Genome-wide association studies and Mendelian randomization analyses provide insights into the causes of early-onset colorectal cancer

. 2024 Jun ; 35 (6) : 523-536. [epub] 20240224

Jazyk angličtina Země Velká Británie, Anglie Médium print-electronic

Typ dokumentu časopisecké články, metaanalýza

Perzistentní odkaz   https://www.medvik.cz/link/pmid38408508

Grantová podpora
U01 CA167551 NCI NIH HHS - United States
29019 Cancer Research UK - United Kingdom
MC_UU_00011/3 Medical Research Council - United Kingdom
001 World Health Organization - International
MC_UU_00011/1 Medical Research Council - United Kingdom
MC_UU_00011/6 Medical Research Council - United Kingdom

Odkazy

PubMed 38408508
PubMed Central PMC11213623
DOI 10.1016/j.annonc.2024.02.008
PII: S0923-7534(24)00058-9
Knihovny.cz E-zdroje

BACKGROUND: The incidence of early-onset colorectal cancer (EOCRC; diagnosed <50 years of age) is rising globally; however, the causes underlying this trend are largely unknown. CRC has strong genetic and environmental determinants, yet common genetic variants and causal modifiable risk factors underlying EOCRC are unknown. We conducted the first EOCRC-specific genome-wide association study (GWAS) and Mendelian randomization (MR) analyses to explore germline genetic and causal modifiable risk factors associated with EOCRC. PATIENTS AND METHODS: We conducted a GWAS meta-analysis of 6176 EOCRC cases and 65 829 controls from the Genetics and Epidemiology of Colorectal Cancer Consortium (GECCO), the Colorectal Transdisciplinary Study (CORECT), the Colon Cancer Family Registry (CCFR), and the UK Biobank. We then used the EOCRC GWAS to investigate 28 modifiable risk factors using two-sample MR. RESULTS: We found two novel risk loci for EOCRC at 1p34.1 and 4p15.33, which were not previously associated with CRC risk. We identified a deleterious coding variant (rs36053993, G396D) at polyposis-associated DNA repair gene MUTYH (odds ratio 1.80, 95% confidence interval 1.47-2.22) but show that most of the common genetic susceptibility was from noncoding signals enriched in epigenetic markers present in gastrointestinal tract cells. We identified new EOCRC-susceptibility genes, and in addition to pathways such as transforming growth factor (TGF) β, suppressor of Mothers Against Decapentaplegic (SMAD), bone morphogenetic protein (BMP) and phosphatidylinositol kinase (PI3K) signaling, our study highlights a role for insulin signaling and immune/infection-related pathways in EOCRC. In our MR analyses, we found novel evidence of probable causal associations for higher levels of body size and metabolic factors-such as body fat percentage, waist circumference, waist-to-hip ratio, basal metabolic rate, and fasting insulin-higher alcohol drinking, and lower education attainment with increased EOCRC risk. CONCLUSIONS: Our novel findings indicate inherited susceptibility to EOCRC and suggest modifiable lifestyle and metabolic targets that could also be used to risk-stratify individuals for personalized screening strategies or other interventions.

Cancer Prevention and Control Program Catalan Institute of Oncology IDIBELL L'Hospitalet de Llobregat Barcelona; CIBER de Epidemiología y Salud Pública Madrid; Department of Clinical Sciences Faculty of Medicine University of Barcelona Barcelona Spain

Center for Cancer Research Medical University of Vienna Vienna Austria

Center for Gastrointestinal Biology and Disease University of North Carolina Chapel Hill USA

Centre for Epidemiology and Biostatistics Melbourne School of Population and Global Health The University of Melbourne Melbourne Australia

Centre for Epidemiology and Biostatistics Melbourne School of Population and Global Health The University of Melbourne Melbourne Australia; Cancer Epidemiology Division Cancer Council Victoria Melbourne; Physical Activity Laboratory Baker Heart and Diabetes Institute Melbourne Australia

Colorectal Oncogenomics Group Department of Clinical Pathology The University of Melbourne Parkville; University of Melbourne Centre for Cancer Research Victorian Comprehensive Cancer Centre Melbourne; Genomic Medicine and Family Cancer Clinic Royal Melbourne Hospital Parkville Australia

