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標題: Titlebook: Design, Analysis, and Interpretation of Genome-Wide Association Scans; Daniel O. Stram Book 2014 Springer Science+Business Media New York [打印本頁]

作者: Agitated    時間: 2025-3-21 18:45
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Book 2014enetic causes of disease using unrelated subjects. Particular detail is given to the practical aspects of employing the bioinformatics and data handling methods necessary to prepare data for statistical analysis. The goal in writing this book is to give statisticians, epidemiologists, and students i
作者: 食品室    時間: 2025-3-22 16:49

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作者: esculent    時間: 2025-3-23 01:03
Vampire with a Brain Is a Good ITP Hammerdisplay, by ., of leading principal components that characterize global population structure..Many parts of the broader field of population genetics are entirely ignored here. Notably we do not discuss, except parenthetically, natural selection as a force determining allele frequency distributions w
作者: 異端    時間: 2025-3-23 04:53

作者: 復(fù)習    時間: 2025-3-23 05:37
Frontiers of Computational Sciencetainties in the estimation of the haplotype frequencies that underlie the imputation of haplotypes, the chapter also considers simultaneous maximum likelihood estimation of all parameters (risk estimates and haplotype frequency estimates), so that haplotype uncertainty is formally taken account of i
作者: certain    時間: 2025-3-23 11:49

作者: 出血    時間: 2025-3-23 14:21
Maryam Sultana,In Su Kim,Soon Ki Jungthods discussed in Chap. 4, (3) multi-staged genotyping designs, (4) fine-mapping of associations using multi-marker analyses, (5) power calculations for haplotype analysis and imputed marker analysis, and (7) reuse of existing data for new studies.
作者: 使迷醉    時間: 2025-3-23 19:16
Maryam Sultana,In Su Kim,Soon Ki Jung currently being evaluated for large-scale association studies. The main raison d’être for WGS is to allow for interrogation of rare variation that cannot be measured on GWAS SNP arrays used to date. This chapter covers some of statistical topics related to the assessment of the role of rare variati
作者: 該得    時間: 2025-3-23 22:32
Topics in Quantitative Genetics,display, by ., of leading principal components that characterize global population structure..Many parts of the broader field of population genetics are entirely ignored here. Notably we do not discuss, except parenthetically, natural selection as a force determining allele frequency distributions w
作者: chance    時間: 2025-3-24 02:23

作者: bronchiole    時間: 2025-3-24 08:50
Haplotype Imputation for Association Analysis,tainties in the estimation of the haplotype frequencies that underlie the imputation of haplotypes, the chapter also considers simultaneous maximum likelihood estimation of all parameters (risk estimates and haplotype frequency estimates), so that haplotype uncertainty is formally taken account of i
作者: 邊緣帶來墨水    時間: 2025-3-24 13:10

作者: Junction    時間: 2025-3-24 16:55
Design of Large-Scale Genetic Association Studies, Sample Size, and Power,thods discussed in Chap. 4, (3) multi-staged genotyping designs, (4) fine-mapping of associations using multi-marker analyses, (5) power calculations for haplotype analysis and imputed marker analysis, and (7) reuse of existing data for new studies.
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Topics in Quantitative Genetics,chapter focuses specifically on gaining a basic grounding in three general topics:.In addition to these concepts, several important tools for the investigation of linkage disequilibrium and of population heterogeneity are introduced: specifically data from the HapMap project and data manipulation an
作者: Obliterate    時間: 2025-3-25 18:17
An Introduction to Association Analysis,the phenotype is discrete (disease/no disease) then case–control methods, . and ., are typically utilized. . for generalized linear models is reviewed, and the ., ., and . tests are defined and discussed. The analysis of data from nuclear family-based designs is also briefly introduced. Issues regar
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作者: septicemia    時間: 2025-3-26 00:11
Haplotype Imputation for Association Analysis, a particular study. This chapter first reviews haplotype frequency estimation and .. It gives the details of EM estimation and haplotype imputation for a small number of SNPs using data from unrelated subjects and then considers the extension of this method to larger number of SNPs. The partition-l
作者: 減去    時間: 2025-3-26 07:17
SNP Imputation for Association Studies,s that have been genotyped in a particular study. Imputed SNP analysis is in certain respects identical to haplotype analysis since the imputed SNPs are on specific haplotypes or haplotype combinations. Testing imputed SNPs as well as genotyped SNPs is thus simply a more focused kind of haplotype an
作者: 表兩個    時間: 2025-3-26 10:16

作者: 雜役    時間: 2025-3-26 15:04
Post-GWAS Analyses, one or more GWAS studies of a particular disease have been completed. These analyses include pooled or . used in order to combine results of two or more studies, typically with the help of the of large-scale SNP imputation as discussed in .. Additional analyses include replication of results often
作者: Haphazard    時間: 2025-3-26 16:59
Design, Analysis, and Interpretation of Genome-Wide Association Scans978-1-4614-9443-0Series ISSN 1431-8776 Series E-ISSN 2197-5671
作者: cathartic    時間: 2025-3-27 00:00
https://doi.org/10.1007/978-1-4614-9443-0Biostatistics; GWAS studies; Genetic disease variation; Genome studies; Risk prediction; Statistics in pu
作者: 叫喊    時間: 2025-3-27 02:18
978-1-4939-4952-6Springer Science+Business Media New York 2014
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Statistics for Biology and Healthhttp://image.papertrans.cn/d/image/268802.jpg
作者: 適宜    時間: 2025-3-27 13:44

作者: CAND    時間: 2025-3-27 20:59
Vampire with a Brain Is a Good ITP Hammerchapter focuses specifically on gaining a basic grounding in three general topics:.In addition to these concepts, several important tools for the investigation of linkage disequilibrium and of population heterogeneity are introduced: specifically data from the HapMap project and data manipulation an
作者: Catheter    時間: 2025-3-27 22:47
Pascal Fontaine,Hans-J?rg Schurrthe phenotype is discrete (disease/no disease) then case–control methods, . and ., are typically utilized. . for generalized linear models is reviewed, and the ., ., and . tests are defined and discussed. The analysis of data from nuclear family-based designs is also briefly introduced. Issues regar
作者: 公社    時間: 2025-3-28 03:05

作者: infelicitous    時間: 2025-3-28 10:18
Frontiers of Computational Science a particular study. This chapter first reviews haplotype frequency estimation and .. It gives the details of EM estimation and haplotype imputation for a small number of SNPs using data from unrelated subjects and then considers the extension of this method to larger number of SNPs. The partition-l
作者: Fretful    時間: 2025-3-28 11:32
https://doi.org/10.1007/978-981-15-4818-5s that have been genotyped in a particular study. Imputed SNP analysis is in certain respects identical to haplotype analysis since the imputed SNPs are on specific haplotypes or haplotype combinations. Testing imputed SNPs as well as genotyped SNPs is thus simply a more focused kind of haplotype an
作者: Interferons    時間: 2025-3-28 18:01
Maryam Sultana,In Su Kim,Soon Ki Jungudies of a quantitative phenotype or trait. This chapter starts with a comparison of three different methods for calculating power for the simplest single marker studies and then goes on to consider the general statistical approach to power calculations that are embodied in the very widely used QUAN




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