These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

122 related articles for article (PubMed ID: 29110346)

  • 1. On meta- and mega-analyses for gene-environment interactions.
    Huang J; Liu Y; Vitale S; Penning TM; Whitehead AS; Blair IA; Vachani A; Clapper ML; Muscat JE; Lazarus P; Scheet P; Moore JH; Chen Y
    Genet Epidemiol; 2017 Dec; 41(8):876-886. PubMed ID: 29110346
    [TBL] [Abstract][Full Text] [Related]  

  • 2. An empirical comparison of meta-analysis and mega-analysis of individual participant data for identifying gene-environment interactions.
    Sung YJ; Schwander K; Arnett DK; Kardia SL; Rankinen T; Bouchard C; Boerwinkle E; Hunt SC; Rao DC
    Genet Epidemiol; 2014 May; 38(4):369-78. PubMed ID: 24719363
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Response to letter to the editor from Dr Rahman Shiri: The challenging topic of suicide across occupational groups.
    Niedhammer I; Milner A; Witt K; Klingelschmidt J; Khireddine-Medouni I; Alexopoulos EC; Toivanen S; Chastang JF; LaMontagne AD
    Scand J Work Environ Health; 2018 Jan; 44(1):108-110. PubMed ID: 29218357
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Robustness of meta-analyses in finding gene × environment interactions.
    Shi G; Nehorai A
    PLoS One; 2017; 12(3):e0171446. PubMed ID: 28362796
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Meta-Analysis of SNP-Environment Interaction with Heterogeneity.
    Jin Q; Shi G
    Hum Hered; 2019; 84(3):117-126. PubMed ID: 31865312
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Genome-wide meta-analysis of joint tests for genetic and gene-environment interaction effects.
    Aschard H; Hancock DB; London SJ; Kraft P
    Hum Hered; 2010; 70(4):292-300. PubMed ID: 21293137
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Mega-trials vs. meta-analysis: precision vs. heterogeneity?
    Shrier I; Platt RW; Steele RJ
    Contemp Clin Trials; 2007 May; 28(3):324-8. PubMed ID: 17188025
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Meta-analysis of gene-environment interaction exploiting gene-environment independence across multiple case-control studies.
    Estes JP; Rice JD; Li S; Stringham HM; Boehnke M; Mukherjee B
    Stat Med; 2017 Oct; 36(24):3895-3909. PubMed ID: 28744888
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Variance-component-based meta-analysis of gene-environment interactions for rare variants.
    Jin X; Shi G
    G3 (Bethesda); 2021 Sep; 11(9):. PubMed ID: 34544119
    [TBL] [Abstract][Full Text] [Related]  

  • 10. An Empirical Comparison of Meta- and Mega-Analysis With Data From the ENIGMA Obsessive-Compulsive Disorder Working Group.
    Boedhoe PSW; Heymans MW; Schmaal L; Abe Y; Alonso P; Ameis SH; Anticevic A; Arnold PD; Batistuzzo MC; Benedetti F; Beucke JC; Bollettini I; Bose A; Brem S; Calvo A; Calvo R; Cheng Y; Cho KIK; Ciullo V; Dallaspezia S; Denys D; Feusner JD; Fitzgerald KD; Fouche JP; Fridgeirsson EA; Gruner P; Hanna GL; Hibar DP; Hoexter MQ; Hu H; Huyser C; Jahanshad N; James A; Kathmann N; Kaufmann C; Koch K; Kwon JS; Lazaro L; Lochner C; Marsh R; Martínez-Zalacaín I; Mataix-Cols D; Menchón JM; Minuzzi L; Morer A; Nakamae T; Nakao T; Narayanaswamy JC; Nishida S; Nurmi EL; O'Neill J; Piacentini J; Piras F; Piras F; Reddy YCJ; Reess TJ; Sakai Y; Sato JR; Simpson HB; Soreni N; Soriano-Mas C; Spalletta G; Stevens MC; Szeszko PR; Tolin DF; van Wingen GA; Venkatasubramanian G; Walitza S; Wang Z; Yun JY; ; Thompson PM; Stein DJ; van den Heuvel OA; Twisk JWR
    Front Neuroinform; 2018; 12():102. PubMed ID: 30670959
    [No Abstract]   [Full Text] [Related]  

