Literature DB >> 21913951

The growth hormone receptor gene deleted for exon three (GHRd3) polymorphism is associated with birth and placental weight.

Raja Padidela1, Sinead M Bryan, Sayeda Abu-Amero, Rebecca E Hudson-Davies, John C Achermann, Gudrun E Moore, Peter C Hindmarsh.   

Abstract

CONTEXT: Human growth hormone receptor (GHR) transcripts have two isoforms, full-length (GHRfl) or exon 3 deleted (GHRd3). An association of these isoforms has been found with small for gestational age (SGA) infants but does not influence adult height. The role of this polymorphism in the birth size spectrum in the general population is unclear.
OBJECTIVE: To determine the association of maternal and infants GHR exon 3 polymorphism with antenatal growth, birth size and early postnatal growth in two large, normal white European birth cohorts. STUDY
DESIGN: Pregnant women from white European families were recruited by the University College London Foetal Growth Study (n = 774) and the Moore normal pregnancy cohort (n = 274). GHR variants, wild-type (fl) and deleted for exon 3 (d3) were analysed using multiplex PCR.
RESULTS: There was a significant underrepresentation of infants wild-type fl/fl (36%) and overrepresentation of d3/d3 (14%) genotypes in the SGA infants within the cohorts (χ(2) = 11·2, P = 0·003, df = 2). Fl/fl was overrepresented in large for gestational age (LGA) infants (χ(2) = 6·1, P = 0·047, df = 2). There was a significant association of infants GHR isoforms with placental weight (P < 0·001) and birth weight standard deviation scores (P = 0·04) with the fl/fl genotype associated with a larger placental and birth weight. In multiple regression analysis, the GHR isoform type, maternal booking weight and parity influenced placental weight (R(2) = ·35; P < 0·001, df = 7). The GHR isoform type was not related to antenatal anthropometric measurements or growth in infancy.
CONCLUSION: These data suggest that the GHR isoforms are associated with placental and birth weight.
© 2011 Blackwell Publishing Ltd.

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Year:  2012        PMID: 21913951      PMCID: PMC3321225          DOI: 10.1111/j.1365-2265.2011.04207.x

Source DB:  PubMed          Journal:  Clin Endocrinol (Oxf)        ISSN: 0300-0664            Impact factor:   3.478


Introduction

The growth hormone receptor (GHR) gene (MIM: *600946) is located on chromosome 5 (5p13.1-p12) and consists of nine coding exons.1 In humans, GHR transcripts exist in two major isoforms; retention (GHRfl) or exclusion of exon 3 (GHRd3). GHR exon 3 skipping results from a homologous recombination of two retroviral sequences flanking this exon that mimic an alternative splicing event.1 Historically exon 3 deletion was first reported as a potential pathological finding in two patients with GH insensitivity.2 Subsequent studies confirmed GHR exon 3 insertion/deletion as common polymorphism with these isoforms specific to individuals3 inherited as a Mendelian trait.4 During infancy and childhood pituitary, growth hormone (hGH-N) and insulin-like growth 1 (IGF-1) influence growth by virtue of hGH-N binding to the GHR. During pregnancy, hGH-N expression in the mother is suppressed; and placental growth hormone (hGH-V), a GH variant expressed by the placenta, becomes the predominant GH in the mother.5 hGH-V influences placental and foetal growth by binding to the maternal and placental GHR. Inherent variation in the GHR with insertion/deletion of an exon could explain some of the variability seen in the antenatal and postnatal growth and response to recombinant human GH (r-hGH) treatment in children with growth disorders. Dos Santos et al.6 first reported a positive influence of GHR exon 3 polymorphism on response to treatment with human GH in children with idiopathic short stature (ISS) and those born small for gestational age (SGA). However, no difference in the frequency of this polymorphism was found in short children compared to control adults of normal height, suggesting that this polymorphism was not primarily related to the aetiology of adult height.6 This lack of overall effect was postulated to be secondary to compensation by endogenous pituitary GH secretion, masking any effect of the GHR polymorphism on growth rate. Subsequently, a number of studies of the polymorphism frequencies in various populations of children with growth disorders have yielded inconsistent results7 mainly due to small sample sizes.8 A meta-analysis of all these studies indicates that GHRd3 stimulates growth velocity by an additional effect of 0·5 cm during the first year of treatment with r-hGH.7 At present, little is known about the role of GHR exon 3 polymorphism on antenatal and early postnatal growth with small sample sizes limiting interpretation.9–11 We have evaluated the role of GHR exon 3 isoform on antenatal growth, birth size, placental weight and postnatal growth up to 3 years of age in two large prospectively recruited white European cohorts.

