Network


Latest external collaboration on country level. Dive into details by clicking on the dots.

Hotspot


Dive into the research topics where Manon Bernard is active.

Publication


Featured researches published by Manon Bernard.


Nature Genetics | 2012

Identification of common variants associated with human hippocampal and intracranial volumes

Jason L. Stein; Sarah E. Medland; A A Vasquez; Derrek P. Hibar; R. E. Senstad; Anderson M. Winkler; Roberto Toro; K Appel; R. Bartecek; Ørjan Bergmann; Manon Bernard; Andrew Anand Brown; Dara M. Cannon; M. Mallar Chakravarty; Andrea Christoforou; M. Domin; Oliver Grimm; Marisa Hollinshead; Avram J. Holmes; Georg Homuth; J.J. Hottenga; Camilla Langan; Lorna M. Lopez; Narelle K. Hansell; Kristy Hwang; Sungeun Kim; Gonzalo Laje; Phil H. Lee; Xinmin Liu; Eva Loth

Identifying genetic variants influencing human brain structures may reveal new biological mechanisms underlying cognition and neuropsychiatric illness. The volume of the hippocampus is a biomarker of incipient Alzheimers disease and is reduced in schizophrenia, major depression and mesial temporal lobe epilepsy. Whereas many brain imaging phenotypes are highly heritable, identifying and replicating genetic influences has been difficult, as small effects and the high costs of magnetic resonance imaging (MRI) have led to underpowered studies. Here we report genome-wide association meta-analyses and replication for mean bilateral hippocampal, total brain and intracranial volumes from a large multinational consortium. The intergenic variant rs7294919 was associated with hippocampal volume (12q24.22; N = 21,151; P = 6.70 × 10−16) and the expression levels of the positional candidate gene TESC in brain tissue. Additionally, rs10784502, located within HMGA2, was associated with intracranial volume (12q14.3; N = 15,782; P = 1.12 × 10−12). We also identified a suggestive association with total brain volume at rs10494373 within DDR2 (1q23.3; N = 6,500; P = 5.81 × 10−7).


Human Brain Mapping | 2007

Genes, maternal smoking, and the offspring brain and body during adolescence: Design of the Saguenay Youth Study

Zdenka Pausova; Tomáš Paus; Michal Abrahamowicz; Jason B. Almerigi; Nadine Arbour; Manon Bernard; Daniel Gaudet; Petr Hanzalek; Pavel Hamet; Alan C. Evans; Michael S. Kramer; Luc Laberge; Susan M. Leal; Gabriel Leonard; Jackie Lerner; Richard M. Lerner; Jean Mathieu; Michel Perron; Bruce Pike; Alain Pitiot; Louis Richer; Jean R. Séguin; Catriona Syme; Roberto Toro; Richard E. Tremblay; Suzanne Veillette; Kate E. Watkins

The search for genes of complex traits is aided by the availability of multiple quantitative phenotypes collected in geographically isolated populations. Here we provide rationale for a large‐scale study of gene‐environment interactions influencing brain and behavior and cardiovascular and metabolic health in adolescence, namely the Saguenay Youth Study (SYS). The SYS is a retrospective study of long‐term consequences of prenatal exposure to maternal cigarette smoking (PEMCS) in which multiple quantitative phenotypes are acquired over five sessions (telephone interview, home, hospital, laboratory, and school). To facilitate the search for genes that modify an individuals response to an in utero environment (i.e. PEMCS), the study is family‐based (adolescent sibships) and is carried out in a relatively geographically isolated population of the Saguenay Lac‐Saint‐Jean (SLSJ) region in Quebec, Canada. DNA is acquired in both biological parents and in adolescent siblings. A genome‐wide scan will be carried out with sib‐pair linkage analyses, and fine mapping of identified loci will be done with family‐based association analyses. Adolescent sibships (12–18 years of age; two or more siblings per family) are recruited in high schools throughout the SLSJ region; only children of French‐Canadian origin are included. Based on a telephone interview, potential participants are classified as exposed or nonexposed prenatally to maternal cigarette smoking; the two groups are matched for the level of maternal education and the attended school. A total of 500 adolescent participants in each group will be recruited and phenotyped. The following types of datasets are collected in all adolescent participants: (1) magnetic resonance images of brain, abdominal fat, and kidneys, (2) standardized and computer‐based neuropsychological tests, (3) hospital‐based cardiovascular, body‐composition and metabolic assessments, and (4) questionnaire‐derived measures (e.g. life habits such as eating and physical activity; drug, alcohol use and delinquency; psychiatric symptoms; personality; home and school environment; academic and vocational attitudes). Parents complete a medical questionnaire, home‐environment questionnaire, a handedness questionnaire, and a questionnaire about their current alcohol and drug use, depression, anxiety, and current and past antisocial behavior. To date, we have fully phenotyped a total of 408 adolescent participants. Here we provide the description of the SYS and, using the initial sample, we present information on ascertainment, demographics of the exposed and nonexposed adolescents and their parents, and the initial MRI‐based assessment of familiality in the brain size and the volumes of grey and white matter. Hum Brain Mapp 2007.


