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Using human genetics to discover new therapeutic targets for plasma lipids
Author(s) -
Cohen J. C.
Publication year - 2016
Publication title -
journal of internal medicine
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.625
H-Index - 160
eISSN - 1365-2796
pISSN - 0954-6820
DOI - 10.1111/joim.12521
Subject(s) - medicine , human plasma , genetics , computational biology , bioinformatics , biology , chromatography , chemistry
Genetic variation arises through multiple different alleles that vary in frequency and severity of effect. Mutations that give rise to Mendelian disorders, such as the LDL receptor ( LDLR ) mutations that result in familial hypercholesterolaemia, are efficiently winnowed from the population by purifying selection and are almost inevitably rare. Conversely, alleles that are common in the population (such that homozygotes for the minor allele are present even in modest sample sizes) typically have very modest phenotypic effects. Mutations in the gene for proprotein convertase subtilisin/kexin type 9 ( PCSK 9 ) represent an unusual but informative exception in that they are relatively common but have large effects on phenotype. Loss‐of‐function mutations in PCSK 9 occur in ~2.5% of African Americans and are associated with large reductions in coronary heart disease ( CHD ) risk. The development of agents to inhibit PCSK 9 demonstrates the utility of translating genetics into clinical therapeutics. Attempts to identify genes responsible for hypercholesterolaemia have used traditional linkage analysis, which requires samples collected from multiple families with defects in the same gene, or genome‐wide association, which requires thousands of samples from the population. More recently, whole‐exome sequencing studies have revealed loss‐of‐function mutations in ANGPTL 3 associated with pan‐hypolipidemia, and in APOC 3 that confer protection against CHD . The application of whole‐exome sequencing to large populations or to carefully selected patients can streamline the discovery of causal genetic mutations.