Subjects and methods

Study cohort

Subjects for this study were recruited from two separate white European cohorts, the University College London Hospital Fetal Growth Study (UCL-FGS) (n = 1650) and the Moore cohort (n = 310). Ethical approval was obtained from the University College London Hospitals and Queen Charlotte Hospital for Women and Hammersmith Hospital Ethics Committees. Written informed consent was obtained from all the participants on entrance into the study and then again for the participation of the infant in the study after birth. Suitable DNA samples for this study were available in 1048 infants, 774 from UCL-FGS and 274 from Moore cohort. Inclusion criteria in both cohorts were white European families presenting for the first prenatal visit before 20 weeks of pregnancy and ultrasound examination demonstrating a structurally normal single foetus. Pregnancies with antenatal complications and adverse foetal findings were excluded from the study. From UCL-FGS antenatal ultrasonographic growth data, anthropometric measurement at birth and growth data until 3 years of age (n = 524) was used for the study. Data collection was standardized, and all data were collected prospectively. Antenatal growth measurements were performed by ultrasonography by a single skilled physician with expertise in foetal medicine. At birth, trimmed placental weight (stripped of blood clots, umbilical cord and membranes) was recorded. Anthropometric measures were undertaken at birth by a single observer. Weight was measured using electronic self-calibrating scales (Seca, Birmingham, UK), length by Infantometer (Child Growth Foundation, London, UK) and head circumference using a flexible metal tape. Three separate measurements were taken and the mean recorded. All measurements at birth were corrected for gestational age and sex by converting them into standard deviation scores (SDS).12 Similar postnatal anthropometric data were collected at six monthly intervals by a single observer up to 3 years of age. From Moore cohort anthropometric measurements at birth were used. All families were of white European origin. Placental sample was dissected and frozen at −80 °C until use for foetal DNA preparation. Blood samples were collected in EDTA tubes from each parent for DNA extraction. Maternal weight, height, age, parity, baby’s gender, birth weight, head circumference, placental weight, past and present medical history, mode and indication delivery for delivery, pregnancy complications, smoking, diet and alcohol consumption, and partner’s medical history were collected from the mother’s notes from all families participating in the study. All measurements at birth were corrected for gestational age and sex by converting them into standard deviation scores (SDS).12

Analysis of GH receptor isoforms

In the UCL-FGS cohort, genomic DNA was extracted from cord blood (n = 449) and from placenta (n = 325) where suitable cord blood sample was not available. In the Moore cohort, genomic DNA samples were obtained from placental tissue (n = 274). Placental samples were dissected near the umbilical cord insertion point, snapped frozen in liquid nitrogen and stored at −80 °C until use for foetal DNA preparation. DNA was extracted from the maternal blood samples and stored for analyses of maternal genotype. For genotyping of the GHR exon 3 locus, a simple multiplex PCR assay was used as previously described (2). Amplification products were analysed by electrophoresis on a 1% agarose gel stained with ethidium bromide. GHR fl allele was detected as a single band corresponding to 935 bp and the GHR-d3 allele corresponding to 532 bp, respectively. All samples were coded, and the operator was blinded to anthropometric data.

Statistics

All data were assessed for normal distribution by exploring the data for skewness and kurtosis and the Shaprio–Wilks estimates. Infants were defined as SGA and large for gestational age (LGA) if birth weights were below 10th centile or above 90th centile, respectively, for gestational age. Postnatal catch-up or catch-down growth was defined as an increase or decrease in weight SDS of 0·6 over the first year of life.13 In the UCL FGS cohort, Student’s t-test was used to compare the GHR genotyped group (n = 774) and total cohort (n = 1674) mean values to ensure there was no selection bias in those samples used for genotype analysis. Chi-square tests were used to compare frequency distributions of the GHR genotypes. One-way analysis of variance (anova), with the Tukey’s honest significant differences (HSD) post hoc test, was used to determine differences between the mean anthropometric measures in the GHR exon 3 genotypes. Multiple stepwise linear regression was used to determine factors influencing placental weight and birth weight SDS. A sample size of 1048 was estimated to have a power of 90% to calculate a 50 g difference in placental weight and 100 g difference in birth weight at 5% level of significance between SGA and LGA groups.