Department of Colorectal Surgery North Bristol NHS Trust Bristol UK

Department of Epidemiology and Biostatistics School of Public Health Imperial College London London UK; Department of Hygiene and Epidemiology University of Ioannina School of Medicine Ioannina Greece

Department of Epidemiology and Population Health Albert Einstein College of Medicine Bronx USA

Department of Epidemiology Harvard T H Chan School of Public Health Harvard University Boston; Department of Medical Oncology Dana Farber Cancer Institute Boston; Program in Molecular Pathological Epidemiology Department of Pathology Brigham and Women's Hospital and Harvard Medical School Boston; Department of Oncologic Pathology Dana Farber Cancer Institute Boston

Department of Epidemiology Harvard T H Chan School of Public Health Harvard University Boston; Division of Gastroenterology Massachusetts General Hospital and Harvard Medical School Boston; Clinical and Translational Epidemiology Unit Massachusetts General Hospital and Harvard Medical School Boston USA; Department of Nutrition Harvard T H Chan School of Public Health Boston USA

Department of Medical Oncology and Therapeutics Research City of Hope National Medical Center Duarte USA

Department of Molecular Biology of Cancer Institute of Experimental Medicine of the Czech Academy of Sciences Prague; Institute of Biology and Medical Genetics 1st Faculty of Medicine Charles University Prague; Faculty of Medicine and Biomedical Center in Pilsen Charles University Pilsen Czech Republic

Department of Nutrition Harvard T H Chan School of Public Health Boston USA

Department of Radiation Sciences Oncology Unit Umeå University Umeå; Wallenberg Centre for Molecular Medicine Umeå University Umeå Sweden

Division of Cancer Epidemiology and Genetics National Cancer Institute National Institutes of Health Bethesda USA

Division of Clinical Epidemiology and Aging Research German Cancer Research Center Heidelberg Germany

Division of Epidemiology Department of Population Health New York University School of Medicine New York

Division of Gastroenterology Massachusetts General Hospital and Harvard Medical School Boston; Channing Division of Network Medicine Department of Medicine Brigham and Women's Hospital and Harvard Medical School Boston; Clinical and Translational Epidemiology Unit Massachusetts General Hospital and Harvard Medical School Boston USA

Division of Human Genetics Department of Internal Medicine The Ohio State University Comprehensive Cancer Center Columbus

Division of Public Health Sciences Department of Surgery Washington University School of Medicine St Louis; Division of Gastroenterology Department of Medicine Washington University School of Medicine St Louis; Alvin J Siteman Cancer Center St Louis

Epigenomics and Mechanisms Branch International Agency for Research on Cancer World Health Organization Lyon France; Cancer Research UK Cambridge Institute University of Cambridge Cambridge UK

Leeds Institute of Cancer and Pathology University of Leeds Leeds UK

Medical Research Council Bristol Biomedical Research Centre University Hospitals Bristol and Weston NHS Foundation Trust and the University of Bristol Bristol

Memorial University of Newfoundland Discipline of Genetics St John's Canada

Nutrition and Metabolism Branch International Agency for Research on Cancer World Health Organization Lyon France

Nutrition and Metabolism Branch International Agency for Research on Cancer World Health Organization Lyon France; Department of Epidemiology and Biostatistics School of Public Health Imperial College London London UK

Nutrition and Metabolism Branch International Agency for Research on Cancer World Health Organization Lyon France; Early Cancer Institute Department of Oncology School of Clinical Medicine University of Cambridge Cambridge UK

Ontario Health Toronto; Dalla Lana School of Public Health University of Toronto Toronto Canada

Public Health Sciences Division Fred Hutchinson Cancer Research Center Seattle

Public Health Sciences Division Fred Hutchinson Cancer Research Center Seattle; Department of Epidemiology University of Washington Seattle USA

University of Hawaii Cancer Center Honolulu USA

Zobrazit více v PubMed

Siegel R.L., Torre L.A., Soerjomataram I., et al. Global patterns and trends in colorectal cancer incidence in young adults. Gut. 2019;68:2179–2185. PubMed

Akimoto N., Ugai T., Zhong R., et al. Rising incidence of early-onset colorectal cancer—a call to action. Nat Rev Clin Oncol. 2021;18:230–243. PubMed PMC

The Lancet Gastroenterology Hepatology Addressing the rise of early-onset colorectal cancer. Lancet Gastroenterol Hepatol. 2022;7:197. PubMed

