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Pregled bibliografske jedinice broj: 1002544

Multivariate discovery and replication of five novel loci associated with Immunoglobulin G N-glycosylation


Shen, Xia; Klarić, Lucija; Sharapov, Sodbo; Mangino, Massimo; Ning, Zheng; Wu, Di; Trbojević-Akmačić, Irena; Pučić-Baković, Maja; Rudan, Igor; Polašek, Ozren et al.
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


Projekt / tema
EK-FP7-324400 - Methods for high-throughput glycoproteomic analysis (HTP-GLYCOMET) (EK - FP7-PEOPLE-2012-IAPP)
EK-FP7-305280 - Methods for Integrated analysis of Multiple Omics datasets (MIMOMICS) (EK - FP7-HEALTH-2012-INNOVATION-1)
EK-FP7-315997 - Integrating research in molecular life sciences at the University of Zagreb (INTEGRA-LIFE) (EK - FP7-REGPOT-2012-2013-1)
EK-FP7-602736 - Multi-dimensional omics approach to stratification of patients with low back pain (PAIN-OMICS) (EK - FP7-HEALTH-2013-INNOVATION-1)

Ustanove
Farmaceutsko-biokemijski fakultet, Zagreb,
Sveučilište u Splitu,
GENOS d.o.o.

Citiraj ovu publikaciju

Shen, Xia; Klarić, Lucija; Sharapov, Sodbo; Mangino, Massimo; Ning, Zheng; Wu, Di; Trbojević-Akmačić, Irena; Pučić-Baković, Maja; Rudan, Igor; Polašek, Ozren et al.
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)
Shen, X., Klarić, L., Sharapov, S., Mangino, M., Ning, Z., Wu, D., Trbojević-Akmačić, I., Pučić-Baković, M., Rudan, I. & Polašek, O. (2017) Multivariate discovery and replication of five novel loci associated with Immunoglobulin G N-glycosylation. Nature Communications, 8 (1), 447, 10 doi:10.1038/s41467-017-00453-3.
@article{article, year = {2017}, pages = {10}, DOI = {10.1038/s41467-017-00453-3}, chapter = {447}, keywords = {GWAS}, journal = {Nature Communications}, doi = {10.1038/s41467-017-00453-3}, volume = {8}, number = {1}, issn = {2041-1723}, title = {Multivariate discovery and replication of five novel loci associated with Immunoglobulin G N-glycosylation}, keyword = {GWAS}, chapternumber = {447} }

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


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