1. |
- Sliz, E., et al.
(author)
-
Evidence of a causal effect of genetic tendency to gain muscle mass on uterine leiomyomata
- 2023
-
In: Nature Communications. - : Springer Science and Business Media LLC. - 2041-1723. ; 14:1
-
Journal article (peer-reviewed)abstract
- Uterine leiomyomata (UL) are the most common tumours of the female genital tract and the primary cause of surgical removal of the uterus. Genetic factors contribute to UL susceptibility. To add understanding to the heritable genetic risk factors, we conduct a genome-wide association study (GWAS) of UL in up to 426,558 European women from FinnGen and a previous UL meta-GWAS. In addition to the 50 known UL loci, we identify 22 loci that have not been associated with UL in prior studies. UL-associated loci harbour genes enriched for development, growth, and cellular senescence. Of particular interest are the smooth muscle cell differentiation and proliferation-regulating genes functioning on the myocardin-cyclin dependent kinase inhibitor 1A pathway. Our results further suggest that genetic predisposition to increased fat-free mass may be causally related to higher UL risk, underscoring the involvement of altered muscle tissue biology in UL pathophysiology. Overall, our findings add to the understanding of the genetic pathways underlying UL, which may aid in developing novel therapeutics.
|
|
2. |
- Tabassum, R, et al.
(author)
-
Genetic architecture of human plasma lipidome and its link to cardiovascular disease
- 2019
-
In: Nature communications. - : Springer Science and Business Media LLC. - 2041-1723. ; 10:1, s. 4329-
-
Journal article (peer-reviewed)abstract
- Understanding genetic architecture of plasma lipidome could provide better insights into lipid metabolism and its link to cardiovascular diseases (CVDs). Here, we perform genome-wide association analyses of 141 lipid species (n = 2,181 individuals), followed by phenome-wide scans with 25 CVD related phenotypes (n = 511,700 individuals). We identify 35 lipid-species-associated loci (P <5 ×10−8), 10 of which associate with CVD risk including five new loci-COL5A1, GLTPD2, SPTLC3, MBOAT7 and GALNT16 (false discovery rate<0.05). We identify loci for lipid species that are shown to predict CVD e.g., SPTLC3 for CER(d18:1/24:1). We show that lipoprotein lipase (LPL) may more efficiently hydrolyze medium length triacylglycerides (TAGs) than others. Polyunsaturated lipids have highest heritability and genetic correlations, suggesting considerable genetic regulation at fatty acids levels. We find low genetic correlations between traditional lipids and lipid species. Our results show that lipidomic profiles capture information beyond traditional lipids and identify genetic variants modifying lipid levels and risk of CVD.
|
|
3. |
- Buchanan, E. M., et al.
(author)
-
The Psychological Science Accelerator's COVID-19 rapid-response dataset
- 2023
-
In: Scientific Data. - : Springer Science and Business Media LLC. - 2052-4463. ; 10:1
-
Journal article (peer-reviewed)abstract
- In response to the COVID-19 pandemic, the Psychological Science Accelerator coordinated three large-scale psychological studies to examine the effects of loss-gain framing, cognitive reappraisals, and autonomy framing manipulations on behavioral intentions and affective measures. The data collected (April to October 2020) included specific measures for each experimental study, a general questionnaire examining health prevention behaviors and COVID-19 experience, geographical and cultural context characterization, and demographic information for each participant. Each participant started the study with the same general questions and then was randomized to complete either one longer experiment or two shorter experiments. Data were provided by 73,223 participants with varying completion rates. Participants completed the survey from 111 geopolitical regions in 44 unique languages/dialects. The anonymized dataset described here is provided in both raw and processed formats to facilitate re-use and further analyses. The dataset offers secondary analytic opportunities to explore coping, framing, and self-determination across a diverse, global sample obtained at the onset of the COVID-19 pandemic, which can be merged with other time-sampled or geographic data.
|
|
4. |
|
|
5. |
- Kurki, MI, et al.