Sinicrope F.A. Increasing incidence of early-onset colorectal cancer. N Engl J Med. 2022;386:1547–1558. PubMed

Patel S.G., Karlitz J.J., Yen T., et al. The rising tide of early-onset colorectal cancer: a comprehensive review of epidemiology, clinical features, biology, risk factors, prevention, and early detection. Lancet Gastroenterol Hepatol. 2022;7:262–274. PubMed

Daca Alvarez M., Quintana I., Terradas M., et al. The inherited and familial component of early-onset colorectal cancer. Cells. 2021;10:710. PubMed PMC

Djursby M., Madsen M.B., Frederiksen J.H., et al. New pathogenic germline variants in very early onset and familial colorectal cancer patients. Front Genet. 2020;11 PubMed PMC

Archambault A.N., Su Y.R., Jeon J., et al. Cumulative burden of colorectal cancer-associated genetic variants is more strongly associated with early-onset vs late-onset cancer. Gastroenterology. 2020;158:1274–1286.e1212. PubMed PMC

Siegel R.L., Fedewa S.A., Anderson W.F., et al. Colorectal cancer incidence patterns in the united states, 1974-2013. J Natl Cancer Inst. 2017;109:djw322. PubMed PMC

Vuik F.E., Nieuwenburg S.A., Bardou M., et al. Increasing incidence of colorectal cancer in young adults in Europe over the last 25 years. Gut. 2019;68:1820–1826. PubMed PMC

Brenner D.R., Ruan Y., Shaw E., et al. Increasing colorectal cancer incidence trends among younger adults in Canada. Prev Med. 2017;105:345–349. PubMed

Rosato V., Bosetti C., Levi F., et al. Risk factors for young-onset colorectal cancer. Cancer Causes Control. 2013;24:335–341. PubMed

Imperiale T.F., Kahi C.J., Stuart J.S., et al. Risk factors for advanced sporadic colorectal neoplasia in persons younger than age 50. Cancer Detect Prev. 2008;32:33–38. PubMed PMC

Archambault A.N., Lin Y., Jeon J., et al. Nongenetic determinants of risk for early-onset colorectal cancer. JNCI Cancer Spectr. 2021;5:pkab029. PubMed PMC

Liu P.H., Wu K., Ng K., et al. Association of obesity with risk of early-onset colorectal cancer among women. JAMA Oncol. 2019;5:37–44. PubMed PMC

Nguyen L.H., Liu P.H., Zheng X., et al. Sedentary behaviors, TV viewing time, and risk of young-onset colorectal cancer. JNCI Cancer Spectr. 2018;2:pky073. PubMed PMC

Chen H., Zheng X., Zong X., et al. Metabolic syndrome, metabolic comorbid conditions and risk of early-onset colorectal cancer. Gut. 2021;70(6):1147–1154. PubMed PMC

Jung Y.S., Ryu S., Chang Y., et al. Risk factors for colorectal neoplasia in persons aged 30 to 39 years and 40 to 49 years. Gastrointest Endosc. 2015;81:637–645.e637. PubMed

Kim J.Y., Jung Y.S., Park J.H., et al. Different risk factors for advanced colorectal neoplasm in young adults. World J Gastroenterol. 2016;22:3611–3620. PubMed PMC

Smith G.D., Ebrahim S. ‘Mendelian randomization’: can genetic epidemiology contribute to understanding environmental determinants of disease? Int J Epidemiol. 2003;32:1–22. PubMed

Huyghe J.R., Bien S.A., Harrison T.A., et al. Discovery of common and rare genetic risk variants for colorectal cancer. Nat Genet. 2019;51:76–87. PubMed PMC

Bycroft C., Freeman C., Petkova D., et al. The UK Biobank resource with deep phenotyping and genomic data. Nature. 2018;562:203–209. PubMed PMC

Willer C.J., Li Y., Abecasis G.R. METAL: fast and efficient meta-analysis of genomewide association scans. Bioinformatics. 2010;26:2190–2191. PubMed PMC

Finucane H.K., Bulik-Sullivan B., Gusev A., et al. Partitioning heritability by functional annotation using genome-wide association summary statistics. Nat Genet. 2015;47:1228–1235. PubMed PMC

Watanabe K., Taskesen E., van Bochoven A., Posthuma D. Functional mapping and annotation of genetic associations with FUMA. Nat Commun. 2017;8:1826. PubMed PMC

