Evidence map›Paper›PMID 9399893›Full record

ArticleAmerican journal of human genetics1997

Comparison of nonparametric statistics for detection of linkage in nuclear families: single-marker evaluation.

S Davis, D E Weeks

Open access · bronzeAbstract readComparative Study
In one paragraph

Article in American journal of human genetics, 1997. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
7.6field-weighted citation impact, top 2% 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

20 citing papers in PubMed, 101 citations in OpenAlex.

  1. Review
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  15. A genome screen of multiplex sibships with prostate cancer.American journal of human genetics · 2000
    Article
  16. Article
  17. Article
  18. Genome scan for human obesity and linkage to markers in 20q13.American journal of human genetics · 1999
    Article
  19. Article
  20. Tests and estimates of allelic association in complex inheritance.Proceedings of the National Academy of Sciences of the United States of America · 1998
    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

2 authors at 1 institution in 2 countries.

S DavisDepartment of Human Genetics, University of Pittsburgh, PA 15261, USA.
D E Weeks
University of Pittsburgh · US

Funding

X-LINKED EXTENSION OF THE REVISED HASEMAN-ELSTON ALGORITHM FOR LINKAGE ANALYSISP41RR003655 · NCRR · LOUISIANA STATE UNIV HSC NEW ORLEANS · PI ELSTON, ROBERT C. · 1987 to 2011
$11.5M
LINKAGE ANALYSIS OF COMPLEX HUMAN TRAITS USING AFFECTEDR29HG000719 · NHGRI · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI WEEKS, DANIEL E · 1992 to 1996
–
NCRR NIH HHS 1 P41 RR03655NHGRI NIH HHS HG00719Wellcome Trust
6 · The paper itself

Abstract

We have evaluated 23 different statistics, from a total of 10 popular software packages for model-free linkage analysis of nuclear-family data, by applying them to single-marker data simulated under several two-locus disease models. The statistics that we examined fall into two broad categories: (1) those that test directly for increased identity-by-state or identity-by-descent sharing (by use of the programs APM, Genetic Analysis System [GAS] SIBSTATE and SIBDES, SAGE SIBPAL, ERPA, SimIBD, and Genehunter NPL) and (2) those that are based on likelihood-ratio tests and that report LOD scores (by use of the programs Splink, SIBPAIR, Mapmaker/Sibs, ASPEX, and GAS SIBMLS). For each of eight two-locus disease models, we analyzed six data sets; the first three data sets consisted of two-child families with both sibs affected and zero, one, or both parents typed, whereas the other three data sets consisted of four-child families with at least two affected sibs and zero, one, or both parents typed. We report false-positive rates, overall rank by power, and the power for each statistic. We give rough recommendations regarding which programs provide the most powerful tests for linkage, as well as the programs to be avoided under certain conditions. For the likelihood-ratio-based statistics, we examined the effects of various treatments of sibships with multiple affected individuals. Finally, we explored the use of some simple two-of-three composite statistics and found that such tests are of only marginal benefit over the most powerful single statistic.

Indexed as

Genetic LinkageGenetic MarkersModels, GeneticStatistics, NonparametricAdultChildEvaluation Studies as TopicFalse Positive ReactionsFamily HealthHumansNuclear FamilySoftwareGenetic Markers

Identifiers

PMID9399893
PMCPMC1716077
OpenAlexW1999843368

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.