Evidence map›Paper›PMID 41691317›Full record

ArticleHuman genomics2026

Genetic spectrum analysis of high-carrier-frequency monogenic disorders based on whole-exome sequencing in the Chinese general population.

Na Hao, Yan Lü, Jiaxin Bian, Kaili Yin, Rou Xiao, Ping Hu, Ying Peng, Mingtao Huang, Fengchang Qiao, Rui Xiao and 3 more

Abstract read
In one paragraph

Article in Human 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

13 authors.

Na Hao *Department of Obstetrics and Gynecology, National Clinical Research Center for Obstetric and Gynecologic Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Beijing, 100730, China.
Yan Lü *Department of Obstetrics and Gynecology, National Clinical Research Center for Obstetric and Gynecologic Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Beijing, 100730, China.
Jiaxin Bian *Biosan (Hangzhou) Clinical Laboratory, Hangzhou, 310000, China.
Kaili YinDepartment of Obstetrics and Gynecology, National Clinical Research Center for Obstetric and Gynecologic Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Beijing, 100730, China.
Rou XiaoDepartment of Obstetrics and Gynecology, First Medical Center of Chinese PLA General Hospital, Beijing, 100853, China.
Ping HuDepartment of Prenatal Diagnosis, Women's Hospital of Nanjing Medical University, Nanjing Women and Children's Healthcare Hospital, Nanjing, 210004, China.
Ying PengDepartment of Medical Genetics, Hunan Provincial Maternal and Child Healthcare Hospital, Changsha, 410078, China.
Mingtao HuangDepartment of Prenatal Diagnosis, Women's Hospital of Nanjing Medical University, Nanjing Women and Children's Healthcare Hospital, Nanjing, 210004, China.
Fengchang QiaoDepartment of Prenatal Diagnosis, Women's Hospital of Nanjing Medical University, Nanjing Women and Children's Healthcare Hospital, Nanjing, 210004, China.
Rui XiaoBiosan (Hangzhou) Clinical Laboratory, Hangzhou, 310000, China.
Yanbo LiuBiosan (Hangzhou) Clinical Laboratory, Hangzhou, 310000, China.
Yanqin YouSenior Department of Obstetrics and Gynecology, Chinese PLA General Hospital, Beijing, 100853, China. youyanqin76@163.com.
Yulin JiangDepartment of Obstetrics and Gynecology, National Clinical Research Center for Obstetric and Gynecologic Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Beijing, 100730, China. jiangyl@pumch.cn.

Funding

National High Level Hospital Clinical 385 Research Funding 2022-PUMCH-B-076National Key Research and Development Program of China 2021YFC1005301
6 · The paper itself

Abstract

backgroundCarrier screening serves as an effective measure for reproductive planning. Given ancestry/regional variations in genetic spectra, this study aimed to comprehensively identify high carrier frequency genes/variants in the Chinese population, thereby providing evidence for developing tailored expanded carrier screening (ECS) strategies. In this retrospective study, 5,018 healthy participants from Eastern China who visited Peking Union Medical College Hospital between January 2013 and December 2023 underwent ECS. Whole exome sequencing (WES) was employed to detect over 3,000 monogenic disorders with autosomal recessive (AR), X-linked (XL), or X-linked recessive (XLR) inheritance patterns, followed by comprehensive analysis of the WES data.

resultsThe cumulative carrier rate in the study population was 84% (4,213/5,018), with an average of 1.84 pathogenic/likely pathogenic variants per participant. The study identified 204 at-risk couples, representing an overall risk rate of 8.54%. Additionally, 62 high-frequency genes (carrier frequency ≥ 1/200) were detected, including some ACMG-recommended genes previously excluded from Chinese ECS panels due to unclear carrier frequencies. Further analysis proposed an optimized Chinese ECS strategy incorporating 200–300 key high-frequency pathogenic genes for panel size design and utilizing hybridization capture sequencing to maximize panel efficiency.

conclusionThis study revealed distinctive genetic characteristics of the Chinese population and provides foundation for developing population-specific ECS strategies.

Indexed as

East Asian PeopleExome SequencingGenetic Carrier ScreeningGenetic Diseases, InbornChinaFemaleGene FrequencyGenetic TestingHeterozygoteHumansMaleMutationRetrospective StudiesExpanded carrier screening (ECS)Genetic spectraHigh-frequency genesReproductive planningWhole exome sequencing (WES)

Identifiers

PMID41691317
PMCPMC13011434

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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.