• 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.
• University of Virginia, Center for Public Health Genomics, Charlottesville, Virginia, United States.
• Am. J. Respir. Crit. Care Med. 2024 Jun 27.

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. Objective 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 (GWAS) 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 GWAS 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 UK Biobank (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, DSP, and NPNT as potential molecular targets based on colocalization of their expression. Higher dysanapsis genetic risk score was associated with obstructive spirometry among 5 year old children and among adults in the 5th, 6th and 7th 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 endo-phenotype link between the genetic variations associated with lung function and COPD.

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