Evidence map›Paper›PMID 8651310›Full record

ArticleAmerican journal of human genetics1996

Descent graphs in pedigree analysis: applications to haplotyping, location scores, and marker-sharing statistics.

E Sobel, K Lange

Open access · greenAbstract read
In one paragraph

Article in American journal of human genetics, 1996. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 464 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
464citing papers in PubMed, 2 pooled it
6.5field-weighted citation impact, top 3% 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

464 citing papers in PubMed, 2 syntheses or guidelines pooled it, 1,181 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Trial
  4. Article
  5. Article
  6. Profile of Kenneth L. Lange.Proceedings of the National Academy of Sciences of the United States of America · 2023
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  7. Article
  8. Article
  9. Case report: Expanding the phenotype ofFrontiers in neurology · 2022
    Article
  10. Article
  11. Genotype phasing in pedigrees using whole-genome sequence data.European journal of human genetics : EJHG · 2020
    Article
  12. Article
  13. Article
  14. Article
  15. Article
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  17. Article
  18. Neurology · 2018
    Article
  19. Article
  20. Article

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

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.

E SobelDepartment of Genetics, Stanford University, USA.
K Lange
Stanford University · US

Funding

STATISTICAL METHODS FOR GENE MAPPINGR01GM053275 · NIGMS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI LANGE, KENNETH L · 1995 to 2019
$9.3M
NIGMS NIH HHS GM-53275
6 · The paper itself

Abstract

The introduction of stochastic methods in pedigree analysis has enabled geneticists to tackle computations intractable by standard deterministic methods. Until now these stochastic techniques have worked by running a Markov chain on the set of genetic descent states of a pedigree. Each descent state specifies the paths of gene flow in the pedigree and the founder alleles dropped down each path. The current paper follows up on a suggestion by Elizabeth Thompson that genetic descent graphs offer a more appropriate space for executing a Markov chain. A descent graph specifies the paths of gene flow but not the particular founder alleles traveling down the paths. This paper explores algorithms for implementing Thompson's suggestion for codominant markers in the context of automatic haplotyping, estimating location scores, and computing gene-clustering statistics for robust linkage analysis. Realistic numerical examples demonstrate the feasibility of the algorithms.

Indexed as

Chromosome MappingGenetic MarkersHaplotypesModels, GeneticModels, StatisticalPedigreeAllelesChromosomes, Human, Pair 12FemaleHumansMaleMarkov ChainsPhenotypeProbabilityRecombination, GeneticSoftwareGenetic Markers

Identifiers

PMID8651310
PMCPMC1915074
OpenAlexW1519466388

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.