Cargando…
Heterozygosity mapping for human dominant trait variants
Homozygosity mapping is a well‐known technique to identify runs of homozygous variants that are likely to harbor genes responsible for autosomal recessive disease, but a comparable method for autosomal dominant traits has been lacking. We developed an approach to map dominant disease genes based on...
Autores principales: | , , , , , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2019
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6617796/ https://www.ncbi.nlm.nih.gov/pubmed/31018026 http://dx.doi.org/10.1002/humu.23765 |
_version_ | 1783433772431048704 |
---|---|
author | Imai‐Okazaki, Atsuko Li, Yi Horpaopan, Sukanya Riazalhosseini, Yasser Garshasbi, Masoud Mosse, Yael P. Zhang, Di Schrauwen, Isabelle Sharma, Aarushi Fann, Cathy S. J. Leal, Suzanne M. Lathrop, Mark Ott, Jurg |
author_facet | Imai‐Okazaki, Atsuko Li, Yi Horpaopan, Sukanya Riazalhosseini, Yasser Garshasbi, Masoud Mosse, Yael P. Zhang, Di Schrauwen, Isabelle Sharma, Aarushi Fann, Cathy S. J. Leal, Suzanne M. Lathrop, Mark Ott, Jurg |
author_sort | Imai‐Okazaki, Atsuko |
collection | PubMed |
description | Homozygosity mapping is a well‐known technique to identify runs of homozygous variants that are likely to harbor genes responsible for autosomal recessive disease, but a comparable method for autosomal dominant traits has been lacking. We developed an approach to map dominant disease genes based on heterozygosity frequencies of sequence variants in the immediate vicinity of a dominant trait. We demonstrate through theoretical analysis that DNA variants surrounding an inherited dominant disease variant tend to have increased heterozygosity compared with variants elsewhere in the genome. We confirm existence of this phenomenon in sequence data with known dominant pathogenic variants obtained on family members and in unrelated population controls. A computer‐based approach to estimating empirical significance levels associated with our test statistics shows genome‐wide p‐values smaller than 0.05 for many but not all of the individuals carrying a pathogenic variant. |
format | Online Article Text |
id | pubmed-6617796 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-66177962019-07-22 Heterozygosity mapping for human dominant trait variants Imai‐Okazaki, Atsuko Li, Yi Horpaopan, Sukanya Riazalhosseini, Yasser Garshasbi, Masoud Mosse, Yael P. Zhang, Di Schrauwen, Isabelle Sharma, Aarushi Fann, Cathy S. J. Leal, Suzanne M. Lathrop, Mark Ott, Jurg Hum Mutat Methods Homozygosity mapping is a well‐known technique to identify runs of homozygous variants that are likely to harbor genes responsible for autosomal recessive disease, but a comparable method for autosomal dominant traits has been lacking. We developed an approach to map dominant disease genes based on heterozygosity frequencies of sequence variants in the immediate vicinity of a dominant trait. We demonstrate through theoretical analysis that DNA variants surrounding an inherited dominant disease variant tend to have increased heterozygosity compared with variants elsewhere in the genome. We confirm existence of this phenomenon in sequence data with known dominant pathogenic variants obtained on family members and in unrelated population controls. A computer‐based approach to estimating empirical significance levels associated with our test statistics shows genome‐wide p‐values smaller than 0.05 for many but not all of the individuals carrying a pathogenic variant. John Wiley and Sons Inc. 2019-04-24 2019-07 /pmc/articles/PMC6617796/ /pubmed/31018026 http://dx.doi.org/10.1002/humu.23765 Text en © 2019 The Authors. Human Mutation Published by Wiley Periodicals, Inc. This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Methods Imai‐Okazaki, Atsuko Li, Yi Horpaopan, Sukanya Riazalhosseini, Yasser Garshasbi, Masoud Mosse, Yael P. Zhang, Di Schrauwen, Isabelle Sharma, Aarushi Fann, Cathy S. J. Leal, Suzanne M. Lathrop, Mark Ott, Jurg Heterozygosity mapping for human dominant trait variants |
title | Heterozygosity mapping for human dominant trait variants |
title_full | Heterozygosity mapping for human dominant trait variants |
title_fullStr | Heterozygosity mapping for human dominant trait variants |
title_full_unstemmed | Heterozygosity mapping for human dominant trait variants |
title_short | Heterozygosity mapping for human dominant trait variants |
title_sort | heterozygosity mapping for human dominant trait variants |
topic | Methods |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6617796/ https://www.ncbi.nlm.nih.gov/pubmed/31018026 http://dx.doi.org/10.1002/humu.23765 |
work_keys_str_mv | AT imaiokazakiatsuko heterozygositymappingforhumandominanttraitvariants AT liyi heterozygositymappingforhumandominanttraitvariants AT horpaopansukanya heterozygositymappingforhumandominanttraitvariants AT riazalhosseiniyasser heterozygositymappingforhumandominanttraitvariants AT garshasbimasoud heterozygositymappingforhumandominanttraitvariants AT mosseyaelp heterozygositymappingforhumandominanttraitvariants AT zhangdi heterozygositymappingforhumandominanttraitvariants AT schrauwenisabelle heterozygositymappingforhumandominanttraitvariants AT sharmaaarushi heterozygositymappingforhumandominanttraitvariants AT fanncathysj heterozygositymappingforhumandominanttraitvariants AT lealsuzannem heterozygositymappingforhumandominanttraitvariants AT lathropmark heterozygositymappingforhumandominanttraitvariants AT ottjurg heterozygositymappingforhumandominanttraitvariants |