| 1. |
- Magnusson, Patrik K. E., et al.
(författare)
-
The Swedish Twin Registry : establishment of a biobank and other recent developments
- 2013
-
Ingår i: Twin Research and Human Genetics. - Cambridge, United Kingdom : Cambridge University Press. - 1832-4274 .- 1839-2628. ; 16:1, s. 317-329
-
Tidskriftsartikel (refereegranskat)abstract
- The Swedish Twin Registry (STR) today contains more than 194,000 twins and more than 75,000 pairs have zygosity determined by an intra-pair similarity algorithm, DNA, or by being of opposite sex. Of these, approximately 20,000, 25,000, and 30,000 pairs are monozygotic, same-sex dizygotic, and opposite-sex dizygotic pairs, respectively. Since its establishment in the late 1950s, the STR has been an important epidemiological resource for the study of genetic and environmental influences on a multitude of traits, behaviors, and diseases. Following large investments in the collection of biological specimens in the past 10 years we have now established a Swedish twin biobank with DNA from 45,000 twins and blood serum from 15,000 twins, which effectively has also transformed the registry into a powerful resource for molecular studies. We here describe the main projects within which the new collections of both biological samples as well as phenotypic measures have been collected. Coverage by year of birth, zygosity determination, ethnic heterogeneity, and influences of in vitro fertilization are also described.
|
|
| 2. |
- Rahman, Iffat, et al.
(författare)
-
Clinical depression, antidepressant use and risk of future cardiovascular disease
- 2013
-
Ingår i: European Journal of Epidemiology. - : Springer Science and Business Media LLC. - 0393-2990 .- 1573-7284. ; 28:7, s. 589-595
-
Tidskriftsartikel (refereegranskat)abstract
- Many studies have shown that depression contributes to a higher risk of developing cardiovascular disease (CVD). Use of antidepressants and its association with CVD development has also been investigated previously but the results have been conflicting. Further, depression and use of antidepressants have been more widely studied in relation to coronary heart disease rather than stroke. A population-based cohort study consisting of 36,654 Swedish elderly twins was conducted with a follow-up of maximum 4 years. Information on exposures, outcomes and covariates were collected from the Swedish national patient registers, the Swedish prescribed drug registry and the Swedish twin registry. Depression and antidepressant use were both associated with CVD development. The risk was most pronounced among depressed patients who did not use antidepressants (HR 1. 48, CI 1.10-2.00). When assessing the two main CVD outcomes coronary heart disease and ischemic stroke separately, the predominant association was found for ischemic stroke while it was absent for coronary heart disease. The association between depression and stroke also remained significant when restricting to depression diagnoses occurring at least 10 years before baseline. The study supports that depression is a possible risk factor for development of CVD. Moreover, the hazard rate for CVD outcomes was highest among depressed patients who had not used antidepressants. The association with clinical depression is more marked in relation to stroke and disappears in relation to development of coronary heart disease.
|
|
| 3. |
- Berndt, Sonja I., et al.
(författare)
-
Genome-wide meta-analysis identifies 11 new loci for anthropometric traits and provides insights into genetic architecture
- 2013
-
Ingår i: Nature Genetics. - : Springer Science and Business Media LLC. - 1061-4036 .- 1546-1718. ; 45:5, s. 501-U69
-
Tidskriftsartikel (refereegranskat)abstract
- Approaches exploiting trait distribution extremes may be used to identify loci associated with common traits, but it is unknown whether these loci are generalizable to the broader population. In a genome-wide search for loci associated with the upper versus the lower 5th percentiles of body mass index, height and waist-to-hip ratio, as well as clinical classes of obesity, including up to 263,407 individuals of European ancestry, we identified 4 new loci (IGFBP4, H6PD, RSRC1 and PPP2R2A) influencing height detected in the distribution tails and 7 new loci (HNF4G, RPTOR, GNAT2, MRPS33P4, ADCY9, HS6ST3 and ZZZ3) for clinical classes of obesity. Further, we find a large overlap in genetic structure and the distribution of variants between traits based on extremes and the general population and little etiological heterogeneity between obesity subgroups.
|
|
| 4. |
- Bonamy, Anna-Karin Edstedt, et al.
