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Atsushi Takahashi

Researcher at Tohoku University

Publications -  132
Citations -  9039

Atsushi Takahashi is an academic researcher from Tohoku University. The author has contributed to research in topics: Genome-wide association study & Catalysis. The author has an hindex of 40, co-authored 129 publications receiving 7490 citations. Previous affiliations of Atsushi Takahashi include National Institute of Advanced Industrial Science and Technology & Claude Bernard University Lyon 1.

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Genetics of rheumatoid arthritis contributes to biology and drug discovery

Yukinori Okada, +115 more
- 20 Feb 2014 - 
TL;DR: A genome-wide association study meta-analysis in a total of >100,000 subjects of European and Asian ancestries provides empirical evidence that the genetics of RA can provide important information for drug discovery, and sheds light on fundamental genes, pathways and cell types that contribute to RA pathogenesis.
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Seven new loci associated with age-related macular degeneration

Lars G. Fritsche, +185 more
- 01 Apr 2013 - 
TL;DR: A collaborative genome-wide association study, including >17,100 advanced AMD cases and >60,000 controls of European and Asian ancestry, identifies 19 loci associated at P < 5 × 10−8, which show enrichment for genes involved in the regulation of complement activity, lipid metabolism, extracellular matrix remodeling and angiogenesis.
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Multi-ancestry genome-wide association study of 21,000 cases and 95,000 controls identifies new risk loci for atopic dermatitis

Lavinia Paternoster, +154 more
- 19 Oct 2015 - 
TL;DR: This paper performed a meta-analysis of >15 million genetic variants in 21,399 cases and 95,464 controls from populations of European, African, Japanese and Latino ancestry, followed by replication in 32,059 cases and 228,628 controls from 18 studies.
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A meta-analysis of 87,040 individuals identifies 23 new susceptibility loci for prostate cancer

Ali Amin Al Olama, +179 more
- 01 Oct 2014 - 
TL;DR: These findings provide new regions for investigation into the pathogenesis of prostate cancer and demonstrate the usefulness of combining ancestrally diverse populations to discover risk loci for disease.