Melbourne School of Population and Global Health - Research Publications

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    A tumor focused approach to resolving the etiology of DNA mismatch repair deficient tumors classified as suspected Lynch syndrome.
    Walker, R ; Mahmood, K ; Joo, JE ; Clendenning, M ; Georgeson, P ; Como, J ; Joseland, S ; Preston, SG ; Antill, Y ; Austin, R ; Boussioutas, A ; Bowman, M ; Burke, J ; Campbell, A ; Daneshvar, S ; Edwards, E ; Gleeson, M ; Goodwin, A ; Harris, MT ; Henderson, A ; Higgins, M ; Hopper, JL ; Hutchinson, RA ; Ip, E ; Isbister, J ; Kasem, K ; Marfan, H ; Milnes, D ; Ng, A ; Nichols, C ; O'Connell, S ; Pachter, N ; Pope, BJ ; Poplawski, N ; Ragunathan, A ; Smyth, C ; Spigelman, A ; Storey, K ; Susman, R ; Taylor, JA ; Warwick, L ; Wilding, M ; Williams, R ; Win, AK ; Walsh, MD ; Macrae, FA ; Jenkins, MA ; Rosty, C ; Winship, IM ; Buchanan, DD ; Family Cancer Clinics of Australia, ( 2023-03-01)
    Routine screening of tumors for DNA mismatch repair (MMR) deficiency (dMMR) in colorectal (CRC), endometrial (EC) and sebaceous skin (SST) tumors leads to a significant proportion of unresolved cases classified as suspected Lynch syndrome (SLS). SLS cases (n=135) were recruited from Family Cancer Clinics across Australia and New Zealand. Targeted panel sequencing was performed on tumor (n=137; 80xCRCs, 33xECs and 24xSSTs) and matched blood-derived DNA to assess for microsatellite instability status, tumor mutation burden, COSMIC tumor mutational signatures and to identify germline and somatic MMR gene variants. MMR immunohistochemistry (IHC) and MLH1 promoter methylation were repeated. In total, 86.9% of the 137 SLS tumors could be resolved into established subtypes. For 22.6% of these resolved SLS cases, primary MLH1 epimutations (2.2%) as well as previously undetected germline MMR pathogenic variants (1.5%), tumor MLH1 methylation (13.1%) or false positive dMMR IHC (5.8%) results were identified. Double somatic MMR gene mutations were the major cause of dMMR identified across each tumor type (73.9% of resolved cases, 64.2% overall, 70% of CRC, 45.5% of ECs and 70.8% of SSTs). The unresolved SLS tumors (13.1%) comprised tumors with only a single somatic (7.3%) or no somatic (5.8%) MMR gene mutations. A tumor-focused testing approach reclassified 86.9% of SLS into Lynch syndrome, sporadic dMMR or MMR-proficient cases. These findings support the incorporation of tumor sequencing and alternate MLH1 methylation assays into clinical diagnostics to reduce the number of SLS patients and provide more appropriate surveillance and screening recommendations.
