Literature DB >> 17055247

Population genetics models of common diseases.

Anna Di Rienzo1.   

Abstract

The number and frequency of susceptibility alleles for common diseases are important factors to consider in the efficient design of disease association studies. These quantities are the results of the joint effects of mutation, genetic drift and selection. Hence, population genetics models, informed by empirical knowledge about patterns of disease variation, can be used to make predictions about the allelic architecture of common disease susceptibility and to gain an overall understanding about the evolutionary origins of such diseases. Equilibrium models and empirical studies suggest a role for both rare and common variants. In addition, increasing evidence points to changes in selective pressures on susceptibility genes for common diseases; these findings are likely to form the basis for further modeling studies.

Mesh:

Year:  2006        PMID: 17055247     DOI: 10.1016/j.gde.2006.10.002

Source DB:  PubMed          Journal:  Curr Opin Genet Dev        ISSN: 0959-437X            Impact factor:   5.578


  34 in total

1.  Crohn's disease risk alleles on the NOD2 locus have been maintained by natural selection on standing variation.

Authors:  Shigeki Nakagome; Shuhei Mano; Lukasz Kozlowski; Janusz M Bujnicki; Hiroki Shibata; Yasuaki Fukumaki; Judith R Kidd; Kenneth K Kidd; Shoji Kawamura; Hiroki Oota
Journal:  Mol Biol Evol       Date:  2012-01-12       Impact factor: 16.240

Review 2.  Population Genetics and Natural Selection in Rheumatic Disease.

Authors:  Paula S Ramos
Journal:  Rheum Dis Clin North Am       Date:  2017-08       Impact factor: 2.670

Review 3.  African genetic diversity: implications for human demographic history, modern human origins, and complex disease mapping.

Authors:  Michael C Campbell; Sarah A Tishkoff
Journal:  Annu Rev Genomics Hum Genet       Date:  2008       Impact factor: 8.929

Review 4.  From evolutionary genetics to human immunology: how selection shapes host defence genes.

Authors:  Luis B Barreiro; Lluís Quintana-Murci
Journal:  Nat Rev Genet       Date:  2009-12-01       Impact factor: 53.242

5.  Common NOD2/CARD15 and TLR4 Polymorphisms Are Associated with Crohn's Disease Phenotypes in Southeastern Brazilians.

Authors:  Yolanda F M Tolentino; Paula Peruzzi Elia; Homero Soares Fogaça; Antonio José V Carneiro; Cyrla Zaltman; Rodrigo Moura-Neto; Ronir Raggio Luiz; Maria da Gloria C Carvalho; Heitor S de Souza
Journal:  Dig Dis Sci       Date:  2016-04-23       Impact factor: 3.199

6.  Evidence of positive selection for a glycogen synthase (GYS1) mutation in domestic horse populations.

Authors:  Annette M McCoy; Robert Schaefer; Jessica L Petersen; Peter L Morrell; Megan A Slamka; James R Mickelson; Stephanie J Valberg; Molly E McCue
Journal:  J Hered       Date:  2013-11-08       Impact factor: 2.645

7.  Convergent evolution in European and Rroma populations reveals pressure exerted by plague on Toll-like receptors.

Authors:  Hafid Laayouni; Marije Oosting; Pierre Luisi; Mihai Ioana; Santos Alonso; Isis Ricaño-Ponce; Gosia Trynka; Alexandra Zhernakova; Theo S Plantinga; Shih-Chin Cheng; Jos W M van der Meer; Radu Popp; Ajit Sood; B K Thelma; Cisca Wijmenga; Leo A B Joosten; Jaume Bertranpetit; Mihai G Netea
Journal:  Proc Natl Acad Sci U S A       Date:  2014-02-03       Impact factor: 11.205

8.  Extreme evolutionary disparities seen in positive selection across seven complex diseases.

Authors:  Erik Corona; Joel T Dudley; Atul J Butte
Journal:  PLoS One       Date:  2010-08-17       Impact factor: 3.240

9.  Genome-wide linkage screen for stature and body mass index in 3.032 families: evidence for sex- and population-specific genetic effects.

Authors:  Sampo Sammalisto; Tero Hiekkalinna; Karen Schwander; Sharon Kardia; Alan B Weder; Beatriz L Rodriguez; Alessandro Doria; Jennifer A Kelly; Gail R Bruner; John B Harley; Susan Redline; Emma K Larkin; Sanjay R Patel; Amy J H Ewan; James L Weber; Markus Perola; Leena Peltonen
Journal:  Eur J Hum Genet       Date:  2008-09-10       Impact factor: 4.246

10.  A genome-wide linkage and association scan reveals novel loci for autism.

Authors:  Lauren A Weiss; Dan E Arking; Mark J Daly; Aravinda Chakravarti
Journal:  Nature       Date:  2009-10-08       Impact factor: 49.962

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