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

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 (...

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Published inHuman genetics Vol. 140; no. 6; pp. 865 - 877
Main Authors Di Narzo, Antonio, Frades, Itziar, Crane, Heidi M., Crane, Paul K., Hulot, Jean-Sebastian, Kasarskis, Andrew, Hart, Amy, Argmann, Carmen, Dubinsky, Marla, Peter, Inga, Hao, Ke
Format Journal Article
LanguageEnglish
Published Berlin/Heidelberg Springer Berlin Heidelberg 01.06.2021
Springer
Springer Nature B.V
Springer Verlag
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ISSN0340-6717
1432-1203
1432-1203
DOI10.1007/s00439-020-02250-3

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Summary: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 × 10 –5 ). The association of PRS-CD with height was replicated in UK Biobank ( p  = 1.1 × 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 × 10 −3 and a 28% reduction in CD risk per interquartile increase in PRS-height, p  = 1.1 × 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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PMCID: PMC8102349
KH, IP - conceptualization. KH, IP, IF, HMC, PKC, JSH – data curation. KH, IP, IF, HMC, PKC, JSH, MD – investigation. ADN, KH – methodology and formal analysis. AK, AH, CA – validation and resources. IP, KH, MD – supervision. ADN, IP, KH – original draft preparation. IF, HMC, PKC, JSH, AK, AH, CA, MD – review and editing.
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ISSN:0340-6717
1432-1203
1432-1203
DOI:10.1007/s00439-020-02250-3