Cohort Profile: The Saguenay Youth Study (SYS).

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.

[1]  Kevin D Hall,et al.  Calorie for Calorie, Dietary Fat Restriction Results in More Body Fat Loss than Carbohydrate Restriction in People with Obesity. , 2015, Cell metabolism.

[2]  Angelita Pui-Yee Wong,et al.  Investigating the possible causal association of smoking with depression and anxiety using Mendelian randomisation meta-analysis: the CARTA consortium , 2014, BMJ Open.

[3]  Shumei S. Sun,et al.  Visceral adiposity and its anatomical distribution as predictors of the metabolic syndrome and cardiometabolic risk factor levels. , 2008, The American journal of clinical nutrition.

[4]  Louis Richer,et al.  Functional Variation in the Androgen-Receptor Gene Is Associated With Visceral Adiposity and Blood Pressure in Male Adolescents , 2010, Hypertension.

[5]  G. Bruce Puberty and testosterone shape the corticospinal tract during male adolescence , 2016 .

[6]  R. Tremblay,et al.  Cohort profile: the Quebec Longitudinal Study of Kindergarten Children (QLSKC). , 2014, International journal of epidemiology.

[7]  T. Paus,et al.  A Comparative, Developmental, and Clinical Perspective of Neurobehavioral Sexual Dimorphisms , 2012, Front. Neurosci..

[8]  C. Férec,et al.  Complete identification of cystic fibrosis transmembrane conductance regulator mutations in the CF population of Saguenay Lac‐Saint‐Jean (Quebec, Canada) , 1998, Clinical genetics.

[9]  G. Parker,et al.  Parental Bonding Instrument , 1994, Social Psychiatry and Psychiatric Epidemiology.

[10]  O. Thulesius,et al.  Continuous non‐invasive finger blood pressure monitoring in children , 1994, Acta paediatrica.

[11]  Roberto Toro,et al.  KCTD8 gene and brain growth in adverse intrauterine environment: a genome-wide association study. , 2012, Cerebral cortex.

[12]  P. Costa,et al.  Revised NEO Personality Inventory (NEO-PI-R) and NEO-Five-Factor Inventory (NEO-FFI) , 1992 .

[13]  M. Weissman,et al.  Brief screening for family psychiatric history: the family history screen. , 2000, Archives of general psychiatry.

[14]  D. Sheehan,et al.  The Mini-International Neuropsychiatric Interview (M.I.N.I.): the development and validation of a structured diagnostic psychiatric interview for DSM-IV and ICD-10. , 1998, The Journal of clinical psychiatry.

[15]  J. Martin,et al.  Births: final data for 2005. , 2007, National vital statistics reports : from the Centers for Disease Control and Prevention, National Center for Health Statistics, National Vital Statistics System.

[16]  K. Yaffe,et al.  The projected effect of risk factor reduction on Alzheimer's disease prevalence , 2011, The Lancet Neurology.

[17]  Rebecca C. Knickmeyer,et al.  A Structural MRI Study of Human Brain Development from Birth to 2 Years , 2008, The Journal of Neuroscience.

[18]  Giuseppe Mancia,et al.  Point: Counterpoint: Cardiovascular variability is/is not an index of autonomic control of circulation , 2006 .

[19]  B. Westerhof,et al.  Variable day/night bias in 24-h non-invasive finger pressure against intrabrachial artery pressure is removed by waveform filtering and level correction , 2002, Journal of hypertension.

[20]  P. Kenny,et al.  Common cellular and molecular mechanisms in obesity and drug addiction , 2011, Nature Reviews Neuroscience.

[21]  Roberto Toro,et al.  Prenatal Exposure to Maternal Cigarette Smoking and the Adolescent Cerebral Cortex , 2008, Neuropsychopharmacology.

[22]  L. Radloff The CES-D Scale , 1977 .

[23]  A. Paterson,et al.  Genome-wide scan for loci of adolescent obesity and their relationship with blood pressure. , 2012, The Journal of clinical endocrinology and metabolism.

