Evidence map›Paper›PMID 30391948›Full record

ArticleHuman heredity2018

Contribution of Inbred Singletons to Variance Component Estimation of Heritability and Linkage.

Lucy Blondell, August Blackburn, Mark Z Kos, John Blangero, Harald H H Göring

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Human heredity, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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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

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Lucy BlondellSouth Texas Diabetes and Obesity Institute, Department of Human Genetics, University of Texas Rio Grande Valley, San Antonio, Texas, USA, lucy.blondell@utrgv.edu.
August BlackburnSouth Texas Diabetes and Obesity Institute, Department of Human Genetics, University of Texas Rio Grande Valley, San Antonio, Texas, USA.
Mark Z KosSouth Texas Diabetes and Obesity Institute, Department of Human Genetics, University of Texas Rio Grande Valley, San Antonio, Texas, USA.
John BlangeroSouth Texas Diabetes and Obesity Institute, Department of Human Genetics, University of Texas Rio Grande Valley, San Antonio, Texas, USA.
Harald H H GöringSouth Texas Diabetes and Obesity Institute, Department of Human Genetics, University of Texas Rio Grande Valley, San Antonio, Texas, USA.

Funding

Quantitative Trait Locus Mapping in Human PedigreesR37MH059490 · NIMH · TEXAS BIOMEDICAL RESEARCH INSTITUTE · PI BLANGERO, JOHN · 2001 to 2010
$6.8M
Construction of a Biomedical Research Facility at the U*C06RR020547 · NCRR · UNIV/TEXAS BROWNSVILLE & SOUTHMOST COLL · PI KROUSE, JOHN H · 2010 to 2010
$4.0M
A Genetic Study of Blood Metabolites and Their Relationship To Diabetes Risk.R01DK099051 · NIDDK · UNIVERSITY OF TEXAS RIO GRANDE VALLEY · PI GORING, HARALD HEINZ HERBERT · 2013 to 2016
$2.4M
QUANTITATIVE TRAIT LOCUS MAPPING IN HUMAN PEDIGREESR01MH059490 · NIMH · SOUTHWEST FOUNDATION FOR BIOMEDICAL RES · PI BLANGERO, JOHN · 1998 to 2000
$426k
NCRR NIH HHS C06 RR020547NIDDK NIH HHS R01 DK099051NIMH NIH HHS R01 MH059490NIMH NIH HHS R37 MH059490
6 · The paper itself

Abstract

objectivesAn interesting consequence of consanguinity is that the inbred singleton becomes informative for genetic variance. We determine the contribution of an inbred singleton to variance component analysis of heritability and linkage.

methodsStatistical theory for the power of variance component analysis of quantitative traits is used to determine the expected contribution of an inbred singleton to likelihood-ratio tests of heritability and linkage.

resultsIn variance component models, an inbred singleton contributes relatively little to a test of heritability but can contribute substantively to a test of linkage. For small-to-moderate quantitative trait locus (QTL) effects and a level of inbreeding comparable to matings between first cousins (the preferred form of union in many human populations), an inbred singleton can carry nearly 25% of the information of a non-inbred sib pair. In more highly inbred contexts available with experimental animal populations, nonhuman primate colonies, and some human subpopulations, the contribution of an inbred singleton relative to a sib pair can exceed 50%.

conclusionsInbred individuals, even in isolation from other members of a sample, can contribute to variance component estimation and tests of heritability and linkage. Under certain conditions, the informativeness of the inbred singleton can approach that of a non-inbred sib pair.

Indexed as

ConsanguinityModels, GeneticGenetic LinkageGenetic VariationHumansHeritabilityInbreedingLinkage analysisStatistical geneticsVariance component analysis

Identifiers

PMID30391948
PMCPMC6277139

What Socratic holds

Textmetadata
LicenceTDM
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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 Socratic graph.