Associations of seven phenotypic traits with 106 genome-wide SSR markers illustrated as dot plots of compressed MLM at P<0.01.

Genome-wide association study results for quantitative traits that are dichotomized using the 75th percentile.

Esperanza Shenstone (5859375)
Julian Cooper (5859373)
Brian Rice (4393609)
Martin Bohn (6000707)
Tiffany M. Jamann (3611888)
Alexander E. Lipka (102478)

November 2018

Number of statistically significant marker-trait associations and genomic control values from the un...

Linear models in genomic studies

Narain, P.

October 2014

With the help of molecular markers, genome-wide association studies (GWAS) are conducted to identify...

Subset of the association weight matrix (AWM).

Philipp Widmann (724311)
Antonio Reverter (61185)
Rosemarie Weikard (82446)
Karsten Suhre (67967)
Harald M. Hammon (317346)
Elke Albrecht (170523)
Christa Kuehn (82445)

April 2015

Column wise, the AWM compares correlations between phenotypes, and row wise AWM compares gene-gen...

Manhattan plot of genetic association.

Jan Krumsiek (127460)
Karsten Suhre (67967)
Anne M. Evans (127464)
Matthew W. Mitchell (127466)
Robert P. Mohney (127471)
Michael V. Milburn (127474)
Brigitte Wägele (127476)
Werner Römisch-Margl (127480)
Thomas Illig (44906)
Jerzy Adamski (127482)
Christian Gieger (87555)
Fabian J. Theis (127485)
Gabi Kastenmüller (127487)

October 2012

The strength of association for known (bottom) and unknown (top) metabolites is indicated as the ...

Seventy-three significant association signals (P<0.01) involving 50 SSR loci and seven yield-related traits.

Jie Guo (16643)
Chenyang Hao (129091)
Yong Zhang (5893)
Boqiao Zhang (753536)
Xiaoming Cheng (556761)
Lin Qin (753537)
Tian Li (194773)
Weiping Shi (753538)
Xiaoping Chang (182629)
Ruilian Jing (182634)
Wuyun Yang (753539)
Wenjing Hu (503593)
Xueyong Zhang (129114)
Shunhe Cheng (753540)

June 2015

Seventy-three significant association signals (P<0.01) involving 50 SSR loci and seven yie...

Genomewide distribution of trait-associated markers for different traits.

Manish K. Pandey (151068)
Hari D. Upadhyaya (118396)
Abhishek Rathore (560197)
Vincent Vadez (619039)
M. S. Sheshshayee (619040)
Manda Sriswathi (619041)
Mansee Govil (619042)
Ashish Kumar (152984)
M. V. C. Gowda (619043)
Shivali Sharma (619044)
Falalou Hamidou (619045)
V. Anil Kumar (619046)
Pawan Khera (619047)
Ramesh S. Bhat (619048)
Aamir W. Khan (619049)
Sube Singh (619050)
Hongjie Li (82868)
Emmanuel Monyo (619051)
H. L. Nadaf (619052)
Ganapati Mukri (619054)
Scott A. Jackson (123805)
Baozhu Guo (42084)
Xuanqiang Liang (42087)
Rajeev K. Varshney (151116)

August 2014

Mapped SSR markers that showed trait association are represented on linkage groups (A01 to A10 an...

Associations between SSR and SNP marker loci and angular leaf spot (race 0–39) severity determined by unified mixed linear models (MLM).

Juliana Morini Küpper Cardoso Perseguini (2548027)
Paula Rodrigues Oblessuc (141400)
João Ricardo Bachega Feijó Rosa (2548030)
Kleber Alves Gomes (2548015)
Alisson Fernando Chiorato (2548018)
Sérgio Augusto Morais Carbonell (2548024)
Antonio Augusto Franco Garcia (182556)
Rosana Pereira Vianello (2548012)
Luciana Lasry Benchimol-Reis (2548021)

March 2016

Associations between SSR and SNP marker loci and angular leaf spot (race 0–39) severity determine...

Associations between SSR and SNP marker loci and Anthracnose (race 4) severity determined by unified mixed linear models (MLM).

