跟读练习: Sequence Variant Literature Search Tips and Tricks - 通过视频学习英语口语

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Hi, my name is Jessica Mester.

I'm a genetic counselor at GeneDx and a member of the ClinGen Education Workgroup.

This presentation will provide a brief introduction into performing a literature search for sequence variant interpretation.

Our time today will focus on three main points relevant to

both bio curators working to classify variants as well as clinicians

might be searching for additional information on a variant picked up in one of their patients.

We'll discuss how to incorporate nomenclature into an effective literature search, what resources to use to find articles,

and we'll also talk about some common speed bumps you may hit during your literature search and ways to overcome them. But first,

let's talk about the purpose of doing a literature search to help us wrap our heads around what we're looking for.

As a biocurator, you're looking for articles that provide evidence for the purpose of applying ACMG criteria.

These include papers describing functional studies or that characterize the potential molecular impact of the variant, as well as clinically focused papers giving patient phenotype,

describing families that provide segregation evidence, or case control studies.

Remember that you're looking for evidence that could either support or refute pathogenicity.

As a clinician, in addition to helping you get a sense for what information about a variant may support a laboratory's classification,

you may also do a literature search to help you understand more about the phenotypic spectrum associated with the disease,

the types of variants associated with the disease, or one specific variant of interest.

Before we begin, I also want to enforce the idea that there is no such thing as the perfect literature search tool.

Using a combination of sources is generally necessary to be thorough and get the job done.

However, there are a few resources

that have already done some of the heavy lifting regarding compiling publications

that describe a specific variant that provide a helpful starting point.

HGMD, the human gene mutation database, has both a professional and a public version that provides variant level data with PubMed IDs and links to articles.

The free version isn't as up - to -date as the paid version.

Also, be aware

that HGMD tends to be very generous with labeling variants seen in any patient with a phenotype as being disease -associated,

but did not classify variants using the ACMG -AMP criteria.

As such, HGMG is best used as a source to help you find literature that may help you classify a variant,

but should not be considered a repository of curated pathogenic variants.

There are also gene -specific databases, many listed at the link provided or you can find via a Google search,

which may have compiled critical literature about a specific gene as well as variant -level evidence.

If you expect to be curating

or investigating a number of variants for a particular gene and a gene -specific database is available,

I highly encourage you to familiarize yourself with this resource

so you can fully understand where they get their information from and how to best utilize it.

Finally, some ClinVar submitters provide citations with PubMed IDs or links to other evidence that support their classification.

However, be cautious, as sometimes they'll link to an article not because it contains information on your variant,

but because it describes a pathogenic variant at the same residue that was used as evidence to support classification.

There are also tools that are working to try and simplify the literature search process.

Two I wanted to highlight are Mastermind, for which ClinGen curators get access to the full version for a few months trial period,

and LitVar, which is an NCBI tool, and other similar tools are in development.

While searching PubMed for articles on a specific variant will find articles where the variant appears in the abstract or title,

often for papers that list a number of variants identified in a population with a specific phenotype, the variant information is only contained within a table,

sometimes just in supplemental data, and wouldn't be picked up on a PubMed search.

As a result, the two tools

that I've personally found to be the most effective for finding variant -specific literature are Google and Google Scholar.

Now, I will say there is a bit of a learning curve with using Google search results, but with time and experience you'll start to recognize

which search hits are worth looking into further and which don't lead you to useful links.

For example, searching ATM variants finds scientific publications as well as local ATM machine locations.

But sometimes you'll find a link that looks really helpful, such as a supplemental table to an article, but the source article isn't clearly specified.

We'll walk through an example of that later in this talk.

Google Scholar is more specific than Google

because it is limited to published academic literature

and tends to be more effective at finding variants listed in a table within the actual paper,

but it may not find you publications where your variant is only in a supplemental table.

When building your search term, you want to include the name of your gene as well as several versions of the variant nomenclature.

I have some specific examples on the next slide, but want to preview a few helpful hints here.

Using quotation marks and the Boolean operators AND and OR can help make sure your search output is comprehensive,

but not so extensive that you're spending hours digging through search hits for a single variant.

Quotation marks help you specifically find an exact match for the text within the marks.

While we hope that publications will stick to defined HGVS nomenclature, sometimes it helps to be a little creative,

especially for older publications, and use genomic position as well as variant nomenclature in your search string.

If your gene has aliases or historic names, including those may help.

You also need to be aware of alternate transcripts or nomenclature that might have been commonly used in addition to HGVS.

Now, I won't belabor this point, as it could certainly merit its own separate talk,

but you might be able to identify alternate transcripts or nomenclature on a laboratory report in ClinVar,

or for biocurators who are curating in the variant curation interface, this information may also appear in the evidence view.

I'll also direct you towards Dr. Marino DeStefano's excellent article

and talks on alternate transcripts on the ClinGen YouTube channel for more information on this topic.

So, here are examples of search strings you might use for specific types of variants.

In addition to quotation marks and the AND or Boolean operators, you'll also see an asterisk here and there.

