SEQSpark: A Complete Analysis Tool for Large-Scale Rare Variant Association Studies Using Whole-Genome and Exome Sequence Data

Massively parallel sequencing technologies provide great opportunities for discovering rare susceptibility variants involved in complex disease etiology via large-scale imputation and exome and whole-genome sequence-based association studies. Due to modest effect sizes, large sample sizes of tens to...

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Bibliografiset tiedot
Julkaisussa:Am J Hum Genet
Päätekijät: Zhang, Di, Zhao, Linhai, Li, Biao, He, Zongxiao, Wang, Gao T., Liu, Dajiang J., Leal, Suzanne M.
Aineistotyyppi: Artigo
Kieli:Inglês
Julkaistu: Elsevier 2017
Aiheet:
Report
Linkit:https://ncbi.nlm.nih.gov/pmc/articles/PMC5501866/
https://ncbi.nlm.nih.gov/pubmed/28669402
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.ajhg.2017.05.017
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