Evidence map›Paper›PMID 28065470›Full record

ArticleAmerican journal of human genetics2017

The Rare-Variant Generalized Disequilibrium Test for Association Analysis of Nuclear and Extended Pedigrees with Application to Alzheimer Disease WGS Data.

Zongxiao He, Di Zhang, Alan E Renton, Biao Li, Linhai Zhao, Gao T Wang, Alison M Goate, Richard Mayeux, Suzanne M Leal

Erratum issuedOpen access · bronzeAbstract read
In one paragraph

Article in American journal of human genetics, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
2.6field-weighted citation impact, top 10% 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

16 citing papers in PubMed, 19 citations in OpenAlex.

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  14. Germline Variation and Breast Cancer Incidence: A Gene-Based Association Study and Whole-Genome Prediction of Early-Onset Breast Cancer.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2018
    Article
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors at 3 institutions in 1 country.

Zongxiao HeCenter for Statistical Genetics, Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX 77030, USA.
Di ZhangCenter for Statistical Genetics, Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX 77030, USA.
Alan E RentonDepartment of Neuroscience and Department of Genetics and Genomic Sciences, Mount Sinai School of Medicine, New York, NY 10029, USA.
Biao LiCenter for Statistical Genetics, Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX 77030, USA.
Linhai ZhaoCenter for Statistical Genetics, Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX 77030, USA.
Gao T WangCenter for Statistical Genetics, Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX 77030, USA.
Alison M GoateDepartment of Neuroscience and Department of Genetics and Genomic Sciences, Mount Sinai School of Medicine, New York, NY 10029, USA.
Richard MayeuxDepartment of Neurology, Taub Institute on Alzheimer's Disease and the Aging Brain and Gertrude H. Sergievsky Center, Columbia University, New York, NY 10027, USA.
Suzanne M LealCenter for Statistical Genetics, Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX 77030, USA. Electronic address: sleal@bcm.edu.
Baylor College of Medicine · USIcahn School of Medicine at Mount Sinai · USColumbia University · US

Funding

National Centralized Repository for Alzheimer's Disease and Related Dementias (NCRAD)U24AG021886 · NIA · INDIANA UNIV-PURDUE UNIV AT INDIANAPOLIS · PI TATIANA M. FOROUD · 2002 to 2026
$119.8M
The National Institute on Aging (NIA) Late Onset of Alzheimer's Disease (LOAD) Family-Based Study (FBS)U24AG056270 · NIA · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI Gary Wayne Beecham, TATIANA M. FOROUD · 2017 to 2026
$31.4M
Epidemiology of Familial Late-Onset Alzheimer's DiseaseR01AG041797 · NIA · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI MAYEUX, RICHARD P · 2012 to 2016
$4.2M
Genetic Studies of Alzheimer's Disease in Caribbean HispanicsRF1AG015473 · NIA · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI MAYEUX, RICHARD P · 2015 to 2018
$3.3M
Family-based methods to analyze sequence data to elucidate AD etiologyRF1AG058131 · NIA · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI LEAL, SUZANNE M · 2018 to 2018
$3.0M
Computational tools for sequence-based large-scale epidemiology studiesR01HG008972 · NHGRI · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI LEAL, SUZANNE M, PENG, BO · 2016 to 2019
$1.6M
NHGRI NIH HHS R01 HG008972NIA NIH HHS R01 AG041797NIA NIH HHS RF1 AG015473NIA NIH HHS RF1 AG058131NIA NIH HHS U24 AG021886NIA NIH HHS U24 AG056270
6 · The paper itself

Abstract

Whole-genome and exome sequence data can be cost-effectively generated for the detection of rare-variant (RV) associations in families. Causal variants that aggregate in families usually have larger effect sizes than those found in sporadic cases, so family-based designs can be a more powerful approach than population-based designs. Moreover, some family-based designs are robust to confounding due to population admixture or substructure. We developed a RV extension of the generalized disequilibrium test (GDT) to analyze sequence data obtained from nuclear and extended families. The GDT utilizes genotype differences of all discordant relative pairs to assess associations within a family, and the RV extension combines the single-variant GDT statistic over a genomic region of interest. The RV-GDT has increased power by efficiently incorporating information beyond first-degree relatives and allows for the inclusion of covariates. Using simulated genetic data, we demonstrated that the RV-GDT method has well-controlled type I error rates, even when applied to admixed populations and populations with substructure. It is more powerful than existing family-based RV association methods, particularly for the analysis of extended pedigrees and pedigrees with missing data. We analyzed whole-genome sequence data from families affected by Alzheimer disease to illustrate the application of the RV-GDT. Given the capability of the RV-GDT to adequately control for population admixture or substructure and analyze pedigrees with missing genotype data and its superior power over other family-based methods, it is an effective tool for elucidating the involvement of RVs in the etiology of complex traits.

Indexed as

Genetic VariationLinkage DisequilibriumAgedAged, 80 and overAlzheimer DiseaseAxin ProteinComputer SimulationDatabases, GeneticFemaleGenotypeHaplotypesHumansMaleModels, GeneticPedigreePhenotypeAXIN1 protein, humanAxin ProteinAlzheimer diseaseexome sequence dataextended and nuclear pedigreesfamily-based association analysisgeneralized disequilibrium testmissing datapedigree disequilibrium testrare variantsTNK1whole-genome sequence data

Identifiers

PMID28065470
PMCPMC5294711
OpenAlexW4241518155

What Socratic holds

Textmetadata
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.