[24]  T. Bjarnason,et al.  The 2011 ESPAD report: substance use among students in 36 European countries. , 2012 .

[25]  D. Reiss,et al.  Maternal smoking during pregnancy and offspring conduct problems: evidence from 3 independent genetically sensitive research designs. , 2013, JAMA psychiatry.

[26]  K. Brownell,et al.  Preliminary validation of the Yale Food Addiction Scale , 2009, Appetite.

[27]  T. Paus,et al.  Prenatal Exposure to Maternal Cigarette Smoking and Accumulation of Intra‐abdominal Fat During Adolescence , 2010, Obesity.

[28]  Deborah H. Schwartz,et al.  Visceral fat is associated with lower executive functioning in adolescents , 2013, International Journal of Obesity.

[29]  G. Canino,et al.  The DISC Predictive Scales (DPS): efficiently screening for diagnoses. , 2001, Journal of the American Academy of Child and Adolescent Psychiatry.

[30]  Giuseppe Mancia,et al.  Point: cardiovascular variability is/is not an index of autonomic control of circulation. , 2006, Journal of applied physiology.

[31]  Alain Pitiot,et al.  Handedness, motor skills and maturation of the corticospinal tract in the adolescent brain , 2009, Human brain mapping.

[32]  T Paus,et al.  Orbitofrontal Cortex and Drug Use during Adolescence: Role of Prenatal Exposure to Maternal Smoking and BDNF Genotype. , 2009, NeuroImage.

[33]  M. Fornage,et al.  Contribution of common non-synonymous variants in PCSK1 to body mass index variation and risk of obesity: a systematic review and meta-analysis with evidence from up to 331 175 individuals. , 2015, Human molecular genetics.

[34]  Karel H Wesseling,et al.  Validation of brachial artery pressure reconstruction from finger arterial pressure , 2008, Journal of hypertension.

[35]  I M Buzzard,et al.  Monitoring dietary change in a low-fat diet intervention study: advantages of using 24-hour dietary recalls vs food records. , 1996, Journal of the American Dietetic Association.

[36]  Vincent Frouin,et al.  Early Cannabis Use, Polygenic Risk Score for Schizophrenia and Brain Maturation in Adolescence. , 2015, JAMA psychiatry.

[37]  Mary McMurran,et al.  The Psychometric Properties of the Internet Addiction Test , 2004, Cyberpsychology Behav. Soc. Netw..

[38]  Alain Pitiot,et al.  Genes, maternal smoking, and the offspring brain and body during adolescence: Design of the Saguenay Youth Study , 2007, Human brain mapping.

[39]  Nora D. Volkow,et al.  Reward, dopamine and the control of food intake: implications for obesity , 2011, Trends in Cognitive Sciences.

[40]  J. Taylor,et al.  Counterpoint: cardiovascular variability is not an index of autonomic control of the circulation. , 2006, Journal of applied physiology.

[41]  R. Ross,et al.  Visceral adipose tissue indicates the severity of cardiometabolic risk in patients with and without type 2 diabetes: results from the INSPIRE ME IAA study. , 2012, The Journal of clinical endocrinology and metabolism.

[42]  Daniel J Buysse,et al.  The Pittsburgh sleep quality index: A new instrument for psychiatric practice and research , 1989, Psychiatry Research.

[43]  Udo Hoffmann,et al.  Abdominal Visceral and Subcutaneous Adipose Tissue Compartments: Association With Metabolic Risk Factors in the Framingham Heart Study , 2007, Circulation.

[44]  Deborah H. Schwartz,et al.  Prenatal exposure to maternal cigarette smoking, amygdala volume, and fat intake in adolescence. , 2013, JAMA psychiatry.

[45]  H. Lesieur,et al.  The South Oaks Gambling Screen (SaGS): A New Instrument for the Identification of Pathological Gamblers , 2010 .

[46]  Nancy L Day,et al.  Developmental consequences of prenatal tobacco exposure , 2009, Current opinion in neurology.

