141,456人の人の変化から定量化された変異の制約スペクトル
Konrad J Karczewski1,2, Laurent C Francioli3,4, Grace Tiao3,4
1Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA. konradk@broadinstitute.org.
Nature
|May 29, 2020
まとめ
大規模なヒトゲノム配列解析により 遺伝子機能に影響する遺伝的変異が明らかになりました このデータは遺伝子の本質を分類し,一般的およびまれな疾患に関連する遺伝子を発見するのに役立ちます.
科学分野:
- 人間遺伝学
- ゲノミクス
- 集団遺伝学
背景:
- 遺伝的変異は 遺伝子の機能と本質性についての洞察を提供します
- 機能喪失の変数は情報提供ですが,エラーと低周波数のために分析することは困難です.
研究 の 目的:
- 変種分析のための大規模なヒト配列データを集約する.
- 高信頼性で予測された機能喪失の変数を特定し,分析する.
- ヒトの遺伝子を無効化への耐性に基づいて分類する.
主な方法:
- ゲノム集積データベース (gnomAD) に125,748のエクソームと15,708のゲノムを集積した.
- 443,769の高信頼性で予測された機能喪失の変種を特定するために,変種をフィルタリングした.
- 遺伝子分類のためのヒトの変異率の改良モデルを開発した.
主要な成果:
- 高い信頼度で機能喪失の変異を 特定した.
- 非活性化に対する耐性に基づいてヒトのタンパク質をコードする遺伝子を分類した.
- モデル生物とヒト細胞のデータを用いて遺伝子分類モデルを検証した.
結論:
- gnomADデータベースは,遺伝子機能を研究するための貴重なリソースを提供します.
- 遺伝子不活性化耐性スペクトルは,病気の遺伝子発見を改善します.
- このアプローチは,一般的な疾患と珍しい疾患の両方に関連した遺伝子を識別する能力を高めます.
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