Evidence map›Paper›PMID 9792878›Full record

ArticleAmerican journal of human genetics1998

A comparative study of sibship tests of linkage and/or association.

S A Monks, N L Kaplan, B S Weir

Abstract readComparative Study
In one paragraph

Article in American journal of human genetics, 1998. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Association testing in a linked region using large pedigrees.American journal of human genetics · 2005
    Article
  8. Article
  9. Review
  10. Article
  11. Article
  12. Article
  13. 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

3 authors.

S A MonksBiostatistics Branch, National Institute of Environmental Health Sciences, Research Triangle Park, NC 27709, USA. monks@stat.ncsu.edu
N L Kaplan
B S Weir

Funding

THEORETICAL QUANTITATIVE GENETICSP01GM045344 · NIGMS · NORTH CAROLINA STATE UNIVERSITY RALEIGH · PI GIBSON, GREGORY C. · 1991 to 2005
$7.2M
NIGMS NIH HHS GM45344
6 · The paper itself

Abstract

Population-based tests of association have used data from either case-control studies or studies based on trios (affected child and parents). Case-control studies are more prone to false-positive results caused by inappropriate controls, which can occur if, for example, there is population admixture or stratification. An advantage of family-based tests is that cases and controls are well matched, but parental data may not always be available, especially for late-onset diseases. Three recent family-based tests of association and linkage utilize unaffected siblings as surrogates for untyped parents. In this paper, we propose an extension of one of these tests. We describe and compare the four tests in the context of a complex disease for both biallelic and multiallelic markers, as well as for sibships of different sizes. We also examine the consequences of having some parental data in the sample.

Indexed as

Genetic LinkageModels, GeneticModels, StatisticalNuclear FamilyAllelesCase-Control StudiesFalse Positive ReactionsGenetic Diseases, InbornGenetic MarkersMonte Carlo MethodParentsResearch DesignGenetic Markers

Identifiers

PMID9792878
PMCPMC1377561

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.