Evidence map›Paper›PMID 17185644›Full record

ArticleGenome research2007

Evidence for large inversion polymorphisms in the human genome from HapMap data.

Vikas Bansal, Ali Bashir, Vineet Bafna

Open access · bronzeAbstract read
In one paragraph

Article in Genome research, 2007. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 41 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
41citing papers in PubMed, 1 pooled it
–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

41 citing papers in PubMed, 1 synthesis or guideline pooled it, 109 citations in OpenAlex.

  1. Pooled it
  2. Benchmark for simple and complex genome inversions.bioRxiv : the preprint server for biology · 2025
    Article
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  18. Human inversions and their functional consequences.Briefings in functional genomics · 2015
    Review
  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.

Vikas BansalDepartment of Computer Science and Engineering, University of California San Diego, La Jolla, California 92093-0004, USA. vibansal@cs.ucsd.edu
Ali Bashir
Vineet Bafna
University of California San Diego · US

Funding

Algorithmic strategies for detecting structural variation in genomesR01HG004962 · NHGRI · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI BAFNA, VINEET · 2009 to 2012
$1.3M
NHGRI NIH HHS R01 HG004962
6 · The paper itself

Abstract

Knowledge about structural variation in the human genome has grown tremendously in the past few years. However, inversions represent a class of structural variation that remains difficult to detect. We present a statistical method to identify large inversion polymorphisms using unusual Linkage Disequilibrium (LD) patterns from high-density SNP data. The method is designed to detect chromosomal segments that are inverted (in a majority of the chromosomes) in a population with respect to the reference human genome sequence. We demonstrate the power of this method to detect such inversion polymorphisms through simulations done using the HapMap data. Application of this method to the data from the first phase of the International HapMap project resulted in 176 candidate inversions ranging from 200 kb to several megabases in length. Our predicted inversions include an 800-kb polymorphic inversion at 7p22, a 1.1-Mb inversion at 16p12, and a novel 1.2-Mb inversion on chromosome 10 that is supported by the presence of two discordant fosmids. Analysis of the genomic sequence around inversion breakpoints showed that 11 predicted inversions are flanked by pairs of highly homologous repeats in the inverted orientation. In addition, for three candidate inversions, the inverted orientation is represented in the Celera genome assembly. Although the power of our method to detect inversions is restricted because of inherently noisy LD patterns in population data, inversions predicted by our method represent strong candidates for experimental validation and analysis.

Indexed as

Chromosome InversionGenome, HumanPolymorphism, GeneticBiometryChromosome MappingDatabases, GeneticFalse Positive ReactionsGenetic TechniquesHaplotypesHumansLinkage DisequilibriumModels, GeneticPolymorphism, Single NucleotideSequence Analysis, DNA

Identifiers

PMID17185644
PMCPMC1781354
OpenAlexW2053600190

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.