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  • 2021
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  • Niemi, MEK, et al. (creator_code:aut_t)
  • 2021
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  • Kanai, M, et al. (creator_code:aut_t)
  • 2023
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  • Huyghe, Jeroen R., et al. (creator_code:aut_t)
  • Discovery of common and rare genetic risk variants for colorectal cancer
  • 2019
  • record:In_t: Nature Genetics. - : Nature Publishing Group. - 1061-4036 .- 1546-1718. ; 51:1, s. 76-
  • swepub:Mat_article_t (swepub:level_refereed_t)abstract
    • To further dissect the genetic architecture of colorectal cancer (CRC), we performed whole-genome sequencing of 1,439 cases and 720 controls, imputed discovered sequence variants and Haplotype Reference Consortium panel variants into genome-wide association study data, and tested for association in 34,869 cases and 29,051 controls. Findings were followed up in an additional 23,262 cases and 38,296 controls. We discovered a strongly protective 0.3% frequency variant signal at CHD1. In a combined meta-analysis of 125,478 individuals, we identified 40 new independent signals at P < 5 x 10(-8), bringing the number of known independent signals for CRC to similar to 100. New signals implicate lower-frequency variants, Kruppel-like factors, Hedgehog signaling, Hippo-YAP signaling, long noncoding RNAs and somatic drivers, and support a role for immune function. Heritability analyses suggest that CRC risk is highly polygenic, and larger, more comprehensive studies enabling rare variant analysis will improve understanding of biology underlying this risk and influence personalized screening strategies and drug development.
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  • Huyghe, Jeroen R, et al. (creator_code:aut_t)
  • Genetic architectures of proximal and distal colorectal cancer are partly distinct
  • 2021
  • record:In_t: Gut. - : BMJ Publishing Group Ltd. - 0017-5749 .- 1468-3288. ; 70:7, s. 1325-1334
  • swepub:Mat_article_t (swepub:level_refereed_t)abstract
    • Objective: An understanding of the etiologic heterogeneity of colorectal cancer (CRC) is critical for improving precision prevention, including individualized screening recommendations and the discovery of novel drug targets and repurposable drug candidates for chemoprevention. Known differences in molecular characteristics and environmental risk factors among tumors arising in different locations of the colorectum suggest partly distinct mechanisms of carcinogenesis. The extent to which the contribution of inherited genetic risk factors for CRC differs by anatomical subsite of the primary tumor has not been examined.Design: To identify new anatomical subsite-specific risk loci, we performed genome-wide association study (GWAS) meta-analyses including data of 48 214 CRC cases and 64 159 controls of European ancestry. We characterised effect heterogeneity at CRC risk loci using multinomial modelling.Results: We identified 13 loci that reached genome-wide significance (p<5×10-8) and that were not reported by previous GWASs for overall CRC risk. Multiple lines of evidence support candidate genes at several of these loci. We detected substantial heterogeneity between anatomical subsites. Just over half (61) of 109 known and new risk variants showed no evidence for heterogeneity. In contrast, 22 variants showed association with distal CRC (including rectal cancer), but no evidence for association or an attenuated association with proximal CRC. For two loci, there was strong evidence for effects confined to proximal colon cancer.Conclusion: Genetic architectures of proximal and distal CRC are partly distinct. Studies of risk factors and mechanisms of carcinogenesis, and precision prevention strategies should take into consideration the anatomical subsite of the tumour.
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  • Marouli, Eirini, et al. (creator_code:aut_t)
  • Rare and low-frequency coding variants alter human adult height
  • 2017
  • record:In_t: Nature. - : Springer Science and Business Media LLC. - 0028-0836 .- 1476-4687. ; 542:7640, s. 186-190
  • swepub:Mat_article_t (swepub:level_refereed_t)abstract
    • Height is a highly heritable, classic polygenic trait with approximately 700 common associated variants identified through genome-wide association studies so far. Here, we report 83 height-associated coding variants with lower minor-allele frequencies (in the range of 0.1-4.8%) and effects of up to 2 centimetres per allele (such as those in IHH, STC2, AR and CRISPLD2), greater than ten times the average effect of common variants. In functional follow-up studies, rare height increasing alleles of STC2 (giving an increase of 1-2 centimetres per allele) compromised proteolytic inhibition of PAPP-A and increased cleavage of IGFBP-4 in vitro, resulting in higher bioavailability of insulin-like growth factors. These 83 height-associated variants overlap genes that are mutated in monogenic growth disorders and highlight new biological candidates (such as ADAMTS3, IL11RA and NOX4) and pathways (such as proteoglycan and glycosaminoglycan synthesis) involved in growth. Our results demonstrate that sufficiently large sample sizes can uncover rare and low-frequency variants of moderate-to-large effect associated with polygenic human phenotypes, and that these variants implicate relevant genes and pathways.
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  • Aglago, Elom K., et al. (creator_code:aut_t)
  • A Genetic Locus within the FMN1/GREM1 Gene Region Interacts with Body Mass Index in Colorectal Cancer Risk
  • 2023
  • record:In_t: Cancer Research. - : American Association For Cancer Research (AACR). - 0008-5472 .- 1538-7445. ; 83:15, s. 2572-2583
  • swepub:Mat_article_t (swepub:level_refereed_t)abstract
    • 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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Woods, Michael O. (33)
Peters, Ulrike (32)
Newcomb, Polly A. (31)
Campbell, Peter T. (31)
Chang-Claude, Jenny (30)
Brenner, Hermann (30)
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Hoffmeister, Michael (30)
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Slattery, Martha L. (29)
Giles, Graham G (28)
Jenkins, Mark A. (28)
Li, Li (28)
Moreno, Victor (28)
Gunter, Marc J. (27)
van Guelpen, Bethany (27)
Wolk, Alicja (26)
Berndt, Sonja I (26)
Gruber, Stephen B. (25)
Hsu, Li (25)
Casey, Graham (24)
Sakoda, Lori C. (24)
White, Emily (24)
Buchanan, Daniel D. (23)
Harrison, Tabitha A. (23)
Potter, John D. (22)
Rennert, Gad (22)
Schoen, Robert E. (22)
Ulrich, Cornelia M. (22)
Albanes, Demetrius (21)
Wu, Anna H. (21)
Le Marchand, Loïc (21)
Figueiredo, Jane C. (20)
Keku, Temitope O. (19)
Ogino, Shuji (19)
Platz, Elizabeth A. (19)
Lindblom, Annika (19)
Bishop, D Timothy (18)
Murphy, Neil (18)
Lin, Yi (17)
Gsur, Andrea (17)
Hampel, Heather (17)
Huyghe, Jeroen R. (17)
Pharoah, Paul D. P. (17)
Tangen, Catherine M (16)
Vodicka, Pavel (16)
Thibodeau, Stephen N (15)
Qu, Conghui (15)
Su, Yu-Ru (15)
Visvanathan, Kala (15)
Milne, Roger L. (15)
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