SynthesisCancer science2021
Body mass index and colorectal cancer risk: A Mendelian randomization study.
Open access · goldAbstract readMeta-Analysis
In one paragraph
Synthesis in Cancer science, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers, 6 of them syntheses that pooled it.
0numbers the graph read from it
0cells of the map it votes in
37citing papers in PubMed, 6 pooled it
8.0field-weighted citation impact, top 2% 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
37 citing papers in PubMed, 6 syntheses or guidelines pooled it, 59 citations in OpenAlex.
- Is the oral pathogen, Porphyromona gingivalis, associated to colorectal cancer?: a systematic review.BMC cancer · 2025Pooled it
- Genetic architecture of alcohol consumption identified by a genotype-stratified GWAS and impact on esophageal cancer risk in Japanese people.Science advances · 2024Pooled it
- Body mass index and the risk of basal cell carcinoma: evidence from Mendelian randomization analysis.PeerJ · 2023Pooled it
- Meta-Analysis of the Association between Dietary Inflammatory Index (DII) and Colorectal Cancer.Nutrients · 2022Pooled it
- Causal role of high body mass index in multiple chronic diseases: a systematic review and meta-analysis of Mendelian randomization studies.BMC medicine · 2021Pooled it
- Body mass index and colorectal cancer risk: A Mendelian randomization study.Cancer science · 2021Pooled it
- Immune Cell-Stratified Regulatory Contexts Associated With BMI-Related Multi-System Disease Risk: A Cell-Stratified Mendelian Randomization Study Using Single-Cell eQTL Data.Diabetes, obesity & metabolism · 2026Article
- Global, regional, and national burden of colorectal cancer attributable to modifiable risk factors, 1990-2021: a systematic analysis for the Global Burden of Disease Study 2021.Journal of gastrointestinal oncology · 2026Article
- Article
- Associations Between Obesity, Diabetes Mellitus, and Pancreatic Cancer in the Japanese Population: A Mendelian Randomization Study.Cancer science · 2026Article
- Article
- An analysis of the burden of colorectal cancer caused by high body mass index in 204 countries and regions worldwide from 1990 to 2023.Journal of global health · 2026Article
- Causal impact of elevated body mass index on diabetic kidney disease: an integrated Mendelian randomization and Global Burden of Disease Study 2021 analysis.Renal failure · 2025Article
- Body mass index-defined overweight (but not obese) correlates with better postoperative prognosis in colorectal cancer.Journal of gastrointestinal oncology · 2025Article
- Causal impact of obesity class stratification and endometrial cancer subtypes: an integrated Mendelian randomization and Global Burden of Disease Study 2021 analysis.International journal of surgery (London, England) · 2025Article
- Evolution of the burden of disease for high BMI-associated colorectal cancer, 1990-2021: Global trends, regional heterogeneity, and population risk stratification.Preventive medicine reports · 2025Article
- Helicobacter Pylori Infection is Not Causally Associated with Colorectal Cancer: A Two-Sample Mendelian Randomization Study.Asian Pacific journal of cancer prevention : APJCP · 2025Article
- Linking microRNA to metabolic reprogramming and gut microbiota in the pathogenesis of colorectal cancer (Review).International journal of molecular medicine · 2025Review
- Introduction to Mendelian randomization.Annals of clinical epidemiology · 2025Article
- Body mass index at birth and early life and colorectal cancer: A two-sample Mendelian randomization analysis in European and East Asian genetic similarity populations.Pediatric obesity · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
38 authors at 15 institutions in 1 country.
Shiori SuzukiDivision of Epidemiology, Center for Public Health Sciences, National Cancer Center, Tokyo, Japan.
Atsushi GotoDivision of Epidemiology, Center for Public Health Sciences, National Cancer Center, Tokyo, Japan.ORCID https://orcid.org/0000-0003-0669-654X
Masahiro NakatochiPublic Health Informatics Unit, Department of Integrated Health Sciences, Nagoya University Graduate School of Medicine, Nagoya, Japan.ORCID https://orcid.org/0000-0002-1838-4837
Akira NaritaDepartment of Health Record Informatics, Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan.
