Evidence map›Paper›PMID 7668275›Full record

ArticleAmerican journal of human genetics1995

Mapping disease genes: family-based association studies.

G Thomson

Abstract read
In one paragraph

Article in American journal of human genetics, 1995. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 90 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
90citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

90 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  7. Causal inference in genetic trio studies.Proceedings of the National Academy of Sciences of the United States of America · 2020
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  10. Small duct primary sclerosing cholangitis without inflammatory bowel disease is genetically different from large duct disease.Liver international : official journal of the International Association for the Study of the Liver · 2014
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  17. Analytical methods for disease association studies with immunogenetic data.Methods in molecular biology (Clifton, N.J.) · 2012
    Article
  18. Article
  19. Article
  20. Review

30 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

1 author.

G ThomsonDepartment of Integrative Biology, University of California, Berkeley 94720-3140, USA.

Funding

MODELS IN POPULATION GENETICSR01HD012731 · NICHD · UNIVERSITY OF CALIFORNIA BERKELEY · PI THOMSON, GLENYS J · 1985 to 1996
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NICHD NIH HHS HD12731
6 · The paper itself

Abstract

With recent rapid advances in mapping of the human genome, including highly polymorphic and closely linked markers, studies of marker associations with disease are increasingly relevant for mapping disease genes. The use of nuclear-family data in association studies was initially developed to avoid possible ethnic mismatching between patients and randomly ascertained controls. The parental marker alleles not transmitted to an affected child or never transmitted to an affected sib pair form the so-called AFBAC (affected family-based controls) population. In this paper, the theoretical foundation of the AFBAC method is proved for any single-locus model of disease and for any nuclear family-based ascertainment scheme. In a random-mating population, when there is a marker association with disease, the AFBAC population provides an unbiased estimate of the overall population (control) marker alleles when the recombination fraction (theta) between the marker and disease genes is sufficiently small that it can be taken as zero (theta = 0). With population stratification, only marker associations present in the subpopulations will be detected with family-based analyses. Of more importance, however, is the fact that, when theta not equal to 0, differences between transmitted parental (patient) marker allele frequencies and non- or never-transmitted parental marker allele frequencies (implying a marker association with disease) can only be observed for marker genes linked to a disease gene (theta < 1/2). Thus, associations of unlinked marker loci with disease at the population level, caused by population stratification, migration, or admixture, are eliminated. This validates the use of family-based association tests as an appropriate strategy for mapping disease genes.

Indexed as

Chromosome MappingModels, GeneticFamilyGenetic Diseases, InbornGenetic LinkageHumansLod ScorePedigree

Identifiers

PMID7668275
PMCPMC1801554

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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.