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Multicenter Study
. 2021 Apr 26;16(4):e0250102.
doi: 10.1371/journal.pone.0250102. eCollection 2021.

Cohort profile: The Singapore Breast Cancer Cohort (SGBCC), a multi-center breast cancer cohort for evaluation of phenotypic risk factors and genetic markers

Affiliations
Multicenter Study

Cohort profile: The Singapore Breast Cancer Cohort (SGBCC), a multi-center breast cancer cohort for evaluation of phenotypic risk factors and genetic markers

Peh Joo Ho et al. PLoS One. .

Abstract

This article aims to provide a detailed description of the Singapore Breast Cancer Cohort (SGBCC), an ongoing multi-ethnic cohort established with the overarching goal to identify genetic markers for breast cancer risk, prognosis and treatment response, as well as to understand the ethnic differences in disease risk and outcome in an Asian setting. The cohort comprises of breast cancer patients aged 21 years and above from six public hospitals which diagnose and treat nearly 76% breast cancer cases in Singapore. Self-reported data on sociodemographic and lifestyle, reproductive risk factors, medical history and family history of breast or ovarian cancer is collected using a structured questionnaire. Clinical data on tumour characteristics, and treatment modalities are obtained through medical record. Bio-specimens (blood or saliva) is collected at recruitment. Follow-up on survival information is done through routine linkage with the Registry of Births and Deaths. As of 31 December 2016, 7,768 subjects have been recruited to the study with 76% subjects contributed bio-specimens. The SGBCC provides a valuable platform which offers a unique, large and rich resource for new research ideas on breast cancer related phenotypic risk factors and genetic markers.

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Conflict of interest statement

The authors have declared that no competing interests exist.

Figures

Fig 1
Fig 1. Participants who were genotyped using OncoArray, who were whole exome sequenced using Roche SeqCap EZ Human Exome v3.0, and/or had information on methylation levels measured using Illumina Infinium MethylationEPIC BeadChip.
*All patients who were genotyped were part of Breast Cancer Risk after Diagnostic Gene Sequencing (BRIDGES).
Fig 2
Fig 2. Flow chart of study participants as of 31 December 2016.
Fig 3
Fig 3. Overall survival of breast cancer patients by stratified case type (incident, prevalent) and stage at diagnosis (A and B), or ethnicity (C and D).
Fig 4
Fig 4. Distribution of polygenic risk scores for cases and controls by ethnicity groups.

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