Evidence map›Paper›PMID 12446985›Full record

ArticleHuman heredity2002

Map error reduction: using genetic and sequence-based physical maps to order closely linked markers.

Andrew T DeWan, Antonio R Parrado, Tara C Matise, Suzanne M Leal

Abstract read
In one paragraph

Article in Human heredity, 2002. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

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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

4 citing papers in PubMed.

  1. Article
  2. An updated 'Essex' by 'Forrest' linkage map and first composite interval map of QTL underlying six soybean traits.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2006
    Article
  3. Article
  4. 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

4 authors.

Andrew T DeWanThe Laboratory of Statistical Genetics, The Rockefeller University, New York, NY, USA.
Antonio R Parrado
Tara C Matise
Suzanne M Leal

Funding

Identification of Nonsyndromic Hearing Impairment GenesR01DC003594 · NIDCD · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI SUZANNE M LEAL · 2004 to 2026
$7.7M
LINKAGE ANALYSIS METHODS FOR HUMAN GENE MAPPINGR01HG000008 · NHGRI · ROCKEFELLER UNIVERSITY · PI OTT, JURG · 1990 to 2004
$1.2M
QUANTITATIVE METHODS TO MAP GENES FOR COMPLEX TRAITSR01MH059492 · NIMH · ROCKEFELLER UNIVERSITY · PI OTT, JURG · 2000 to 2002
$415k
INTEGRATED MAPS USING RADIATION HYBRIDSR29HG001691 · NHGRI · RUTGERS THE ST UNIV OF NJ NEW BRUNSWICK · PI MATISE, TARA C. · 1998 to 2002
$371k
ISOLATION OF NON SYNDROMIC HEARING LOSS GENESR29DC003594 · NIDCD · ROCKEFELLER UNIVERSITY · PI LEAL, SUZANNE MARGARET · 1998 to 2002
$345k
NHGRI NIH HHS HG00008NHGRI NIH HHS HG01691NHGRI NIH HHS R01 HG000008NIDCD NIH HHS DC03594NIDCD NIH HHS R01 DC003594NIDCD NIH HHS R29 DC003594NIMH NIH HHS MH59492
6 · The paper itself

Abstract

The Marshfield comprehensive genetic maps are frequently used for linkage and association studies, however, for some regions of these maps the marker order has low level of likelihood ratio support. In order to investigate the level of statistical support and the accuracy of the genetic maps compared to sequence-based physical maps, two approximately 30 cM autosomal regions were selected. The first region was selected from chromosome 3 and consisted predominately of draft sequence. The second region was selected from chromosome 21 and consisted of finished sequence data. The physical order of these markers was based upon their position on Celera (CEL) and Human Genome Project-Santa Cruz (HGP-sc) sequence-based physical maps. The chromosome 3 and 21 regions contained 100 and 61 markers, respectively, on the Marshfield genetic map. The genetic and physical map order was consistent for 88.9 and 89.2% of the markers in the region on chromosome 3 and 21, respectively. Using a novel scoring criterion to assess inconsistent marker order between genetic and physical maps, it was determined that the physical order was likely the correct order for 3.3 and 7.1% of the markers in the chromosome 3 and 21 regions, respectively. To increase the accuracy of the order of markers selected for fine mapping a method is presented which combines information from genetic and sequence-based physical maps.

Indexed as

Genetic LinkageGenetic MarkersPhysical Chromosome MappingHumansGenetic Markers

Identifiers

PMID12446985
PMCPMC6143171

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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.