Evidence map›Paper›PMID 10568748›Full record

ArticleGenome research1999

Identification of candidate coding region single nucleotide polymorphisms in 165 human genes using assembled expressed sequence tags.

K Garg, P Green, D A Nickerson

Open access · bronzeAbstract 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 29 papers.

0numbers the graph read from it
0cells of the map it votes in
29citing 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

29 citing papers in PubMed, 114 citations in OpenAlex.

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  6. Identification, validation and high-throughput genotyping of transcribed gene SNPs in cassava.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2012
    Article
  7. SNP markers and their impact on plant breeding.International journal of plant genomics · 2012
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  16. Characterisation of single nucleotide polymorphisms in sugarcane ESTs.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2006
    Article
  17. SNPServer: a real-time SNP discovery tool.Nucleic acids research · 2005
    Article
  18. Using cDNA and genomic sequences as tools to develop SNP strategies in cassava (Manihot esculenta Crantz).TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2005
    Article
  19. Article
  20. 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

3 authors at 1 institution in 1 country.

K GargDepartment of Molecular Biotechnology, University of Washington, Seattle, Washington 98195, USA. kavitag@u.washington.edu
P Green
D A Nickerson
University of Washington · US

Funding

GENOME DATA ANALYSIS--THEORY AND SOFTWARER01HG000774 · NHGRI · WASHINGTON UNIVERSITY · PI GREEN, PHILIP P · 1992 to 1999
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NHGRI NIH HHS HG00774
6 · The paper itself

Abstract

Using assembled expressed sequence tags (ESTs) from 50 different cDNA libraries, we have identified contigs that represent the complete coding sequences of 850 known human genes, and have scanned these for high quality sequence substitutions. We report the identification and characteristics of 201 candidate single nucleotide polymorphisms found in the coding sequences (cSNPs) of 165 of these genes. Using a conservative calculation, coding region nucleotide diversity (the average number of differences between any pair of chromosomes) was found to be 3 per 10,000 bp based on this data. This analysis reveals that assembled ESTs from multiple libraries may provide a rich source of comparative sequences to search for cSNPs in the human genome.

Indexed as

Expressed Sequence TagsAmino Acid SubstitutionContig MappingGene LibraryHumansPolymorphism, Single Nucleotide

Identifiers

PMID10568748
PMCPMC310835
OpenAlexW1974864257

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.