Results 161 to 170 of about 1,144,749 (288)

Gene-Environment Interaction Affects Risk of Atopic Eczema: Population and In Vitro Studies. [PDF]

Allergy
Standl M, Budu-Aggrey A, Johnston LJ, Elias MS, Arshad SH, Bager P, Bataille V, Blakeway H, Bønnelykke K, Boomsma D, Brumpton BM, Bustamante Pineda M, Campbell A, Curtin JA, Eliasen A, Fadista JPS, Feenstra B, Gerner T, Medina-Gomez C, Grosche S, Gutzkow KB, Halling AS, Hayward C, Henderson J, Herrera-Luis E, Holloway JW, Hottenga J, O'B Hourihane J, Hu C, Hveem K, Irizar A, Jacquemin B, Jessen L, Kress S, Kurukulaaratchy RJ, Lau S, Llop S, Løset M, Marenholz I, Mason D, McCartney DL, Melbye M, Melén E, Minica C, Murray CS, Nijsten T, Pardo LM, Pasmans S, Pennell CE, Rinnov MR, Santorelli G, Schikowski T, Sheehan D, Simpson A, Söderhäll C, Thomas LF, Thyssen JP, Torrent M, van Beijsterveldt T, Visconti A, Vonk JM, Wang CA, Xu CJ, Ziyab AH, UK Translational Research Network in Dermatology, BIOMAP Consortium, Custovic A, Di Meglio P, Duijts L, Flohr C, Irvine AD, Koppelman GH, Lee YA, Reynolds NJ, Smith C, Langan SM, Paternoster L, Brown SJ.   +77 more
europepmc   +1 more source

Evolutionarily divergent DUF4465 domains have a common vitamin B12‐binding function

FEBS Open Bio, EarlyView.
We show that DUF4465 family proteins, widespread across bacteria from gut microbiomes, hydrothermal vents, and soil, share a common vitamin B12‐binding function. These augmented β‐jellyroll proteins bind vitamin B12 via extended loops. Our findings establish sequence‐diverse DUF4465 proteins as a widespread class of B12‐binding proteins, highlighting ...
Charlea Clarke, Michal Banasik, Rokas Juodeikis, Martin J. Warren, Richard W. Pickersgill   +4 more
wiley   +1 more source

Association between hot spring residency and dry eye disease: a crossover gene-environment interaction (GxE) study in Taiwan. [PDF]

Hum Genomics
Wu HY, Chang KJ, Chiu W, Wang CY, Lin YC, Hsu YT, Wen YC, Chiang PH, Chen YH, Dai HJ, Lu CH, Chen YC, Tsai HY, Chen YC, Hsu CH, Chiou SH, Yang YP, Hsieh AR, Hsu CC.   +18 more
europepmc   +1 more source

Re-analysis and meta-analysis of summary statistics from gene-environment interaction studies. [PDF]

Bioinformatics, 2023
Pham DT, Westerman KE, Pan C, Chen L, Srinivasan S, Isganaitis E, Vajravelu ME, Bacha F, Chernausek S, Gubitosi-Klug R, Divers J, Pihoker C, Marcovina SM, Manning AK, Chen H.   +14 more
europepmc   +1 more source

Gene environment interaction. [PDF]

Journal of Epidemiology and Community Health, 1996
openaire   +2 more sources

Suppression of lung adenocarcinoma migration through organelle alkalization by human lactoferrin – albumin fusion

FEBS Open Bio, EarlyView.
This paper reveals how human lactoferrin–albumin fusion (hLF‐HSA) potently suppresses lung adenocarcinoma cell migration. hLF‐HSA upregulates NHE7, leading to Golgi alkalization, disruption of the Golgi secretome, downregulation of MMP1, and reversal of EMT. These findings suggest a novel Golgi‐targeting strategy to suppress cancer cell migration.
Hana Nopia, Masahiro Kimura, Daisuke Kurimoto, Atsushi Sato   +3 more
wiley   +1 more source

GE-IA-NAM: gene-environment interaction analysis via imaging-assisted neural additive model. [PDF]

Bioinformatics
Li J, Xu Y, Ma S, Fang K.
europepmc   +1 more source

Gene-environment interaction analysis under the Cox model. [PDF]

Ann Inst Stat Math, 2023
Fang K, Li J, Xu Y, Ma S, Zhang Q.
europepmc   +1 more source

Blood‐based proteomic profiling reveals context‐dependent changes in BCL2‐associated signaling during taxane therapy in breast cancer patients

FEBS Open Bio, EarlyView.
Chemotherapy side effects significantly impact cancer survivors' quality of life. Using protein levels in blood samples from breast cancer patients before and after 12 weeks of taxane treatment, we detected treatment‐dependent changes in calcium signaling and aging pathways associated with cancer recurrence.
Saira Munshani, Eiman Y. Ibrahim, Rozalyn L. Rodwin, Leah M. Ferrucci, Kim Blenman, Maryam Lustberg, Barbara E. Ehrlich   +6 more
wiley   +1 more source

PIGEON: a statistical framework for estimating gene-environment interaction for polygenic traits. [PDF]

Nat Hum Behav
Miao J, Song G, Wu Y, Hu J, Wu Y, Basu S, Andrews JS, Schaumberg K, Fletcher JM, Schmitz LL, Lu Q.   +10 more
europepmc   +1 more source