Frédéric Guénard

Differential methylation in glucoregulatory genes of offspring born before vs. after maternal gastrointestinal bypass surgery

Obesity and overnutrition during pregnancy affect fetal programming of adult disease. Children born after maternal bariatric gastrointestinal bypass surgery (AMS) are less obese and exhibit improved cardiometabolic risk profiles carried into adulthood compared with siblings born before maternal surgery (BMS). This study was designed to analyze the impact of maternal weight loss surgery on methylation levels of genes involved in cardiometabolic pathways in BMS and AMS offspring. Differential methylation analysis between a sibling cohort of 25 BMS and 25 AMS (2–25 y-old) offspring from 20 mothers was conducted to identify biological functions and pathways potentially involved in the improved cardiometabolic profile found in AMS compared with BMS offspring. Links between gene methylation and expression levels were assessed by correlating genomic findings with plasma markers of insulin resistance (fasting insulin and homeostatic model of insulin resistance). A total of 5,698 genes were differentially methylated between BMS and AMS siblings, exhibiting a preponderance of glucoregulatory, inflammatory, and vascular disease genes. Statistically significant correlations between gene methylation levels and gene expression and plasma markers of insulin resistance were consistent with metabolic improvements in AMS offspring, reflected in genes involved in diabetes-related cardiometabolic pathways. This unique clinical study demonstrates that effective treatment of a maternal phenotype is durably detectable in the methylome and transcriptome of subsequent offspring.

Methylation and expression of immune and inflammatory genes in the offspring of bariatric bypass surgery patients.

Background. Maternal obesity, excess weight gain and overnutrition during pregnancy increase risks of obesity, type 2 diabetes mellitus, and cardiovascular disease in the offspring. Maternal biliopancreatic diversion is an effective treatment for severe obesity and is beneficial for offspring born after maternal surgery (AMS). These offspring exhibit lower severe obesity prevalence and improved cardiometabolic risk factors including inflammatory marker compared to siblings born before maternal surgery (BMS). Objective. To assess relationships between maternal bariatric surgery and the methylation/expression of genes involved in the immune and inflammatory pathways. Methods. A differential gene methylation analysis was conducted in a sibling cohort of 25 BMS and 25 AMS offspring from 20 mothers. Following differential gene expression analysis (23 BMS and 23 AMS), pathway analysis was conducted. Correlations between gene methylation/expression and circulating inflammatory markers were computed. Results. Five immune and inflammatory pathways with significant overrepresentation of both differential gene methylation and expression were identified. In the IL-8 pathway, gene methylation correlated with both gene expression and plasma C-reactive protein levels. Conclusion. These results suggest that improvements in cardiometabolic risk markers in AMS compared to BMS offspring may be mediated through differential methylation of genes involved in immune and inflammatory pathways.

Characterization of functional methylomes by next-generation capture sequencing identifies novel disease-associated variants.

