Evidence map›Paper›PMID 8582623›Full record

ArticleGenetics1995

A random model approach to interval mapping of quantitative trait loci.

S Xu, W R Atchley

Abstract read
In one paragraph

Article in Genetics, 1995. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 47 papers.

0numbers the graph read from it
0cells of the map it votes in
47citing 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

47 citing papers in PubMed.

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  15. A statistical model for mapping morphological shape.Theoretical biology & medical modelling · 2010
    Article
  16. A gene frequency model for QTL mapping using Bayesian inference.Genetics, selection, evolution : GSE · 2010
    Article
  17. Article
  18. Article
  19. Mapping QTLs with digenic epistasis under multiple environments and predicting heterosis based on QTL effects.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2007
    Article
  20. 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

2 authors.

S XuDepartment of Botany and Plant Sciences, University of California, Riverside 92521-0124, USA.
W R Atchley

Funding

NIGMS NIH HHS GM-45344
6 · The paper itself

Abstract

Mapping quantitative trait loci in outbred populations is important because many populations of organisms are noninbred. Unfortunately, information about the genetic architecture of the trait may not be available in outbred populations. Thus, the allelic effects of genes can not be estimated with ease. In addition, under linkage equilibrium, marker genotypes provide no information about the genotype of a QTL (our terminology for a single quantitative trait locus is QTL while multiple loci are referred to as QTLs). To circumvent this problem, an interval mapping procedure based on a random model approach is described. Under a random model, instead of estimating the effects, segregating variances of QTLs are estimated by a maximum likelihood method. Estimation of the variance component of a QTL depends on the proportion of genes identical-by-descent (IBD) shared by relatives at the locus, which is predicted by the IBD of two markers flanking the QTL. The marker IBD shared by two relatives are inferred from the observed marker genotypes. The procedure offers an advantage over the regression interval mapping in terms of high power and small estimation errors and provides flexibility for large sibships, irregular pedigree relationships and incorporation of common environmental and fixed effects.

Indexed as

Genetics, PopulationModels, GeneticAllelesChromosome MappingGenetic MarkersLikelihood FunctionsRandom AllocationGenetic Markers

Identifiers

PMID8582623
PMCPMC1206840

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.