Evidence map›Paper›PMID 40886259›Full record

ArticleHuman genetics2025

BRCA-CN: a blockchain-based framework to support public variant databases sharing in multi-center community for diagnostic reference and China regulatory science.

Shoufang Qu, Rongzhi Liu, Shisen Li, Chuanfeng Huang, Yingqian Zhang, Xuan Gao, Pingping Dai, Chao Xu, Rutao Yang, Xuchao Li and 6 more

Abstract read
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In one paragraph

Article in Human genetics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

16 authors.

Shoufang QuDepartment of in Vitro Diagnostic Reagent, National Institutes for Food and Drug Control (NIFDC), No.2 Tiantanxili, Dongcheng District, Beijing, 10050, China.
Rongzhi LiuCenter for Medical Device Evaluation (CMDE), National Medical Products Administration (NMPA), No.50, Qixiang Road, Haidian District, Beijing, 100081, China.
Shisen LiMGI, BGI-Shenzhen, Shenzhen, 518083, China.
Chuanfeng HuangDivision of Physical and Chemical Testing, National Institutes for Food and Drug Control (NIFDC), No.2 Tiantanxili, Dongcheng District, Beijing, 10050, China.
Yingqian ZhangGeneplus-Beijing Institute, Beijing, 102206, China.
Xuan GaoGenePlus-Shenzhen Clinical Laboratory, ShenZhen, 518122, China.
Pingping DaiResearch and Development Department, Beijing GenePlus Clinical Laboratory Co., Ltd, Building No.2, 5Th Floor, PKU Care Industrial Park, Changping DistrictBeijing, 102206, China.
Chao XuCenter for Medical Device Evaluation (CMDE), National Medical Products Administration (NMPA), No.50, Qixiang Road, Haidian District, Beijing, 100081, China.
Rutao YangDepartment of Bioinformatics, Berry Oncology Corporation, Building 4, Yard 4, Life Garden Road, Science Park, Changping District, Beijing, 100102, China.
Xuchao LiDepartment of Bioinformatics, Amoy Diagnostics Co., Ltd., 39 Dingshan Road, Haicang District, Xiamen, 361027, China.
Guojun OuyangDepartment of Gene Research and Development, Guangzhou Darui Biotechnology Co., Ltd., 11 Nanxiang 3rd Road, Buliding 5, Huangpu District, Guangzhou, 510700, China.
Kang ShaoGuangdong Provincial Key Laboratory of Human Disease Genomics, Shenzhen Key Laboratory of Genomics, BGI-Shenzhen, Shenzhen, 518083, China.
Xiaoyan ChangDepartment of Pathology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Tsinghua University, Beijing, 100730, China. 13683662636@163.com.
Feng MuBGI-Shenzhen, Shenzhen, 518083, China. mufeng@mgi-tech.com.
Meng YangBGI-Shenzhen, Shenzhen, 518083, China. yangmeng1@mgi-tech.com.
Jie HuangDepartment of in Vitro Diagnostic Reagent, National Institutes for Food and Drug Control (NIFDC), No.2 Tiantanxili, Dongcheng District, Beijing, 10050, China. jhuang5522@nifdc.org.cn.

Funding

Guangdong Provincial Key Laboratory of Human Disease Genomics 2020B1212070028
6 · The paper itself

Abstract

High-quality, regulatory-grade databases for precise genetic variant interpretation are critically needed for Chinese populations, where existing fragmented databases impede clinical effectiveness evaluations. We developed BRCA-CN, a consortium blockchain-based governance framework specifically designed for BRCA gene variant interpretation in Chinese populations. Our framework compiled 66,485 variants from 6,031 samples across six Chinese laboratories. A 15-expert panel conducted systematic variant curation using unified interpretation standards based on ACMG/AMP guidelines. Smart contracts ensured data integrity and accountability throughout the consensus process. After deduplication, we established a comprehensive database of 950 unique variants (BRCA1: 365, BRCA2: 585), completing consensus reviews for 607 sites with 462 achieving definitive interpretations. Comparison with ClinVar revealed 83.6% concordance, with AI validation (PrimateAI, REVEL, EVE) confirming high interpretation accuracy. The blockchain framework successfully enabled secure cross-institutional collaboration while maintaining data sovereignty and regulatory compliance. BRCA-CN demonstrates the transformative potential of blockchain technology in genomic medicine, addressing critical challenges in data sharing, standardization, and regulatory oversight. This framework provides a robust foundation for clinical decision-making and establishes a replicable model for population-specific genomic databases. Access to the BRCA-CN portal, user guides, and test data is provided in the supplementary materials, available at: https://oxygen-chamber.mgi-tech.com/sdb2.

Indexed as

BlockchainBRCA1 ProteinBRCA2 ProteinDatabases, GeneticGenetic VariationInformation DisseminationAsian PeopleChinaFemaleGenetic TestingHumansBRCA1 ProteinBRCA1 protein, humanBRCA2 ProteinBRCA2 protein, human

Identifiers

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.