| 研究生: |
林政翰 Lin, Cheng-Han |
|---|---|
| 論文名稱: |
評估基因體與參考序列的差異對偵測基因變異的影響 Evaluating the impact of deviation of a query genome from reference on variant calling |
| 指導教授: |
劉宗霖
Liu, Tsung-Lin |
| 學位類別: |
碩士 Master |
| 系所名稱: |
生物科學與科技學院 - 生物科技與產業科學系 Department of Biotechnology and Bioindustry Sciences |
| 論文出版年: | 2018 |
| 畢業學年度: | 107 |
| 語文別: | 中文 |
| 論文頁數: | 76 |
| 中文關鍵詞: | 變異檢測 、人類參考基因體 、序列比對 、次世代定序 、精準醫療 、CHM1 |
| 外文關鍵詞: | variant calling, human reference genome, NGS, whole genome alignment, precision medicine, CHM1 |
| 相關次數: | 點閱:130 下載:1 |
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基因檢測是透過將個體的序列資料比對到參考基因體以識別個人基因體中的單核苷酸多態性、插入、缺失及大片段重組之變異。當參考基因體與個人基因體差異較大時,其比對可能會不精準,而導致變異誤判。目前很少有研究在評估參考基因體與個人基因體差異所引起變異誤判的程度。為探討此議題,本研究採用GRCh38基因體當作參考基因體及CHM1作為個人基因體,我們將兩種全基因體做序列比對得到的變異定義為正確的變異。接著利用模擬軟體模擬CHM1的次世代定序資料並比對到參考序列中來偵測變異,偵測到的變異若與正確變異不同即定義為變異誤判。我們發現在全基因體唯一比對的區域中,偵測到的變異與正確變異幾乎相同,但仍然存在數百個變異誤判。在非唯一比對區域中則發現約有兩萬個變異與正確答案不一致。這些變異誤判是由兩種不同的機制(基因片段複製與局部演化偏移)所造成。我們也進一步探討這些變異誤判是否發生於基因之中,發現有近百個基因可能受到誤判的影響。這些結果有助於評估是否建立族群專屬基因體參考序列之必要性。
Variant calling is the process of identifying genetic variants such as single nucleotide polymorphisms, insertions, deletions, and large-scale rearrangements in the genome of an individual via aligning the sequence data against a reference genome. When a query genome differs moderately from the reference, the alignments may not be accurate, resulting in false variants. Currently very few studies assess the extent of false variants caused by difference between a query and the reference genome. Here, we evaluate the extent of false variants stemming from the deviation of a query genome (CHM1) from the reference (GRCh38). Via comparing the two whole genomes, true variants in the query genome were identified. We then simulated next-generation sequencing data from the query genome and called variants via aligning the simulated data against the reference. The called variants were compared to the true variants and the inconsistent variants were examined. Within the unique regions in the genome, most called variants were consistent with the true answers except for about hundreds of false cases. For the non-unique regions, about twenty thousand called variants differed from the true variants. These inconsistent variants could be classified into two categories based on their mechanisms: local duplication and local divergence. We further estimated the functional impact of these false variants and found hundreds of genes could be affected. The results suggest the necessity of establishing a population-specific reference genome for accurate calling of genetic variants.
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