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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...

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Autores principales: Gazal, Steven, Loh, Po-Ru, Finucane, Hilary K., Ganna, Andrea, Schoech, Armin, Sunyaev, Shamil, Price, Alkes L.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2018
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%).
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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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