Evidence map›Paper›PMID 16680198›Full record

ArticlePLoS genetics2006

High-resolution recombination patterns in a region of human chromosome 21 measured by sperm typing.

Irene Tiemann-Boege, Peter Calabrese, David M Cochran, Rebecca Sokol, Norman Arnheim

Open access · goldAbstract read
In one paragraph

Article in PLoS genetics, 2006. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 40 papers.

0numbers the graph read from it
0cells of the map it votes in
40citing papers in PubMed
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

40 citing papers in PubMed, 77 citations in OpenAlex.

  1. Article
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  4. An Ultra High-DensityGenetics · 2019
    Article
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  10. The consequences of sequence erosion in the evolution of recombination hotspots.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2017
    Review
  11. Article
  12. Article
  13. Crossovers are associated with mutation and biased gene conversion at recombination hotspots.Proceedings of the National Academy of Sciences of the United States of America · 2015
    Article
  14. Article
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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

5 authors at 1 institution in 1 country.

Irene Tiemann-BoegeMolecular and Computational Biology Program, University of Southern California, Los Angeles, California, USA.
Peter Calabrese
David M Cochran
Rebecca Sokol
Norman Arnheim
University of Southern California · US

Funding

Implications of haplotype structure in the human genomeP50HG002790 · NHGRI · UNIVERSITY OF SOUTHERN CALIFORNIA · PI TAVARE, SIMON · 2003 to 2013
$29.9M
GENETIC &MOLECULAR STUDIES OF HUMAN &MOUSE RDNAR01GM036745 · NIGMS · UNIVERSITY OF SOUTHERN CALIFORNIA · PI ARNHEIM, NORMAN, CALABRESE, PETER PAUL · 1985 to 2017
$8.5M
GENETICS STUDIES USING SPERM TYPINGR37GM036745 · NIGMS · UNIVERSITY OF SOUTHERN CALIFORNIA · PI ARNHEIM, NORMAN · 1992 to 2001
$1.5M
NHGRI NIH HHS P50 HG002790NIGMS NIH HHS GM36745NIGMS NIH HHS R01 GM036745NIGMS NIH HHS R37 GM036745
6 · The paper itself

Abstract

For decades, classical crossover studies and linkage disequilibrium (LD) analysis of genomic regions suggested that human meiotic crossovers may not be randomly distributed along chromosomes but are focused instead in "hot spots." Recent sperm typing studies provided data at very high resolution and accuracy that defined the physical limits of a number of hot spots. The data were also used to test whether patterns of LD can predict hot spot locations. These sperm typing studies focused on several small regions of the genome already known or suspected of containing a hot spot based on the presence of LD breakdown or previous experimental evidence of hot spot activity. Comparable data on target regions not specifically chosen using these two criteria is lacking but is needed to make an unbiased test of whether LD data alone can accurately predict active hot spots. We used sperm typing to estimate recombination in 17 almost contiguous ~5 kb intervals spanning 103 kb of human Chromosome 21. We found two intervals that contained new hot spots. The comparison of our data with recombination rates predicted by statistical analyses of LD showed that, overall, the two datasets corresponded well, except for one predicted hot spot that showed little crossing over. This study doubles the experimental data on recombination in men at the highest resolution and accuracy and supports the emerging genome-wide picture that recombination is localized in small regions separated by cold areas. Detailed study of one of the new hot spots revealed a sperm donor with a decrease in recombination intensity at the canonical recombination site but an increase in crossover activity nearby. This unique finding suggests that the position and intensity of hot spots may evolve by means of a concerted mechanism that maintains the overall recombination intensity in the region.

Indexed as

Chromosomes, Human, Pair 21Recombination, GeneticChromosome MappingCrossing Over, GeneticGenetic VariationHaplotypesHumansMaleMeiosisModels, StatisticalPolymorphism, GeneticSpermatozoa

Identifiers

PMID16680198
PMCPMC1456319
OpenAlexW2077357134

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.