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DOI 10.1161/circgen.120.003300

Медицинская библиотека · Circulation. Genomic and precision medicine · 2021

Rare Coding Variants Associated With Electrocardiographic Intervals Identify Monogenic Arrhythmia Susceptibility Genes: A Multi-Ancestry Analysis.

Choi Seung Hoan, Jurgens Sean J, Haggerty Christopher M, Hall Amelia W, Halford Jennifer L, Morrill Valerie N, Weng Lu-Chen, Lagerman Braxton, Mirshahi Tooraj, Pettinger Mary, Guo Xiuqing, Lin Henry J, Alonso Alvaro, Soliman Elsayed Z, Kornej Jelena, Lin Honghuang, Moscati Arden, Nadkarni Girish N, Brody Jennifer A, Wiggins Kerri L, Cade Brian E, Lee Jiwon, Austin-Tse Christina, Blackwell Tom, Chaffin Mark D, Lee Christina J-Y, Rehm Heidi L, Roselli Carolina, Regeneron Genetics Center, Redline Susan, Mitchell Braxton D, Sotoodehnia Nona, Psaty Bruce M, Heckbert Susan R, Loos Ruth J F, Vasan Ramachandran S, Benjamin Emelia J, Correa Adolfo, Boerwinkle Eric, Arking Dan E, Rotter Jerome I, Rich Stephen S, Whitsel Eric A, Perez Marco, Kooperberg Charles, Fornwalt Brandon K, Lunetta Kathryn L, Ellinor Patrick T, Lubitz Steven A, NHLBI Trans-Omics for Precision Medicine (TOPMed) Consortium

СтатьяПоддержка NIH: внешняя программаПоддержка исследования: вне правительства СШАПоддержка службы здравоохранения СШАПеревод в очереди

Аннотация

BACKGROUND

Alterations in electrocardiographic (ECG) intervals are well-known markers for arrhythmia and sudden cardiac death (SCD) risk. While the genetics of arrhythmia syndromes have been studied, relations between electrocardiographic intervals and rare genetic variation at a population level are poorly understood.

METHODS

Using a discovery sample of 29 000 individuals with whole-genome sequencing from Trans-Omics in Precision Medicine and replication in nearly 100 000 with whole-exome sequencing from the UK Biobank and MyCode, we examined associations between low-frequency and rare coding variants with 5 routinely measured electrocardiographic traits (RR, P-wave, PR, and QRS intervals and corrected QT interval).

RESULTS

We found that rare variants associated with population-based electrocardiographic intervals identify established monogenic SCD genes (KCNQ1, KCNH2, and SCN5A), a controversial monogenic SCD gene (KCNE1), and novel genes (PAM and MFGE8) involved in cardiac conduction. Loss-of-function and pathogenic SCN5A variants, carried by 0.1% of individuals, were associated with a nearly 6-fold increased odds of the first-degree atrioventricular block (P=8.4×10-5). Similar variants in KCNQ1 and KCNH2 (0.2% of individuals) were associated with a 23-fold increased odds of marked corrected QT interval prolongation (P=4×10-25), a marker of SCD risk. Incomplete penetrance of such deleterious variation was common as over 70% of carriers had normal electrocardiographic intervals.

CONCLUSIONS

Our findings indicate that large-scale high-depth sequence data and electrocardiographic analysis identifies monogenic arrhythmia susceptibility genes and rare variants with large effects. Known pathogenic variation in conventional arrhythmia and SCD genes exhibited incomplete penetrance and accounted for only a small fraction of marked electrocardiographic interval prolongation.

Для цитирования: Choi Seung Hoan, Jurgens Sean J, Haggerty Christopher M, Hall Amelia W, Halford Jennifer L, Morrill Valerie N, Weng Lu-Chen, Lagerman Braxton, Mirshahi Tooraj, Pettinger Mary, Guo Xiuqing, Lin Henry J, Alonso Alvaro, Soliman Elsayed Z, Kornej Jelena, Lin Honghuang, Moscati Arden, Nadkarni Girish N, Brody Jennifer A, Wiggins Kerri L, Cade Brian E, Lee Jiwon, Austin-Tse Christina, Blackwell Tom, Chaffin Mark D, Lee Christina J-Y, Rehm Heidi L, Roselli Carolina, Regeneron Genetics Center, Redline Susan, Mitchell Braxton D, Sotoodehnia Nona, Psaty Bruce M, Heckbert Susan R, Loos Ruth J F, Vasan Ramachandran S, Benjamin Emelia J, Correa Adolfo, Boerwinkle Eric, Arking Dan E, Rotter Jerome I, Rich Stephen S, Whitsel Eric A, Perez Marco, Kooperberg Charles, Fornwalt Brandon K, Lunetta Kathryn L, Ellinor Patrick T, Lubitz Steven A, NHLBI Trans-Omics for Precision Medicine (TOPMed) Consortium. Rare Coding Variants Associated With Electrocardiographic Intervals Identify Monogenic Arrhythmia Susceptibility Genes: A Multi-Ancestry Analysis.. Circulation. Genomic and precision medicine. 2021. DOI: 10.1161/circgen.120.003300.

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