ORCID Profile
0000-0002-9228-0462
Current Organisations
Imperial College London
,
University of Surrey
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Publisher: Public Library of Science (PLoS)
Date: 26-02-2010
Publisher: Springer Science and Business Media LLC
Date: 06-04-2010
DOI: 10.1038/NG.567
Publisher: Public Library of Science (PLoS)
Date: 11-2011
Publisher: Wiley
Date: 11-2013
DOI: 10.1002/GEPI.21760
Publisher: BMJ
Date: 10-2014
DOI: 10.1136/BMJOPEN-2014-006141
Abstract: To investigate whether associations of smoking with depression and anxiety are likely to be causal, using a Mendelian randomisation approach. Mendelian randomisation meta-analyses using a genetic variant (rs16969968/rs1051730) as a proxy for smoking heaviness, and observational meta-analyses of the associations of smoking status and smoking heaviness with depression, anxiety and psychological distress. Current, former and never smokers of European ancestry aged ≥16 years from 25 studies in the Consortium for Causal Analysis Research in Tobacco and Alcohol (CARTA). Binary definitions of depression, anxiety and psychological distress assessed by clinical interview, symptom scales or self-reported recall of clinician diagnosis. The analytic s le included up to 58 176 never smokers, 37 428 former smokers and 32 028 current smokers (total N=127 632). In observational analyses, current smokers had 1.85 times greater odds of depression (95% CI 1.65 to 2.07), 1.71 times greater odds of anxiety (95% CI 1.54 to 1.90) and 1.69 times greater odds of psychological distress (95% CI 1.56 to 1.83) than never smokers. Former smokers also had greater odds of depression, anxiety and psychological distress than never smokers. There was evidence for positive associations of smoking heaviness with depression, anxiety and psychological distress (ORs per cigarette per day: 1.03 (95% CI 1.02 to 1.04), 1.03 (95% CI 1.02 to 1.04) and 1.02 (95% CI 1.02 to 1.03) respectively). In Mendelian randomisation analyses, there was no strong evidence that the minor allele of rs16969968/rs1051730 was associated with depression (OR=1.00, 95% CI 0.95 to 1.05), anxiety (OR=1.02, 95% CI 0.97 to 1.07) or psychological distress (OR=1.02, 95% CI 0.98 to 1.06) in current smokers. Results were similar for former smokers. Findings from Mendelian randomisation analyses do not support a causal role of smoking heaviness in the development of depression and anxiety.
Publisher: Oxford University Press (OUP)
Date: 02-2012
DOI: 10.1534/GENETICS.111.135657
Abstract: Systematic nonrandom mating in populations results in genetic stratification and is predominantly caused by geographic separation, providing the opportunity to infer in iduals’ birthplace from genetic data. Such inference has been demonstrated for in iduals’ country of birth, but here we use data from the Northern Finland Birth Cohort 1966 (NFBC1966) to investigate the characteristics of genetic structure within a population and subsequently develop a method for inferring location to a finer scale. Principal component analysis (PCA) shows that while the first PCs are particularly informative for location, there is also location information in the higher-order PCs, but it cannot be captured by a linear model. We introduce a new method, pcLOCATE, which is able to exploit this information to improve the accuracy of location inference. pcLOCATE uses in iduals’ PC values to estimate the probability of birth in each town and then averages over all towns to give an estimated longitude and latitude of birth using a fully Bayesian model. We apply pcLOCATE to the NFBC1966 data to estimate parental birthplace, testing with successively more PCs and finding the model with the top 23 PCs most accurate, with a median distance of 23 km between the estimated and the true location. pcLOCATE predicts the most recent residence of NFBC1966 in iduals to a median distance of 47 km. We also apply pcLOCATE to Indian in iduals from the London Life Sciences Prospective Population Study (LOLIPOP) data, and find that birthplace is predicated to a median distance of 54 km from the true location. A method with such accuracy is potentially valuable in population genetics and forensics.
Publisher: Public Library of Science (PLoS)
Date: 19-07-2012
Publisher: Public Library of Science (PLoS)
Date: 06-03-2009
Publisher: Springer Science and Business Media LLC
Date: 07-12-2008
DOI: 10.1038/NG.290
Publisher: American Medical Association (AMA)
Date: 08-2012
Publisher: American Association for the Advancement of Science (AAAS)
Date: 21-06-2013
Abstract: Many genomic elements in humans are associated with behavior, including educational attainment. In a genome-wide association study including more than 100,000 s les, Rietveld et al. (p. 1467 , published online 30 May see the Perspective by Flint and Munafò ) looked for genes related to educational attainment in Caucasians. Small genetic effects at three loci appeared to impact educational attainment.
Publisher: Oxford University Press (OUP)
Date: 05-09-2012
DOI: 10.1093/HMG/DDS372
Publisher: Springer Science and Business Media LLC
Date: 07-12-2008
DOI: 10.1038/NG.271
Publisher: Public Library of Science (PLoS)
Date: 17-02-2011
Publisher: Public Library of Science (PLoS)
Date: 10-07-2014
Publisher: S. KARGER AG
Date: 2014
DOI: 10.1159/000356352
Publisher: Oxford University Press (OUP)
Date: 27-02-2013
DOI: 10.1093/HMG/DDT104
Publisher: American Association for the Advancement of Science (AAAS)
Date: 06-09-2019
Abstract: Longitudinal data find a new variant controlling BMI in infancy and reveal genetic differences between infant and adult BMI.
Publisher: Springer Science and Business Media LLC
Date: 02-12-2012
DOI: 10.1038/NG.2477
Publisher: Springer Science and Business Media LLC
Date: 06-10-2013
DOI: 10.1038/NG.2795
Publisher: Springer Science and Business Media LLC
Date: 07-10-2014
DOI: 10.1038/MP.2014.107
Publisher: Elsevier BV
Date: 04-2011
Publisher: Springer Science and Business Media LLC
Date: 06-10-2013
DOI: 10.1038/NG.2797
Location: United Kingdom of Great Britain and Northern Ireland
Location: United Kingdom of Great Britain and Northern Ireland
No related grants have been discovered for Marika Kaakinen.