Literature DB >> 30270085

Clinical utility of the polygenic LDL-C SNP score in familial hypercholesterolemia.

Marta Futema1, Mafalda Bourbon2, Maggie Williams3, Steve E Humphries4.   

Abstract

Mutations in any of three genes (LDLR, APOB and PCSK9) are known to cause autosomal dominant FH, but a mutation can be found in only ∼40% of patients with a clinical diagnosis of FH. In the remainder, a polygenic aetiology may be the cause of the phenotype, due to the co-inheritance of common LDL-C raising variants. In 2013, we reported the development of a 12-SNP LDL-C "SNP-Score" based on common variants identified as LDL-C raising from genome wide association consortium studies, and have confirmed the validity of this score in samples of no-mutation FH adults and children from more than six countries with European-Caucasian populations. In more than 80% of those with a clinical diagnosis of FH but with no detectable mutation in LDLR/APOB/PCSK9, the polygenic explanation is the most likely for their hypercholesterolaemia. Those with a low score (in the bottom two deciles) may have a mutation in a novel gene, and further research including whole exome or whole genome sequencing is warranted. Only in families where the index case has a monogenic cause should cascade testing be carried out, using DNA tests for an unambiguous identification of affected relatives. The clinical utility of the polygenic explanation is that it supports a more conservative (less aggressive) treatment care pathway for those with no mutation. The ability to distinguish those with a clinical diagnosis of FH who have a monogenic or a polygenic cause of their hypercholesterolaemia is a paradigm example of the use of genomic information to inform Precision Medicine using lipid lowering agents with different efficacy and costs.
Copyright © 2018 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Familial hypercholesterolemia; LDL-C SNP-Score; Polygenic hyper-cholesterolemia; Variants of unknown significance (VUS)

Mesh:

Substances:

Year:  2018        PMID: 30270085     DOI: 10.1016/j.atherosclerosis.2018.06.006

Source DB:  PubMed          Journal:  Atherosclerosis        ISSN: 0021-9150            Impact factor:   5.162


  12 in total

Review 1.  Familial hypercholesterolaemia: evolving knowledge for designing adaptive models of care.

Authors:  Gerald F Watts; Samuel S Gidding; Pedro Mata; Jing Pang; David R Sullivan; Shizuya Yamashita; Frederick J Raal; Raul D Santos; Kausik K Ray
Journal:  Nat Rev Cardiol       Date:  2020-01-23       Impact factor: 32.419

2.  Whole genome sequencing reveals a frameshift mutation and a large deletion in YY1AP1 in a girl with a panvascular artery disease.

Authors:  Víctor Raggio; Nicolas Dell'Oca; Camila Simoes; Alejandra Tapié; Conrado Medici; Gonzalo Costa; Soledad Rodriguez; Gonzalo Greif; Estefania Garrone; María Laura Rovella; Virgina Gonzalez; Margarita Halty; Gabriel González; Jong-Yeon Shin; Sang-Yoon Shin; Changhoon Kim; Jeong-Sun Seo; Martin Graña; Hugo Naya; Lucia Spangenberg
Journal:  Hum Genomics       Date:  2021-05-10       Impact factor: 4.639

Review 3.  Molecular diagnosis methods in familial hypercholesterolemia.

Authors:  Valeriu Moldovan; Claudia Banescu; Minodora Dobreanu
Journal:  Anatol J Cardiol       Date:  2020-02       Impact factor: 1.596

4.  Taking One Step Back in Familial Hypercholesterolemia: STAP1 Does Not Alter Plasma LDL (Low-Density Lipoprotein) Cholesterol in Mice and Humans.

Authors:  Natalia Loaiza; Merel L Hartgers; Aldo Grefhorst; Jan Albert Kuivenhoven; Laurens F Reeskamp; Jan-Willem Balder; Antoine Rimbert; Venetia Bazioti; Justina C Wolters; Maaike Winkelmeijer; Hans P G Jansen; Geesje M Dallinga-Thie; Andrea Volta; Nicolette Huijkman; Marieke Smit; Niels Kloosterhuis; Mirjam Koster; Arthur F Svendsen; Bart van de Sluis; G Kees Hovingh
Journal:  Arterioscler Thromb Vasc Biol       Date:  2020-01-30       Impact factor: 8.311

5.  Identification of Target Chicken Populations by Machine Learning Models Using the Minimum Number of SNPs.

Authors:  Dongwon Seo; Sunghyun Cho; Prabuddha Manjula; Nuri Choi; Young-Kuk Kim; Yeong Jun Koh; Seung Hwan Lee; Hyung-Yong Kim; Jun Heon Lee
Journal:  Animals (Basel)       Date:  2021-01-19       Impact factor: 2.752

6.  Management of dyslipidemia in Poland: Interdisciplinary Expert Position Statement endorsed by the Polish Cardiac Society Working Group on Cardiovascular Pharmacotherapy. The Fourth Declaration of Sopot.

Authors:  Filip M Szymański; Agnieszka Mickiewicz; Grzegorz Dzida; Iwona Gorczyca-Głowacka; Dariusz Kozłowski; Krystyna Widecka; Zbigniew Krasiński; Adam Kobayashi; Dagmara Hering; Katarzyna Mizia-Stec; Jarosław D Kasprzak; Tomasz Zubilewicz; Krzysztof Narkiewicz; Marek Koziński; Anna E Płatek; Anna Ryś-Czaporowska; Beata Chełstowska; Stefan Grajek; Marcin Wełnicki; Artur Mamcarz; Marcin Barylski; Beata Wożakowska-Kapłon; Miłosz J Jaguszewski; Marcin Gruchała; Krzysztof J Filipiak
Journal:  Cardiol J       Date:  2021-11-23       Impact factor: 2.737

7.  LDL-C Concentrations and the 12-SNP LDL-C Score for Polygenic Hypercholesterolaemia in Self-Reported South Asian, Black and Caribbean Participants of the UK Biobank.

Authors:  Jasmine Gratton; Chris Finan; Aroon D Hingorani; Steve E Humphries; Marta Futema
Journal:  Front Genet       Date:  2022-03-31       Impact factor: 4.772

Review 8.  High-Sensitivity C-Reactive Protein and Carotid Intima Media Thickness as Markers of Subclinical Inflammation and Atherosclerosis in Pediatric Patients with Hypercholesterolemia.

Authors:  Lana Blinc; Matej Mlinaric; Tadej Battelino; Urh Groselj
Journal:  Molecules       Date:  2020-11-04       Impact factor: 4.411

9.  Case-finding and genetic testing for familial hypercholesterolaemia in primary care.

Authors:  Nadeem Qureshi; Ralph Kwame Akyea; Stephen F Weng; Joe Kai; Brittany Dutton; Steve E Humphries; Hasidah Abdul Hamid; Laura Condon
Journal:  Heart       Date:  2021-09-14       Impact factor: 5.994

10.  A polygenic biomarker to identify patients with severe hypercholesterolemia of polygenic origin.

Authors:  Luis G Leal; Clive Hoggart; Marjo-Riitta Jarvelin; Karl-Heinz Herzig; Michael J E Sternberg; Alessia David
Journal:  Mol Genet Genomic Med       Date:  2020-04-19       Impact factor: 2.183

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.