[47]  C. Power,et al.  Maternal smoking in pregnancy, adult adiposity and other risk factors for cardiovascular disease. , 2010, Atherosclerosis.

[48]  Louis Richer,et al.  Maternal cigarette smoking during pregnancy predicts drug use via externalizing behavior in two community-based samples of adolescents. , 2014, Addiction.

[49]  Tomás Paus,et al.  Axon diameter and axonal transport: In vivo and in vitro effects of androgens , 2015, NeuroImage.

[50]  M. Grompe,et al.  A single mutation of the fumarylacetoacetate hydrolase gene in French Canadians with hereditary tyrosinemia type I. , 1994, The New England journal of medicine.

[51]  T. Paus,et al.  White matter as a transport system , 2014, Neuroscience.

[52]  Tom R. Gaunt,et al.  Prenatal Exposure to Maternal Cigarette Smoking and DNA Methylation: Epigenome-Wide Association in a Discovery Sample of Adolescents and Replication in an Independent Cohort at Birth through 17 Years of Age , 2014, Environmental health perspectives.

[53]  Berthold Koletzko,et al.  Maternal smoking during pregnancy and childhood obesity. , 2003, American journal of epidemiology.

[54]  M. Esler,et al.  Sympathetic Augmentation in Hypertension: Role of Nerve Firing, Norepinephrine Reuptake, and Angiotensin Neuromodulation , 2004, Hypertension.

[55]  H. F. Crovitz,et al.  A group-test for assessing hand- and eye-dominance. , 1962, The American journal of psychology.

[56]  Maristela Monteiro,et al.  AUDIT - The alcohol use disorders identification test: guidelines for use in primary care. , 2001 .

[57]  S. Kjeldsen,et al.  [Renal sympathetic denervation in treatment-resistant hypertension]. , 2014, Tidsskrift for den Norske laegeforening : tidsskrift for praktisk medicin, ny raekke.

[58]  Kenneth Lange,et al.  Use of population isolates for mapping complex traits , 2000, Nature Reviews Genetics.

[59]  T. Paus,et al.  Intra-abdominal adiposity and individual components of the metabolic syndrome in adolescence: sex differences and underlying mechanisms. , 2008, Archives of pediatrics & adolescent medicine.

[60]  T. Smith,et al.  The Self-Rating of the Effects of alcohol (SRE) form as a retrospective measure of the risk for alcoholism. , 1997, Addiction.

[61]  Nobhojit Roy,et al.  Global, regional, and national disability-adjusted life years (DALYs) for 306 diseases and injuries and healthy life expectancy (HALE) for 188 countries, 1990–2013: quantifying the epidemiological transition , 2015, The Lancet.

[62]  Adrian M. Owen,et al.  Fractionating Human Intelligence , 2012, Neuron.

[63]  Ross M. Fraser,et al.  Genetic studies of body mass index yield new insights for obesity biology , 2015, Nature.

[64]  A. Riecher-Rössler,et al.  Causes and consequences of the gender difference in age at onset of schizophrenia. , 1998, Schizophrenia bulletin.

[65]  Alain Pitiot,et al.  Growth of White Matter in the Adolescent Brain: Role of Testosterone and Androgen Receptor , 2008, The Journal of Neuroscience.

[66]  C. Power,et al.  Fetal environment and subsequent obesity: a study of maternal smoking. , 2002, International journal of epidemiology.

[67]  T. Paus,et al.  Routine Clinical Measures of Adiposity as Predictors of Visceral Fat in Adolescence: A Population-Based Magnetic Resonance Imaging Study , 2013, PloS one.

[68]  M. Johns,et al.  A new method for measuring daytime sleepiness: the Epworth sleepiness scale. , 1991, Sleep.

[69]  A. Malliani,et al.  Heart rate variability. Standards of measurement, physiological interpretation, and clinical use , 1996 .

[70]  T. Paus,et al.  Why do many psychiatric disorders emerge during adolescence? , 2008, Nature Reviews Neuroscience.

