Evidence map›Paper›PMID 25854837›Full record

Observational studyBiometrics2015

Set-based tests for genetic association in longitudinal studies.

Zihuai He, Min Zhang, Seunggeun Lee, Jennifer A Smith, Xiuqing Guo, Walter Palmas, Sharon L R Kardia, Ana V Diez Roux, Bhramar Mukherjee

Abstract readObservational Study
PubMed Full text at PMC Publisher
In one paragraph

Observational study in Biometrics, 2015. 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
–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

9 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Distributed Lag Interaction Models with Two Pollutants.Journal of the Royal Statistical Society. Series C, Applied statistics · 2019
    Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Set-Based Tests for the Gene-Environment Interaction in Longitudinal Studies.Journal of the American Statistical Association · 2017
    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

9 authors.

Zihuai HeDepartment of Biostatistics, University of Michigan, Ann Arbor, Michigan, U.S.A.
Min ZhangDepartment of Biostatistics, University of Michigan, Ann Arbor, Michigan, U.S.A.
Seunggeun LeeDepartment of Biostatistics, University of Michigan, Ann Arbor, Michigan, U.S.A.
Jennifer A SmithDepartment of Epidemiology, University of Michigan, Ann Arbor, Michigan, U.S.A.
Xiuqing GuoDepartment of Pediatrics, Harbor-UCLA Medical Center, Torrance, California, U.S.A.
Walter PalmasDepartment of Medicine, Columbia University, New York, New York, U.S.A.
Sharon L R KardiaDepartment of Epidemiology, University of Michigan, Ann Arbor, Michigan, U.S.A.
Ana V Diez RouxDepartment of Epidemiology, Drexel University, Philadelphia, U.S.A.
Bhramar MukherjeeDepartment of Biostatistics, University of Michigan, Ann Arbor, Michigan, U.S.A.