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    Using DEPendency of Association on the Number of Top Hits (DEPTH) as a Complementary Tool to Identify Novel Colorectal Cancer Loci
    Lai, J ; Wong, CK ; Schmidt, DF ; Kapuscinski, MK ; Alpen, K ; Macinnis, RJ ; Buchanan, DD ; Win, AK ; Figueiredo, JC ; Chan, AT ; Harrison, TA ; Hoffmeister, M ; White, E ; Le Marchand, L ; Pai, RK ; Peters, U ; Hopper, JL ; Jenkins, MA ; Makalic, E (AMER ASSOC CANCER RESEARCH, 2023-09)
    BACKGROUND: DEPendency of association on the number of Top Hits (DEPTH) is an approach to identify candidate susceptibility regions by considering the risk signals from overlapping groups of sequential variants across the genome. METHODS: We applied a DEPTH analysis using a sliding window of 200 SNPs to colorectal cancer data from the Colon Cancer Family Registry (CCFR; 5,735 cases and 3,688 controls), and Genetics and Epidemiology of Colorectal Cancer Consortium (GECCO; 8,865 cases and 10,285 controls) studies. A DEPTH score > 1 was used to identify candidate susceptibility regions common to both analyses. We compared DEPTH results against those from conventional genome-wide association study (GWAS) analyses of these two studies as well as against 132 published susceptibility regions. RESULTS: Initial DEPTH analysis revealed 2,622 (CCFR) and 3,686 (GECCO) candidate susceptibility regions, of which 569 were common to both studies. Bootstrapping revealed 40 and 49 candidate susceptibility regions in the CCFR and GECCO data sets, respectively. Notably, DEPTH identified at least 82 regions that would not be detected using conventional GWAS methods, nor had they been identified by previous colorectal cancer GWASs. We found four reproducible candidate susceptibility regions (2q22.2, 2q33.1, 6p21.32, 13q14.3). The highest DEPTH scores were in the human leukocyte antigen locus at 6p21 where the strongest associated SNPs were rs762216297, rs149490268, rs114741460, and rs199707618 for the CCFR data, and rs9270761 for the GECCO data. CONCLUSIONS: DEPTH can identify candidate susceptibility regions for colorectal cancer not identified using conventional analyses of larger datasets. IMPACT: DEPTH has potential as a powerful complementary tool to conventional GWAS analyses for discovering susceptibility regions within the genome.
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    Risk factors for metachronous colorectal cancer and advanced neoplasia following primary colorectal cancer: a systematic review and meta-analysis
    Zhang, Y ; Karahalios, A ; Aung, YK ; Win, AK ; Boussioutas, A ; Jenkins, MA (BMC, 2023-11-30)
    BACKGROUND: Identifying risk factors for metachronous colorectal cancer (CRC) and metachronous advanced neoplasia could be useful for guiding surveillance. We conducted a systematic review and meta-analysis to investigate risk factors for metachronous CRC and advanced neoplasia. METHODS: Searches were conducted in MEDLINE, Embase, Web of Science and Cochrane Central Registry of Controlled Trials for articles (searching period: 1945 to Feburary, 2021) that reported the results of an association between any factor and metachronous advanced neoplasia or metachronous CRC. There were no restrictions on the publication date or language. Random effects models were fitted to estimate the combined association between the risk factors and metachronous CRC or advanced neoplasia. The Risk of Bias In Non-Randomised Studies of Interventions tool (ROBINS-I) was used to assess the risk of bias of included studies. RESULTS: In total, 22 observational studies with 625,208 participants were included in the systematic review and meta-analysis. Of these, 13 studies investigated risk factors for metachronous CRC and 9 for advanced neoplasia. The risks of metachronous CRC or advanced neoplasia were higher if the first CRC was diagnosed in the presence of a synchronous advanced lesion (pooled risk ratio (RR) from 3 studies: 3.61, 95% confidence interval (CI): 1.44-9.05; and pooled RR from 8 studies: 2.77, 95% CI: 2.23-3.43, respectively). The risk of metachronous CRC was lower, but the risk of metachronous advanced neoplasia was higher if the first CRC was distal (compared with proximal) (pooled RR from 3 studies: 0.48, 95% CI: 0.23-0.98; and pooled RR from 2 studies: 2.99, 95% CI: 1.60-5.58 respectively). The risk of metachronous advanced neoplasia increased with age (pooled RR from 3 studies: 1.07 per year of age, 95% CI: 1.03-1.11). There was no evidence that any lifestyle risk factors studied were associated with the risk of metachronous CRC or advanced neoplasia. CONCLUSIONS: The identified risk factors for metachronous CRC and advanced neoplasia might be useful to tailor the existing surveillance guidelines after the first CRC. There were potential limitations due to possible misclassification of the outcome, confounding and risk of bias, and the findings cannot be generalised to high-risk genetic syndrome cases.