Results

General

Both cohorts consisted of a total of 1048 singletons with equal number of men and women. Maternal and infant cohort data shown in Table 1 confirm similarities of UCL-FGS and Moore cohort. In the UCL-FGS, there was no difference in these data between those who underwent GHR analysis (n = 774) and those remaining participants who did not (data not shown). All the data had normal distribution and hence log transformation was not required.
Table 1

Maternal and infant anthropometric and demographic data from the UCL-FGS and the Moore cohort

UCL-FGS n = 774Moore cohort n = 274
Maternal parameters
 Maternal height (cm)164·6 (6·90)165·8 (6·25)
 Maternal weight (kg)63·9 (11·9)66·8 (11·9)
Infant parameters
 Gestation (weeks)39·4 (1·05)39·1 (1·00)
 Placental weight (g)699·2 (136·8)708·8 (137·7)
 Birth weight SDS0·12 (0·98)0·17 (0·93)
 Birth length SDS−0·12 (0·75)
 Head circumference SDS−0·005 (0·003)−0·01 (0·004)

Data shown as mean with SD in parentheses.

UCL-FGS, University College London Hospital Fetal Growth Study; SDS, standard deviation scores.

Maternal and infant anthropometric and demographic data from the UCL-FGS and the Moore cohort Data shown as mean with SD in parentheses. UCL-FGS, University College London Hospital Fetal Growth Study; SDS, standard deviation scores.

Infant GHR isoforms

The frequency distribution of the GHR exon 3 genotype was as follows: fl/fl 48%, fl/d3 45% and d3/d3 7%. The genotype distribution was in Hardy–Weinberg equilibrium. Parity and cigarette smoking were distributed similarly across the GHR genotype (χ2 = 0·12, P = 0·94, df = 4 and χ2 = 0·18, P = 0·91, df = 4 respectively). In the UCL-FGS, GHR genotype was not associated with parameters of antenatal growth (Table 2). The effect of infant’s GHR genotype on anthropometric measures on the entire cohort at birth is shown in Table 2. GHR exon 3 genotype was significantly associated with placental weight (one-way anovaF = 7·557; P = 0·001, df = 992) and birth weight SDS (one-way anovaF = 3·3; P = 0·037, df = 1047). In infant’s placenta, weight and birth weight SDS was higher in the GHR fl/fl genotype group and lower in the GHR d3/d3 genotype. GHR genotype was not significantly associated with birth length SDS (one-way anovaF = 1·6; P = 0·2, df = 1020) or head circumference SDS (one-way anovaF = 0·865; P = 0·42, df = 1021).
Table 2

Association of infant GHR exon 3 genotype with antenatal growth (n = 774), placental weight and anthropometric measurements at birth (n = 1048)

GHR exon 3 genotype

Anthropometric measurementsGHR fl/fl (48%)GHR fl/d3 (45%)GHR d3/d3 (7%)dfP value
First trimester (12–14 weeks of gestational age)
 Femur length (cm)1·9 (0·6)1·8 (0·55)1·8 (0·65)754 (2)0·55
 Abdominal circumference (cm)14·3 (1·4)13·7 (2·3)13·1 (2·0)759 (2)0·66
 Bi parietal diameter (cm)3·0 (0·7)2·9 (0·7)2·9 (0·6)760 (2)0·51
Second trimester (18–20 weeks of gestational age)
 Femur length (cm)3·3 (0·3)3·3 (0·3)3·2 (0·2)750 (2)0·77
 Abdominal circumference (cm)15·7 (1·3)15·7 (1·3)15·6 (1·0)759 (2)0·83
 Bi parietal diameter (cm)4·95 (0·32)4·95 (0·42)4·90 (0·22)760 (2)0·61
Third trimester (30–34 weeks of gestational age)
 Femur length (cm)6·2 (0·3)6·2 (0·3)6·1 (0·4)700 (2)0·46
 Abdominal circumference (cm)28·7 (1·8)28·6 (1·7)28·4 (2·1)700 (2)0·70
 Bi parietal diameter (cm)8·5 (0·43)8·4 (0·38)8·3 (0·50)615 (2)0·08
Birth
 Placental weight (g)697 (142)665 (131)656 (136)990 (2)0·001*
 Birth weight SDS0·22 (1·0)0·14 (0·95)0·05 (0·90)1045 (2)0·037*
 Birth length SDS (UCL-FGS, n = 774)−0·04 (1·17)−0·18 (1·14)−0·21 (1·08)1018 (2)0·2
 Head circumference SDS0·05 (1·13)−0·05 (1·09)−0·04 (0·95)1019 (2)0·42