In search language, this is called a wildcard operator, and will return anything that starts with the preceding text.

Looking at a few examples, you'll see in the first row for the P10 nonsense variant ARG335 -TER,

the CD nomenclature 1003C2T is used without the C that is a part of HGVS nomenclature,

as some articles do not include the CDOT even though they should.

You'll also see two versions of the CDOT nomenclature, one with a space between the nucleotide position and the nucleotide change, and one with no space.

In addition to TER as the HGVS termination for a stop codon, I also included ARCH335 -STOP because,

again, that nomenclature might be used for nonsense variants, particularly in older publications.

And finally, the genomic position of the nucleotide change is included for good measure.

Looking through the other examples, you'll see more of the same.

Each includes nomenclature referring to the nucleotide change, protein change, and genomic position.

Bringing your attention to the in -frame indel row, while the HGVS nomenclature specifies the nucleotides deleted .

An author might have shortened this to say instead to save column space in a table.

Now I want to take you through an example of Google search results for the MYBPC3 frameshift variant in the previous table.

At first, you might think, oh no, I have to review 113 articles?

I promise you, although that looks intimidating, it's actually not that bad.

Trying this out, you'll see that the search output includes multiple links from the same source,

many of which you'll instantly recognize as ClinVar entries for the variant, Nomad links, or other databases you might have already reviewed.

Also note that these searches will pull up articles where your gene is mentioned and your variant is mentioned, but they don't line up.

Many genes were looked at in the study and a variant with the same cDNA nomenclature was found in a different gene.

When you first start learning this process, I do think it's helpful to explore most of the links,

especially on the first few pages of your search result, to familiarize yourself with the kinds of search hits that are returned.

Over time, you'll recognize which search hits are likely to lead you to useful information and really need to be explored.

So using the search string for that MYBPC3 frameshift variant, one of your first Google hits looks really promising and and indeed,

takes you directly to the actual article in PLAS 1 that contains your variant.

This is the best case scenario.

Other links you'll often see are to database entries for your variant in ClinVar, which tends to be at the top of Google search results.

You may also find links to an LOVD entry, which when you click on the link, takes you into LOVD.

Here for this variant, we see there is a reference cited which we'd want to find and review if we hadn't already.

Clicking on this link takes you to the PubMed entry for the article, which you'd hopefully then be able to access to look for your variant.

100

Another possible result of a Google search takes you on a bit of a treasure hunt.

101

This link takes you to a Word document, which is a supplementary table to an article that appears to contain your specific variant.

102

However, the name of the article, year of publication, etc. aren't clearly specified, but clues are given within the name of the word document.

103

Taking these clues to the Genetics in Medicine journal website, journal websites typically have a search tool at the top of the page.

104

Clicking this, let's add our possible author name, Funke, and possible publication date of 2010 to see what we get.

105

And, lo and behold, it looks like we might have a match.

106

And when you look at this article, indeed, it has our variant and the supplemental table matches what we found in Google.

107

This same search phrase in Google Scholar only gives us one article, which is different from the other three we found using Google,

108

but still looks like it might include a patient with our variant and HCM.

109

Words of caution when looking at variant -specific literature.

110

Although it's good practice as an author to state

111

when a patient included in your paper has previously been published elsewhere and then cite that publication,

112

perhaps an author did not realize the patient was already published, resulting in the same patient or family being presented in multiple separate publications.

113

This is important, as seeing a variant in multiple independent probands might lead an expert panel to apply a higher level of phenotype -related evidence.

114

Use your common sense.

115

If the authors between the articles have some overlap, if the same study cohort is being utilized,

116

or if specific clinical details like age diagnosis and phenotype are highly aligned, chances are it's just one family or patient that was reported multiple times.

117

In these situations, it's best to err on the side of caution

118

and take a conservative approach by only counting apparently similar probands or families once.

119

In summary, I hope you come away from this talk knowing

120

that developing literature search skills isn't something that you become highly skilled at overnight, but is a learning process that improves with time and practice.

121

I hope you'll look to available database resources to increase your efficiency,

122

as well as be able to build search strings to perform comprehensive searches using Google and Google Scholar.

123

Finally, always look at the source publication to make sure your variant of interest is present

124

and to understand how the information contained in the article relates to your needs.

125

I hope this has been a useful introduction to literature searches for sequence variant interpretation.

126

Please visit www .clinicalgenome .org for additional educational resources and to learn more about ClinGen initiatives.

127

Our funding sources are listed at the bottom of this slide.

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Please feel free to contact ClinGen by email at ClinGen at clinicalgenome .org with questions or feedback.

129

Thank you.

