Literature DB >> 20439773

Genome-wide association studies and the problem of relatedness among advanced intercross lines and other highly recombinant populations.

Riyan Cheng1, Jackie E Lim, Kaitlin E Samocha, Greta Sokoloff, Mark Abney, Andrew D Skol, Abraham A Palmer.   

Abstract

Model organisms offer many advantages for the genetic analysis of complex traits. However, identification of specific genes is often hampered by a lack of recombination between the genomes of inbred progenitors. Recently, genome-wide association studies (GWAS) in humans have offered gene-level mapping resolution that is possible because of the large number of accumulated recombinations among unrelated human subjects. To obtain analogous improvements in mapping resolution in mice, we used a 34th generation advanced intercross line (AIL) derived from two inbred strains (SM/J and LG/J). We used simulations to show that familial relationships among subjects must be accounted for when analyzing these data; we then used a mixed model that included polygenic effects to address this problem in our own analysis. Using a combination of F(2) and AIL mice derived from the same inbred progenitors, we identified genome-wide significant, subcentimorgan loci that were associated with methamphetamine sensitivity, (e.g., chromosome 18; LOD = 10.5) and non-drug-induced locomotor activity (e.g., chromosome 8; LOD = 18.9). The 2-LOD support interval for the former locus contains no known genes while the latter contains only one gene (Csmd1). This approach is broadly applicable in terms of phenotypes and model organisms and allows GWAS to be performed in multigenerational crosses between and among inbred strains where familial relatedness is often unavoidable.

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Year:  2010        PMID: 20439773      PMCID: PMC2907190          DOI: 10.1534/genetics.110.116863

Source DB:  PubMed          Journal:  Genetics        ISSN: 0016-6731            Impact factor:   4.562


  51 in total

1.  GENOTYPIC COVARIANCES BETWEEN INBRED RELATIVES.

Authors:  D L HARRIS
Journal:  Genetics       Date:  1964-12       Impact factor: 4.562

Review 2.  Strategies for mapping and cloning quantitative trait genes in rodents.

Authors:  Jonathan Flint; William Valdar; Sagiv Shifman; Richard Mott
Journal:  Nat Rev Genet       Date:  2005-04       Impact factor: 53.242

3.  An imputed genotype resource for the laboratory mouse.

Authors:  Jin P Szatkiewicz; Glen L Beane; Yueming Ding; Lucie Hutchins; Fernando Pardo-Manuel de Villena; Gary A Churchill
Journal:  Mamm Genome       Date:  2008-02-27       Impact factor: 2.957

4.  Experimental strategies for the genetic dissection of complex traits in animal models.

Authors:  A Darvasi
Journal:  Nat Genet       Date:  1998-01       Impact factor: 38.330

5.  Empirical threshold values for quantitative trait mapping.

Authors:  G A Churchill; R W Doerge
Journal:  Genetics       Date:  1994-11       Impact factor: 4.562

6.  Quantitative trait loci that control dengue-2 virus dissemination in the mosquito Aedes aegypti.

Authors:  Kristine E Bennett; Don Flick; Karen H Fleming; Ryan Jochim; Barry J Beaty; William C Black
Journal:  Genetics       Date:  2005-03-21       Impact factor: 4.562

7.  MHC2TA is associated with differential MHC molecule expression and susceptibility to rheumatoid arthritis, multiple sclerosis and myocardial infarction.

Authors:  Maria Swanberg; Olle Lidman; Leonid Padyukov; Per Eriksson; Eva Akesson; Maja Jagodic; Anna Lobell; Mohsen Khademi; Ola Börjesson; Cecilia M Lindgren; Pia Lundman; Anthony J Brookes; Juha Kere; Holger Luthman; Lars Alfredsson; Jan Hillert; Lars Klareskog; Anders Hamsten; Fredrik Piehl; Tomas Olsson
Journal:  Nat Genet       Date:  2005-04-10       Impact factor: 38.330

8.  Quantitative trait loci affecting dengue midgut infection barriers in an advanced intercross line of Aedes aegypti.

Authors:  C Gomez-Machorro; K E Bennett; M del Lourdes Munoz; W C Black
Journal:  Insect Mol Biol       Date:  2004-12       Impact factor: 3.585

9.  Gene expression differences in mice divergently selected for methamphetamine sensitivity.

Authors:  Abraham A Palmer; Miguel Verbitsky; Rathi Suresh; Helen M Kamens; Cheryl L Reed; Na Li; Sue Burkhart-Kasch; Carrie S McKinnon; John K Belknap; T Conrad Gilliam; Tamara J Phillips
Journal:  Mamm Genome       Date:  2005-05       Impact factor: 2.957

10.  Genome Reshuffling for Advanced Intercross Permutation (GRAIP): simulation and permutation for advanced intercross population analysis.

