Literature DB >> 35994124

Hemizygosity can reveal variant pathogenicity on the X-chromosome.

Timothy H Ciesielski1,2,3, Jacquelaine Bartlett1, Sudha K Iyengar1,4,5, Scott M Williams6,7,8.   

Abstract

Pathogenic variants on the X-chromosome can have more severe consequences for hemizygous males, while heterozygote females can avoid severe consequences due to diploidy and the capacity for nonrandom expression. Thus, when an allele is more common in females this could indicate that it increases the probability of early death in the male hemizygous state, which can be considered a measure of pathogenicity. Importantly, large-scale genomic data now makes it possible to compare allele proportions between the sexes. To discover pathogenic variants on the X-chromosome, we analyzed exome data from 125,748 ancestrally diverse participants in the Genome Aggregation Database (gnomAD). After filtering out duplicates and extremely rare variants, 44,606 of the original 348,221 remained for analysis. We divided the proportion of variant alleles in females by the proportion in males for all variant sites, and then placed each variant into one of three a priori categories: (1) Reference (Primarily synonymous and intronic), (2) Unlikely-to-be-tolerated (Primarily missense), and (3) Least-likely-to-be-tolerated (Primarily frameshift). To assess the impact of ploidy, we compared the distribution of these ratios between pseudoautosomal and non-pseudoautosomal regions. In the non-pseudoautosomal regions, mean female-to-male ratios were lowest among Reference (2.40), greater for Unlikely-to-be-tolerated (2.77) and highest for Least-likely-to-be-tolerated (3.28) variants. Corresponding ratios were lower in the pseudoautosomal regions (1.52, 1.57, and 1.68, respectively), with the most extreme ratio being just below 11. Because pathogenic effects in the pseudoautosomal regions should not drive ratio increases, this maximum ratio provides an upper bound for baseline noise. In the non-pseudoautosomal regions, 319 variants had a ratio over 11. In sum, we identified a measure with a dataset specific threshold for identifying pathogenicity in non-pseudoautosomal X-chromosome variants: the female-to-male allele proportion ratio.
© 2022. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.

Entities:  

Year:  2022        PMID: 35994124     DOI: 10.1007/s00439-022-02478-1

Source DB:  PubMed          Journal:  Hum Genet        ISSN: 0340-6717            Impact factor:   5.881


  21 in total

Review 1.  Hearing silence: non-neutral evolution at synonymous sites in mammals.

Authors:  J V Chamary; Joanna L Parmley; Laurence D Hurst
Journal:  Nat Rev Genet       Date:  2006-02       Impact factor: 53.242

Review 2.  Escape Artists of the X Chromosome.

Authors:  Bradley P Balaton; Carolyn J Brown
Journal:  Trends Genet       Date:  2016-04-18       Impact factor: 11.639

3.  Prioritizing genes for X-linked diseases using population exome data.

Authors:  Xiaoyan Ge; Pui-Yan Kwok; Joseph T C Shieh
Journal:  Hum Mol Genet       Date:  2014-09-12       Impact factor: 6.150

4.  The ubiquity of pleiotropy in human disease.

Authors:  Kevin Chesmore; Jacquelaine Bartlett; Scott M Williams
Journal:  Hum Genet       Date:  2017-11-21       Impact factor: 4.132

5.  Inheritance of most X-linked traits is not dominant or recessive, just X-linked.

Authors:  William B Dobyns; Allison Filauro; Brett N Tomson; April S Chan; Allen W Ho; Nicholas T Ting; Jan C Oosterwijk; Carole Ober
Journal:  Am J Med Genet A       Date:  2004-08-30       Impact factor: 2.802

6.  Antagonistic pleiotropy as a widespread mechanism for the maintenance of polymorphic disease alleles.

Authors:  Ashley J R Carter; Andrew Q Nguyen
Journal:  BMC Med Genet       Date:  2011-12-12       Impact factor: 2.103

7.  Diverse convergent evidence in the genetic analysis of complex disease: coordinating omic, informatic, and experimental evidence to better identify and validate risk factors.

Authors:  Sarah A Pendergrass; Marquitta J White; Nuri Kodaman; Timothy H Ciesielski; Rafal S Sobota; Minjun Huang; Jacquelaine Bartlett; Jing Li; Qinxin Pan; Jiang Gui; Scott B Selleck; Christopher I Amos; Marylyn D Ritchie; Jason H Moore; Scott M Williams
Journal:  BioData Min       Date:  2014-06-30       Impact factor: 2.522

8.  Genetic Diversity on the Human X Chromosome Does Not Support a Strict Pseudoautosomal Boundary.

Authors:  Daniel J Cotter; Sarah M Brotman; Melissa A Wilson Sayres
Journal:  Genetics       Date:  2016-03-23       Impact factor: 4.562

9.  Derivation of consensus inactivation status for X-linked genes from genome-wide studies.

Authors:  Bradley P Balaton; Allison M Cotton; Carolyn J Brown
Journal:  Biol Sex Differ       Date:  2015-12-30       Impact factor: 5.027

10.  Annotating pathogenic non-coding variants in genic regions.

Authors:  Sahar Gelfman; Quanli Wang; K Melodi McSweeney; Zhong Ren; Francesca La Carpia; Matt Halvorsen; Kelly Schoch; Fanni Ratzon; Erin L Heinzen; Michael J Boland; Slavé Petrovski; David B Goldstein
Journal:  Nat Commun       Date:  2017-08-09       Impact factor: 14.919

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