TY - JOUR T1 - Whole-exome sequencing identifies rare and low-frequency coding variants associated with LDL cholesterol. JF - Am J Hum Genet Y1 - 2014 A1 - Lange, Leslie A A1 - Hu, Youna A1 - Zhang, He A1 - Xue, Chenyi A1 - Schmidt, Ellen M A1 - Tang, Zheng-Zheng A1 - Bizon, Chris A1 - Lange, Ethan M A1 - Smith, Joshua D A1 - Turner, Emily H A1 - Jun, Goo A1 - Kang, Hyun Min A1 - Peloso, Gina A1 - Auer, Paul A1 - Li, Kuo-Ping A1 - Flannick, Jason A1 - Zhang, Ji A1 - Fuchsberger, Christian A1 - Gaulton, Kyle A1 - Lindgren, Cecilia A1 - Locke, Adam A1 - Manning, Alisa A1 - Sim, Xueling A1 - Rivas, Manuel A A1 - Holmen, Oddgeir L A1 - Gottesman, Omri A1 - Lu, Yingchang A1 - Ruderfer, Douglas A1 - Stahl, Eli A A1 - Duan, Qing A1 - Li, Yun A1 - Durda, Peter A1 - Jiao, Shuo A1 - Isaacs, Aaron A1 - Hofman, Albert A1 - Bis, Joshua C A1 - Correa, Adolfo A1 - Griswold, Michael E A1 - Jakobsdottir, Johanna A1 - Smith, Albert V A1 - Schreiner, Pamela J A1 - Feitosa, Mary F A1 - Zhang, Qunyuan A1 - Huffman, Jennifer E A1 - Crosby, Jacy A1 - Wassel, Christina L A1 - Do, Ron A1 - Franceschini, Nora A1 - Martin, Lisa W A1 - Robinson, Jennifer G A1 - Assimes, Themistocles L A1 - Crosslin, David R A1 - Rosenthal, Elisabeth A A1 - Tsai, Michael A1 - Rieder, Mark J A1 - Farlow, Deborah N A1 - Folsom, Aaron R A1 - Lumley, Thomas A1 - Fox, Ervin R A1 - Carlson, Christopher S A1 - Peters, Ulrike A1 - Jackson, Rebecca D A1 - van Duijn, Cornelia M A1 - Uitterlinden, André G A1 - Levy, Daniel A1 - Rotter, Jerome I A1 - Taylor, Herman A A1 - Gudnason, Vilmundur A1 - Siscovick, David S A1 - Fornage, Myriam A1 - Borecki, Ingrid B A1 - Hayward, Caroline A1 - Rudan, Igor A1 - Chen, Y Eugene A1 - Bottinger, Erwin P A1 - Loos, Ruth J F A1 - Sætrom, Pål A1 - Hveem, Kristian A1 - Boehnke, Michael A1 - Groop, Leif A1 - McCarthy, Mark A1 - Meitinger, Thomas A1 - Ballantyne, Christie M A1 - Gabriel, Stacey B A1 - O'Donnell, Christopher J A1 - Post, Wendy S A1 - North, Kari E A1 - Reiner, Alexander P A1 - Boerwinkle, Eric A1 - Psaty, Bruce M A1 - Altshuler, David A1 - Kathiresan, Sekar A1 - Lin, Dan-Yu A1 - Jarvik, Gail P A1 - Cupples, L Adrienne A1 - Kooperberg, Charles A1 - Wilson, James G A1 - Nickerson, Deborah A A1 - Abecasis, Goncalo R A1 - Rich, Stephen S A1 - Tracy, Russell P A1 - Willer, Cristen J KW - Adult KW - Aged KW - Apolipoproteins E KW - Cholesterol, LDL KW - Cohort Studies KW - Dyslipidemias KW - Exome KW - Female KW - Follow-Up Studies KW - Gene Frequency KW - Genetic Code KW - Genome-Wide Association Study KW - Genotype KW - Humans KW - Lipase KW - Male KW - Middle Aged KW - Phenotype KW - Polymorphism, Single Nucleotide KW - Proprotein Convertase 9 KW - Proprotein Convertases KW - Receptors, LDL KW - Sequence Analysis, DNA KW - Serine Endopeptidases AB -
Elevated low-density lipoprotein cholesterol (LDL-C) is a treatable, heritable risk factor for cardiovascular disease. Genome-wide association studies (GWASs) have identified 157 variants associated with lipid levels but are not well suited to assess the impact of rare and low-frequency variants. To determine whether rare or low-frequency coding variants are associated with LDL-C, we exome sequenced 2,005 individuals, including 554 individuals selected for extreme LDL-C (>98(th) or <2(nd) percentile). Follow-up analyses included sequencing of 1,302 additional individuals and genotype-based analysis of 52,221 individuals. We observed significant evidence of association between LDL-C and the burden of rare or low-frequency variants in PNPLA5, encoding a phospholipase-domain-containing protein, and both known and previously unidentified variants in PCSK9, LDLR and APOB, three known lipid-related genes. The effect sizes for the burden of rare variants for each associated gene were substantially higher than those observed for individual SNPs identified from GWASs. We replicated the PNPLA5 signal in an independent large-scale sequencing study of 2,084 individuals. In conclusion, this large whole-exome-sequencing study for LDL-C identified a gene not known to be implicated in LDL-C and provides unique insight into the design and analysis of similar experiments.
VL - 94 IS - 2 U1 - http://www.ncbi.nlm.nih.gov/pubmed/24507775?dopt=Abstract ER -