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    Deciphering colorectal cancer genetics through multi-omic analysis of 100,204 cases and 154,587 controls of European and east Asian ancestries
    Fernandez-Rozadilla, C ; Timofeeva, M ; Chen, Z ; Law, P ; Thomas, M ; Bien, S ; Diez-Obrero, V ; Li, L ; Fernandez-Tajes, J ; Palles, C ; Sherwood, K ; Harris, S ; Svinti, V ; McDonnell, K ; Farrington, S ; Studd, J ; Vaughan-Shaw, P ; Shu, X-O ; Long, J ; Cai, Q ; Guo, X ; Lu, Y ; Scacheri, P ; Studd, J ; Huyghe, J ; Harrison, T ; Shibata, D ; Haiman, C ; Devall, M ; Schumacher, F ; Melas, M ; Rennert, G ; Obon-Santacana, M ; Martin-Sanchez, V ; Moratalla-Navarro, F ; Oh, JH ; Kim, J ; Jee, SH ; Jung, KJ ; Kweon, S-S ; Shin, M-H ; Shin, A ; Ahn, Y-O ; Kim, D-H ; Oze, I ; Wen, W ; Matsuo, K ; Matsuda, K ; Tanikawa, C ; Ren, Z ; Gao, Y-T ; Jia, W-H ; Potter, J ; Jenkins, M ; Win, AK ; Pai, R ; Figueiredo, J ; Haile, R ; Gallinger, S ; Woods, M ; Newcomb, P ; Shibata, D ; Cheadle, J ; Kaplan, R ; Maughan, T ; Kerr, R ; Kerr, D ; Kirac, I ; Boehm, J ; Mecklin, L-P ; Jousilahti, P ; Knekt, P ; Aaltonen, L ; Rissanen, H ; Pukkala, E ; Eriksson, J ; Cajuso, T ; Hanninen, U ; Kondelin, J ; Palin, K ; Tanskanen, T ; Renkonen-Sinisalo, L ; Zanke, B ; Mannisto, S ; Albanes, D ; Weinstein, S ; Ruiz-Narvaez, E ; Palmer, J ; Buchanan, D ; Platz, E ; Visvanathan, K ; Ulrich, C ; Siegel, E ; Brezina, S ; Gsur, A ; Campbell, P ; Chang-Claude, J ; Hoffmeister, M ; Brenner, H ; Slattery, M ; Potter, J ; Tsilidis, K ; Schulze, M ; Gunter, M ; Murphy, N ; Castells, A ; Castellvi-Bel, S ; Moreira, L ; Arndt, V ; Shcherbina, A ; Stern, M ; Pardamean, B ; Bishop, T ; Giles, G ; Southey, M ; Idos, G ; McDonnell, K ; Abu-Ful, Z ; Greenson, J ; Shulman, K ; Lejbkowicz, F ; Offit, K ; Su, Y-R ; Steinfelder, R ; Keku, T ; van Guelpen, B ; Hudson, T ; Hampel, H ; Pearlman, R ; Berndt, S ; Hayes, R ; Martinez, ME ; Thomas, S ; Corley, D ; Pharoah, P ; Larsson, S ; Yen, Y ; Lenz, H-J ; White, E ; Li, L ; Doheny, K ; Pugh, E ; Shelford, T ; Chan, A ; Cruz-Correa, M ; Lindblom, A ; Shibata, D ; Joshi, A ; Schafmayer, C ; Scacheri, P ; Kundaje, A ; Nickerson, D ; Schoen, R ; Hampe, J ; Stadler, Z ; Vodicka, P ; Vodickova, L ; Vymetalkova, V ; Papadopoulos, N ; Edlund, C ; Gauderman, W ; Thomas, D ; Shibata, D ; Toland, A ; Markowitz, S ; Kim, A ; Gruber, S ; van Duijnhoven, F ; Feskens, E ; Sakoda, L ; Gago-Dominguez, M ; Wolk, A ; Naccarati, A ; Pardini, B ; FitzGerald, L ; Lee, SC ; Ogino, S ; Bien, S ; Kooperberg, C ; Li, C ; Lin, Y ; Prentice, R ; Qu, C ; Bezieau, S ; Tangen, C ; Mardis, E ; Yamaji, T ; Sawada, N ; Iwasaki, M ; Haiman, C ; Le Marchand, L ; Wu, A ; Qu, C ; McNeil, C ; Coetzee, G ; Hayward, C ; Deary, I ; Harris, S ; Theodoratou, E ; Reid, S ; Walker, M ; Ooi, LY ; Moreno, V ; Casey, G ; Gruber, S ; Tomlinson, I ; Zheng, W ; Dunlop, M ; Houlston, R ; Peters, U (NATURE PORTFOLIO, 2023-01)
