| 1. |
- Fresard, Laure, et al.
(författare)
-
Identification of rare-disease genes using blood transcriptome sequencing and large control cohorts
- 2019
-
Ingår i: Nature Medicine. - : NATURE PUBLISHING GROUP. - 1078-8956 .- 1546-170X. ; 25:6, s. 911-919
-
Tidskriftsartikel (refereegranskat)abstract
- It is estimated that 350 million individuals worldwide suffer from rare diseases, which are predominantly caused by mutation in a single gene(1). The current molecular diagnostic rate is estimated at 50%, with whole-exome sequencing (WES) among the most successful approaches(2-5). For patients in whom WES is uninformative, RNA sequencing (RNA-seq) has shown diagnostic utility in specific tissues and diseases(6-8). This includes muscle biopsies from patients with undiagnosed rare muscle disorders(6,9), and cultured fibroblasts from patients with mitochondrial disorders(7). However, for many individuals, biopsies are not performed for clinical care, and tissues are difficult to access. We sought to assess the utility of RNA-seq from blood as a diagnostic tool for rare diseases of different pathophysiologies. We generated whole-blood RNA-seq from 94 individuals with undiagnosed rare diseases spanning 16 diverse disease categories. We developed a robust approach to compare data from these individuals with large sets of RNA-seq data for controls (n = 1,594 unrelated controls and n = 49 family members) and demonstrated the impacts of expression, splicing, gene and variant filtering strategies on disease gene identification. Across our cohort, we observed that RNA-seq yields a 7.5% diagnostic rate, and an additional 16.7% with improved candidate gene resolution.
|
|
| 2. |
- Weinstein, John N., et al.
(författare)
-
The cancer genome atlas pan-cancer analysis project
- 2013
-
Ingår i: Nature Genetics. - : Springer Science and Business Media LLC. - 1061-4036 .- 1546-1718. ; 45:10, s. 1113-1120
-
Forskningsöversikt (refereegranskat)abstract
- The Cancer Genome Atlas (TCGA) Research Network has profiled and analyzed large numbers of human tumors to discover molecular aberrations at the DNA, RNA, protein and epigenetic levels. The resulting rich data provide a major opportunity to develop an integrated picture of commonalities, differences and emergent themes across tumor lineages. The Pan-Cancer initiative compares the first 12 tumor types profiled by TCGA. Analysis of the molecular aberrations and their functional roles across tumor types will teach us how to extend therapies effective in one cancer type to others with a similar genomic profile. © 2013 Nature America, Inc. All rights reserved.
|
|
| 3. |
|
|
| 4. |
- Heimburg, Katarina, et al.
(författare)
-
Agreement between self-reported and objectively assessed physical activity among out-of-hospital cardiac arrest survivors.
- 2023
-
Ingår i: Clinical Physiology and Functional Imaging. - 1475-0961 .- 1475-097X.
-
Tidskriftsartikel (refereegranskat)abstract
- BACKGROUND: Low level of physical activity is a risk factor for new cardiac events in out-of-hospital cardiac arrest (OHCA) survivors. Physical activity can be assessed by self-reporting or objectively by accelerometery.AIM: To investigate the agreement between self-reported and objectively assessed physical activity among OHCA survivors HYPOTHESIS: Self-reported levels of physical activity will show moderate agreement with objectively assessed levels of physical activity.METHOD: Cross-sectional study including OHCA survivors in Sweden, Denmark, and the United Kingdom. Two questions about moderate and vigorous intensity physical activity during the last week were used as self-reports. Moderate and vigorous intensity physical activity were objectively assessed with accelerometers (ActiGraph GT3X-BT) worn upon the right hip for 7 consecutive days.RESULTS: Forty-nine of 106 OHCA survivors answered the two questions for self-reporting and had 7 valid days of accelerometer assessment. More physically active days were registered by self-report compared with accelerometery for both moderate intensity (median 5 [3:7] vs. 3 [0:5] days; p < 0.001) and vigorous intensity (1 [0:3] vs. 0 [0:0] days; p < 0.001). Correlations between self-reported and accelerometer assessed physical activity were sufficient (moderate intensity: rs = 0.336, p = 0.018; vigorous intensity: rs = 0.375, p = 0.008), and agreements were fair and none to slight (moderate intensity: k = 0.269, p = 0.001; vigorous intensity: k = 0.148, p = 0.015). The categorization of self-reported versus objectively assessed physical activity showed that 26% versus 65% had a low level of physical activity.CONCLUSION: OHCA survivors reported more physically active days compared with the results of the accelerometer assessment and correlated sufficiently and agreed fairly and none to slightly.
