Evidence map›Paper›PMID 17565951›Full record

ArticleGenetics2007

A covariance structure model for the admixture of binary genetic variation.

Mark N Grote

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Genetics, 2007. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

1 author.

Mark N GroteDepartment of Anthropology, University of California-Davis, 1 Shields Avenue, Davis, CA 95616, USA. mngrote@ucdavis.edu

Funding

HUMAN GENOMIC POLYMORPHISMSR01MH060007 · NIMH · JOHNS HOPKINS UNIVERSITY · PI CHAKRAVARTI, ARAVINDA · 1998 to 2006
$4.5M
LINKAGE DISEQUILIBRIUM MAPPING OF COMPLEX-TRAIT GENESR01HG002107 · NHGRI · UNIVERSITY OF CALIFORNIA DAVIS · PI LANGLEY, CHARLES HUNT · 2000 to 2002
$713k
NHGRI NIH HHS 5R01 HG 002107-03NHGRI NIH HHS R01 HG002107NIMH NIH HHS 7R01 MH 60007NIMH NIH HHS R01 MH060007
6 · The paper itself

Abstract

I derive a covariance structure model for pairwise linkage disequilibrium (LD) between binary markers in a recently admixed population and use a generalized least-squares method to fit the model to two different data sets. Both linked and unlinked marker pairs are incorporated in the model. Under the model, a pairwise LD matrix is decomposed into two component matrices, one containing LD attributable to admixture, and another containing, in an aggregate form, LD specific to the populations forming the mixture. I use population genetics theory to show that the latter matrix has block-diagonal structure. For the data sets considered here, I show that the number of source populations can be determined by statistical inference on the canonical correlations of the sample LD matrix.

Indexed as

Genetic VariationLinkage DisequilibriumModels, GeneticChromosomes, Human, XDatabases, GeneticFemaleGenetic MarkersGenetics, PopulationHumansMaleModels, StatisticalPhysical Chromosome MappingPolymorphism, Single NucleotideGenetic Markers

Identifiers

PMID17565951
PMCPMC1950641

What OpenQuestion holds

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Registered trials

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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.