    Colorectal cancer (CRC) is a leading cause of mortality worldwide. We conducted a genome-wide association study meta-analysis of 100,204 CRC cases and 154,587 controls of European and east Asian ancestry, identifying 205 independent risk associations, of which 50 were unreported. We performed integrative genomic, transcriptomic and methylomic analyses across large bowel mucosa and other tissues. Transcriptome- and methylome-wide association studies revealed an additional 53 risk associations. We identified 155 high-confidence effector genes functionally linked to CRC risk, many of which had no previously established role in CRC. These have multiple different functions and specifically indicate that variation in normal colorectal homeostasis, proliferation, cell adhesion, migration, immunity and microbial interactions determines CRC risk. Crosstissue analyses indicated that over a third of effector genes most probably act outside the colonic mucosa. Our findings provide insights into colorectal oncogenesis and highlight potential targets across tissues for new CRC treatment and chemoprevention strategies.
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    The Colorectal cancer RISk Prediction (CRISP) trial: a randomised controlled trial of a decision support tool for risk-stratified colorectal cancer screening
    Emery, JD ; Jenkins, MA ; Saya, S ; Chondros, P ; Oberoi, J ; Milton, S ; Novy, K ; Habgood, E ; Karnchanachari, N ; Pirotta, M ; Trevena, L ; Bickerstaffe, A ; Lourenco, RDA ; Crothers, A ; Ouakrim, DA ; Flander, L ; Dowty, JG ; Walter, FM ; Clark, M ; Doncovio, S ; Etemadmoghadam, D ; Fishman, G ; Macrae, F ; Winship, I ; McIntosh, JG (ROYAL COLL GENERAL PRACTITIONERS, 2023-08)
    BACKGROUND: A risk-stratified approach to colorectal cancer (CRC) screening could result in a more acceptable balance of benefits and harms, and be more cost-effective. AIM: To determine the effect of a consultation in general practice using a computerised risk assessment and decision support tool (Colorectal cancer RISk Prediction, CRISP) on risk-appropriate CRC screening. DESIGN AND SETTING: Randomised controlled trial in 10 general practices in Melbourne, Australia, from May 2017 to May 2018. METHOD: Participants were recruited from a consecutive sample of patients aged 50-74 years attending their GP. Intervention consultations included CRC risk assessment using the CRISP tool and discussion of CRC screening recommendations. Control group consultations focused on lifestyle CRC risk factors. The primary outcome was risk-appropriate CRC screening at 12 months. RESULTS: A total of 734 participants (65.1% of eligible patients) were randomised (369 intervention, 365 control); the primary outcome was determined for 722 (362 intervention, 360 control). There was a 6.5% absolute increase (95% confidence interval [CI] = -0.28 to 13.2) in risk-appropriate screening in the intervention compared with the control group (71.5% versus 65.0%; odds ratio [OR] 1.36, 95% CI = 0.99 to 1.86, P = 0.057). In those due CRC screening during follow-up, there was a 20.3% (95% CI = 10.3 to 30.4) increase (intervention 59.8% versus control 38.9%; OR 2.31, 95% CI = 1.51 to 3.53, P<0.001) principally by increasing faecal occult blood testing in those at average risk. CONCLUSION: A risk assessment and decision support tool increases risk-appropriate CRC screening in those due screening. The CRISP intervention could commence in people in their fifth decade to ensure people start CRC screening at the optimal age with the most cost-effective test.
