Journal
GENES
Volume 5, Issue 1, Pages 196-213Publisher
MDPI
DOI: 10.3390/genes5010196
Keywords
association; GWAS; next-generation sequencing; significance; bias; complex traits
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Since the completion of the Human Genome Project, the field of human genetics has been in great flux, largely due to technological advances in studying DNA sequence variation. Although community-wide adoption of statistical standards was key to the success of genome-wide association studies, similar standards have not yet been globally applied to the processing and interpretation of sequencing data. It has proven particularly challenging to pinpoint unequivocally disease variants in sequencing studies of polygenic traits. Here, we comment on a number of factors that may contribute to irreproducible claims of association in scientific literature and discuss possible steps that we can take towards cultural change.
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