Abstract
Medical genetics was revolutionized during the 1980s by the application of genetic mapping to locate the genes responsible for simple Mendelian diseases. Most diseases and traits, however, do not follow simple inheritance patterns. Geneticists have thus begun taking up the even greater challenge of the genetic dissection of complex traits. Four major approaches have been developed: linkage analysis, allele-sharing methods, association studies, and polygenic analysis of experimental crosses. This article synthesizes the current state of the genetic dissection of complex traits—describing the methods, limitations, and recent applications to biological problems.
Keywords
Affiliated Institutions
Related Publications
Mapping mendelian factors underlying quantitative traits using RFLP linkage maps.
Abstract The advent of complete genetic linkage maps consisting of codominant DNA markers [typically restriction fragment length polymorphisms (RFLPs)] has stimulated interest i...
The personal and clinical utility of polygenic risk scores
Initial expectations for genome-wide association studies were high, as such studies promised to rapidly transform personalized medicine with individualized disease risk predicti...
Mendelian Randomization Analysis With Multiple Genetic Variants Using Summarized Data
ABSTRACT Genome‐wide association studies, which typically report regression coefficients summarizing the associations of many genetic variants with various traits, are potential...
Power and Predictive Accuracy of Polygenic Risk Scores
Polygenic scores have recently been used to summarise genetic effects among an ensemble of markers that do not individually achieve significance in a large-scale association stu...
Polygenic prediction via Bayesian regression and continuous shrinkage priors
Polygenic risk scores (PRS) have shown promise in predicting human complex traits and diseases. Here, we present PRS-CS, a polygenic prediction method that infers posterior effe...
Publication Info
- Year
- 1994
- Type
- review
- Volume
- 265
- Issue
- 5181
- Pages
- 2037-2048
- Citations
- 3438
- Access
- Closed
External Links
Social Impact
Social media, news, blog, policy document mentions
Citation Metrics
Cite This
Identifiers
- DOI
- 10.1126/science.8091226