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. 2015 Feb 5;518(7537):102-6.
doi: 10.1038/nature13917. Epub 2014 Dec 10.

Exome sequencing identifies rare LDLR and APOA5 alleles conferring risk for myocardial infarction

Ron Do  1 Nathan O Stitziel  2 Hong-Hee Won  1 Anders Berg Jørgensen  3 Stefano Duga  4 Pier Angelica Merlini  5 Adam Kiezun  6 Martin Farrall  7 Anuj Goel  7 Or Zuk  6 Illaria Guella  4 Rosanna Asselta  4 Leslie A Lange  8 Gina M Peloso  1 Paul L Auer  9 NHLBI Exome Sequencing ProjectDomenico Girelli  10 Nicola Martinelli  10 Deborah N Farlow  6 Mark A DePristo  6 Robert Roberts  11 Alexander F R Stewart  11 Danish Saleheen  12 John Danesh  12 Stephen E Epstein  13 Suthesh Sivapalaratnam  14 G Kees Hovingh  14 John J Kastelein  14 Nilesh J Samani  15 Heribert Schunkert  16 Jeanette Erdmann  17 Svati H Shah  18 William E Kraus  19 Robert Davies  20 Majid Nikpay  20 Christopher T Johansen  21 Jian Wang  21 Robert A Hegele  22 Eliana Hechter  6 Winfried Marz  23 Marcus E Kleber  24 Jie Huang  25 Andrew D Johnson  26 Mingyao Li  27 Greg L Burke  28 Myron Gross  29 Yongmei Liu  30 Themistocles L Assimes  31 Gerardo Heiss  32 Ethan M Lange  33 Aaron R Folsom  34 Herman A Taylor  35 Oliviero Olivieri  10 Anders Hamsten  36 Robert Clarke  37 Dermot F Reilly  38 Wu Yin  38 Manuel A Rivas  39 Peter Donnelly  40 Jacques E Rossouw  41 Bruce M Psaty  42 David M Herrington  43 James G Wilson  44 Stephen S Rich  45 Michael J Bamshad  46 Russell P Tracy  47 L Adrienne Cupples  48 Daniel J Rader  49 Muredach P Reilly  50 John A Spertus  51 Sharon Cresci  52 Jaana Hartiala  53 W H Wilson Tang  54 Stanley L Hazen  54 Hooman Allayee  53 Alex P Reiner  55 Christopher S Carlson  9 Charles Kooperberg  9 Rebecca D Jackson  56 Eric Boerwinkle  57 Eric S Lander  6 Stephen M Schwartz  55 David S Siscovick  58 Ruth McPherson  20 Anne Tybjaerg-Hansen  59 Goncalo R Abecasis  60 Hugh Watkins  61 Deborah A Nickerson  62 Diego Ardissino  63 Shamil R Sunyaev  64 Christopher J O'Donnell  25 David Altshuler  65 Stacey Gabriel  6 Sekar Kathiresan  1
Collaborators, Affiliations

Exome sequencing identifies rare LDLR and APOA5 alleles conferring risk for myocardial infarction

Ron Do et al. Nature. .

Abstract

Myocardial infarction (MI), a leading cause of death around the world, displays a complex pattern of inheritance. When MI occurs early in life, genetic inheritance is a major component to risk. Previously, rare mutations in low-density lipoprotein (LDL) genes have been shown to contribute to MI risk in individual families, whereas common variants at more than 45 loci have been associated with MI risk in the population. Here we evaluate how rare mutations contribute to early-onset MI risk in the population. We sequenced the protein-coding regions of 9,793 genomes from patients with MI at an early age (≤50 years in males and ≤60 years in females) along with MI-free controls. We identified two genes in which rare coding-sequence mutations were more frequent in MI cases versus controls at exome-wide significance. At low-density lipoprotein receptor (LDLR), carriers of rare non-synonymous mutations were at 4.2-fold increased risk for MI; carriers of null alleles at LDLR were at even higher risk (13-fold difference). Approximately 2% of early MI cases harbour a rare, damaging mutation in LDLR; this estimate is similar to one made more than 40 years ago using an analysis of total cholesterol. Among controls, about 1 in 217 carried an LDLR coding-sequence mutation and had plasma LDL cholesterol > 190 mg dl(-1). At apolipoprotein A-V (APOA5), carriers of rare non-synonymous mutations were at 2.2-fold increased risk for MI. When compared with non-carriers, LDLR mutation carriers had higher plasma LDL cholesterol, whereas APOA5 mutation carriers had higher plasma triglycerides. Recent evidence has connected MI risk with coding-sequence mutations at two genes functionally related to APOA5, namely lipoprotein lipase and apolipoprotein C-III (refs 18, 19). Combined, these observations suggest that, as well as LDL cholesterol, disordered metabolism of triglyceride-rich lipoproteins contributes to MI risk.

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Conflict of interest statement

The authors declare no competing financial interests.

Figures

Figure 1
Figure 1. Overall design for the Early-Onset Myocardial Infarction Study within the U.S. National Heart, Lung, and Blood Institute’s Exome Sequencing Project
Whole exome sequencing was performed in 1,973 individuals from the phenotypic extremes. To test the hypothesis that low-frequency variants confer risk for myocardial infarction (MI), we performed follow-up statistical imputation and array-based genotyping of single nucleotide variants. To test the hypothesis that a burden of rare mutations in a gene confers risk for MI, we performed targeted re-sequencing and additional exome sequencing.
Figure 2
Figure 2. Apolipoprotein A-V (APOA5) mutations discovered after sequencing of 13,432 individuals
Individual mutations (non-synonymous, indel frameshift and splice-site variants with minor allele frequency less than 1%) are depicted according to genomic position along the length of the APOA5 gene starting at the 5′ end (top). The number of circles on the left and right represents the number of times that mutation is observed in cases or controls, respectively. Dashed lines across the gene connect the same mutation seen in cases and controls. Mutations are shaded in red, blue, or yellow if observed in cases only, controls only, or both cases and controls, respectively.
Figure 3
Figure 3. Low-density lipoprotein receptor (LDLR) mutations discovered after sequencing 9,793 individuals
A. Individual disruptive mutations (nonsense, indel frameshift, and splice-site variants with minor allele frequency less than 1%) are depicted according to genomic position along the length of the LDLR gene starting at the 5′ end (top). The number of circles on the left and right represents the number of times that mutation is observed in cases or controls, respectively. Mutations are shaded in red or blue, if observed in cases only or controls only, respectively. B. Low-density lipoprotein cholesterol level as a function of LDLR gene mutation annotation. Mean (height of bar) and 95 % confidence intervals (error bars) are shown. Each individual is categorized based on mutation annotation as follows. Non-Carriers: carriers without a missense or disruptive mutation; “Deleterious (PolyPhen)” as defined by nonsense, splice-site, indel frameshift, and missense annotated as “possibly damaging” or “probably damaging” by PolyPhen-2 HumDiv software; “Deleterious (Broad)” as defined by nonsense, splice-site, indel frameshift, and missense annotated as deleterious by at least one of five protein prediction algorithms (LRT score, MutationTaster, PolyPhen-2 HumDiv, PolyPhen-2 HumVar and SIFT); “Deleterious (Strict)” as defined by nonsense, splice-site, indel frameshift, and missense annotated as deleterious by all five of the above protein prediction algorithms; Disruptive: carriers of mutations that are nonsense, indel frameshift, or splice-site.

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References

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