Data publications from the Statistical Genetics Group at Heidelberg University's Institute of Medical Biometry and Informatics.
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1 to 6 of 6 Results
RNA Sequence Data for Hepatobiliary Cancer Cell Lines
Oct 22, 2018
Lorenzo Bermejo, Justo et al., 2018, "RNA Sequence Data for Hepatobiliary Cancer Cell Lines", https://doi.org/10.11588/data/SCGJHQ, heiDATA, V1
RNA Sequence Data for Hepatobiliary Cancer Cell Lines
Imputation of Missing Genotypes within LD-Blocks Relying on the Basic Coalescent and Beyond [Source Code]
Imputation of Missing Genotypes within LD-Blocks Relying on the Basic Coalescent and Beyond [Source Code]
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...
Tailored Selection of Study Individuals to be Sequenced in Order to Improve the Accuracy of Genotype Imputation [Source Code]
Tailored Selection of Study Individuals to be Sequenced in Order to Improve the Accuracy of Genotype Imputation [Source Code]
Oct 15, 2018
Peil, Barbara; Kabisch, Maria; Fischer, Christine; Hamann, Ute; Lorenzo Bermejo, Justo, 2018, "Tailored Selection of Study Individuals to be Sequenced in Order to Improve the Accuracy of Genotype Imputation [Source Code]", https://doi.org/10.11588/data/TT4VM3, heiDATA, V1
The addition of sequence data from own‐study individuals to genotypes from external data repositories, for example, the HapMap, has been shown to improve the accuracy of imputed genotypes. Early approaches for reference panel selection favored individuals who best reflect recombi...
Robust logistic regression to narrow down the winner's curse for rare and recessive susceptibility variants [Source Code]
Robust logistic regression to narrow down the winner's curse for rare and recessive susceptibility variants [Source Code]
Oct 15, 2018
Kesselmeier, Miriam; Lorenzo Bermejo, Justo, 2018, "Robust logistic regression to narrow down the winner's curse for rare and recessive susceptibility variants [Source Code]", https://doi.org/10.11588/data/0Z7H1X, heiDATA, V1
Logistic regression is the most common technique used for genetic case-control association studies. A disadvantage of standard maximum likelihood estimators of the genotype relative risk (GRR) is their strong dependence on outlier subjects, for example, patients diagnosed at unus...
Subtypes of Native American ancestry and leading causes of death: Mapuche ancestry-specific associations with gallbladder cancer risk in Chile [Dataset]
Oct 5, 2018
Lorenzo Bermejo, Justo; Boekstegers, Felix; González Silos, Rosa; Marcelain, Katherine; Baez Benavides, Pablo; Barahona Ponce, Carol; Müller, Bettina; Ferreccio, Catterina; Koshiol, Jill; Fischer, Christine; Peil, Barbara; Sinsheimer,Janet; Fuentes Guajardo,Macarena; Barajas, Olga; Gonzalez-Jose, Rolando; Bedoya, Gabriel; Cátira Bortolini, Maria; Canizales-Quinteros,Samuel; Gallo, Carla; Ruiz Linares, Andres; Rothhammer, Francisco, 2018, "Subtypes of Native American ancestry and leading causes of death: Mapuche ancestry-specific associations with gallbladder cancer risk in Chile [Dataset]", https://doi.org/10.11588/data/IDSI88, heiDATA, V1
Latin Americans are highly heterogeneous regarding the type of Native American ancestry. Consideration of specific associations with common diseases may lead to substantial advances in unraveling of disease etiology and disease prevention. Here we investigate possible association...
Calculation of Population attributable fraction Familial relative risk and Statistical power
Oct 5, 2018
Hemminki, Kari; Lorenzo Bermejo, Justo, 2018, "Calculation of Population attributable fraction Familial relative risk and Statistical power", https://doi.org/10.11588/data/1KJEDB, heiDATA, V1
Candidate gene studies have become very popular but some of their implicit constraints, such as the familial risk and the population attributable fraction (PAF) conferred by the gene under study, are poorly understood. We model here these parameters for susceptibility genes in te...
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