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FältnamnIndikatorerMetadata
00006302naa a2200661 4500
001oai:gup.ub.gu.se/294981
003SwePub
008240528s2020 | |||||||||||000 ||eng|
009oai:DiVA.org:kth-278636
009oai:DiVA.org:liu-189624
009oai:prod.swepub.kib.ki.se:144059768
0247 a https://gup.ub.gu.se/publication/2949812 URI
0247 a https://doi.org/10.1186/s13073-020-00755-02 DOI
0247 a https://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-2786362 URI
0247 a https://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-1896242 URI
0247 a http://kipublications.ki.se/Default.aspx?queryparsed=id:1440597682 URI
040 a (SwePub)gud (SwePub)kthd (SwePub)liud (SwePub)ki
041 a eng
042 9 SwePub
072 7a ref2 swepub-contenttype
072 7a art2 swepub-publicationtype
1001 a Zhong, Wenu KTH,Proteinvetenskap,Science for Life Laboratory, SciLifeLab,KTH, Proteinvetenskap, Sweden4 aut0 (Swepub:liu)wenzh16
2451 0a Whole-genome sequence association analysis of blood proteins in a longitudinal wellness cohort
264 c 2020-06-23
264 1b Springer Science and Business Media LLC,c 2020
500 a QC 20200723
520 a Background The human plasma proteome is important for many biological processes and targets for diagnostics and therapy. It is therefore of great interest to understand the interplay of genetic and environmental factors to determine the specific protein levels in individuals and to gain a deeper insight of the importance of genetic architecture related to the individual variability of plasma levels of proteins during adult life. Methods We have combined whole-genome sequencing, multiplex plasma protein profiling, and extensive clinical phenotyping in a longitudinal 2-year wellness study of 101 healthy individuals with repeated sampling. Analyses of genetic and non-genetic associations related to the variability of blood levels of proteins in these individuals were performed. Results The analyses showed that each individual has a unique protein profile, and we report on the intra-individual as well as inter-individual variation for 794 plasma proteins. A genome-wide association study (GWAS) using 7.3 million genetic variants identified by whole-genome sequencing revealed 144 independent variants across 107 proteins that showed strong association (P < 6 x 10(-11)) between genetics and the inter-individual variability on protein levels. Many proteins not reported before were identified (67 out of 107) with individual plasma level affected by genetics. Our longitudinal analysis further demonstrates that these levels are stable during the 2-year study period. The variability of protein profiles as a consequence of environmental factors was also analyzed with focus on the effects of weight loss and infections. Conclusions We show that the adult blood levels of many proteins are determined at birth by genetics, which is important for efforts aimed to understand the relationship between plasma proteome profiles and human biology and disease.
650 7a MEDICIN OCH HÄLSOVETENSKAPx Medicinska och farmaceutiska grundvetenskaperx Medicinsk genetik0 (SwePub)301072 hsv//swe
650 7a MEDICAL AND HEALTH SCIENCESx Basic Medicinex Medical Genetics0 (SwePub)301072 hsv//eng
653 a Protein levels
653 a Blood
653 a Genetics
653 a Whole-genome sequence
653 a Genome-wide
653 a associations
653 a variants
653 a models
653 a driven
653 a Genetics & Heredity
653 a Protein levels
7001 a Gummesson, Anders,d 1973u Gothenburg University,Göteborgs universitet,Institutionen för medicin, avdelningen för molekylär och klinisk medicin,Institute of Medicine, Department of Molecular and Clinical Medicine,Gothenburg Univ, Sahlgrenska Acad, Inst Med, Dept Mol & Clin Med, Gothenburg, Sweden.;Sahlgrens Univ Hosp, Dept Clin Genet & Genom, Gothenburg, Sweden.4 aut0 (Swepub:gu)xguman
7001 a Abdellah, Tebaniu KTH,Proteinvetenskap,Science for Life Laboratory, SciLifeLab,KTH, Proteinvetenskap, Sweden4 aut0 (Swepub:kth)u17jnmwg
7001 a Karlsson, Maxu KTH,Science for Life Laboratory, SciLifeLab,Proteinvetenskap,KTH, Science for Life Laboratory, SciLifeLab, Sweden4 aut0 (Swepub:kth)u1hm1ssx
7001 a Hong, Mun-Gwanu KTH,Science for Life Laboratory, SciLifeLab,Proteinvetenskap,KTH, Science for Life Laboratory, SciLifeLab, Sweden4 aut0 (Swepub:kth)u19gmsru
7001 a Schwenk, Jochen M.u KTH,Science for Life Laboratory, SciLifeLab,Proteinvetenskap,KTH, Science for Life Laboratory, SciLifeLab, Sweden4 aut0 (Swepub:kth)u1h7wtme
7001 a Edfors, Fredriku KTH,Proteinvetenskap,Science for Life Laboratory, SciLifeLab,KTH, Proteinvetenskap, Sweden4 aut0 (Swepub:kth)u149ml0e
7001 a Bergström, Göran,d 1964u Gothenburg University,Göteborgs universitet,Institutionen för medicin, avdelningen för molekylär och klinisk medicin,Institute of Medicine, Department of Molecular and Clinical Medicine,Gothenburg Univ, Sahlgrenska Acad, Inst Med, Dept Mol & Clin Med, Gothenburg, Sweden.;Sahlgrens Univ Hosp, Dept Clin Physiol, Gothenburg, Sweden.4 aut0 (Swepub:gu)xbgort
7001 a Fagerberg, Linnu KTH,Science for Life Laboratory, SciLifeLab,Proteinvetenskap,KTH, Science for Life Laboratory, SciLifeLab, Sweden4 aut0 (Swepub:kth)u1dglfid
7001 a Uhlén, Mathiasu KTH,Science for Life Laboratory, SciLifeLab,Proteinvetenskap,Karolinska Inst, Dept Neurosci, Stockholm, Sweden.,KTH, Science for Life Laboratory, SciLifeLab, Sweden4 aut0 (Swepub:kth)u1dulvmw
7102 a KTHb Proteinvetenskap4 org
7730 t Genome Medicined : Springer Science and Business Media LLCg 12:1q 12:1x 1756-994X
8564 u https://genomemedicine.biomedcentral.com/track/pdf/10.1186/s13073-020-00755-0
8564 u https://doi.org/10.1186/s13073-020-00755-0y Fulltext
8564 8u https://gup.ub.gu.se/publication/294981
8564 8u https://doi.org/10.1186/s13073-020-00755-0
8564 8u https://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-278636
8564 8u https://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-189624
8564 8u http://kipublications.ki.se/Default.aspx?queryparsed=id:144059768

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