쉐도잉 연습: Sequence Variant Literature Search Tips and Tricks - 영상으로 영어 말하기 배우기

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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.

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

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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.

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

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

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

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

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

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

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Words of caution when looking at variant -specific literature.

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Although it's good practice as an author to state

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

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

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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.

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Use your common sense.

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

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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.

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

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

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

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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.

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

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

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

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

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

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

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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.

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Thank you.

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이 레슨의 어휘와 말하기 포인트

이 말하기 레슨은 영상 “Sequence Variant Literature Search Tips and Tricks”을(를) 바탕으로 합니다. 가장 자주 반복되는 단어는 다음과 같습니다: variant, search, article, Google, literature. 이 영상에는 섀도잉할 문장 5개와 단어 2136개가 있습니다. 말하는 구간의 길이는 12:34입니다. 화자는 분당 약 170단어로, 일상 대화에 가까운 자연스러운 속도로 말합니다. 영어에서 가장 많이 쓰이는 3,000단어에 속하는 단어가 79%뿐이라 어휘가 어려운 편입니다.

이 영상의 핵심 어휘

영상에 나오는 익혀 둘 만한 단어 15개를 발음, 뜻과 함께 정리했습니다.

단어	발음	뜻
variant 명사	/ˈvæɹi.ənt/	변체, 변종
publication 명사	/ˌpʌblɪˈkeɪʃ(ə)n/	출판, 간행
gene 명사	/d͡ʒiːn/	유전자
database 명사	/ˈdeɪtəˌbeɪs/	데이터베이스
string 명사	/stɹɪŋ/	끈
curator 명사	/kjʊəˈɹeɪtə(ɹ)/	큐레이터
operator 명사	/ˈɑpəˌɹeɪtɚ/	조작자, 오퍼레이터
classification 명사	/ˌklæsɪfɪˈkeɪʃən/	분류
quotation 명사	/kwoʊˈteɪʃn̩/	견적
output 명사	/ˈaʊtpʊt/	출력
comprehensive 형용사	/ˌkɑm.pɹəˈhɛn.sɪv/	포괄적인
sequence 명사	/ˈsiː.kwəns/	순서
explore 동사	/ɪkˈsploɹ/	탐험하다
laboratory 명사	/ˈlæb(ə)ɹəˌtɔɹi/	실험실, 랩
interpretation 명사	/ɪnˌtɜːpɹəˈteɪʃən/	통역

이 영상의 문법

화자가 가장 많이 쓰는 문형을 영상 속 실제 표현과 함께 정리했습니다.

문형	영상 속 표현
수동태 be + 과거분사 — 누가 하는지보다 무슨 일이 일어나는지에 초점	should not be considered · was used · is only contained
현재완료 have/has + 과거분사 — 과거의 일이 지금도 관련이 있을 때	have already done · I've personally found · has previously been published
관계절 who / which + 절 — 사람이나 사물에 대한 추가 정보	LitVar, which is · document, which is · article, which is

주의할 발음

화자는 you'll, we'll, you're 같은 축약형과 약화된 형태를 34번 사용합니다. 들리는 대로 짧게 발음하세요.

“th” 소리: thorough /ˈθʌɹoʊ/, pathogenic /pæθəˈd͡ʒɛnɪk/, pathogenicity /ˌpæθəd͡ʒəˈnɪsɪti/
“sh”와 “zh” 소리: publication /ˌpʌblɪˈkeɪʃ(ə)n/, classification /ˌklæsɪfɪˈkeɪʃən/, quotation /kwoʊˈteɪʃn̩/, interpretation /ɪnˌtɜːpɹəˈteɪʃən/, caution /ˈkɔːʃ(ə)n/
긴 단어 — 강세 위치에 주의: publication /ˌpʌblɪˈkeɪʃ(ə)n/, operator /ˈɑpəˌɹeɪtɚ/, classification /ˌklæsɪfɪˈkeɪʃən/, comprehensive /ˌkɑm.pɹəˈhɛn.sɪv/, laboratory /ˈlæb(ə)ɹəˌtɔɹi/

한국어 화자가 어려워하는 소리:

/f/ — ㅍ(/p/)으로 바꾸지 말고 윗니를 아랫입술에 대기: helpful /ˈhɛlp.fl̩/, classification /ˌklæsɪfɪˈkeɪʃən/, specify /ˈspɛs.əˌfaɪ/, refer /ɹɪˈfɜː/, efficiency /ɪˈfɪʃ.ən.si/
/v/ — ㅂ(/b/)과 구별하기: variant /ˈvæɹi.ənt/, comprehensive /ˌkɑm.pɹəˈhɛn.sɪv/, initiative /ɪˈnɪʃ.ə.tɪv/, investigate /ɪnˈvɛs.tə.ɡeɪt/, overcome /ˌəʊ.vəˈkʌm/
/z/ — ㅈ이 아니라 성대를 울리는 /s/: resource /ɹɪˈzɔːs/, presentation /ˌpɹɛzn̩ˈteɪʃn̩/, phrase /ˈfɹeɪ̯z/, utilize /ˈjuː.tɪ.laɪz/, residue /ˈɹɛzɪduː/

이 영상으로 연습하는 방법

먼저 말하지 않고 영상을 끝까지 듣고 모르는 단어를 적어 둡니다.
0.75배속으로 한 문장씩 섀도잉을 시작하고, 익숙해지면 보통 속도로 돌아갑니다.
자신의 목소리를 녹음해 원본과 비교하고, variant, publication, gene 같은 단어에 특히 주의합니다.

쉐도잉이란? 영어 실력을 빠르게 키우는 과학적 방법

쉐도잉(Shadowing)은 원래 전문 통역사 훈련을 위해 개발된 언어 학습 기법으로, 다언어 학자인 Dr. Alexander Arguelles에 의해 대중화된 방법입니다. 핵심 원리는 간단하지만 매우 강력합니다: 원어민의 영어를 들으면서 1~2초의 짧은 지연으로 즉시 소리 내어 따라 말하는 것——마치 '그림자(shadow)'처럼 화자를 따라가는 것입니다. 문법 공부나 수동적인 청취와 달리, 쉐도잉은 뇌와 입 근육이 동시에 실시간으로 영어를 처리하고 재현하도록 훈련합니다. 연구에 따르면 이 방법은 발음 정확도, 억양, 리듬, 연음, 청취력, 말하기 유창성을 크게 향상시킵니다. IELTS 스피킹 준비와 자연스러운 영어 소통을 원하는 분들에게 특히 효과적입니다.

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쉐도잉 연습: Sequence Variant Literature Search Tips and Tricks - 영상으로 영어 말하기 배우기

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