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Diverse monogenic subforms of human spermatogenic failure.

Authors :
Nagirnaja L
Lopes AM
Charng WL
Miller B
Stakaitis R
Golubickaite I
Stendahl A
Luan T
Friedrich C
Mahyari E
Fadial E
Kasak L
Vigh-Conrad K
Oud MS
Xavier MJ
Cheers SR
James ER
Guo J
Jenkins TG
Riera-Escamilla A
Barros A
Carvalho F
Fernandes S
Gonçalves J
Gurnett CA
Jørgensen N
Jezek D
Jungheim ES
Kliesch S
McLachlan RI
Omurtag KR
Pilatz A
Sandlow JI
Smith J
Eisenberg ML
Hotaling JM
Jarvi KA
Punab M
Rajpert-De Meyts E
Carrell DT
Krausz C
Laan M
O'Bryan MK
Schlegel PN
Tüttelmann F
Veltman JA
Almstrup K
Aston KI
Conrad DF
Source :
Nature communications [Nat Commun] 2022 Dec 26; Vol. 13 (1), pp. 7953. Date of Electronic Publication: 2022 Dec 26.
Publication Year :
2022

Abstract

Non-obstructive azoospermia (NOA) is the most severe form of male infertility and typically incurable. Defining the genetic basis of NOA has proven challenging, and the most advanced classification of NOA subforms is not based on genetics, but simple description of testis histology. In this study, we exome-sequenced over 1000 clinically diagnosed NOA cases and identified a plausible recessive Mendelian cause in 20%. We find further support for 21 genes in a 2-stage burden test with 2072 cases and 11,587 fertile controls. The disrupted genes are primarily on the autosomes, enriched for undescribed human "knockouts", and, for the most part, have yet to be linked to a Mendelian trait. Integration with single-cell RNA sequencing data shows that azoospermia genes can be grouped into molecular subforms with synchronized expression patterns, and analogs of these subforms exist in mice. This analysis framework identifies groups of genes with known roles in spermatogenesis but also reveals unrecognized subforms, such as a set of genes expressed across mitotic divisions of differentiating spermatogonia. Our findings highlight NOA as an understudied Mendelian disorder and provide a conceptual structure for organizing the complex genetics of male infertility, which may provide a rational basis for disease classification.<br /> (© 2022. The Author(s).)

Details

Language :
English
ISSN :
2041-1723
Volume :
13
Issue :
1
Database :
MEDLINE
Journal :
Nature communications
Publication Type :
Academic Journal
Accession number :
36572685
Full Text :
https://doi.org/10.1038/s41467-022-35661-z