A team of six, with two authors affiliated with PolyOmica, has received a 2020 prize in Clinical Science from the International Society for the Study of the Lumbar Spine (ISSLS) for a study that found a significant causal effect of BMI on both back pain and chronic back pain1. Back pain is the #1 cause […]
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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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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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Back pain is the #1 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. A new study, led by Pradeep Suri of the Department of Veterans Affairs in Seattle, Washington (U.S.A.) and […]
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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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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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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 […]
Read full case studyThis 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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In this work, Zhu and colleagues [1] start with asking the question whether it would be possible to use summary-level data coming from GWAS of a complex trait coupled with eQTL association results to address the question of causality. Could the association observed for the complex trait be explained by changes in the level of a […]
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