Evidence map›Paper›PMID 26575303›Full record

ArticleBiometrics2016

Testing and estimation in marker-set association study using semiparametric quantile regression kernel machine.

Dehan Kong, Arnab Maity, Fang-Chi Hsu, Jung-Ying Tzeng

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Biometrics, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.9field-weighted citation impact, top 24% 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

5 citing papers in PubMed, 11 citations in OpenAlex.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors at 1 institution in 1 country.

Dehan KongDepartment of Biostatistics, University of North Carolina, Chapel Hill, North Carolina 27599, U.S.A.
Arnab MaityDepartment of Statistics, North Carolina State University, Raleigh, North Carolina 27695, U.S.A.
Fang-Chi HsuDepartment of Biostatistical Sciences, Wake Forest University, Winston-Salem, NC 27157, U.S.A.
Jung-Ying TzengDepartment of Statistics and Bioinformatics Research Center, North Carolina State University, Raleigh, North Carolina 27695, U.S.A.
National Cheng Kung University · TW

Funding

Statistical Methods for Cancer Clinical TrialsP01CA142538 · NCI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI DAVIDIAN, MARIE, KOSOROK, MICHAEL R · 2010 to 2019
$21.3M
Pharmacogenomic studies in VISP: results & implications for clinical trial designU01HG005160 · NHGRI · UNIVERSITY OF VIRGINIA · PI SALE, MICHELE M, WORRALL, BRADFORD B · 2009 to 2011
$1.9M
Genome-wide Haplotype Association Analysis in Mental DisordersR01MH084022 · NIMH · NORTH CAROLINA STATE UNIVERSITY RALEIGH · PI TZENG, JUNG-YING · 2009 to 2011
$1.1M
Statistical Methods for Analysis of High-Dimensional Gene and Environment DataR00ES017744 · NIEHS · NORTH CAROLINA STATE UNIVERSITY RALEIGH · PI MAITY, ARNAB · 2011 to 2013
$663k
NCI NIH HHS P01 CA142538NHGRI NIH HHS U01 HG005160NIEHS NIH HHS R00 ES017744NIMH NIH HHS R01 MH084022
6 · The paper itself

Abstract

We consider quantile regression for partially linear models where an outcome of interest is related to covariates and a marker set (e.g., gene or pathway). The covariate effects are modeled parametrically and the marker set effect of multiple loci is modeled using kernel machine. We propose an efficient algorithm to solve the corresponding optimization problem for estimating the effects of covariates and also introduce a powerful test for detecting the overall effect of the marker set. Our test is motivated by traditional score test, and borrows the idea of permutation test. Our estimation and testing procedures are evaluated numerically and applied to assess genetic association of change in fasting homocysteine level using the Vitamin Intervention for Stroke Prevention Trial data.

Indexed as

BiomarkersModels, GeneticModels, StatisticalRegression AnalysisAlgorithmsBiometryClinical Trials as TopicComputer SimulationGenetic Association StudiesHomocysteineHumansLinear ModelsPolymorphism, Single NucleotideBiomarkersHomocysteineBootstrapGenetic marker-set associationKernel machinesPermutationQuantile regressionSemiparametricSmoothing parameterTesting

Identifiers

PMID26575303
PMCPMC4870165
OpenAlexW2177629791

What OpenQuestion holds

Textmetadata
LicenceTDM
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.