Evidence map›Paper›PMID 11410841›Full record

ArticleAmerican journal of human genetics2001

High-resolution multipoint linkage-disequilibrium mapping in the context of a human genome sequence.

B Rannala, J P Reeve

Open access · bronzeAbstract read
In one paragraph

Article in American journal of human genetics, 2001. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 40 papers.

0numbers the graph read from it
0cells of the map it votes in
40citing papers in PubMed
4.4field-weighted citation impact, top 5% 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

40 citing papers in PubMed, 113 citations in OpenAlex.

  1. Trial
  2. Review
  3. A novel intronic mutation ofMolecular vision · 2019
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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.

B RannalaDepartment of Medical Genetics, University of Alberta, Edmonton, Alberta T6G 2H7, Canada. brannala@ualberta.ca
J P Reeve
University of Alberta · CA

Funding

DISEQUILIBRIUM MAPPING OF COMPLEX GENETIC DISEASESR01HG001988 · NHGRI · UNIVERSITY OF CALIFORNIA DAVIS · PI RANNALA, BRUCE · 1999 to 2011
$1.4M
NHGRI NIH HHS R01 HG001988
6 · The paper itself

Abstract

A new method is presented for fine-scale linkage disequilibrium (LD) mapping of a disease mutation; it uses multiple linked single-nucleotide polymorphisms, restriction-fragment-length polymorphisms, or microsatellite markers and incorporates information from an annotated human genome sequence (HGS) and from a human mutation database. The method takes account of population demographic effects, using Markov chain Monte Carlo methods to integrate over the unknown gene genealogy and gene coalescence times. Information about the relative frequency of disease mutations in exons, introns, and other regions, from mutational databases, as well as assumptions about the completeness of the gene annotation, are used with an annotated HGS, to generate a prior probability that a mutation lies at any particular position in a specified region of the genome. This information is updated with information about mutation location, from LD at a set of linked markers in the region, to generate the posterior probability density of the mutation location. The performance of the method is evaluated by simulation and by analysis of a data set for diastrophic dysplasia (DTD) in Finland. The DTD disease gene has been positionally cloned, so the actual location of the mutation is known and can be compared with the position predicted by our method. For the DTD data, the addition of information from an HGS results in disease-gene localization at a resolution that is much higher than that which would be possible by LD mapping alone. In this case, the gene would be found by sequencing a region < or =7 kb in size.

Indexed as

Genome, HumanGenomicsAlgorithmsAnion Transport ProteinsBayes TheoremBone Diseases, DevelopmentalCarrier ProteinsChromosome MappingChromosomes, Human, Pair 5Computer SimulationDatabases as TopicFinlandGene FrequencyGenetic Diseases, InbornHaplotypesHumansAnion Transport ProteinsCarrier ProteinsMembrane Transport ProteinsSLC26A2 protein, humanSulfate Transporters

Identifiers

PMID11410841
PMCPMC1226031
OpenAlexW2166969139

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.