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Candidate Gene Testing in Clinical Cohort Studies with Multiplexed Genotyping and Mass Spectrometry

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Dissecting complex phenotypes using the genomics of twins.

Qihua Tan¹, Kirsten Ohm Kyvik, Torben A Kruse

¹The Danish Twin Registry and The Danish Aging Research Center, Institute of Public Health, University of Southern Denmark, J. B. Winsløws Vej 9B, DK-5000, Odense C, Denmark. qtan@health.sdu.dk

Functional & Integrative Genomics

|February 11, 2010

Summary

This summary is machine-generated.

Twin studies are advancing beyond heritability to explore functional genomics and epigenetics. Novel research designs leverage twins for gene mapping and understanding complex diseases, integrating traditional and molecular approaches.

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Area of Science:

* Human genetics and genomics
* Genetic epidemiology
* Epigenetics

Background:

* The field of genetics is transitioning from structural to functional genomics.
* Twin studies are expanding from heritability to molecular phenotypes, including gene expression and regulation.
* Twins offer unique insights into the interplay of genetics and environment in disease.

Purpose of the Study:

* To summarize novel applications of twin studies in current genetic research.
* To propose new research designs and analytical strategies for twin studies.
* To explore the role of twins in understanding the molecular basis of human diseases.

Main Methods:

* Classical twin design and marker-based gene mapping.
* Analysis of molecular phenotypes, including gene expression and DNA copy number variations.
* Integration of traditional genetic epidemiology with advanced bioinformatics.

Main Results:

* Twins are valuable for studying regulatory phenotypes in functional genomics.
* Twin models facilitate gene mapping for complex diseases using various genetic markers.
* DNA copy number variations can be effectively associated with diseases using twin studies.

Conclusions:

* Twins are crucial for dissecting the complex interplay of nature and nurture in disease.
* Advancements in biotechnology and bioinformatics enhance the utility of twin studies.
* Future twin research holds significant potential for understanding human health and disease.