Evidence map›Paper›PMID 20160841›Full record

ArticleJournal of statistical planning and inference2009

A Robust QTL Mapping Procedure.

Fei Zou, Lei Nie, Fred A Wright, Pranab K Sen

Abstract read
In one paragraph

Article in Journal of statistical planning and inference, 2009. 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. Mapping complex traits as a dynamic system.Physics of life reviews · 2015
    Review
  2. Article
  3. Article
  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

4 authors.

Fei ZouDepartment of Biostatistics, University of North Carolina, Chapel Hill, NC 27599.
Lei Nie
Fred A Wright
Pranab K Sen

Funding

Robust Methods for Complex Trait Mapping with Collaborative CrossR01GM074175 · NIGMS · UNIV OF NORTH CAROLINA CHAPEL HILL · PI ZOU, FEI · 2006 to 2014
$1.7M
NIGMS NIH HHS R01 GM074175
6 · The paper itself

Abstract

In quantitative-trait linkage studies using experimental crosses, the conventional normal location-shift model or other parameterizations may be unnecessarily restrictive. We generalize the mapping problem to a genuine nonparametric setup and provide a robust estimation procedure for the situation where the underlying phenotype distributions are completely unspecified. Classical Wilcoxon-Mann-Whitney statistics are employed for point and interval estimation of QTL positions and effects.

Identifiers

PMID20160841
PMCPMC2632598

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.