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41.
  • Papadimitriou, Nikos, et al. (author)
  • Physical activity and risks of breast and colorectal cancer : a Mendelian randomisation analysis
  • 2020
  • In: Nature Communications. - : Springer Nature. - 2041-1723. ; 11:1
  • Journal article (peer-reviewed)abstract
    • Physical activity has been associated with lower risks of breast and colorectal cancer in epidemiological studies; however, it is unknown if these associations are causal or confounded. In two-sample Mendelian randomisation analyses, using summary genetic data from the UK Biobank and GWA consortia, we found that a one standard deviation increment in average acceleration was associated with lower risks of breast cancer (odds ratio [OR]: 0.51, 95% confidence interval [CI]: 0.27 to 0.98, P-value=0.04) and colorectal cancer (OR: 0.66, 95% CI: 0.48 to 0.90, P-value=0.01). We found similar magnitude inverse associations for estrogen positive (ER+ve) breast cancer and for colon cancer. Our results support a potentially causal relationship between higher physical activity levels and lower risks of breast cancer and colorectal cancer. Based on these data, the promotion of physical activity is probably an effective strategy in the primary prevention of these commonly diagnosed cancers. Physical activity has been linked to lower risks of colorectal and breast cancer. Here, the authors present a Mendelian randomisation analysis supporting a potentially causal relationship between higher physical activity levels and lower risks of breast cancer and colorectal cancer.
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42.
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43.
  • Su, Yu-Ru, et al. (author)
  • Validation of a genetic-enhanced risk prediction model for colorectal cancer in a large community-based cohort
  • 2023
  • In: Cancer Epidemiology, Biomarkers and Prevention. - : American association for cancer research. - 1055-9965 .- 1538-7755. ; 32:3, s. 353-362
  • Journal article (peer-reviewed)abstract
    • BACKGROUND: Polygenic risk scores (PRS) which summarize individuals' genetic risk profile may enhance targeted colorectal cancer screening. A critical step towards clinical implementation is rigorous external validations in large community-based cohorts. This study externally validated a PRS-enhanced colorectal cancer risk model comprising 140 known colorectal cancer loci to provide a comprehensive assessment on prediction performance.METHODS: The model was developed using 20,338 individuals and externally validated in a community-based cohort (n = 85,221). We validated predicted 5-year absolute colorectal cancer risk, including calibration using expected-to-observed case ratios (E/O) and calibration plots, and discriminatory accuracy using time-dependent AUC. The PRS-related improvement in AUC, sensitivity and specificity were assessed in individuals of age 45 to 74 years (screening-eligible age group) and 40 to 49 years with no endoscopy history (younger-age group).RESULTS: In European-ancestral individuals, the predicted 5-year risk calibrated well [E/O = 1.01; 95% confidence interval (CI), 0.91-1.13] and had high discriminatory accuracy (AUC = 0.73; 95% CI, 0.71-0.76). Adding the PRS to a model with age, sex, family and endoscopy history improved the 5-year AUC by 0.06 (P < 0.001) and 0.14 (P = 0.05) in the screening-eligible age and younger-age groups, respectively. Using a risk-threshold of 5-year SEER colorectal cancer incidence rate at age 50 years, adding the PRS had a similar sensitivity but improved the specificity by 11% (P < 0.001) in the screening-eligible age group. In the younger-age group it improved the sensitivity by 27% (P = 0.04) with similar specificity.CONCLUSIONS: The proposed PRS-enhanced model provides a well-calibrated 5-year colorectal cancer risk prediction and improves discriminatory accuracy in the external cohort.IMPACT: The proposed model has potential utility in risk-stratified colorectal cancer prevention.
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44.
  • Thomas, Minta, et al. (author)
  • Combining Asian and European genome-wide association studies of colorectal cancer improves risk prediction across racial and ethnic populations
  • 2023
  • In: Nature Communications. - : Springer Nature. - 2041-1723. ; 14:1
  • Journal article (peer-reviewed)abstract
    • Polygenic risk scores (PRS) have great potential to guide precision colorectal cancer (CRC) prevention by identifying those at higher risk to undertake targeted screening. However, current PRS using European ancestry data have sub-optimal performance in non-European ancestry populations, limiting their utility among these populations. Towards addressing this deficiency, we expand PRS development for CRC by incorporating Asian ancestry data (21,731 cases; 47,444 controls) into European ancestry training datasets (78,473 cases; 107,143 controls). The AUC estimates (95% CI) of PRS are 0.63(0.62-0.64), 0.59(0.57-0.61), 0.62(0.60-0.63), and 0.65(0.63-0.66) in independent datasets including 1681-3651 cases and 8696-115,105 controls of Asian, Black/African American, Latinx/Hispanic, and non-Hispanic White, respectively. They are significantly better than the European-centric PRS in all four major US racial and ethnic groups (p-values < 0.05). Further inclusion of non-European ancestry populations, especially Black/African American and Latinx/Hispanic, is needed to improve the risk prediction and enhance equity in applying PRS in clinical practice.
