Literature DB >> 19207019

Family-based genome-wide association studies.

Beben Benyamin1, Peter M Visscher, Allan F McRae.   

Abstract

In the last 2 years, the effort to identify genes affecting common diseases and complex traits has been accelerated through the use of genome-wide association studies (GWAS). The availability of existing large collections of linkage data paved the way for the use of family-based GWAS. Although most published GWAS used population-based designs, family-based designs have played an important role, particularly in replication stages. Family-based designs offer advantages in terms of quality control, the robustness to population stratification and the ability to perform genetic analyses that cannot be achieved using a sample of unrelated individuals, such as testing for the effect of imprinted genes on phenotypes, testing whether a genetic variant is inherited or de novo and combined linkage and association analysis.

Mesh:

Year:  2009        PMID: 19207019     DOI: 10.2217/14622416.10.2.181

Source DB:  PubMed          Journal:  Pharmacogenomics        ISSN: 1462-2416            Impact factor:   2.533


  26 in total

1.  Copy number variation-based polymorphism in a new pseudoautosomal region 3 (PAR3) of a human X-chromosome-transposed region (XTR) in the Y chromosome.

Authors:  Avinash M Veerappa; Prakash Padakannaya; Nallur B Ramachandra
Journal:  Funct Integr Genomics       Date:  2013-05-26       Impact factor: 3.410

2.  A rapid generalized least squares model for a genome-wide quantitative trait association analysis in families.

Authors:  Xiang Li; Saonli Basu; Michael B Miller; William G Iacono; Matt McGue
Journal:  Hum Hered       Date:  2011-04-08       Impact factor: 0.444

3.  Genetics and brain morphology.

Authors:  Lachlan T Strike; Baptiste Couvy-Duchesne; Narelle K Hansell; Gabriel Cuellar-Partida; Sarah E Medland; Margaret J Wright
Journal:  Neuropsychol Rev       Date:  2015-03-14       Impact factor: 7.444

4.  Fine mapping by composite genome-wide association analysis.

Authors:  Joaquim Casellas; Jhon Jacobo Cañas-Álvarez; Marta Fina; Jesús Piedrafita; Alessio Cecchinato
Journal:  Genet Res (Camb)       Date:  2017-06-06       Impact factor: 1.588

5.  Detecting multiple variants associated with disease based on sequencing data of case-parent trios.

Authors:  Chan Wang; Leiming Sun; Haitao Zheng; Yue-Qing Hu
Journal:  J Hum Genet       Date:  2016-06-09       Impact factor: 3.172

6.  Modeling the Dependence Structure in Genome Wide Association Studies of Binary Phenotypes in Family Data.

Authors:  Souvik Seal; Jeffrey A Boatman; Matt McGue; Saonli Basu
Journal:  Behav Genet       Date:  2020-08-17       Impact factor: 2.805

7.  Genome-Wide Association Studies and Meta-Analyses for Congenital Heart Defects.

Authors:  A J Agopian; Elizabeth Goldmuntz; Hakon Hakonarson; Anshuman Sewda; Deanne Taylor; Laura E Mitchell
Journal:  Circ Cardiovasc Genet       Date:  2017-06

8.  Genome wide association studies for milk production traits in Chinese Holstein population.

Authors:  Li Jiang; Jianfeng Liu; Dongxiao Sun; Peipei Ma; Xiangdong Ding; Ying Yu; Qin Zhang
Journal:  PLoS One       Date:  2010-10-27       Impact factor: 3.240

Review 9.  Next Generation Sequencing and Bioinformatics Analysis of Family Genetic Inheritance.

Authors:  Aquillah M Kanzi; James Emmanuel San; Benjamin Chimukangara; Eduan Wilkinson; Maryam Fish; Veron Ramsuran; Tulio de Oliveira
Journal:  Front Genet       Date:  2020-10-23       Impact factor: 4.599

10.  Analysis of FTO gene variants with measures of obesity and glucose homeostasis in the IRAS Family Study.

Authors:  Maria R Wing; Julie Ziegler; Carl D Langefeld; Maggie C Y Ng; Steven M Haffner; Jill M Norris; Mark O Goodarzi; Donald W Bowden
Journal:  Hum Genet       Date:  2009-03-26       Impact factor: 4.132

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