Key result
Genome-wide association studies for heart failure have had limited success, but expanding analyses to improved clinical traits and innovative model systems may improve their utility.
Expanding GWAS analyses to include intermediate phenotypes and novel models may overcome current limitations in understanding the genetics of common heart failure.
No immediate change to HF management; leaves open whether refined traits and models will enhance GWAS utility.
PURPOSE OF REVIEW: In contrast to many other human diseases, the use of genome-wide association studies (GWAS) to identify genes for heart failure (HF) has had limited success. We will discuss the underlying challenges as well as potential new approaches to understanding the genetics of common forms of HF. RECENT FINDINGS: Recent research using intermediate phenotypes, more detailed and quantitative stratification of HF symptoms, founder populations and novel animal models has begun to allow researchers to make headway toward explaining the genetics underlying HF using GWAS techniques. SUMMARY: By expanding analyses of HF to improved clinical traits, additional HF classifications and innovative model systems, the intractability of human HF GWAS should be ameliorated significantly.
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Rau et al. (2015) conducted a review in Heart failure. Genome-wide association studies (GWAS) was evaluated. Genome-wide association studies for heart failure have had limited success, but expanding analyses to improved clinical traits and innovative model systems may improve their utility.
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