Results 11 to 20 of about 6,713,185 (334)

Variance components models for gene-environment interaction in twin analysis. [PDF]

Twin research : the official journal of the International Society for Twin Studies, 2002
S. Purcell
semanticscholar   +2 more sources

Gene-environment interaction analysis of school quality and educational inequality [PDF]

npj Science of Learning
We study to what extent schools increase or decrease environmental and genetic influences on educational performance. Building on behavioral genetics literature on gene-environment interactions and sociological literature on the compensating and ...
Kim Stienstra, Antonie Knigge, Ineke Maas   +2 more
doaj   +2 more sources

Mito-SiPE is a sequence-independent and PCR-free mtDNA enrichment method for accurate ultra-deep mitochondrial sequencing

Communications Biology, 2022
Mito-SiPE is a mitochondrial DNA (mtDNA) enrichment method that can derive high-quality mtDNA for rare heteroplasmy analysis, without relying on PCR or probes.
Darren J. Walsh, David J. Bernard, Faith Pangilinan, Madison Esposito, Denise Harold, Anne Parle-McDermott, Lawrence C. Brody   +6 more
doaj   +1 more source

Gene–Environment Interactions in Severe Mental Illness [PDF]

Frontiers in Psychiatry, 2014
Severe mental illness (SMI) is a broad category that includes schizophrenia, bipolar disorder, and severe depression. Both genetic disposition and environmental exposures play important roles in the development of SMI. Multiple lines of evidence suggest that the roles of genetic and environmental factors depend on each other.
Rudolf eUher, Rudolf eUher
openaire   +3 more sources

Gene-environment interaction in yeast gene expression. [PDF]

PLoS Biology, 2008
The effects of genetic variants on phenotypic traits often depend on environmental and physiological conditions, but such gene-environment interactions are poorly understood.
Erin N Smith, Leonid Kruglyak
doaj   +1 more source

Gene–gene and gene-environment interactions on cord blood total IgE in Chinese Han children

Allergy, Asthma & Clinical Immunology, 2021
Background IL13, IL4, IL4RA, FCER1B and ADRB2 are susceptible genes of asthma and atopy. Our previous study has found gene–gene interactions on asthma between these genes in Chinese Han children. Whether the interactions begin in fetal stage, and whether
Li Hua, Quanhua Liu, Jing Li, Xianbo Zuo, Qian Chen, Jingyang Li, Yuwei Wang, Haipei Liu, Zhaobo Shen, Yi Li, Zenan Ma, Shengdong Dong, Ruoxu Ji, Dingzhu Fang, Yi Chen, Wenwei Zhong, Jun Zhang, Jianhua Zhang, Yixiao Bao   +18 more
doaj   +1 more source

Mutual information for testing gene-environment interaction. [PDF]

PLoS ONE, 2009
Despite current enthusiasm for investigation of gene-gene interactions and gene-environment interactions, the essential issue of how to define and detect gene-environment interactions remains unresolved.
Xuesen Wu, Li Jin, Momiao Xiong
doaj   +1 more source

The Familial Clustering of Age at Menarche in Extended Twin Families [PDF]

, 2007
The timing of puberty is complex, possibly involving many genetic factors that may interact with environmental influences. Familial resemblance for age at menarche was studied in a sample of 4,995 female twins, 1,296 sisters, 2,946 mothers and 635 female
A Must, A Pickles, B Towne, CL Sisk, DB Pillemer, DI Boomsma, Dorret I. Boomsma, DS Falconer, DZ Loesch, EB Greif, FJP Ebling, FL Schmidt, G Willemsen, G Wyshak, J Kaprio, JH Stubbe, JL Jinks, JM Meyer, JM Vink, JR Koopmans, L Ibanez, L Zacharias, MR Palmert, SA Treloar, SM Berg van den, SR Ojeda, Stéphanie M. van den Berg   +26 more
core   +11 more sources

GEM: scalable and flexible gene–environment interaction analysis in millions of samples

bioRxiv, 2020
Gene-environment interaction (GEI) studies are a general framework that can be used to identify genetic variants that modify environmental, physiological, lifestyle, or treatment effects, as well as those contributing to age, sex, racial or ethnic ...
K. Westerman, D. Pham, Liang Hong, Ye Chen, Magdalena D R Sevilla-Gonzalez, Y. Sung, Yan V. Sun, A. Morrison, Han Chen, A. Manning   +9 more
semanticscholar   +1 more source

A comprehensive gene–environment interaction analysis in Ovarian Cancer using genome‐wide significant common variants [PDF]

International Journal of Cancer, 2019
As a follow‐up to genome‐wide association analysis of common variants associated with ovarian carcinoma (cancer), our study considers seven well‐known ovarian cancer risk factors and their interactions with 28 genome‐wide significant common genetic variants.
Elisa V. Bandera, Jonathan Tyrer, Gang Liu, Roger L. Milne, Roger L. Milne, Roger L. Milne, Nhu D. Le, Maxwell Salvatore, Joellen M. Schildkraut, Francesmary Modugno, Alice S. Whittemore, Penelope M. Webb, Daniel W. Cramer, Daniel W. Cramer, Jenny Chang-Claude, Jenny Chang-Claude, Renée T. Fortner, Ellen L. Goode, Sehee Kim, Alice W. Lee, Allan Jensen, Jennifer A. Doherty, Argyrios Ziogas, Weiva Sieh, Susanne K. Kjaer, Miao Wang, Kathryn L. Terry, Kathryn L. Terry, Mary Anne Rossing, Mary Anne Rossing, Britton Trabert, Ashley Wiensch, Andrew Berchuck, Shelley S. Tworoger, Linda S. Cook, Linda S. Cook, Georgia Chenevix-Trench, David G. Huntsman, Anna H. Wu, Bhramar Mukherjee, Malcolm C. Pike, Malcolm C. Pike, Estrid Høgdall, Honglin Song, N. Wentzensen, Sara H. Olson, Holly R. Harris, Paul D.P. Pharoah, Hoda Anton-Culver, Celeste Leigh Pearce, Celeste Leigh Pearce, Graham G. Giles, Graham G. Giles, Graham G. Giles, Pamela J. Thompson, Angela Brooks-Wilson, Angela Brooks-Wilson, Usha Menon, Roberta B. Ness, Marc T. Goodman, Marc T. Goodman, Simon A. Gayther, Simon A. Gayther, Stacey J. Winham   +63 more
openaire   +6 more sources