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    DNA Mismatch Repair Gene Variant Classification: Evaluating the Utility of Somatic Mutations and Mismatch Repair Deficient Colonic Crypts and Endometrial Glands
    Walker, R ; Mahmood, K ; Como, J ; Clendenning, M ; Joo, JE ; Georgeson, P ; Joseland, S ; Preston, SG ; Pope, BJ ; Chan, JM ; Austin, R ; Bojadzieva, J ; Campbell, A ; Edwards, E ; Gleeson, M ; Goodwin, A ; Harris, MT ; Ip, E ; Kirk, J ; Mansour, J ; Fan, HM ; Nichols, C ; Pachter, N ; Ragunathan, A ; Spigelman, A ; Susman, R ; Christie, M ; Jenkins, MA ; Pai, RK ; Rosty, C ; Macrae, FA ; Winship, IM ; Buchanan, DD (MDPI, 2023-10)
    Germline pathogenic variants in the DNA mismatch repair (MMR) genes (Lynch syndrome) predispose to colorectal (CRC) and endometrial (EC) cancer. Lynch syndrome specific tumor features were evaluated for their ability to support the ACMG/InSiGHT framework in classifying variants of uncertain clinical significance (VUS) in the MMR genes. Twenty-eight CRC or EC tumors from 25 VUS carriers (6xMLH1, 9xMSH2, 6xMSH6, 4xPMS2), underwent targeted tumor sequencing for the presence of microsatellite instability/MMR-deficiency (MSI-H/dMMR) status and identification of a somatic MMR mutation (second hit). Immunohistochemical testing for the presence of dMMR crypts/glands in normal tissue was also performed. The ACMG/InSiGHT framework reclassified 7/25 (28%) VUS to likely pathogenic (LP), three (12%) to benign/likely benign, and 15 (60%) VUS remained unchanged. For the seven re-classified LP variants comprising nine tumors, tumor sequencing confirmed MSI-H/dMMR (8/9, 88.9%) and a second hit (7/9, 77.8%). Of these LP reclassified variants where normal tissue was available, the presence of a dMMR crypt/gland was found in 2/4 (50%). Furthermore, a dMMR endometrial gland in a carrier of an MSH2 exon 1-6 duplication provides further support for an upgrade of this VUS to LP. Our study confirmed that identifying these Lynch syndrome features can improve MMR variant classification, enabling optimal clinical care.
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    Causal relationships between breast cancer risk factors based on mammographic features
    Ye, Z ; Nguyen, TL ; Dite, GS ; Macinnis, RJ ; Schmidt, DF ; Makalic, E ; Al-Qershi, OM ; Bui, M ; Esser, VFC ; Dowty, JG ; Trinh, HN ; Evans, CF ; Tan, M ; Sung, J ; Jenkins, MA ; Giles, GG ; Southey, MC ; Hopper, JL ; Li, S (BMC, 2023-10-25)
    BACKGROUND: Mammogram risk scores based on texture and density defined by different brightness thresholds are associated with breast cancer risk differently and could reveal distinct information about breast cancer risk. We aimed to investigate causal relationships between these intercorrelated mammogram risk scores to determine their relevance to breast cancer aetiology. METHODS: We used digitised mammograms for 371 monozygotic twin pairs, aged 40-70 years without a prior diagnosis of breast cancer at the time of mammography, from the Australian Mammographic Density Twins and Sisters Study. We generated normalised, age-adjusted, and standardised risk scores based on textures using the Cirrus algorithm and on three spatially independent dense areas defined by increasing brightness threshold: light areas, bright areas, and brightest areas. Causal inference was made using the Inference about Causation from Examination of FAmilial CONfounding (ICE FALCON) method. RESULTS: The mammogram risk scores were correlated within twin pairs and with each other (r = 0.22-0.81; all P < 0.005). We estimated that 28-92% of the associations between the risk scores could be attributed to causal relationships between the scores, with the rest attributed to familial confounders shared by the scores. There was consistent evidence for positive causal effects: of Cirrus, light areas, and bright areas on the brightest areas (accounting for 34%, 55%, and 85% of the associations, respectively); and of light areas and bright areas on Cirrus (accounting for 37% and 28%, respectively). CONCLUSIONS: In a mammogram, the lighter (less dense) areas have a causal effect on the brightest (highly dense) areas, including through a causal pathway via textural features. These causal relationships help us gain insight into the relative aetiological importance of different mammographic features in breast cancer. For example our findings are consistent with the brightest areas being more aetiologically important than lighter areas for screen-detected breast cancer; conversely, light areas being more aetiologically important for interval breast cancer. Additionally, specific textural features capture aetiologically independent breast cancer risk information from dense areas. These findings highlight the utility of ICE FALCON and family data in decomposing the associations between intercorrelated disease biomarkers into distinct biological pathways.
