• Catherine L Debban, Amirthagowri Ambalavanan, Auyon Ghosh, Zhonglin Li, Kristina L Buschur, Yanlin Ma, Elizabeth George, Carrie Pistenmaa, Alain G Bertoni, Elizabeth C Oelsner, Erin D Michos, Theo J Moraes, David R Jacobs, Stephanie Christenson, Surya P Bhatt, Robert J Kaner, Elinor Simons, Stuart E Turvey, Motahareh Vameghestahbanati, James C Engert, Miranda Kirby, Jean Bourbeau, Wan C Tan, Stacey B Gabriel, Namrata Gupta, Prescott G Woodruff, Padmaja Subbarao, Victor E Ortega, Eugene R Bleecker, Deborah A Meyers, Stephen S Rich, Eric A Hoffman, R Graham Barr, Michael H Cho, Yohan Bossé, Qingling Duan, Ani Manichaikul, and Benjamin M Smith.
• Center for Public Health Genomics, University of Virginia, Charlottesville, Virginia.
• Am. J. Respir. Crit. Care Med. 2024 Dec 15; 210 (12): 142114311421-1431.

AbstractRationale: Dysanapsis refers to a mismatch between airway tree caliber and lung size arising early in life. Dysanapsis assessed by computed tomography (CT) is evident by early adulthood and associated with chronic obstructive pulmonary disease (COPD) risk later in life. Objectives: By examining the genetic factors associated with CT-assessed dysanapsis, we aimed to elucidate its molecular underpinnings and physiological significance across the lifespan. Methods: We performed a genome-wide association study of CT-assessed dysanapsis in 11,951 adults, including individuals from two population-based and two COPD-enriched studies. We applied colocalization analysis to integrate genome-wide association study and gene expression data from whole blood and lung. Genetic variants associated with dysanapsis were combined into a genetic risk score that was applied to examine association with lung function in children from a population-based birth cohort (n = 1,278) and adults from the UKBiobank (n = 369,157). Measurements and Main Results: CT-assessed dysanapsis was associated with genetic variants from 21 independent signals in 19 gene regions, implicating HHIP (hedgehog interacting protein), DSP, and NPNT as potential molecular targets based on colocalization of their expression. A higher dysanapsis genetic risk score was associated with obstructive spirometry among 5-year-old children and among adults in the fifth, sixth, and seventh decades of life. Conclusions: CT-assessed dysanapsis is associated with variation in genes previously implicated in lung development, and dysanapsis genetic risk is associated with obstructive lung function from early life through older adulthood. Dysanapsis may represent an endophenotype link between the genetic variations associated with lung function and COPD.

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