[71]  G. Breithardt,et al.  Heart rate variability: standards of measurement, physiological interpretation and clinical use. Task Force of the European Society of Cardiology and the North American Society of Pacing and Electrophysiology. , 1996 .

[72]  W. Kannel,et al.  Incidence and precursors of hypertension in young adults: the Framingham Offspring Study. , 1987, Preventive medicine.

[73]  R. Lerner,et al.  Positive Youth Development, Participation in Community Youth Development Programs, and Community Contributions of Fifth-Grade Adolescents , 2005 .

[74]  D. Kandel,et al.  Educational attainment and smoking among women: risk factors and consequences for offspring. , 2009, Drug and alcohol dependence.

[75]  G. Bruce Pike,et al.  Adiposity is associated with structural properties of the adolescent brain , 2014, NeuroImage.

[76]  C. Summerbell,et al.  Effects of total fat intake on body weight. , 2015, The Cochrane database of systematic reviews.

[77]  Marleen de Bruijne,et al.  A Genome-Wide Association Study Identifies Five Loci Influencing Facial Morphology in Europeans , 2012, PLoS genetics.

[78]  H. Krum,et al.  Renal sympathetic denervation in patients with treatment-resistant hypertension (The Symplicity HTN-2 Trial): a randomised controlled trial , 2010, The Lancet.

[79]  Vincent Frouin,et al.  FTO, obesity and the adolescent brain. , 2013, Human molecular genetics.

[80]  L. Kozlowski,et al.  The Fagerström Test for Nicotine Dependence: a revision of the Fagerström Tolerance Questionnaire. , 1991, British journal of addiction.

[81]  C. Greenwood,et al.  Opioid receptor mu 1 gene, fat intake and obesity in adolescence , 2014, Molecular Psychiatry.

[82]  Thomas E. Nichols,et al.  Common genetic variants influence human subcortical brain structures , 2015, Nature.

[83]  G. Parati,et al.  Comparison of Finger and Intra‐arterial Blood Pressure Monitoring at Rest and During Laboratory Testing , 1989, Hypertension.

[84]  Marisa O. Hollinshead,et al.  Identification of common variants associated with human hippocampal and intracranial volumes , 2012, Nature Genetics.

[85]  Alain Pitiot,et al.  Corpus callosum in adolescent offspring exposed prenatally to maternal cigarette smoking , 2008, NeuroImage.

[86]  M. de Braekeleer Hereditary disorders in Saguenay-Lac-St-Jean (Quebec, Canada). , 1991, Human heredity.

[87]  T. Paus,et al.  Sex Differences in the Contributions of Visceral and Total Body Fat to Blood Pressure in Adolescence , 2012, Hypertension.

[88]  A. Porta,et al.  Relationship between spectral components of cardiovascular variabilities and direct measures of muscle sympathetic nerve activity in humans. , 1997, Circulation.

[89]  M. Turiel,et al.  Power Spectral Analysis of Heart Rate and Arterial Pressure Variabilities as a Marker of Sympatho‐Vagal Interaction in Man and Conscious Dog , 1986, Circulation research.

[90]  James L. Burns,et al.  Unpacking the association: Individual differences in the relation of prenatal exposure to cigarettes and disruptive behavior phenotypes. , 2011, Neurotoxicology and teratology.

[91]  Sven Cnattingius,et al.  The epidemiology of smoking during pregnancy: smoking prevalence, maternal characteristics, and pregnancy outcomes. , 2004, Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco.

[92]  H. Krum,et al.  Renal sympathetic-nerve ablation for uncontrolled hypertension. , 2009, The New England journal of medicine.

[93]  T. Paus,et al.  Prenatal exposure to cigarette smoke interacts with OPRM1 to modulate dietary preference for fat. , 2015, Journal of psychiatry & neuroscience : JPN.

[94]  P. Costa,et al.  NEO inventories for the NEO Personality Inventory-3 (NEO-PI-3), NEO Five-Factor Inventory-3 (NEO-FFI-3), NEO Personality Inventory-Revised (NEO PI-R) : professional manual , 2010 .