A1 Refereed original research article in a scientific journal
Genetic architecture of human plasma lipidome and its link to cardiovascular disease
Authors: Tabassum R, Ramo JT, Ripatti P, Koskela JT, Kurki M, Karjalainen J, Palta P, Hassan S, Nunez-Fontarnau J, Kiiskinen TTJ, Soderlund S, Matikainen N, Gerl MJ, Surma MA, Klose C, Stitziel NO, Laivuori H, Havulinna AS, Service SK, Salomaa V, Pirinen M, Jauhiainen M, Daly MJ, Freimer NB, Palotie A, Taskinen MR, Simons K, Ripatti S, Jalanko A, Kaprio J, Donner K, Kaunisto M, Mars N, Dada A, Shcherban A, Ganna A, Lehisto A, Kilpelainen E, Brein G, Awaisa G, Harju J, Parr K, Parolo PD, Kajanne R, Lemmela S, Sipila TP, Sipila T, Lyhs U, Llorens V, Niiranen T, Kristiansson K, Mannikko L, Jimenez MG, Perola M, Wong R, Kilpi T, Hiekkalinna T, Jarvensivu E, Kaiharju E, Mattsson H, Laukkanen M, Laiho P, Lahteenmaki S, Sistonen T, Soini S, Ziemann A, Lehtonen A, Lertratanakul A, Georgantas B, Riley-Gillis B, Quarless D, Rahimov F, Heap G, Jacob H, Waring J, Davis JW, Smaoui N, Popovic R, Esmaeeli S, Waring J, Matakidou A, Challis B, Close D, Petrovski S, Karlsson A, Schleutker J, Pulkki K, Virolainen P, Kallio L, Mannermaa A, Heikkinen S, Kosma VM, Chen CY, Runz H, Liu J, Bronson P, John S, Landenpera S, Eaton S, Zhou W, Hendolin M, Tuovila O, Pakkanen R, Maranville J, Usiskin K, Hochfeld M, Plenge R, Yang R, Biswas S, Greenberg S, Laakkonen E, Kononen J, Paloneva J, Kujala U, Kuopio T, Laukkanen J, Kangasniemi E, Savinainen K, Laaksonen R, Arvas M, Ritari J, Partanen J, Hyvarinen K, Wahlfors T, Peterson A, Oh D, Chang D, Teng E, Strauss E, Kerchner G, Chen H, Chen H, Schutzman J, Michon J, Hunkapiller J, McCarthy M, Bowers N, Lu T, Bhangale T, Pulford D, Waterworth D, Kulkarni D, Xu FL, Betts J, Gordillo JE, Hoffman J, Auro K, McCarthy L, Ghosh S, Ehm M, Pitkanen K, Makela T, Loukola A, Joensuu H, Sinisalo J, Eklund K, Aaltonen L, Farkkila M, Carpen O, Kauppi P, Tienari P, Ollila T, Tuomi T, Meretoja T, Pitkaranta A, Turunen J, Hannula-Jouppi K, Pikkarainen S, Seitsonen S, Koskinen M, Palomaki A, Rinne J, Metsarinne K, Elenius K, Pirila L, Koulu L, Voutilainen M, Juonala M, Peltonen S, Aaltonen V, Loboda A, Podgornaia A, Chhibber A, Chu A, Fox C, Diogo D, Holzinger E, Eicher J, Gormley P, Mehta V, Wang XL, Kettunen J, Pylkas K, Kalaoja M, Karjalainen M, Hinttala R, Kaarteenaho R, Vainio S, Mantere T, Remes A, Huhtakangas J, Junttila J, Tasanen K, Huilaja L, Luodonpaa M, Hautala N, Karihtala P, Kauppila S, Harju T, Blomster T, Soininen H, Harvima I, Pihlajamaki J, Kaarniranta K, Pelkonen M, Laakso M, Hiltunen M, Kiviniemi M, Kaipiainen-Seppanen O, Auvinen P, Kalviainen R, Julkunen V, Malarstig A, Hedman A, Marshal C, Whelan C, Lehtonen H, Parkkinen J, Linden K, Kalpala K, Miller M, Bing N, McDonough S, Chen X, Hu XL, Wu Y, Auranen A, Jussila A, Uusitalo-Jarvinen H, Kankaanranta H, Uusitalo H, Peltola J, Kahonen M, Isomaki P, Laitinen T, Salmi T, Muslin A, Wang C, Chatelain C, Xu E, Auge F, Call K, Klinger K, Crohns M, Gossel M, Palin K, Rivas M, Siirtola H, Tabuenca JG
Publisher: NATURE PUBLISHING GROUP
Publication year: 2019
Journal: Nature Communications
Journal name in source: NATURE COMMUNICATIONS
Journal acronym: NAT COMMUN
Article number: ARTN 4329
Volume: 10
Number of pages: 14
ISSN: 2041-1723
eISSN: 2041-1723
DOI: https://doi.org/10.1038/s41467-019-11954-8
Web address : https://www.nature.com/articles/s41467-019-11954-8
Self-archived copy’s web address: https://research.utu.fi/converis/portal/detail/Publication/45110995
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 x10(-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.
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