Evidence map›Paper›PMID 22398955›Full record

ArticleHuman heredity2012

A sparse transmission disequilibrium test for haplotypes based on Bradley-Terry graphs.

Li Ma, Wing Hung Wong, Art B Owen

Open access · bronzeAbstract read
In one paragraph

Article in Human heredity, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.2field-weighted citation impact, top 38% of its field
1 · What the graph read from it

What it found

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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

1 citing paper in PubMed, 4 citations in OpenAlex.

  1. Article
4 · The record

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5 · Who and what money

Authors and funding

3 authors at 2 institutions in 2 countries.

Li MaDepartment of Statistical Science, Duke University, Durham, N.C. 27708-0251, USA. li.ma@duke.edu
Wing Hung Wong
Art B Owen
Statistical Service · CYDuke University · US

Funding

Statistical Analysis of Exon ArraysR01HG004634 · NHGRI · STANFORD UNIVERSITY · PI WONG, WING H. · 2008 to 2011
$1.4M
Statistical analysis of RNA-Seq dataR01HG005717 · NHGRI · STANFORD UNIVERSITY · PI WONG, WING H. · 2011 to 2013
$1.1M
NHGRI NIH HHS R01 HG004634NHGRI NIH HHS R01HG004634NHGRI NIH HHS R01 HG005717NHGRI NIH HHS R01HG005717
6 · The paper itself

Abstract

backgroundLinkage and association analysis based on haplotype transmission disequilibrium can be more informative than single marker analysis. Several works have been proposed in recent years to extend the transmission disequilibrium test (TDT) to haplotypes. Among them, a powerful approach called the evolutionary tree TDT (ET-TDT) incorporates information about the evolutionary relationship among haplotypes using the cladogram of the locus.

methodsIn this work we extend this approach by taking into consideration the sparsity of causal mutations in the evolutionary history. We first introduce the notion of a Bradley-Terry (BT) graph representation of a haplotype locus. The most important property of the BT graph is that sparsity of the edge set of the graph corresponds to small number of causal mutations in the evolution of the haplotypes. We then propose a method to test the null hypothesis of no linkage and association against sparse alternatives under which a small number of edges on the BT graph have non-nil effects. RESULTS AND

conclusionWe compare the performance of our approach to that of the ET-TDT through a power study, and show that incorporating sparsity of causal mutations can significantly improve the power of a haplotype-based TDT.

Indexed as

HaplotypesLinkage DisequilibriumModels, GeneticAlgorithmsComputer SimulationGene FrequencyGenetic LinkageHumans

Identifiers

PMID22398955
PMCPMC3357149
OpenAlexW2045899999

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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.