Author
Keun-Young Yoo
Other affiliations: Seoul National University
Bio: Keun-Young Yoo is an academic researcher from New Generation University College. The author has contributed to research in topics: Breast cancer & Cancer. The author has an hindex of 9, co-authored 9 publications receiving 3137 citations. Previous affiliations of Keun-Young Yoo include Seoul National University.
Papers
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University of Cambridge1, National Institutes of Health2, University of Southern California3, International Agency for Research on Cancer4, Academia Sinica5, Princess Anne Hospital6, St Mary's Hospital7, University of London8, The Breast Cancer Research Foundation9, Wellcome Trust Sanger Institute10, Peter MacCallum Cancer Centre11, QIMR Berghofer Medical Research Institute12, University of Copenhagen13, Curie Institute14, Nofer Institute of Occupational Medicine15, University of Helsinki16, Seoul National University17, University of Ulsan18, Harvard University19, Karolinska Institutet20, Agency for Science, Technology and Research21, Hannover Medical School22, Leiden University23, Erasmus University Rotterdam24, University of Minnesota25, University of Sheffield26, Mayo Clinic27, VU University Amsterdam28, Carlos III Health Institute29, University of Melbourne30, Cancer Council New South Wales31, University of Otago32, Cancer Council Victoria33, University of Tübingen34, Bosch35, German Cancer Research Center36, University of Eastern Finland37
TL;DR: To identify further susceptibility alleles, a two-stage genome-wide association study in 4,398 breast cancer cases and 4,316 controls was conducted, followed by a third stage in which 30 single nucleotide polymorphisms were tested for confirmation.
Abstract: Breast cancer exhibits familial aggregation, consistent with variation in genetic susceptibility to the disease. Known susceptibility genes account for less than 25% of the familial risk of breast cancer, and the residual genetic variance is likely to be due to variants conferring more moderate risks. To identify further susceptibility alleles, we conducted a two-stage genome-wide association study in 4,398 breast cancer cases and 4,316 controls, followed by a third stage in which 30 single nucleotide polymorphisms (SNPs) were tested for confirmation in 21,860 cases and 22,578 controls from 22 studies. We used 227,876 SNPs that were estimated to correlate with 77% of known common SNPs in Europeans at r2.0.5. SNPs in five novel independent loci exhibited strong and consistent evidence of association with breast cancer (P,1027). Four of these contain plausible causative genes (FGFR2, TNRC9, MAP3K1 and LSP1). At the second stage, 1,792 SNPs were significant at the P,0.05 level compared with an estimated 1,343 that would be expected by chance, indicating that many additional common susceptibility alleles may be identifiable by this approach.
2,288 citations
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University of Cambridge1, National Institutes of Health2, Princess Anne Hospital3, St Mary's Hospital4, Wellcome Trust Sanger Institute5, Science Applications International Corporation6, Fred Hutchinson Cancer Research Center7, Baylor College of Medicine8, University of Hawaii at Manoa9, University of Utah10, Marshfield Clinic11, American Cancer Society12, University of Copenhagen13, Hannover Medical School14, Russian Academy15, Seoul National University16, Leiden University17, Erasmus University Rotterdam18, Curie Institute19, Nofer Institute of Occupational Medicine20, University of Helsinki21, University of Melbourne22, QIMR Berghofer Medical Research Institute23, Netherlands Cancer Institute24, Carlos III Health Institute25, University of Cologne26, Heidelberg University27, German Cancer Research Center28, Technische Universität München29, Bosch30, University of Tübingen31, University of Ulm32, Karolinska Institutet33, University of Eastern Finland34, Mayo Clinic35, Cancer Council Victoria36, Harvard University37, Norwegian University of Science and Technology38, University of Minnesota39, Agency for Science, Technology and Research40, University of Sheffield41, China Medical University (Taiwan)42, Academia Sinica43, National Defense Medical Center44, University of California, Irvine45, University of Toronto46, Cancer Research UK47
TL;DR: Strong evidence is found for additional susceptibility loci on 3p and 17q and potential causative genes include SLC4A7 and NEK10 on3p and COX11 on 17q.
