Evidence map›Paper›PMID 29545466›Full record

ArticleGenetics2018

Reexamining Dis/Similarity-Based Tests for Rare-Variant Association with Case-Control Samples.

Charlotte Wang, Jung-Ying Tzeng, Pei-Zhen Wu, Martin Preisig, Chuhsing Kate Hsiao

Abstract read
In one paragraph

Article in Genetics, 2018. 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

5 authors.

Charlotte WangDepartment of Mathematics, Tamkang University, New Taipei City 251, Taiwan.
Jung-Ying TzengInstitute of Epidemiology and Preventive Medicine, National Taiwan University, Taipei 10055, Taiwan jytzeng@ncsu.edu ckhsiao@ntu.edu.tw.
Pei-Zhen WuInstitute of Epidemiology and Preventive Medicine, National Taiwan University, Taipei 10055, Taiwan.
Martin PreisigDepartment of Psychiatry, University Hospital of Lausanne, Site de Cery, 1008 Lausanne, Switzerland.
Chuhsing Kate HsiaoInstitute of Epidemiology and Preventive Medicine, National Taiwan University, Taipei 10055, Taiwan jytzeng@ncsu.edu ckhsiao@ntu.edu.tw.ORCID 0000-0003-4905-8484

Funding

Statistical Methods for Cancer Clinical TrialsP01CA142538 · NCI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI KOSOROK, MICHAEL R · 2010 to 2019
$21.3M
NCI NIH HHS P01 CA142538
6 · The paper itself

Abstract

A properly designed distance-based measure can capture informative genetic differences among individuals with different phenotypes and can be used to detect variants responsible for the phenotypes. To detect associated variants, various tests have been designed to contrast genetic dissimilarity or similarity scores of certain subject groups in different ways, among which the most widely used strategy is to quantify the difference between the within-group genetic dissimilarity/similarity (

Indexed as

Genetic Association StudiesGenetic VariationModels, GeneticModels, StatisticalAlgorithmsCase-Control StudiesComputer SimulationHumansPhenotypeSample Sizecross-sample comparisonU-statisticswithin-sample comparison

Identifiers

PMID29545466
PMCPMC5937191

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.