Literature DB >> 31325086

Identification of ROBO1/2 and SCEL as candidate genes in Kallmann syndrome with emerging bioinformatic analysis.

Zuobin Zhu1, Xiaoxiao Han2, Ying Li3, Conghui Han4, Mengqiong Deng5, Yuhao Zhang6, Qing Shen5, Yijuan Cao5,7, Zhenbei Li5,7, Xitao Wang4, Juan Gu5,7, Xiaoyan Liu5,7, Yaru Yang5,7, Qiang Zhang8, Fangfang Hu9,10.   

Abstract

Kallmann syndrome (KS) is a congenital hypogonadotropic hypogonadism that coincides with anosmia or hyposmia. Although this rare genetic disease has a very low incidence, it harbors a complicated genetic heterogeneity, which indicates X-linked, autosomal, and oligogenic inheritance of puberty, sexuality, reproductivity, and olfactory defects. There has been limited elucidation of molecular etiologies completed to date. Here, a chromosome reciprocal translocation (46, XX, t (3; 13) (p13; q22)) was identified in a 27-year-old Chinese female diagnosed with KS. Genome sequencing found an intronic breakpoint of SCEL in chromosome 13 and an intergenic breakpoint between ROBO1 and ROBO2 in chromosome 3. This translocation resulted in the reduced expression levels of these genes. An array-CGH test captured no abnormal genomic copy numbers of clinical significance. The basic features of all known KS-related genes were also reviewed and analyzed for their roles in KS onset with bioinformatic methods. Signal pathway and gene enrichment analysis of KS-related genes suggested that these genes have integrated functions in neuronal migration and differentiation. An interesting chromosome locational pattern of KS-related genes was also discovered. This study provided constructive clues for further investigations into the molecular etiology of KS.

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Year:  2019        PMID: 31325086     DOI: 10.1007/s12020-019-02010-y

Source DB:  PubMed          Journal:  Endocrine        ISSN: 1355-008X            Impact factor:   3.633


  25 in total

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Journal:  Methods Mol Biol       Date:  2016

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Journal:  Genomics       Date:  2000-12-01       Impact factor: 5.736

3.  A genetic basis for functional hypothalamic amenorrhea.

Authors:  Lisa M Caronia; Cecilia Martin; Corrine K Welt; Gerasimos P Sykiotis; Richard Quinton; Apisadaporn Thambundit; Magdalena Avbelj; Sadhana Dhruvakumar; Lacey Plummer; Virginia A Hughes; Stephanie B Seminara; Paul A Boepple; Yisrael Sidis; William F Crowley; Kathryn A Martin; Janet E Hall; Nelly Pitteloud
Journal:  N Engl J Med       Date:  2011-01-20       Impact factor: 91.245

4.  Genetic analyses of roundabout (ROBO) axon guidance receptors in autism.

Authors:  A Anitha; Kazuhiko Nakamura; Kazuo Yamada; Shiro Suda; Ismail Thanseem; Masatsugu Tsujii; Yoshimi Iwayama; Eiji Hattori; Tomoko Toyota; Taishi Miyachi; Yasuhide Iwata; Katsuaki Suzuki; Hideo Matsuzaki; Masayoshi Kawai; Yoshimoto Sekine; Kenji Tsuchiya; Gen-Ichi Sugihara; Yasuomi Ouchi; Toshiro Sugiyama; Keita Koizumi; Haruhiro Higashida; Nori Takei; Takeo Yoshikawa; Norio Mori
Journal:  Am J Med Genet B Neuropsychiatr Genet       Date:  2008-10-05       Impact factor: 3.568

5.  Robo1 and robo2 control the development of the lateral olfactory tract.

Authors:  Coralie Fouquet; Thomas Di Meglio; Le Ma; Takahiko Kawasaki; Hua Long; Tatsumi Hirata; Marc Tessier-Lavigne; Alain Chédotal; Kim T Nguyen-Ba-Charvet
Journal:  J Neurosci       Date:  2007-03-14       Impact factor: 6.167

6.  A framework for variation discovery and genotyping using next-generation DNA sequencing data.

Authors:  Mark A DePristo; Eric Banks; Ryan Poplin; Kiran V Garimella; Jared R Maguire; Christopher Hartl; Anthony A Philippakis; Guillermo del Angel; Manuel A Rivas; Matt Hanna; Aaron McKenna; Tim J Fennell; Andrew M Kernytsky; Andrey Y Sivachenko; Kristian Cibulskis; Stacey B Gabriel; David Altshuler; Mark J Daly
Journal:  Nat Genet       Date:  2011-04-10       Impact factor: 38.330

7.  GeneHancer: genome-wide integration of enhancers and target genes in GeneCards.

Authors:  Simon Fishilevich; Ron Nudel; Noa Rappaport; Rotem Hadar; Inbar Plaschkes; Tsippi Iny Stein; Naomi Rosen; Asher Kohn; Michal Twik; Marilyn Safran; Doron Lancet; Dana Cohen
Journal:  Database (Oxford)       Date:  2017-01-01       Impact factor: 3.451

8.  Bioinformatics Analysis Identifies p53 as a Candidate Prognostic Biomarker for Neuropathic Pain.

Authors:  Yibo Gao; Na Sun; Lieju Wang; Ying Wu; Longfei Ma; Juncong Hong; Jinxuan Ren; Bin Zhu; Lina Yu; Min Yan
Journal:  Front Genet       Date:  2018-08-31       Impact factor: 4.599

9.  Reactome diagram viewer: data structures and strategies to boost performance.

Authors:  Antonio Fabregat; Konstantinos Sidiropoulos; Guilherme Viteri; Pablo Marin-Garcia; Peipei Ping; Lincoln Stein; Peter D'Eustachio; Henning Hermjakob
Journal:  Bioinformatics       Date:  2018-04-01       Impact factor: 6.937

10.  Trimmomatic: a flexible trimmer for Illumina sequence data.

Authors:  Anthony M Bolger; Marc Lohse; Bjoern Usadel
Journal:  Bioinformatics       Date:  2014-04-01       Impact factor: 6.937

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  1 in total

1.  Correlation Analysis of Genotypes and Phenotypes in Chinese Male Pediatric Patients With Congenital Hypogonadotropic Hypogonadism.

Authors:  Yi Wang; Miao Qin; Lijun Fan; Chunxiu Gong
Journal:  Front Endocrinol (Lausanne)       Date:  2022-05-20       Impact factor: 6.055

  1 in total

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