Pregled bibliografske jedinice broj: 1002544
Multivariate discovery and replication of five novel loci associated with Immunoglobulin G N-glycosylation
Multivariate discovery and replication of five novel loci associated with Immunoglobulin G N-glycosylation // Nature Communications, 8 (2017), 1; 447, 10 doi:10.1038/s41467-017-00453-3 (međunarodna recenzija, članak, znanstveni)
CROSBI ID: 1002544 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Multivariate discovery and replication of five novel loci associated with Immunoglobulin G N-glycosylation
Autori
Shen, Xia ; Klarić, Lucija ; Sharapov, Sodbo ; Mangino, Massimo ; Ning, Zheng ; Wu, Di ; Trbojević-Akmačić, Irena ; Pučić-Baković, Maja ; Rudan, Igor ; Polašek, Ozren ; Hayward, Caroline ; Spector, Timothy D. ; Wilson, James F. ; Lauc, Gordan ; Aulchenko, Yurii S.
Izvornik
Nature Communications (2041-1723) 8
(2017), 1;
447, 10
Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni
Ključne riječi
GWAS
Sažetak
Joint modeling of a number of phenotypes using multivariate methods has often been neglected in genome-wide association studies and if used, replication has not been sought. Modern omics technologies allow characterization of functional phenomena using a large number of related phenotype measures, which can benefit from such joint analysis. Here, we report a multivariate genome-wide association studies of 23 immunoglobulin G (IgG) N-glycosylation phenotypes. In the discovery cohort, our multi-phenotype method uncovers ten genome-wide significant loci, of which five are novel (IGH, ELL2, HLA-B-C, AZI1, FUT6-FUT3). We convincingly replicate all novel loci via multivariate tests. We show that IgG N-glycosylation loci are strongly enriched for genes expressed in the immune system, in particular antibody-producing cells and B lymphocytes. We empirically demonstrate the efficacy of multivariate methods to discover novel, reproducible pleiotropic effects.
Izvorni jezik
Engleski
Znanstvena područja
Kemija, Biologija, Interdisciplinarne prirodne znanosti
POVEZANOST RADA
Projekti:
EK-FP7-305280 - Methods for Integrated analysis of Multiple Omics datasets (MIMOMICS) (Lauc, Gordan, EK - FP7-HEALTH-2012-INNOVATION-1) ( CroRIS)
EK-FP7-324400 - Methods for high-throughput glycoproteomic analysis (HTP-GLYCOMET) (Jonjić, Stipan, EK - FP7-PEOPLE-2012-IAPP) ( CroRIS)
EK-FP7-602736 - Multi-dimensional omics approach to stratification of patients with low back pain (PAIN-OMICS) (Primorac, Dragan; Lauc, Gordan, EK - FP7-HEALTH-2013-INNOVATION-1) ( CroRIS)
EK-FP7-315997 - Integrating research in molecular life sciences at the University of Zagreb (INTEGRA-LIFE) (Lauc, Gordan; Zoldoš, Vlatka; Gruić-Sovulj, Ita; Vlahoviček, Kristian; Weygand Đurašević, Ivana; Rokov Plavec, Jasmina; Maravić Vlahoviček, Gordana, EK - FP7-REGPOT-2012-2013-1) ( CroRIS)
Ustanove:
Farmaceutsko-biokemijski fakultet, Zagreb,
Sveučilište u Splitu,
GENOS d.o.o.
Profili:
Ozren Polašek (autor)
Gordan Lauc (autor)
Igor Rudan (autor)
IRENA TRBOJEVIĆ AKMAČIĆ (autor)
Maja Pučić Baković (autor)
Citiraj ovu publikaciju:
Časopis indeksira:
- Current Contents Connect (CCC)
- Web of Science Core Collection (WoSCC)
- Science Citation Index Expanded (SCI-EXP)
- SCI-EXP, SSCI i/ili A&HCI
- Scopus
- MEDLINE
- Nature Index