Evidence map›Paper›PMID 8037216›Full record

ArticleAmerican journal of human genetics1994

Comparison of statistics for candidate-gene association studies using cases and parents.

D J Schaid, S S Sommer

Open access · greenAbstract readComparative Study
In one paragraph

Article in American journal of human genetics, 1994. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 42 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
42citing papers in PubMed, 2 pooled it
8.2field-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

42 citing papers in PubMed, 2 syntheses or guidelines pooled it, 203 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
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  5. Review
  6. Article
  7. Learning about the X from our parents.Frontiers in genetics · 2015
    Article
  8. Article
  9. Empirical pathway analysis, without permutation.Biostatistics (Oxford, England) · 2013
    Article
  10. Analytical methods for disease association studies with immunogenetic data.Methods in molecular biology (Clifton, N.J.) · 2012
    Article
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  13. Review
  14. Review
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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.

D J SchaidDepartment of Health Sciences Research, Mayo Clinic/Foundation, Rochester, MN 55905.
S S Sommer
Mayo Clinic · US

Funding

NIMH NIH HHS R01 MH44762
6 · The paper itself

Abstract

Studies of association between candidate genes and disease can be designed to use cases with disease, and in place of nonrelated controls, their parents. The advantage of this design is the elimination of spurious differences due to ethnic differences between cases and nonrelated controls. However, several statistical methods of analysis have been proposed in the literature, and the choice of analysis is not always clear. We review some of the statistical methods currently developed and present two new statistical methods aimed at specific genetic hypotheses of dominance and recessivity of the candidate gene. These new methods can be more powerful than other current methods, as demonstrated by simulations. The basis of these new statistical methods is a likelihood approach. The advantage of the likelihood framework is that regression models can be developed to assess genotype-environment interactions, as well as the relative contribution that alleles at the candidate-gene locus make to the relative risk (RR) of disease. This latter development allows testing of (1) whether interactions between alleles exist, on the scale of log RR, and (2) whether alleles originating from the mother or father of a case impart different risks, i.e., genomic imprinting.

Indexed as

Case-Control StudiesGenotypeModels, GeneticParentsAllelesChi-Square DistributionConfounding Factors, EpidemiologicEthnicityGene FrequencyGenes, DominantGenes, RecessiveGenetic Diseases, InbornHeterozygoteHomozygoteHumansLikelihood Functions

Identifiers

PMID8037216
PMCPMC1918347
OpenAlexW1733541714

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.