Evidence map›Paper›PMID 10330364›Full record

ArticleAmerican journal of human genetics1999

Disequilibrium mapping of a quantitative-trait locus in an expanding population.

M Slatkin

Abstract read
In one paragraph

Article in American journal of human genetics, 1999. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed
–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

25 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Analysis of Sequence Data Under Multivariate Trait-Dependent Sampling.Journal of the American Statistical Association · 2015
    Article
  5. Article
  6. Article
  7. Quantitative trait analysis in sequencing studies under trait-dependent sampling.Proceedings of the National Academy of Sciences of the United States of America · 2013
    Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. A powerful score test to detect positive selection in genome-wide scans.European journal of human genetics : EJHG · 2010
    Article
  14. Article
  15. Article
  16. Article
  17. Review
  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

1 author.

M SlatkinDepartment of Integrative Biology, University of California, Berkeley, CA 94720-3140, USA. slatkin@socrates.berkeley.edu

Funding

MODELS OF COMPLEX GENETIC SYSTEMSR01GM040282 · NIGMS · UNIVERSITY OF CALIFORNIA BERKELEY · PI SLATKIN, MONTGOMERY WILSON · 1988 to 2017
$4.4M
NIGMS NIH HHS GM40282
6 · The paper itself

Abstract

Linkage disequilibrium (LD) mapping can be successful if there is strong nonrandom association between marker alleles and an allele affecting a trait of interest. The principles of LD mapping of dichotomous traits are well understood, but less is known about LD mapping of a quantitative-trait locus (QTL). It is shown in this report that selective genotyping can increase the power to detect and map a rare allele of large effect at a QTL. Two statistical tests of the association between an allele and a quantitative character are proposed. These tests are approximately independent, so information from them can be combined. Analytic theory is developed to show that these two tests are effective in detecting the presence of a low-frequency allele with a relatively large effect on the character when the QTL is either already a candidate locus or closely linked to a marker locus that is in strong LD with the QTL. The latter situation is expected in a rapidly growing population in which the allele of large effect was present initially in one copy. Therefore, the proposed tests are useful under the same conditions as those for successful LD mapping of a dichotomous trait or disease. Simulations show that, for detection of the presence of a QTL, these tests are more powerful than a simple t-test. The tests also provide a basis for defining a measure of association, gamma, between a low-frequency allele at a putative QTL and a low-frequency allele at a marker locus.

Indexed as

Genetics, PopulationLinkage DisequilibriumQuantitative Trait, HeritableHumans

Identifiers

PMID10330364
PMCPMC1377920

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.