Juliana Morini Küpper Cardoso Perseguini (2548027)
Paula Rodrigues Oblessuc (141400)
João Ricardo Bachega Feijó Rosa (2548030)
Kleber Alves Gomes (2548015)
Alisson Fernando Chiorato (2548018)
Sérgio Augusto Morais Carbonell (2548024)
Antonio Augusto Franco Garcia (182556)
Rosana Pereira Vianello (2548012)
Luciana Lasry Benchimol-Reis (2548021)

March 2016

Associations between SSR and SNP marker loci and Anthracnose (race 4) severity determined by unif...

Associations of five FHB-related traits with molecular markers in the 3.1 -Mb genomic region.

Chenyang Hao (129091)
Yuquan Wang (129095)
Jian Hou (93442)
Catherine Feuillet (129103)
Francois Balfourier (129110)
Xueyong Zhang (129114)

October 2012

(a) Dot plots of the compressed mixed linear model (MLM) for numbers of diseased spikelets (NDS)....

P-values for all 1,198,956 SNP associations from GWAS on the HRS genetic sample.

Thalida E. Arpawong (4351048)
Neil Pendleton (107711)
Krisztina Mekli (4351042)
John J. McArdle (4351039)
Margaret Gatz (71026)
Chris Armoskus (4351045)
James A. Knowles (243158)
Carol A. Prescott (4351051)

August 2017

(A) Level of Immediate Recall (IR-L); (B) Change in Immediate Recall (IR-C); (C) Level of Residua...

Genome-wide marker-trait associations (MTAs) detected at a significance threshold of –log10(P) >3.35 with the PCA scores fixed model are compared with known reference quantitative trait loci (QTLs) in the same chromosomal regions.

Inge E. Matthies (654849)
Marcos Malosetti (654850)
Marion S. Röder (381431)
Fred van Eeuwijk (19669)

November 2014

Abbreviations: Chr = chromosome; Chr-Pos = position of MTA on the chromosome; DArT: diversity arr...

SSR genetic linkage maps of homoeologous group 7 chromosomes showing markers-trait associations (markers associated with different traits are shown by solid circles with different colours), black bar given below the solid circle represents that MTA qualified FDR criterion; markers are indicated to the right and map distances (cM) are indicated to the left of the vertical bar (based on the consensus linkage map of Somers et al. [76]).

Vandana Jaiswal (754875)
Vijay Gahlaut (754876)
Prabina Kumar Meher (3149415)
Reyazul Rouf Mir (3149412)
Jai Prakash Jaiswal (3149409)
Atmakuri Ramakrishna Rao (789071)
Harindra Singh Balyan (754882)
Pushpendra Kumar Gupta (754883)

July 2016

MTAs identified through all three approaches (SLST, MLMM and MTMM) are highlighted with pink.</p

Association results from 127 SNPs using the additive model.

Jie Lu (139953)
Ping Chu (365959)
Huanmin Wang (444379)
Yaqiong Jin (748190)
Shujing Han (748191)
Wei Han (151406)
Jun Tai (748192)
Yongli Guo (406232)
Xin Ni (345929)

June 2015

For each SNP in the genes shown on the x-axis, the-log10 P (unadjusted P value) fro...

Genome-wide association analyses.

Lauren M. Dembeck (733382)
Wen Huang (186929)
Michael M. Magwire (109925)
Faye Lawrence (733383)
Richard F. Lyman (733384)
Trudy F. C. Mackay (120308)

May 2015

Results are depicted for T5, T6, and the T5-T6 difference. A nominal P ≤ 10–5 i...

Genome-wide association analyses for females and males (treatments pooled).

Allison L. Weber (173970)
George F. Khan (173977)
Michael M. Magwire (109925)
Crystal L. Tabor (173984)
Trudy F. C. Mackay (120308)
Robert R. H. Anholt (159214)

April 2012

All SNPs from single marker analyses with a nominal P<10−5 are shown. Associati...

Genome-wide association study results for quantitative traits that are dichotomized using the 75th percentile.

Esperanza Shenstone (5859375)
Julian Cooper (5859373)
Brian Rice (4393609)
Martin Bohn (6000707)
Tiffany M. Jamann (3611888)
Alexander E. Lipka (102478)

November 2018

Number of statistically significant marker-trait associations and genomic control values from the un...

Linear models in genomic studies

Narain, P.

October 2014

With the help of molecular markers, genome-wide association studies (GWAS) are conducted to identify...

Subset of the association weight matrix (AWM).

