Literature DB >> 23922201

Next generation sequencing and rare genetic variants: from human population studies to medical genetics.

Giuseppe Matullo1, Cornelia Di Gaetano, Simonetta Guarrera.   

Abstract

The allelic frequency spectrum emerging from several Next Generation Sequencing (NGS) projects is revealing important details about evolutionary and demographic forces that shaped the human genome. Herein, we discuss some of the achievements of the use of low-frequency and rare variants from NGS studies. The majority of variants that affect protein-coding regions are recent and rare. Often, the novel rare variants are enriched for deleterious alleles and are population-specific, making them suitable for the study of disease susceptibility. To investigate this kind of variation and its effects in association studies, very large sample sizes will be necessary to achieve sufficient statistical power. Moreover, as these variants are typically population-specific, the replication of disease associations across populations could be very difficult due to population stratification. Therefore, the design of experiments focusing on the identification of rare variants and their effects should be carefully planned. Although several successes have already been achieved through NGS for genetic epidemiology, pharmacogenetic and clinical purposes, with improvements of the sequencing technology and decreased costs, further advances are expected in the near future.
Copyright © 2013 Wiley Periodicals, Inc.

Entities:  

Keywords:  next-generation sequencing; rare variants; whole-exome sequencing; whole-genome sequencing

Mesh:

Year:  2013        PMID: 23922201     DOI: 10.1002/em.21799

Source DB:  PubMed          Journal:  Environ Mol Mutagen        ISSN: 0893-6692            Impact factor:   3.216


  6 in total

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Authors:  Animesh Ray
Journal:  Wiley Interdiscip Rev Data Min Knowl Discov       Date:  2022-01-24

3.  Whole genome sequencing of 35 individuals provides insights into the genetic architecture of Korean population.

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Journal:  BMC Bioinformatics       Date:  2014-10-21       Impact factor: 3.169

4.  Evaluation of MC1R high-throughput nucleotide sequencing data generated by the 1000 Genomes Project.

Authors:  Leonardo Arduino Marano; Letícia Marcorin; Erick da Cruz Castelli; Celso Teixeira Mendes-Junior
Journal:  Genet Mol Biol       Date:  2017-05-08       Impact factor: 1.771

5.  Prioritization of Variants for Investigation of Genotype-Directed Nutrition in Human Superpopulations.

Authors:  Pascal D Nilsson; Jacklyn M Newsome; Henry M Santos; Martin R Schiller
Journal:  Int J Mol Sci       Date:  2019-07-18       Impact factor: 5.923

6.  Profiling, Bioinformatic, and Functional Data on the Developing Olfactory/GnRH System Reveal Cellular and Molecular Pathways Essential for This Process and Potentially Relevant for the Kallmann Syndrome.

Authors:  Giulia Garaffo; Paolo Provero; Ivan Molineris; Patrizia Pinciroli; Clelia Peano; Cristina Battaglia; Daniela Tomaiuolo; Talya Etzion; Yoav Gothilf; Massimo Santoro; Giorgio R Merlo
Journal:  Front Endocrinol (Lausanne)       Date:  2013-12-31       Impact factor: 5.555

  6 in total

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