Taiki YamajiDivision of Epidemiology, Center for Public Health Sciences, National Cancer Center, Tokyo, Japan.
Norie SawadaDivision of Epidemiology, Center for Public Health Sciences, National Cancer Center, Tokyo, Japan.ORCID https://orcid.org/0000-0002-9936-1476
Ryoko KatagiriDivision of Epidemiology, Center for Public Health Sciences, National Cancer Center, Tokyo, Japan.
Masao IwagamiFaculty of Medicine, Department of Health Services Research, University of Tsukuba, Tsukuba, Japan.
Akiko HanyudaDivision of Epidemiology, Center for Public Health Sciences, National Cancer Center, Tokyo, Japan.
Tsuyoshi HachiyaDivision of Biomedical Information Analysis, Iwate Tohoku Medical Megabank Organization, Iwate Medical University, Iwate, Japan.
Yoichi SutohDivision of Biomedical Information Analysis, Iwate Tohoku Medical Megabank Organization, Iwate Medical University, Iwate, Japan.
Isao OzeDivision of Cancer Epidemiology and Prevention, Aichi Cancer Center Research Institute, Nagoya, Japan.ORCID https://orcid.org/0000-0002-0762-1147
Yuriko N KoyanagiDivision of Cancer Information and Control, Aichi Cancer Center Research Institute, Nagoya, Japan.
Yumiko KasugaiDivision of Cancer Epidemiology and Prevention, Aichi Cancer Center Research Institute, Nagoya, Japan.
Yukari TaniyamaDivision of Cancer Information and Control, Aichi Cancer Center Research Institute, Nagoya, Japan.
Hidemi ItoDivision of Cancer Information and Control, Aichi Cancer Center Research Institute, Nagoya, Japan.
Hiroaki IkezakiDepartment of Comprehensive General Internal Medicine, Kyushu University Faculty of Medical Sciences, Fukuoka, Japan.
Yuichiro NishidaFaculty of Medicine, Department of Preventive Medicine, Saga University, Saga, Japan.
Takashi TamuraDepartment of Preventive Medicine, Nagoya University Graduate School of Medicine, Nagoya, Japan.
Haruo MikamiCancer Prevention Center, Chiba Cancer Center Research Institute, Chiba, Japan.
Toshiro TakezakiDepartment of International Island and Community Medicine, Kagoshima University Graduate School of Medical and Dental Sciences, Kagoshima, Japan.
Sadao SuzukiDepartment of Public Health, Nagoya City University Graduate School of Medical Sciences, Nagoya, Japan.
Etsuko OzakiDepartment of Epidemiology for Community Health and Medicine, Graduate School of Medical Science, Kyoto Prefectural University of Medicine, Kyoto, Japan.
Kiyonori KurikiLaboratory of Public Health, School of Food and Nutritional Sciences, University of Shizuoka, Shizuoka, Japan.
Naoyuki TakashimaFaculty of Medicine, Department of Public Health, Kindai University, Osaka, Japan.
Kokichi ArisawaDepartment of Preventive Medicine, Tokushima University Graduate School of Biomedical Sciences, Tokushima, Japan.
Kenji TakeuchiDepartment of Preventive Medicine, Nagoya University Graduate School of Medicine, Nagoya, Japan.
Kozo TannoDivision of Clinical Research and Epidemiology, Iwate Tohoku Medical Megabank Organization, Iwate Medical University, Iwate, Japan.
Atsushi ShimizuDivision of Biomedical Information Analysis, Iwate Tohoku Medical Megabank Organization, Iwate Medical University, Iwate, Japan.
Gen TamiyaDepartment of Integrative Genomics, Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan.
Atsushi HozawaDepartment of Preventive Medicine and Epidemiology, Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan.
Kengo KinoshitaDepartment of Integrative Genomics, Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan.
Kenji WakaiDepartment of Preventive Medicine, Nagoya University Graduate School of Medicine, Nagoya, Japan.
Makoto SasakiIwate Tohoku Medical Megabank Organization, Iwate Medical University, Iwate, Japan.