Hypertension | 2005

Genome-Wide Scan for Linkage to Obesity-Associated Hypertension in French Canadians

Zdenka Pausova; Daniel Gaudet; Francis Gossard; Manon Bernard; Mary L. Kaldunski; Michèle Jomphe; Johanne Tremblay; Thomas J. Hudson; Gérard Bouchard; Theodore A. Kotchen; Allen W. Cowley; Pavel Hamet

Essential hypertension is a heterogeneous disorder that is thought to develop because of several overlapping subsets of underlying mechanisms. One such causal pathway may involve pathophysiological alterations induced by obesity. In the present study, we examined whether investigating clinically defined subtypes of hypertension, such as obesity-associated hypertension, facilitates the search for its genes. Fifty-five extended families were selected on the basis of having ≥2 siblings affected by hypertension from a geographically remote French-Canadian population. Fifteen of these families showed a high prevalence (≥70%) of obesity. Genome-wide scan using qualitative multipoint linkage analysis (GeneHunter 2.1; marker density <10 cM) was performed in the entire set of hypertensive families and the subset with high prevalence of obesity. In the scan involving all 55 families, the most significant loci (logarithm of odds [LOD] score=2.5) were identified on chromosomes 1 (D1S1597) and 11 (D11S1999). In the scan including only the subset of families with obesity-hypertension, the most significant locus (LOD score=3.1) was found on chromosome 1 in the same region as the scan involving all families (D1S1597). Genotyping additional markers increased the significance of this locus (LOD score=3.5) and refined its position (D1S2672). Several candidate genes of obesity-hypertension are located in close proximity; these include the tumor necrosis factor receptor 2 and atrial natriuretic peptide genes. These results suggest that investigating clinically defined subtypes of hypertension, such as obesity-associated hypertension, may facilitate the search for genes of this complex disorder.


Clinical Genetics | 1999

Procedure to protect confidentiality of familial data in community genetics and genomic research

Daniel Gaudet; Steve Arsenault; Céline Bélanger; Thomas J. Hudson; Patrice Perron; Manon Bernard; Pavel Hamet

The collection of familial data is an essential step for community genetics programs or genetic research. Ethical issues concerning privacy and confidentiality present a major challenge in such programs. In order to keep familial data confidential, we have developed a family‐based numerical coding procedure which allows the use of confidential data and the determination of familial relationships without risk of disclosure. This procedure is composed of two parts: the physical separation of identifying information and individual data; and the use of a code containing all the information required to build family trees. This procedure has been used in Eastern Quebec since 1995, mainly for screening, genetic counseling, research on familial dyslipidemias, public health intervention, and research projects on the genetics of complex traits, such as arterial hypertension and coronary artery disease.


