Evidence map›Paper›PMID 10090905›Full record

ArticleAmerican journal of human genetics1999

Comparison of linkage-disequilibrium methods for localization of genes influencing quantitative traits in humans.

G P Page, C I Amos

Abstract readComparative Study
In one paragraph

Article in American journal of human genetics, 1999. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Analysis of Sequence Data Under Multivariate Trait-Dependent Sampling.Journal of the American Statistical Association · 2015
    Article
  2. Article
  3. Quantitative trait analysis in sequencing studies under trait-dependent sampling.Proceedings of the National Academy of Sciences of the United States of America · 2013
    Article
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  11. Psychiatric genetics: back to the future.Molecular psychiatry · 2000
    Review
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

2 authors.

G P PageDepartment of Epidemiology, The University of Texas M.D. Anderson Cancer Center, Houston, TX 77030, USA.
C I Amos

Funding

Positional Gene Identification of Complex TraitsR01ES009912 · NIEHS · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI AMOS, CHRISTOPHER I. · 1999 to 2006
$3.3M
GENETIC DETERMINANTS OF PLASMA LIPOPROTEINSR01HL053917 · NHLBI · UNIVERSITY OF TEXAS SW MED CTR/DALLAS · PI COHEN, JONATHAN C · 1994 to 2002
$766k
DEVELOPMENT OF ROBUST GENETIC LINKAGE TESTSR01GM052607 · NIGMS · UNIVERSITY OF TEXAS MD ANDERSON CAN CTR · PI AMOS, CHRISTOPHER I. · 1995 to 1997
–
NHLBI NIH HHS HL-53917NIEHS NIH HHS ES-09912NIGMS NIH HHS GM-52607
6 · The paper itself

Abstract

Linkage disequilibrium has been used to help in the identification of genes predisposing to certain qualitative diseases. Although several linkage-disequilibrium tests have been developed for localization of genes influencing quantitative traits, these tests have not been thoroughly compared with one another. In this report we compare, under a variety of conditions, several different linkage-disequilibrium tests for identification of loci affecting quantitative traits. These tests use either single individuals or parent-child trios. When we compared tests with equal samples, we found that the truncated measured allele (TMA) test was the most powerful. The trait allele frequencies, the stringency of sample ascertainment, the number of marker alleles, and the linked genetic variance affected the power, but the presence of polygenes did not. When there were more than two trait alleles at a locus in the population, power to detect disequilibrium was greatly diminished. The presence of unlinked disequilibrium (D'*) increased the false-positive error rates of disequilibrium tests involving single individuals but did not affect the error rates of tests using family trios. The increase in error rates was affected by the stringency of selection, the trait allele frequency, and the linked genetic variance but not by polygenic factors. In an equilibrium population, the TMA test is most powerful, but, when adjusted for the presence of admixture, Allison test 3 becomes the most powerful whenever D'*>.15.

Indexed as

Quantitative Trait, HeritableAllelesApolipoproteins EBiasChildCholesterol, LDLChromosome MappingComputer SimulationFalse Positive ReactionsGene FrequencyGenetic MarkersGenetic VariationHumansLinkage DisequilibriumModels, GeneticMultifactorial InheritanceApolipoproteins ECholesterol, LDLGenetic Markers

Identifiers

PMID10090905
PMCPMC1377844

What OpenQuestion holds

Texttitle and abstract
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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.