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Functional architecture of low-frequency variants highlights strength of negative selection across coding and noncoding annotations
Common variant heritability has been widely reported to be concentrated in variants within cell-type-specific noncoding functional annotations, but little is known about low-frequency variant functional architectures. We partitioned the heritability of both low-frequency (0.5%≤MAF<5%) and common...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6236676/ https://www.ncbi.nlm.nih.gov/pubmed/30297966 http://dx.doi.org/10.1038/s41588-018-0231-8 |
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author | Gazal, Steven Loh, Po-Ru Finucane, Hilary K. Ganna, Andrea Schoech, Armin Sunyaev, Shamil Price, Alkes L. |
author_facet | Gazal, Steven Loh, Po-Ru Finucane, Hilary K. Ganna, Andrea Schoech, Armin Sunyaev, Shamil Price, Alkes L. |
author_sort | Gazal, Steven |
collection | PubMed |
description | Common variant heritability has been widely reported to be concentrated in variants within cell-type-specific noncoding functional annotations, but little is known about low-frequency variant functional architectures. We partitioned the heritability of both low-frequency (0.5%≤MAF<5%) and common (MAF≥5%) variants in 40 UK Biobank traits across a broad set of functional annotations. We determined that non-synonymous coding variants explain 17±1% of low-frequency variant heritability ([Formula: see text] ) versus 2.1±0.2% of common variant heritability ([Formula: see text] ). Cell-type-specific noncoding annotations that were significantly enriched for [Formula: see text] of corresponding traits were similarly enriched for [Formula: see text] for most traits, but more enriched for brain-related annotations and traits. For example, H3K4me3 marks in brain dorsolateral prefrontal cortex explain 57±12% of [Formula: see text] vs. 12±2% of [Formula: see text] for neuroticism. Forward simulations confirmed that low-frequency variant enrichment depends on the mean selection coefficient of causal variants in the annotation, and can be used to predict effect size variance of causal rare variants (MAF<0.5%). |
format | Online Article Text |
id | pubmed-6236676 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
record_format | MEDLINE/PubMed |
spelling | pubmed-62366762019-04-08 Functional architecture of low-frequency variants highlights strength of negative selection across coding and noncoding annotations Gazal, Steven Loh, Po-Ru Finucane, Hilary K. Ganna, Andrea Schoech, Armin Sunyaev, Shamil Price, Alkes L. Nat Genet Article Common variant heritability has been widely reported to be concentrated in variants within cell-type-specific noncoding functional annotations, but little is known about low-frequency variant functional architectures. We partitioned the heritability of both low-frequency (0.5%≤MAF<5%) and common (MAF≥5%) variants in 40 UK Biobank traits across a broad set of functional annotations. We determined that non-synonymous coding variants explain 17±1% of low-frequency variant heritability ([Formula: see text] ) versus 2.1±0.2% of common variant heritability ([Formula: see text] ). Cell-type-specific noncoding annotations that were significantly enriched for [Formula: see text] of corresponding traits were similarly enriched for [Formula: see text] for most traits, but more enriched for brain-related annotations and traits. For example, H3K4me3 marks in brain dorsolateral prefrontal cortex explain 57±12% of [Formula: see text] vs. 12±2% of [Formula: see text] for neuroticism. Forward simulations confirmed that low-frequency variant enrichment depends on the mean selection coefficient of causal variants in the annotation, and can be used to predict effect size variance of causal rare variants (MAF<0.5%). 2018-10-08 2018-11 /pmc/articles/PMC6236676/ /pubmed/30297966 http://dx.doi.org/10.1038/s41588-018-0231-8 Text en Users may view, print, copy, and download text and data-mine the content in such documents, for the purposes of academic research, subject always to the full Conditions of use:http://www.nature.com/authors/editorial_policies/license.html#terms |
spellingShingle | Article Gazal, Steven Loh, Po-Ru Finucane, Hilary K. Ganna, Andrea Schoech, Armin Sunyaev, Shamil Price, Alkes L. Functional architecture of low-frequency variants highlights strength of negative selection across coding and noncoding annotations |
title | Functional architecture of low-frequency variants highlights strength
of negative selection across coding and noncoding annotations |
title_full | Functional architecture of low-frequency variants highlights strength
of negative selection across coding and noncoding annotations |
title_fullStr | Functional architecture of low-frequency variants highlights strength
of negative selection across coding and noncoding annotations |
title_full_unstemmed | Functional architecture of low-frequency variants highlights strength
of negative selection across coding and noncoding annotations |
title_short | Functional architecture of low-frequency variants highlights strength
of negative selection across coding and noncoding annotations |
title_sort | functional architecture of low-frequency variants highlights strength
of negative selection across coding and noncoding annotations |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6236676/ https://www.ncbi.nlm.nih.gov/pubmed/30297966 http://dx.doi.org/10.1038/s41588-018-0231-8 |
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