Evidence map›Paper›PMID 9599188›Full record

ArticleAmerican journal of human genetics1998

Simple, robust linkage tests for affected sibs.

A S Whittemore, I P Tu

Abstract read
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 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing 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

27 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. ALPK1 genetic regulation and risk in relation to gout.International journal of epidemiology · 2013
    Article
  5. Article
  6. Article
  7. Review
  8. Article
  9. Article
  10. Review
  11. Article
  12. Article
  13. A novel framework for sib pair linkage analysis.American journal of human genetics · 2006
    Article
  14. Article
  15. Article
  16. Weighting affected sib pairs by marker informativity.American journal of human genetics · 2005
    Article
  17. Article
  18. Article
  19. Article
  20. 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.

A S WhittemoreDepartment of Health Research and Policy, Stanford University School of Medicine, Stanford, CA 94305-5405, USA. asw@osiris.stanford.edu
I P Tu

Funding

RESEARCH IN CANCER EPIDEMIOLOGY AND BIOSTATISTICSR35CA047448 · NCI · STANFORD UNIVERSITY · PI WHITTEMORE, ALICE S · 1989 to 2000
$584k
NCI NIH HHS CA47448
6 · The paper itself

Abstract

Parametric-linkage analysis applied to large pedigrees with many affected individuals has helped in the identification of highly penetrant genes; but, for diseases lacking a clear Mendelian inheritance pattern or caused by several genes of low to moderate penetrance, a more robust strategy is nonparametric analysis applied to small sets of affected relatives, such as affected sib pairs. Here we show that the robustness of affected-sib-pair tests is related to the shape of the constraint set for the sibs' identity-by-descent (IBD) probabilities. We also derive a set of constraints for the IBD probabilities of affected sib triples and use common features of the shapes of the two constrain sets to introduce new nonparametric tests (called "minmax" tests) that are more robust than those in current use. Asymptotic-power computations support the robustness of the proposed minmax tests.

Indexed as

AutomationGenetic LinkageModels, GeneticModels, StatisticalHumans

Identifiers

PMID9599188
PMCPMC1377107

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.