Evidence map›Paper›PMID 1746559›Full record

ReviewAmerican journal of human genetics1991

A random walk method for computing genetic location scores.

K Lange, E Sobel

Abstract readReview
In one paragraph

Review in American journal of human genetics, 1991. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers.

0numbers the graph read from it
0cells of the map it votes in
33citing 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

33 citing papers in PubMed.

  1. Article
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  6. Efficient identification of equivalences in dynamic graphs and pedigree structures.Journal of computational biology : a journal of computational molecular cell biology · 2013
    Article
  7. Review
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  9. Improving pedigree-based linkage analysis by estimating coancestry among families.Statistical applications in genetics and molecular biology · 2012
    Article
  10. Article
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  14. Article
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  20. An approximation to the likelihood for a pedigree with loops.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 1996
    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.

K LangeDepartment of Biomathematics, School of Medicine, University of California, Los Angeles 90024-1766.
E Sobel

Funding

Women's CancersP30CA016042 · NCI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI Samuel Wheeler French · 1985 to 2026
$134.5M
NCI NIH HHS CA 16042
6 · The paper itself

Abstract

Calculation of location scores is one of the most computationally intensive tasks in modern genetics. Since these scores are crucial in placing disease loci on marker maps, there is ample incentive to pursue such calculations with large numbers of markers. However, in contrast to the simple, standardized pedigrees used in making marker maps, disease pedigrees are often graphically complex and sparsely phenotyped. These complications can present insuperable barriers to exact likelihood calculations with more than a few markers simultaneously. To overcome these barriers we introduce in the present paper a random walk method for computing approximate location scores with large numbers of biallelic markers. Sufficient mathematical theory is developed to explain the method. Feasibility is checked by small-scale simulations for two applications permitting exact calculation of location scores.

Indexed as

Genetic MarkersPedigreeChromosome WalkingHumansGenetic Markers

Identifiers

PMID1746559
PMCPMC1686461

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.