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A quantitative trait rare variant nonparametric linkage method with application to age-at-onset of Alzheimer’s disease

To analyze pedigrees with quantitative trait (QT) and sequence data, we developed a rare variant (RV) quantitative nonparametric linkage (QNPL) method, which evaluates sharing of minor alleles. RV-QNPL has greater power than the traditional QNPL that tests for excess sharing of minor and major allel...

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書誌詳細
出版年:Eur J Hum Genet
主要な著者: Zhao, Linhai, Zhang, Zhihui, Rodriguez, Sandra M. Barral, Vardarajan, Badri N., Renton, Alan E., Goate, Alison M., Mayeux, Richard, Wang, Gao T., Leal, Suzanne M.
フォーマット: Artigo
言語:Inglês
出版事項: Springer International Publishing 2020
主題:
オンライン・アクセス:https://ncbi.nlm.nih.gov/pmc/articles/PMC7785016/
https://ncbi.nlm.nih.gov/pubmed/32740652
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/s41431-020-0703-z
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