Associated Papers
The Potential of Genetics in Identifying Women at Lower Risk of Breast Cancer.
Bolze A et al.
Jama Oncology, 2024
38153744 (PubMed )
Supplement: jamaoncol-e235468-s002.xlsx › eTable_4
Ethnic-specificity, evolution origin and deleteriousness of Asian BRCA variation revealed by over 7500 BRCA variants derived from Asian population.
Qin Z et al.
International Journal of Cancer, 2023
36385461 (PubMed )
Supplement: IJC-152-1159-s006.xlsx › BRCA2
BRCA1/BRCA2 mutation spectrum analysis in South Asia: a systematic review.
Kharel S et al.
The Journal of International Medical Research, 2022
35000471 (PubMed )
Supplement: sj-pdf-3-imr-10.1177_03000605211070757.pdf
REVEL and BayesDel outperform other in silico meta-predictors for clinical variant classification.
Tian Y et al.
Scientific Reports, 2019
31484976 (PubMed )
Supplement: 41598_2019_49224_MOESM2_ESM.xlsx › Sheet1
A Bayesian framework for efficient and accurate variant prediction.
Qian D et al.
Plos One, 2018
30212499 (PubMed )
Supplement: pone.0203553.s008.xlsx › Variants
Germline BRCA1 and BRCA2 deleterious mutations and variants of unknown clinical significance associated with breast/ovarian cancer: a report from North India.
Mehta A et al.
Cancer Management and Research, 2018
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