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Journal ArticleDOI

Genetic insights into common pathways and complex relationships among immune-mediated diseases.

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TLDR
It is revealed that several diseases share multiple susceptibility loci, but there are many nuances that help explain why early evidence of extensive 'sharing' is not always reflected in epidemiological overlap.
Abstract
Shared aetiopathogenic factors among immune-mediated diseases have long been suggested by their co-familiality and co-occurrence, and molecular support has been provided by analysis of human leukocyte antigen (HLA) haplotypes and genome-wide association studies. The interrelationships can now be better appreciated following the genotyping of large immune disease sample sets on a shared SNP array: the 'Immunochip'. Here, we systematically analyse loci shared among major immune-mediated diseases. This reveals that several diseases share multiple susceptibility loci, but there are many nuances. The most associated variant at a given locus frequently differs and, even when shared, the same allele often has opposite associations. Interestingly, risk alleles conferring the largest effect sizes are usually disease-specific. These factors help to explain why early evidence of extensive 'sharing' is not always reflected in epidemiological overlap.

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Citations
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Elements of cancer immunity and the cancer–immune set point

Daniel S. Chen, +1 more
- 19 Jan 2017 - 
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10 Years of GWAS Discovery: Biology, Function, and Translation

TL;DR: The remarkable range of discoveriesGWASs has facilitated in population and complex-trait genetics, the biology of diseases, and translation toward new therapeutics are reviewed.
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Detection of widespread horizontal pleiotropy in causal relationships inferred from Mendelian randomization between complex traits and diseases.

TL;DR: The MR-PRESSO test detects and corrects horizontal pleiotropy in multi-instrument Mendelian randomization (MR) analyses and introduces distortions in the causal estimates in MR that ranged on average from –131% to 201%; it is shown using simulations that the MR-pressO test is best suited when horizontal Pleiotropy occurs in <50% of instruments.
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The evolving landscape of biomarkers for checkpoint inhibitor immunotherapy

TL;DR: A better understanding of how these variables cooperate to affect tumour–host interactions is needed to optimize the implementation of precision immunotherapy.
References
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Journal ArticleDOI

Finding the sources of missing heritability in a yeast cross

TL;DR: A large cross between two yeast strains is used to accurately estimate different sources of heritable variation for 46 quantitative traits, and to detect underlying loci with high statistical power, and it is found that the detected loci explain nearly the entire additive contribution to heritability for the traits studied.
Journal ArticleDOI

Bayesian refinement of association signals for 14 loci in 3 common diseases.

TL;DR: In this paper, the authors defined credible sets of SNPs that were 95% likely, based on posterior probability, to contain the causal disease-associated SNPs, and showed the value of more detailed mapping to target sequences for functional studies.

Identification of 15 new psoriasis susceptibility loci highlights the role of innate immunity

Lam C. Tsoi, +199 more
TL;DR: A meta-analysis of genome-wide association studies and independent data sets genotyped on the Immunochip identified 15 new susceptibility loci, increasing to 36 the number associated with psoriasis in European individuals, and identified five independent signals within previously known loci.
Journal ArticleDOI

Identifying Relationships among Genomic Disease Regions: Predicting Genes at Pathogenic SNP Associations and Rare Deletions

TL;DR: A statistical method that takes a list of disease regions and automatically assesses the degree of relatedness of implicated genes using 250,000 PubMed abstracts, and offers a statistically robust approach to identifying functionally related genes from across multiple disease regions—that likely represent key disease pathways.
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