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本课的词汇与口语要点

这节口语课以视频“Sequence Variant Literature Search Tips and Tricks”为素材。视频中反复出现的词有：variant, search, article, Google, literature。这段视频共有 5 个句子、2136 个单词可供跟读。讲话部分时长为 12:34。说话人语速自然，每分钟约 170 个词，接近日常对话。只有 79% 的单词属于英语最常用的 3,000 词，词汇难度较高。

视频中的重点词汇

视频中 15 个值得学习的单词，附发音和释义：

单词	发音	释义
variant 名词	/ˈvæɹi.ənt/	變體 /变体, 異體 /异体
publication 名词	/ˌpʌblɪˈkeɪʃ(ə)n/	出版, 發表 /发表
gene 名词	/d͡ʒiːn/	基因
database 名词	/ˈdeɪtəˌbeɪs/	數據庫 /数据库
helpful 形容词	/ˈhɛlp.fl̩/	有幫助 /有帮助
string 名词	/stɹɪŋ/	線 /线
curator 名词	/kjʊəˈɹeɪtə(ɹ)/	館長 /馆长, 策展人
operator 名词	/ˈɑpəˌɹeɪtɚ/	話務員 /话务员, 接線員 /接线员
classification 名词	/ˌklæsɪfɪˈkeɪʃən/	分類 /分类
transcript 名词	/ˈtɹæn.skɹɪpt/	副本, 抄本
quotation 名词	/kwoʊˈteɪʃn̩/	報價 /报价
output 名词	/ˈaʊtpʊt/	輸出 /输出
comprehensive 形容词	/ˌkɑm.pɹəˈhɛn.sɪv/	全面的, 綜合的 /综合的
sequence 名词	/ˈsiː.kwəns/	序列, 順序 /顺序
explore 动词	/ɪkˈsploɹ/	探索, 探險 /探险

视频中的语法

说话人最常用的结构，并附上视频中的原话：

结构	视频中的用法
被动语态 be + 过去分词 — 强调发生了什么，而不是谁做的	should not be considered · was used · is only contained
现在完成时 have/has + 过去分词 — 过去发生但与现在仍有关联的事	have already done · I've personally found · has previously been published
定语从句 who / which + 从句 — 补充说明人或事物	LitVar, which is · document, which is · article, which is

需要注意的发音

说话人用了 34 次缩略和弱读形式，例如 you'll, we'll, you're。请按听到的简短形式来说。

“th” 音: thorough /ˈθʌɹoʊ/, pathogenic /pæθəˈd͡ʒɛnɪk/, pathogenicity /ˌpæθəd͡ʒəˈnɪsɪti/
“sh” 和 “zh” 音: publication /ˌpʌblɪˈkeɪʃ(ə)n/, classification /ˌklæsɪfɪˈkeɪʃən/, quotation /kwoʊˈteɪʃn̩/, interpretation /ɪnˌtɜːpɹəˈteɪʃən/, caution /ˈkɔːʃ(ə)n/
长单词——注意重音位置: publication /ˌpʌblɪˈkeɪʃ(ə)n/, operator /ˈɑpəˌɹeɪtɚ/, classification /ˌklæsɪfɪˈkeɪʃən/, comprehensive /ˌkɑm.pɹəˈhɛn.sɪv/, laboratory /ˈlæb(ə)ɹəˌtɔɹi/

中文母语者容易读错的音：

/v/ — 不要读成 /w/，上齿轻触下唇: variant /ˈvæɹi.ənt/, comprehensive /ˌkɑm.pɹəˈhɛn.sɪv/, initiative /ɪˈnɪʃ.ə.tɪv/, investigate /ɪnˈvɛs.tə.ɡeɪt/, overcome /ˌəʊ.vəˈkʌm/
词尾辅音 — 要读清楚，后面不要加元音: variant /ˈvæɹi.ənt/, database /ˈdeɪtəˌbeɪs/, alternate /ˈɔl.tɚ.nət/, transcript /ˈtɹæn.skɹɪpt/, output /ˈaʊtpʊt/
/r/ 和 /l/ 的区别: explore /ɪkˈsploɹ/, laboratory /ˈlæb(ə)ɹəˌtɔɹi/, elsewhere /ˈɛlsˌʍɛɹ/, relate /ɹɪˈleɪt/, molecular /məˈlɛk.jə.ləɹ/

如何用这段视频练习

先完整听一遍视频，不要开口，记下不认识的单词。
先用 0.75 倍速逐句跟读，熟练之后再回到正常速度。
录下自己的声音并与原声对比，特别注意 variant, publication, gene 这类单词。

什么是跟读法？

跟读法 (Shadowing) 是一种有科学依据的语言学习技巧，最初开发用于专业口译员的培训，并由多语言者Alexander Arguelles博士普及。这个方法简单而强大：您在听英语母语原声的同时立即大声重复——就像是一个延迟1-2秒紧跟说话者的影子。与被动听力或语法练习不同，跟读法强迫您的大脑和口腔肌肉同时处理并模仿真实的讲话模式。研究表明它能显着提高发音准确性，语调，节奏，连读，听力理解和口语流利度——使其成为雅思口语备考和真实英语交流最有效的方法之一。

影子跟读法: 阅读完整分步指南 →

跟读练习: Sequence Variant Literature Search Tips and Tricks - 通过视频学习英语口语

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