4.6 Article

Pathogenic variants screening in five non-obstructive azoospermia-associated genes

Journal

MOLECULAR HUMAN REPRODUCTION
Volume 20, Issue 2, Pages 178-183

Publisher

OXFORD UNIV PRESS
DOI: 10.1093/molehr/gat071

Keywords

non-obstructive azoospermia; spermatogenic impairment; genetic variants

Funding

  1. National Natural Science Foundation of China [81100461, 30930079]
  2. National Basic Research Program of China (973 Program) [2009CB941703]
  3. Jiangsu Natural Science Foundation [BK2011774]
  4. Postdoctoral Science Foundation [2012T50513, 1101025C]
  5. Priority Academic Program for the Development of Jiangsu Higher Education Institutions (Public Health and Preventive Medicine)

Ask authors/readers for more resources

Non-obstructive azoospermia (NOA) is one of the most severe forms of male infertility and a recent, genome-wide association study (GWAS) has identified four risk loci associated with NOA. However, a large portion of the heritability of NOA has not been well explained by GWAS. By hypothesizing that rare, low-frequency and common genetic variants might point toward a causal relation between candidate genes and NOA, we performed a two-stage study including deep exon sequencing in 96 NOA cases and 96 healthy controls and a replication study in a larger population containing 522 NOA cases and 484 healthy controls. In the solexa sequencing stage, a total of two rare mutations (chr20. 1902132 and chr20. 1902301 in SIRPA), four common mutations (rs1048055 and rs2281807 in SIRPG, rs11046992 and rs146039840 in SOX5) were identified by using next generation sequencing (NGS). In the validation stage, subjects in the NOA group had a significantly decreased frequency of the heterozygous GA genotype in SIRPA (4.23, 22 out of 520) than that in the control group (8.60, 41 out of 477) [odds ratios (OR) 0.47, 95 confidence intervals (CI) 0.280.80] (P 6.00 10(3)). The rs1048055 in SIRPG was associated with a significantly increased risk of spermatogenic impairment, compared with the CC genotype (OR 3.93, 95 CI 1.599.70) (P 3.00 10(3)). Our study provides evidence of independent NOA risk alleles driven by variants in the protein-coding sequence of two of the genes (SIRPA and SIRPG) discovered by GWAS. Further investigation in larger populations and functional characterizations are needed to validate our findings.

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Article Astronomy & Astrophysics

Search for the chiral magnetic effect in Au plus Au collisions at ?sNN=27 GeV with the STAR forward event plane detectors

