Evidence map›Paper›PMID 15716501›Full record

ArticleGenetics2005

Mutation rate variation at human dinucleotide microsatellites.

Hongyan Xu, Ranajit Chakraborty, Yun-Xin Fu

Abstract read
In one paragraph

Article in Genetics, 2005. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. The timing of pigmentation lightening in Europeans.Molecular biology and evolution · 2013
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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

3 authors.

Hongyan XuComputational Genomics Section, Human Genetics Center, University of Texas, Houston, 77030, USA. yunxin.fu@uth.tmc.edu
Ranajit Chakraborty
Yun-Xin Fu

Funding

COALESCENT THEORY AND ANALYIS OF DNA POLYMORPHISMSR01GM050428 · NIGMS · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · PI FU, YUN-XIN · 2000 to 2003
$737k
Statistical Methods for Studying Infectious diseaseR01GM060777 · NIGMS · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · PI FU, YUN-XIN · 2001 to 2004
$385k
COALESCENT THEORY AND ANALYSIS OF DNA POLYMORPHISMR29GM050428 · NIGMS · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · PI FU, YUN-XIN · 1994 to 1998
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NIGMS NIH HHS GM50428NIGMS NIH HHS GM60777NIGMS NIH HHS R01 GM050428NIGMS NIH HHS R01 GM060777NIGMS NIH HHS R29 GM050428
6 · The paper itself

Abstract

Mutation is the ultimate source of genetic variation, and mutation rate is thus an important parameter governing the extent of genetic variation. Microsatellites are highly informative genetic markers that have been widely used in genetic studies. While previous studies showed that the mutation rate differs in di-, tri-, and tetranucleotide repeats, how mutation rate distributes within each class of repeat is poorly understood. This study first revealed the pattern of the mutation rate variation within the dinucleotide repeats. Two data sets were used. The first is the allele frequency data from 115 microsatellites with dinucleotide repeats distributed along the human genome in 10 worldwide populations. The second data set is much larger, consisting of the allele frequency of 5252 dinucleotide repeats from the Genome Database. Mutation rate for each locus is estimated through a new homozygosity-based estimator, which has been shown to be unbiased and highly efficient and is reasonably robust against deviations from the single-step model. The mutation rates among loci can be approximated well by a gamma distribution and its shape parameter can be accurately estimated with this approach. This result provides the basic guidelines for analyzing the large-scale genomic data from microsatellite loci.

Indexed as

Dinucleotide RepeatsMutationAllelesData Interpretation, StatisticalGene FrequencyGenetic MarkersHumansGenetic Markers

Identifiers

PMID15716501
PMCPMC1449715

What OpenQuestion holds

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Registered trials

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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.