School of Social & Community Medicine, University of Bristol
0117 331 4073 meta-dac@bristol.ac.uk

Understanding Society: METADAC project approvals

METADAC date;

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Final approval

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Project Title Project summary Project Keywords
01 Dec 2015 BARROSO, Dr Inês FPLD1 and Severe Insulin Resistance GWAS Familial Partial Lipodystrophy Type 1 (FPLD1) is a rare disorder of fat distribution with an extreme phenotype, associated with severe resistance to the glucose lowering effects of insulin. This study aims to investigate whether individuals with this disorder carry an excess of markers for known measures of “metabolic syndrome” risk (insulin and lipid measurements, blood pressure, BMI, waist-hip ratio) when compared to unaffected control participants from UKHLS. It also aims to discover whether these individuals carry any new markers that might contribute to FPLD1 disease risk, again, in comparison with unaffected control UKHLS participants. Familial Partial Lipodystrophy, Severe Insulin Resistance, GWAS, genetic risk score
17 Dec 2015 Wellcome Trust Sanger Institute
17 Dec 2015 Eleanor WHEELER & Allan DALY
  Human Genetics Working Group, Wellcome Trust Sanger Institute Core funding
   
07 Jun 2016 Dr Kristin NICODEMUS Genomics of social support, personality and cognition and their relation to mental health and cognitive ageing Genes play an important role in shaping the social behaviour and cognition/cognitive ageing as they modulate the brain activity through molecular pathways; therefore, it can be said that genes regulate the expression of behaviour. Social support and cognition are correlated with an individual’s mental health as these social interactions require effective communication and participation. We would like to use information from the 1985 birth cohort to: (1) assess the impact and associations between social behaviour (social support) and cognition in individuals with and without symptoms of depression and anxiety, (2) perform a genetic analysis of social support and cognition within the same population by studying changes in the DNA of individuals, and (3) harmonise these data with data from different cohorts Social support, social dysfunction, personality, cognition, GWAS, mental health, cognitive ageing
17 Jun 2016 University of Edinburgh
17 Jun 2016 Elvina GOUNTOUNA, Thalia Perez SUAREZ, Kathy EVANS, Rosie WALKER, Lara Neira GONZALEZ, Daniel McCARTNEY
  No outside funding