Evidence map›Paper›PMID 29129848›Full record

ReviewProceedings of the Japan Academy. Series B, Physical and biological sciences2017

Significance of functional disease-causal/susceptible variants identified by whole-genome analyses for the understanding of human diseases.

Yuki Hitomi, Katsushi Tokunaga

Abstract readReview
In one paragraph

Review in Proceedings of the Japan Academy. Series B, Physical and biological sciences, 2017. 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
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.

  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

2 authors.

Yuki HitomiDepartment of Human Genetics, Graduate School of Medicine, the University of Tokyo.
Katsushi TokunagaDepartment of Human Genetics, Graduate School of Medicine, the University of Tokyo.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Human genome variation may cause differences in traits and disease risks. Disease-causal/susceptible genes and variants for both common and rare diseases can be detected by comprehensive whole-genome analyses, such as whole-genome sequencing (WGS), using next-generation sequencing (NGS) technology and genome-wide association studies (GWAS). Here, in addition to the application of an NGS as a whole-genome analysis method, we summarize approaches for the identification of functional disease-causal/susceptible variants from abundant genetic variants in the human genome and methods for evaluating their functional effects in human diseases, using an NGS and in silico and in vitro functional analyses. We also discuss the clinical applications of the functional disease causal/susceptible variants to personalized medicine.

Indexed as

Genetic VariationAnimalsDiseaseGenetic Predisposition to DiseaseGenomicsHigh-Throughput Nucleotide SequencingHumansPrecision Medicinefunctional disease-causal/susceptible variantsgenome-wide association study (GWAS)next-generation sequencing (NGS) technologywhole-exome sequencing (WES)whole-genome sequencing (WGS)

Identifiers

PMID29129848
PMCPMC5743846

What Socratic holds

Textmetadata
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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.