Evidence map›Paper›PMID 34928375›Full record

ArticleNucleic acids research2022

PAGEANT: personal access to genome and analysis of natural traits.

Jie Huang, Zhi-Sheng Liang, Stefano Pallotti, Janice M Ranson, David J Llewellyn, Zhi-Jie Zheng, Daniel A King, Qiang Zhou, Houfeng Zheng, Valerio Napolioni

Abstract read
In one paragraph

Article in Nucleic acids research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Jie HuangDepartment of Global Health, Peking University School of Public Health, Beijing, China.
Zhi-Sheng LiangDepartment of Global Health, Peking University School of Public Health, Beijing, China.
Stefano PallottiGenetics and Animal Breeding Group, School of Pharmacy, University of Camerino, Camerino, Italy.
Janice M RansonCollege of Medicine and Health, University of Exeter, Exeter, UK.
David J LlewellynCollege of Medicine and Health, University of Exeter, Exeter, UK.
Zhi-Jie ZhengDepartment of Global Health, Peking University School of Public Health, Beijing, China.
Daniel A KingNorthwell Health Cancer Institute and Feinstein Institutes for Research, Lake Success, NY, USA.
Qiang ZhouShenzhen Center for Prehospital Care, Shenzhen, China.
Houfeng ZhengDiseases & Population (DaP) Geninfo Lab., School of Life Sciences, Westlake University, Hangzhou, China.
Valerio NapolioniGenomic and Molecular Epidemiology (GAME)Lab., School of Biosciences and Veterinary Medicine, University of Camerino, Camerino, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

GWASs have identified numerous genetic variants associated with a wide variety of diseases, yet despite the wide availability of genetic testing the insights that would enhance the interpretability of these results are not widely available to members of the public. As a proof of concept and demonstration of technological feasibility, we developed PAGEANT (Personal Access to Genome & Analysis of Natural Traits), usable through Graphical User Interface or command line-based version, aiming to serve as a protocol and prototype that guides the overarching design of genetic reporting tools. PAGEANT is structured across five core modules, summarized by five Qs: (i) quality assurance of the genetic data; (ii) qualitative assessment of genetic characteristics; (iii) quantitative assessment of health risk susceptibility based on polygenic risk scores and population reference; (iv) query of third-party variant databases (e.g. ClinVAR and PharmGKB) and (v) quick Response code of genetic variants of interest. Literature review was conducted to compare PAGEANT with academic and industry tools. For 2504 genomes made publicly available through the 1000 Genomes Project, we derived their genomic characteristics for a suite of qualitative and quantitative traits. One exemplary trait is susceptibility to COVID-19, based on the most up-to-date scientific findings reported.

Indexed as

Genome, HumanSoftwareCOVID-19Genetic VariationGenome-Wide Association StudyGenomicsHumans

Identifiers

PMID34928375
PMCPMC9023285

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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.