Abstract
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.
Original language | English |
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Article number | 447 |
Pages (from-to) | 447 |
Number of pages | 10 |
Journal | Nature Communications |
Volume | 8 |
Issue number | 1 |
DOIs | |
Publication status | Published - 6 Sep 2017 |
Keywords
- Adolescent
- Adult
- Aged
- Aged, 80 and over
- B-Lymphocytes/metabolism
- Cell Cycle Proteins/genetics
- Cohort Studies
- Female
- Fucosyltransferases/genetics
- Genetic Loci
- Genetic Pleiotropy
- Genome-Wide Association Study
- Glycosylation
- Humans
- Immunoglobulin G/genetics
- Male
- Microtubule Proteins/genetics
- Middle Aged
- Phenotype
- Transcriptional Elongation Factors/genetics
- United Kingdom
- Young Adult
- SET
- MIXED-MODEL
- TRAITS
- GENOME-WIDE ASSOCIATION
- IGG
- DISEASE