Evidence map›Paper›PMID 25117571›Full record

ArticleEndocrine connections2014

Circulating IGF1 and IGF2 and SNP genotypes in men and pregnant and non-pregnant women.

K L Gatford, G K Heinemann, S D Thompson, J V Zhang, S Buckberry, J A Owens, G A Dekker, C T Roberts, SCOPE Consortium

Abstract read
In one paragraph

Article in Endocrine connections, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
–field-weighted citation impact
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

8 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Review
  5. Association of Genetic Variants inFrontiers in endocrinology · 2021
    Article
  6. Article
  7. Review
  8. 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

9 authors.

K L GatfordSchool of Paediatrics and Reproductive HealthRobinson Research Institute, University of Adelaide, Adelaide, South Australia 5005, Australia.
G K HeinemannSchool of Paediatrics and Reproductive HealthRobinson Research Institute, University of Adelaide, Adelaide, South Australia 5005, Australia.
S D ThompsonSchool of Paediatrics and Reproductive HealthRobinson Research Institute, University of Adelaide, Adelaide, South Australia 5005, Australia.
J V ZhangSchool of Paediatrics and Reproductive HealthRobinson Research Institute, University of Adelaide, Adelaide, South Australia 5005, Australia.
S BuckberrySchool of Paediatrics and Reproductive HealthRobinson Research Institute, University of Adelaide, Adelaide, South Australia 5005, Australia.
J A OwensSchool of Paediatrics and Reproductive HealthRobinson Research Institute, University of Adelaide, Adelaide, South Australia 5005, Australia.
G A DekkerSchool of Paediatrics and Reproductive HealthRobinson Research Institute, University of Adelaide, Adelaide, South Australia 5005, Australia.
C T RobertsSchool of Paediatrics and Reproductive HealthRobinson Research Institute, University of Adelaide, Adelaide, South Australia 5005, Australia claire.roberts@adelaide.edu.au.
SCOPE Consortium

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Circulating IGFs are important regulators of prenatal and postnatal growth, and of metabolism and pregnancy, and change with sex, age and pregnancy. Single-nucleotide polymorphisms (SNPs) in genes coding for these hormones associate with circulating abundance of IGF1 and IGF2 in non-pregnant adults and children, but whether this occurs in pregnancy is unknown. We therefore investigated associations of plasma IGF1 and IGF2 with age and genotype at candidate SNPs previously associated with circulating IGF1, IGF2 or methylation of the INS-IGF2-H19 locus in men (n=134), non-pregnant women (n=74) and women at 15 weeks of gestation (n=98). Plasma IGF1 concentrations decreased with age (P<0.001) and plasma IGF1 and IGF2 concentrations were lower in pregnant women than in non-pregnant women or men (each P<0.001). SNP genotypes in the INS-IGF2-H19 locus were associated with plasma IGF1 (IGF2 rs680, IGF2 rs1004446 and IGF2 rs3741204) and IGF2 (IGF2 rs1004446, IGF2 rs3741204 and H19 rs217727). In single SNP models, effects of IGF2 rs680 were similar between groups, with higher plasma IGF1 concentrations in individuals with the GG genotype when compared with GA (P=0.016), or combined GA and AA genotypes (P=0.003). SNPs in the IGF2 gene associated with IGF1 or IGF2 were in linkage disequilibrium, hence these associations could reflect other genotype variations within this region or be due to changes in INS-IGF2-H19 methylation previously associated with some of these variants. As IGF1 in early pregnancy promotes placental differentiation and function, lower IGF1 concentrations in pregnant women carrying IGF2 rs680 A alleles may affect placental development and/or risk of pregnancy complications.

Indexed as

humanIGF1IGF2pregnancySNP genotype

Identifiers

PMID25117571
PMCPMC4151385

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