Article ; Online: Deep genotype imputation captures virtually all heritability of autoimmune vitiligo.
2020 Volume 29, Issue 5, Page(s) 859–863
Abstract: Autoimmune vitiligo is a complex disease involving polygenic risk from at least 50 loci previously identified by genome-wide association studies. The objectives of this study were to estimate and compare vitiligo heritability in European-derived patients ...
Abstract | Autoimmune vitiligo is a complex disease involving polygenic risk from at least 50 loci previously identified by genome-wide association studies. The objectives of this study were to estimate and compare vitiligo heritability in European-derived patients using both family-based and 'deep imputation' genotype-based approaches. We estimated family-based heritability (h2FAM) by vitiligo recurrence among a total 8034 first-degree relatives (3776 siblings, 4258 parents or offspring) of 2122 unrelated vitiligo probands. We estimated genotype-based heritability (h2SNP) by deep imputation to Haplotype Reference Consortium and the 1000 Genomes Project data in unrelated 2812 vitiligo cases and 37 079 controls genotyped genome wide, achieving high-quality imputation from markers with minor allele frequency (MAF) as low as 0.0001. Heritability estimated by both approaches was exceedingly high; h2FAM = 0.75-0.83 and h2SNP = 0.78. These estimates are statistically identical, indicating there is essentially no remaining 'missing heritability' for vitiligo. Overall, ~70% of h2SNP is represented by common variants (MAF > 0.01) and 30% by rare variants. These results demonstrate that essentially all vitiligo heritable risk is captured by array-based genotyping and deep imputation. These findings suggest that vitiligo may provide a particularly tractable model for investigation of complex disease genetic architecture and predictive aspects of personalized medicine. |
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MeSH term(s) | Autoimmune Diseases/genetics ; Deep Learning ; Family ; Female ; Gene Frequency ; Genetic Predisposition to Disease ; Genome-Wide Association Study ; Genotype ; Haplotypes ; Humans ; Male ; Multifactorial Inheritance ; Polymorphism, Single Nucleotide ; Risk Factors ; Vitiligo/genetics |
Language | English |
Publishing date | 2020-01-15 |
Publishing country | England |
Document type | Journal Article ; Research Support, N.I.H., Extramural |
ZDB-ID | 1108742-0 |
ISSN | 1460-2083 ; 0964-6906 |
ISSN (online) | 1460-2083 |
ISSN | 0964-6906 |
DOI | 10.1093/hmg/ddaa005 |
Database | MEDical Literature Analysis and Retrieval System OnLINE |
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