Wakefield J. A Bayesian measure of the probability of false discovery in genetic epidemiology studies. Am J Hum Genet. 2007;81:208–227. PubMed PMC

Law P.J., Timofeeva M., Fernandez-Rozadilla C., et al. Association analyses identify 31 new risk loci for colorectal cancer susceptibility. Nat Commun. 2019;10:2154. PubMed PMC

Fernandez-Rozadilla C., Timofeeva M., Chen Z., et al. Deciphering colorectal cancer genetics through multi-omic analysis of 100,204 cases and 154,587 controls of European and East Asian ancestries. Nat Genet. 2023;55(1):89–99. PubMed PMC

Finucane H.K., Reshef Y.A., Anttila V., et al. Heritability enrichment of specifically expressed genes identifies disease-relevant tissues and cell types. Nat Genet. 2018;50:621–629. PubMed PMC

Wang K., Li M., Hakonarson H. ANNOVAR: functional annotation of genetic variants from high-throughput sequencing data. Nucleic Acids Res. 2010;38:e164. PubMed PMC

Roadmap Epigenomics Consortium. Kundaje A., Meuleman W., Ernst J., et al. Integrative analysis of 111 reference human epigenomes. Nature. 2015;518:317–330. PubMed PMC

Ward L.D., Kellis M. HaploReg v4: systematic mining of putative causal variants, cell types, regulators and target genes for human complex traits and disease. Nucleic Acids Res. 2016;44:D877. 881. PubMed PMC

Ng P.C., Henikoff S. SIFT: predicting amino acid changes that affect protein function. Nucleic Acids Res. 2003;31:3812–3814. PubMed PMC

Adzhubei I., Jordan D.M., Sunyaev S.R. Predicting functional effect of human missense mutations using PolyPhen-2. Curr Protoc Hum Genet. 2013 Chapter 7:Unit7 20. PubMed PMC

Oscanoa J., Sivapalan L., Gadaleta E., et al. SNPnexus: a web server for functional annotation of human genome sequence variation (2020 update) Nucleic Acids Res. 2020;48:W185–W192. PubMed PMC

de Leeuw C.A., Mooij J.M., Heskes T., Posthuma D. MAGMA: generalized gene-set analysis of GWAS data. PLoS Comput Biol. 2015;11 PubMed PMC

Zhou G., Soufan O., Ewald J., et al. NetworkAnalyst 3.0: a visual analytics platform for comprehensive gene expression profiling and meta-analysis. Nucleic Acids Res. 2019;47:W234–W241. PubMed PMC

Szklarczyk D., Franceschini A., Wyder S., et al. STRING v10: protein-protein interaction networks, integrated over the tree of life. Nucleic Acids Res. 2015;43:D447–D452. PubMed PMC

Kuleshov M.V., Jones M.R., Rouillard A.D., et al. Enrichr: a comprehensive gene set enrichment analysis web server 2016 update. Nucleic Acids Res. 2016;44:W90–W97. PubMed PMC

Consortium G.T. The genotype-tissue expression (GTEx) project. Nat Genet. 2013;45:580–585. PubMed PMC

Momozawa Y., Dmitrieva J., Theatre E., et al. IBD risk loci are enriched in multigenic regulatory modules encompassing putative causative genes. Nat Commun. 2018;9:2427. PubMed PMC

Zhernakova D.V., Deelen P., Vermaat M., et al. Identification of context-dependent expression quantitative trait loci in whole blood. Nat Genet. 2017;49:139–145. PubMed

Vosa U., Claringbould A., Westra H.J., et al. Large-scale cis- and trans-eQTL analyses identify thousands of genetic loci and polygenic scores that regulate blood gene expression. Nat Genet. 2021;53:1300–1310. PubMed PMC

Schmitt A.D., Hu M., Jung I., et al. A compendium of chromatin contact maps reveals spatially active regions in the human genome. Cell Rep. 2016;17:2042–2059. PubMed PMC

Pierce B.L., Burgess S. Efficient design for Mendelian randomization studies: subsample and 2-sample instrumental variable estimators. Am J Epidemiol. 2013;178:1177–1184. PubMed PMC

Hemani G., Zheng J., Elsworth B., et al. The MR-Base platform supports systematic causal inference across the human phenome. Elife. 2018;7 PubMed PMC

