Data publications from the Statistical Genetics Group at Heidelberg University's Institute of Medical Biometry and Informatics.
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MS Excel Spreadsheet - 999.3 KB - MD5: 2657dbec27ccc0f44e4f73cf926a1b8a
Plain Text - 14.1 MB - MD5: f26268836b80ccf568f06b96632f12c6
Oct 15, 2018
Kabisch, Maria; Hamann, Ute; Lorenzo Bermejo, Justo, 2018, "Imputation of Missing Genotypes within LD-Blocks Relying on the Basic Coalescent and Beyond [Source Code]", https://doi.org/10.11588/data/X9UEHB, heiDATA, V1
Background Genotypes not directly measured in genetic studies are often imputed to improve statistical power and to increase mapping resolution. The accuracy of standard imputation techniques strongly depends on the similarity of linkage disequilibrium (LD) patterns in the study...
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