Evidence map›Paper›PMID 23572138›Full record

ArticleHuman genetics2013

Comprehensively identifying and characterizing the missing gene sequences in human reference genome with integrated analytic approaches.

Geng Chen, Charles Wang, Leming Shi, Weida Tong, Xiongfei Qu, Jiwei Chen, Jianmin Yang, Caiping Shi, Long Chen, Peiying Zhou and 2 more

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Article in Human genetics, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

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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

7 citing papers in PubMed.

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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

12 authors.

Geng ChenCenter for Bioinformatics and Computational Biology, Shanghai Key Laboratory of Regulatory Biology, China.
Charles Wang
Leming Shi
Weida Tong
Xiongfei Qu
Jiwei Chen
Jianmin Yang
Caiping Shi
Long Chen
Peiying Zhou
Bingxin Lu
Tieliu Shi

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The human reference genome is still incomplete and a number of gene sequences are missing from it. The approaches to uncover them, the reasons causing their absence and their functions are less explored. Here, we comprehensively identified and characterized the missing genes of human reference genome with RNA-Seq data from 16 different human tissues. By using a combined approach of genome-guided transcriptome reconstruction coupled with genome-wide comparison, we uncovered 3.78 and 2.37 Mb transcribed regions in the human genome assemblies of Celera and HuRef either missed from their homologous chromosomes of NCBI human reference genome build 37.2 or partially or entirely absent from the reference. We further identified a significant number of novel transcript contigs in each tissue from de novo transcriptome assembly that are unalignable to NCBI build 37.2 but can be aligned to at least one of the genomes from Celera, HuRef, chimpanzee, macaca or mouse. Our analyses indicate that the missing genes could result from genome misassembly, transposition, copy number variation, translocation and other structural variations. Moreover, our results further suggest that a large portion of these missing genes are conserved between human and other mammals, implying their important biological functions. Totally, 1,233 functional protein domains were detected in these missing genes. Collectively, our study not only provides approaches for uncovering the missing genes of a genome, but also proposes the potential reasons causing genes missed from the genome and highlights the importance of uncovering the missing genes of incomplete genomes.

Indexed as

Evolution, MolecularGene Expression ProfilingGenome, HumanMolecular Sequence AnnotationAnimalsHumansMicePan troglodytesReference ValuesRNASequence Analysis, RNATissue DistributionRNA

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Registered trials

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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.