Philipp Widmann (724311)
Antonio Reverter (61185)
Rosemarie Weikard (82446)
Karsten Suhre (67967)
Harald M. Hammon (317346)
Elke Albrecht (170523)
Christa Kuehn (82445)

April 2015

Column wise, the AWM compares correlations between phenotypes, and row wise AWM compares gene-gen...

Manhattan plot of genetic association.

Jan Krumsiek (127460)
Karsten Suhre (67967)
Anne M. Evans (127464)
Matthew W. Mitchell (127466)
Robert P. Mohney (127471)
Michael V. Milburn (127474)
Brigitte Wägele (127476)
Werner Römisch-Margl (127480)
Thomas Illig (44906)
Jerzy Adamski (127482)
Christian Gieger (87555)
Fabian J. Theis (127485)
Gabi Kastenmüller (127487)

October 2012

The strength of association for known (bottom) and unknown (top) metabolites is indicated as the ...

Seventy-three significant association signals (P<0.01) involving 50 SSR loci and seven yield-related traits.

Jie Guo (16643)
Chenyang Hao (129091)
Yong Zhang (5893)
Boqiao Zhang (753536)
Xiaoming Cheng (556761)
Lin Qin (753537)
Tian Li (194773)
Weiping Shi (753538)
Xiaoping Chang (182629)
Ruilian Jing (182634)
Wuyun Yang (753539)
Wenjing Hu (503593)
Xueyong Zhang (129114)
Shunhe Cheng (753540)

June 2015

Seventy-three significant association signals (P<0.01) involving 50 SSR loci and seven yie...

Genomewide distribution of trait-associated markers for different traits.

Manish K. Pandey (151068)
Hari D. Upadhyaya (118396)
Abhishek Rathore (560197)
Vincent Vadez (619039)
M. S. Sheshshayee (619040)
Manda Sriswathi (619041)
Mansee Govil (619042)
Ashish Kumar (152984)
M. V. C. Gowda (619043)
Shivali Sharma (619044)
Falalou Hamidou (619045)
V. Anil Kumar (619046)
Pawan Khera (619047)
Ramesh S. Bhat (619048)
Aamir W. Khan (619049)
Sube Singh (619050)
Hongjie Li (82868)
Emmanuel Monyo (619051)
H. L. Nadaf (619052)
Ganapati Mukri (619054)
Scott A. Jackson (123805)
Baozhu Guo (42084)
Xuanqiang Liang (42087)
Rajeev K. Varshney (151116)

August 2014

Mapped SSR markers that showed trait association are represented on linkage groups (A01 to A10 an...

Associations between SSR and SNP marker loci and angular leaf spot (race 0–39) severity determined by unified mixed linear models (MLM).

Juliana Morini Küpper Cardoso Perseguini (2548027)
Paula Rodrigues Oblessuc (141400)
João Ricardo Bachega Feijó Rosa (2548030)
Kleber Alves Gomes (2548015)
Alisson Fernando Chiorato (2548018)
Sérgio Augusto Morais Carbonell (2548024)
Antonio Augusto Franco Garcia (182556)
Rosana Pereira Vianello (2548012)
Luciana Lasry Benchimol-Reis (2548021)

March 2016

Associations between SSR and SNP marker loci and angular leaf spot (race 0–39) severity determine...

Associations between SSR and SNP marker loci and Anthracnose (race 4) severity determined by unified mixed linear models (MLM).

Juliana Morini Küpper Cardoso Perseguini (2548027)
Paula Rodrigues Oblessuc (141400)
João Ricardo Bachega Feijó Rosa (2548030)
Kleber Alves Gomes (2548015)
Alisson Fernando Chiorato (2548018)
Sérgio Augusto Morais Carbonell (2548024)
Antonio Augusto Franco Garcia (182556)
Rosana Pereira Vianello (2548012)
Luciana Lasry Benchimol-Reis (2548021)

March 2016

Associations between SSR and SNP marker loci and Anthracnose (race 4) severity determined by unif...

Associations of five FHB-related traits with molecular markers in the 3.1 -Mb genomic region.

Chenyang Hao (129091)
Yuquan Wang (129095)
Jian Hou (93442)
Catherine Feuillet (129103)
Francois Balfourier (129110)
Xueyong Zhang (129114)

October 2012

(a) Dot plots of the compressed mixed linear model (MLM) for numbers of diseased spikelets (NDS)....

