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1.
Am J Hum Genet ; 108(11): 2099-2111, 2021 11 04.
Article in English | MEDLINE | ID: mdl-34678161

ABSTRACT

The integration of genomic data into health systems offers opportunities to identify genomic factors underlying the continuum of rare and common disease. We applied a population-scale haplotype association approach based on identity-by-descent (IBD) in a large multi-ethnic biobank to a spectrum of disease outcomes derived from electronic health records (EHRs) and uncovered a risk locus for liver disease. We used genome sequencing and in silico approaches to fine-map the signal to a non-coding variant (c.2784-12T>C) in the gene ABCB4. In vitro analysis confirmed the variant disrupted splicing of the ABCB4 pre-mRNA. Four of five homozygotes had evidence of advanced liver disease, and there was a significant association with liver disease among heterozygotes, suggesting the variant is linked to increased risk of liver disease in an allele dose-dependent manner. Population-level screening revealed the variant to be at a carrier rate of 1.95% in Puerto Rican individuals, likely as the result of a Puerto Rican founder effect. This work demonstrates that integrating EHR and genomic data at a population scale can facilitate strategies for understanding the continuum of genomic risk for common diseases, particularly in populations underrepresented in genomic medicine.


Subject(s)
Delivery of Health Care/organization & administration , Genetic Predisposition to Disease , Liver Diseases/genetics , ATP Binding Cassette Transporter, Subfamily B/genetics , Electronic Health Records , Haplotypes , Heterozygote , Hispanic or Latino/genetics , Homozygote , Humans , Puerto Rico
2.
Elife ; 62017 09 12.
Article in English | MEDLINE | ID: mdl-28895531

ABSTRACT

Achieving confidence in the causality of a disease locus is a complex task that often requires supporting data from both statistical genetics and clinical genomics. Here we describe a combined approach to identify and characterize a genetic disorder that leverages distantly related patients in a health system and population-scale mapping. We utilize genomic data to uncover components of distant pedigrees, in the absence of recorded pedigree information, in the multi-ethnic BioMe biobank in New York City. By linking to medical records, we discover a locus associated with both elevated genetic relatedness and extreme short stature. We link the gene, COL27A1, with a little-known genetic disease, previously thought to be rare and recessive. We demonstrate that disease manifests in both heterozygotes and homozygotes, indicating a common collagen disorder impacting up to 2% of individuals of Puerto Rican ancestry, leading to a better understanding of the continuum of complex and Mendelian disease.


Subject(s)
Collagen Diseases/epidemiology , Collagen Diseases/genetics , Fibrillar Collagens/genetics , Molecular Epidemiology , Pedigree , Adolescent , Adult , Aged , Child , Female , Genotype , Heterozygote , Hispanic or Latino , Homozygote , Humans , Male , Middle Aged , Multigene Family , Musculoskeletal Diseases/epidemiology , Musculoskeletal Diseases/genetics , New York City/epidemiology , New York City/ethnology , Whole Genome Sequencing , Young Adult
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