Evidence map›Paper›PMID 32337810›Full record

ArticleMolecular genetics & genomic medicine2020

Panel-based targeted exome sequencing reveals novel candidate susceptibility loci for age-related cataracts in Chinese Cohort.

Jian-Kang Li, Li-Li Li, Wei Li, Zi-Wei Wang, Feng-Juan Gao, Fang-Yuan Hu, Sheng-Hai Zhang, Shou-Fang Qu, Jie Huang, Lu-Sheng Wang and 2 more

Open access · goldAbstract read
In one paragraph

Article in Molecular genetics & genomic medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
0.3field-weighted citation impact, top 47% 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

3 citing papers in PubMed, 1 synthesis or guideline pooled it, 4 citations in OpenAlex.

  1. Pooled it
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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 at 6 institutions in 2 countries.

Jian-Kang LiDept of Computer Science, City University of Hong Kong, Kowloon, Hong Kong.
Li-Li LiNational Institutes of food and drug Control (NIFDC), Beijing, P. R. China.
Wei LiBGI-Shenzhen, Shenzhen, China.
Zi-Wei WangBGI-Shenzhen, Shenzhen, China.
Feng-Juan GaoEye Institute, Eye and ENT Hospital, College of Medicine, Fudan University, Shanghai, China.
Fang-Yuan HuEye Institute, Eye and ENT Hospital, College of Medicine, Fudan University, Shanghai, China.
Sheng-Hai ZhangEye Institute, Eye and ENT Hospital, College of Medicine, Fudan University, Shanghai, China.
Shou-Fang QuNational Institutes of food and drug Control (NIFDC), Beijing, P. R. China.
Jie HuangNational Institutes of food and drug Control (NIFDC), Beijing, P. R. China.
Lu-Sheng WangDept of Computer Science, City University of Hong Kong, Kowloon, Hong Kong.
Ji-Hong WuEye Institute, Eye and ENT Hospital, College of Medicine, Fudan University, Shanghai, China.
Fang ChenBGI-Shenzhen, Shenzhen, China.
National Institutes for Food and Drug Control · CNBGI Group (China) · CNEye & ENT Hospital of Fudan University · CNScience and Technology Commission of Shanghai Municipality · CNUniversity of Chinese Academy of Sciences · CNCity University of Hong Kong · HK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAge-related cataracts (ARC) is the most common blinding eye disease worldwide, and its incidence tend to become younger. However, the relationship between genetic factors and mechanisms is not fully understood. The aim of the study was to further clarify the relationship between ARC and genetic mechanisms in East Asian populations and to elucidate the pathogenesis.

methodsThe study collected 191 sporadic cataracts and 208 healthy people from the eastern provinces of China, with an average age of about 60 years. All participants were subjected to a comprehensive ophthalmic clinical examination and peripheral blood samples were collected and their genomic DNA was extracted. Mutations were screened among 792 candidate genes to enhance understanding of the disease through targeted capture and high-throughput sequencing.

resultsWe identified novel candidate susceptibility gene, which may serve as a potential susceptibility factor leading to an increase in the incidence of age-related cataracts. Three novel loci are associated with age-related cataracts significant significance: rs129882 in DBH (p = 5.27E-07, odds ratio = 3.9), rs1800280 in DMD (p = 2.85E-06, odds ratio = 1.4) and rs2871776 in ATP13A2 (p = 4.18E-05, odds ratio = 0.04). Gene-gene interaction analysis revealed that the most significant interactions between genes include the interaction between DBH and TUB (rs17847537 in TUB, rs129882 in DBH, p-value = 2.12E-14), and the interaction between DBH and DMD (rs1800280 in DMD, rs129882 in DBH, p-value = 2.12E-14). Pathway analysis shows that the most significant processes are concentrated in response to light stimulation (adjusted p-Value = 5.56E-03), response to radiation (adjusted P-Value = 5.56E-03), abiotic stimulus (adjusted p-Value = 5.56E-03). eQTL analysis shows that DBH rs129882 could regulate the expression of DBH mRNA in various tissues including retina.

conclusionOur study indicates rs129882 and rs1800280 loci are associated with age-related cataracts, which enlarge the gene map of age-related cataracts.

Indexed as

ExomePolymorphism, Single NucleotideQuantitative Trait LociAdaptor Proteins, Signal TransducingAgedCataractDopamine beta-HydroxylaseDystrophinEpistasis, GeneticFemaleHumansMaleMiddle AgedProton-Translocating ATPasesAdaptor Proteins, Signal TransducingATP13A2 protein, humanDMD protein, humanDopamine beta-HydroxylaseDystrophinProton-Translocating ATPasesTUB protein, humanage-related cataractspanel-based targeted exome sequencingsusceptibility

Identifiers

PMID32337810
PMCPMC7336732
OpenAlexW3017786100

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

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.