Literature DB >> 15454942

The use of pedigree, sib-pair and association studies of common diseases for genetic mapping and epidemiology.

Nelson Freimer1, Chiara Sabatti.   

Abstract

Efforts to identify gene variants associated with susceptibility to common diseases use three approaches: pedigree and affected sib-pair linkage studies and association studies of population samples. The different aims of these study designs reflect their derivation from biological versus epidemiological traditions. Similar principles regarding determination of the evidence levels required to consider the results statistically significant apply to both linkage and association studies, however. Such determination requires explicit attention to the prior probability of particular findings, as well as appropriate correction for multiple comparisons. For most common diseases, increasing the sample size in a study is a crucial step in achieving statistically significant genetic mapping results. Recent studies suggest that the technology and statistical methodology will soon be available to make well-powered studies feasible using any of these approaches.

Mesh:

Year:  2004        PMID: 15454942     DOI: 10.1038/ng1433

Source DB:  PubMed          Journal:  Nat Genet        ISSN: 1061-4036            Impact factor:   38.330


  56 in total

Review 1.  Linkage analysis in the next-generation sequencing era.

Authors:  Joan E Bailey-Wilson; Alexander F Wilson
Journal:  Hum Hered       Date:  2011-12-23       Impact factor: 0.444

2.  A comparison of linkage disequilibrium patterns and estimated population recombination rates across multiple populations.

Authors:  David M Evans; Lon R Cardon
Journal:  Am J Hum Genet       Date:  2005-02-17       Impact factor: 11.025

Review 3.  Reliability of statistical associations between genes and disease.

Authors:  Kenneth F Manly
Journal:  Immunogenetics       Date:  2005-09-29       Impact factor: 2.846

4.  Accurate haplotype inference for multiple linked single-nucleotide polymorphisms using sibship data.

Authors:  Peng-Yuan Liu; Yan Lu; Hong-Wen Deng
Journal:  Genetics       Date:  2006-06-18       Impact factor: 4.562

5.  Nonlinear tests for genomewide association studies.

Authors:  Jinying Zhao; Li Jin; Momiao Xiong
Journal:  Genetics       Date:  2006-07-02       Impact factor: 4.562

Review 6.  Molecular genetic studies of gene identification for osteoporosis: a 2004 update.

Authors:  Yong-Jun Liu; Hui Shen; Peng Xiao; Dong-Hai Xiong; Li-Hua Li; Robert R Recker; Hong-Wen Deng
Journal:  J Bone Miner Res       Date:  2006-10       Impact factor: 6.741

7.  Genome scan for Tourette disorder in affected-sibling-pair and multigenerational families.

Authors: 
Journal:  Am J Hum Genet       Date:  2007-02       Impact factor: 11.025

8.  An entropy-based genome-wide transmission/disequilibrium test.

Authors:  Jinying Zhao; Eric Boerwinkle; Momiao Xiong
Journal:  Hum Genet       Date:  2007-02-13       Impact factor: 4.132

9.  Useful probability considerations in genetics: the goat problem with tigers and other applications of Bayes' theorem.

Authors:  Konrad Oexle
Journal:  Eur J Pediatr       Date:  2006-02-07       Impact factor: 3.183

Review 10.  Genome-wide association studies: progress and potential for drug discovery and development.

Authors:  Stephen F Kingsmore; Ingrid E Lindquist; Joann Mudge; Damian D Gessler; William D Beavis
Journal:  Nat Rev Drug Discov       Date:  2008-03       Impact factor: 84.694

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.