Evidence map›Paper›PMID 17347894›Full record

ArticleMammalian genome : official journal of the International Mammalian Genome Society2007

R/qtlDesign: inbred line cross experimental design.

Saunak Sen, Jaya M Satagopan, Karl W Broman, Gary A Churchill

Abstract read
In one paragraph

Article in Mammalian genome : official journal of the International Mammalian Genome Society, 2007. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers.

0numbers the graph read from it
0cells of the map it votes in
37citing 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

37 citing papers in PubMed.

  1. Article
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  9. Nutrients · 2022
    Article
  10. Article
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  12. Review
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  14. Article
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  16. Review
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  18. Forward genetic approach for behavioral neuroscience using animal models.Proceedings of the Japan Academy. Series B, Physical and biological sciences · 2020
    Article
  19. 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

4 authors.

Saunak SenDepartment of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, California 94143, USA. sen@biostat.ucsf.edu
Jaya M Satagopan
Karl W Broman
Gary A Churchill

Funding

Systems Genetic Analysis of Multi-parent CrossesR01GM070683 · NIGMS · JACKSON LABORATORY · PI BROMAN, KARL W, CHURCHILL, GARY A · 2004 to 2022
$6.8M
Statistical Methods and Software for QTL MappingR01GM074244 · NIGMS · UNIVERSITY OF WISCONSIN-MADISON · PI BROMAN, KARL W · 2005 to 2013
$2.3M
TWO STAGE DESIGNS FOR LINKAGE DISEQUILIBRIUMR01GM060457 · NIGMS · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI SATAGOPAN, JAYA M · 2000 to 2002
$413k
NIGMS NIH HHS GM060457NIGMS NIH HHS GM070683NIGMS NIH HHS GM074244NIGMS NIH HHS R01 GM070683NIGMS NIH HHS R01 GM074244
6 · The paper itself

Abstract

An investigator planning a QTL (quantitative trait locus) experiment has to choose which strains to cross, the type of cross, genotyping strategies, and the number of progeny to raise and phenotype. To help make such choices, we have developed an interactive program for power and sample size calculations for QTL experiments, R/qtlDesign. Our software includes support for selective genotyping strategies, variable marker spacing, and tools to optimize information content subject to cost constraints for backcross, intercross, and recombinant inbred lines from two parental strains. We review the impact of experimental design choices on the variance attributable to a segregating locus, the residual error variance, and the effective sample size. We give examples of software usage in real-life settings. The software is available at http://www.biostat.ucsf.edu/sen/software.html .

Indexed as

AnimalsAnimals, Inbred StrainsChromosome MappingCrosses, GeneticGenetic VariationProbabilityQuantitative Trait Loci

Identifiers

PMID17347894
PMCPMC2366108

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.