+ Site Statistics
+ Search Articles
+ PDF Full Text Service
How our service works
Request PDF Full Text
+ Follow Us
Follow on Facebook
Follow on Twitter
Follow on LinkedIn
+ Subscribe to Site Feeds
Most Shared
PDF Full Text
+ Translate
+ Recently Requested

Meta-Analysis of Common and Rare Variants

Meta-Analysis of Common and Rare Variants

Methods in Molecular Biology 1793: 73-88

Meta-analysis is a statistical technique that is widely used for improving the power to detect associations, by synthesizing data from independent studies, and is extensively used in the genomic analyses of complex traits. Estimates from different studies are combined and the results effectively provide the power of a much larger study. Meta-analysis also has the potential of discovering heterogeneity in the effects among the different studies. This chapter provides an overview of the methods used for meta-analysis of common and rare single variants and also for gene/region-based analyses; common variants are mainly identified via genome-wide association studies (GWAS) and rare variants through various types of sequencing experiments.

Please choose payment method:

(PDF emailed within 0-6 h: $19.90)

Accession: 065310603

Download citation: RISBibTeXText

PMID: 29876892

DOI: 10.1007/978-1-4939-7868-7_6

Related references

Meta-analysis of association of rare mutations and common sequence variants in the MSR1 gene and prostate cancer risk. Prostate 66(7): 728-737, 2006

Trans-ethnic meta-analysis identifies common and rare variants associated with hepatocyte growth factor levels in the Multi-Ethnic Study of Atherosclerosis (MESA). Annals of Human Genetics 79(4): 264-274, 2015

Meta-analysis of genetic association studies supports a role for common variants in common disease risk. American Journal of Human Genetics 71(4 Supplement): 360, October, 2002

Meta-analysis of genetic association studies supports a contribution of common variants to susceptibility to common disease. Nature Genetics 33(2): 177-182, February, 2003

Update to Terwilliger and Göring's "Gene mapping in the 20th and 21st centuries" (2000): gene mapping when rare variants are common and common variants are rare. Human Biology 81(5-6): 729-733, 2016

Methods for association analysis and meta-analysis of rare variants in families. Genetic Epidemiology 39(4): 227-238, 2015

RAREMETAL: fast and powerful meta-analysis for rare variants. Bioinformatics 30(19): 2828-2829, 2014

Association of Common Variants in LOX with Keratoconus: A Meta-Analysis. Plos One 10(12): E0145815-E0145815, 2016

Integrated Genetic Analysis of Racial Differences of Common GBA Variants in Parkinson's Disease: A Meta-Analysis. Frontiers in Molecular Neuroscience 11: 43-43, 2018

Pathway analysis approaches for rare and common variants: insights from Genetic Analysis Workshop 18. Genetic Epidemiology 38 Suppl 1: S86-S91, 2014

Common variants in CACNA1C and MDD susceptibility: A comprehensive meta-analysis. American Journal of Medical Genetics. Part B, Neuropsychiatric Genetics 171(6): 896-903, 2016

Population structure analysis using rare and common functional variants. Bmc Proceedings 5 Suppl 9: S8-S8, 2012

Does pathway analysis make it easier for common variants to tag rare ones?. Bmc Proceedings 5 Suppl 9: S90-S90, 2012

General framework for meta-analysis of rare variants in sequencing association studies. American Journal of Human Genetics 93(1): 42-53, 2013

A pathway-based association analysis model using common and rare variants. Bmc Proceedings 5 Suppl 9: S85-S85, 2012