| Title: | A spectrum of recessiveness among Mendelian disease variants in UK Biobank |
| Journal: | American Journal of Human Genetics |
| Published: | 31 May 2022 |
| Pubmed: | https://pubmed.ncbi.nlm.nih.gov/35649421/ |
| DOI: | https://doi.org/10.1016/j.ajhg.2022.05.008 |
| Citations: | 27 (20 in last 2 years) as of 8 Aug 2024 |
Publication 12356
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Abstract
Recent work has found increasing evidence of mitigated, incompletely penetrant phenotypes in heterozygous carriers of recessive Mendelian disease variants. We leveraged whole-exome imputation within the full UK Biobank cohort (n ∼ 500K) to extend such analyses to 3,475 rare variants curated from ClinVar and OMIM. Testing these variants for association with 58 quantitative traits yielded 102 significant associations involving variants previously implicated in 34 different diseases. Notable examples included a POR missense variant implicated in Antley-Bixler syndrome that associated with a 1.76 (SE 0.27) cm increase in height and an ABCA3 missense variant implicated in interstitial lung disease that associated with reduced FEV1/FVC ratio. Association analyses with 1,134 disease traits yielded five additional variant-disease associations. We also observed contrasting levels of recessiveness between two more-common, classical Mendelian diseases. Carriers of cystic fibrosis variants exhibited increased risk of several mitigated disease phenotypes, whereas carriers of spinal muscular atrophy alleles showed no evidence of altered phenotypes. Incomplete penetrance of cystic fibrosis carrier phenotypes did not appear to be mediated by common allelic variation on the functional haplotype. Our results show that many disease-associated recessive variants can produce mitigated phenotypes in heterozygous carriers and motivate further work exploring penetrance mechanisms.</p>
11 Keywords
- Alleles
- Antley-Bixler Syndrome Phenotype
- Cystic Fibrosis
- Databases, Factual
- Genetic Predisposition to Disease
- Humans
- Lung Diseases, Interstitial
- Muscular Atrophy, Spinal
- Penetrance
- Phenotype
- United Kingdom
5 Authors
- Alison R Barton
- Margaux L A Hujoel
- Ronen E Mukamel
- Maxwell A Sherman
- Po-Ru Loh
1 Application
| Application ID | Title |
|---|---|
| 10438 | Application of fast mixed model association and principal component analysis methods |
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