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45.
  • Thomas, Minta, et al. (author)
  • Genome-wide Modeling of Polygenic Risk Score in Colorectal Cancer Risk.
  • 2020
  • In: American Journal of Human Genetics. - Cambridge : Elsevier BV. - 0002-9297 .- 1537-6605. ; 107:3, s. 432-444
  • Journal article (peer-reviewed)abstract
    • Accurate colorectal cancer (CRC) risk prediction models are critical for identifying individuals at low and high risk of developing CRC, as they can then be offered targeted screening and interventions to address their risks of developing disease (if they are in a high-risk group) and avoid unnecessary screening and interventions (if they are in a low-risk group). As it is likely that thousands of genetic variants contribute to CRC risk, it is clinically important to investigate whether these genetic variants can be used jointly for CRC risk prediction. In this paper, we derived and compared different approaches to generating predictive polygenic risk scores (PRS) from genome-wide association studies (GWASs) including 55,105 CRC-affected case subjects and 65,079 control subjects of European ancestry. We built the PRS in three ways, using (1) 140 previously identified and validated CRC loci; (2) SNP selection based on linkage disequilibrium (LD) clumping followed by machine-learning approaches; and (3) LDpred, a Bayesian approach for genome-wide risk prediction. We tested the PRS in an independent cohort of 101,987 individuals with 1,699 CRC-affected case subjects. The discriminatory accuracy, calculated by the age- and sex-adjusted area under the receiver operating characteristics curve (AUC), was highest for the LDpred-derived PRS (AUC = 0.654) including nearly 1.2 M genetic variants (the proportion of causal genetic variants for CRC assumed to be 0.003), whereas the PRS of the 140 known variants identified from GWASs had the lowest AUC (AUC = 0.629). Based on the LDpred-derived PRS, we are able to identify 30% of individuals without a family history as having risk for CRC similar to those with a family history of CRC, whereas the PRS based on known GWAS variants identified only top 10% as having a similar relative risk. About 90% of these individuals have no family history and would have been considered average risk under current screening guidelines, but might benefit from earlier screening. The developed PRS offers a way for risk-stratified CRC screening and other targeted interventions.
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46.
  • Thomas, Minta, et al. (author)
  • Response to Li and Hopper
  • 2021
  • In: American Journal of Human Genetics. - : Elsevier BV. - 0002-9297 .- 1537-6605. ; 108:3, s. 527-529
  • Journal article (peer-reviewed)
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47.
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48.
  • Thomsen, Hauke, et al. (author)
  • Genomewide association study on monoclonal gammopathy of unknown significance (MGUS)
  • 2017
  • In: European Journal of Haematology. - : Wiley. - 0902-4441. ; 99:1, s. 70-79
  • Journal article (peer-reviewed)abstract
    • OBJECTIVES: To identify germ line variants contributing to the development of monoclonal gammopathy of undetermined significance (MGUS), an asymptomatic premalignant precursor for multiple myeloma (MM).METHODS: We conducted the first genomewide association study (GWAS) on MGUS on 243 German cases with a replication on 294 Czech cases. Identified loci were further analyzed in 1508 German MM patients. New MM loci recently reported in a meta-analysis were also tested in the MGUS GWAS.RESULTS: In GWAS, we identified 10 loci contributing to development of MGUS at P-value threshold of 10-5 . The Czech cohort gave support for two associations (6q26, rs6933936; 7p21.3 rs10251201). In GWAS, rs974120 (8p23.2) reached genomewide significance (P=2.94×10-9 ), with a nominal significance in MM. The locus of rs974120 shows marks of transcriptional activity in leukemia according to ENCODE data. rs10251201 (7p21.3), rs9318227 (13q22.1), and rs10405859 (19q13.32) were associated with markers related to leukemogenesis and immune and inflammatory responses. Two newly identified candidate loci for MM, rs1948915 (8q24.21) and rs8058578 (16p11.2), were nominally associated with MGUS.CONCLUSIONS: These data allow a cautious first proposal for a germ line architecture of MGUS with links to leukemia and autoimmune conditions, the latter agreeing with a family study showing clustering of MGUS with autoimmune diseases.
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49.
  • Thomsen, Hauke, et al. (author)
  • Haplotype analysis identifies functional elements in monoclonal gammopathy of unknown significance
  • 2024
  • In: Blood Cancer Journal. - : Springer Nature. - 2044-5385. ; 14:1
  • Journal article (peer-reviewed)abstract
    • Genome-wide association studies (GWASs) based on common single nucleotide polymorphisms (SNPs) have identified several loci associated with the risk of monoclonal gammopathy of unknown significance (MGUS), a precursor condition for multiple myeloma (MM). We hypothesized that analyzing haplotypes might be more useful than analyzing individual SNPs, as it could identify functional chromosomal units that collectively contribute to MGUS risk. To test this hypothesis, we used data from our previous GWAS on 992 MGUS cases and 2910 controls from three European populations. We identified 23 haplotypes that were associated with the risk of MGUS at the genome-wide significance level (p < 5 × 10−8) and showed consistent results among all three populations. In 10 genomic regions, strong promoter, enhancer and regulatory element-related histone marks and their connections to target genes as well as genome segmentation data supported the importance of these regions in MGUS susceptibility. Several associated haplotypes affected pathways important for MM cell survival such as ubiquitin-proteasome system (RNF186, OTUD3), PI3K/AKT/mTOR (HINT3), innate immunity (SEC14L1, ZBP1), cell death regulation (BID) and NOTCH signaling (RBPJ). These pathways are important current therapeutic targets for MM, which may highlight the advantage of the haplotype approach homing to functional units.