Data shown as mean with SD in parentheses, P value calculated by one-way analysis of variance (anova).

SDS, standard deviation scores; UCL-FGS, University College London Hospital Fetal Growth Study; df, degree of freedom within-group with between-group combined in parentheses.

Significant P value. Antenatal growth parameters analysed in UCL-FGS n = 774. Placental weight and postnatal growth analysed in UCL-FGS and Moore cohort, n = 1048.

Association of infant GHR exon 3 genotype with antenatal growth (n = 774), placental weight and anthropometric measurements at birth (n = 1048) Data shown as mean with SD in parentheses, P value calculated by one-way analysis of variance (anova). SDS, standard deviation scores; UCL-FGS, University College London Hospital Fetal Growth Study; df, degree of freedom within-group with between-group combined in parentheses. Significant P value. Antenatal growth parameters analysed in UCL-FGS n = 774. Placental weight and postnatal growth analysed in UCL-FGS and Moore cohort, n = 1048. There was a greater proportion of d3/d3 (14%) and lower proportion of fl/fl (36%) in the SGA group at birth (χ2 = 11·2, P = 0·003, df = 2). In the LGA category the fl/fl genotype was overrepresented (60%) and fl/d3 and d3/d3 genotypes were underrepresented (χ2 = 6·1, P = 0·047, df = 2) (Fig. 1).
Figure 1

Frequency of GHR exon 3 genotypes based on birth weight centile. Chi-square P value; <10th centile – 0·003, >90th centile – 0·047, df = 2.

Frequency of GHR exon 3 genotypes based on birth weight centile. Chi-square P value; <10th centile – 0·003, >90th centile – 0·047, df = 2. In the UCL-FGS, no association of GHR genotype was found with postnatal anthropometric data up to 3 years of age (data not shown). GHR genotype was also not associated with catch-up (χ2 = 0·28, P = 0·87, df = 2) or catch-down (χ2 = 0·58, P = 0·75, df = 2) growth in the first year of life. In multiple regression analyses (adjusted R2 35%), GHR genotype, booking weight, parity and gestational age of delivery were associated with placental weight while maternal age and cigarette smoking did not influence placental weight (Table 3). In multiple regression analyses, birth weight SDS was not influenced by GHR genotype (data not shown).
Table 3

Multiple stepwise linear regression analyses of factors influencing placental weight

CovariateCoefficientt-ratioP value
GHR genotype−0·13−3·4820·001
Booking weight0·123·150·002
Gestational age at delivery0·287·550·0001
Parity0·143·730·0001

Degree of freedom for regression = 7, residuals = 664.

Multiple stepwise linear regression analyses of factors influencing placental weight Degree of freedom for regression = 7, residuals = 664.

Maternal GHR isoforms

Maternal GHR genotype did not demonstrate any significant association with placental weight or any anthropometric measures at birth (Table 4).
Table 4

Association of maternal GHR exon 3 genotype with placental weight and infant anthropometric measure at birth

GHR exon 3 genotype

GHR fl/fl (49%)GHR fl/d3 (40%)GHR d3/d3 (11%)P value
Placental weight (g)691 (134)685 (130)705 (137)0·2
Birth weight SDS0·2 (1·0)0·7 (0·85)0·36 (0·90)0·09
Birth length SDS (UCL-FGS)−0·03 (0·27)−0·18 (1·04)−0·21 (1·08)0·12
Head circumference SDS−0·05 (0·13)−0·15 (1·09)0·12 (0·85)0·42

Data shown as mean with SD in parentheses, P value calculated by one-way analysis of variance (anova).

