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Xin Yi Wong
National University of Singapore
5Publications
1H-index
2Citations
Publications 5
Newest
#1Si Ming Fung (NUS: National University of Singapore)H-Index: 1
#2Xin Yi Wong (NUS: National University of Singapore)H-Index: 1
Last.Hwee Lin Wee (NUS: National University of Singapore)H-Index: 20
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Background: SNP risk information can potentially improve the accuracy of breast cancer risk prediction. We aim to review and assess the performance of SNP-enhanced risk prediction models. Methods: Studies that reported area under the ROC curve (AUC) and/or net reclassification improvement (NRI) for both traditional and SNP-enhanced risk models were identified. Meta-analyses were conducted to compare across all models and within similar baseline risk models. Results: Twenty-six of 406 studies wer...
1 CitationsSource
#1Xin Yi Wong (NUS: National University of Singapore)H-Index: 1
Last.Hwee Lin Wee (NUS: National University of Singapore)H-Index: 20
view all 8 authors...
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#1Xin Yi Wong (NUS: National University of Singapore)H-Index: 1
#2Kok Joon Chong (University Health System)H-Index: 4
Last.Hwee Lin Wee (NUS: National University of Singapore)H-Index: 20
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Background Breast cancer is the top cancer by incidence and mortality in Singaporean women. Mammography is by far its best screening tool, but current recommended age and interval may not yield the most benefit. Recent studies have demonstrated the potential of single nucleotide polymorphisms (SNPs) to improve discriminatory accuracy of breast cancer risk assessment models. This study was conducted to understand Singaporean women’s views towards breast cancer screening and SNPs gene testing to g...
1 CitationsSource
#1Xin Yi Wong (NUS: National University of Singapore)H-Index: 1
Last.Hwee Lin Wee (NUS: National University of Singapore)H-Index: 20
view all 8 authors...
Source
#1Xin Yi Wong (NUS: National University of Singapore)H-Index: 1
Last.Hwee Lin Wee (NUS: National University of Singapore)H-Index: 20
view all 5 authors...
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