Genetic risk score for gestational weight gain.
Joanna Mikołajczyk-Stecyna1, Ewelina Zuk1, Agnieszka Seremak-Mrozikiewicz2
1Department of Human Nutrition and Dietetics, Poznań University of Life Sciences, Wojska Polskiego 31, 60-624 Poznań, Poland.
Summary
Genetic risk scores can predict gestational weight gain (GWG) in women. Specific genetic variants in genes like TMEM18 and GNB3 are associated with increased GWG, while others are linked to adequate or decreased GWG.
Area of Science:
- Genetics
- Reproductive Health
- Maternal-Fetal Medicine
Background:
- Gestational weight gain (GWG) has significant health implications for both mothers and offspring.
- Genetic factors are known to influence GWG, but identifying specific genetic associations can be challenging.
- Genetic risk scores (GRS) offer a method to aggregate the effects of multiple single nucleotide polymorphisms (SNPs) for association studies.
Purpose of the Study:
- To investigate the association between a genetic risk score (GRS) and gestational weight gain (GWG).
- To analyze the relationship between specific SNPs (rs9939609, rs6548238, rs17782313, rs10938397, rs10913469, rs1137101, rs7799039, rs5443) and GWG in a Polish cohort.
Main Methods:
- GWG was calculated for 342 healthy Polish women aged 19-45.
- Eight selected SNPs in genes including FTO, TMEM18, MC4R, GNPDA2, SEC16B, LEPR, LEP, and GNB3 were genotyped.
- Two GRS were computed: GRS1 (sum of all risk alleles) and GRS2 (sum of risk alleles for FTO, LEPR, LEP, GNB3).
Main Results:
- A positive association was found between GRS2 and GWG (β = 0.12, p = 0.029).
- Specific SNPs showed differential associations: TMEM18 (p=0.006, OR=2.6) and GNB3 (p<0.001, OR=3.3) with increased GWG.
- GNPDA2 (p<0.001, OR=2.7) was associated with adequate GWG, and LEPR (p=0.011, OR=3.1) with decreased GWG.
Conclusions:
- GRS2, along with genetic variants in TMEM18, GNB3, GNPDA2, and LEPR, are significantly associated with GWG.
- These findings highlight the polygenic nature of GWG and the potential utility of GRS in understanding its genetic underpinnings.
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