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| Content Provider | World Health Organization (WHO)-Global Index Medicus |
|---|---|
| Author | Boehnke, Michael Lin, Xihong Lee, Seunggeung Abecasis, Gonçalo R. |
| Description | Country affiliation: United States Author Affiliation: Lee S ( Department of Biostatistics, University of Michigan, Ann Arbor, MI 48105, USA.); Abecasis GR ( Department of Biostatistics, University of Michigan, Ann Arbor, MI 48105, USA.); Boehnke M ( Department of Biostatistics, University of Michigan, Ann Arbor, MI 48105, USA.); Lin X ( Department of Biostatistics, Harvard School of Public Health, Boston, MA 02115, USA. Electronic address: xlin@hsph.harvard.edu.) |
| Abstract | Despite the extensive discovery of trait- and disease-associated common variants, much of the genetic contribution to complex traits remains unexplained. Rare variants can explain additional disease risk or trait variability. An increasing number of studies are underway to identify trait- and disease-associated rare variants. In this review, we provide an overview of statistical issues in rare-variant association studies with a focus on study designs and statistical tests. We present the design and analysis pipeline of rare-variant studies and review cost-effective sequencing designs and genotyping platforms. We compare various gene- or region-based association tests, including burden tests, variance-component tests, and combined omnibus tests, in terms of their assumptions and performance. Also discussed are the related topics of meta-analysis, population-stratification adjustment, genotype imputation, follow-up studies, and heritability due to rare variants. We provide guidelines for analysis and discuss some of the challenges inherent in these studies and future research directions. |
| ISSN | 00029297 |
| e-ISSN | 15376605 |
| DOI | 10.1016/j.ajhg.2014.06.009 |
| Journal | The American Journal of Human Genetics |
| Issue Number | 1 |
| Volume Number | 95 |
| Language | English |
| Publisher | Cell Press (on behalf of American Society of Human Genetics) |
| Publisher Date | 2014-07-03 |
| Publisher Place | United States |
| Access Restriction | Open |
| Subject Keyword | Genome-wide Association Study Genotype Research Support, N.i.h., Extramural Discipline Human Genetics |
| Content Type | Text |
| Resource Type | Article |
| Subject | Genetics Genetics (clinical) |
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