Evidence map›Paper›PMID 18535081›Full record

ArticleBioinformatics (Oxford, England)2008

LOT: a tool for linkage analysis of ordinal traits for pedigree data.

Meizhuo Zhang, Rui Feng, Xiang Chen, Buqu Hu, Heping Zhang

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Bioinformatics (Oxford, England), 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Statistical Analysis in Genetic Studies of Mental Illnesses.Statistical science : a review journal of the Institute of Mathematical Statistics · 2011
    Article
  2. 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

5 authors.

Meizhuo ZhangYale University School of Medicine, New Haven, CT 06520-8034, USA.
Rui Feng
Xiang Chen
Buqu Hu
Heping Zhang

Funding

Statistical Methods in Genetic Studies of Substance UseR01DA016750 · NIDA · YALE UNIVERSITY · PI ZHANG, HEPING · 2004 to 2016
$3.3M
YALE BIOMEDICAL SUPERCOMPUTER: NEUROSCIENCES10RR019895 · NCRR · YALE UNIVERSITY · PI WILLIAMS, KENNETH ROBERT · 2004 to 2004
$1.6M
Methodological Research on Substance UseK02DA017713 · NIDA · YALE UNIVERSITY · PI ZHANG, HEPING · 2004 to 2008
$750k
NCRR NIH HHS S10 RR019895NIDA NIH HHS K02 DA017713NIDA NIH HHS K02DA017713NIDA NIH HHS R01 DA016750NIDA NIH HHS R01DA016750
6 · The paper itself

Abstract

summaryExisting linkage-analysis methods address binary or quantitative traits. However, many complex diseases and human conditions, particularly behavioral disorders, are rated on ordinal scales. Herein, we introduce, LOT, a tool that performs linkage analysis of ordinal traits for pedigree data. It implements a latent-variable proportional-odds logistic model that relates inheritance patterns to the distribution of the ordinal trait. The likelihood-ratio test is used for testing evidence of linkage. AVAILABILITY: The LOT program is available for download at http://c2s2.yale.edu/software/LOT/

Indexed as

AlgorithmsModels, GeneticPedigreeSoftwareChromosome MappingComputer SimulationGenetic Linkage

Identifiers

PMID18535081
PMCPMC2566542

What OpenQuestion holds

Textmetadata
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Registered trials

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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.