ArticleJournal of assisted reproduction and genetics2015
Androgen receptor (AR) gene CAG trinucleotide repeat length associated with body composition measures in non-syndromic obese, non-obese and Prader-Willi syndrome individuals.
Article in Journal of assisted reproduction and genetics, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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.
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.
Who cites it
2 citing papers in PubMed, 5 citations in OpenAlex.
- Neuroanatomical and molecular correlates of cognitive and behavioural outcomes in hypogonadal males.Metabolic brain disease · 2018Review
- Single Gene and Syndromic Causes of Obesity: Illustrative Examples.Progress in molecular biology and translational science · 2016Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors at 1 institution in 1 country.
Funding
Abstract
purposeTotal body mass impacts reproductive health and infertility which has increased in the United States with rising rates of obesity. Overlapping genetic and environmental factors contribute to obesity and infertility including the androgen receptor (AR), a steroid hormone-activated transcription factor that is key in regulating androgen activity and sensitivity to sex hormones, weight and body composition in both males and females. The AR gene which is X-linked contains a polymorphic CAG trinucleotide repeat which varies in length and inversely correlated with gene expression.
methodsWe examined the AR gene CAG repeat length and measures of weight and body mass index (BMI) in 27 non-syndromic obese and 33 lean controls and for the first time compared with 28 individuals with Prader-Willi syndrome (PWS), a rare obesity-related genetic disorder with natural sex hormone deficits to examine the effects of AR gene CAG repeat length on androgen-mediated response and obesity-related factors relevant to human infertility and reproduction.
resultsMean CAG repeat length in base pairs (278 ± 7.9) did not significantly differ by subject group (F = 2.6, p = 0.08) but was strongly positively correlated with height standard deviation (SD) among males (r = 0.31, p < 0.05), mainly lean and obese, but not PWS (r = 0.02, p = 0.94). A negative correlation was observed for weight SD among females (r = -0.29, p < 0.04) when grouped together.
conclusionsThe results were consistent with an androgen-mediated effect on height and weight negligible in PWS and supporting the role of sex hormones and AR gene interaction in obesity and infertility, both cardinal features of PWS. CAG repeat length of the AR gene is a marker for increased androgen sensitivity with shorter lengths predicting smaller stature in non-PWS adult males possibly due to accelerating fusion of bone growth plates and reducing the growth phase. Increased androgen effects from shorter CAG repeat lengths in non-PWS females could impact pregnancy-related weight gain and pregnancy outcomes.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.