Genetic association studies have become an important part of our scientific landscape. This commentary discusses some basic scientific issues which should be considered when reporting and evaluating such studies including SNP Discovery, Genotyping and Haplotype Analysis; Population Size, Matching of Cases and Controls, and Population Stratification; Phenotype Definition and Multiple Related Phe...

Genetic pleiotropy refers to the situation in which a single gene influences multiple traits and so it is considered as a major factor that underlies genetic correlation among traits. To identify pleiotropy, an important focus in genome-wide association studies (GWAS) is on finding genetic variants that are simultaneously associated with multiple traits. On the other hand, longitudinal designs ...

introduction: to protect genomes of all organisms from internal and external damages and maintain the genome integrity and the continuity of life, repair system has been developed in all living cells. defects in repair system are responsible for various kinds of disease including cancers and neurodegenerative diseases such as multiple sclerosis (ms). the relationship between various components ...

background: endometriosis influenced by both genetic and environmental factors. associations of glutathione s-transferases (gsts) genes polymorphisms in endometriosis have been investigated by various researchers; however, the results are not consistent.objective: we examined the associations of gstm1 and gstt1 null genotypes and gstp1 313 a/g polymorphisms with endometriosis in an iranian popu...

myocardial infarction (mi) and its major determinant, coronary artery disease (cad), are complex diseases arising from the interaction between several genetic and environmental factors. until recently, the genetic basis of these diseases was poorly understood. genome-wide genetic association studies have afforded a comprehensive insight into the association between genetic variants and diseases...

Although genome-wide association studies (GWASs) have discovered numerous novel genetic variants associated with many complex traits and diseases, those genetic variants typically explain only a small fraction of phenotypic variance. Factors that account for phenotypic variance include environmental factors and gene-by-environment interactions (GEIs). Recently, several studies have conducted ge...

False positives in a Genome-Wide Association Study (GWAS) can be effectively controlled by a fixed effect and random effect Mixed Linear Model (MLM) that incorporates population structure and kinship among individuals to adjust association tests on markers; however, the adjustment also compromises true positives. The modified MLM method, Multiple Loci Linear Mixed Model (MLMM), incorporates mul...