Evidence map›Paper›PMID 16323010›Full record

ReviewHuman genetics2006

Evaluating HapMap SNP data transferability in a large-scale genotyping project involving 175 cancer-associated genes.

Gloria Ribas, Anna González-Neira, Antonio Salas, Roger L Milne, Ana Vega, Begoña Carracedo, Emilio González, Eva Barroso, Lara P Fernández, Patricio Yankilevich and 3 more

Abstract readComparative StudyEvaluation StudyReview
PubMed Publisher
In one paragraph

Review in Human genetics, 2006. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing 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

27 citing papers in PubMed.

  1. Article
  2. Article
  3. Genetic Variations in Prostaglandin EInternational journal of molecular sciences · 2021
    Article
  4. Association betweenRadiology and oncology · 2017
    Article
  5. Article
  6. Article
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  11. APC Yin-Yang haplotype associated with colorectal cancer risk.Experimental and therapeutic medicine · 2010
    Article
  12. Article
  13. Article
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  15. Article
  16. Article
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  19. Article
  20. Comprehensive testing of positionally cloned asthma genes in two populations.American journal of respiratory and critical care medicine · 2007
    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

13 authors.

Gloria RibasGrupo de Genética Humana Programa de Patología Molecular, Centro Nacional de Investigaciones Oncológicas (CNIO), C/Melchor Fdz Almagro 3, E-28029 Madrid, Spain. gribas@cnio.es
Anna González-Neira
Antonio Salas
Roger L Milne
Ana Vega
Begoña Carracedo
Emilio González
Eva Barroso
Lara P Fernández
Patricio Yankilevich
Mercedes Robledo
Angel Carracedo
Javier Benítez

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

One of the many potential uses of the HapMap project is its application to the investigation of complex disease aetiology among a wide range of populations. This study aims to assess the transferability of HapMap SNP data to the Spanish population in the context of cancer research. We have carried out a genotyping study in Spanish subjects involving 175 candidate cancer genes using an indirect gene-based approach and compared results with those for HapMap CEU subjects. Allele frequencies were very consistent between the two samples, with a high positive correlation (R) of 0.91 (P<<1x10(-6)). Linkage disequilibrium patterns and block structures across each gene were also very similar, with disequilibrium coefficient (r (2)) highly correlated (R=0.95, P<<1x10(-6)). We found that of the 21 genes that contained at least one block larger than 60 kb, nine (ATM, ATR, BRCA1, ERCC6, FANCC, RAD17, RAD50, RAD54B and XRCC4) belonged to the GO category "DNA repair". Haplotype frequencies per gene were also highly correlated (mean R=0.93), as was haplotype diversity (R=0.91, P<<1x10(-6)). "Yin yang" haplotypes were observed for 43% of the genes analysed and 18% of those were identical to the ancestral haplotype (identified in Chimpazee). Finally, the portability of tagSNPs identified in the HapMap CEU data using pairwise r (2) thresholds of 0.8 and 0.5 was assessed by applying these to the Spanish and current HapMap data for 66 genes. In general, the HapMap tagSNPs performed very well. Our results show generally high concordance with HapMap data in allele frequencies and haplotype distributions and confirm the applicability of HapMap SNP data to the study of complex diseases among the Spanish population.

Indexed as

Genes, NeoplasmPolymorphism, Single NucleotideBiomarkers, TumorGene FrequencyGenome, HumanGenotypeHaplotypesHumansLinkage DisequilibriumBiomarkers, Tumor

Identifiers

What OpenQuestion holds

Textmetadata
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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.