Works matching IS 07410395 AND DT 2022 AND VI 46 AND IP 5/6

Results: 9

Gene‐level association analysis of ordinal traits with functional ordinal logistic regressions.

Published in:

Genetic Epidemiology, 2022, v. 46, n. 5/6, p. 234, doi. 10.1002/gepi.22451

By:

Chiu, Chi‐Yang;
Wang, Shuqi;
Zhang, Bingsong;
Luo, Yutong;
Simpson, Claire;
Zhang, Wei;
Wilson, Alexander F.;
Bailey‐Wilson, Joan E.;
Agron, Elvira;
Chew, Emily Y.;
Zhang, Jun;
Xiong, Momiao;
Fan, Ruzong

Publication type:

Article

Issue Information.

Published in:: Genetic Epidemiology, 2022, v. 46, n. 5/6, p. 217, doi. 10.1002/gepi.22498
Publication type:: Article

Selection bias when inferring the effect direction in Mendelian randomization.

Published in:

Genetic Epidemiology, 2022, v. 46, n. 5/6, p. 341, doi. 10.1002/gepi.22452

By:

Lutz, Sharon M.;
Voorhies, Kirsten;
Wu, Ann C.;
Hokanson, John;
Vansteelandt, Stijn;
Lange, Christoph

Publication type:

Article

Exploring polygenic‐environment and residual‐environment interactions for depressive symptoms within the UK Biobank.

Published in:

Genetic Epidemiology, 2022, v. 46, n. 5/6, p. 219, doi. 10.1002/gepi.22449

By:

Gillett, Alexandra C.;
Jermy, Bradley S.;
Lee, Sang Hong;
Pain, Oliver;
Howard, David M.;
Hagenaars, Saskia P.;
Hanscombe, Ken B.;
Coleman, Jonathan R. I.;
Lewis, Cathryn M.

Publication type:

Article

Sparse group variable selection for gene–environment interactions in the longitudinal study.

Published in:

Genetic Epidemiology, 2022, v. 46, n. 5/6, p. 317, doi. 10.1002/gepi.22461

By:

Zhou, Fei;
Lu, Xi;
Ren, Jie;
Fan, Kun;
Ma, Shuangge;
Wu, Cen

Publication type:

Article

RAVAQ: An integrative pipeline from quality control to region‐based rare variant association analysis.

Published in:

Genetic Epidemiology, 2022, v. 46, n. 5/6, p. 256, doi. 10.1002/gepi.22450

By:

Marenne, Gaëlle;
Ludwig, Thomas E.;
Bocher, Ozvan;
Herzig, Anthony F.;
Aloui, Chaker;
Tournier‐Lasserve, Elisabeth;
Génin, Emmanuelle

Publication type:

Article

Adjusting for collider bias in genetic association studies using instrumental variable methods.

Published in:

Genetic Epidemiology, 2022, v. 46, n. 5/6, p. 303, doi. 10.1002/gepi.22455

By:

Cai, Siyang;
Hartley, April;
Mahmoud, Osama;
Tilling, Kate;
Dudbridge, Frank

Publication type:

Article

Gene‐environment interaction in type 2 diabetes in Korean cohorts: Interaction of a type 2 diabetes polygenic risk score with triglyceride and cholesterol on fasting glucose levels.

Published in:

Genetic Epidemiology, 2022, v. 46, n. 5/6, p. 285, doi. 10.1002/gepi.22454

By:

Lim, Ji Eun;
Kang, Ji‐one;
Ha, Tae‐Woong;
Jung, Hae‐Un;
Kim, Dong Jun;
Baek, Eun Ju;
Kim, Han Kyul;
Chung, Ju Yeon;
Rhee, Sang Youl;
Kim, Mi Kyung;
Kim, Yeon‐Jung;
Park, Taesung;
Oh, Bermseok

Publication type:

Article

Benchmarking statistical methods for analyzing parent–child dyads in genetic association studies.

Published in:

Genetic Epidemiology, 2022, v. 46, n. 5/6, p. 266, doi. 10.1002/gepi.22453

By:

Ray, Debashree;
Vergara, Candelaria;
Taub, Margaret A.;
Wojcik, Genevieve;
Ladd‐Acosta, Christine;
Beaty, Terri H.;
Duggal, Priya

Publication type:

Article