Burgess S., Thompson S.G. Interpreting findings from Mendelian randomization using the MR-Egger method. Eur J Epidemiol. 2017;32:377–389. PubMed PMC

Verbanck M., Chen C.Y., Neale B., Do R. Detection of widespread horizontal pleiotropy in causal relationships inferred from Mendelian randomization between complex traits and diseases. Nat Genet. 2018;50:693–698. PubMed PMC

Bowden J., Davey Smith G., Haycock P.C., Burgess S. Consistent estimation in Mendelian randomization with some invalid instruments using a weighted median estimator. Genet Epidemiol. 2016;40:304–314. PubMed PMC

Corces M.R., Buenrostro J.D., Wu B., et al. Lineage-specific and single-cell chromatin accessibility charts human hematopoiesis and leukemia evolution. Nat Genet. 2016;48:1193–1203. PubMed PMC

Kar S.P., Quiros P.M., Gu M., et al. Genome-wide analyses of 200,453 individuals yield new insights into the causes and consequences of clonal hematopoiesis. Nat Genet. 2022;54:1155–1166. PubMed PMC

Liu Y., Brossard M., Sarnowski C., et al. Network-assisted analysis of GWAS data identifies a functionally-relevant gene module for childhood-onset asthma. Sci Rep. 2017;7:938. PubMed PMC

Greten F.R., Grivennikov S.I. Inflammation and cancer: triggers, mechanisms, and consequences. Immunity. 2019;51:27–41. PubMed PMC

Yao L., Tak Y.G., Berman B.P., Farnham P.J. Functional annotation of colon cancer risk SNPs. Nat Commun. 2014;5:5114. PubMed PMC

Xu H., Yan Y., Deb S., et al. Cohesin Rad21 mediates loss of heterozygosity and is upregulated via Wnt promoting transcriptional dysregulation in gastrointestinal tumors. Cell Rep. 2014;9:1781–1797. PubMed

Sugai T., Osakabe M., Sugimoto R., et al. A genome-wide study of the relationship between chromosomal abnormalities and gene expression in colorectal tumors. Genes Chromosomes Cancer. 2021;60:250–262. PubMed PMC

Ni X., Feng Y., Fu X. Role of salt-inducible kinase 2 in the malignant behavior and glycolysis of colorectal cancer cells. Mol Med Rep. 2021;24:822. PubMed PMC

Kotarba G., Krzywinska E., Grabowska A.I., et al. TFCP2/TFCP2L1/UBP1 transcription factors in cancer. Cancer Lett. 2018;420:72–79. PubMed

Guan X., Guan X., Qin J., et al. ARHGAP11A promotes the malignant progression of gastric cancer by regulating the stability of actin filaments through TPM1. J Oncol. 2021;2021 PubMed PMC

Shi L., Hong X., Ba L., et al. Long non-coding RNA ZNFX1-AS1 promotes the tumor progression and metastasis of colorectal cancer by acting as a competing endogenous RNA of miR-144 to regulate EZH2 expression. Cell Death Dis. 2019;10:150. PubMed PMC

Nagashima S., Maruyama J., Honda K., et al. CSE1L promotes nuclear accumulation of transcriptional coactivator TAZ and enhances invasiveness of human cancer cells. J Biol Chem. 2021;297 PubMed PMC

Xu L., Ziegelbauer J., Wang R., et al. Distinct profiles for mitochondrial t-RNAs and small nucleolar RNAs in locally invasive and metastatic colorectal cancer. Clin Cancer Res. 2016;22:773–784. PubMed PMC

Sieber O.M., Lipton L., Crabtree M., et al. Multiple colorectal adenomas, classic adenomatous polyposis, and germ-line mutations in MYH. N Engl J Med. 2003;348:791–799. PubMed

Lubbe S.J., Di Bernardo M.C., Chandler I.P., Houlston R.S. Clinical implications of the colorectal cancer risk associated with MUTYH mutation. J Clin Oncol. 2009;27:3975–3980. PubMed

Wang G., Yang X., Li C., et al. PIK3R3 induces epithelial-to-mesenchymal transition and promotes metastasis in colorectal cancer. Mol Cancer Ther. 2014;13:1837–1847. PubMed

