Abstract

The allelic architecture of complex traits is likely to be underpinned by a combination of multiple common frequency and rare variants. Targeted genotyping arrays and next-generation sequencing technologies at the whole-genome sequencing (WGS) and whole-exome scales (WES) are increasingly employed to access sequence variation across the full minor allele frequency (MAF) spectrum. Different study design strategies that make use of diverse technologies, imputation and sample selection approaches are an active target of development and evaluation efforts. Initial insights into the contribution of rare variants in common diseases and medically relevant quantitative traits point to low-frequency and rare alleles acting either independently or in aggregate and in several cases alongside common variants. Studies conducted in population isolates have been successful in detecting rare variant associations with complex phenotypes. Statistical methodologies that enable the joint analysis of rare variants across regions of the genome continue to evolve with current efforts focusing on incorporating information such as functional annotation, and on the meta-analysis of these burden tests. In addition, population stratification, defining genome-wide statistical significance thresholds and the design of appropriate replication experiments constitute important considerations for the powerful analysis and interpretation of rare variant association studies. Progress in addressing these emerging challenges and the accrual of sufficiently large data sets are poised to help the field of complex trait genetics enter a promising era of discovery.

Highlights

  • The allelic architecture of complex traits is likely to be underpinned by a combination of multiple common frequency and rare variants

  • Following the advent of genome-wide association studies (GWASs) and large-scale consortial meta-analyses of GWASs, several thousands of variants have been robustly associated with complex phenotypes of medical relevance, giving valuable insights into underlying biological processes

  • GWASs are designed to provide a survey of common variation [minor allele frequency (MAF) . 0.05], examining only a portion of the genomic landscape of complex traits

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Summary

ACCESSING RARE VARIANTS

Current approaches to investigate the effect of rare variants in complex traits involve direct genotyping—for example, through targeted arrays like the exome chip High-depth WGS is currently the preferred approach to exhaustively study variation across the full allelic spectrum genome-wide but for complex trait studies, where a large number of individuals need to be sampled costs remain prohibitively expensive. For mapping complex trait variants, study designs that increase the number of sequenced samples by decreasing sequencing depth are more powerful and cost-effective than sequencing fewer individuals at high depth (4,6 – 8), but detection and calling accuracy at rare variant sites can be compromised. The lower cost of WES compared with WGS means that higher depths are feasible, leading to higher accuracy in rare variant calls

EXAMPLES OF RARE VARIANTS CONTRIBUTING TO COMPLEX TRAITS
POPULATION ISOLATES
RARE VARIANT REFERENCE PANELS
RARE VARIANT ASSOCIATION ANALYSIS
POPULATION STRATIFICATION AT RARE VARIANTS
REPLICATION OF RARE VARIANT SIGNALS
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