(författare)
-
Birth characteristics and subsequent risks of maternal cardiovascular disease : effects of gestational age and fetal growth
- 2011
-
Ingår i: Circulation. - 0009-7322 .- 1524-4539. ; 124:25, s. 2839-2846
-
Tidskriftsartikel (refereegranskat)abstract
- BACKGROUND: Prior studies showing an inverse relationship between low birth weight in offspring and maternal risks of cardiovascular diseases (CVD) are limited by lack of information on gestational age and/or insufficient adjustment for confounders.METHODS AND RESULTS: In a nationwide Swedish study, we included information on 923 686 women and their first singleton births between 1983 and 2005. Cox proportional hazards models were used to study associations between gestational length, fetal growth, and maternal incident hospitalization or death from CVD (coronary heart disease, cerebrovascular events, and heart failure). Multivariable adjusted models accounted for birth year, income, education, country of birth, smoking, diabetes mellitus, hypertension, and preeclampsia. The risk of maternal CVD increased with decreasing gestational age whereas the risk increase related to fetal growth appeared to be restricted to very small-for-gestational-age (SGA) infants. Compared with mothers of non-SGA infants born at term, the hazard ratio of CVD ranged from 1.39 (95% confidence interval 1.22-1.58) to 2.57 (95% confidence interval 1.97-3.34) among mothers to moderately and very preterm infants, respectively. There was a significant interaction between preterm birth and fetal growth with respect to mothers' risk of CVD (P<0.001). Among mothers to very SGA infants, the hazard ratio of CVD ranged from 1.38 (95% confidence interval 1.15-1.65) to 3.40 (95% confidence interval 2.26-5.11) in mothers to term and very preterm infants, respectively.CONCLUSIONS: Delivery of a preterm or SGA infant is associated with later life maternal hospitalization or death from CVD even after accounting for socioeconomic factors, smoking, and pregnancy-related complications.
|
|
| 5. |
- Broeckling, Corey D., et al.
(författare)
-
Assigning precursor-product ion relationships in indiscriminant MS/MS data from non-targeted metabolite profiling studies
- 2013
-
Ingår i: Metabolomics. - : Springer Science and Business Media LLC. - 1573-3882 .- 1573-3890. ; 9:1, s. 33-43
-
Tidskriftsartikel (refereegranskat)abstract
- Tandem mass spectrometry using precursor ion selection (MS/MS) is an invaluable tool for structural elucidation of small molecules. In non-targeted metabolite profiling studies, instrument duty cycle limitations and experimental costs have driven efforts towards alternate approaches. Recently, researchers have begun to explore methods for collecting indiscriminant MS/MS (idMS/MS) data in which the fragmentation process does not involve precursor ion isolation. While this approach has many advantages, importantly speed, sensitivity and coverage, confident assignment of precursor-product ion relationships is challenging, which has inhibited broad adoption of the technique. Here, we present an approach that uses open source software to improve the assignment of precursor-product relationships in idMS/MS data by appending a dataset-wide correlational analysis to existing tools. The utility of the approach was demonstrated using a dataset of standard compounds spiked into a malt-barley background, as well as unspiked human serum. The workflow was able to recreate idMS/MS spectra which are highly similar to standard MS/MS spectra of authentic standards, even in the presence of a complex matrix background. The application of this approach has the potential to generate high quality idMS/MS spectra for each detectable molecular feature, which will streamline the identification process for non-targeted metabolite profiling studies.
|
|
| 6. |
|
|
| 7. |
- Elks, Cathy E, et al.
(författare)
-
Thirty new loci for age at menarche identified by a meta-analysis of genome-wide association studies
- 2010
-
Ingår i: Nature Genetics. - : Springer Science and Business Media LLC. - 1061-4036 .- 1546-1718. ; 42:12, s. 1077-85
-
Tidskriftsartikel (refereegranskat)abstract
- To identify loci for age at menarche, we performed a meta-analysis of 32 genome-wide association studies in 87,802 women of European descent, with replication in up to 14,731 women. In addition to the known loci at LIN28B (P = 5.4 × 10⁻⁶⁰) and 9q31.2 (P = 2.2 × 10⁻³³), we identified 30 new menarche loci (all P < 5 × 10⁻⁸) and found suggestive evidence for a further 10 loci (P < 1.9 × 10⁻⁶). The new loci included four previously associated with body mass index (in or near FTO, SEC16B, TRA2B and TMEM18), three in or near other genes implicated in energy homeostasis (BSX, CRTC1 and MCHR2) and three in or near genes implicated in hormonal regulation (INHBA, PCSK2 and RXRG). Ingenuity and gene-set enrichment pathway analyses identified coenzyme A and fatty acid biosynthesis as biological processes related to menarche timing.
|
|
| 8. |
- Ganna, Andrea, 1985-, et al.
(författare)
-
Genetic determinants of mortality : Can findings from genome-wide association studies explain variation in human mortality?