Human Molecular Genetics | 2013

FTO, obesity and the adolescent brain

Melkaye G. Melka; Jesse Gillis; Manon Bernard; Michal Abrahamowicz; M. Mallar Chakravarty; Gabriel Leonard; Michel Perron; Louis Richer; Suzanne Veillette; Tobias Banaschewski; Gareth J. Barker; Christian Büchel; Patricia J. Conrod; Herta Flor; Andreas Heinz; Hugh Garavan; Rüdiger Brühl; Karl Mann; Eric Artiges; Anbarasu Lourdusamy; Mark Lathrop; Eva Loth; Yannick Schwartz; Vincent Frouin; Marcella Rietschel; Michael N. Smolka; Andreas Ströhle; Jürgen Gallinat; Maren Struve; Eva Lattka

Genetic variations in fat mass- and obesity (FTO)-associated gene, a well-replicated gene locus of obesity, appear to be associated also with reduced regional brain volumes in elderly. Here, we examined whether FTO is associated with total brain volume in adolescence, thus exploring possible developmental effects of FTO. We studied a population-based sample of 598 adolescents recruited from the French Canadian founder population in whom we measured brain volume by magnetic resonance imaging. Total fat mass was assessed with bioimpedance and body mass index was determined with anthropometry. Genotype-phenotype associations were tested with Merlin under an additive model. We found that the G allele of FTO (rs9930333) was associated with higher total body fat [TBF (P = 0.002) and lower brain volume (P = 0.005)]. The same allele was also associated with higher lean body mass (P = 0.03) and no difference in height (P = 0.99). Principal component analysis identified a shared inverse variance between the brain volume and TBF, which was associated with FTO at P = 5.5 × 10(-6). These results were replicated in two independent samples of 413 and 718 adolescents, and in a meta-analysis of all three samples (n = 1729 adolescents), FTO was associated with this shared inverse variance at P = 1.3 × 10(-9). Co-expression networks analysis supported the possibility that the underlying FTO effects may occur during embryogenesis. In conclusion, FTO is associated with shared inverse variance between body adiposity and brain volume, suggesting that this gene may exert inverse effects on adipose and brain tissues. Given the completion of the overall brain growth in early childhood, these effects may have their origins during early development.


The Journal of Clinical Endocrinology and Metabolism | 2012

Genome-Wide Scan for Loci of Adolescent Obesity and Their Relationship with Blood Pressure

Melkaye G. Melka; Manon Bernard; Amel Mahboubi; Michal Abrahamowicz; Andrew D. Paterson; Catriona Syme; Anbarasu Lourdusamy; Gunter Schumann; Gabriel Leonard; Michel Perron; Louis Richer; Suzanne Veillette; Daniel Gaudet; Tomáš Paus; Zdenka Pausova

CONTEXT Hypertension, typically considered a disorder of adulthood, is now emerging in adolescence. This is mainly due to the growing prevalence of obesity and the fact that excess body fat increases blood pressure (BP). OBJECTIVE The objective of the study was to investigate whether genome-wide identified gene loci of obesity are associated with elevated BP in adolescence. DESIGN This was a genotype-phenotype association study. SETTING The study was conducted in a French-Canadian founder population. PARTICIPANTS Participants included 598 adolescents, aged 12-18 yr. INTERVENTION Testing associations between 530,011 single-nucleotide polymorphisms (SNP; Human610W-Quad BeadChip) and obesity measures and between identified SNP and BP. PRIMARY OUTCOME MEASURES Total fat mass (TFM) was assessed with bioelectrical impedance, and body mass index (BMI) was determined with anthropometry. BP was measured beat by beat during an hour-long protocol. RESULTS The genome-wide association studies of TFM and BMI revealed two novel and several previously identified loci of obesity. The former were PAX5 (rs16933812, TFM: P = 9.3 × 10(-9)) and MRPS22 (rs7638110, BMI: P = 4.6 × 10(-8)), and the top ones among the latter (P < 5 × 10(-4)) were MC4R (rs17773430, BMI: P = 5.8 × 10(-6)), FTO (rs9930333, BMI: P = 1.9 × 10(-4)), and MTCH2 (rs7120548, BMI: P = 1.9 × 10(-4)). From these five, only the PAX5, MRPS22, and FTO were also associated with BP; their minor allele homozygotes vs. major allele homozygotes showed greater TFM by 2.9-8.0 kg and higher BP by 3.3-6.7 mm Hg. CONCLUSIONS Genome-wide association studies conducted in an adolescent founder population revealed two new and a number of previously identified loci of obesity and demonstrated that several but not all of these loci are also associated with elevated BP. These results begin to reveal the genetic architecture of obesity-induced hypertension.


