4.6 Article

Meta-analysis of sample-level dbGaP data reveals novel shared genetic link between body height and Crohn's disease

期刊

HUMAN GENETICS
卷 140, 期 6, 页码 865-877

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SPRINGER
DOI: 10.1007/s00439-020-02250-3

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资金

  1. National Heart, Lung, And Blood Institute [R01HL125027]
  2. National Human Genome Research Institute [R01HG010649]
  3. National Institute on Drug Abuse [R01DA047045]
  4. National Institute of Diabetes and Digestive and Kidney [U24DK062429, R01DK106593]
  5. National Institute of Environmental Health Sciences [R01ES029212]

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The study identified shared genetic determinants between Crohn's Disease (CD) and height, shedding light on the pathogenesis of the disease. This research demonstrates the value of using individual-level data from dbGaP in exploring shared genetic factors and could potentially impact novel therapies and drug repurposing.
To further explore genetic links between complex traits, we developed a comprehensive framework to harmonize and integrate extensive genotype and phenotype data from the four well-characterized cohorts with the focus on cardiometabolic diseases deposited to the database of Genotypes and Phenotypes (dbGaP). We generated a series of polygenic risk scores (PRS) to investigate pleiotropic effects of loci that confer genetic risk for 19 common diseases and traits on body height, type 2 diabetes (T2D), and myocardial infarction (MI). In a meta-analysis of 20,021 subjects, we identified shared genetic determinants of Crohn's Disease (CD), a type of inflammatory bowel disease, and body height (p = 5.5 x 10(-5)). The association of PRS-CD with height was replicated in UK Biobank (p = 1.1 x 10(-5)) and an independent cohort of 510 CD cases and controls (1.57 cm shorter height per PRS-CD interquartile increase, p = 5.0 x 10(-3) and a 28% reduction in CD risk per interquartile increase in PRS-height, p = 1.1 x 10(-3), with the effect independent of CD diagnosis). A pathway analysis of the variants overlapping between PRS-height and PRS-CD detected significant enrichment of genes from the inflammatory, immune-mediated and growth factor regulation pathways. This finding supports the clinical observation of growth failure in patients with childhood-onset CD and demonstrates the value of using individual-level data from dbGaP in searching for shared genetic determinants. This information can help provide a refined insight into disease pathogenesis and may have major implications for novel therapies and drug repurposing.

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