Evidence map›Paper›PMID 36535936›Full record

ArticleNPJ genomic medicine2022

A robust pipeline for ranking carrier frequencies of autosomal recessive and X-linked Mendelian disorders.

Wenjuan Zhu, Chen Wang, Nandita Mullapudi, Yanan Cao, Lin Li, Ivan Fai Man Lo, Stephen Kwok-Wing Tsui, Xiao Chen, Yong Lei, Shen Gu

Open access · goldAbstract read
In one paragraph

Article in NPJ genomic medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
2.2field-weighted citation impact, top 11% 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

8 citing papers in PubMed, 10 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. Article
  8. Article
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

10 authors at 6 institutions in 3 countries.

Wenjuan ZhuCentre for Cardiovascular Genomics & Medicine, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR, China.
Chen WangSchool of Biomedical Sciences, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR, China.
Nandita MullapudiBionano Genomics, San Diego, CA, 92121, USA.
Yanan CaoDepartment of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, National Clinical Research Centre for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission, State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Lin LiNational Research Center for Translational Medicine, National Key Scientific Infrastructure for Translational Medicine, Shanghai Jiao Tong University, Shanghai, China.
Ivan Fai Man LoDepartment of Health, Clinical Genetic Service, Hong Kong SAR, China.
Stephen Kwok-Wing TsuiSchool of Biomedical Sciences, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR, China.
Xiao ChenDr. Li Dak Sum-Yip Yio Chin Center for Stem Cells and Regenerative Medicine and Department of Orthopedic Surgery of The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.
Yong LeiSchool of Medicine, The Chinese University of Hong Kong (Shenzhen), Shenzhen, China.ORCID http://orcid.org/0000-0003-4864-7017
Shen GuSchool of Biomedical Sciences, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR, China. shengu@cuhk.edu.hk.ORCID http://orcid.org/0000-0003-3107-1218
Chinese University of Hong Kong · HKShanghai Jiao Tong University · CNBioNano Genomics (United States) · USChinese University of Hong Kong, Shenzhen · CNDepartment of Health · CNSecond Affiliated Hospital of Zhejiang University · CN

Funding

Food and Health Bureau of the Government of the Hong Kong Special Administrative Region | Health and Medical Research Fund (HMRF) 08191216National Natural Science Foundation of China (National Science Foundation of China) 32170583National Natural Science Foundation of China (National Science Foundation of China) 82202045Research Grants Council, University Grants Committee (RGC, UGC) 24101921
6 · The paper itself

Abstract

Single gene disorders are individually rare but collectively common leading causes of neonatal and pediatric morbidity and mortality. Both parents or the mothers of affected individuals with autosomal recessive or X-linked recessive diseases, respectively, are carrier(s). Carrier frequencies of recessive diseases can vary drastically among different ethnicities. This study established a robust pipeline for estimating and ranking carrier frequencies of all known 2699 recessive genes based on genome-wide sequencing data in healthy individuals. The discovery gnomAD cohort contained sequencing data on 76,156 genomes and 125,748 exomes from individuals with seven ethnicity backgrounds. The three validation cohorts composed of the SG10K Project with 4810 genomes on East Asian and South Asian, the ChinaMAP project with 10,588 Chinese genomes, and the WBBC pilot project with 4480 Chinese genomes. Within each cohort, comprehensive selection criteria for various kinds of deleterious variants were instituted, including known pathogenic variants (Type 1), presumably loss-of-function changes (Type 2), predicted deleterious missense variants (Type 3), and potentially harmful in-frame INDELs (Type 4). Subsequently, carrier frequencies of the 2699 genes were calculated and ranked based on ethnicity-specific carrier rates of Type 1 to Type 4 variants. Comparison of results from different cohorts with similar ethnicity background exhibited high degree of correlation, particularly between the ChinaMAP and the WBBC cohorts (Pearson correlation coefficient R = 0.92), confirming the validity of our variant selection criteria and the overall analysis pipeline.

Identifiers

PMID36535936
PMCPMC9763236
OpenAlexW4312095061

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.