Evidence map›Paper›PMID 1353663›Full record

ArticleAmerican journal of human genetics1992

Expected behavior of conditional linkage disequilibrium.

N Kaplan, B S Weir

Abstract read
In one paragraph

Article in American journal of human genetics, 1992. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
2.8field-weighted citation impact, top 10% of its field
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

14 citing papers in PubMed, 33 citations in OpenAlex.

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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 at 1 institution in 1 country.

N KaplanDivision of Biometry and Risk Assessment, National Institute of Environmental Health Sciences, Research Triangle Park, NC 27709.
B S Weir
National Institute of Environmental Health Sciences · US

Funding

THEORETICAL QUANTITATIVE GENETICSP01GM045344 · NIGMS · NORTH CAROLINA STATE UNIVERSITY RALEIGH · PI MACKAY, TRUDY F · 1991 to 2005
$7.2M
NIGMS NIH HHS GM45344
6 · The paper itself

Abstract

The ubiquitousness of RFLPs in the human genome has greatly helped the mapping of human disease genes, and it has been suggested that population measures of association between disease and marker loci could help with this mapping. For rare diseases, random samples are taken from within disease genotypes in order to obtain reasonable sample sizes, but this sampling strategy requires a modification of the usual measures of association. We present theoretical predictions for the mean and variance of such a modified measure, under the assumption that the disease gene is maintained at a constant low frequency in the population. The coefficient of variation of this modified measure is large enough that caution is needed in using the measure to locate disease genes, and, furthermore, the coefficient of variation cannot be made arbitrarily small by increasing sample size. The modified association measure is calculated for recently published data on cystic fibrosis.

Indexed as

Linkage DisequilibriumChromosome MappingCystic FibrosisGenetic MarkersGenome, HumanHumansMathematicsModels, GeneticPolymorphism, Restriction Fragment LengthGenetic Markers

Identifiers

PMID1353663
PMCPMC1682675
OpenAlexW333938509

What OpenQuestion holds

Textmetadata
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.