Evidence map›Paper›PMID 30537345›Full record

ArticleGenetic epidemiology2019

Linear mixed models for association analysis of quantitative traits with next-generation sequencing data.

Chi-Yang Chiu, Fang Yuan, Bing-Song Zhang, Ao Yuan, Xin Li, Hong-Bin Fang, Kenneth Lange, Daniel E Weeks, Alexander F Wilson, Joan E Bailey-Wilson and 8 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Genetic epidemiology, 2019. 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. Review
  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

18 authors.

Chi-Yang ChiuDivision of Biostatistics, Department of Preventive Medicine, University of Tennessee Health Science Center, Memphis, Tennessee.
Fang YuanDepartment of Biochemistry and Molecular Biology, School of Basic Medicine, Kunming Medical University, Kunming, Yunnan, China.
Bing-Song ZhangDepartment of Biostatistics, Bioinformatics, and Biomathematics, Georgetown University Medical Center, Washington, District of Columbia.
Ao YuanDepartment of Biostatistics, Bioinformatics, and Biomathematics, Georgetown University Medical Center, Washington, District of Columbia.
Xin LiDepartment of Biostatistics, Bioinformatics, and Biomathematics, Georgetown University Medical Center, Washington, District of Columbia.
Hong-Bin FangDepartment of Biostatistics, Bioinformatics, and Biomathematics, Georgetown University Medical Center, Washington, District of Columbia.
Kenneth LangeDepartment of Human Genetics, David Geffen School of Medicine, University of California, Los Angeles, California.
Daniel E WeeksDepartment of Biostatistics, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, Pennsylvania.ORCID 0000-0001-9410-7228
Alexander F WilsonComputational and Statistical Genomics Branch, National Human Genome Research Institute, National Institutes of Health (NIH), Bethesda, Maryland.ORCID 0000-0002-6682-8156
Joan E Bailey-WilsonComputational and Statistical Genomics Branch, National Human Genome Research Institute, National Institutes of Health (NIH), Bethesda, Maryland.ORCID 0000-0002-9153-2920
Anthony M MusolfComputational and Statistical Genomics Branch, National Human Genome Research Institute, National Institutes of Health (NIH), Bethesda, Maryland.
Dwight StambolianDepartment of Genetics, University of Pennsylvania, Philadelphia, Pennsylvania.
M'Hamed Lajmi Lakhal-ChaiebDepartment de Mathematiques et de Statistique, Universite Laval, Quebec, Canada.
Richard J CookDepartment of Statistics and Actuarial Science, Waterloo, Ontario, Quebec, Canada.
Francis J McMahonHuman Genetics Branch and Genetic Basis of Mood and Anxiety Disorders Section, University of Waterloo, National Institute of Mental Health, NIH, Bethesda, Maryland.
Christopher I AmosDepartment of Medicine, Baylor College of Medicine, Houston, Texas.
Momiao XiongHuman Genetics Center, University of Texas-Houston, Houston, Texas.
Ruzong FanComputational and Statistical Genomics Branch, National Human Genome Research Institute, National Institutes of Health (NIH), Bethesda, Maryland.ORCID 0000-0002-7603-2135

Funding

Genometric analysis of quantitative traitsZIAHG000200 · NHGRI · NATIONAL HUMAN GENOME RESEARCH INSTITUTE · PI WILSON, ALEXANDER F · 2009 to 2020
$19.8M
Development of statistical genetics methodologyZIAHG000153 · NHGRI · NATIONAL HUMAN GENOME RESEARCH INSTITUTE · PI BAILEY-WILSON, JOAN ELLEN · 2009 to 2022
$5.0M
AMD genetics: methods and analysis for progression, prediction, and associationR01EY024226 · NEI · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI CHEN, WEI · 2014 to 2016
$899k
Intramural NIH HHS Z99 HD999999NEI NIH HHS R01 EY024226NHGRI NIH HHSNIH HHSNIH HHS R01EY024226NIMH NIH HHS
6 · The paper itself

Abstract

We develop linear mixed models (LMMs) and functional linear mixed models (FLMMs) for gene-based tests of association between a quantitative trait and genetic variants on pedigrees. The effects of a major gene are modeled as a fixed effect, the contributions of polygenes are modeled as a random effect, and the correlations of pedigree members are modeled via inbreeding/kinship coefficients.

Indexed as

Genetic Association StudiesModels, GeneticQuantitative Trait, HeritableComputer SimulationFamilyHigh-Throughput Nucleotide SequencingHumansLinear ModelsMyopiacommon variantscomplex diseasesfunctional data analysisfunctional linear mixed modelslinear mixed modelsrare variants

Identifiers

PMID30537345
PMCPMC6375753

What OpenQuestion holds

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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.