Abstract: Genome-wide association studies (GWAS) have identified seven breast cancer susceptibility loci, but these explain only a small fraction of the familial risk of the disease. Five of these loci were identified through a two-stage GWAS involving 390 familial cases and 364 controls in the first stage, and 3,990 cases and 3,916 controls in the second stage. To identify additional loci, we tested over 800 promising associations from this GWAS in a further two stages involving 37,012 cases and 40,069 controls from 33 studies in the CGEMS collaboration and Breast Cancer Association Consortium. We found strong evidence for additional susceptibility loci on 3p (rs4973768: per-allele OR = 1.11, 95% CI = 1.08-1.13, P = 4.1 x 10(-23)) and 17q (rs6504950: per-allele OR = 0.95, 95% CI = 0.92-0.97, P = 1.4 x 10(-8)). Potential causative genes include SLC4A7 and NEK10 on 3p and COX11 on 17q.
480 citations
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TL;DR: Kim et al. as discussed by the authors showed that seven breast cancer susceptibility loci, which were previously identified in European and/or Chinese populations, could be directly replicated in Korean women and provided strong evidence implicating rs13393577 at 2q34 as a new risk variant for breast cancer.
Abstract: Although approximately 25 common genetic susceptibility loci have been identified to be independently associated with breast cancer risk through genome-wide association studies (GWAS), the genetic risk variants reported to date only explain a small fraction of the heritability of breast cancer. Furthermore, GWAS-identified loci were primarily identified in women of European descent. To evaluate previously identified loci in Korean women and to identify additional novel breast cancer susceptibility variants, we conducted a three-stage GWAS that included 6,322 cases and 5,897 controls. In the validation study using Stage I of the 2,273 cases and 2,052 controls, seven GWAS-identified loci [5q11.2/MAP3K1 (rs889312 and rs16886165), 5p15.2/ROPN1L (rs1092913), 5q12/MRPS30 (rs7716600), 6q25.1/ESR1 (rs2046210 and rs3734802), 8q24.21 (rs1562430), 10q26.13/FGFR2 (rs10736303), and 16q12.1/TOX3 (rs4784227 and rs3803662)] were significantly associated with breast cancer risk in Korean women (Ptrend < 0.05). To identify additional genetic risk variants, we selected the most promising 17 SNPs in Stage I and replicated these SNPs in 2,052 cases and 2,169 controls (Stage II). Four SNPs were further evaluated in 1,997 cases and 1,676 controls (Stage III). SNP rs13393577 at chromosome 2q34, located in the Epidermal Growth Factor Receptor 4 (ERBB4) gene, showed a consistent association with breast cancer risk with combined odds ratios (95% CI) of 1.53 (1.37-1.70) (combined P for trend = 8.8 × 10-14). This study shows that seven breast cancer susceptibility loci, which were previously identified in European and/or Chinese populations, could be directly replicated in Korean women. Furthermore, this study provides strong evidence implicating rs13393577 at 2q34 as a new risk variant for breast cancer.
136 citations
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TL;DR: Considering interactions between BPA exposure and risks of breast cancer, it is suggested further enlarged biomonitoring studies of BPA to provide effective prevention against breast cancer.
Abstract: The incidence of breast cancer in Korea has been increasing for the last two decades (1983–2005), and now, breast cancer is ranked the leading cause of cancer in Korean women. Along with other endocrine disrupting chemicals (EDCs), bisphenol A (BPA) has been suspected as a potential risk factor for breast cancer. We studied potential associations between BPA exposure and breast cancer risks in Korean women by performing biomonitoring of BPA among breast cancer patients and controls (N = 167). Blood samples were collected between 1994 and 1997 and kept over 10 years in a freezer under well controlled conditions. The blood BPA levels determined by HPLC/FD, ranged between LOD (0.012 µg/L) and 13.87 µg/L (mean ± SD, 1.69 ± 2.57 µg/L; median, 0.043 µg/L). In age-matched subjects (N = 152), there were some associations between BPA levels and risks of breast cancer, such as age at first birth and null parity. However, there were no significant differences in blood BPA levels between the cases and the controls (P = 0.42). Considering interactions between BPA exposure and risks of breast cancer, we suggest further enlarged biomonitoring studies of BPA to provide effective prevention against breast cancer.
