Evidence map›Paper›PMID 34472134›Full record

ArticleGenetic epidemiology2021

Multi-marker genetic association and interaction tests with interval-censored survival outcomes.

Di Wu, Chenxi Li, Qing Lu

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Genetic epidemiology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. 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.

Di WuDepartment of Epidemiology and Biostatistics, Michigan State University, East Lansing, Michigan, USA.
Chenxi LiDepartment of Epidemiology and Biostatistics, Michigan State University, East Lansing, Michigan, USA.ORCID 0000-0003-0701-0757
Qing LuDepartment of Biostatistics, University of Florida, Gainesville, Florida, USA.

Funding

UNIVERSITY OF PITTSBURGH CLINICAL AND TRANSLATIONAL SCIENCE INSTITUTE: BPCAUL1RR024153 · NCRR · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI REIS, STEVEN E · 2006 to 2011
$73.9M
Psychosocial Influences on Rural Children's Oral HealthR01DE014899 · NIDCR · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI FOXMAN, BETSY, MARAZITA, MARY L. · 2002 to 2020
$39.9M
Fluoride & Other Factors in Childhood and Adolescent Bone DevelopmentR01DE012101 · NIDCR · UNIVERSITY OF IOWA · PI LEVY, STEVEN M. · 1998 to 2013
$11.9M
THERMAL ASSEMBLY OF MINERAL/COLLAGEN BIOMATERIALSP60DE013076 · NIDCR · UNIVERSITY OF IOWA · PI MESSERSMITH, PHILLIP B · 1999 to 2003
$8.4M
Genome Wide Association Coordinating CenterU01HG004446 · NHGRI · UNIVERSITY OF WASHINGTON · PI WEIR, BRUCE S. · 2007 to 2011
$6.6M
LONGITUDINAL STUDY OF FLUORIDE EXPOSURES &FLUORIDER01DE009551 · NIDCR · UNIVERSITY OF IOWA · PI LEVY, STEVEN M. · 1991 to 2008
$4.7M
Computational Efficient Statistical Tools for Analyzing Substance Dependence Sequencing DataR01DA043501 · NIDA · UNIVERSITY OF FLORIDA · PI LU, QING · 2017 to 2021
$2.1M
Dental Caries: Whole Genome Association and Gene x Environment StudiesU01DE018903 · NIDCR · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI MARAZITA, MARY L. · 2007 to 2010
$1.2M
Methods and Software for High-dimensional Risk Prediction ResearchR01LM012848 · NLM · UNIVERSITY OF FLORIDA · PI LU, QING · 2018 to 2021
$1.2M
Survival genetics methods for genetic association studies of early childhood cariesR56DE030437 · NIDCR · MICHIGAN STATE UNIVERSITY · PI LI, CHENXI · 2021 to 2021
$312k
New Survival Analysis Methods for Longitudinal Studies of Childhood Dental CariesR03DE027429 · NIDCR · MICHIGAN STATE UNIVERSITY · PI LI, CHENXI · 2018 to 2019
$296k
NCRR NIH HHS UL1 RR024153NHGRI NIH HHS HHSN268200782096CNHGRI NIH HHS U01 HG004446NIDA NIH HHS R01 DA043501NIDCR NIH HHS P60 DE013076NIDCR NIH HHS R01 DE009551NIDCR NIH HHS R01 DE012101NIDCR NIH HHS R01 DE014899NIDCR NIH HHS R03 DE027429NIDCR NIH HHS R56 DE030437NIDCR NIH HHS U01 DE018903NLM NIH HHS R01 LM012848
6 · The paper itself

Abstract

The development of set-based genetic-survival association tests has been focusing on right-censored survival outcomes. However, interval-censored failure time data arise widely from health science studies, especially those on the development of chronic diseases. In this paper, we proposed a suite of set-based genetic association and interaction tests for interval-censored survival outcomes under a unified weighted-V-statistic framework. Besides dealing with interval censoring, the new tests can account for genetic effect heterogeneity and accommodate left truncation of survival outcomes. Simulation studies showed that the new tests perform well in terms of size and power under various scenarios and that the new interaction test is more powerful than the standard likelihood ratio test for testing gene-gene/gene-environment interactions. The practical utility of the developed tests was illustrated by a genome-wide association study of age to early childhood caries.

Indexed as

Genome-Wide Association StudyModels, GeneticChild, PreschoolComputer SimulationHumansLikelihood FunctionsSurvival Analysisgenetic heterogeneityinterval censoringleft truncationset-based testweighted V statistic

Identifiers

PMID34472134
PMCPMC8604754

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.