Developments of sperm recovery prediction system by micro-TESE using next-generation sequencer
| Project/Area Number |
19K22762
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| Research Category |
Grant-in-Aid for Challenging Research (Exploratory)
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| Allocation Type | Multi-year Fund |
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| Review Section |
Medium-sized Section 58:Society medicine, nursing, and related fields
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| Research Institution | The University of Tokushima |
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Principal Investigator |
SATO Youichi 徳島大学, 大学院医歯薬学研究部(薬学域), 教授 (10363160)
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| Project Period (FY) |
2019-06-28 – 2021-03-31
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| Project Status |
Completed (Fiscal Year 2020)
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| Budget Amount *help |
¥6,500,000 (Direct Cost: ¥5,000,000、Indirect Cost: ¥1,500,000)
Fiscal Year 2020: ¥2,990,000 (Direct Cost: ¥2,300,000、Indirect Cost: ¥690,000)
Fiscal Year 2019: ¥3,510,000 (Direct Cost: ¥2,700,000、Indirect Cost: ¥810,000)
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| Keywords | 男性不妊症 / 非閉塞性無精子症 / 次世代シーケンス / micro-TESE / 機械学習 / MD-TESE |
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| Outline of Research at the Start |
MD-TESEによる精子回収予測システムを構築するため、1)全エクソームシーケンスから抽出された変異遺伝子から、精子回収予測システムを構築、2)全エクソームシーケンスデータを用いたデータマイニングにより精子回収予測モデル式の構築を行う。次世代シーケンス解析データを精子が回収できた症例と回収できなかった症例でデータベース化を行い、サポートベクターマシーンや機械学習の手法を用いてモデル化の検討を行うことで、最適なモデル式を構築する。
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| Outline of Final Research Achievements |
The purpose of this study was to develop the sperm recovery prediction system using micro-TESE. Among the variants obtained by whole exome sequence analysis, we investigated variants with an allele frequency of 1% or less that affect protein function, which are not found in healthy subjects. It did not reach the development of sperm recovery prediction system. However, we found a gene variant suggesting a novel sperm recovery predictor. On the other hand, as a result of examining the upper variants obtained from the genome-wide association study, the accuracy rate was the highest when 3 variants on the gene expressed specifically in the testis were used. In the future, it is expected that a more reliable sperm recovery prediction system will be developed by increasing the number of cases.
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| Academic Significance and Societal Importance of the Research Achievements |
ゲノム情報を用いた機械学習はmicro-TESEによる精子回収予測システムの開発に期待できることを示した。少子化対策が焦眉の課題となる現代社会において、妊娠を望んでいる夫婦の6組に1組は不妊で悩んでいる。本研究により構築したmicro-TESEによる精子回収予測システムが応用されれば、精子回収の見込みの無いmicro-TESEの回避につながり、患者の精神的、身体的、経済的負担の軽減が期待される。
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Report
(3 results)
Research Products
(23 results)
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[Journal Article] Genome-wide association study of semen volume, sperm concentration, testis size, and plasma inhibin B levels2020
Author(s)
Youichi Sato, Atsushi Tajima, Misaki Kiguchi, Suzu Kogusuri, Aki Fujii, Takehiro Sato, Shiari Nozawa, Miki Yoshiik, Makiko Naka-Mieno, Kosuke Kojo, Masahiro Uchida, Haruki Tsuchiya, Kazumitu Yamasaki, Issei Imoto, Teruaki Iwamoto
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Journal Title
NAID
Related Report
Peer Reviewed
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