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    SMARTERscreen protocol: a three-arm cluster randomised controlled trial of patient SMS messaging in general practice to increase participation in the Australian National Bowel Cancer Screening Program
    McIntosh, JG ; Emery, JD ; Wood, A ; Chondros, P ; Goodwin, BC ; Trevena, J ; Wilson, C ; Chang, S ; Hocking, J ; Campbell, T ; Macrae, F ; Milley, K ; Lew, J-B ; Nightingale, C ; Dixon, I ; Castelli, M ; Lee, N ; Innes, L ; Jolley, T ; Fletcher, S ; Buchanan, L ; Doncovio, S ; Broun, K ; Austin, G ; Jiang, J ; Jenkins, MA (BMC, 2023-11-13)
    BACKGROUND: Australia persistently has one of the highest rates of colorectal cancer (CRC) in the world. Australia's National Bowel Cancer Screening Program (NBCSP) sends a biennial Faecal Immunochemical Test (FIT)-the 'NBCSP kit'-to everyone eligible for the programme between 50 and 74 years old; however, participation in the programme is low, especially in the 50- to 60-year-old age group. Our previous efficacy trial ('SMARTscreen') demonstrated an absolute increase in uptake of 16.5% (95% confidence interval = 2.02-30.9%) for people sent an SMS with motivational and instructional videos, from their general practice prior to receiving their NBCSP kit, compared to those receiving usual care. Building on the strengths of the SMARTscreen trial and addressing limitations, the 'SMARTERscreen' trial will test the effect on participation in the NBCSP of sending either an SMS only or an SMS with online video material to general practice patients due to receive their NBCSP compared to 'usual care'. METHODS: SMARTERscreen is a three-arm stratified cluster randomised controlled trial involving 63 general practices in two states in Australia. Eligible patients are patients who are aged 49-60 years and due to receive their NBCSP kit within the next 2 weeks during the intervention period. General practices will be equally randomised to three trial arms (21:21:21, estimated average 260 patients/practice). The two interventions include (i) an SMS with an encouraging message from their general practice or (ii) the same SMS with weblinks to additional motivational and instructional videos. The control arm will receive 'usual care'. Using the intention-to-treat approach, primary analysis will estimate the three pair-wise between-arm differences in the proportion of eligible patients who participate in the NBCSP within 6 months of when their kit is sent, utilising screening data from the Australian National Cancer Screening Register (NCSR). Patient intervention adherence to the interventions will also be evaluated. Findings will be incorporated into the Policy1-Bowel microsimulation model to estimate the long-term health benefits and cost-effectiveness of the interventions. DISCUSSION: SMARTERscreen will provide high-level evidence determining whether an SMS or an SMS with web-based material sent to general practice patients prior to receiving their NBCSP kit increases participation in bowel cancer screening. TRIAL REGISTRATION: Australian New Zealand Clinical Trials Registry ACTRN12623000036617. Registered on 13 January 2023. Trial URL: https://www.anzctr.org.au/Trial/Registration/TrialReview.aspx?id=385119&isClinicalTrial=False.