SDS, standard deviation scores; UCL-FGS, University College London Hospital Fetal Growth Study.

Association of maternal GHR exon 3 genotype with placental weight and infant anthropometric measure at birth Data shown as mean with SD in parentheses, P value calculated by one-way analysis of variance (anova). SDS, standard deviation scores; UCL-FGS, University College London Hospital Fetal Growth Study.

Discussion

In a cohort of white European pregnant women and their offspring, we found a significant positive association between GHR exon 3 genotype and placental and birth weight. This genotype appears to influence intrauterine growth in late gestation as our study demonstrated no clear effect on ultrasonographic measures of antenatal growth up to the third trimester of pregnancy (30–32 week scan). Further, the effect does not seem to be maintained into postnatal life as no long-term effect on size could be determined nor on the catch-up and catch-down growth process. Adequate placentation and placental growth are essential for foetal growth. There is a strong correlation between placental weight and foetal growth with most low birth infants having a small placenta.14,15 This implies that placental growth is linked to foetal growth. The placenta expresses GHR, which can bind the increasing concentrations of placental growth hormone (hGH-V) encoded by chorionic somatomammotropin hormone 1 (CSH1), (MIM: *150200) during pregnancy. hGH-V is secreted by syncytiotrophoblasts and its concentration progressively rises in maternal plasma from 10–12 weeks of gestation to term.16 hGH-V is also expressed in invasive extravillous trophoblasts suggesting that the physiological role of hGH-V, in addition to endocrine effects in the mother, might also include a direct influence on placental development via an autocrine or paracrine mechanism.17 hGH-V is expressed in the placenta18 and could potentially influence autocrine or paracrine effects of placental or foetal GH on placental growth.10 Circumstantial evidence for this comes from the observation that deletion of the PGH gene in the foetus is associated with marked foetal growth restriction and a small placenta19 and that the placental weight of GHRfl/fl group in our study was heavier than that of the GHRd3/d3 group. Our data would suggest that the size of the effect on birth weight is less than that upon the placenta but given the interaction of placental weight and birth size it is not easy to dissect this further. In the multiple linear regression model, placental weight is influenced by GHR genotype, while birth weight SDS is not suggesting that GHR genotype effect on birth weight could be mediated through placental weight. Jensen et al.10 have demonstrated an influence of GHR exon 3 deleted genotype on foetal growth velocity in SGA infants and increased postnatal growth in both SGA and appropriate for gestational age (AGA) infants. Sorensen et al.11 have shown decrease in birth weight and birth length in GHR d3/d3 genotype similar to our study. Unlike other studies, we could not demonstrate any effect on prenatal weight up to 32 weeks of gestational age and postnatal growth. This probably reflects the fact that our cohort represents a continuum across the birth size spectrum in the general population and does not represent polarized size class groups. In addition, the larger sample size in our study reduces the likelihood of false-positive findings. Of note, large genome wide association studies (GWAS) have not found any influence of GHR locus on height or metabolic parameters.20 This could simply mean that GHR variation does not significantly influence growth or the SNP that tags GHR exon 3 in the GWAS does not recapitulate all the genomic variability at the locus, including the d3, other copy number variations, or rare variants.21 In conclusion, we found that the GHR exon 3 polymorphism genotype is associated with placental weight and birth weight with carriers of GHRfl/fl allele having a heavier placenta and higher birth weight. Placental weight could be potentially influenced by an autocrine/paracrine action of hGH-V or other products of the chorio-somatomammotropic gene on the GHR polymorphism present in the placenta.
  20 in total

1.  Characterization of the human growth hormone receptor gene and demonstration of a partial gene deletion in two patients with Laron-type dwarfism.

Authors:  P J Godowski; D W Leung; L R Meacham; J P Galgani; R Hellmiss; R Keret; P S Rotwein; J S Parks; Z Laron; W I Wood
Journal:  Proc Natl Acad Sci U S A       Date:  1989-10       Impact factor: 11.205

Review 2.  The roles of placental growth hormone and placental lactogen in the regulation of human fetal growth and development.

