Evidence map›Paper›PMID 33082282›Full record

ArticleGenetics2020

Inferring the Allelic Series at QTL in Multiparental Populations.

Wesley L Crouse, Samir N P Kelada, William Valdar

Abstract read
In one paragraph

Article in Genetics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Review
  9. Article
  10. 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

3 authors.

Wesley L CrouseCurriculum in Bioinformatics and Computational Biology, University of North Carolina, Chapel Hill, North Carolina 27599.ORCID 0000-0001-5745-4490
Samir N P KeladaDepartment of Genetics, University of North Carolina, Chapel Hill, North Carolina 27599.ORCID 0000-0003-2676-9232
William ValdarDepartment of Genetics, University of North Carolina, Chapel Hill, North Carolina 27599 william.valdar@unc.edu.ORCID 0000-0002-2419-0430

Funding

UNC-CH CENTER FOR ENVIRONMENTAL HEALTH &SUSCEPTIBILITYP30ES010126 · NIEHS · UNIV OF NORTH CAROLINA CHAPEL HILL · PI Stephanie Engel · 2001 to 2026
$36.3M
Statistical Modeling of Multiparental and Genetic Reference PopulationsR35GM127000 · NIGMS · UNIV OF NORTH CAROLINA CHAPEL HILL · PI William Valdar · 2018 to 2026
$3.1M
UNC Predoc Training Progr in Bioinformatics/Comp BiologyT32GM067553 · NIGMS · UNIV OF NORTH CAROLINA CHAPEL HILL · PI ELSTON, TIMOTHY C · 2005 to 2019
$2.5M
Gene-Environment Interactions with Ozone in Experimental AsthmaR01ES024965 · NIEHS · UNIV OF NORTH CAROLINA CHAPEL HILL · PI KELADA, SAMIR · 2015 to 2019
$2.2M
Statistical Modeling of Complex Traits in Genetic Reference Super-PopulationsR01GM104125 · NIGMS · UNIV OF NORTH CAROLINA CHAPEL HILL · PI VALDAR, WILLIAM · 2012 to 2016
$1.2M
NIEHS NIH HHS P30 ES010126NIEHS NIH HHS R01 ES024965NIGMS NIH HHS R01 GM104125NIGMS NIH HHS R35 GM127000NIGMS NIH HHS T32 GM067553
6 · The paper itself

Abstract

Multiparental populations (MPPs) are experimental populations in which the genome of every individual is a mosaic of known founder haplotypes. These populations are useful for detecting quantitative trait loci (QTL) because tests of association can leverage inferred founder haplotype descent. It is difficult, however, to determine how haplotypes at a locus group into distinct functional alleles, termed the allelic series. The allelic series is important because it provides information about the number of causal variants at a QTL and their combined effects. In this study, we introduce a fully Bayesian model selection framework for inferring the allelic series. This framework accounts for sources of uncertainty found in typical MPPs, including the number and composition of functional alleles. Our prior distribution for the allelic series is based on the Chinese restaurant process, a relative of the Dirichlet process, and we leverage its connection to the coalescent to introduce additional prior information about haplotype relatedness via a phylogenetic tree. We evaluate our approach via simulation and apply it to QTL from two MPPs: the Collaborative Cross (CC) and the

Indexed as

HaplotypesQuantitative Trait LociAnimalsBayes TheoremDrosophilaFounder EffectGene FrequencyGenome-Wide Association StudyInheritance PatternsModels, GeneticBayesian nonparametric statisticsEwens’s sampling formulahaplotype associationMAGICMPPmulti-parent advanced generation inter-crossmultiparental population

Identifiers

PMID33082282
PMCPMC7768242

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.