(author)
-
FinnGen provides genetic insights from a well-phenotyped isolated population
- 2023
-
In: Nature. - : Springer Science and Business Media LLC. - 1476-4687 .- 0028-0836. ; 613:7944, s. 508-
-
Journal article (peer-reviewed)abstract
- Population isolates such as those in Finland benefit genetic research because deleterious alleles are often concentrated on a small number of low-frequency variants (0.1% ≤ minor allele frequency < 5%). These variants survived the founding bottleneck rather than being distributed over a large number of ultrarare variants. Although this effect is well established in Mendelian genetics, its value in common disease genetics is less explored1,2. FinnGen aims to study the genome and national health register data of 500,000 Finnish individuals. Given the relatively high median age of participants (63 years) and the substantial fraction of hospital-based recruitment, FinnGen is enriched for disease end points. Here we analyse data from 224,737 participants from FinnGen and study 15 diseases that have previously been investigated in large genome-wide association studies (GWASs). We also include meta-analyses of biobank data from Estonia and the United Kingdom. We identified 30 new associations, primarily low-frequency variants, enriched in the Finnish population. A GWAS of 1,932 diseases also identified 2,733 genome-wide significant associations (893 phenome-wide significant (PWS), P < 2.6 × 10–11) at 2,496 (771 PWS) independent loci with 807 (247 PWS) end points. Among these, fine-mapping implicated 148 (73 PWS) coding variants associated with 83 (42 PWS) end points. Moreover, 91 (47 PWS) had an allele frequency of <5% in non-Finnish European individuals, of which 62 (32 PWS) were enriched by more than twofold in Finland. These findings demonstrate the power of bottlenecked populations to find entry points into the biology of common diseases through low-frequency, high impact variants.
|
|
6. |
|
|
7. |
|
|
8. |
|
|
9. |
- Steinthorsdottir, V, et al.
(author)
-
Genetic predisposition to hypertension is associated with preeclampsia in European and Central Asian women
- 2020
-
In: Nature communications. - : Springer Science and Business Media LLC. - 2041-1723. ; 11:1, s. 5976-
-
Journal article (peer-reviewed)abstract
- Preeclampsia is a serious complication of pregnancy, affecting both maternal and fetal health. In genome-wide association meta-analysis of European and Central Asian mothers, we identify sequence variants that associate with preeclampsia in the maternal genome at ZNF831/20q13 and FTO/16q12. These are previously established variants for blood pressure (BP) and the FTO variant has also been associated with body mass index (BMI). Further analysis of BP variants establishes that variants at MECOM/3q26, FGF5/4q21 and SH2B3/12q24 also associate with preeclampsia through the maternal genome. We further show that a polygenic risk score for hypertension associates with preeclampsia. However, comparison with gestational hypertension indicates that additional factors modify the risk of preeclampsia.
|
|
10. |
- Auro, K., et al.
(author)
-
USF1 gene variants contribute to metabolic traits in men in a longitudinal 32-year follow-up study
- 2008
-
In: Diabetologia. - : Springer Science and Business Media LLC. - 0012-186X .- 1432-0428. ; 51:3, s. 464-472
-
Journal article (peer-reviewed)abstract
- AIMS/HYPOTHESIS: Genetic variants of upstream transcription factor 1 (USF1) have previously been associated with dyslipidaemias in family studies. Our aim was to further address the role of USF1 in metabolic syndrome and cardiovascular traits at the population level in a large Swedish male cohort (n=2,322) with multiple measurements for risk factors during 32 years of follow-up. METHODS: Participants, born in 1920-1924, were examined at 50, 60, 70 and 77 years of age. The follow-up period for cardiovascular events was 1970-2002. We genotyped three haplotype tagging polymorphisms capturing the major allelic variants of USF1. RESULTS: SNP rs2774279 was associated with the metabolic syndrome. The minor allele of rs2774279 was less common among individuals with metabolic syndrome than among healthy controls [p=0.0029 when metabolic syndrome was defined according to the National Cholesterol Education Program Adult Treatment Panel III; p=0.0073 when defined according to the International Diabetes Federation (IDF)]. The minor allele of rs2774279 was also associated with lower BMI, lower fasting glucose values and higher HDL-cholesterol concentrations in longitudinal analyses. With SNP rs2073658, a borderline association with metabolic syndrome was observed (p=0.036, IDF), the minor allele being the risk-increasing allele. The minor allele of rs2073658 also associated with higher total and LDL-cholesterol, apolipoprotein B-100 and lipoprotein(a) concentrations in longitudinal analyses. Importantly, these trends with respect to the allelic variants prevailed throughout the follow-up time of three decades. CONCLUSIONS/INTERPRETATION: Our results suggest that USF1 variants associate with the metabolic syndrome at population level and influence the cardiovascular risk factors throughout adulthood in a consistent, longitudinal manner.
|
|