Evidence map›Paper›PMID 22745229›Full record

ArticleGenetics2012

Mapping quantitative trait loci onto a phylogenetic tree.

Karl W Broman, Sungjin Kim, Saunak Sen, Cécile Ané, Bret A Payseur

Open access · bronzeAbstract read
In one paragraph

Article in Genetics, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.0field-weighted citation impact, top 20% 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

5 citing papers in PubMed, 10 citations in OpenAlex.

  1. Article
  2. Integrating natural history collections and comparative genomics to study the genetic architecture of convergent evolution.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2019
    Review
  3. Article
  4. Article
  5. The evolution of hybrid incompatibilities along a phylogeny.Evolution; international journal of organic evolution · 2013
    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 at 3 institutions in 1 country.

Karl W BromanDepartment of Biostatistics and Medical Informatics, Genetics, University of Wisconsin, Madison, Wisconsin 53706, USA. kbroman@biostat.wisc.edu
Sungjin Kim
Saunak Sen
Cécile Ané
Bret A Payseur
University of Wisconsin–Madison · USEmory University · USUniversity of California, San Francisco · US

Funding

Statistical Methods and Software for QTL MappingR01GM074244 · NIGMS · UNIVERSITY OF WISCONSIN-MADISON · PI BROMAN, KARL W · 2005 to 2013
$2.3M
NIGMS NIH HHS GM074244NIGMS NIH HHS R01 GM074244
6 · The paper itself

Abstract

Despite advances in genetic mapping of quantitative traits and in phylogenetic comparative approaches, these two perspectives are rarely combined. The joint consideration of multiple crosses among related taxa (whether species or strains) not only allows more precise mapping of the genetic loci (called quantitative trait loci, QTL) that contribute to important quantitative traits, but also offers the opportunity to identify the origin of a QTL allele on the phylogenetic tree that relates the taxa. We describe a formal method for combining multiple crosses to infer the location of a QTL on a tree. We further discuss experimental design issues for such endeavors, such as how many crosses are required and which sets of crosses are best. Finally, we explore the method's performance in computer simulations, and we illustrate its use through application to a set of four mouse intercrosses among five inbred strains, with data on HDL cholesterol.

Indexed as

Evolution, MolecularPhylogenyAnimalsCholesterol, HDLChromosome MappingFemaleMaleMiceQuantitative Trait LociCholesterol, HDL

Identifiers

PMID22745229
PMCPMC3430541
OpenAlexW2136564643

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.