Translational Psychiatry | 2016

Genome-wide association study of lifetime cannabis use based on a large meta-analytic sample of 32 330 subjects from the International Cannabis Consortium

S Stringer; Camelia C. Minică; Karin J. H. Verweij; Hamdi Mbarek; Manon Bernard; Jaime Derringer; K.R. van Eijk; Joshua D. Isen; Anu Loukola; D.F. Maciejewski; Evelin Mihailov; P.J. van der Most; Cristina Sánchez-Mora; Leonie Roos; Richard Sherva; Raymond K. Walters; Jennifer J. Ware; Abdel Abdellaoui; Timothy B. Bigdeli; Susan J. T. Branje; Sandra A. Brown; Marcel Bruinenberg; Miguel Casas; Tonu Esko; Iris Garcia-Martínez; S. D. Gordon; Juliette Harris; Catharina A. Hartman; Anjali K. Henders; A. C. Heath

Cannabis is the most widely produced and consumed illicit psychoactive substance worldwide. Occasional cannabis use can progress to frequent use, abuse and dependence with all known adverse physical, psychological and social consequences. Individual differences in cannabis initiation are heritable (40–48%). The International Cannabis Consortium was established with the aim to identify genetic risk variants of cannabis use. We conducted a meta-analysis of genome-wide association data of 13 cohorts (N=32 330) and four replication samples (N=5627). In addition, we performed a gene-based test of association, estimated single-nucleotide polymorphism (SNP)-based heritability and explored the genetic correlation between lifetime cannabis use and cigarette use using LD score regression. No individual SNPs reached genome-wide significance. Nonetheless, gene-based tests identified four genes significantly associated with lifetime cannabis use: NCAM1, CADM2, SCOC and KCNT2. Previous studies reported associations of NCAM1 with cigarette smoking and other substance use, and those of CADM2 with body mass index, processing speed and autism disorders, which are phenotypes previously reported to be associated with cannabis use. Furthermore, we showed that, combined across the genome, all common SNPs explained 13–20% (P<0.001) of the liability of lifetime cannabis use. Finally, there was a strong genetic correlation (rg=0.83; P=1.85 × 10−8) between lifetime cannabis use and lifetime cigarette smoking implying that the SNP effect sizes of the two traits are highly correlated. This is the largest meta-analysis of cannabis GWA studies to date, revealing important new insights into the genetic pathways of lifetime cannabis use. Future functional studies should explore the impact of the identified genes on the biological mechanisms of cannabis use.


Molecular Psychiatry | 2014

Opioid receptor mu 1 gene, fat intake and obesity in adolescence

A Haghighi; Melkaye G. Melka; Manon Bernard; Michal Abrahamowicz; Gabriel Leonard; Louis Richer; Michel Perron; Suzanne Veillette; C J Xu; C M T Greenwood; A Dias; A El-Sohemy; Daniel Gaudet; Tomáš Paus; Zdenka Pausova

Dietary preference for fat may increase risk for obesity. It is a complex behavior regulated in part by the amygdala, a brain structure involved in reward processing and food behavior, and modulated by genetic factors. Here, we conducted a genome-wide association study (GWAS) to search for gene loci associated with dietary intake of fat, and we tested whether these loci are also associated with adiposity and amygdala volume. We studied 598 adolescents (12–18 years) recruited from the French–Canadian founder population and genotyped them with 530 011 single-nucleotide polymorphisms. Fat intake was assessed with a 24-hour food recall. Adiposity was examined with anthropometry and bioimpedance. Amygdala volume was measured by magnetic resonance imaging. GWAS identified a locus of fat intake in the μ-opioid receptor gene (OPRM1, rs2281617, P=5.2 × 10−6), which encodes a receptor expressed in the brain-reward system and shown previously to modulate fat preference in animals. The minor OPRM1 allele appeared to have a ‘protective’ effect: it was associated with lower fat intake (by 4%) and lower body-fat mass (by ∼2 kg, P=0.02). Consistent with the possible amygdala-mediated inhibition of fat preference, this allele was additionally associated with higher amygdala volume (by 69 mm3, P=0.02) and, in the carriers of this allele, amygdala volume correlated inversely with fat intake (P=0.02). Finally, OPRM1 was associated with fat intake in an independent sample of 490 young adults. In summary, OPRM1 may modulate dietary intake of fat and hence risk for obesity, and this effect may be modulated by subtle variations in the amygdala volume.


