Estudos de Associação de todo o Genoma-GWAS

A genome-wide association study (GWAS) is a population-based research method that identifies whether common genetic variations called single nucleotide polymorphisms are associated with specific diseases. Researchers compare DNA samples from two large groups—people with a disease and healthy controls—scanning their genomes for SNPs. If certain SNPs appear more frequently in diseased individuals than healthy ones, those SNPs are associated with the disease.

SNPs identified in GWAS are often associated with disease but may not directly cause it. Instead, these SNPs are frequently part of a haplotype block—a cluster of genetic variants inherited together—that contains the actual causal variant. The associated SNPs serve as genetic markers that help researchers narrow down the chromosomal region containing the true disease-causing mutation.

Chi-square analysis is performed in GWAS to calculate the probability that an allele is associated with disease. This statistical test compares the frequency of specific SNPs between diseased and healthy populations, determining whether the observed differences are statistically significant or due to chance.

GWAS simplifies target gene identification by not requiring researchers to know which specific gene causes a disease phenotype. Instead, it identifies disease-associated SNPs and helps identify at-risk individuals. This approach is faster and more accurate than traditional methods, which are often time-consuming and unreliable in pinpointing disease genes.

GWAS has identified SNPs associated with numerous diseases including myocardial infarction, type 2 diabetes, Parkinson's disease, heart disorders, obesity, Crohn's disease, and prostate cancer. These discoveries have revealed genetic risk factors for common complex diseases affecting millions of people worldwide.

By identifying SNPs associated with specific diseases, GWAS enables researchers to screen populations and identify individuals carrying disease-risk alleles. This genetic information allows for early intervention, personalized medical monitoring, and preventive lifestyle modifications for at-risk individuals before disease symptoms develop.

Haplotype blocks are groups of genetic variants inherited together as a unit. In GWAS, SNPs within haplotype blocks can serve as markers to track down genes responsible for diseases like hemophilia. When researchers identify associated SNPs, they examine the entire haplotype block to locate the causal variant responsible for disease susceptibility.