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Daniel Leongamornlert

Researcher at Wellcome Trust Sanger Institute

Publications -  96
Citations -  13544

Daniel Leongamornlert is an academic researcher from Wellcome Trust Sanger Institute. The author has contributed to research in topics: Prostate cancer & Genome-wide association study. The author has an hindex of 38, co-authored 81 publications receiving 11022 citations. Previous affiliations of Daniel Leongamornlert include Institute of Cancer Research.

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The zebrafish reference genome sequence and its relationship to the human genome.

Kerstin Howe, +174 more
- 25 Apr 2013 - 
TL;DR: A high-quality sequence assembly of the zebrafish genome is generated, made up of an overlapping set of completely sequenced large-insert clones that were ordered and oriented using a high-resolution high-density meiotic map, providing a clearer understanding of key genomic features such as a unique repeat content, a scarcity of pseudogenes, an enrichment of zebra fish-specific genes on chromosome 4 and chromosomal regions that influence sex determination.
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Multiple newly identified loci associated with prostate cancer susceptibility.

TL;DR: A genome-wide association study using blood DNA samples from 1,854 individuals with clinically detected prostate cancer diagnosed at ≤60 years or with a family history of disease, and 1,894 population-screened controls with a low prostate-specific antigen (PSA) concentration (<0.5 ng/ml) identified seven loci associated with prostate cancer on chromosomes 3, 6, 7, 10, 11, 19 and X.
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DNA sequence and analysis of human chromosome 9

Andrew J. Mungall, +170 more
- 23 Oct 2003 - 
TL;DR: Analysis of the sequence reveals many intra- and interchromosomal duplications, including segmental duplications adjacent to both the centromere and the large heterochromatic block, and detects recently duplicated genes that exhibit different rates of sequence divergence, presumably reflecting natural selection.
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Association analyses of more than 140,000 men identify 63 new prostate cancer susceptibility loci

Fredrick R. Schumacher, +207 more
- 11 Jun 2018 - 
TL;DR: A large meta-analysis combining genome-wide and custom high-density genotyping array data identifies 63 new susceptibility loci for prostate cancer, enhancing fine-mapping efforts and providing insights into the underlying biology of PrCa1.