Abstract The global obesity epidemic particularly affects women of reproductive age. Offspring of obese mothers suffer from an increased risk of liver disease but the molecular mechanisms involved remain unknown. We performed an integrative genomic analysis of datasets that investigated the impact of maternal obesity on the hepatic gene expression profile of the offspring in mice. Furthermore, we developed a murine model of maternal obesity and studied the development of liver disease and the gene expression profile of the top dysregulated genes by quantitative real-time polymerase chain reaction (qPCR). Our data are available for interactive exploration on our companion webpage. We identified five publicly available datasets relevant to our research question. Pathways involved in metabolism, the innate immune system, the clotting cascade, and the cell cycle were consistently dysregulated in the offspring of obese mothers. Concerning genes involved in the development of liver disease, Egfr, Vegfb, Wnt2, Pparg and six other genes were dysregulated in multiple independent datasets. In our own model, we observed a higher tendency towards the development of non-alcoholic liver disease (60 vs. 20%) and higher levels of alanine aminotransferase (41.0 vs. 12.5 IU/l, p = 0.008) in female offspring of obese mothers. Male offspring presented higher levels of liver fibrosis (2.4 vs. 0.6% relative surface area, p = 0.045). In a qPCR gene expression analysis of our own samples, we found Fgf21, Pparg, Ppard, and Casp6 to be dysregulated by maternal obesity. Maternal obesity represents a looming threat to the liver health of future generations. Our comprehensive transcriptomic analysis will help to better understand the mechanisms of the development of liver disease in the offspring of obese mothers and can give rise to further explorations. Keywords: maternal obesity, liver disease, whole-genome expression analysis, transcriptomics, non-alcoholic fatty liver disease, developmental origins of health and disease 1. Introduction We are living in a time of a global obesity epidemic with a global obesity rate that has doubled over the past 40 years and is predicted to reach 50% in the USA by 2030 [[48]1,[49]2]. Obesity is also associated with an elevated risk for several major chronic diseases such as type 2 diabetes, cardiovascular disease, some cancers, and chronic liver disease [[50]3,[51]4]. Women of reproductive age are particularly affected by obesity and close to one-third of children in the USA are born to obese mothers with a rising trend [[52]5,[53]6]. Besides increased perinatal complications, maternal obesity also leads to increased morbidity in the children of obese mothers [[54]6,[55]7,[56]8]. In particular, maternal obesity is a risk factor for compromised cognitive development, metabolic syndrome, and even childhood cancers [[57]9,[58]10,[59]11]. Additionally, murine studies have shown that pups born to obese mothers exhibit an increased risk of developing liver diseases such as steatosis and signs of hepatitis such as increased inflammatory markers and fibrosis [[60]12,[61]13]. A recent epidemiological study confirmed these results and demonstrated that the offspring of obese mothers had a threefold higher risk of developing non-alcoholic liver disease (NAFLD) in adulthood [[62]14]. Several studies have explored the expression of selected genes, and a number of groups have performed whole-genome expression profiling [[63]13,[64]15,[65]16,[66]17,[67]18,[68]19,[69]20,[70]21,[71]22] in the offspring of obese mothers. Study heterogeneity, the multifactorial etiology of the disease, and the comparatively small impact on gene expression by maternal obesity have not allowed clear identification of the molecular pathways involved in the development of chronic liver disease. The aim of this study is to identify the major pathways and genes associated with the development of liver disease in the offspring of obese mothers. Due to the heterogeneity of the available data, we chose to perform an integrative genomic analysis of all available datasets studying the transcriptional impact of maternal obesity. This allowed us to identify genes and pathways that were dysregulated most consistently among the different studies. In the next step, we developed our own model of maternal obesity and characterized the offspring. We then used the information that we obtained from the integrative genomic analysis to study the most consistently dysregulated genes in our own samples. The raw results of our analysis are publicly available for different analyses by other groups combined with a web-based tool for the analysis of specific genes ([72]http://www.genebrowser.unige.ch/maternalobesity/, accessed on 29 November 2021). 2. Materials and Methods 2.1. Database Search We performed a search of the Gene Expression Omnibus (GEO) [[73]23] from the National Center for Biotechnology Information for gene expression datasets using the following search term ((“obesity”[MeSH Terms] OR obese[All Fields]) OR fat[All Fields] OR western[All Fields]) AND (F1[All Fields] OR offspring[All Fields]) AND ((“liver”[MeSH Terms] OR liver[All Fields]) OR hepatic[All Fields]). Only mouse studies were included in our analysis. Additionally, the Center for Information Biology Gene Expression database (CIBEX) [[74]24] and ArrayExpress [[75]25] were searched with similar search terms but no additional hits were retrieved ([76]Figure S1). 2.2. Qualtitative Literature Search to Identify Pathways and Genes Relevant for the Progression of Liver Disease We performed a qualitative literature search to identify genes and pathways that have been identified previously as relevant for the development or the progression of non-alcoholic fatty liver disease (NAFLD) or non-alcoholic steatohepatitis (NASH). Additionally, we included genes that were identified by other groups to play a role in the development of liver disease in the offspring of obese mothers. A full list of pathways and genes with references is available under