Evidence map›Paper›PMID 42288740›Full record

ArticleBMC genomics2026

Pathogenic variation distribution of ACMG 3.2 list genes in 11 ethnic groups in southwest China.

Yunyan Luo, Changgui Lei, Anmin Chi, Fei Luo, Chanjuan Wang, Ting Zhang, Yanxiang Xiao, Keren Shan, Xiaolan Qi, Xin Jin and 2 more

Abstract read
In one paragraph

Article in BMC genomics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

12 authors.

Yunyan Luo *Key Laboratory of Endemic and Ethnic Diseases, Ministry of Education & Key Laboratory of Molecular Biology & Collaborative Innovation Center for Prevention and Control of Endemic and Ethnic Regional Diseases Co-constructed by the Province and Ministry, Guizhou Medical University, Guiyang, 561113, China. 13379622428@163.com.
Changgui Lei *BGI Research, Shenzhen, 518083, China.
Anmin Chi *Key Laboratory of Endemic and Ethnic Diseases, Ministry of Education & Key Laboratory of Molecular Biology & Collaborative Innovation Center for Prevention and Control of Endemic and Ethnic Regional Diseases Co-constructed by the Province and Ministry, Guizhou Medical University, Guiyang, 561113, China.
Fei LuoBGI Research, Guiyang, 550000, China.
Chanjuan WangKey Laboratory of Endemic and Ethnic Diseases, Ministry of Education & Key Laboratory of Molecular Biology & Collaborative Innovation Center for Prevention and Control of Endemic and Ethnic Regional Diseases Co-constructed by the Province and Ministry, Guizhou Medical University, Guiyang, 561113, China.
Ting ZhangKey Laboratory of Endemic and Ethnic Diseases, Ministry of Education & Key Laboratory of Molecular Biology & Collaborative Innovation Center for Prevention and Control of Endemic and Ethnic Regional Diseases Co-constructed by the Province and Ministry, Guizhou Medical University, Guiyang, 561113, China.
Yanxiang XiaoBGI Research, Guiyang, 550000, China.
Keren ShanKey Laboratory of Endemic and Ethnic Diseases, Ministry of Education & Key Laboratory of Molecular Biology & Collaborative Innovation Center for Prevention and Control of Endemic and Ethnic Regional Diseases Co-constructed by the Province and Ministry, Guizhou Medical University, Guiyang, 561113, China.
Xiaolan QiKey Laboratory of Endemic and Ethnic Diseases, Ministry of Education & Key Laboratory of Molecular Biology & Collaborative Innovation Center for Prevention and Control of Endemic and Ethnic Regional Diseases Co-constructed by the Province and Ministry, Guizhou Medical University, Guiyang, 561113, China.
Xin JinBGI Research, Shenzhen, 518083, China. jinxin@genomics.cn.
Shuang ZengKey Laboratory of Endemic and Ethnic Diseases, Ministry of Education & Key Laboratory of Molecular Biology & Collaborative Innovation Center for Prevention and Control of Endemic and Ethnic Regional Diseases Co-constructed by the Province and Ministry, Guizhou Medical University, Guiyang, 561113, China. zengshuang@genomics.cn.
Yan HeKey Laboratory of Endemic and Ethnic Diseases, Ministry of Education & Key Laboratory of Molecular Biology & Collaborative Innovation Center for Prevention and Control of Endemic and Ethnic Regional Diseases Co-constructed by the Province and Ministry, Guizhou Medical University, Guiyang, 561113, China. annieheyan@gmc.edu.cn.

Funding

Guizhou Provincial Science and Technology Program Project QKH Platform Talents-GCC[2023]035Guizhou Provincial Science and Technology Program Project Social Development Field [2019] 2807Natural Science Foundation of China 32360154, 31560306Natural Science Foundation of China 82360813QKH Platform Talents-CXTD[2023] 003QKH Platform Talents-CXTD[2023] QKH-ZK-2022-401Science and Technology Fund of Guizhou Provincial Health Commission gzwkj2024-056The project of Key Laboratory of Endemic and Ethnic Diseases, Ministry of Education, Guizhou Medical University FZSW-2022-001
6 · The paper itself

Abstract

In recent years, human whole genome sequencing projects in China and abroad have made accidental discoveries in different populations. However, the genetic variants present in the multiethnic population of the southwest region of China remain unclear. The purpose of this study is to elucidate the frequency distribution of different types of genetic variations, particularly pathogenic variants, in ACMG v3.2 list genes among 11 ethnic minority populations from the Guizhou Multi-ethnic Genome Database (GMGD). We collected whole-genome sequencing data from 476 individuals across these 11 GMGD populations and classified the effects of the identified variants according to the ACMG/AMP guideline by GeneBe tools [1]. A total of 521 variants were identified after variant filter, of which 1.5%(8/521) of genetic variants were classified as high confidence pathogenic or potentially pathogenic. The most common P/LP variants were ATP7B: rs762866453, ATP7B: rs191312027 and we observed significant population differences. The three novel variants (ATP7B: rs778732681, PALB2 :rs876660147, GAA: rs765718882) exhibited low to moderate allele frequencies (0.106%-0.42%) in the GMGD population but were undetected in mainstream databases. This study provides information on pathogenic/likely pathogenic variations and their frequencies for 73 disease-related genes across 11 ethnic groups, contributing valuable insights for the advancement of genomic medicine. To the best of our knowledge, this represents the first analysis of clinically incidental genetic variants among these 11 ethnic groups and offers further insights into interethnic genetic differences.

Indexed as

EthnicityGenetic VariationChinaDatabases, GeneticEast Asian PeopleGene FrequencyGenome, HumanHumansPolymorphism, Single NucleotideWhole Genome SequencingACMG/AMP guidelineClinically incidental genetic variantsGMGD populations

Identifiers

PMID42288740
PMCPMC13488281

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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.