دورية أكاديمية

Evaluation of three polygenic risk score models for the prediction of breast cancer risk in Singapore Chinese.

التفاصيل البيبلوغرافية
العنوان: Evaluation of three polygenic risk score models for the prediction of breast cancer risk in Singapore Chinese.
المؤلفون: Chan CHT; Division of Medical Sciences, Humphrey Oei Institute of Cancer Research, National Cancer Centre, Singapore., Munusamy P; Division of Medical Sciences, Humphrey Oei Institute of Cancer Research, National Cancer Centre, Singapore., Loke SY; Division of Medical Sciences, Humphrey Oei Institute of Cancer Research, National Cancer Centre, Singapore., Koh GL; Division of Medical Sciences, Humphrey Oei Institute of Cancer Research, National Cancer Centre, Singapore., Yang AZY; Division of Medical Sciences, Humphrey Oei Institute of Cancer Research, National Cancer Centre, Singapore., Law HY; DNA Diagnostic and Research Laboratory, KK Women's and Children's Hospital, Singapore., Yoon CS; DNA Diagnostic and Research Laboratory, KK Women's and Children's Hospital, Singapore., Wong CY; Department of General Surgery, Singapore General Hospital, Singapore., Yong WS; Department of Surgical Oncology, National Cancer Centre, Singapore., Wong NS; Department of Medical Oncology, National Cancer Centre, Singapore.; Oncocare Cancer Centre, Gleneagles Medical Centre, Singapore., Ng RCH; Department of Medical Oncology, National Cancer Centre, Singapore., Ong KW; Department of Surgical Oncology, National Cancer Centre, Singapore., Madhukumar P; Department of Surgical Oncology, National Cancer Centre, Singapore., Oey CL; Department of Surgical Oncology, National Cancer Centre, Singapore., Ho GH; Department of Surgical Oncology, National Cancer Centre, Singapore.; Koong and Ho Surgery Centre, Singapore., Tan PH; Department of Pathology, Singapore General Hospital, Singapore., Tan MH; Department of Medical Oncology, National Cancer Centre, Singapore.; Institute of Bioengineering and Nanotechnology, Singapore.; Lucence Diagnostics Pte Ltd, Singapore., Ang P; Department of Medical Oncology, National Cancer Centre, Singapore.; Oncocare Cancer Centre, Gleneagles Medical Centre, Singapore., Yap YS; Department of Medical Oncology, National Cancer Centre, Singapore., Lee ASG; Division of Medical Sciences, Humphrey Oei Institute of Cancer Research, National Cancer Centre, Singapore.; Department of Physiology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore.; Office of Clinical and Academic Faculty Affairs, Duke-NUS Graduate Medical School, Singapore.
المصدر: Oncotarget [Oncotarget] 2018 Jan 31; Vol. 9 (16), pp. 12796-12804. Date of Electronic Publication: 2018 Jan 31 (Print Publication: 2018).
نوع المنشور: Journal Article
اللغة: English
بيانات الدورية: Publisher: Impact Journals Country of Publication: United States NLM ID: 101532965 Publication Model: eCollection Cited Medium: Internet ISSN: 1949-2553 (Electronic) Linking ISSN: 19492553 NLM ISO Abbreviation: Oncotarget Subsets: PubMed not MEDLINE
أسماء مطبوعة: Original Publication: Albany, N.Y. : Impact Journals
مستخلص: Genome-wide association studies (GWAS) have proven highly successful in identifying single nucleotide polymorphisms (SNPs) associated with breast cancer (BC) risk. The majority of these studies are on European populations, with limited SNP association data in other populations. We genotyped 51 GWAS-identified SNPs in two independent cohorts of Singaporean Chinese. Cohort 1 comprised 1294 BC cases and 885 controls and was used to determine odds ratios (ORs); Cohort 2 had 301 BC cases and 243 controls for deriving polygenic risk scores (PRS). After age-adjustment, 11 SNPs were found to be significantly associated with BC risk. Five SNPs were present in <1% of Cohort 1 and were excluded from further PRS analysis. To assess the cumulative effect of the remaining 46 SNPs on BC risk, we generated three PRS models: Model-1 included 46 SNPs; Model-2 included 11 statistically significant SNPs; and Model-3 included the SNPs in Model-2 but excluded SNPs that were in strong linkage disequilibrium with the others. Across Models-1, -2 and -3, women in the highest PRS quartile had the greatest ORs of 1.894 (95% CI = 1.157-3.100), 2.013 (95% CI = 1.227-3.302) and 1.751 (95% CI = 1.073-2.856) respectively, suggesting a direct correlation between PRS and BC risk. Given the potential of PRS in BC risk stratification, our findings suggest the need to tailor the selection of SNPs to be included in an ethnic-specific PRS model.
Competing Interests: CONFLICTS OF INTEREST The authors declare no conflicts of interests.
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فهرسة مساهمة: Keywords: breast cancer; genotyping; polygenic risk score; risk loci; single-nucleotide polymorphism
تواريخ الأحداث: Date Created: 20180322 Latest Revision: 20191120
رمز التحديث: 20231215
مُعرف محوري في PubMed: PMC5849174
DOI: 10.18632/oncotarget.24374
PMID: 29560110
قاعدة البيانات: MEDLINE
الوصف
تدمد:1949-2553
DOI:10.18632/oncotarget.24374