B. E. Aboona, J. Adam, L. Adamczyk, J. R. Adams, I. Aggarwal, M. M. Aggarwal, Z. Ahammed, D. M. Anderson, E. C. Aschenauer, J. Atchisona, V. Bairathi, W. Baker, J. G. Ball Cap, K. Barish, R. Bellwied, P. Bhagat, A. Bhasin, S. Bhatta, J. Bielciko, J. Bielcikova, J. D. Brandenburg, X. Z. Cai, H. Caines, M. Calderon de la Barca Sanchezi, D. Cebrai, J. Ceskao, I. Chakaberia, P. Chaloupka, B. K. Chan, Z. Chang, D. Chen, J. Chen, J. H. Chen, Z. Chen, J. Cheng, Y. Cheng, S. Choudhury, W. Christie, X. Chu, H. J. Crawford, M. Csanad, G. Dale-Gau, A. Das, M. Daugherity, I. M. Deppnert, A. Dhamija, L. Di Carlobi, L. Didenko, P. Dixitw, X. Dong, J. L. Drachenberg, E. Duckworth, J. C. Dunlop, J. Engelage, G. Eppley, S. Esumi, O. Evdokimovm, A. Ewigleben, O. Eyser, R. Fatemi, S. Fazio, C. J. Feng, Y. Feng, E. Finch, Y. Fisyak, F. A. Flor, C. Fu, C. A. Gagliardi, T. Galatyuk, F. Geurts, N. Ghimire, A. Gibson, K. Gopal, X. Gou, D. Grosnick, A. Gupta, W. Guryn, A. Hamedd, Y. Han, S. Harabasz, M. D. Harastyi, J. W. Harris, H. Harrison, W. He, X. H. He, Y. He, N. Herrmann, L. Holub, C. Hu, Q. Hu, Y. Hu, H. Huang, H. Z. Huangj, S. L. Huang, T. Huang, X. Huang, Y. Huang, Y. Huang, T. J. Humanic, D. Isenhower, M. Isshiki, W. W. Jacobs, A. Jalotra, C. Jena, A. Jentsch, Y. Ji, J. Jia, C. Jin, X. Ju, E. G. Judd, S. Kabana, M. L. Kabir, S. Kagamaster, D. Kalinkin, K. Kang, D. Kapukchyan, K. Kauder, H. W. Ke, D. Keane, M. Kelsey, Y. V. Khyzhniak, D. P. Kikola, B. Kimelman, D. Kincses, I. Kisel, A. Kiselev, A. G. Knospe, H. S. Ko, K. Kosarzewski, L. Kramarik, L. Kumar, S. Kumar, R. Kunnawalkam Elayavalli, R. Lacey, J. M. Landgraf, J. Lauret, A. Lebedev, J. H. Lee, Y. H. Leung, N. Lewis, C. Li, C. Li, W. Li, X. Li, Y. Li, Y. Li, Z. Li, X. Liang, Y. Liang, R. Licenik, T. Lin, M. A. Lisa, C. Liu, F. Liu, H. Liu, H. Liu, L. Liu, T. Liu, X. Liu, Y. Liu, Z. Liu, T. Ljubicic, W. J. Llope, O. Lomicky, S. Longacre, E. Loyd, T. Lu, S. Lukow, F. Luo, L. Ma, R. Ma, Y. G. Ma, N. Magdy, D. Mallick, S. Margetis, C. Markert, H. S. Matis, J. A. Mazer, G. McNamara, K. Mi, S. Mioduszewski, B. Mohanty, I. Mooney, A. Mukherjee, M. I. Nagy, A. S. Nain, J. D. Nam, Md. Nasim, D. Neff, J. M. Nelson, D. B. Nemes, M. Nie, T. Niida, R. Nishitani, T. Nonaka, A. S. Nunes, G. Odyniec, A. Ogawa, S. Oh, K. Okubo, B. S. Page, R. Pak, J. Pan, A. Pandav, A. K. Pandey, T. Pani, A. Paul, B. Pawlik, D. Pawlowska, C. Perkins, J. Pluta, B. R. Pokhrel, M. Posik, T. Protzman, V. Prozorova, N. K. Pruthi, M. Przybycien, J. Putschke, Z. Qin, H. Qiu, A. Quintero, C. Racz, S. K. Radhakrishnan, N. Raha, R. L. Ray, R. Reed, H. G. Ritter, C. W. Robertson, M. Robotkova, M. A. Rosales Aguilar, D. Roy, P. Roy Chowdhury, L. Ruan, A. K. Sahoo, N. R. Sahoo, H. Sako, S. Salur, S. Sato, W. B. Schmidke, N. Schmitz, F. -J. Seck, J. Seger, R. Seto, P. Seyboth, N. Shah, P. V. Shanmuganathan, M. Shao, T. Shao, M. Sharma, N. Sharma, R. Sharma, S. R. Sharma, A. I. Sheikh, D. Y. Shen, K. Shen, S. S. Shi, Y. Shi, Q. Y. Shou, F. Si, J. Singh, S. Singha, P. Sinha, M. J. Skoby, N. Smirnov, Y. Sohngen, Y. Song, B. Srivastava, T. D. S. Stanislaus, M. Stefaniak, D. J. Stewart, B. Stringfellow, Y. Su, A. A. P. Suaide, M. Sumbera, C. Sun, X. Sun, Y. Sun, Y. Sun, B. Surrow, Z. W. Sweger, P. Szymanski, A. Tamis, A. H. Tang, Z. Tang, T. Tarnowsky, J. H. Thomas, A. R. Timmins, D. Tlusty, T. Todoroki, C. A. Tomkiel, S. Trentalange, R. E. Tribble, P. Tribedy, T. Truhlar, B. A. Trzeciak, O. D. Tsai, C. Y. Tsang, Z. Tu, T. Ullrich, D. G. Underwood, I. Upsal, G. Van Buren, J. Vanek, I. Vassiliev, V. Verkest, F. Videbaek, S. A. Voloshin, F. Wang, G. Wang, J. S. Wang, X. Wang, Y. Wang, Y. Wang, Y. Wang, Z. Wang, J. C. Webb, P. C. Weidenkaff, G. D. Westfall, D. Wielanek, H. Wieman, G. Wilks, S. W. Wissink, R. Witt, J. Wu, J. Wu, X. Wu, Y. Wu, B. Xi, Z. G. Xiao, W. Xie, H. Xu, N. Xu, Q. H. Xu, Y. Xu, Y. Xu, Z. Xu, Z. Xu, G. Yan, Z. Yan, C. Yang, Q. Yang, S. Yang, Y. Yang, Z. Ye, Z. Ye, L. Yi, K. Yip, Y. Yu, H. Zbroszczyk, W. Zha, C. Zhang, D. Zhang, J. Zhang, S. Zhang, X. Zhang, Y. Zhang, Y. Zhang, Y. Zhang, Z. J. Zhang, Z. Zhang, Z. Zhang, F. Zhao, J. Zhao, M. Zhao, C. Zhou, J. Zhou, S. Zhou, Y. Zhou, X. Zhu, M. Zurek, M. Zyzak

