Molecular genetic studies of complex phenotypes

被引:122
作者
Marian, All J. [1 ]
机构
[1] Univ Texas Hlth Sci Ctr, Brown Fdn Inst Mol Med, Ctr Cardiovasc Genet, Houston, TX 77030 USA
关键词
GENOME-WIDE ASSOCIATION; COPY NUMBER VARIATION; LINKAGE DISEQUILIBRIUM; COMMON VARIANTS; RARE VARIANTS; MAPPING GENES; LOCI; DISEASE; RISK; SEQUENCE;
D O I
10.1016/j.trsl.2011.08.001
中图分类号
R446 [实验室诊断]; R-33 [实验医学、医学实验];
学科分类号
100118 [医学信息学]; 100208 [临床检验诊断学];
摘要
The approach to molecular genetic studies of complex phenotypes evolved considerably during the recent years. The candidate gene approach, which is restricted to an analysis of a few single-nucleotide polymorphisms (SNPs) in a modest number of cases and controls, has been supplanted by the unbiased approach of genomewide association studies (GWAS), wherein a large number of tagger SNPs are typed in many individuals. GWAS, which are designed on the common disease-common variant hypothesis (CD-CV), identified several SNPs and loci for complex phenotypes. However, the alleles identified through GWAS are typically not causative but rather in linkage disequilibrium (LD) with the true causal variants. The common alleles, which may not capture the uncommon and rare variants, account only for a fraction of heritability of the complex traits. Hence, the focus is being shifted to rare variants-common disease (RV-CD) hypothesis, surmising that rare variants exert large effect sizes on the phenotype. In conjunctional with this conceptual shift, technologic advances in DNA sequencing techniques have dramatically enhanced whole genome or whole exome sequencing capacity. The sequencing approach affords identification of not only the rare but also the common variants. The approach whether used in complementation with GWAS or as a stand-alone approach could define the genetic architecture of the complex phenotypes. Robust phenotyping and large-scale sequencing studies are essential to extract the information content of the vast number of DNA sequence variants (DSVs) in the genome. To garner meaningful clinical information and link the genotype to a phenotype, the identification and characterization of a large number of causal fields beyond the information content of DNA sequence variants would be necessary. This review provides an update on the current progress and limitations in identifying DSVs that are associated with phenotypic effects. (Translational Research 2012;159:64-79)
引用
收藏
页码:64 / 79
页数:16
相关论文
共 87 条
[1]
A method and server for predicting damaging missense mutations [J].
Adzhubei, Ivan A. ;
Schmidt, Steffen ;
Peshkin, Leonid ;
Ramensky, Vasily E. ;
Gerasimova, Anna ;
Bork, Peer ;
Kondrashov, Alexey S. ;
Sunyaev, Shamil R. .
NATURE METHODS, 2010, 7 (04) :248-249
[2]
A map of human genome variation from population-scale sequencing [J].
Altshuler, David ;
Durbin, Richard M. ;
Abecasis, Goncalo R. ;
Bentley, David R. ;
Chakravarti, Aravinda ;
Clark, Andrew G. ;
Collins, Francis S. ;
De la Vega, Francisco M. ;
Donnelly, Peter ;
Egholm, Michael ;
Flicek, Paul ;
Gabriel, Stacey B. ;
Gibbs, Richard A. ;
Knoppers, Bartha M. ;
Lander, Eric S. ;
Lehrach, Hans ;
Mardis, Elaine R. ;
McVean, Gil A. ;
Nickerson, DebbieA. ;
Peltonen, Leena ;
Schafer, Alan J. ;
Sherry, Stephen T. ;
Wang, Jun ;
Wilson, Richard K. ;
Gibbs, Richard A. ;
Deiros, David ;
Metzker, Mike ;
Muzny, Donna ;
Reid, Jeff ;
Wheeler, David ;
Wang, Jun ;
Li, Jingxiang ;
Jian, Min ;
Li, Guoqing ;
Li, Ruiqiang ;
Liang, Huiqing ;
Tian, Geng ;
Wang, Bo ;
Wang, Jian ;
Wang, Wei ;
Yang, Huanming ;
Zhang, Xiuqing ;
Zheng, Huisong ;
Lander, Eric S. ;
Altshuler, David L. ;
Ambrogio, Lauren ;
Bloom, Toby ;
Cibulskis, Kristian ;
Fennell, Tim J. ;
Gabriel, Stacey B. .
NATURE, 2010, 467 (7319) :1061-1073
[3]
[Anonymous], GENET EPIDEMIOL 0209
[4]
Next-generation DNA sequencing techniques [J].
Ansorge, Wilhelm J. .
NEW BIOTECHNOLOGY, 2009, 25 (04) :195-203
[5]
Patterns of linkage disequilibrium in the human genome [J].
Ardlie, KG ;
Kruglyak, L ;
Seielstad, M .
NATURE REVIEWS GENETICS, 2002, 3 (04) :299-309
[6]
Blood pressure and human genetic variation in the general population [J].
Arora, Pankaj ;
Newton-Cheh, Christopher .
CURRENT OPINION IN CARDIOLOGY, 2010, 25 (03) :229-237
[7]
Network medicine: a network-based approach to human disease [J].
Barabasi, Albert-Laszlo ;
Gulbahce, Natali ;
Loscalzo, Joseph .
NATURE REVIEWS GENETICS, 2011, 12 (01) :56-68
[8]
Revealing the Dark Matter of the Genome [J].
Blaxter, Mark .
SCIENCE, 2010, 330 (6012) :1758-1759
[9]
Common and rare variants in multifactorial susceptibility to common diseases [J].
Bodmer, Walter ;
Bonilla, Carolina .
NATURE GENETICS, 2008, 40 (06) :695-701
[10]
Genome-wide association study of 14,000 cases of seven common diseases and 3,000 shared controls [J].
Burton, Paul R. ;
Clayton, David G. ;
Cardon, Lon R. ;
Craddock, Nick ;
Deloukas, Panos ;
Duncanson, Audrey ;
Kwiatkowski, Dominic P. ;
McCarthy, Mark I. ;
Ouwehand, Willem H. ;
Samani, Nilesh J. ;
Todd, John A. ;
Donnelly, Peter ;
Barrett, Jeffrey C. ;
Davison, Dan ;
Easton, Doug ;
Evans, David ;
Leung, Hin-Tak ;
Marchini, Jonathan L. ;
Morris, Andrew P. ;
Spencer, Chris C. A. ;
Tobin, Martin D. ;
Attwood, Antony P. ;
Boorman, James P. ;
Cant, Barbara ;
Everson, Ursula ;
Hussey, Judith M. ;
Jolley, Jennifer D. ;
Knight, Alexandra S. ;
Koch, Kerstin ;
Meech, Elizabeth ;
Nutland, Sarah ;
Prowse, Christopher V. ;
Stevens, Helen E. ;
Taylor, Niall C. ;
Walters, Graham R. ;
Walker, Neil M. ;
Watkins, Nicholas A. ;
Winzer, Thilo ;
Jones, Richard W. ;
McArdle, Wendy L. ;
Ring, Susan M. ;
Strachan, David P. ;
Pembrey, Marcus ;
Breen, Gerome ;
St Clair, David ;
Caesar, Sian ;
Gordon-Smith, Katherine ;
Jones, Lisa ;
Fraser, Christine ;
Green, Elain K. .
NATURE, 2007, 447 (7145) :661-678