Evidence map›Paper›PMID 18519066›Full record

ArticleAmerican journal of human genetics2008

Detection, imputation, and association analysis of small deletions and null alleles on oligonucleotide arrays.

Lude Franke, Carolien G F de Kovel, Yurii S Aulchenko, Gosia Trynka, Alexandra Zhernakova, Karen A Hunt, Hylke M Blauw, Leonard H van den Berg, Roel Ophoff, Panagiotis Deloukas and 2 more

Open access · bronzeAbstract read
In one paragraph

Article in American journal of human genetics, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed, 2 pooled it
4.8field-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

20 citing papers in PubMed, 2 syntheses or guidelines pooled it, 45 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Article
  5. X-Chromosome Association Study in Latin American Cohorts Identifies New Loci in Parkinson's Disease.Movement disorders : official journal of the Movement Disorder Society · 2023
    Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Genotype imputation.Annual review of genomics and human genetics · 2009
    Review
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

12 authors at 4 institutions in 2 countries.

Lude FrankeComplex Genetics Section, DBG-Department of Medical Genetics, University Medical Centre Utrecht, 3584 CG Utrecht, The Netherlands.
Carolien G F de Kovel
Yurii S Aulchenko
Gosia Trynka
Alexandra Zhernakova
Karen A Hunt
Hylke M Blauw
Leonard H van den Berg
Roel Ophoff
Panagiotis Deloukas
David A van Heel
Cisca Wijmenga
University Medical Center Utrecht · NLUniversity of Groningen · NLErasmus University Rotterdam · NLUniversity of California, Los Angeles · US

Funding

Medical Research Council G0000934Wellcome TrustWellcome Trust 068545/Z/02Wellcome Trust GR068094MA
6 · The paper itself

Abstract

Copy-number variation (CNV) is a major contributor to human genetic variation. Recently, CNV associations with human disease have been reported. Many genome-wide association (GWA) studies in complex diseases have been performed with sets of biallelic single-nucleotide polymorphisms (SNPs), but the available CNV methods are still limited. We present a new method (TriTyper) that can infer genotypes in case-control data sets for deletion CNVs, or SNPs with an extra, untyped allele at a high-resolution single SNP level. By accounting for linkage disequilibrium (LD), as well as intensity data, calling accuracy is improved. Analysis of 3102 unrelated individuals with European descent, genotyped with Illumina Infinium BeadChips, resulted in the identification of 1880 SNPs with a common untyped allele, and these SNPs are in strong LD with neighboring biallelic SNPs. Simulations indicate our method has superior power to detect associations compared to biallelic SNPs that are in LD with these SNPs, yet without increasing type I errors, as shown in a GWA analysis in celiac disease. Genotypes for 1204 triallelic SNPs could be fully imputed, with only biallelic-genotype calls, permitting association analysis of these SNPs in many published data sets. We estimate that 682 of the 1655 unique loci reflect deletions; this is on average 99 deletions per individual, four times greater than those detected by other methods. Whereas the identified loci are strongly enriched for known deletions, 61% have not been reported before. Genes overlapping with these loci more often have paralogs (p = 0.006) and biologically interact with fewer genes than expected (p = 0.004).

Indexed as

Gene DeletionGene DosageAlgorithmsAllelesCase-Control StudiesCeliac DiseaseDatabases, GeneticGenetic VariationHumansLinkage DisequilibriumOligonucleotide Array Sequence AnalysisPolymorphism, Single Nucleotide

Identifiers

PMID18519066
PMCPMC2427186
OpenAlexW2136035537

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.