Evidence map›Paper›PMID 9382093›Full record

ArticleAmerican journal of human genetics1997

Genome scanning for segments shared identical by descent among distant relatives in isolated populations.

L K Durham, E Feingold

Abstract readComparative Study
In one paragraph

Article in American journal of human genetics, 1997. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Prospects for whole genome linkage disequilibrium mapping in domestic dog breeds.Mammalian genome : official journal of the International Mammalian Genome Society · 2003
    Article
  8. Article
  9. Article
  10. Article
  11. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

2 authors.

L K DurhamDepartment of Biostatistics, The Rollins School of Public Health, Emory University, Atlanta, USA.
E Feingold

Funding

STATISTICAL METHODS FOR IDENTITY-BY-DESCENT MAPSR01HG000848 · NHGRI · STANFORD UNIVERSITY · PI SIEGMUND, DAVID O · 1994 to 2008
$691k
STATISTICAL AND CLINICAL RESEARCH TRAINING ON AIDST32AI007442 · NIAID · EMORY UNIVERSITY · PI HALLORAN, M ELIZABETH · 1992 to 2001
$238k
NHGRI NIH HHS R01-HG00848-01A1NIAID NIH HHS T32-AI07442
6 · The paper itself

Abstract

In this paper, we address some of the statistical issues concerning false-positive rates that arise when the whole genome, or a portion thereof, is scanned in distantly related individuals, to search for a disease locus. We derive a method for correcting false-positive probabilities for the large number of comparisons that are performed when scanning a large portion of the genome. We consider both the idealized situation of a dense set of fully informative markers and the more realistic data-collection strategy of an initial scan at low resolution to identify promising areas, which then are typed with markers at high resolution. We also examine the accuracy of false-positive rates approximated using a conservative estimate of the separation distance between affected individuals in the current generation and the common ancestral couple. Calculation of false-positive rates when inbreeding is present in the pedigree also is considered.

Indexed as

Genetic LinkageGenome, HumanModels, GeneticPedigreeAllelesChromosomes, HumanConsanguinityFalse Positive ReactionsFamilyFemaleGenetic Diseases, InbornGenetic TechniquesHumansMaleProbability

Identifiers

PMID9382093
PMCPMC1715979

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.