Nearly 400 types of skeletal malformations, including those that involve the spine, have been characterized by molecular and cellular analyses 1 . Identification of genetic components that control the integrity of intervertebral discs-and that predispose to spinal degeneration in aging patients when mutated-represents a challenging goal. Spinal conditions that occur later in life may emerge from faulty musculoskeletal tissue repair after accidental injury and the influences of comorbidities. The collective stochastic and often undocumented events in the life of a patient can easily complicate attempts at defining genetic predispositions.To manage the statistical noise that comes from random mutations within the human population ("nature") and the randomness of life's events ("nurture"), it is necessary to examine massive genetic data sets with many thousands of patients. Technological advances that allow cost-effective DNA sequencing have made it feasible to compare large patient populations matched on the basis of specific codes for medical conditions. Consequently, several studies have made impressive attempts at defining genetic variations linked to a range of surgically relevant musculoskeletal complications, including degenerative rotator cuff disease 2 , arthroplasty 3 , adhesive capsulitis of the shoulder 4 , and end-stage knee osteoarthritis 5 .The current paper by Bovonratwet et al. at the Hospital for Special Surgery in New York provides the latest installment in a growing set of orthopaedic studies in this journal that investigate the relationship between genetic variations and the risk of surgery for spinal conditions. Similar to prior published efforts by Yanik et al. 2 , Brüggemann et al. 3 , and Kulm et al. 4,5 , the study by Bovonratwet et al. leverages the power of the UK Biobank, which has genetic data for about 400,000 patients, of whom a total of about 20,000 (;5%) had 1 of 4 spinal conditions (i.e., lumbar spondylolisthesis, spinal stenosis, degenerative disc disease, and pseudarthrosis after spinal fusion). Results from this large data set ("training population") were then tested using the FinnGen database ("test population") for validation.The analysis yielded multiple different genetic variants across 7 chromosomes. On average, the authors discovered 2 distinct loci per spinal condition. These findings are consistent with the genetic complexities of spinal conditions and suggest that the diseases are polygenic, as expected. Several nucleotide variants associated with 4 common spinal conditions were located in loci encoding anonymous genes that have not been experimentally explored. Degenerative disc disease was associated with a locus containing 2 genes that affect chondrogenesis: CHST3 (for carbohydrate sulfotransferase 3) promotes sulfation of chondroitin, and SMAD3 is the inducible target of chondrogenic transforming growth factor (TGF)-b signaling. Remarkably, 1 chromosomal region significantly associated with both lumbar spondylolisthesis and spinal stenosis contained overlapping sets...