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Variants in congenital hypogonadotrophic hypogonadism genes identified in an Indonesian cohort of 46,XY under-virilised boys

Overview of attention for article published in Human Genomics, February 2017
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Title
Variants in congenital hypogonadotrophic hypogonadism genes identified in an Indonesian cohort of 46,XY under-virilised boys
Published in
Human Genomics, February 2017
DOI 10.1186/s40246-017-0098-2
Pubmed ID
Authors

Katie L. Ayers, Aurore Bouty, Gorjana Robevska, Jocelyn A. van den Bergen, Achmad Zulfa Juniarto, Nurin Aisyiyah Listyasari, Andrew H. Sinclair, Sultana M. H. Faradz

Abstract

Congenital hypogonadotrophic hypogonadism (CHH) and Kallmann syndrome (KS) are caused by disruption to the hypothalamic-pituitary-gonadal (H-P-G) axis. In particular, reduced production, secretion or action of gonadotrophin-releasing hormone (GnRH) is often responsible. Various genes, many of which play a role in the development and function of the GnRH neurons, have been implicated in these disorders. Clinically, CHH and KS are heterogeneous; however, in 46,XY patients, they can be characterised by under-virilisation phenotypes such as cryptorchidism and micropenis or delayed puberty. In rare cases, hypospadias may also be present. Here, we describe genetic mutational analysis of CHH genes in Indonesian 46,XY disorder of sex development patients with under-virilisation. We present 11 male patients with varying degrees of under-virilisation who have rare variants in known CHH genes. Interestingly, many of these patients had hypospadias. We postulate that variants in CHH genes, in particular PROKR2, PROK2, WDR11 and FGFR1 with CHD7, may contribute to under-virilisation phenotypes including hypospadias in Indonesia.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 51 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 51 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 9 18%
Researcher 6 12%
Student > Master 6 12%
Student > Ph. D. Student 4 8%
Other 3 6%
Other 7 14%
Unknown 16 31%
Readers by discipline Count As %
Medicine and Dentistry 17 33%
Biochemistry, Genetics and Molecular Biology 6 12%
Nursing and Health Professions 3 6%
Agricultural and Biological Sciences 2 4%
Arts and Humanities 1 2%
Other 2 4%
Unknown 20 39%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 21 February 2017.
All research outputs
#16,584,977
of 25,382,440 outputs
Outputs from Human Genomics
#366
of 564 outputs
Outputs of similar age
#195,347
of 319,461 outputs
Outputs of similar age from Human Genomics
#4
of 5 outputs
Altmetric has tracked 25,382,440 research outputs across all sources so far. This one is in the 34th percentile – i.e., 34% of other outputs scored the same or lower than it.
So far Altmetric has tracked 564 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.0. This one is in the 34th percentile – i.e., 34% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 319,461 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 38th percentile – i.e., 38% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 5 others from the same source and published within six weeks on either side of this one.