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Genome-wide association studies or GWAS are used to identify whether common SNPs are associated with certain diseases. Suppose specific SNPs are more frequently observed in individuals with a particular disease than those without the disease. In that case, those SNPs are said to be associated with the disease. Chi-square analysis is performed to check the probability of the allele likely to be associated with the disease.
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Human genetics provides a profound framework for understanding the interplay between genetic predispositions and human psychology. At the heart of this discipline lies the study of how genes influence physical traits, behaviors, and susceptibility to diseases. Each person carries a unique genetic code that subtly or significantly shapes their psychological and behavioral landscape.
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When more than one gene is responsible for a given phenotype, the trait is considered polygenic. Human height is a polygenic trait. Studies have uncovered hundreds of loci that influence height, and there are believed to be many more. Due to the high number of genes involved, as well as environmental and nutritional factors, height varies significantly within a given population. The distribution of height forms a bell-shaped curve, with relatively few individuals in the population at the...
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Genome-wide association identifies novel ROP risk loci in a multi-ethnic cohort.

Jerome Rotter1, Xiaohui Li2, Leah A Owen3

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This genome-wide association study identified a new genetic locus in the GLI3 gene associated with retinopathy of prematurity (ROP) risk in infants. Findings suggest genetic factors influencing ROP susceptibility may vary by ethnicity.

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Area of Science:

  • Genetics
  • Ophthalmology
  • Pediatrics

Background:

  • Retinopathy of prematurity (ROP) is a leading cause of childhood blindness in at-risk infants.
  • Genetic factors are implicated in ROP development, but large-scale genetic studies are limited.

Approach:

  • A multiethnic genome-wide association study (GWAS) was performed on 920 at-risk infants.
  • Identified genetic loci associated with ROP severity (≥ stage 3) using stringent statistical thresholds.
  • Validated gene relevance through in-silico analyses, genetic risk scores, and human eye tissue expression profiling.

Key Points:

  • Identified 2 loci at genome-wide significance and 7 at suggestive significance for ROP.
  • The most significant locus, rs2058019, is within the GLI3 gene, with association driven by Hispanic and Caucasian infants.
  • GLI3 and other top genes show relevance to ocular disease and retinal biology.

Conclusions:

  • This study reports the largest ROP GWAS to date, identifying a novel GLI3 locus.
  • Findings support genetic susceptibilities for ROP risk, potentially influenced by racial and ethnic variations.
  • The identified locus contributes to understanding the genetic basis of ROP.