Dataset Information

An immune response network associated with blood lipid levels

ABSTRACT: Genome-wide genotyping was performed on a population-based cohort from the capital region of Finland using the Illumina 610-Quad SNP microarray

PROVIDER: EGAS00000000086 | EGA |

REPOSITORIES: EGA

ACCESS DATA

Publications

Metabonomic, transcriptomic, and genomic variation of a population cohort.

Inouye Michael M Kettunen Johannes J Soininen Pasi P Silander Kaisa K Ripatti Samuli S Kumpula Linda S LS Hämäläinen Eija E Jousilahti Pekka P Kangas Antti J AJ Männistö Satu S Savolainen Markku J MJ Jula Antti A Leiviskä Jaana J Palotie Aarno A Salomaa Veikko V Perola Markus M Ala-Korpela Mika M Peltonen Leena L

Molecular systems biology 20101201

Comprehensive characterization of human tissues promises novel insights into the biological architecture of human diseases and traits. We assessed metabonomic, transcriptomic, and genomic variation for a large population-based cohort from the capital region of Finland. Network analyses identified a set of highly correlated genes, the lipid-leukocyte (LL) module, as having a prominent role in over 80 serum metabolites (of 134 measures quantified), including lipoprotein subclasses, lipids, and ami ...[more]

PMID: 21179014

Publication: 1/2

Similar Datasets

Project description:ObjectiveTo assess the independent association of maternal lipid levels with birth weight and cord blood insulin (CBI) level.SettingThe Born in Guangzhou Cohort Study, Guangzhou, China.ParticipantsWomen who delivered between January 2015 and June 2016 and with umbilical cord blood retained were eligible for this study. Those with prepregnancy health conditions, without an available fasting blood sample in the second trimester, or without demographic and glycaemic information were excluded. After random selection, data from 1522 mother-child pairs were used in this study.Exposures and outcome measuresAdditive Bayesian network analysis was used to investigate the interdependency of lipid profiles with other metabolic risk factors (prepregnancy body mass index (BMI), fasting glucose and early gestational weight gain) in association with birth weight and CBI, along with multivariable linear regression models.ResultsIn multivariable linear regressions, maternal triglyceride was associated with increased birth weight (adjusted β=67.46, 95% CI 41.85 to 93.06 g per mmol/L) and CBI (adjusted β=0.89, 95% CI 0.06 to 1.72 μU/mL per mmol/L increase), while high-density lipoprotein cholesterol was associated with decreased birth weight (adjusted β=-45.29, 95% CI -85.49 to -5.09 g per mmol/L). After considering the interdependency of maternal metabolic risk factors in the Network analysis, none of the maternal lipid profiles was independently associated with birth weight and CBI. Instead, prepregnancy BMI was the global strongest factor for birth weight and CBI directly and indirectly.ConclusionsGestational dyslipidaemia appears to be secondary to metabolic dysfunction with no clear association with metabolic adverse outcomes in neonates. Maternal prepregnancy overweight/obesity appears the most influential upstream metabolic risk factor for both maternal and neonatal metabolic health; these data imply weight management may need to be addressed from the preconception period and during early pregnancy.

Dataset Information

An immune response network associated with blood lipid levels

Publications

Metabonomic, transcriptomic, and genomic variation of a population cohort.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets