Evidence map›Paper›PMID 16219774›Full record

ArticleGenetics2006

Detection of genes for ordinal traits in nuclear families and a unified approach for association studies.

Heping Zhang, Xueqin Wang, Yuanqing Ye

Open access · bronzeAbstract readComparative Study
In one paragraph

Article in Genetics, 2006. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
1.1field-weighted citation impact, top 21% 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, 22 citations in OpenAlex.

  1. Article
  2. Article
  3. Residuals and Diagnostics for Ordinal Regression Models: A Surrogate Approach.Journal of the American Statistical Association · 2018
    Article
  4. Article
  5. Probability-scale residuals for continuous, discrete, and censored data.The Canadian journal of statistics = Revue canadienne de statistique · 2016
    Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Statistical Analysis in Genetic Studies of Mental Illnesses.Statistical science : a review journal of the Institute of Mathematical Statistics · 2011
    Article
  12. Article
  13. An Association Test for Multiple Traits Based on the Generalized Kendall's Tau.Journal of the American Statistical Association · 2010
    Article
  14. Article
  15. Why Do We Test Multiple Traits in Genetic Association Studies?Journal of the Korean Statistical Society · 2009
    Article
  16. 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 at 1 institution in 1 country.

Heping ZhangDepartment of Epidemiology and Public Health, Yale University School of Medicine, New Haven, Connecticut 06520-8034, USA. heping.zhang@yale.edu
Xueqin Wang
Yuanqing Ye
Yale University · US

Funding

Subject CollectionU10AA008401 · NIAAA · SUNY DOWNSTATE MEDICAL CENTER · PI JESSICA E SALVATORE · 1989 to 2026
$162.7M
Statistical Methods in Genetic Studies of Substance UseR01DA016750 · NIDA · YALE UNIVERSITY · PI ZHANG, HEPING · 2004 to 2016
$3.3M
STATISTICAL METHODS FOR CORRELATED SUBSTANCE USE DATAR01DA012468 · NIDA · YALE UNIVERSITY · PI ZHANG, HEPING · 2000 to 2003
$981k
Methodological Research on Substance UseK02DA017713 · NIDA · YALE UNIVERSITY · PI ZHANG, HEPING · 2004 to 2008
$750k
NIAAA NIH HHS U10 AA008401NIAAA NIH HHS U10AA008401NIDA NIH HHS DA012468NIDA NIH HHS DA016750NIDA NIH HHS DA017713NIDA NIH HHS K02 DA017713NIDA NIH HHS R01 DA012468NIDA NIH HHS R01 DA016750
6 · The paper itself

Abstract

There is growing interest in genomewide association analysis using single-nucleotide polymorphisms (SNPs), because traditional linkage studies are not as powerful in identifying genes for common, complex diseases. Tests for linkage disequilibrium have been developed for binary and quantitative traits. However, since many human conditions and diseases are measured in an ordinal scale, methods need to be developed to investigate the association of genes and ordinal traits. Thus, in the current report we propose and derive a score test statistic that identifies genes that are associated with ordinal traits when gametic disequilibrium between a marker and trait loci exists. Through simulation, the performance of this new test is examined for both ordinal traits and quantitative traits. The proposed statistic not only accommodates and is more powerful for ordinal traits, but also has similar power to that of existing tests when the trait is quantitative. Therefore, our proposed statistic has the potential to serve as a unified approach to identifying genes that are associated with any trait, regardless of how the trait is measured. We further demonstrated the advantage of our test by revealing a significant association (P = 0.00067) between alcohol dependence and a SNP in the growth-associated protein 43.

Indexed as

Genetic LinkageModels, GeneticAlcoholismComputer SimulationGAP-43 ProteinGenetic MarkersHumansNuclear FamilyPolymorphism, Single NucleotideQuantitative Trait, HeritableQuantitative Trait LociGAP-43 ProteinGenetic Markers

Identifiers

PMID16219774
PMCPMC1456175
OpenAlexW2151860861

What OpenQuestion 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 OpenQuestion graph.