The scaling of observable properties of galaxy clusters with mass evolves with time. Assessing the role of the evolution is crucial to study the formation and evolution of massive halos and to avoid biases in the calibration. We present a general method to infer the mass and the redshift dependence, and the time-evolving intrinsic scatter of the mass–observable relations. The procedure self-calibrates the redshift dependent completeness function of the sample. The intrinsic scatter in the mass estimates used to calibrate the relation is considered too. We apply the method to the scaling of mass M∆ versus line of sight galaxy velocity dispersion σv, optical richness, X-ray luminosity, LX, and Sunyaev-Zel’dovich signal. Masses were calibrated with weak lensing measurements. The measured relations are in good agreement with time and mass dependencies predicted in the self-similar scenario of structure formation. The lone exception is the LX-M∆ relation whose time evolution is negative in agreement with formation scenarios with additional radiative cooling and uniform preheating at high redshift. The intrinsic scatter in the σv-M∆ relation is notably small, of order of 14 per cent. Robust predictions on the observed properties of the galaxy clusters in the CLASH sample are provided as cases of study. Catalogs and scripts are publicly available at http://pico.bo.astro.it/~sereno/CoMaLit/.Most genome-wide methylation studies (EWAS) of multifactorial disease traits use targeted arrays or enrichment methodologies preferentially covering CpG-dense regions, to characterize sufficiently large samples. To overcome this limitation, we present here a new customizable, cost-effective approach, methylC-capture sequencing (MCC-Seq), for sequencing functional methylomes, while simultaneously providing genetic variation information. To illustrate MCC-Seq, we use whole-genome bisulfite sequencing on adipose tissue (AT) samples and public databases to design AT-specific panels. We establish its efficiency for high-density interrogation of methylome variability by systematic comparisons with other approaches and demonstrate its applicability by identifying novel methylation variation within enhancers strongly correlated to plasma triglyceride and HDL-cholesterol, including at CD36. Our more comprehensive AT panel assesses tissue methylation and genotypes in parallel at ∼4 and ∼3 M sites, respectively. Our study demonstrates that MCC-Seq provides comparable accuracy to alternative approaches but enables more efficient cataloguing of functional and disease-relevant epigenetic and genetic variants for large-scale EWAS.

Mutational analysis of the breast cancer susceptibility gene BRIP1 /BACH1/FANCJ in high-risk non- BRCA1/BRCA2 breast cancer families

AbstractThe BRIP1 gene encodes a helicase interacting with BRCA1, which contributes to BRCA1-associated DNA repair function. Germ-line BRIP1 mutations affecting the helicase domain activity have been identified in early onset breast cancer patients. In addition, BRIP1 was recently identified as deficient in Fanconi anemia (FA) complementation group J. Given the growing evidence now linking BRCA1, BRCA2, and the FA pathway, as well as the involvement of FA proteins (BRCA2/FANCD1 and PALB2/FANCN) in breast cancer susceptibility, we sought to evaluate the contribution of FANCJ gene alterations regarding breast cancer susceptibility among our cohort of 96 breast cancer individuals from high-risk non-BRCA1/2 French Canadian families. No deleterious mutation, exon deletion, or retention of intronic portions could be identified. However, extensive analysis of the promoter and whole exonic and flanking intronic regions of FANCJ led to the identification of 42 variants, including 22 novel variants not previously reported, four of which were located in the promoter region. Transcription factors analysis revealed a potential involvement of FANCJ promoter variants in regulation of FANCJ expression, and reporter gene assays were performed. The allelic frequency was assessed in a cohort of 73 unaffected French Canadian individuals, and haplotype analysis and tagging single nucleotide polymorphism (SNP) identification were also performed. Although our study unlikely involves FANCJ as a high-risk predisposition gene in non-BRCA1/2 high-risk French Canadian families, the possible association of FANCJ missense variants with phenotypes associated with FA, such as childhood cancer, cannot be excluded.

Differential methylation in visceral adipose tissue of obese men discordant for metabolic disturbances

Obesity is associated with an increased risk of Type 2 diabetes and cardiovascular diseases (CVD). The severely obese population is heterogeneous regarding CVD risk profile. Our objective was to identify metabolic pathways potentially associated with development of metabolic syndrome (MetS) through an analysis of overrepresented pathways from differentially methylated genes between severely obese men with (MetS+) and without (MetS-) the MetS. Genome-wide quantitative DNA methylation analysis in VAT of severely obese men was carried out using the Infinium HumanMethylation450 BeadChip. Differences in methylation levels between MetS+ (n = 7) and MetS- (n = 7) groups were tested. Overrepresented pathways from the list of differentially methylated genes were identified and visualized with the Ingenuity Pathway Analysis system. Differential methylation analysis between MetS+ and MetS- groups identified 8,578 methylation probes (3,258 annotated genes) with significant differences in methylation levels (false discovery rate-corrected DiffScore ≥ |13| ∼ P ≤ 0.05). Pathway analysis from differentially methylated genes identified 41 overrepresented (P ≤ 0.05) pathways. The most overrepresented pathways were related to structural components of the cell membrane, inflammation and immunity and cell cycle regulation. This study provides potential targets associated with adipose tissue dysfunction and development of the MetS.