- 2013
-
Ingår i: Human Genetics. - : Springer Science and Business Media LLC. - 0340-6717 .- 1432-1203. ; 132:5, s. 553-561
-
Tidskriftsartikel (refereegranskat)abstract
- Twin studies have estimated the heritability of longevity to be approximately 20-30 %. Genome-wide association studies (GWAS) have revealed a large number of determinants of morbidity, but so far, no new polymorphisms have been discovered to be associated with longevity per se in GWAS. We aim to determine whether the genetic architecture of mortality can be explained by single nucleotide polymorphisms (SNPs) associated with common traits and diseases related to mortality. By extensive quality control of published GWAS we created a genetic score from 707 common SNPs associated with 125 diseases or risk factors related with overall mortality. We prospectively studied the association of the genetic score with: (1) time-to-death; (2) incidence of the first of nine major diseases (coronary heart disease, stroke, heart failure, diabetes, dementia, lung, breast, colon and prostate cancers) in two population-based cohorts of Dutch and Swedish individuals (N = 15,039; age range 47-99 years). During a median follow-up of 6.3 years (max 22.2 years), we observed 4,318 deaths and 2,132 incident disease events. The genetic score was significantly associated with time-to-death [hazard ratio (HR) per added risk allele = 1.003, P value = 0.006; HR 4th vs. 1st quartile = 1.103]. The association between the genetic score and incidence of major diseases was stronger (HR per added risk allele = 1.004, P value = 0.002; HR 4th vs. 1st quartile = 1.160). Associations were stronger for individuals dying at older ages. Our findings are compatible with the view of mortality as a complex and highly polygenetic trait, not easily explainable by common genetic variants related to diseases and physiological traits.
|
|
| 9. |
- Ganna, Andrea, 1985-, et al.
(författare)
-
Risk prediction measures for case-cohort and nested case-control designs : an application to cardiovascular disease.
- 2012
-
Ingår i: American Journal of Epidemiology. - : Oxford University Press (OUP). - 0002-9262 .- 1476-6256. ; 175:7, s. 715-724
-
Tidskriftsartikel (refereegranskat)abstract
- Case-cohort and nested case-control designs are often used to select an appropriate subsample of individuals from prospective cohort studies. Despite the great attention that has been given to the calculation of association estimators, no formal methods have been described for estimating risk prediction measures from these 2 sampling designs. Using real data from the Swedish Twin Registry (2004-2009), the authors sampled unstratified and stratified (matched) case-cohort and nested case-control subsamples and compared them with the full cohort (as "gold standard"). The real biomarker (high density lipoprotein cholesterol) and simulated biomarkers (BIO1 and BIO2) were studied in terms of association with cardiovascular disease, individual risk of cardiovascular disease at 3 years, and main prediction metrics. Overall, stratification improved efficiency, with stratified case-cohort designs being comparable to matched nested case-control designs. Individual risks and prediction measures calculated by using case-cohort and nested case-control designs after appropriate reweighting could be assessed with good efficiency, except for the finely matched nested case-control design, where matching variables could not be included in the individual risk estimation. In conclusion, the authors have shown that case-cohort and nested case-control designs can be used in settings where the research aim is to evaluate the prediction ability of new markers and that matching strategies for nested case-control designs may lead to biased prediction measures.
|
|
| 10. |
- Hong, Mun-Gwan, et al.
(författare)
-
A genome-wide assessment of variability in human serum metabolism
- 2013
-
Ingår i: Human Mutation. - : Hindawi Limited. - 1059-7794 .- 1098-1004. ; 34:3, s. 515-524
-
Tidskriftsartikel (refereegranskat)abstract
- The study of the genetic regulation of metabolism in human serum samples can contribute to a better understanding of the intermediate biological steps that lead from polymorphism to disease. Here, we conducted a genome-wide association study (GWAS) to discover metabolic quantitative trait loci (mQTLs) utilizing samples from a study of prostate cancer in Swedish men, consisting of 402 individuals (214 cases and 188 controls) in a discovery set and 489 case-only samples in a replication set. A global nontargeted metabolite profiling approach was utilized resulting in the detection of 6,138 molecular features followed by targeted identification of associated metabolites. Seven replicating loci were identified (PYROXD2, FADS1, PON1, CYP4F2, UGT1A8, ACADL, and LIPC) with associated sequence variants contributing significantly to trait variance for one or more metabolites (P = 10(-13) -10(-91)). Regional mQTL enrichment analyses implicated two loci that included FADS1 and a novel locus near PDGFC. Biological pathway analysis implicated ACADM, ACADS, ACAD8, ACAD10, ACAD11, and ACOXL, reflecting significant enrichment of genes with acyl-CoA dehydrogenase activity. mQTL SNPs and mQTL-harboring genes were over-represented across GWASs conducted to date, suggesting that these data may have utility in tracing the molecular basis of some complex disease associations.
|
|