Authors:  Jeremy L Peirce; Karl W Broman; Lu Lu; Elissa J Chesler; Guomin Zhou; David C Airey; Amanda E Birmingham; Robert W Williams
Journal:  PLoS One       Date:  2008-04-23       Impact factor: 3.240

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  70 in total

1.  Integration of genome-wide association and extant brain expression QTL identifies candidate genes influencing prepulse inhibition in inbred F1 mice.

Authors:  L J Sittig; P Carbonetto; K A Engel; K S Krauss; A A Palmer
Journal:  Genes Brain Behav       Date:  2016-01-08       Impact factor: 3.449

2.  Fine-mapping of genes determining extrafusal fiber properties in murine soleus muscle.

Authors:  A M Carroll; R Cheng; E S R Collie-Duguid; C Meharg; M E Scholz; S Fiering; J L Fields; A A Palmer; A Lionikas
Journal:  Physiol Genomics       Date:  2017-01-13       Impact factor: 3.107

3.  Genome-wide Associations Reveal Human-Mouse Genetic Convergence and Modifiers of Myogenesis, CPNE1 and STC2.

Authors:  Ana I Hernandez Cordero; Natalia M Gonzales; Clarissa C Parker; Greta Sokolof; David J Vandenbergh; Riyan Cheng; Mark Abney; Andrew Sko; Alex Douglas; Abraham A Palmer; Jennifer S Gregory; Arimantas Lionikas
Journal:  Am J Hum Genet       Date:  2019-11-21       Impact factor: 11.025

Review 4.  QTL mapping in outbred populations: successes and challenges.

Authors:  Leah C Solberg Woods
Journal:  Physiol Genomics       Date:  2013-12-10       Impact factor: 3.107

5.  Variation in Leaf Respiration Rates at Night Correlates with Carbohydrate and Amino Acid Supply.

Authors:  Brendan M O'Leary; Chun Pong Lee; Owen K Atkin; Riyan Cheng; Tim B Brown; A Harvey Millar
Journal:  Plant Physiol       Date:  2017-06-14       Impact factor: 8.340

6.  Fine-mapping of muscle weight QTL in LG/J and SM/J intercrosses.

Authors:  A Lionikas; R Cheng; J E Lim; A A Palmer; D A Blizard
Journal:  Physiol Genomics       Date:  2010-07-13       Impact factor: 3.107

7.  Genetic determinants for intramuscular fat content and water-holding capacity in mice selected for high muscle mass.

Authors:  Stefan Kärst; Riyan Cheng; Armin O Schmitt; Hyuna Yang; Fernando Pardo Manuel de Villena; Abraham A Palmer; Gudrun A Brockmann
Journal:  Mamm Genome       Date:  2011-07-06       Impact factor: 2.957

8.  Discrete genetic modules are responsible for complex burrow evolution in Peromyscus mice.

Authors:  Jesse N Weber; Brant K Peterson; Hopi E Hoekstra
Journal:  Nature       Date:  2013-01-17       Impact factor: 49.962

9.  Quantitative trait loci for bone mineral density and femoral morphology in an advanced intercross population of mice.

Authors:  Larry J Leamy; Scott A Kelly; Kunjie Hua; Charles R Farber; Daniel Pomp
Journal:  Bone       Date:  2013-02-26       Impact factor: 4.398

10.  Discovery and refinement of muscle weight QTLs in B6 × D2 advanced intercross mice.

Authors:  P Carbonetto; R Cheng; J P Gyekis; C C Parker; D A Blizard; A A Palmer; A Lionikas
Journal:  Physiol Genomics       Date:  2014-06-24       Impact factor: 3.107

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