Literature DB >> 33871853

Genetic Epidemiology of Complex Phenotypes.

Darren D O'Rielly1, Proton Rahman2.   

Abstract

Genetic and environmental factors are critical elements in most common complex disease. Genetics is increasingly being recognized to play a substantive role in the susceptibility, prognosis, and treatment of common diseases. Due to recent and rapid advancements in characterization of genetic variants and large-scale genotyping platforms, multiple genes and genetic variants have now been identified for common, complex diseases. The most efficient method for gene identification at present appears to be large-scale association-based studies, which integrate genetic and epidemiological principles. As the strategy for gene identification studies has shifted toward genetic association-based methods rather than traditional linkage analysis, epidemiological methods are increasingly being integrated into genetic investigations and in public health research. Consequently, the disciplines of genetics and epidemiology, which historically have functioned separately, have been integrated into a hybrid discipline referred to as genetic epidemiology. In this chapter, we review methods for establishing the genetic burden of complex genetic disease, followed by methods for gene and/or genetic variant identification. When appropriate, we will highlight the epidemiological issues and clinical applications that guide these methods.

Entities:  

Keywords:  Association studies; Genetic epidemiology; Genotyping; Heritability studies; Linkage disequilibrium; Linkage studies; Next-generation sequencing; Whole-genome-wide association scans

Year:  2021        PMID: 33871853     DOI: 10.1007/978-1-0716-1138-8_19

Source DB:  PubMed          Journal:  Methods Mol Biol        ISSN: 1064-3745


  136 in total

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Journal:  Am J Hum Genet       Date:  2018-07-05       Impact factor: 11.025

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Journal:  Nat Genet       Date:  2015-05-18       Impact factor: 38.330

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Journal:  Acta Derm Venereol       Date:  1982       Impact factor: 4.437

Review 10.  10 Years of GWAS Discovery: Biology, Function, and Translation.

Authors:  Peter M Visscher; Naomi R Wray; Qian Zhang; Pamela Sklar; Mark I McCarthy; Matthew A Brown; Jian Yang
Journal:  Am J Hum Genet       Date:  2017-07-06       Impact factor: 11.025

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  1 in total

1.  snpQT: flexible, reproducible, and comprehensive quality control and imputation of genomic data.

Authors:  Christina Vasilopoulou; Benjamin Wingfield; Andrew P Morris; William Duddy
Journal:  F1000Res       Date:  2021-07-14
  1 in total

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