Evidence map›Paper›PMID 30602099›Full record

ArticleGenomics & informatics2018

HisCoM-GGI: Software for Hierarchical Structural Component Analysis of Gene-Gene Interactions.

Sungkyoung Choi, Sungyoung Lee, Taesung Park

Abstract read
In one paragraph

Article in Genomics & informatics, 2018. 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

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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

1 citing paper in PubMed.

  1. Article
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

3 authors.

Sungkyoung ChoiDepartment of Pharmacology, Yonsei University College of Medicine, Seoul 03722, Korea.
Sungyoung LeeCenter for Precision Medicine, Seoul National University Hospital, Seoul 03080, Korea.
Taesung ParkDepartment of Statistics, Seoul National University, Seoul 08826, Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Gene-gene interaction (GGI) analysis is known to play an important role in explain missing heritability issue. Many previous studies have already proposed software to analyze GGI, but most methods focus on a binary phenotype in case-control design. In this study, we developed 'Hierarchical structural CoMponent analysis of Gene-Gene Interactions' (HisCoM-GGI) software for gene-gene interaction analysis with a continuous phenotype. The HisCoM-GGI method considers hierarchical structural relationships between genes and SNPs, that enables both gene-level and SNP-level interaction analysis in a single model. Furthermore, this software accepts various type of genomic data, and supports a data management and multithreading to improve the efficiency of GWAS data analysis. We expect that the HisCoM-GGI software provides advanced accessibility to the researchers on the genetic interaction studies and a more effective way to understand biological mechanisms of complex diseases.

Indexed as

Gene-Gene interactionsGeneralized Structured Component AnalysisGenome-wide association studyRidge regression

Identifiers

PMID30602099
PMCPMC6440671

What OpenQuestion holds

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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.