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

Author(s):  
Agnieszka H. Ludwig-Słomczyńska ◽  
Michał T. Seweryn ◽  
Przemysław Kapusta ◽  
Ewelina Pitera ◽  
Urszula Mantaj ◽  
...  

ABSTRACTBackgroundClinical 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.MethodsWe 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 (1Mb around identified loci) with the mentioned phenotypes.ResultsIn 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.ConclusionsHere, 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.

2021 ◽  
Vol 27 (1) ◽  
Author(s):  
Agnieszka H. Ludwig-Słomczyńska ◽  
Michał T. Seweryn ◽  
Przemysław Kapusta ◽  
Ewelina Pitera ◽  
Urszula Mantaj ◽  
...  

Abstract 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.


2018 ◽  
Vol 47 (2) ◽  
pp. 417-426 ◽  
Author(s):  
Maria C Magnus ◽  
Sjurdur F Olsen ◽  
Charlotta Granstrom ◽  
Nicolai A Lund-Blix ◽  
Jannet Svensson ◽  
...  

2015 ◽  
Vol 35 (2) ◽  
pp. 86-87
Author(s):  
C.M. Scifres ◽  
M.N. Feghali ◽  
A.D. Althouse ◽  
S.N. Caritis ◽  
J.M. Catov

Diabetes Care ◽  
2014 ◽  
Vol 37 (10) ◽  
pp. 2677-2684 ◽  
Author(s):  
Anna L. Secher ◽  
Clara B. Parellada ◽  
Lene Ringholm ◽  
Björg Ásbjörnsdóttir ◽  
Peter Damm ◽  
...  

2014 ◽  
Vol 210 (1) ◽  
pp. S138
Author(s):  
Christina Scifres ◽  
Maisa Feghali ◽  
Steve Caritis ◽  
Janet Catov

2014 ◽  
Vol 123 (6) ◽  
pp. 1295-1302 ◽  
Author(s):  
Christina M. Scifres ◽  
Maisa N. Feghali ◽  
Andrew D. Althouse ◽  
Steve N. Caritis ◽  
Janet M. Catov

2020 ◽  
Vol 222 (1) ◽  
pp. S630-S631
Author(s):  
Nimrod Dori-Dayan ◽  
Tali Cukierman-Yaffe ◽  
Roni Zemet ◽  
Ohad Cohen ◽  
Shali Mazaki-Tovi ◽  
...  

2017 ◽  
Author(s):  
Nicole M Warrington ◽  
Rebecca Richmond ◽  
Bjarke Fenstra ◽  
Ronny Myhre ◽  
Romy Gaillard ◽  
...  

AbstractBackgroundClinical recommendations to limit gestational weight gain (GWG) imply high GWG is causally related to adverse outcomes in mother or offspring, but GWG is the sum of several inter-related complex phenotypes (maternal fat deposition and vascular expansion, placenta, amniotic fluid and fetal growth). Understanding the genetic contribution to GWG could help clarify the potential effect of its different components on maternal and offspring health. Here we explore the genetic contribution to total, early and late GWG.Participants and MethodsA genome-wide association study was used to identify maternal and fetal variants contributing to GWG in up to 10,543 mothers and up to 16,317 offspring of European origin, with replication in 10,660 mothers and 7,561 offspring. Additional analyses determined the proportion of variability in GWG from maternal and fetal common genetic variants and the overlap of established genome-wide significant variants for phenotypes relevant to GWG (e.g. maternal BMI and glucose, birthweight).ResultsWe found that approximately 20% of the variability in GWG was tagged by common maternal genetic variants, and that the fetal genome made a surprisingly minor contribution to explaining variation in GWG. We were unable to identify any genetic variants that reached genome-wide levels of significance (P<5×10−8) and replicated. Some established maternal variants associated with increased BMI, fasting glucose and type 2 diabetes were associated with lower early, and higher later GWG. Maternal variants related to higher systolic blood pressure were related to lower late GWG. Established maternal and fetal birthweight variants were largely unrelated to GWG.ConclusionWe found a modest contribution of maternal common variants to GWG and some overlap of maternal BMI, glucose and type 2 diabetes variants with GWG. These findings suggest that associations between GWG and later offspring/maternal outcomes may be due to the relationship of maternal BMI and diabetes with GWG.


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