Evidence map›Paper›PMID 32522283›Full record

ArticleHuman genomics2020

Whole-genome sequencing of Chinese centenarians reveals important genetic variants in aging WGS of centenarian for genetic analysis of aging.

Shuhua Shen, Chao Li, Luwei Xiao, Xiaoming Wang, Hang Lv, Yuan Shi, Yixue Li, Qi Huang

Abstract read
In one paragraph

Article in Human genomics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 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

8 authors.

Shuhua ShenThe Center of Health Management and Disease Prevention, The First Affiliated Hospital of Zhejiang Chinese Medical University, Zhejiang, China.
Chao LiShanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai, China.
Luwei XiaoThe Center of Health Management and Disease Prevention, The First Affiliated Hospital of Zhejiang Chinese Medical University, Zhejiang, China.
Xiaoming WangThe Center of Health Management and Disease Prevention, The First Affiliated Hospital of Zhejiang Chinese Medical University, Zhejiang, China.
Hang LvCentral Laboratory, The First Affiliated Hospital of Zhejiang Chinese Medical University, Zhejiang, China.
Yuan ShiCentral Laboratory, The First Affiliated Hospital of Zhejiang Chinese Medical University, Zhejiang, China.
Yixue LiShanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai, China. yxli@scbit.org.
Qi HuangThe Center of Health Management and Disease Prevention, The First Affiliated Hospital of Zhejiang Chinese Medical University, Zhejiang, China. linda0358@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundGenetic research on longevity has provided important insights into the mechanism of aging and aging-related diseases. Pinpointing import genetic variants associated with aging could provide insights for aging research.

methodsWe performed a whole-genome sequencing in 19 centenarians to establish the genetic basis of human longevity.

resultsUsing SKAT analysis, we found 41 significantly correlated genes in centenarians as compared to control genomes. Pathway enrichment analysis of these genes showed that immune-related pathways were enriched, suggesting that immune pathways might be critically involved in aging. HLA typing was next performed based on the whole-genome sequencing data obtained. We discovered that several HLA subtypes were significantly overrepresented.

conclusionsOur study indicated a new mechanism of longevity, suggesting potential genetic variants for further study.

Indexed as

Genetic VariationGenome-Wide Association StudyAged, 80 and overAgingAsian PeopleFemaleGenetic TestingHumansMaleWhole Genome SequencingCentenarianLongevityWGS

Identifiers

PMID32522283
PMCPMC7285530

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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.