Masayuki YamamotoTohoku Medical Megabank Organization, Tohoku University, Sendai, Japan.
Keitaro MatsuoDivision of Cancer Epidemiology and Prevention, Aichi Cancer Center Research Institute, Nagoya, Japan.ORCID https://orcid.org/0000-0003-1761-6314
Shoichiro TsuganeCenter for Public Health Sciences, National Cancer Center, Tokyo, Japan.
Motoki IwasakiDivision of Epidemiology, Center for Public Health Sciences, National Cancer Center, Tokyo, Japan.ORCID https://orcid.org/0000-0003-3319-4131
Aichi Cancer Center · JPIwate Medical University · JPNational Center for Global Health and Medicine · JPTohoku University · JPNagoya University · JPJikei University School of Medicine · JPChiba Cancer Center · JPKagoshima University · JPKyoto Prefectural University of Medicine · JPKyushu University · JPSaga University · JPShiga University of Medical Science · JPTokushima University · JPUniversity of Shizuoka · JPUniversity of Tsukuba · JP
Funding
Grant-in-Aid for the Third Term Comprehensive 10-year Strategy for Cancer Control from the Ministry of Health, Labour and Welfare of JapanGrants-in-Aid for Scientific Research for Innovative Areas from the Japanese Ministry of Education, Culture, Sports, Science and Technology 221S0001Grants-in-Aid for Scientific Research for Priority Areas of Cancer from the Japanese Ministry of Education, Culture, Sports, Science and Technology 17015018Japan Agency for Medical Research and Development 15ck0106095h0002Japan Agency for Medical Research and Development 16ck0106095h0003Japan Agency for Medical Research and Development 17ck0106266h00Japan Agency for Medical Research and Development 20km0105003Japan Agency for Medical Research and Development JP20km0105001JSPS KAKENHI Grant from the Japanese Ministry of Education, Culture, Sports, Science and Technology JP16H06277JSPS KAKENHI Grant from the Japanese Ministry of Education, Culture, Sports, Science and Technology JP18K10095JSPS KAKENHI Grant from the Japanese Ministry of Education, Culture, Sports, Science and Technology JP19H03913JSPS KAKENHI Grant from the Japanese Ministry of Education, Culture, Sports, Science and Technology JP20K10463JSPS KAKENHI Grant from the Japanese Ministry of Education, Culture, Sports, Science and Technology JP26253041National Cancer Center Research and Development Fund 23-A-31National Cancer Center Research and Development Fund 26-A-2National Cancer Center Research and Development Fund 28-A-19National Cancer Center Research and Development Fund 29-A-4National Cancer Center Research and Development Fund 31-A-18Reconstruction Agency, the Japanese Ministry of Education, Culture, Sports, Science and Technology
Abstract
Traditional observational studies have reported a positive association between higher body mass index (BMI) and the risk of colorectal cancer (CRC). However, evidence from other approaches to pursue the causal relationship between BMI and CRC is sparse. A two-sample Mendelian randomization (MR) study was undertaken using 68 single nucleotide polymorphisms (SNPs) from the Japanese genome-wide association study (GWAS) and 654 SNPs from the GWAS catalogue for BMI as sets of instrumental variables. For the analysis of SNP-BMI associations, we undertook a meta-analysis with 36 303 participants in the Japanese Consortium of Genetic Epidemiology studies (J-CGE), comprising normal populations. For the analysis of SNP-CRC associations, we utilized 7636 CRC cases and 37 141 controls from five studies in Japan, and undertook a meta-analysis. Mendelian randomization analysis of inverse-variance weighted method indicated that a one-unit (kg/m
Indexed as
AgedBody Mass IndexCase-Control StudiesColorectal NeoplasmsFemaleGenetic Predisposition to DiseaseGenome-Wide Association StudyHumansJapanMaleMendelian Randomization AnalysisMiddle AgedOdds RatioPolymorphism, Single NucleotideRisk FactorsAsiabody mass indexcolorectal cancerepidemiologyMendelian randomization
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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.