Evidence map›Paper›PMID 21270512›Full record

ArticleJournal of endocrinological investigation2011

Two novel DAX1 gene mutations in Chinese patients with X-linked adrenal hypoplasia congenita: clinical, hormonal and genetic analysis.

C M Wu, H B Zhang, Q Zhou, L Wan, J Jin, L Ni, Y J Pan, X Y Wu, L Y Ruan

Abstract read
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Article in Journal of endocrinological investigation, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.1field-weighted citation impact, top 49% 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

5 citing papers in PubMed, 6 citations in OpenAlex.

  1. Review
  2. Article
  3. Gene mutations in Cushing's disease.Biomedical reports · 2016
    Article
  4. Article
  5. Hypogonadotropic hypogonadism in subjects with DAX1 mutations.Molecular and cellular endocrinology · 2011
    Review
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

9 authors at 2 institutions in 2 countries.

C M WuDepartment of Endocrinology, The Second Affiliated Hospital of Wenzhou Medical College, Wenzhou 325027, Zhejiang, China. wuchaoming2004@126.com
H B Zhang
Q Zhou
L Wan
J Jin
L Ni
Y J Pan
X Y Wu
L Y Ruan
Wenzhou Medical University · CNChinese Academy of Medical Sciences & Peking Union Medical College · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Mutations in the DAX1 gene result in X-linked congenital adrenal hypoplasia (AHC). Affected boys usually present with primary adrenal failure in early infancy or childhood and hypogonadotropic hypogonadism (HH) at puberty. This paper describes the clinical, hormonal, radiological, and genetic characteristics of 2 Chinese patients with X-linked AHC. Primary adrenal insufficiency occurred in the 2 patients during their childhood and HH was recognized at puberty. Genomic DNA was extracted from their peripheral blood leukocytes and coding sequence abnormalities of the DAX1 gene were assessed by PCR and direct sequencing analysis. Genetic analysis of the DAX1 gene revealed 2 novel mutations c.572-575 dupGGGC, p.Thr193Gly,fs,205X and c.773- 774 dupCC, p.Ser259Pro,fs,264X in exon 1, causing frameshifts and yeilding premature stop codons at 205 and 264, respectively. This study identifies 2 novel mutations in the DAX1 gene which can further expand the mutation database and benefit patients in the diagnosis and treatment of AHC.

Indexed as

MutationAdrenal Hyperplasia, CongenitalAdrenal InsufficiencyAdultAsian PeopleBase SequenceChildDAX-1 Orphan Nuclear ReceptorDNA Mutational AnalysisFemaleGenetic Diseases, X-LinkedGenetic TestingHumansHypoadrenocorticism, FamilialHypogonadismMaleDAX-1 Orphan Nuclear ReceptorNR0B1 protein, human

Identifiers

PMID21270512
OpenAlexW52826361

What OpenQuestion holds

Textmetadata
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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.