title: Getting beyond the notion of genes in reproductive medicine.
abstract: As we sink ever more deeply into the realm of bioinformatics, looking beyond traditional genetics becomes a welcomed imperative for those seeking insights into the fundamental complexities that underscore our successes and failures when it comes to human reproduction.
authors.affiliation: 3088 Kansas Life Science Innovations Center, Kansas City, KS, USA, dalbertini@kumc.edu.
authors.forename: David F
authors.initials: DF
authors.lastname: Albertini
mesh_terms: D019295:Computational Biology / Q000379:methods*; D005260:Female; D015894:Genome, Human; D055106:Genome-Wide Association Study; D006801:Humans; D008297:Male; D018456:Reproductive Medicine; D013094:Spermatozoa / Q000166:cytology