P-values for all 1,198,956 SNP associations from GWAS on the HRS genetic sample.

Thalida E. Arpawong (4351048)
Neil Pendleton (107711)
Krisztina Mekli (4351042)
John J. McArdle (4351039)
Margaret Gatz (71026)
Chris Armoskus (4351045)
James A. Knowles (243158)
Carol A. Prescott (4351051)

August 2017

(A) Level of Immediate Recall (IR-L); (B) Change in Immediate Recall (IR-C); (C) Level of Residua...

Genome-wide marker-trait associations (MTAs) detected at a significance threshold of –log10(P) >3.35 with the PCA scores fixed model are compared with known reference quantitative trait loci (QTLs) in the same chromosomal regions.

Inge E. Matthies (654849)
Marcos Malosetti (654850)
Marion S. Röder (381431)
Fred van Eeuwijk (19669)

November 2014

Abbreviations: Chr = chromosome; Chr-Pos = position of MTA on the chromosome; DArT: diversity arr...

SSR genetic linkage maps of homoeologous group 7 chromosomes showing markers-trait associations (markers associated with different traits are shown by solid circles with different colours), black bar given below the solid circle represents that MTA qualified FDR criterion; markers are indicated to the right and map distances (cM) are indicated to the left of the vertical bar (based on the consensus linkage map of Somers et al. [76]).

Vandana Jaiswal (754875)
Vijay Gahlaut (754876)
Prabina Kumar Meher (3149415)
Reyazul Rouf Mir (3149412)
Jai Prakash Jaiswal (3149409)
Atmakuri Ramakrishna Rao (789071)
Harindra Singh Balyan (754882)
Pushpendra Kumar Gupta (754883)

July 2016

MTAs identified through all three approaches (SLST, MLMM and MTMM) are highlighted with pink.</p

Association results from 127 SNPs using the additive model.

Jie Lu (139953)
Ping Chu (365959)
Huanmin Wang (444379)
Yaqiong Jin (748190)
Shujing Han (748191)
Wei Han (151406)
Jun Tai (748192)
Yongli Guo (406232)
Xin Ni (345929)

June 2015

For each SNP in the genes shown on the x-axis, the-log10 P (unadjusted P value) fro...

Genome-wide association analyses.

Lauren M. Dembeck (733382)
Wen Huang (186929)
Michael M. Magwire (109925)
Faye Lawrence (733383)
Richard F. Lyman (733384)
Trudy F. C. Mackay (120308)

May 2015

Results are depicted for T5, T6, and the T5-T6 difference. A nominal P ≤ 10–5 i...

Genome-wide association analyses for females and males (treatments pooled).

Allison L. Weber (173970)
George F. Khan (173977)
Michael M. Magwire (109925)
Crystal L. Tabor (173984)
Trudy F. C. Mackay (120308)
Robert R. H. Anholt (159214)

April 2012

All SNPs from single marker analyses with a nominal P<10−5 are shown. Associati...

Genome-wide association study results for quantitative traits that are dichotomized using the 75th percentile.

Esperanza Shenstone (5859375)
Julian Cooper (5859373)
Brian Rice (4393609)
Martin Bohn (6000707)
Tiffany M. Jamann (3611888)
Alexander E. Lipka (102478)

November 2018

Number of statistically significant marker-trait associations and genomic control values from the un...

Linear models in genomic studies

Narain, P.

October 2014

With the help of molecular markers, genome-wide association studies (GWAS) are conducted to identify...

Subset of the association weight matrix (AWM).

Philipp Widmann (724311)
Antonio Reverter (61185)
Rosemarie Weikard (82446)
Karsten Suhre (67967)
Harald M. Hammon (317346)
Elke Albrecht (170523)
Christa Kuehn (82445)

April 2015

Column wise, the AWM compares correlations between phenotypes, and row wise AWM compares gene-gen...

Associations of seven phenotypic traits with 106 genome-wide SSR markers illustrated as dot plots of compressed MLM at <i>P</i><0.01.

Abstract

Extracted data

Associations of seven phenotypic traits with 106 genome-wide SSR markers illustrated as dot plots of compressed MLM at <i>P</i><0.01.

Abstract

Extracted data

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