|
|
| 5. |
|
|
| 6. |
- Machiela, Mitchell J., et al.
(författare)
-
Characterization of Large Structural Genetic Mosaicism in Human Autosomes
- 2015
-
Ingår i: American Journal of Human Genetics. - : Elsevier BV. - 0002-9297 .- 1537-6605. ; 96:3, s. 487-497
-
Tidskriftsartikel (refereegranskat)abstract
- Analyses of genome-wide association study (GWAS) data have revealed that detectable genetic mosaicism involving large (>2 Mb) structural autosomal alterations occurs in a fraction of individuals. We present results for a set of 24,849 genotyped individuals (total GWAS set II [TGSII]) in whom 341 large autosomal abnormalities were observed in 168 (0.68%) individuals. Merging data from the new TGSII set with data from two prior reports (the Gene-Environment Association Studies and the total GWAS set I) generated a large dataset of 127,179 individuals; we then conducted a meta-analysis to investigate the patterns of detectable autosomal mosaicism (n = 1,315 events in 925 [0.73%] individuals). Restricting to events >2 Mb in size, we observed an increase in event frequency as event size decreased. The combined results underscore that the rate of detectable mosaicism increases with age (p value = 5.5 x 3 10(-31)) and is higher in men (p value = 0.002) but lower in participants of African ancestry (p value = 0.003). In a subset of 47 individuals from whom serial samples were collected up to 6 years apart, complex changes were noted over time and showed an overall increase in the proportion of mosaic cells as age increased. Our large combined sample allowed for a unique ability to characterize detectable genetic mosaicism involving large structural events and strengthens the emerging evidence of non-random erosion of the genome in the aging population.
|
|
| 7. |
|
|
| 8. |
- Wise, Emily, et al.
(författare)
-
Moving beyond traditional measures – lessons from evaluating collaborative initiatives at Lund University
- 2021
-
Ingår i: Academic and Practitioner Proceedings of the 2021 University-Industry Interaction Conference Series: Challenges and Solutions for Fostering Entrepreneurial Universities and Collaborative Innovation. ; , s. 45-60
-
Konferensbidrag (övrigt vetenskapligt/konstnärligt)abstract
- Over the last decade, universities and other institutions of higher education (HEIs) worldwide have witnessed an evolution to their role relative to society – with increasing attention to external engagement and expectations on societal impact. This has fostered an upswing in activity as research and innovation funding bodies and universities alike explore new approaches to working with external engagement, and led to questions regarding how to evaluate the societal impact of these efforts. Although there are examples of national frameworks to evaluate research impact, the large majority of countries and HEIs around theworld are still experimenting with approaches to evidence and assess their pathway to societal impact. This paper aims to contribute to evolving practice in this field by presenting lessons from the evaluation of a new strategic instrument (thematic collaboration initiatives) at Lund University (LU), Sweden.The evaluation of the strategic instrument “thematic collaboration initiatives” encompassed both initiative/operational and LU leadership/strategic levels. The approach to the evaluation combined traditional measures and processes, together with new indicators and evaluation approaches. The evaluation hasresulted in a better understanding of the range of activities and outputs that one can expect from such collaborative initiatives – informing the selection of measures to include in evaluation efforts. The evaluation also provided new insights on how universities can work with and use evaluation to guide thefurther development of the university’s approach to fostering external engagement. Participatory processes and facilitated reflection were very beneficial to draw out multiple perspectives and possible implicationsfor future development of the instrument.
|
|
