Novel Approaches to the Analysis of Family Data in Genetic Epidemiology (Record no. 62846)

MARC details
000 -LEADER
fixed length control field 03141naaaa2200373uu 4500
001 - CONTROL NUMBER
control field https://directory.doabooks.org/handle/20.500.12854/54864
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20220220033836.0
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 978-2-88919-932-7
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9782889199327
024 7# - OTHER STANDARD IDENTIFIER
Standard number or code 10.3389/978-2-88919-932-7
Terms of availability doi
041 0# - LANGUAGE CODE
Language code of text/sound track or separate title English
042 ## - AUTHENTICATION CODE
Authentication code dc
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Robert C. Elston
Relationship auth
245 10 - TITLE STATEMENT
Title Novel Approaches to the Analysis of Family Data in Genetic Epidemiology
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Name of publisher, distributor, etc. Frontiers Media SA
Date of publication, distribution, etc. 2016
300 ## - PHYSICAL DESCRIPTION
Extent 1 electronic resource (84 p.)
506 0# - RESTRICTIONS ON ACCESS NOTE
Terms governing access Open Access
Source of term star
Standardized terminology for access restriction Unrestricted online access
520 ## - SUMMARY, ETC.
Summary, etc. 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.
540 ## - TERMS GOVERNING USE AND REPRODUCTION NOTE
Terms governing use and reproduction Creative Commons
Use and reproduction rights https://creativecommons.org/licenses/by/4.0/
Source of term cc
-- https://creativecommons.org/licenses/by/4.0/
546 ## - LANGUAGE NOTE
Language note English
653 ## - INDEX TERM--UNCONTROLLED
Uncontrolled term Regional heritability
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Uncontrolled term prostate cancer
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Uncontrolled term infectious diseases
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Uncontrolled term MCMC
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Uncontrolled term combining studies screening
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Uncontrolled term conditional-logistic linkage
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Uncontrolled term Informatics
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Uncontrolled term autism
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Nathan Morris
Relationship auth
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Jill S. Barnholtz-Sloan
Relationship auth
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Xiangqing Sun
Relationship auth
856 40 - ELECTRONIC LOCATION AND ACCESS
Host name www.oapen.org
Uniform Resource Identifier <a href="http://journal.frontiersin.org/researchtopic/886/novel-approaches-to-the-analysis-of-family-data-in-genetic-epidemiology">http://journal.frontiersin.org/researchtopic/886/novel-approaches-to-the-analysis-of-family-data-in-genetic-epidemiology</a>
Access status 0
Public note DOAB: download the publication
856 40 - ELECTRONIC LOCATION AND ACCESS
Host name www.oapen.org
Uniform Resource Identifier <a href="https://directory.doabooks.org/handle/20.500.12854/54864">https://directory.doabooks.org/handle/20.500.12854/54864</a>
Access status 0
Public note DOAB: description of the publication

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