Evidence map›Paper›PMID 12838396›Full record

ArticleJournal of human genetics2003

CpG dinucleotide methylation patterns in the human androgen receptor gene and X-chromosome inactivation in peripheral blood leukocytes of phenotypically normal women.

Kazuyo Sato, Masaki Hashiyada, Shigeki Uehara, Masayuki Nata, Kunihiro Okamura

Open access · bronzeAbstract read
PubMed Publisher
In one paragraph

Article in Journal of human genetics, 2003. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.2field-weighted citation impact, top 42% 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

3 citing papers in PubMed, 7 citations in OpenAlex.

  1. Article
  2. Article
  3. 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

5 authors at 2 institutions in 1 country.

Kazuyo SatoDepartment of Obstetrics and Gynecology, Tohoku University Graduate School of Medicine, 1-1 Seiryo-machi, Aoba-ku, Sendai 980-8574, Japan. kazusato@ob-gy.med.tohoku.ac.jp
Masaki Hashiyada
Shigeki Uehara
Masayuki Nata
Kunihiro Okamura
Tohoku University · JPKKR Tohoku Kosai Hospital · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

To evaluate methylation patterns in CpG dinucleotides (CpGs) of the human androgen receptor gene ( HUMARA) and X-chromosome inactivation (XCI) status in phenotypically normal women in a general population, bisulfite genomic sequencing and methylation-specific PCR of genomic DNA extracted from peripheral blood samples of 124 phenotypically normal women were examined. CpGs methylation patterns were based on bisulfite genomic sequencing of the region containing nine CpGs in the HUMARA exon 1. The results of methylation status in CpGs from 43 independent colonies of 14 women revealed that not all CpGs were methylated even in highly methylated HUMARA alleles, and that the methylation status in CpGs varied between clones, by the position of CpGs methylation and in each subject. Evaluation of XCI was based on the method of an HUMARA (CAG)n polymorphism assay after bisulfite modification of DNA samples. The HUMARA allele size ratios of the women (82 heterozygotes) varied over a wide range and the distribution patterns of the ratios approached a 'normal distribution'. Since excessive skewing of XCI was observed in 11-12% of women, female carriers of an X-linked hereditary disease manifest its clinical symptoms or signs possibly in maximum 5-6%.

Indexed as

Chromosomes, Human, XCpG IslandsDNA MethylationDosage Compensation, GeneticAdultAllelesBase SequenceExonsFemaleHeterozygoteHumansLeukocytes, MononuclearMiddle AgedMolecular Sequence DataPhenotypePolymerase Chain ReactionReceptors, AndrogenSulfites

Identifiers

PMID12838396
OpenAlexW2027229827

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.