Genetic sequence variations of BRCA1-interacting genes AURKA, BAP1, BARD1 and DHX9 in French Canadian Families with high risk of breast cancer

Breast cancer is a heterogeneous disease displaying some degree of familial clustering. Highly penetrant breast cancer susceptibility genes represent approximately 20–25% of the familial aggregation of breast cancer. A significant proportion of this familial aggregation of breast cancer is thus yet to be explained by other breast cancer susceptibility genes. Given the high susceptibility conferred by the two major breast cancer predisposition genes, BRCA1 and BRCA2 and the implication of these genes in many key cellular processes, assessment of genes encoding BRCA1-interacting proteins as plausible breast cancer candidate genes is thus attractive. In this study, four genes encoding BRCA1-interacting proteins were analyzed in a cohort of 96 breast cancer individuals from high-risk non-BRCA1/BRCA2 French Canadian families. Although no deleterious truncating germline mutations or aberrant spliced mRNA species were identified, a total of 10, 4, 11 and 6 variants were found in the AURKA, BAP1, BARD1 and DHX9 genes, respectively. The allele frequency of each variant was further ascertained in a cohort of 98 healthy French Canadian unrelated women and a difference in allele frequency was observed for one BARD1 variant based on single-marker analysis. Haplotype estimation, haplotype blocks and tagging SNPs identification were then performed for each gene, providing a valuable tool for further searches of common disease-associated variants in these genes and therefore further analyses on these genes in larger cohorts is warranted in the search of low-to-moderate penetrance breast cancer susceptibility alleles.

Germline mutations in the breast cancer susceptibility gene PTEN are rare in high-risk non-BRCA1/2 French Canadian breast cancer families

Cowden syndrome is a disease associated with an increase in breast cancer susceptibility. Alleles in PTEN and other breast cancer susceptibility genes would be responsible for ∼25% of the familial component of breast cancer risk, BRCA1 and BRCA2 being the two major genes responsible for this inherited risk. In order to evaluate the proportion of high-risk French Canadian non-BRCA1/BRCA2 breast/ovarian cancer families potentially harboring a PTEN germline mutation, the whole coding and flanking intronic sequences were analyzed in a series of 98 breast cancer cases. Although no germline mutation has been identified in the coding region, our study led to the identification of four intronic variants. Further investigations were performed to analyze the effect of these variants, alone and/or in combination, on splicing and PTEN protein levels. Despite suggestive evidence emerging from in silico analyses, the presence of these intronic variants do not seem to alter RNA splicing or PTEN protein levels. In addition, as loss of PTEN or part of it has been reported, Western blot analysis has also been performed. No major deletion could be identified in our cohort. Therefore, assuming a Poisson distribution for the frequency of deleterious mutation in our cohort, if the frequency of such deleterious mutation was 2%, we would have had a 90% or greater chance of observing at least one such mutation. These results suggest that PTEN germline mutations are rare and are unlikely to account for a significant proportion of familial breast cancer cases in the French Canadian population.

Genome-wide association study of the plasma triglyceride response to an n-3 polyunsaturated fatty acid supplementation

