Related Experiment Video
Updated: Feb 8, 2026
06:09
P300-Based Brain-Computer Interface Speller Performance Estimation with Classifier-Based Latency Estimation
Published on: September 8, 2023
958
Estimating SNP-Based Heritability and Genetic Correlation in Case-Control Studies Directly and with Summary
Omer Weissbrod1, Jonathan Flint2, Saharon Rosset3
1Statistics Department, Tel Aviv University, Ramat Aviv 6997801, Israel; Computer Science Department, Technion - Israel Institute of Technology, Haifa 3200003, Israel.
American Journal of Human Genetics
|July 7, 2018
Summary
The phenotype-correlation-genotype-correlation (PCGC) method accurately estimates SNP-based heritability and genetic correlations, even with non-genetic factors. A new version, PCGC-s, works with summary statistics for large datasets.
Area of Science:
- Genetics
- Psychiatric Disorders
- Statistical Genetics
Background:
- Genome-wide association studies (GWAS) are crucial for understanding disease genetics.
- Existing methods for heritability and genetic correlation often struggle with case-control designs and non-genetic factors like age and sex.
- Accurate estimation is vital for dissecting complex disease architectures.
Purpose of the Study:
- To evaluate the accuracy of existing methods for estimating SNP-based heritability and genetic correlations in case-control studies.
- To develop an improved method that can handle non-genetic risk factors and utilize summary statistics from large datasets.
- To re-evaluate the genetic correlation between schizophrenia and bipolar disorder using the refined method.
Main Methods:
- Assessed three common methods for estimating SNP-based heritability and genetic correlation.
- Extended the phenotype-correlation-genotype-correlation (PCGC) method to incorporate arbitrary genetic architectures and case-control summary statistics, creating PCGC-s.
- Applied PCGC-s to estimate the genetic correlation between schizophrenia and bipolar disorder using large-scale summary statistics.
Main Results:
- The phenotype-correlation-genotype-correlation (PCGC) approach was the only method accurately estimating heritability and genetic correlation in the presence of non-genetic risk factors.
- The newly developed PCGC-s method accurately estimates SNP-based heritability and genetic correlations using summary statistics, suitable for large datasets without individual-level data.
- Previous estimates of the genetic correlation between schizophrenia and bipolar disorder were found to be biased, partly due to inadequate handling of sex as a risk factor.
Conclusions:
- The PCGC-s method provides a robust and scalable approach for estimating genetic correlations and heritability from GWAS summary statistics, particularly in case-control studies.
- Accurate accounting for non-genetic factors like sex is critical for unbiased estimation of genetic correlations between psychiatric disorders.
- This work refines our understanding of the genetic relationship between schizophrenia and bipolar disorder.
Related Concept Videos
01:15Introduction to Statistical Process Control
659
Statistical Process Control (SPC) is a method used to monitor and control quality within processes, particularly in manufacturing and service delivery, by employing statistical methods. SPC aims to distinguish between natural (common cause) variation and variation due to specific changes or events (special cause), allowing for timely improvements and sustained quality. The control chart, a pivotal tool in SPC, visually displays data over time alongside a central line of upper and lower control...
659
01:06Heritability
668
Heritability is a statistical concept that measures the degree to which genetic differences among individuals contribute to trait variations within a population. It is a fundamental idea in genetics, often prone to misinterpretation. Heritability is expressed as a percentage, reflecting the proportion of variation in a specific trait across a population that can be linked to genetic differences. However, it's important to understand that heritability does not determine how "genetic"...
668
01:15Study Design in Statistics
10.1K
A study design is a set of techniques that allow a researcher to collect and analyze data from different variables defined for a specific research problem. Statistics is commonly for effective study design and more robust experiments,
Does aspirin reduce the risk of heart attacks? Is one brand of fertilizer more effective at growing roses than another? Is fatigue as dangerous to a driver as the influence of alcohol? Questions like these are answered using randomized experiments with proper...
Does aspirin reduce the risk of heart attacks? Is one brand of fertilizer more effective at growing roses than another? Is fatigue as dangerous to a driver as the influence of alcohol? Questions like these are answered using randomized experiments with proper...
10.1K
02:20Correlations
36.4K
Correlation means that there is a relationship between two or more variables (such as ice cream consumption and crime), but this relationship does not necessarily imply cause and effect. When two variables are correlated, it simply means that as one variable changes, so does the other. We can measure correlation by calculating a statistic known as a correlation coefficient. A correlation coefficient is a number from -1 to +1 that indicates the strength and direction of the relationship between...
36.4K
01:045-Number Summary
5.7K
In a dataset, the 5-number summary includes the minimum data value, the data value of the first quartile, the median data value or data value of the second quartile, the data value of the third quartile, and the maximum data value. These 5 data values can be visualized as a box and whisker plot.
In a box plot, the minimum and maximum data values represent the lower and upper whiskers in the graph, and the median is designated as the center of the box in the chart. The first quartile and third...
In a box plot, the minimum and maximum data values represent the lower and upper whiskers in the graph, and the median is designated as the center of the box in the chart. The first quartile and third...
5.7K
01:50Statistical Significance
22.0K
Once data is collected from both the experimental and the control groups, a statistical analysis is conducted to find out if there are meaningful differences between the two groups. A statistical analysis determines how likely any difference found is due to chance (and thus not meaningful). In psychology, group differences are considered meaningful, or significant, if the odds that these differences occurred by chance alone are 5 percent or less. Stated another way, if we repeated this...
22.0K