Summary: This study presents a low-energy search for the Chiral Magnetic Effect (CME) in Au+Au collisions at RHIC and finds consistency between CME and flow-driven background hypothesis based on the definition of event planes and centrality range. This work opens up a possible roadmap for future CME exploration with high-statistics data from RHIC.

PHYSICS LETTERS B (2023)

Article Oncology

Association of modifiable lifestyle with colorectal cancer incidence and mortality according to metabolic status: prospective cohort study

Peng Xie, Siqing Wu, Zichong Kuo, Huidong Tian, Qiangsheng He, Yanfei Li, Ningning Mi, Linmin Hu, Haitong Zhao, Wenjing Li, Bin Xia, Jinqiu Yuan, Kehu Yang, Changhua Zhang, Yulong He

Summary: This study aimed to investigate the individual and joint effects of modifiable healthy lifestyle and metabolic health status on colorectal cancer incidence and mortality. The results showed that adherence to a healthy lifestyle could substantially reduce the burden of colorectal cancer, and behavioral lifestyle changes should be encouraged for colorectal cancer prevention even in participants with metabolic syndrome.

FRONTIERS IN ONCOLOGY (2023)

Article Medicine, General & Internal

How about the evidence assessment tools used in education and management systematic reviews?

Hui Lan, Xuan Yu, Zhe Wang, Ping Wang, Yajia Sun, Zijun Wang, Renfeng Su, Ling Wang, Junxian Zhao, Yue Hu, Shouyuan Wu, Mengjuan Ren, Kehu Yang, Xingrong Liu, Yaolong Chen

Summary: This study aims to examine the usage of evidence assessment tools in systematic reviews of management and education. The results show that only 34.8% of the systematic reviews used evidence assessment tools, with a total of 66 different tools being utilized. "Risk of Bias" and its updated version were the most frequently used tools. The study also highlights the need for improved understanding and reporting of evidence assessment tools among researchers and users.

FRONTIERS IN MEDICINE (2023)

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