Novel TMEM98, MFRP, PRSS56 variants in a large United States high hyperopia and nanophthalmos cohort.
Novel TMEM98, MFRP, PRSS56 variants in a large United States high hyperopia and nanophthalmos cohort.
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美国一个大型高度远视和小眼球队列中的新型TMEM 98、MFRP、PRSS 56变体。
DOI:
10.1038/s41598-020-76725-8
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发表时间:
2020-11-17
影响因子:
4.6
通讯作者:
Hufnagel RB
中科院分区:
文献类型:
--
作者:
Prasov L;Guan B;Ullah E;Archer SM;Ayres BM;Besirli CG;Wiinikka-Buesser L;Comer GM;Del Monte MA;Elner SG;Garnai SJ;Huryn LA;Johnson K;Kamat SS;Lieu P;Mian SI;Rygiel CA;Serpen JY;Pawar HS;Brooks BP;Moroi SE;Richards JE;Hufnagel RB
Nanophthalmos is a rare condition defined by a small, structurally normal eye with resultant high hyperopia. While six genes have been implicated in this hereditary condition (MFRP, PRSS56, MYRF, TMEM98, CRB1,VMD2/BEST1), the relative contribution of these to nanophthalmos or to less severe high hyperopia (≥ + 5.50 spherical equivalent) has not been fully elucidated. We collected probands and families (n = 56) with high hyperopia or nanophthalmos (≤ 21.0 mm axial length). Of 53 families that passed quality control, plausible genetic diagnoses were identified in 10/53 (18.8%) by high-throughput panel or pooled exome sequencing. These include 1 TMEM98 family (1.9%), 5 MFRP families (9.4%), and 4 PRSS56 families (7.5%), with 4 additional families having single allelic hits in MFRP or PRSS56 (7.5%). A novel deleterious TMEM98 variant (NM_015544.3, c.602G>C, p.(Arg201Pro)) segregated with disease in 4 affected members of a family. Multiple novel missense and frameshift variants in MFRP and PRSS56 were identified. PRSS56 families were more likely to have choroidal folds than other solved families, while MFRP families were more likely to have retinal degeneration. Together, this study defines the prevalence of nanophthalmos gene variants in high hyperopia and nanophthalmos and indicates that a large fraction of cases remain outside of single gene coding sequences.
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影响因子:
1.2
作者:
Fuchs, Josefine;Holm, Kari;Fledelius, Hans C
通讯作者:
Fledelius, Hans C
影响因子:
4.4
作者:
Guo, Congcong;Zhao, Zhenni;Fan, Zhigang
通讯作者:
Fan, Zhigang
影响因子:
3.5
作者:
Bejjani, BA;Stockton, DW;Lupski, JR
通讯作者:
Lupski, JR
DOI:
10.1093/bioinformatics/btv362
发表时间:
2015-10-15
期刊:
Bioinformatics (Oxford, England)
影响因子:
--
作者:
Liu W;Xie Y;Ma J;Luo X;Nie P;Zuo Z;Lahrmann U;Zhao Q;Zheng Y;Zhao Y;Xue Y;Ren J
通讯作者:
Ren J
影响因子:
4.5
作者:
Garnai, Sarah J.;Brinkmeier, Michelle L.;Prasovid, Lev
通讯作者:
Prasovid, Lev