Chen Q., Sun X., Luo X., et al. PIK3R3 inhibits cell senescence through p53/p21 signaling. Cell Death Dis. 2020;11:798. PubMed PMC

Burns D.M., D'Ambrogio A., Nottrott S., Richter J.D. CPEB and two poly(A) polymerases control miR-122 stability and p53 mRNA translation. Nature. 2011;473:105–108. PubMed PMC

Tordjman J., Majumder M., Amiri M., et al. Tumor suppressor role of cytoplasmic polyadenylation element binding protein 2 (CPEB2) in human mammary epithelial cells. BMC Cancer. 2019;19:561. PubMed PMC

Di J., Zhao G., Wang H., et al. A p53/CPEB2 negative feedback loop regulates renal cancer cell proliferation and migration. J Genet Genomics. 2021;48:606–617. PubMed

Burns D.M., Richter J.D. CPEB regulation of human cellular senescence, energy metabolism, and p53 mRNA translation. Genes Dev. 2008;22:3449–3460. PubMed PMC

Ashburner M., Ball C.A., Blake J.A., et al. Gene Ontology: tool for the unification of biology. The Gene Ontology Consortium. Nat Genet. 2000;25:25–29. PubMed PMC

Ostermann A.L., Wunderlich C.M., Schneiders L., et al. Intestinal insulin/IGF1 signalling through FoxO1 regulates epithelial integrity and susceptibility to colon cancer. Nat Metab. 2019;1:371–389. PubMed

Gueddouri D., Cauzac M., Fauveau V., et al. Insulin resistance per se drives early and reversible dysbiosis-mediated gut barrier impairment and bactericidal dysfunction. Mol Metab. 2022;57 PubMed PMC

Ugai T., Sasamoto N., Lee H.Y., et al. Is early-onset cancer an emerging global epidemic? Current evidence and future implications. Nat Rev Clin Oncol. 2022;19:656–673. PubMed PMC

Chen X., Li H., Guo F., et al. Alcohol consumption, polygenic risk score, and early- and late-onset colorectal cancer risk. EClinicalMedicine. 2022;49 PubMed PMC

Li H., Boakye D., Chen X., et al. Associations of body mass index at different ages with early-onset colorectal cancer. Gastroenterology. 2022;162:1088–1097.e1083. PubMed

NCD Risk Factor Collaboration (NCD-RisC) Worldwide trends in body-mass index, underweight, overweight, and obesity from 1975 to 2016: a pooled analysis of 2416 population-based measurement studies in 128.9 million children, adolescents, and adults. Lancet. 2017;390:2627–2642. PubMed PMC

Holmes A.J., Anderson K. Convergence in national alcohol consumption patterns: new global indicators. J Wine Econ. 2017;12:117–148.

Went M., Sud A., Mills C., et al. Risk factors for eight common cancers revealed from a phenome-wide Mendelian randomisation analysis of 378,142 cases and 485,715 controls. Res Sq. 2023 rs.3.rs-2587058. PubMed PMC

Schernhammer E.S., Giovannucci E., Kawasaki T., et al. Dietary folate, alcohol and B vitamins in relation to LINE-1 hypomethylation in colon cancer. Gut. 2010;59:794–799. PubMed PMC

Antelo M., Balaguer F., Shia J., et al. A high degree of LINE-1 hypomethylation is a unique feature of early-onset colorectal cancer. PLoS One. 2012;7 PubMed PMC

Akimoto N., Zhao M., Ugai T., et al. Tumor long interspersed nucleotide element-1 (LINE-1) hypomethylation in relation to age of colorectal cancer diagnosis and prognosis. Cancers (Basel) 2021;13:2016. PubMed PMC

Doubeni C.A., Major J.M., Laiyemo A.O., et al. Contribution of behavioral risk factors and obesity to socioeconomic differences in colorectal cancer incidence. J Natl Cancer Inst. 2012;104:1353–1362. PubMed PMC

Murphy N., Ward H.A., Jenab M., et al. Heterogeneity of colorectal cancer risk factors by anatomical subsite in 10 European countries: a multinational cohort study. Clin Gastroenterol Hepatol. 2019;17:1323–1331.e1326. PubMed PMC

Morris T.T., Heron J., Sanderson E.C.M., et al. Interpretation of Mendelian randomization using a single measure of an exposure that varies over time. Int J Epidemiol. 2022;51:1899–1909. PubMed PMC

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