Cerebral Cortex | 2012

KCTD8 Gene and Brain Growth in Adverse Intrauterine Environment: A Genome-wide Association Study

Tomáš Paus; Manon Bernard; M. Mallar Chakravarty; George Davey Smith; Jesse Gillis; Anbarasu Lourdusamy; Melkaye G. Melka; Gabriel Leonard; Paul Pavlidis; Michel Perron; G. Bruce Pike; Louis Richer; Gunter Schumann; Nicholas J. Timpson; Roberto Toro; Suzanne Veillette; Zdenka Pausova

The most dramatic growth of the human brain occurs in utero and during the first 2 years of postnatal life. Genesis of the cerebral cortex involves cell proliferation, migration, and apoptosis, all of which may be influenced by prenatal environment. Here, we show that variation in KCTD8 (potassium channel tetramerization domain 8) is associated with brain size in female adolescents (rs716890, P = 5.40 × 10(-09)). Furthermore, we found that the KCTD8 locus interacts with prenatal exposure to maternal cigarette smoking vis-à-vis cortical area and cortical folding: In exposed girls only, the KCTD8 locus explains up to 21% of variance. Using head circumference as a proxy of brain size at 7 years of age, we have replicated this gene-environment interaction in an independent sample. We speculate that KCTD8 might modulate adverse effects of smoking during pregnancy on brain development via apoptosis triggered by low intracellular levels of potassium, possibly reducing the number of progenitor cells.


International Journal of Epidemiology | 2016

Cohort Profile: The Saguenay Youth Study (SYS)

Zdenka Pausova; Tomáš Paus; Michal Abrahamowicz; Manon Bernard; Daniel Gaudet; Gabriel Leonard; Michel Peron; G. Bruce Pike; Louis Richer; Jean R. Séguin; Suzanne Veillette

The Saguenay Youth Study (SYS) is a two-generational study of adolescents and their parents (n = 1029 adolescents and 962 parents) aimed at investigating the aetiology, early stages and trans-generational trajectories of common cardiometabolic and brain diseases. The ultimate goal of this study is to identify effective means for increasing healthy life expectancy. The cohort was recruited from the genetic founder population of the Saguenay Lac St Jean region of Quebec, Canada. The participants underwent extensive (15-h) phenotyping, including an hour-long recording of beat-by-beat blood pressure, magnetic resonance imaging of the brain and abdomen, and serum lipidomic profiling with LC-ESI-MS. All participants have been genome-wide genotyped (with ∼ 8 M imputed single nucleotide polymorphisms) and a subset of them (144 adolescents and their 288 parents) has been genome-wide epityped (whole blood DNA, Infinium HumanMethylation450K BeadChip). These assessments are complemented by a detailed evaluation of each participant in a number of domains, including cognition, mental health and substance use, diet, physical activity and sleep, and family environment. The data collection took place during 2003-12 in adolescents (full) and their parents (partial), and during 2012-15 in parents (full). All data are available upon request.

Collaboration


Dive into the Manon Bernard's collaboration.

Top Co-Authors

Avatar

Daniel Gaudet

Université de Montréal

View shared research outputs
Top Co-Authors

Avatar

Gabriel Leonard

Montreal Neurological Institute and Hospital

View shared research outputs
Top Co-Authors

Avatar

Louis Richer

Université du Québec à Chicoutimi

View shared research outputs
Top Co-Authors

Avatar
Top Co-Authors

Avatar

Michel Perron

Université du Québec à Chicoutimi

View shared research outputs
Top Co-Authors

Avatar

Suzanne Veillette

Université du Québec à Chicoutimi

View shared research outputs
Top Co-Authors

Avatar
Top Co-Authors

Avatar

Zdenka Pausova

University of Nottingham

View shared research outputs
Top Co-Authors

Avatar
Top Co-Authors

Avatar
Researchain Logo
Decentralizing Knowledge