First genome-wide association study of non-severe malaria in two birth cohorts in Benin
Author:
Funder
Agence Nationale de la Recherche
Ministère de la Recherche et des Technologies
Publisher
Springer Science and Business Media LLC
Subject
Genetics(clinical),Genetics
Link
http://link.springer.com/content/pdf/10.1007/s00439-019-02079-5.pdf
Reference74 articles.
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2. Adzhubei IA, Schmidt S, Peshkin L, Ramensky VE, Gerasimova A, Bork P, Kondrashov AS, Sunyaev SR (2010) A method and server for predicting damaging missense mutations. Nat Methods 7(4):248–249. https://doi.org/10.1038/nmeth0410-248
3. Anderson CA, Pettersson FH, Clarke GM, Cardon LR, Morris AP, Zondervan KT (2010) Data quality control in genetic case–control association studies. Nat Protoc 5(9):1564–1573. https://doi.org/10.1038/nprot.2010.116
4. Baaklini S, Afridi S, Nguyen TN, Koukouikila-Koussounda F, Ndounga M, Imbert J, Torres M, Pradel L, Ntoumi F, Rihet P (2017) Beyond genome-wide scan: association of a cis-regulatory NCR5 variant with mild malaria in a population living in the Republic of Congo. PLoS One 12(11):e0187818. https://doi.org/10.1371/journal.pone.0187818
5. Band G, Le QS, Jostins L, Pirinen M, Kivinen K, Jallow M, Sisay-Joof F et al (2013) Imputation-based meta-analysis of severe malaria in three African populations. PLoS Genet 9(5):e1003509. https://doi.org/10.1371/journal.pgen.1003509
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