Authors:  S Handwerger; M Freemark
Journal:  J Pediatr Endocrinol Metab       Date:  2000-04       Impact factor: 1.634

3.  The exon 3 deleted growth hormone receptor gene is associated with small birth size and early pubertal onset in healthy boys.

Authors:  Kaspar Sørensen; Lise Aksglaede; Jørgen Holm Petersen; Henrik Leffers; Anders Juul
Journal:  J Clin Endocrinol Metab       Date:  2010-04-09       Impact factor: 5.958

4.  Fetal and placental size and risk of hypertension in adult life.

Authors:  D J Barker; A R Bull; C Osmond; S J Simmonds
Journal:  BMJ       Date:  1990-08-04

5.  Cross sectional stature and weight reference curves for the UK, 1990.

Authors:  J V Freeman; T J Cole; S Chinn; P R Jones; E M White; M A Preece
Journal:  Arch Dis Child       Date:  1995-07       Impact factor: 3.791

Review 6.  Human placental growth hormone--a review.

Authors:  M C Lacroix; J Guibourdenche; J L Frendo; F Muller; D Evain-Brion
Journal:  Placenta       Date:  2002-04       Impact factor: 3.481

7.  A common polymorphism of the growth hormone receptor is associated with increased responsiveness to growth hormone.

Authors:  Christine Dos Santos; Laurent Essioux; Cécile Teinturier; Maïté Tauber; Vincent Goffin; Pierre Bougnères
Journal:  Nat Genet       Date:  2004-06-20       Impact factor: 38.330

8.  Evidence for the expression of growth hormone receptors in human placenta.

Authors:  F Frankenne; E Alsat; M L Scippo; A Igout; G Hennen; D Evain-Brion
Journal:  Biochem Biophys Res Commun       Date:  1992-01-31       Impact factor: 3.575

9.  Syncytiotrophoblastic localization of the human growth hormone variant mRNA in the placenta.

Authors:  M L Scippo; F Frankenne; E L Hooghe-Peters; A Igout; B Velkeniers; G Hennen
Journal:  Mol Cell Endocrinol       Date:  1993-04       Impact factor: 4.102

10.  Expression of exon 3-retaining and exon 3-excluding isoforms of the human growth hormone-receptor is regulated in an interindividual, rather than a tissue-specific, manner.

Authors:  R B Wickelgren; K L Landin; C Ohlsson; L M Carlsson
Journal:  J Clin Endocrinol Metab       Date:  1995-07       Impact factor: 5.958

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Authors:  Jasmine A Rethmeyer; Xiaoyu Tan; Ann Manzardo; Stephen R Schroeder; Merlin G Butler
Journal:  Clin Chem Lab Med       Date:  2013-05       Impact factor: 3.694

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Authors:  Samantha N Hartin; Waheeda A Hossain; Ann M Manzardo; Shaquanna Brown; Paula J Fite; Marco Bortolato; Merlin G Butler
Journal:  Growth Horm IGF Res       Date:  2018-02-12       Impact factor: 2.372

6.  Growth hormone receptor (GHR) gene polymorphism and Prader-Willi syndrome.

Authors:  Merlin G Butler; Jennifer Roberts; Jena Hayes; Xiaoyu Tan; Ann M Manzardo
Journal:  Am J Med Genet A       Date:  2013-05-21       Impact factor: 2.802

7.  The evolution and functional impact of human deletion variants shared with archaic hominin genomes.

Authors:  Yen-Lung Lin; Pavlos Pavlidis; Emre Karakoc; Jerry Ajay; Omer Gokcumen
Journal:  Mol Biol Evol       Date:  2015-01-02       Impact factor: 16.240

8.  Sex-specific phenotypic effects and evolutionary history of an ancient polymorphic deletion of the human growth hormone receptor.

Authors:  Marie Saitou; Skyler Resendez; Apoorva J Pradhan; Fuguo Wu; Natasha C Lie; Nancy J Hall; Qihui Zhu; Laura Reinholdt; Yoko Satta; Leo Speidel; Shigeki Nakagome; Neil A Hanchard; Gary Churchill; Charles Lee; G Ekin Atilla-Gokcumen; Xiuqian Mu; Omer Gokcumen
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