cancer Institute, Renji Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China.
Keitaro MatsuoDivision of Molecular and Clinical Epidemiology, Aichi Cancer Center Research Institute, Nagoya, Japan.ORCID 0000-0003-1761-6314
Jeongseon KimDepartment of Cancer Biomedical Science, Graduate School of Cancer Science and Policy, National Cancer Center, Gyeonggi-do, South Korea.ORCID 0000-0002-0889-2686
Dong-Hyun KimDepartment of Social and Preventive Medicine, Hallym University College of Medicine, Okcheon-dong, South Korea.
Sun Ha JeeDepartment of Epidemiology and Health Promotion, Graduate School of Public Health, Yonsei University, Seoul, South Korea.
Qiuyin CaiDivision of Epidemiology, Department of Medicine, Vanderbilt-Ingram Cancer Center, Vanderbilt Epidemiology Center, Vanderbilt University School of Medicine, Nashville, Tennessee, USA.
Zhishan ChenDivision of Epidemiology, Department of Medicine, Vanderbilt-Ingram Cancer Center, Vanderbilt Epidemiology Center, Vanderbilt University School of Medicine, Nashville, Tennessee, USA.
Ran TaoDepartment of Biostatistics, Vanderbilt University, Nashville, Tennessee, USA.
Min-Ho ShinDepartment of Preventive Medicine, Chonnam National University Medical School, Gwangju, South Korea.
Chizu TanikawaLaboratory of Genome Technology, Human Genome Center, Institute of Medical Science, University of Tokyo, Tokyo, Japan.
Zhi-Zhong PanState Key Laboratory of Oncology in South China, Cancer Center, Sun Yat-sen University, Guangzhou, China.
Jae Hwan OhCenter for Colorectal Cancer, National Cancer Center Hospital, National Cancer Center, Gyeonggi-do, South Korea.
Isao OzeDivision of Cancer Epidemiology and Prevention, Aichi Cancer Center Research Institute, Nagoya, Japan.ORCID 0000-0002-0762-1147
Yoon-Ok AhnDepartment of Preventive Medicine, Seoul National University College of Medicine, Seoul, South Korea.
Keum Ji JungDepartment of Epidemiology and Health Promotion, Graduate School of Public Health, Yonsei University, Seoul, South Korea.
Zefang RenSchool of Public Health, Sun Yat-sen University, Guangzhou, China.ORCID 0000-0002-7785-4704
Xiao-Ou ShuDivision of Epidemiology, Department of Medicine, Vanderbilt-Ingram Cancer Center, Vanderbilt Epidemiology Center, Vanderbilt University School of Medicine, Nashville, Tennessee, USA.ORCID 0000-0002-0711-8314
Jirong LongDivision of Epidemiology, Department of Medicine, Vanderbilt-Ingram Cancer Center, Vanderbilt Epidemiology Center, Vanderbilt University School of Medicine, Nashville, Tennessee, USA.
Wei ZhengDivision of Epidemiology, Department of Medicine, Vanderbilt-Ingram Cancer Center, Vanderbilt Epidemiology Center, Vanderbilt University School of Medicine, Nashville, Tennessee, USA.ORCID 0000-0003-1226-070X
Vanderbilt University · USSun Yat-sen University · CNAichi Cancer Center · JPChonnam National University · KRNational Cancer Center · USSeoul National University · KRYonsei University · KRHallym University · KRHuman Genome Sciences (United States) · USRenji Hospital · CNThe University of Tokyo · JP
Funding
Tumor Immunology and Microenvironment Research ProgramP30CA068485 · NCI · VANDERBILT UNIVERSITY MEDICAL CENTER · PI STACIE B DUSETZINA · 1995 to 2026
$172.8MTranslational Analysis CoreP30DK058404 · NIDDK · VANDERBILT UNIVERSITY MEDICAL CENTER · PI RICHARD M. PEEK · 2002 to 2026
$29.9MCohort Study of Cancer inhibitory Factors in MenR01CA082729 · NCI · VANDERBILT UNIVERSITY · PI SHU, XIAO-OU · 2001 to 2011
$6.3MShanghai Womens Health StudyUM1CA182910 · NCI · VANDERBILT UNIVERSITY MEDICAL CENTER · PI ZHENG, WEI · 2014 to 2018
$5.9MShanghai Men's Health StudyUM1CA173640 · NCI · VANDERBILT UNIVERSITY MEDICAL CENTER · PI SHU, XIAO-OU · 2013 to 2017
$4.9MShanghai Breast Cancer StudyR01CA064277 · NCI · VANDERBILT UNIVERSITY · PI SHU, XIAO-OU · 1996 to 2012
$4.8MCancer Risk Reduction and Diet: A Cohort Study of WomenR37CA070867 · NCI · VANDERBILT UNIVERSITY MEDICAL CENTER · PI ZHENG, WEI · 2009 to 2013
$4.7MGenome Sequencing to identify novel genetic factors for breast cancer riskR01CA158473 · NCI · VANDERBILT UNIVERSITY MEDICAL CENTER · PI ZHENG, WEI · 2012 to 2016
$4.3MConsortium Study to Identify Breast Cancer Susceptibility LociR01CA148667 · NCI · VANDERBILT UNIVERSITY MEDICAL CENTER · PI LONG, JIRONG, ZHENG, WEI · 2011 to 2015
$3.3MColorectal cancer risk loci: GWAS, fine-mapping, and functional analysisR01CA188214 · NCI · VANDERBILT UNIVERSITY MEDICAL CENTER · PI LONG, JIRONG, ZHENG, WEI · 2014 to 2018
$3.1MGenetic Factors for Breast Cancer- A genome Wide StudyR01CA124558 · NCI · VANDERBILT UNIVERSITY · PI ZHENG, WEI · 2008 to 2012
$3.1MSoyfood, Gene Polymorphisms and Endometrial Cancer RiskR01CA092585 · NCI · VANDERBILT UNIVERSITY · PI SHU, XIAO-OU · 2001 to 2010
$2.3MNCI NIH HHS P30 CA068485NCI NIH HHS R01 CA064277NCI NIH HHS R01 CA082729NCI NIH HHS R01 CA092585NCI NIH HHS R01 CA124558NCI NIH HHS R01 CA148667NCI NIH HHS R01 CA158473NCI NIH HHS R01 CA188214NCI NIH HHS R37 CA070867NCI NIH HHS UM1 CA173640NCI NIH HHS UM1 CA182910NIDDK NIH HHS P30 DK058404
Abstract
Several polygenic risk scores (PRSs) have been developed to predict the risk of colorectal cancer (CRC) in European descendants. We used genome-wide association study (GWAS) data from 22 702 cases and 212 486 controls of Asian ancestry to develop PRSs and validated them in two case-control studies (1454 Korean and 1736 Chinese). Eleven PRSs were derived using three approaches: GWAS-identified CRC risk SNPs, CRC risk variants identified through fine-mapping of known risk loci and genome-wide risk prediction algorithms. Logistic regression was used to estimate odds ratios (ORs) and area under the curve (AUC). PRS
Indexed as
Colorectal NeoplasmsGenome-Wide Association StudyAged, 80 and overAsian PeopleGenetic Predisposition to DiseaseHumansPolymorphism, Single NucleotideRisk Factorscolorectal cancerEast Asiangenetic risk score
Identifiers
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.