Evidence map›Paper›PMID 30214655›Full record

ArticleThe annals of applied statistics2018

ADAPTIVE-WEIGHT BURDEN TEST FOR ASSOCIATIONS BETWEEN QUANTITATIVE TRAITS AND GENOTYPE DATA WITH COMPLEX CORRELATIONS.

Xiaowei Wu, Ting Guan, Dajiang J Liu, Luis G León Novelo, Dipankar Bandyopadhyay

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in The annals of applied statistics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

5 authors.

Xiaowei WuDepartment of Statistics, Virginia Tech, 250 Drillfield Drive, MC0439, Blacksburg, VA 24061, USA.
Ting GuanDepartment of Statistics, Virginia Tech, 250 Drillfield Drive, MC0439, Blacksburg, VA 24061, USA.
Dajiang J LiuDepartment of Public Health Sciences, Hershey Institute of Personalized Medicine, Pennsylvania State University College of Medicine, Hershey, PA 17033, USA.
Luis G León NoveloDepartment of Biostatistics, School of Public Health, University of Texas Health Science Center, Houston, TX 77030, USA.
Dipankar BandyopadhyayDepartment of Biostatistics, Virginia Commonwealth University, Richmond, VA 23298, USA.

Funding

Virus Vector Shared ResourceP30CA016059 · NCI · VIRGINIA COMMONWEALTH UNIVERSITY · PI Renato Martins · 1985 to 2026
$51.0M
Supplement: Spatiotemporal models for periodontal disease monitoring and recall frequenciesR01DE024984 · NIDCR · VIRGINIA COMMONWEALTH UNIVERSITY · PI BANDYOPADHYAY, DIPANKAR, REICH, BRIAN J. · 2015 to 2017
$1.2M
Exploring tooth survival using Bayesian spatial modelsR03DE023372 · NIDCR · VIRGINIA COMMONWEALTH UNIVERSITY · PI BANDYOPADHYAY, DIPANKAR, REICH, BRIAN J. · 2014 to 2015
$322k
NCI NIH HHS P30 CA016059NIDCR NIH HHS R01 DE024984NIDCR NIH HHS R03 DE023372
6 · The paper itself

Abstract

High-throughput sequencing has often been used to screen samples from pedigrees or with population structure, producing genotype data with complex correlations rendered from both familial relation and linkage disequilibrium. With such data, it is critical to account for these genotypic correlations when assessing the contribution of variants by gene or pathway. Recognizing the limitations of existing association testing methods, we propose

Indexed as

adaptive weightbi-directional genotypic correlationburden testGenetic association testkernel testPrimary 62F03secondary 62P10

Identifiers

PMID30214655
PMCPMC6133321

What Socratic 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 Socratic graph.