Evidence map›Paper›PMID 35701113›Full record

ArticleBeijing da xue xue bao. Yi xue ban = Journal of Peking University. Health sciences2022

[Exploring the association between

X Chen, S Y Wang, E C Xue, X H Wang, H X Peng, M Fan, M Y Wang, Y Q Wu, X Y Qin, J Li and 6 more

Open access · greenAbstract read
In one paragraph

Article in Beijing da xue xue bao. Yi xue ban = Journal of Peking University. Health sciences, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact, top 92% 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

1 citing paper in PubMed, 0 citations in OpenAlex.

  1. 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 at 1 institution in 1 country.

X ChenDepartment of Epidemiology and Biostatistics, Peking University School of Public Health, Beijing 100191, China.
S Y WangDepartment of Epidemiology and Biostatistics, Peking University School of Public Health, Beijing 100191, China.
E C XueDepartment of Epidemiology and Biostatistics, Peking University School of Public Health, Beijing 100191, China.
X H WangDepartment of Epidemiology and Biostatistics, Peking University School of Public Health, Beijing 100191, China.
H X PengDepartment of Epidemiology and Biostatistics, Peking University School of Public Health, Beijing 100191, China.
M FanDepartment of Epidemiology and Biostatistics, Peking University School of Public Health, Beijing 100191, China.
M Y WangDepartment of Epidemiology and Biostatistics, Peking University School of Public Health, Beijing 100191, China.
Y Q WuDepartment of Epidemiology and Biostatistics, Peking University School of Public Health, Beijing 100191, China.
X Y QinDepartment of Epidemiology and Biostatistics, Peking University School of Public Health, Beijing 100191, China.
J LiDepartment of Epidemiology and Biostatistics, Peking University School of Public Health, Beijing 100191, China.
T WuDepartment of Epidemiology and Biostatistics, Peking University School of Public Health, Beijing 100191, China.
H P ZhuDepartment of Oral and Maxillofacial Surgery, Peking University School and Hospital of Stomatology & National Center of Stomatology & National Clinical Research Center for Oral Diseases & National Engineering Research Center of Oral Biomaterials and Digital Medical Devices & Beijing Key Laboratory of Digital Stomatology & NHC Research Center of Engineering and Technology for Computerized Dentistry & NMPA Key Laboratory for Dental Materials, Beijing 100081, China.
J LiDepartment of Pediatric Dentistry, Peking University School and Hospital of Stomatology & National Center of Stomatology & National Clinical Research Center for Oral Diseases & National Engineering Research Center of Oral Biomaterials and Digital Medical Devices & Beijing Key Laboratory of Digital Stomatology & NHC Research Center of Engineering and Technology for Computerized Dentistry & NMPA Key Laboratory for Dental Materials, Beijing 100081, China.
Z B ZhouDepartment of Oral and Maxillofacial Surgery, Peking University School and Hospital of Stomatology & National Center of Stomatology & National Clinical Research Center for Oral Diseases & National Engineering Research Center of Oral Biomaterials and Digital Medical Devices & Beijing Key Laboratory of Digital Stomatology & NHC Research Center of Engineering and Technology for Computerized Dentistry & NMPA Key Laboratory for Dental Materials, Beijing 100081, China.
D F ChenDepartment of Epidemiology and Biostatistics, Peking University School of Public Health, Beijing 100191, China.
Y H HuDepartment of Epidemiology and Biostatistics, Peking University School of Public Health, Beijing 100191, China.
Peking University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo explore the association between

methodsWhole-exome sequencing was conducted for twenty-two NSCL/P trios and Genome Analysis ToolKit (GATK) was used to identify DNM by comparing the alleles of the cases and their parents. Information of predictable functions was annotated to the locus with SnpEff. Enrichment analysis for DNM was conducted to test the difference between the actual number and the expected number of DNM, and to explore whether there were genes with more DNM than expected. NSCL/P-related genes indicated by previous studies with solid evidence were selected by literature reviewing. Protein-protein interactions analysis was conducted among the genes with protein-altering DNM and NSCL/P-related genes. R package "denovolyzeR" was used for the enrichment analysis (Bonferroni correction:

resultsA total of 339 908 SNPs were qualified for the subsequent analysis after quality control. The number of high confident DNM identified by GATK was 345. Among those DNM, forty-four DNM were missense mutations, one DNM was nonsense mutation, two DNM were splicing site mutations, twenty DNM were synonymous mutations and others were located in intron or intergenic regions. The results of enrichment analysis showed that the number of protein-altering DNM on the exome regions was larger than expected (

conclusionOur study provided novel insights into the development of NSCL/P and demonstrated that functional analyses of genes carrying DNM were warranted to understand the genetic architecture of complex diseases.

Indexed as

Cleft LipCleft PalateAsian PeopleCase-Control StudiesExome SequencingGenetic Predisposition to DiseaseGenome-Wide Association StudyGenotypeHumansMutationParentsPolymorphism, Single NucleotideDe novo mutationsEnrichment analysisNon-syndromic cleft lip with or without palateProtein-protein interactions

Identifiers

PMID35701113
PMCPMC9197716
OpenAlexW4282966039

What Socratic 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 Socratic graph.