132 citations
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TL;DR: The results suggest that polymorphisms or haplotypes of the ATM gene play an important role in the development of lung cancer.
Abstract: The ataxia telangiectasia mutated (ATM) gene is known to be activated by DNA damage and involved in cell cycle arrest, apoptosis and DNA repair. Therefore, ATM gene polymorphisms may act as important factors predicting individual susceptibility to lung cancer. To evaluate the role of ATM gene polymorphisms in lung cancer development, genotypes of the ATM polymorphisms, 24518A>G, IVS21 2 77C>T, IVS61 2 55T>C, and IVS62 1 60G>A, were determined in 616 lung cancer patients and 616 cancer-free controls. When the effects of selected ATM genotypes were evaluated separately, only one ATM genotype (IVS62 1 60G>A) showed an association with lung cancer risk. Subjects with the A allele at the site (IVS62 1 60G>A) have significantly higher risk of lung cancer than those with the G allele [odds ratio (OR) 5 1.6, 95% confidence interval (CI) 1.1‐2.1]. When the haplotypes of four ATM single nucleotide polymorphism sites (24518A>G, IVS21 2 77C>T, IVS61 2 55T>C and IVS62 1 60G>A) were studied, the ATTA haplotype showed significantly increased risk of lung cancer compared with the GCCA haplotype, the most common haplotype (OR 5 7.6, 95% CI 1.7‐33.5). Furthermore, subjects with the (NN)TA haplotype showed highly significant and increased risk of lung cancer when compared with those without the (NN)TA haplotype (OR 5 13.2, 95% CI 3.1‐56.1). Therefore, our results suggest that polymorphisms or haplotypes of the ATM gene play an important role in the development of lung cancer.
76 citations
Cited by
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National Institutes of Health1, University of Chicago2, Duke University3, Harvard University4, University of Oxford5, GlaxoSmithKline6, Johns Hopkins University7, Yale University8, deCODE genetics9, Howard Hughes Medical Institute10, Princeton University11, Washington University in St. Louis12, University of California, Berkeley13, Stanford University14, University of Michigan15, Cornell University16, University of Washington17, University of Queensland18, Vanderbilt University19, North Carolina State University20, QIMR Berghofer Medical Research Institute21
TL;DR: This paper examined potential sources of missing heritability and proposed research strategies, including and extending beyond current genome-wide association approaches, to illuminate the genetics of complex diseases and enhance its potential to enable effective disease prevention or treatment.
Abstract: Genome-wide association studies have identified hundreds of genetic variants associated with complex human diseases and traits, and have provided valuable insights into their genetic architecture. Most variants identified so far confer relatively small increments in risk, and explain only a small proportion of familial clustering, leading many to question how the remaining, 'missing' heritability can be explained. Here we examine potential sources of missing heritability and propose research strategies, including and extending beyond current genome-wide association approaches, to illuminate the genetics of complex diseases and enhance its potential to enable effective disease prevention or treatment.
7,797 citations
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Wellcome Trust Centre for Human Genetics1, University of Oxford2, University of Michigan3, Fred Hutchinson Cancer Research Center4, Duke University5, University of Ottawa6, Tufts University7, Foundation for Research & Technology – Hellas8, Boston Children's Hospital9, Broad Institute10, Harvard University11
TL;DR: This Review highlights the knowledge gained, defines areas of emerging consensus, and describes the challenges that remain as researchers seek to obtain more complete descriptions of the susceptibility architecture of biomedical traits of interest and to translate the information gathered into improvements in clinical management.
Abstract: The past year has witnessed substantial advances in understanding the genetic basis of many common phenotypes of biomedical importance. These advances have been the result of systematic, well-powered, genome-wide surveys exploring the relationships between common sequence variation and disease predisposition. This approach has revealed over 50 disease-susceptibility loci and has provided insights into the allelic architecture of multifactorial traits. At the same time, much has been learned about the successful prosecution of association studies on such a scale. This Review highlights the knowledge gained, defines areas of emerging consensus, and describes the challenges that remain as researchers seek to obtain more complete descriptions of the susceptibility architecture of biomedical traits of interest and to translate the information gathered into improvements in clinical management.
