Novel Approaches to the Analysis of Family Data in Genetic Epidemiology
Genome-wide association studies (GWAS) for complex disorders with large case-control populations have been performed on hundreds of traits in more than 1200 published studies (http://www.genome.gov/gwastudies/) but the variants detected by GWAS account for little of the heritability of these traits,...
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| פורמט: | Online |
| שפה: | אנגלית |
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Frontiers Media SA
2021
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| נושאים: | |
| גישה מקוונת: | 18319 |
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| _version_ | 1869515243176067072 |
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| author | Robert C. Elston Nathan Morris Jill S. Barnholtz-Sloan Xiangqing Sun |
| author_browse | Jill S. Barnholtz-Sloan Nathan Morris Robert C. Elston Xiangqing Sun |
| author_facet | Robert C. Elston Nathan Morris Jill S. Barnholtz-Sloan Xiangqing Sun |
| author_sort | Robert C. Elston |
| collection | Directory of Open Access Books |
| description | Genome-wide association studies (GWAS) for complex disorders with large case-control populations have been performed on hundreds of traits in more than 1200 published studies (http://www.genome.gov/gwastudies/) but the variants detected by GWAS account for little of the heritability of these traits, leading to an increasing interest in using family based designs. While GWAS studies are designed to find common variants with low to moderate attributable risks, family based studies are expected to find rare variants with high attributable risk. Because family-based designs can better control both genetic and environmental background, this study design is robust to heterogeneity and population stratification. Moreover, in family-based analysis, the background genetic variation can be modeled to control the residual variance which could increase the power to identify disease associated rare variants. Analysis of families can also help us gain knowledge about disease transmission and inheritance patterns. Although a family-based design has the advantage of being robust to false positives, novel and powerful methods to analyze families in genetic epidemiology continue to be needed, especially for the interaction between genetic and environmental factors associated with disease. Moreover, with the rapid development of sequencing technology, advances in approaches to the design and analysis of sequencing data in families are also greatly needed. The 11 articles in this book all introduce new methodology and, using family data, substantial new findings are presented in the areas of infectious diseases, diabetes, eye traits, autism spectrum disorder and prostate cancer. |
| format | Online |
| id | doab-20.500.12854ir-54864 |
| institution | Directory of Open Access Books |
| language | eng |
| publishDate | 2021 |
| publishDateRange | 2021 |
| publishDateSort | 2021 |
| publisher | Frontiers Media SA |
| publisherStr | Frontiers Media SA |
| record_format | ojs |
| spelling | doab-20.500.12854ir-548642024-04-05T12:34:54Z Novel Approaches to the Analysis of Family Data in Genetic Epidemiology Robert C. Elston Nathan Morris Jill S. Barnholtz-Sloan Xiangqing Sun QH426-470 Q1-390 Regional heritability prostate cancer infectious diseases MCMC combining studies screening conditional-logistic linkage Informatics autism thema EDItEUR::P Mathematics and Science::PS Biology, life sciences::PSA Life sciences: general issues::PSAK Genetics (non-medical) Genome-wide association studies (GWAS) for complex disorders with large case-control populations have been performed on hundreds of traits in more than 1200 published studies (http://www.genome.gov/gwastudies/) but the variants detected by GWAS account for little of the heritability of these traits, leading to an increasing interest in using family based designs. While GWAS studies are designed to find common variants with low to moderate attributable risks, family based studies are expected to find rare variants with high attributable risk. Because family-based designs can better control both genetic and environmental background, this study design is robust to heterogeneity and population stratification. Moreover, in family-based analysis, the background genetic variation can be modeled to control the residual variance which could increase the power to identify disease associated rare variants. Analysis of families can also help us gain knowledge about disease transmission and inheritance patterns. Although a family-based design has the advantage of being robust to false positives, novel and powerful methods to analyze families in genetic epidemiology continue to be needed, especially for the interaction between genetic and environmental factors associated with disease. Moreover, with the rapid development of sequencing technology, advances in approaches to the design and analysis of sequencing data in families are also greatly needed. The 11 articles in this book all introduce new methodology and, using family data, substantial new findings are presented in the areas of infectious diseases, diabetes, eye traits, autism spectrum disorder and prostate cancer. 2021-02-11T21:16:40Z 2021-02-11T21:16:40Z 2016-01-19 14:05:46 2016 book 18319 16648714 9782889199327 https://directory.doabooks.org/handle/20.500.12854/54864 eng Frontiers Research Topics image/jpeg Attribution 4.0 International http://www.frontiersin.org/books/Novel_Approaches_to_the_Analysis_of_Family_Data_in_Genetic_Epidemiology/971#nogo http://journal.frontiersin.org/researchtopic/886/novel-approaches-to-the-analysis-of-family-data-in-genetic-epidemiology Frontiers Media SA 10.3389/978-2-88919-932-7 10.3389/978-2-88919-932-7 bf5ce210-e72e-4860-ba9b-c305640ff3ae 9782889199327 84 open access |
| spellingShingle | QH426-470 Q1-390 Regional heritability prostate cancer infectious diseases MCMC combining studies screening conditional-logistic linkage Informatics autism thema EDItEUR::P Mathematics and Science::PS Biology, life sciences::PSA Life sciences: general issues::PSAK Genetics (non-medical) Robert C. Elston Nathan Morris Jill S. Barnholtz-Sloan Xiangqing Sun Novel Approaches to the Analysis of Family Data in Genetic Epidemiology |
| title | Novel Approaches to the Analysis of Family Data in Genetic Epidemiology |
| title_full | Novel Approaches to the Analysis of Family Data in Genetic Epidemiology |
| title_fullStr | Novel Approaches to the Analysis of Family Data in Genetic Epidemiology |
| title_full_unstemmed | Novel Approaches to the Analysis of Family Data in Genetic Epidemiology |
| title_short | Novel Approaches to the Analysis of Family Data in Genetic Epidemiology |
| title_sort | novel approaches to the analysis of family data in genetic epidemiology |
| topic | QH426-470 Q1-390 Regional heritability prostate cancer infectious diseases MCMC combining studies screening conditional-logistic linkage Informatics autism thema EDItEUR::P Mathematics and Science::PS Biology, life sciences::PSA Life sciences: general issues::PSAK Genetics (non-medical) |
| topic_facet | QH426-470 Q1-390 Regional heritability prostate cancer infectious diseases MCMC combining studies screening conditional-logistic linkage Informatics autism thema EDItEUR::P Mathematics and Science::PS Biology, life sciences::PSA Life sciences: general issues::PSAK Genetics (non-medical) |
| url | 18319 |
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