Evidence map›Paper›PMID 27412093›Full record

ArticleBioinformatics (Oxford, England)2016

LAMPLINK: detection of statistically significant SNP combinations from GWAS data.

Aika Terada, Ryo Yamada, Koji Tsuda, Jun Sese

Open access · hybridAbstract read
In one paragraph

Article in Bioinformatics (Oxford, England), 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.8field-weighted citation impact, top 13% 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

9 citing papers in PubMed, 21 citations in OpenAlex.

  1. Detecting Interactions in High-Dimensional Data Using Cross Leverage Scores.Biometrical journal. Biometrische Zeitschrift · 2024
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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

4 authors at 3 institutions in 1 country.

Aika TeradaPRESTO, Japan Science and Technology Agency, Saitama 332-0012, Japan.
Ryo YamadaCenter for Genomic Medicine, Graduate School of Medicine, Kyoto University, Kyoto, 606-8507 Japan.
Koji TsudaDepartment of Computational Biology and Medical Science, Graduate School of Frontier Sciences, The University of Tokyo, Chiba 277-8561, Japan.
Jun SeseBiotechnology Research Institute for Drug Discovery, National Institute of Advanced Industrial Science and Technology (AIST), Tokyo 135-0064, Japan.
National Institute of Advanced Industrial Science and Technology · JPKyoto University · JPThe University of Tokyo · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

One of the major issues in genome-wide association studies is to solve the missing heritability problem. While considering epistatic interactions among multiple SNPs may contribute to solving this problem, existing software cannot detect statistically significant high-order interactions. We propose software named LAMPLINK, which employs a cutting-edge method to enumerate statistically significant SNP combinations from genome-wide case-control data. LAMPLINK is implemented as a set of additional functions to PLINK, and hence existing procedures with PLINK can be applicable. Applied to the 1000 Genomes Project data, LAMPLINK detected a combination of five SNPs that are statistically significantly accumulated in the Japanese population. AVAILABILITY AND IMPLEMENTATION: LAMPLINK is available at http://a-terada.github.io/lamplink/ CONTACT: terada@cbms.k.u-tokyo.ac.jp or sese.jun@aist.go.jpSupplementary information: Supplementary data are available at Bioinformatics online.

Indexed as

Genome-Wide Association StudyPolymorphism, Single NucleotideSoftwareAnimalsGenomeHumans

Identifiers

PMID27412093
PMCPMC5181558
OpenAlexW2462021937

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

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 OpenQuestion graph.