  • 11. A screening-testing approach for detecting gene-environment interactions using sequential penalized and unpenalized multiple logistic regression.
    Frost HR; Andrew AS; Karagas MR; Moore JH
    Pac Symp Biocomput; 2015; ():183-94. PubMed ID: 25592580
    [TBL] [Abstract][Full Text] [Related]  

  • 12. [Meta-analysis of the Italian studies on short-term effects of air pollution].
    Biggeri A; Bellini P; Terracini B;
    Epidemiol Prev; 2001; 25(2 Suppl):1-71. PubMed ID: 11515188
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Evaluating three strategies of genome-wide association analysis for integrating data from multiple populations.
    Zhong Z; Li G; Xu Z; Zeng H; Teng J; Feng X; Diao S; Gao Y; Li J; Zhang Z
    Anim Genet; 2024 Apr; 55(2):265-276. PubMed ID: 38185881
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Gene-gene and gene-environment interactions in meta-analysis of genetic association studies.
    Lin C; Chu CM; Lin J; Yang HY; Su SL
    PLoS One; 2015; 10(4):e0124967. PubMed ID: 25923960
    [TBL] [Abstract][Full Text] [Related]  

  • 15. A meta-analysis approach with filtering for identifying gene-level gene-environment interactions.
    Wang J; Liu Q; Pierce BL; Huo D; Olopade OI; Ahsan H; Chen LS
    Genet Epidemiol; 2018 Jul; 42(5):434-446. PubMed ID: 29430690
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Toward Cumulative Cognitive Science: A Comparison of Meta-Analysis, Mega-Analysis, and Hybrid Approaches.
    Koile E; Cristia A
    Open Mind (Camb); 2021; 5():154-173. PubMed ID: 35024529
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Joint Analysis of SNP-SNP-Environment Interactions for Chronic Dialysis by an Improved Branch and Bound Algorithm.
    Yang CH; Lin YD; Chuang LY; Chen JB; Chang HW
    J Comput Biol; 2017 Dec; 24(12):1212-1225. PubMed ID: 28876085
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Methodological and conceptual issues regarding occupational psychosocial coronary heart disease epidemiology.
    Burr H; Formazin M; Pohrt A
    Scand J Work Environ Health; 2016 May; 42(3):251-5. PubMed ID: 26960179
    [TBL] [Abstract][Full Text] [Related]  

  • 19. An Empirical Comparison of Joint and Stratified Frameworks for Studying G × E Interactions: Systolic Blood Pressure and Smoking in the CHARGE Gene-Lifestyle Interactions Working Group.
    Sung YJ; Winkler TW; Manning AK; Aschard H; Gudnason V; Harris TB; Smith AV; Boerwinkle E; Brown MR; Morrison AC; Fornage M; Lin LA; Richard M; Bartz TM; Psaty BM; Hayward C; Polasek O; Marten J; Rudan I; Feitosa MF; Kraja AT; Province MA; Deng X; Fisher VA; Zhou Y; Bielak LF; Smith J; Huffman JE; Padmanabhan S; Smith BH; Ding J; Liu Y; Lohman K; Bouchard C; Rankinen T; Rice TK; Arnett D; Schwander K; Guo X; Palmas W; Rotter JI; Alfred T; Bottinger EP; Loos RJ; Amin N; Franco OH; van Duijn CM; Vojinovic D; Chasman DI; Ridker PM; Rose LM; Kardia S; Zhu X; Rice K; Borecki IB; Rao DC; Gauderman WJ; Cupples LA
    Genet Epidemiol; 2016 Jul; 40(5):404-15. PubMed ID: 27230302
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Deciphering Genome Environment Wide Interactions Using Exposed Subjects Only.
    Zhao LP; Fan W; Goodman G; Radich J; Martin P
    Genet Epidemiol; 2015 Jul; 39(5):334-46. PubMed ID: 25694100
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 7.