» Articles » PMID: 19207019

Family-based Genome-wide Association Studies

Overview
Specialties Genetics
Pharmacology
Date 2009 Feb 12
PMID 19207019
Citations 31
Authors
Affiliations
Soon will be listed here.
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.

Citing Articles

Using genome-wide associations and host-by-pathogen predictions to identify allelic interactions that control disease resistance.

Hudson O, Brawner J Plant Genome. 2025; 18(1):e70006.

PMID: 39994874 PMC: 11850958. DOI: 10.1002/tpg2.70006.


Gene-by-Environment Interaction in Non-Alcoholic Fatty Liver Disease and Depression: The Role of Hepatic Transaminases.

Manusov E, Diego V, Abrego E, Herklotz K, Almeida M, Mao X Med Res Arch. 2024; 11(9).

PMID: 38698891 PMC: 11064892. DOI: 10.18103/mra.v11i9.4408.


PheWAS-based clustering of Mendelian Randomisation instruments reveals distinct mechanism-specific causal effects between obesity and educational attainment.

Darrous L, Hemani G, Davey Smith G, Kutalik Z Nat Commun. 2024; 15(1):1420.

PMID: 38360877 PMC: 10869347. DOI: 10.1038/s41467-024-45655-8.


Genotype-by-socioeconomic status interaction influences heart disease risk scores and carotid artery thickness in Mexican Americans: the predominant role of education in comparison to household income and socioeconomic index.

Diego V, Manusov E, Mao X, Curran J, Goring H, Almeida M Front Genet. 2023; 14:1132110.

PMID: 37795246 PMC: 10547145. DOI: 10.3389/fgene.2023.1132110.


Genetic Ancestry Estimates within Dutch Family Units and Across Genotyping Arrays: Insights from Empirical Analysis Using Two Estimation Methods.

Beck J, Ahmed T, Finnicum C, Zwinderman K, Ehli E, Boomsma D Genes (Basel). 2023; 14(7).

PMID: 37510400 PMC: 10379078. DOI: 10.3390/genes14071497.