Evidence map›Paper›PMID 37450097›Full record

ArticleJournal of assisted reproduction and genetics2023

Carrier burden of over 300 diseases in Han Chinese identified by expanded carrier testing of 300 couples using assisted reproductive technology.

Song-Chang Chen, Xuan-You Zhou, Shu-Yuan Li, Ming-Min Zhao, He-Feng Huang, Jia Jia, Chen-Ming Xu

Open access · greenAbstract read
In one paragraph

Article in Journal of assisted reproduction and genetics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 1 pooled it
8.1field-weighted citation impact, top 2% of its field
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

13 citing papers in PubMed, 1 synthesis or guideline pooled it, 14 citations in OpenAlex.

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  13. [Carrier screening for 223 monogenic diseases in Chinese population: a multi-center study in 33 104 individuals].Nan fang yi ke da xue xue bao = Journal of Southern Medical University · 2024
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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

7 authors at 1 institution in 1 country.

Song-Chang ChenObstetrics and Gynecology Hospital, Institute of Reproduction and Development, Fudan University, 566 Fangxie Road, Huangpu District, Shanghai, 200001, China.
Xuan-You ZhouObstetrics and Gynecology Hospital, Institute of Reproduction and Development, Fudan University, 566 Fangxie Road, Huangpu District, Shanghai, 200001, China.
Shu-Yuan LiInternational Peace Maternity and Child Health Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, 200030, China.
Ming-Min ZhaoFujungenetics Biotechnology Co., Ltd., No. 70 of Tongchuan Road, Putuo District, Shanghai, 200333, China.
He-Feng HuangObstetrics and Gynecology Hospital, Institute of Reproduction and Development, Fudan University, 566 Fangxie Road, Huangpu District, Shanghai, 200001, China.
Jia JiaFujungenetics Biotechnology Co., Ltd., No. 70 of Tongchuan Road, Putuo District, Shanghai, 200333, China. jiajiajj93@126.com.
Chen-Ming XuObstetrics and Gynecology Hospital, Institute of Reproduction and Development, Fudan University, 566 Fangxie Road, Huangpu District, Shanghai, 200001, China. xuchenmingxcmn@126.com.ORCID http://orcid.org/0000-0002-1667-3539
Shanghai Jiao Tong University · CN

Funding

National Key R&D Program of China 21YFC2701002, 2018YFC1004900National Natural Science Foundation of China 81971344, 81771638 and 81901495Shanghai Municipal Commission of Health and family planning 202140110, 20215Y0216Shanghai Municipal Health Commission 202140110, GW-10.1-XK07Shanghai "Rising Stars of Medical Talent" Youth Development Program Clinical Laboratory Practitioners Program 201972
6 · The paper itself

Abstract

backgroundExpanded carrier screening (ECS) has become a common practice for identifying carriers of monogenic diseases. However, existing large gene panels are not well-tailored to Chinese populations. In this study, ECS testing for pathogenic variants of both single-nucleotide variants (SNVs) and copy number variants (CNVs) in 330 genes implicated in 342 autosomal recessive (AR) or X-linked diseases was carried out. We assessed the differences in allele frequencies specific to the Chinese population who have used assisted reproductive technology (ART) and the important genes to screen for in this population. METHODOLOGY: A total of 300 heterosexual couples were screened by our ECS panel using next-generation sequencing. A customed bioinformatic algorithm was used to analyze SNVs and CNVs. Guidelines from the American College of Medical Genetics and Genomics and the Association for Molecular Pathology were adapted for variant interpretation. Pathogenic or likely pathogenic (P/LP) SNVs located in high homology regions/deletions and duplications of one or more exons in length were independently verified with other methods.

results64.83% of the patients were identified to be carriers of at least one of 342 hereditary conditions. We identified 622 P/LP variants, 4.18% of which were flagged as CNVs. The rate of at-risk couples was 3%. A total of 149 AR diseases accounted for 64.05% of the cumulative carrier rate, and 48 diseases had a carrier rate above 1/200 in the test.

conclusionAn expanded screening of inherited diseases by incorporating different variant types, especially CNVs, has the potential to reduce the occurrence of severe monogenic diseases in the offspring of patients using ART in China.

Indexed as

East Asian PeopleGenetic Carrier ScreeningGenetic Diseases, InbornReproductive Techniques, AssistedChinaExonsGene FrequencyGenetic TestingHumansCopy number variantsExpanded carrier screeningNext-generation sequencingSingle-nucleotide variants

Identifiers

PMID37450097
PMCPMC10440320
OpenAlexW4384401418

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.