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Common and rare variant prediction and penetrance of IBD in a large, multi-ethnic, health system-based biobank cohort

ABSTRACT: Common and rare variant prediction and penetrance of IBD in a large, multi-ethnic, health system-based biobank cohort

PROVIDER: PRJNA632621 | ENA |

REPOSITORIES: ENA

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			Action	DRS
	SRR12566316.fastq.gz	Fastqsanger.gz
	SRR12566317.fastq.gz	Fastqsanger.gz
	SRR12566318.fastq.gz	Fastqsanger.gz
	SRR12566319.fastq.gz	Fastqsanger.gz
	SRR12566320.fastq.gz	Fastqsanger.gz

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Common and rare variant prediction and penetrance of IBD in a large, multi-ethnic, health system-based biobank cohort

Project description:Background and aims: As genome sequencing technologies rapidly expand in capacity and availability, understanding how genetic background in different populations modifies IBD risk will be an important factor in disease prediction, prevention, and treatment. However, most of the datasets that are used to generate polygenic risk scores (PRS) contain predominantly European ancestry patients. To address this, we tested different models for prediction of IBD cases using PRS built using association data from multiple races and also assessed the penetrance of rare very early onset IBD (VEOIBD) SNPs. Methods: PRS were calculated using association data from European, African American, and Ashkenazi Jewish (AJ) studies, as well as a meta-GWAS run using all three association datasets. PRS were then combined using regression modelling to assess which combination of scores was best able to predict IBD status in European, AJ, Hispanic, and African American BioMe Biobank populations. Additionally, rare variants were assessed in genes associated with very early onset IBD, taking into account genetic penetrance in each BioMe population, deleteriousness, and evolutionary conservation. Results: Combining risk scores based on IBD association results from multiple racial populations resulted in improved IBD prediction for every population in BioMe. We also identified highly penetrant rare variants in previously established VEOIBD genes which were predicted to be deleterious, including SNPs in established risk genes such as NOD2 as well as novel variants, including some in LRBA which appear to be particularly relevant for risk of IBD in African Americans.

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Common and Rare Variant Prediction and Penetrance of IBD in a Large, Multi-ethnic, Health System-based Biobank Cohort.

Project description:Background and aimsPolygenic risk scores (PRS) may soon be used to predict inflammatory bowel disease (IBD) risk in prevention efforts. We leveraged exome-sequence and single nucleotide polymorphism (SNP) array data from 29,358 individuals in the multiethnic, randomly ascertained health system-based BioMe biobank to define effects of common and rare IBD variants on disease prediction and pathophysiology.MethodsPRS were calculated from European, African American, and Ashkenazi Jewish (AJ) reference case-control studies, and a meta-GWAS run using all three association datasets. PRS were then combined using regression to assess which combination of scores best predicted IBD status in European, AJ, Hispanic, and African American cohorts in BioMe. Additionally, rare variants were assessed in genes associated with very early-onset IBD (VEO-IBD), by estimating genetic penetrance in each BioMe population.ResultsCombining risk scores based on association data from distinct ancestral populations improved IBD prediction for every population in BioMe and significantly improved prediction among European ancestry UK Biobank individuals. Lower predictive power for non-Europeans was observed, reflecting in part substantially lower African IBD case-control reference sizes. We replicated associations for two VEO-IBD genes, ADAM17 and LRBA, with high dominant model penetrance in BioMe. Autosomal recessive LRBA risk alleles are associated with severe, early-onset autoimmunity; we show that heterozygous carriage of an African-predominant LRBA protein-altering allele is associated with significantly decreased LRBA and CTLA-4 expression with T-cell activation.ConclusionsGreater genetic diversity in African populations improves prediction across populations, and generalizes some VEO-IBD genes. Increasing African American IBD case-collections should be prioritized to reduce health disparities and enhance pathophysiological insight.

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