2,908 citations
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TL;DR: In this paper, the coding exons of the family of 518 protein kinases were sequenced in 210 cancers of diverse histological types to explore the nature of the information that will be derived from cancer genome sequencing.
Abstract: AACR Centennial Conference: Translational Cancer Medicine-- Nov 4-8, 2007; Singapore
PL02-05
All cancers are due to abnormalities in DNA. The availability of the human genome sequence has led to the proposal that resequencing of cancer genomes will reveal the full complement of somatic mutations and hence all the cancer genes. To explore the nature of the information that will be derived from cancer genome sequencing we have sequenced the coding exons of the family of 518 protein kinases, ~1.3Mb DNA per cancer sample, in 210 cancers of diverse histological types. Despite the screen being directed toward the coding regions of a gene family that has previously been strongly implicated in oncogenesis, the results indicate that the majority of somatic mutations detected are “passengers”. There is considerable variation in the number and pattern of these mutations between individual cancers, indicating substantial diversity of processes of molecular evolution between cancers. The imprints of exogenous mutagenic exposures, mutagenic treatment regimes and DNA repair defects can all be seen in the distinctive mutational signatures of individual cancers. This systematic mutation screen and others have previously yielded a number of cancer genes that are frequently mutated in one or more cancer types and which are now anticancer drug targets (for example BRAF , PIK3CA , and EGFR ). However, detailed analyses of the data from our screen additionally suggest that there exist a large number of additional “driver” mutations which are distributed across a substantial number of genes. It therefore appears that cells may be able to utilise mutations in a large repertoire of potential cancer genes to acquire the neoplastic phenotype. However, many of these genes are employed only infrequently. These findings may have implications for future anticancer drug development.
2,737 citations
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TL;DR: Somatic mutations in primary lung adenocarcinoma for several tumour suppressor genes involved in other cancers and for sequence changes in PTPRD as well as the frequently deleted gene LRP1B are found.
Abstract: Determining the genetic basis of cancer requires comprehensive analyses of large collections of histopathologically well-classified primary tumours. Here we report the results of a collaborative study to discover somatic mutations in 188 human lung adenocarcinomas. DNA sequencing of 623 genes with known or potential relationships to cancer revealed more than 1,000 somatic mutations across the samples. Our analysis identified 26 genes that are mutated at significantly high frequencies and thus are probably involved in carcinogenesis. The frequently mutated genes include tyrosine kinases, among them the EGFR homologue ERBB4; multiple ephrin receptor genes, notably EPHA3; vascular endothelial growth factor receptor KDR; and NTRK genes. These data provide evidence of somatic mutations in primary lung adenocarcinoma for several tumour suppressor genes involved in other cancers--including NF1, APC, RB1 and ATM--and for sequence changes in PTPRD as well as the frequently deleted gene LRP1B. The observed mutational profiles correlate with clinical features, smoking status and DNA repair defects. These results are reinforced by data integration including single nucleotide polymorphism array and gene expression array. Our findings shed further light on several important signalling pathways involved in lung adenocarcinoma, and suggest new molecular targets for treatment.
2,615 citations
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TL;DR: It is concluded that when nonmonotonic dose-response curves occur, the effects of low doses cannot be predicted by the effects observed at high doses, and fundamental changes in chemical testing and safety determination are needed to protect human health.
Abstract: For decades, studies of endocrine-disrupting chemicals (EDCs) have challenged traditional concepts in toxicology, in particular the dogma of “the dose makes the poison,” because EDCs can have effects at low doses that are not predicted by effects at higher doses. Here, we review two major concepts in EDC studies: low dose and nonmonotonicity. Low-dose effects were defined by the National Toxicology Program as those that occur in the range of human exposures or effects observed at doses below those used for traditional toxicological studies. We review the mechanistic data for low-dose effects and use a weight-of-evidence approach to analyze five examples from the EDC literature. Additionally, we explore nonmonotonic dose-response curves, defined as a nonlinear relationship between dose and effect where the slope of the curve changes sign somewhere within the range of doses examined. We provide a detailed discussion of the mechanisms responsible for generating these phenomena, plus hundreds of examples from...
2,475 citations