Studies have shown a large interindividual variability in plasma TG response to long-chain n-3 PUFA supplementation, which may likely be attributable to genetic variability within the populations studied. The objective is to compare the frequency of SNPs in a genome-wide association study between responders (reduction in plasma TG levels ≥0.01 mM) and nonresponders (increase in plasma TG of ≥0 mM) to supplementation. Genomic DNA from 141 subjects who completed a 2-week run-in period followed by 6-week supplementation with 5 g of fish oil daily (1.9–2.2 g EPA and 1.1 g DHA daily) were genotyped on Illumina HumanOmni-5-QuadBeadChip. Thirteen loci had frequency differences between responders and nonresponders (P < 1 × 10−5), including SNPs in or near IQCJ-SCHIP1, MYB, NELL1, NXPH1, PHF17, and SLIT2 genes. A genetic risk score (GRS) was constructed by summing the number of risk alleles. This GRS explained 21.53% of the variation in TG response to n-3 PUFA supplementation when adjusted for age, sex, and BMI (P = 0.0002). Using Fish Oil Intervention and Genotype as a replication cohort, the GRS was able to explain 2% of variation in TG response when adjusted. In conclusion, subjects who decrease their plasma TG levels following n-3 PUFA supplementation may have a different genetic profile than individuals who do not respond.

Evaluation of the contribution of the three breast cancer susceptibility genes CHEK2, STK11, and PALB2 in non-BRCA1/2 French Canadian families with high risk of breast cancer.

Inactivating mutations of the CHEK2 and STK11 genes are responsible for Li-Fraumeni and Peutz-Jeghers syndrome, respectively, both autosomal dominant syndromes associated with an increased risk of breast cancer. The PALB2/FANCN gene encodes a nuclear partner of BRCA2 and acts as a linker between BRCA1 and BRCA2. Monoallelic PALB2 truncating mutations were shown to confer higher risk of breast cancer. To evaluate the proportion of French Canadian non-BRCA1/BRCA2 families with high risk of breast cancer potentially harboring alterations in these three breast cancer susceptibility genes, the whole coding and flanking intronic sequences were analyzed in a series of 96 high-risk breast cancer individuals. Despite no PALB2 deleterious truncating mutations being identified, the c.1100delC breast-cancer-associated CHEK2 mutation and a STK11 mutation reported to be the causative mutation in a Peutz-Jeghers family were identified. This extensive analysis also led to the identification of several variants in these genes. Ascertainment of allele frequency of these variants in a cohort of 96 healthy unrelated women suggests a difference in allele frequency for two STK11 intronic variants. In addition, large genomic rearrangements in both STK11 and PALB2 were also examined. Our analysis led to the conclusion that CHEK2, STK11, and PALB2 mutations or large genomic rearrangements of either STK11 or PALB2 are rare, and do not contribute to a substantial fraction of breast cancer susceptibility in high-risk French Canadian breast cancer families.

Functional variation in allelic methylomes underscores a strong genetic contribution and reveals novel epigenetic alterations in the human epigenome

BackgroundThe functional impact of genetic variation has been extensively surveyed, revealing that genetic changes correlated to phenotypes lie mostly in non-coding genomic regions. Studies have linked allele-specific genetic changes to gene expression, DNA methylation, and histone marks but these investigations have only been carried out in a limited set of samples.ResultsWe describe a large-scale coordinated study of allelic and non-allelic effects on DNA methylation, histone mark deposition, and gene expression, detecting the interrelations between epigenetic and functional features at unprecedented resolution. We use information from whole genome and targeted bisulfite sequencing from 910 samples to perform genotype-dependent analyses of allele-specific methylation (ASM) and non-allelic methylation (mQTL). In addition, we introduce a novel genotype-independent test to detect methylation imbalance between chromosomes. Of the ~2.2 million CpGs tested for ASM, mQTL, and genotype-independent effects, we identify ~32% as being genetically regulated (ASM or mQTL) and ~14% as being putatively epigenetically regulated. We also show that epigenetically driven effects are strongly enriched in repressed regions and near transcription start sites, whereas the genetically regulated CpGs are enriched in enhancers. Known imprinted regions are enriched among epigenetically regulated loci, but we also observe several novel genomic regions (e.g., HOX genes) as being epigenetically regulated. Finally, we use our ASM datasets for functional interpretation of disease-associated loci and show the advantage of utilizing naïve T cells for understanding autoimmune diseases.ConclusionsOur rich catalogue of haploid methylomes across multiple tissues will allow validation of epigenome association studies and exploration of new biological models for allelic exclusion in the human genome.