Literature DB >> 22128057

Population-based and family-based designs to analyze rare variants in complex diseases.

Rémi Kazma1, Julia N Bailey.   

Abstract

Genotyping of rare variants on a large scale is now possible using next-generation sequencing. Sample selection is a crucial step in designing the genetic study of a complex disease, and knowledge of the efficiency and limitations of population-based and family-based designs can help researchers make the appropriate choice. The nine contributions to Group 5 of Genetic Analysis Workshop 17 evaluate population-based and family-based designs by comparing the results obtained with various methods applied to the mini-exome simulations. These simulations consisted of 200 replicates composed of unrelated individuals and eight extended pedigrees with genotypes and various phenotypes. The methods tested for association with a population-based and/or a family-based design, tested for linkage with a family-based design, or estimated heritability. We summarize the strengths and weaknesses of both designs. Although population-based designs seem more suitable for detecting the effect of multiple rare variants, family-based designs can potentially enrich the sample in rare variants, for which the effect would be concealed at the population level. However, as of today, the main limitation is still the high cost of next-generation sequencing.
© 2011 Wiley Periodicals, Inc.

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Year:  2011        PMID: 22128057      PMCID: PMC3393851          DOI: 10.1002/gepi.20648

Source DB:  PubMed          Journal:  Genet Epidemiol        ISSN: 0741-0395            Impact factor:   2.135


  37 in total

1.  Pooled association tests for rare variants in exon-resequencing studies.

Authors:  Alkes L Price; Gregory V Kryukov; Paul I W de Bakker; Shaun M Purcell; Jeff Staples; Lee-Jen Wei; Shamil R Sunyaev
Journal:  Am J Hum Genet       Date:  2010-05-13       Impact factor: 11.025

Review 2.  Complex trait mapping in isolated populations: Are specific statistical methods required?

Authors:  Catherine Bourgain; Emmanuelle Génin
Journal:  Eur J Hum Genet       Date:  2005-06       Impact factor: 4.246

3.  Simple association analysis combining data from trios/sibships and unrelated controls.

Authors:  Yi-Hau Chen; Hui-Wen Lin
Journal:  Genet Epidemiol       Date:  2008-09       Impact factor: 2.135

4.  Personal genomes: The case of the missing heritability.

Authors:  Brendan Maher
Journal:  Nature       Date:  2008-11-06       Impact factor: 49.962

5.  Common SNPs explain a large proportion of the heritability for human height.

Authors:  Jian Yang; Beben Benyamin; Brian P McEvoy; Scott Gordon; Anjali K Henders; Dale R Nyholt; Pamela A Madden; Andrew C Heath; Nicholas G Martin; Grant W Montgomery; Michael E Goddard; Peter M Visscher
Journal:  Nat Genet       Date:  2010-06-20       Impact factor: 38.330

6.  A strategy to discover genes that carry multi-allelic or mono-allelic risk for common diseases: a cohort allelic sums test (CAST).

Authors:  Stephan Morgenthaler; William G Thilly
Journal:  Mutat Res       Date:  2006-11-13       Impact factor: 2.433

7.  Genetic Analysis Workshop 17 mini-exome simulation.

Authors:  Laura Almasy; Thomas D Dyer; Juan Manuel Peralta; Jack W Kent; Jac C Charlesworth; Joanne E Curran; John Blangero
Journal:  BMC Proc       Date:  2011-11-29

8.  Estimating heritability using family and unrelated individuals data.

Authors:  Priya B Shetty; Huaizhen Qin; Junghyun Namkung; Robert C Elston; Xiaofeng Zhu
Journal:  BMC Proc       Date:  2011-11-29

9.  A groupwise association test for rare mutations using a weighted sum statistic.

Authors:  Bo Eskerod Madsen; Sharon R Browning
Journal:  PLoS Genet       Date:  2009-02-13       Impact factor: 5.917

10.  An evaluation of statistical approaches to rare variant analysis in genetic association studies.

Authors:  Andrew P Morris; Eleftheria Zeggini
Journal:  Genet Epidemiol       Date:  2010-02       Impact factor: 2.135

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  15 in total

1.  Integrative cancer epidemiology--the next generation.

Authors:  Margaret R Spitz; Neil E Caporaso; Thomas A Sellers
Journal:  Cancer Discov       Date:  2012-12       Impact factor: 39.397

2.  Lessons learned from Genetic Analysis Workshop 17: transitioning from genome-wide association studies to whole-genome statistical genetic analysis.

Authors:  Alexander F Wilson; Andreas Ziegler
Journal:  Genet Epidemiol       Date:  2011       Impact factor: 2.135

3.  GREB1 genetic variants are associated with bone mineral density in Caucasians.

Authors:  Kevin G Hegarty; Frances J Drummond; Mary Daly; Fergus Shanahan; Michael G Molloy
Journal:  J Bone Miner Metab       Date:  2017-03-14       Impact factor: 2.626

Review 4.  Statistical methods for genome-wide and sequencing association studies of complex traits in related samples.

Authors:  Timothy A Thornton
Journal:  Curr Protoc Hum Genet       Date:  2015-01-20

5.  Permutation testing in the presence of polygenic variation.

Authors:  Mark Abney
Journal:  Genet Epidemiol       Date:  2015-03-10       Impact factor: 2.135

6.  Adjusting family relatedness in data-driven burden test of rare variants.

Authors:  Qunyuan Zhang; Lihua Wang; Dan Koboldt; Ingrid B Boreki; Michael A Province
Journal:  Genet Epidemiol       Date:  2014-08-28       Impact factor: 2.135

7.  Robust rare variant association testing for quantitative traits in samples with related individuals.

Authors:  Duo Jiang; Mary Sara McPeek
Journal:  Genet Epidemiol       Date:  2013-11-18       Impact factor: 2.135

8.  Identification of Novel Genomic-Variant Patterns of OR56A5, OR52L1, and CTSD in Retinitis Pigmentosa Patients by Whole-Exome Sequencing.

Authors:  Ting-Yi Lin; Yun-Chia Chang; Yu-Jer Hsiao; Yueh Chien; Ying-Chun Jheng; Jing-Rong Wu; Lo-Jei Ching; De-Kuang Hwang; Chih-Chien Hsu; Tai-Chi Lin; Yu-Bai Chou; Yi-Ming Huang; Shih-Jen Chen; Yi-Ping Yang; Ping-Hsing Tsai
Journal:  Int J Mol Sci       Date:  2021-05-25       Impact factor: 5.923

9.  Identification of New Rare Variants Associated With Familial Autoimmune Thyroid Diseases by Deep Sequencing of Linked Loci.

Authors:  Cheuk Wun Li; Ravi Sachidanandam; Anitha Jayaprakash; Zhengzi Yi; Weijia Zhang; Mihaela Stefan-Lifshitz; Erlinda Concepcion; Yaron Tomer
Journal:  J Clin Endocrinol Metab       Date:  2021-10-21       Impact factor: 6.134

10.  Impact of Population Stratification on Family-Based Association in an Admixed Population.

Authors:  T B Mersha; L Ding; H He; E S Alexander; X Zhang; B G Kurowski; V Pilipenko; L Kottyan; L J Martin; D W Fardo
Journal:  Int J Genomics       Date:  2015-05-04       Impact factor: 2.758

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