Evidence map›Paper›PMID 21597963›Full record

ArticleHuman genetics2011

Chromosome-wide DNA methylation analysis predicts human tissue-specific X inactivation.

Allison M Cotton, Lucia Lam, Joslynn G Affleck, Ian M Wilson, Maria S Peñaherrera, Deborah E McFadden, Michael S Kobor, Wan L Lam, Wendy P Robinson, Carolyn J Brown

Open access · hybridAbstract read
In one paragraph

Article in Human genetics, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 84 papers.

0numbers the graph read from it
0cells of the map it votes in
84citing papers in PubMed
6.3field-weighted citation impact, top 3% 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

84 citing papers in PubMed, 152 citations in OpenAlex.

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24 more citing papers are in PubMed but not listed here.

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

10 authors at 3 institutions in 1 country.

Allison M CottonDepartment of Medical Genetics, University of British Columbia, Vancouver, BC, Canada.
Lucia Lam
Joslynn G Affleck
Ian M Wilson
Maria S Peñaherrera
Deborah E McFadden
Michael S Kobor
Wan L Lam
Wendy P Robinson
Carolyn J Brown
University of British Columbia · CAChild and Family Research Institute · CAPacific Centre for Reproductive Medicine · CA

Funding

Socioeconomic and Neuroendocrine Determinants of Fetal Loss and Perinatal ComplicR24MH081797 · NIMH · UNIVERSITY OF CALIFORNIA BERKELEY · PI BOYCE, THOMAS W · 2007 to 2010
$2.8M
CIHR GMH-79041CIHR MOP-13690NIMH NIH HHS R24 MH081797NIMH NIH HHS R24MH-081797-01
6 · The paper itself

Abstract

X-chromosome inactivation (XCI) results in the differential marking of the active and inactive X with epigenetic modifications including DNA methylation. Consistent with the previous studies showing that CpG island-containing promoters of genes subject to XCI are approximately 50% methylated in females and unmethylated in males while genes which escape XCI are unmethylated in both sexes; our chromosome-wide (Methylated DNA ImmunoPrecipitation) and promoter-targeted methylation analyses (Illumina Infinium HumanMethylation27 array) showed the largest methylation difference (D = 0.12, p < 2.2 E-16) between male and female blood at X-linked CpG islands promoters. We used the methylation differences between males and females to predict XCI statuses in blood and found that 81% had the same XCI status as previously determined using expression data. Most genes (83%) showed the same XCI status across tissues (blood, fetal: muscle, kidney and nerual); however, the methylation of a subset of genes predicted different XCI statuses in different tissues. Using previously published expression data the effect of transcription on gene-body methylation was investigated and while X-linked introns of highly expressed genes were more methylated than the introns of lowly expressed genes, exonic methylation did not differ based on expression level. We conclude that the XCI status predicted using methylation of X-linked promoters with CpG islands was usually the same as determined by expression analysis and that 12% of X-linked genes examined show tissue-specific XCI whereby a gene has a different XCI status in at least one of the four tissues examined.

Indexed as

Computational BiologyCpG IslandsDecision TreesDNA MethylationFemaleHumansImmunoprecipitationMaleOrgan SpecificityPolymerase Chain ReactionPromoter Regions, GeneticSex FactorsStatistics, NonparametricX Chromosome Inactivation

Identifiers

PMID21597963
PMCPMC3132437
OpenAlexW2004256856

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.