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50.
  • Vodicka, Pavel, et al. (author)
  • Chromosomal damage in peripheral blood lymphocytes of newly diagnosed cancer patients and healthy controls
  • 2010
  • In: Carcinogenesis. - : Oxford University Press (OUP). - 0143-3334 .- 1460-2180. ; 31:7, s. 1238-1241
  • Journal article (peer-reviewed)abstract
    • Background: The majority of human cancers arise from cells unable to maintain genomic stability. Recent prospective studies indicated that enhanced chromosomal aberrations (CAs) frequencies are predictive of gastrointestinal and lung cancers. However, studies on incident cancer patients are lacking; thus, we investigated chromosomal damage in newly diagnosed cancer patients and healthy individuals. Methods: We analyzed chromosomal damage in peripheral blood lymphocytes in a group of 300 incident cancer patients (with different malignancies) in comparison with 300 healthy controls. Results and Conclusions: The frequencies of aberrant cells (ACs) and CAs were significantly higher in patients (2.38 +/- 1.56 and 2.53 +/- 1.69, respectively) as compared with controls (1.81 +/- 1.31 and 1.94 +/- 1.47, respectively, P < 0.01). The percentual difference in chromatid-type aberrations (CTAs) between patients and controls was moderately significant (1.37 +/- 1.20 and 1.11 +/- 0.99, respectively, P < 0.05), whereas the difference in chromosome-type aberrations (CSAs) was stronger (1.16 +/- 1.24 versus 0.83 +/- 1.12, P < 0.01). Using binomial logistic regression, the estimated odds ratios and 95% confidence interval for ACs were 1.33 (1.18-1.49), P < 0.01; for CAs, 1.27 (1.14-1.41), P < 0.01; for CTA 1.24 (1.07-1.44), P < 0.01 and for CSA, 1.27 (1.10-1.47), P < 0.01. By stratifying patients for distinct neoplasia, markers of chromosomal damage were significantly enhanced in patients with breast, prostate and head/neck cancers, whereas no effect was recorded in patients affected by gastrointestinal cancers. The present study shows for the first time evidence of increased chromosomal damage in lymphocytes of incident cancer patients compared with healthy controls. The effects were observed in different cancer types but as the number of patients was relatively small, further studies are warranted.
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  • Result 41-50 of 54
Type of publication
journal article (54)
Type of content
peer-reviewed (54)
Author/Editor
Vodicka, Pavel (54)
Vodickova, Ludmila (41)
Hemminki, Kari (28)
Försti, Asta (27)
Brenner, Hermann (24)
Peters, Ulrike (23)
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Chang-Claude, Jenny (22)
Hoffmeister, Michael (22)
Naccarati, Alessio (21)
Wolk, Alicja (20)
Giles, Graham G (20)
van Guelpen, Bethany (20)
White, Emily (20)
Berndt, Sonja I (19)
Chan, Andrew T. (19)
Gsur, Andrea (19)
Li, Li (19)
Moreno, Victor (19)
Newcomb, Polly A. (19)
Albanes, Demetrius (18)
Gruber, Stephen B. (18)
Gunter, Marc J. (18)
Bishop, D Timothy (17)
Casey, Graham (17)
Hampel, Heather (17)
Keku, Temitope O. (17)
Platz, Elizabeth A. (17)
Slattery, Martha L. (17)
Visvanathan, Kala (17)
Woods, Michael O. (17)
Wu, Anna H. (17)
Campbell, Peter T. (17)
Lindblom, Annika (17)
Le Marchand, Loïc (17)
Hampe, Jochen (17)
Harrison, Tabitha A. (16)
Rennert, Gad (16)
Schoen, Robert E. (16)
Ulrich, Cornelia M. (16)
Hsu, Li (16)
Castellvi-Bel, Sergi (16)
Jenkins, Mark A. (15)
Murphy, Neil (15)
Sakoda, Lori C. (15)
Buchanan, Daniel D. (14)
Figueiredo, Jane C. (14)
Huyghe, Jeroen R. (14)
Zheng, Wei (14)
Li, Christopher I. (14)
Schafmayer, Clemens (14)
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University
Umeå University (30)
Lund University (26)
Karolinska Institutet (20)
Uppsala University (12)
University of Gothenburg (3)
Örebro University (2)
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Language
English (54)
Research subject (UKÄ/SCB)
Medical and Health Sciences (54)
Agricultural Sciences (1)

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