Funding

UCLA Clinical and Translational Science InstituteUL1TR000124 · NCATS · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI DUBINETT, STEVEN M. · 2012 to 2015
$57.0M
CTSA INFRASTRUCTURE FOR PEDIATRIC RESEARCHUL1RR024156 · NCRR · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI GINSBERG, HENRY N · 2006 to 2011
$53.0M
Transgenic & Knock-out MouseP30DK063491 · NIDDK · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI PETER J TONTONOZ · 2003 to 2026
$40.4M
Social-biological predictors of heterogeneity in CVD risk in African AmericansP60MD002249 · NIMHD · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI DIEZ ROUX, ANA VICTORIA, MENDES DE LEON, CARLOS F. · 2007 to 2016
$15.0M
Neighborhoods and CVD Risk in a Multiethnic Cohort (RMI)R01HL071759 · NHLBI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI DIEZ ROUX, ANA VICTORIA, LISABETH, LYNDA D · 2003 to 2013
$4.8M
Stress, Gene-Environment Interaction and Cardiovascular DiseaseR01HL101161 · NHLBI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI DIEZ ROUX, ANA VICTORIA, NEEDHAM, BELINDA L. · 2010 to 2013
$4.1M
Cigarette Smoke and Susceptibility to Influenza InfectionR01HL095163 · NHLBI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI JASPERS, ILONA, NOAH, TERRY L · 2009 to 2013
$2.0M
Adjunctive Use of Apyrase to Fibrinolytic TherapyR44HL095169 · NHLBI · APT THERAPEUTICS, INC. · PI CHEN, RIDONG · 2012 to 2013
$1.3M
SLEEP AND ENTRAINMENT OF SCN FUNCTIONR01HL064278 · NHLBI · CASE WESTERN RESERVE UNIVERSITY · PI STROHL, KINGMAN PERKINS · 1999 to 2002
$871k
SUBCLINICAL CARDIOVASCULAR DISEASE STUDYN01HC095166 · HC · UNIVERSITY OF VERMONT &ST AGRIC COLLEGE · PI TRACY, RUSSELL P · 1999 to 2001
$758k
Statistical methods for rare variant effects in sequencing association studiesR00HL113164 · NHLBI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI LEE, SEUNGGEUN SHAWN · 2013 to 2015
$710k
SUBCLINICAL CARDIOVASCULAR DISEASE STUDY-FIELD CENTERN01HC095162 · HC · JOHNS HOPKINS UNIVERSITY · PI SZKLO, MOYSES A · 1999 to 2000
$694k
NCATS NIH HHS UL1 TR000124NCRR NIH HHS UL1 RR024156NCRR NIH HHS UL1-RR-024156NHLBI NIH HHS HL101161NHLBI NIH HHS N01 HC095159NHLBI NIH HHS N01 HC095160NHLBI NIH HHS N01 HC095161NHLBI NIH HHS N01 HC095162NHLBI NIH HHS N01 HC095163NHLBI NIH HHS N01 HC095164NHLBI NIH HHS N01 HC095165NHLBI NIH HHS N01 HC095166NHLBI NIH HHS N01 HC095167NHLBI NIH HHS N01 HC095168NHLBI NIH HHS N01 HC095169NHLBI NIH HHS N01-HC-95159NHLBI NIH HHS N01-HC-95160NHLBI NIH HHS N01-HC-95161NHLBI NIH HHS N01-HC-95162NHLBI NIH HHS N01-HC-95163NHLBI NIH HHS N01-HC-95164NHLBI NIH HHS N01-HC-95165NHLBI NIH HHS N01-HC-95166NHLBI NIH HHS N01-HC-95167NHLBI NIH HHS N01-HC-95168NHLBI NIH HHS N01-HC-95169NHLBI NIH HHS N02 HL064278NHLBI NIH HHS R00 HL113164NHLBI NIH HHS R00HL113164NHLBI NIH HHS R01 HL071759NHLBI NIH HHS R01 HL101161NIDDK NIH HHS P30 DK063491NIEHS NIH HHS ES020811NIEHS NIH HHS R21 ES020811NIMHD NIH HHS 2P60MD002249NIMHD NIH HHS P60 MD002249
6 · The paper itself

Abstract

Genetic association studies with longitudinal markers of chronic diseases (e.g., blood pressure, body mass index) provide a valuable opportunity to explore how genetic variants affect traits over time by utilizing the full trajectory of longitudinal outcomes. Since these traits are likely influenced by the joint effect of multiple variants in a gene, a joint analysis of these variants considering linkage disequilibrium (LD) may help to explain additional phenotypic variation. In this article, we propose a longitudinal genetic random field model (LGRF), to test the association between a phenotype measured repeatedly during the course of an observational study and a set of genetic variants. Generalized score type tests are developed, which we show are robust to misspecification of within-subject correlation, a feature that is desirable for longitudinal analysis. In addition, a joint test incorporating gene-time interaction is further proposed. Computational advancement is made for scalable implementation of the proposed methods in large-scale genome-wide association studies (GWAS). The proposed methods are evaluated through extensive simulation studies and illustrated using data from the Multi-Ethnic Study of Atherosclerosis (MESA). Our simulation results indicate substantial gain in power using LGRF when compared with two commonly used existing alternatives: (i) single marker tests using longitudinal outcome and (ii) existing gene-based tests using the average value of repeated measurements as the outcome.

Indexed as

Longitudinal StudiesModels, StatisticalAtherosclerosisComputer SimulationData Interpretation, StatisticalGenetic Association StudiesGenetic MarkersGenetic Predisposition to DiseaseHumansIncidencePolymorphism, Single NucleotideReproducibility of ResultsSensitivity and SpecificityGenetic MarkersGeneralized estimating equationsGeneralized score testGenetic associationLongitudinal studyMulti-marker testRandom field

Identifiers

PMID25854837
PMCPMC4601568

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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.