Title |
Genetic insights into common pathways and complex relationships among immune-mediated diseases
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Published in |
Nature Reviews Genetics, August 2013
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DOI | 10.1038/nrg3502 |
Pubmed ID | |
Authors |
Miles Parkes, Adrian Cortes, David A. van Heel, Matthew A. Brown |
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. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United Kingdom | 5 | 36% |
United States | 3 | 21% |
Spain | 1 | 7% |
Mexico | 1 | 7% |
Unknown | 4 | 29% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 8 | 57% |
Scientists | 5 | 36% |
Practitioners (doctors, other healthcare professionals) | 1 | 7% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 12 | 2% |
United Kingdom | 6 | 1% |
Germany | 5 | <1% |
Spain | 2 | <1% |
Korea, Republic of | 1 | <1% |
Italy | 1 | <1% |
Netherlands | 1 | <1% |
Austria | 1 | <1% |
Australia | 1 | <1% |
Other | 6 | 1% |
Unknown | 556 | 94% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 143 | 24% |
Researcher | 143 | 24% |
Student > Master | 47 | 8% |
Student > Bachelor | 44 | 7% |
Professor > Associate Professor | 33 | 6% |
Other | 100 | 17% |
Unknown | 82 | 14% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 191 | 32% |
Medicine and Dentistry | 104 | 18% |
Biochemistry, Genetics and Molecular Biology | 97 | 16% |
Immunology and Microbiology | 41 | 7% |
Computer Science | 13 | 2% |
Other | 45 | 8% |
Unknown | 101 | 17% |