↓ Direkt till sidans innehåll
↓ Direkt till sidans sekundära innehåll (sidomenyn)

Träfflista för sökning "WFRF:(Swertz Morris A.) srt2:(2018)"

Search: WFRF:(Swertz Morris A.) > (2018)

Result 1-5 of 5

Sort/group result

Sort by: Hits per page:

Enumeration	Reference	Cover	Find
1.	Ligthart, S., et al. (author) Genome Analyses of >200,000 Individuals Identify 58 Loci for Chronic Inflammation and Highlight Pathways that Link Inflammation and Complex Disorders 2018 In: American Journal of Human Genetics. - : Elsevier BV. - 0002-9297 .- 1537-6605. ; 103:5, s. 691-706 Journal article (peer-reviewed)
2.	Evangelou, E, et al. (author) Publisher Correction: Genetic analysis of over 1 million people identifies 535 new loci associated with blood pressure traits 2018 In: Nature genetics. - : Springer Science and Business Media LLC. - 1546-1718 .- 1061-4036. ; 50:12, s. 1755-1755 Journal article (peer-reviewed)
3.	Evangelou, Evangelos, et al. (author) Genetic analysis of over 1 million people identifies 535 new loci associated with blood pressure traits. 2018 In: Nature Genetics. - : Springer Science and Business Media LLC. - 1061-4036 .- 1546-1718. ; 50:10, s. 1412-1425 Journal article (peer-reviewed)abstract High blood pressure is a highly heritable and modifiable risk factor for cardiovascular disease. We report the largest genetic association study of blood pressure traits (systolic, diastolic and pulse pressure) to date in over 1 million people of European ancestry. We identify 535 novel blood pressure loci that not only offer new biological insights into blood pressure regulation but also highlight shared genetic architecture between blood pressure and lifestyle exposures. Our findings identify new biological pathways for blood pressure regulation with potential for improved cardiovascular disease prevention in the future.
4.	Iotchkova, V, et al. (author) Author Correction: Discovery and refinement of genetic loci associated with cardiometabolic risk using dense imputation maps 2018 In: Nature genetics. - : Springer Science and Business Media LLC. - 1546-1718 .- 1061-4036. ; 50:12, s. 1752-1752 Journal article (peer-reviewed)
5.	Johansson, Lennart F., et al. (author) NIPTeR : an R package for fast and accurate trisomy prediction in non-invasive prenatal testing 2018 In: BMC Bioinformatics. - : BioMed Central. - 1471-2105. ; 19:1 Journal article (peer-reviewed)abstract BACKGROUND: Various algorithms have been developed to predict fetal trisomies using cell-free DNA in non-invasive prenatal testing (NIPT). As basis for prediction, a control group of non-trisomy samples is needed. Prediction accuracy is dependent on the characteristics of this group and can be improved by reducing variability between samples and by ensuring the control group is representative for the sample analyzed.RESULTS: NIPTeR is an open-source R Package that enables fast NIPT analysis and simple but flexible workflow creation, including variation reduction, trisomy prediction algorithms and quality control. This broad range of functions allows users to account for variability in NIPT data, calculate control group statistics and predict the presence of trisomies.CONCLUSION: NIPTeR supports laboratories processing next-generation sequencing data for NIPT in assessing data quality and determining whether a fetal trisomy is present. NIPTeR is available under the GNU LGPL v3 license and can be freely downloaded from https://github.com/molgenis/NIPTeR or CRAN.

Skapa referenser, mejla, bekava och länka

Permalink

Result 1-5 of 5

Refine your search

Type of publication: journal article (5)

Type of content: peer-reviewed (5)

Author/Editor: Langenberg, C. (3); Hofman, A (3); Hamsten, A (3); Willemsen, G (2); Peters, A (2); Mahajan, A. (2); show more...; Schmidt, H. (2); Huang, J. (2); Amin, N (2); van Duijn, CM (2); Lind, Lars (2); Trompet, S (2); Hofer, E (2); Milaneschi, Y (2); Teumer, A (2); Gudnason, V (2); Schmidt, R (2); Uitterlinden, AG (2); Dehghan, A (2); Boerwinkle, E (2); Sabater-Lleal, M. (2); Deelen, J. (2); Vollenweider, P. (2); Kutalik, Z. (2); Lehtimaki, T. (2); Rice, K. (2); Snieder, H. (2); Campbell, H (2); Laakso, M. (2); Zeggini, E (2); Lind, L (2); Salomaa, V (2); Boehnke, M (2); Franke, L (2); Watkins, H (2); van der Harst, P (2); Hayward, C. (2); Perola, M. (2); Gasparini, P. (2); Scott, RA (2); Vuckovic, D (2); Menni, C. (2); Vaez, A (2); Gandin, I (2); Nutile, T (2); Robino, A (2); Saba, Y (2); Ciullo, M (2); Cucca, F (2); Toniolo, D (2); show less...

University: Karolinska Institutet (4); Uppsala University (2); Stockholm University (2); Lund University (2); University of Gothenburg (1); University of Skövde (1)

Language: English (5)

Research subject (UKÄ/SCB): Natural sciences (3); Medical and Health Sciences (2)

Year: 2018 (5)Undo refine

Kungliga biblioteket hanterar dina personuppgifter i enlighet med EU:s dataskyddsförordning (2018), GDPR. Läs mer om hur det funkar här.
Så här hanterar KB dina uppgifter vid användning av denna tjänst.

Copyright © LIBRIS - National Library Systems
LIBRIS.kb.se

pil uppåt

Close

Copy and save the link in order to return to this view