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    A Genetic Locus within the FMN1/GREM1 Gene Region Interacts with Body Mass Index in Colorectal Cancer Risk
    Aglago, EK ; Kim, A ; Lin, Y ; Qu, C ; Evangelou, M ; Ren, Y ; Morrison, J ; Albanes, D ; Arndt, V ; Barry, EL ; Baurley, JW ; Berndt, S ; Bien, SA ; Bishop, DT ; Bouras, E ; Brenner, H ; Buchanan, DD ; Budiarto, A ; Carreras-Torres, R ; Casey, G ; Cenggoro, TW ; Chen, AT ; Chang-Claude, J ; Chen, X ; Conti, D ; Devall, M ; Diez-Obrero, V ; Dimou, N ; Drew, D ; Figueiredo, JC ; Gallinger, S ; Giles, GG ; Gruber, SB ; Gsur, A ; Gunter, MJ ; Hampel, H ; Harlid, S ; Hidaka, A ; Harrison, TA ; Hoffmeister, M ; Huyghe, JR ; Jenkins, MA ; Jordahl, K ; Joshi, AD ; Kawaguchi, ES ; Keku, TO ; Kundaje, A ; Larsson, SC ; Le Marchand, L ; Lewinger, JP ; Li, L ; Lynch, BM ; Mahesworo, B ; Mandic, M ; Obon-Santacana, M ; Morento, V ; Murphy, N ; Men, H ; Nassir, R ; Newcomb, PA ; Ogino, S ; Ose, J ; Pai, RK ; Palmer, JR ; Papadimitriou, N ; Pardamean, B ; Peoples, AR ; Platz, EA ; Potter, JD ; Prentice, RL ; Rennert, G ; Ruiz-Narvaez, E ; Sakoda, LC ; Scacheri, PC ; Schmit, SL ; Schoen, RE ; Shcherbina, A ; Slattery, ML ; Stern, MC ; Su, Y-R ; Tangen, CM ; Thibodeau, SN ; Thomas, DC ; Tian, Y ; Ulrich, CM ; van Duijnhoven, FJB ; Van Guelpen, B ; Visvanathan, K ; Vodicka, P ; Wang, J ; White, E ; Wolk, A ; Woods, MO ; Wu, AH ; Zemlianskaia, N ; Hsu, L ; Gauderman, WJ ; Peters, U ; Tsilidis, KK ; Campbell, PT (AMER ASSOC CANCER RESEARCH, 2023-08-01)
    UNLABELLED: Colorectal cancer risk can be impacted by genetic, environmental, and lifestyle factors, including diet and obesity. Gene-environment interactions (G × E) can provide biological insights into the effects of obesity on colorectal cancer risk. Here, we assessed potential genome-wide G × E interactions between body mass index (BMI) and common SNPs for colorectal cancer risk using data from 36,415 colorectal cancer cases and 48,451 controls from three international colorectal cancer consortia (CCFR, CORECT, and GECCO). The G × E tests included the conventional logistic regression using multiplicative terms (one degree of freedom, 1DF test), the two-step EDGE method, and the joint 3DF test, each of which is powerful for detecting G × E interactions under specific conditions. BMI was associated with higher colorectal cancer risk. The two-step approach revealed a statistically significant G×BMI interaction located within the Formin 1/Gremlin 1 (FMN1/GREM1) gene region (rs58349661). This SNP was also identified by the 3DF test, with a suggestive statistical significance in the 1DF test. Among participants with the CC genotype of rs58349661, overweight and obesity categories were associated with higher colorectal cancer risk, whereas null associations were observed across BMI categories in those with the TT genotype. Using data from three large international consortia, this study discovered a locus in the FMN1/GREM1 gene region that interacts with BMI on the association with colorectal cancer risk. Further studies should examine the potential mechanisms through which this locus modifies the etiologic link between obesity and colorectal cancer. SIGNIFICANCE: This gene-environment interaction analysis revealed a genetic locus in FMN1/GREM1 that interacts with body mass index in colorectal cancer risk, suggesting potential implications for precision prevention strategies.
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    Elucidating the Risk of Colorectal Cancer for Variants in Hereditary Colorectal Cancer Genes
    Mahmood, K ; Thomas, M ; Qu, C ; Hsu, L ; Buchanan, DD ; Peters, U (W B SAUNDERS CO-ELSEVIER INC, 2023-10)