B2579 - MR-Base an online resource for Mendelian randomization using summary data - 04/12/2015
B number:
B2579
Principal applicant name:
Kaitlin Wade | Integrative Cancer Epidemiology Programme at the University of Bristol (United Kingdom)
Co-applicants:
Philip Haycock, Gibran Hemani, Tom Gaunt, Neil Davies, Jie Zheng, Charles Laurin, Paul Brennan, Robbert Carreras-Torres, Mattias Johansson, David Evans
Title of project:
MR-Base: an online resource for Mendelian randomization using summary data
Proposal summary:
We will implement genome-wide association analyses of every disease and biomarker in ALSPAC (where sample sizes allow). The summary associations from these analyses, e.g. log odds ratios and standard errors, will be harmonized with summary association data from other genome wide association studies and deposited into the MR-base online tool (www.mrbase.org). External researchers will be able to implement Mendelian randomization
analyses of their exposures of interest against all diseases and biomarkers curated by MR-base.
Date proposal received:
Wednesday, 25 November, 2015
Date proposal approved:
Thursday, 26 November, 2015
Keywords:
Genetics, All diseases and conditions, Computer simulations/modelling/algorithms, Genomics - structural variants, GWAS, Metabolomics, Statistical methods, Mendelian randomization, Ageing, Biomarkers - e.g. cotinine, fatty acids, haemoglobin, etc., Communication (including non-verbal), Contraception, Dermatology, Development, Endocrine - endocrine disrupters, ENT - hearing, Dental, Environment - enviromental exposure, pollution, Genetics - e.g. epigenetics, mendelian randomisation, UK10K, sequencing, etc., Face - face shape, Birth outcomes, Fingerprints, Handedness, Growth, Hormones - cortisol, IGF, thyroid, Immunity, Injury (including accidents), Intelligence - memory, Kidney function, Liver function, Mothers - maternal age, menopause, obstetrics, Blood pressure, Metabolic - metabolism, Methods - e.g. cross cohort analysis, data mining, mendelian randomisation, etc., Neurology, Nutrition - breast feeding, diet, Offspring, Parenting, Psychology - personality, Physical - activity, fitness, function, Puberty, Sex differences, BMI, Sleep, Speech and language, Statistical methods, Telomere, Vision, Bones (and joints), Breast feeding, Cardiovascular, Childhood - childcare, childhood adversity, Cognition - cognitive function, MR-Base will enable researchers to look at all phenotypes of interest and will therefore cover many keywords.