The transcriptome-wide association search for genes and genetic variants which associate with BMI and gestational weight gain in women with type 1 diabetes.

Autor: Ludwig-Słomczyńska AH; Center for Medical Genomics OMICRON, Jagiellonian University Medical College, Kraków, Poland., Seweryn MT; Center for Medical Genomics OMICRON, Jagiellonian University Medical College, Kraków, Poland.; Department of Cancer Biology and Genetics, The Ohio State University Wexner Medical Center, Columbus, OH, USA., Kapusta P; Center for Medical Genomics OMICRON, Jagiellonian University Medical College, Kraków, Poland., Pitera E; Center for Medical Genomics OMICRON, Jagiellonian University Medical College, Kraków, Poland., Mantaj U; Department of Reproduction, Poznan University of Medical Sciences, Poznan, Poland., Cyganek K; Department of Metabolic Diseases, University Hospital Kraków, Kraków, Poland.; Department of Metabolic Diseases, Jagiellonian University Medical College, Kraków, Poland., Gutaj P; Department of Reproduction, Poznan University of Medical Sciences, Poznan, Poland., Dobrucka Ł; Department of Metabolic Diseases, University Hospital Kraków, Kraków, Poland., Wender-Ożegowska E; Department of Reproduction, Poznan University of Medical Sciences, Poznan, Poland., Małecki MT; Department of Metabolic Diseases, University Hospital Kraków, Kraków, Poland.; Department of Metabolic Diseases, Jagiellonian University Medical College, Kraków, Poland., Wołkow PP; Center for Medical Genomics OMICRON, Jagiellonian University Medical College, Kraków, Poland. pawel.wolkow@uj.edu.pl.
Jazyk: angličtina
Zdroj: Molecular medicine (Cambridge, Mass.) [Mol Med] 2021 Jan 20; Vol. 27 (1), pp. 6. Date of Electronic Publication: 2021 Jan 20.
DOI: 10.1186/s10020-020-00266-z
Abstrakt: Background: Clinical data suggest that BMI and gestational weight gain (GWG) are strongly interconnected phenotypes; however, the genetic basis of the latter is rather unclear. Here we aim to find genes and genetic variants which influence BMI and/or GWG.
Methods: We have genotyped 316 type 1 diabetics using Illumina Infinium Omni Express Exome-8 v1.4 arrays. The GIANT, ARIC and T2D-GENES summary statistics were used for TWAS (performed with PrediXcan) in adipose tissue. Next, the analysis of association of imputed expression with BMI in the general and diabetic cohorts (Analysis 1 and 2) or GWG (Analysis 3 and 4) was performed, followed by variant association analysis (1 Mb around identified loci) with the mentioned phenotypes.
Results: In Analysis 1 we have found 175 BMI associated genes and 19 variants (p < 10 -4 ) which influenced GWG, with the strongest association for rs11465293 in CCL24 (p = 3.18E-06). Analysis 2, with diabetes included in the model, led to discovery of 1812 BMI associated loci and 207 variants (p < 10 -4 ) influencing GWG, with the strongest association for rs9690213 in PODXL (p = 9.86E-07). In Analysis 3, among 648 GWG associated loci, 2091 variants were associated with BMI (FDR < 0.05). In Analysis 4, 7 variants in GWG associated loci influenced BMI in the ARIC cohort.
Conclusions: Here, we have shown that loci influencing BMI might have an impact on GWG and GWG associated loci might influence BMI, both in the general and T1DM cohorts. The results suggest that both phenotypes are related to insulin signaling, glucose homeostasis, mitochondrial metabolism, ubiquitinoylation and inflammatory responses.
Databáze: MEDLINE
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