123 related articles for article (PubMed ID: 36545787)
1. A fast and powerful linear mixed model approach for genotype-environment interaction tests in large-scale GWAS.
Zhong W; Chhibber A; Luo L; Mehrotra DV; Shen J
Brief Bioinform; 2023 Jan; 24(1):. PubMed ID: 36545787
[TBL] [Abstract][Full Text] [Related]
2. Multi-trait analysis of gene-by-environment interactions in large-scale genetic studies.
Luo L; Mehrotra DV; Shen J; Tang ZZ
Biostatistics; 2024 Apr; 25(2):504-520. PubMed ID: 36897773
[TBL] [Abstract][Full Text] [Related]
3. Using Genetic Marginal Effects to Study Gene-Environment Interactions with GWAS Data.
Verhulst B; Pritikin JN; Clifford J; Prom-Wormley E
Behav Genet; 2021 May; 51(3):358-373. PubMed ID: 33899139
[TBL] [Abstract][Full Text] [Related]
4. Genotype-by-environment interactions inferred from genetic effects on phenotypic variability in the UK Biobank.
Wang H; Zhang F; Zeng J; Wu Y; Kemper KE; Xue A; Zhang M; Powell JE; Goddard ME; Wray NR; Visscher PM; McRae AF; Yang J
Sci Adv; 2019 Aug; 5(8):eaaw3538. PubMed ID: 31453325
[TBL] [Abstract][Full Text] [Related]
5. A resource-efficient tool for mixed model association analysis of large-scale data.
Jiang L; Zheng Z; Qi T; Kemper KE; Wray NR; Visscher PM; Yang J
Nat Genet; 2019 Dec; 51(12):1749-1755. PubMed ID: 31768069
[TBL] [Abstract][Full Text] [Related]
6. Efficient gene-environment interaction tests for large biobank-scale sequencing studies.
Wang X; Lim E; Liu CT; Sung YJ; Rao DC; Morrison AC; Boerwinkle E; Manning AK; Chen H
Genet Epidemiol; 2020 Nov; 44(8):908-923. PubMed ID: 32864785
[TBL] [Abstract][Full Text] [Related]
7. GEM: scalable and flexible gene-environment interaction analysis in millions of samples.
Westerman KE; Pham DT; Hong L; Chen Y; Sevilla-González M; Sung YJ; Sun YV; Morrison AC; Chen H; Manning AK
Bioinformatics; 2021 Oct; 37(20):3514-3520. PubMed ID: 34695175
[TBL] [Abstract][Full Text] [Related]
8. GxEsum: a novel approach to estimate the phenotypic variance explained by genome-wide GxE interaction based on GWAS summary statistics for biobank-scale data.
Shin J; Lee SH
Genome Biol; 2021 Jun; 22(1):183. PubMed ID: 34154633
[TBL] [Abstract][Full Text] [Related]
9. Kernel-based gene-environment interaction tests for rare variants with multiple quantitative phenotypes.
Jin X; Shi G
PLoS One; 2022; 17(10):e0275929. PubMed ID: 36223383
[TBL] [Abstract][Full Text] [Related]
10. Integrate multiple traits to detect novel trait-gene association using GWAS summary data with an adaptive test approach.
Guo B; Wu B
Bioinformatics; 2019 Jul; 35(13):2251-2257. PubMed ID: 30476000
[TBL] [Abstract][Full Text] [Related]
11. A generalized linear mixed model association tool for biobank-scale data.
Jiang L; Zheng Z; Fang H; Yang J
Nat Genet; 2021 Nov; 53(11):1616-1621. PubMed ID: 34737426
[TBL] [Abstract][Full Text] [Related]
12. Genome-wide contribution of genotype by environment interaction to variation of diabetes-related traits.
Zheng JS; Arnett DK; Lee YC; Shen J; Parnell LD; Smith CE; Richardson K; Li D; Borecki IB; Ordovás JM; Lai CQ
PLoS One; 2013; 8(10):e77442. PubMed ID: 24204828
[TBL] [Abstract][Full Text] [Related]
13. A Fast and Accurate Method for Genome-wide Scale Phenome-wide G × E Analysis and Its Application to UK Biobank.
Bi W; Zhao Z; Dey R; Fritsche LG; Mukherjee B; Lee S
Am J Hum Genet; 2019 Dec; 105(6):1182-1192. PubMed ID: 31735295
[TBL] [Abstract][Full Text] [Related]
14. Pleiotropy informed adaptive association test of multiple traits using genome-wide association study summary data.
Masotti M; Guo B; Wu B
Biometrics; 2019 Dec; 75(4):1076-1085. PubMed ID: 31021400
[TBL] [Abstract][Full Text] [Related]
15. Exploring efficient linear mixed models to detect quantitative trait locus-by-environment interactions.
Yamamoto E; Matsunaga H
G3 (Bethesda); 2021 Aug; 11(8):. PubMed ID: 33871575
[TBL] [Abstract][Full Text] [Related]
16. Estimating the effective sample size in association studies of quantitative traits.
Ziyatdinov A; Kim J; Prokopenko D; Privé F; Laporte F; Loh PR; Kraft P; Aschard H
G3 (Bethesda); 2021 Jun; 11(6):. PubMed ID: 33734375
[TBL] [Abstract][Full Text] [Related]
17. Accounting for Population Structure in Gene-by-Environment Interactions in Genome-Wide Association Studies Using Mixed Models.
Sul JH; Bilow M; Yang WY; Kostem E; Furlotte N; He D; Eskin E
PLoS Genet; 2016 Mar; 12(3):e1005849. PubMed ID: 26943367
[TBL] [Abstract][Full Text] [Related]
18. A unified method for rare variant analysis of gene-environment interactions.
Lim E; Chen H; Dupuis J; Liu CT
Stat Med; 2020 Mar; 39(6):801-813. PubMed ID: 31799744
[TBL] [Abstract][Full Text] [Related]
19. Methodological Considerations in Estimation of Phenotype Heritability Using Genome-Wide SNP Data, Illustrated by an Analysis of the Heritability of Height in a Large Sample of African Ancestry Adults.
Chen F; He J; Zhang J; Chen GK; Thomas V; Ambrosone CB; Bandera EV; Berndt SI; Bernstein L; Blot WJ; Cai Q; Carpten J; Casey G; Chanock SJ; Cheng I; Chu L; Deming SL; Driver WR; Goodman P; Hayes RB; Hennis AJ; Hsing AW; Hu JJ; Ingles SA; John EM; Kittles RA; Kolb S; Leske MC; Millikan RC; Monroe KR; Murphy A; Nemesure B; Neslund-Dudas C; Nyante S; Ostrander EA; Press MF; Rodriguez-Gil JL; Rybicki BA; Schumacher F; Stanford JL; Signorello LB; Strom SS; Stevens V; Van Den Berg D; Wang Z; Witte JS; Wu SY; Yamamura Y; Zheng W; Ziegler RG; Stram AH; Kolonel LN; Le Marchand L; Henderson BE; Haiman CA; Stram DO
PLoS One; 2015; 10(6):e0131106. PubMed ID: 26125186
[TBL] [Abstract][Full Text] [Related]
20. Cauchy combination methods for the detection of gene-environment interactions for rare variants related to quantitative phenotypes.
Jin X; Shi G
Heredity (Edinb); 2023 Oct; 131(4):241-252. PubMed ID: 37481617
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
