Tag: GWAS

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Scientists from NSU and PolyKnomics developed one of the world largest databases of genetic associations

This database stores tens of billions of associations of genetic variants with human traits, investigated by the scientific community in hundreds of studies. Knowledge of such associations allows for better understanding of human genetics and biology and can contribute to the diagnosis, prevention and treatment of diseases. The results of the work were published in […]

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Glycosylation of immunoglobulin G is regulated by a large network of genes pleiotropic with inflammatory diseases

Immunoglobulin G (IgG) that plays central role in adaptive immunity is the most abundant immunoglobulin found in human plasma. All IgG molecules are N-glycosylated. N-glycosylation of IgG contributes to the maintenance of its structure, stability, and solubility. In a large collaborative study, we analysed association between genomes and glycosylation of immunoglobulin G (IgG) in more than […]

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Understanding genetic control of human protein N-glycosylation

Glycosylation – addition of carbohydrates – is a common cotranslational and posttranslational modification of proteins. Attachment of different glycans to the same protein can give rise to hundreds of its glycoforms. Different glycosylation of the same glycoprotein changes its physical properties as well as its biological function. In recent years, changes in different glycan abundances were associated with various diseases, including many of these […]

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Genomic approach to determine psychological and anatomic determinants of back pain

Back pain is the number one cause of years lived with disability worldwide and one of the most common reasons for health care visits in developed countries, yet surprisingly little is known regarding the biology underlying this symptom. In our previous study1, published in Sept 2018, we identified three novel genetic variants associated with chronic […]

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Genetic determinants of human healthspan

Aging populations face diminishing quality of life due to increased disease and morbidity. These challenges call for longevity research to focus on understanding the pathways controlling healthspan. A new study, led by dr. Peter Fedichev (Gero LLC) and prof. Yurii Aulchenko (PolyOmica), used the data from the UK Biobank to understand biology of healthspan1. We observed that the […]

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Identification of sixty three multigenic modules involved in susceptibility to inflammatory bowel disease

Inflammatory bowel disease (IBD) is a group of inflammatory conditions of the colon and small intestine. Crohn’s disease (CD) and ulcerative colitis (UC) are the principal types of inflammatory bowel disease.  IBD was virtually unheard of in the early nineteen hundreds. Since then it’s incidence (as well as that of a series of other inflammatory diseases including asthma) has dramatically […]

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Yurii Aulchenko lecturing at the RSSSO 2014

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Recorded lectures of the RSSSO 2014 now available on YouTube

Back in 2014 we initiated the Research Summer School in Statistical Omics with the help of many friends and colleagues, and with the support (financial and other) from various sources, including the EU-funded MIMOmics project, in which we participate, and the EU-funded Integra-Life project. In a period of two weeks we immersed 13 students (and […]

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The Erasmus bridge in Rotterdam, NL

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Teaching at the “Advances in GWAS” course in Rotterdam next week

Next week (starting Monday January 30 2017) Yurii and I will be in Rotterdam at the Erasmus University Medical Center where we will teach in the “Advances in Genome-Wide Associations” course of NIHES. This course is part of the Master’s programme in Health Sciences and is compulsory for those who follow the specialisation “Genetic Epidemiology”. […]

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Detecting variants shared between traits, detecting potential causality from GWAS summary data

Pickrell et al. (Pickrell et al., 2016) come up with a very nice approach which uses summary-level data to detect variants exhibiting effects on multiple traits. They also propose use of multi-locus information to infer causative relations between traits. The manuscript starts with reminding the reader that the observed association between a genetic variant and multiple […]

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Better eQTLs for integrative functional genomics? – discussion on SMR/HEIDI

This is a follow-up post to the mini-review of the work of Zhu et al. [1] and is a reaction to tweet from @JosephPowell_UQ 🙂 In short, in Zhu et al. [1] have used eQTL results from peripheral blood to answer the question of potential biological function affected by genetic variation associated with five complex trait. Using such eQTLs may […]

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