Evidence map›Paper›PMID 10523526›Full record

ArticleGenome research1999

A comprehensive view of human chromosome 1.

P S White, E P Sulman, C J Porter, T C Matise

Abstract read
In one paragraph

Article in Genome research, 1999. 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

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

4 citing papers in PubMed.

  1. Article
  2. 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.

P S WhiteDivision of Oncology, The Children's Hospital of Philadelphia, Philadelphia, Pennsylvania 19104 USA. white@genome.chop.edu
E P Sulman
C J Porter
T C Matise

Funding

LINKAGE ANALYSIS METHODS FOR HUMAN GENE MAPPINGR01HG000008 · NHGRI · ROCKEFELLER UNIVERSITY · PI OTT, JURG · 1990 to 2004
$1.2M
INTEGRATED MAPS USING RADIATION HYBRIDSR29HG001691 · NHGRI · RUTGERS THE ST UNIV OF NJ NEW BRUNSWICK · PI MATISE, TARA C. · 1998 to 2002
$371k
NHGRI NIH HHS HG00008NHGRI NIH HHS HG01691NHGRI NIH HHS R01 HG000008
6 · The paper itself

Abstract

Comprehensive representations of human chromosomes combining diverse genomic data sets, localizing expressed sequences, and reflecting physical distance are essential for disease gene identification and sequencing efforts. We have developed a method (CompView) for integrating genomic information derived from available cytogenetic, genetic linkage, radiation hybrid, physical, and transcript-based mapping approaches. CompView generates chromosome representations with substantially higher resolution, coverage, and integration than current maps of the human genome. The CompView process was used to build a representation of human chromosome 1, yielding a map with >13,000 unique elements, an effective resolution of 910 kb, and a marker density of 50 kb. CompView creates comprehensive and fully integrated depictions of a chromosome's clinical, biological, and structural information.

Indexed as

Chromosomes, Human, Pair 1GenomeChromosome MappingChromosomes, Artificial, YeastDatabases, FactualExpressed Sequence TagsGenetic LinkageGenetic MarkersHumansMicrosatellite RepeatsModels, GeneticPhysical Chromosome MappingRNA, MessengerGenetic MarkersRNA, Messenger

Identifiers

PMID10523526
PMCPMC310818

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.