FTO m6A demethylase in obesity and cancer: implications and underlying molecular mechanisms

SK Azzam, H Alsafar, AA Sa**i - International journal of molecular …, 2022 - mdpi.com
Fat mass and obesity-associated protein (FTO) is the first reported RNA N6-
methyladenosine (m6A) demethylase in eukaryotic cells. m6A is considered as the most …

Methods of integrating data to uncover genotype–phenotype interactions

MD Ritchie, ER Holzinger, R Li… - Nature Reviews …, 2015 - nature.com
Recent technological advances have expanded the breadth of available omic data, from
whole-genome sequencing data, to extensive transcriptomic, methylomic and metabolomic …

BOADICEA: a comprehensive breast cancer risk prediction model incorporating genetic and nongenetic risk factors

A Lee, N Mavaddat, AN Wilcox, AP Cunningham… - Genetics in …, 2019 - nature.com
Purpose Breast cancer (BC) risk prediction allows systematic identification of individuals at
highest and lowest risk. We extend the Breast and Ovarian Analysis of Disease Incidence …

Genome-wide association study identifies 32 novel breast cancer susceptibility loci from overall and subtype-specific analyses

H Zhang, TU Ahearn, J Lecarpentier, D Barnes… - Nature …, 2020 - nature.com
Breast cancer susceptibility variants frequently show heterogeneity in associations by tumor
subtype,–. To identify novel loci, we performed a genome-wide association study including …

[HTML][HTML] The m6A methyltransferase METTL3 promotes translation in human cancer cells

S Lin, J Choe, P Du, R Triboulet, RI Gregory - Molecular cell, 2016 - cell.com
METTL3 is an RNA methyltransferase implicated in mRNA biogenesis, decay, and
translation control through N 6-methyladenosine (m 6 A) modification. Here we find that …

Exome sequencing identifies breast cancer susceptibility genes and defines the contribution of coding variants to breast cancer risk

N Wilcox, M Dumont, A González-Neira, S Carvalho… - Nature …, 2023 - nature.com
Linkage and candidate gene studies have identified several breast cancer susceptibility
genes, but the overall contribution of coding variation to breast cancer is unclear. To …

Modeling linkage disequilibrium increases accuracy of polygenic risk scores

BJ Vilhjálmsson, J Yang, HK Finucane, A Gusev… - The american journal of …, 2015 - cell.com
Polygenic risk scores have shown great promise in predicting complex disease risk and will
become more accurate as training sample sizes increase. The standard approach for …

Identification of ten variants associated with risk of estrogen-receptor-negative breast cancer

RL Milne, KB Kuchenbaecker, K Michailidou… - Nature …, 2017 - nature.com
Most common breast cancer susceptibility variants have been identified through genome-
wide association studies (GWAS) of predominantly estrogen receptor (ER)-positive disease …

Prediction of breast cancer risk based on profiling with common genetic variants

N Mavaddat, PDP Pharoah… - Journal of the …, 2015 - academic.oup.com
Background: Data for multiple common susceptibility alleles for breast cancer may be
combined to identify women at different levels of breast cancer risk. Such stratification could …

Genome-wide association analysis of more than 120,000 individuals identifies 15 new susceptibility loci for breast cancer

K Michailidou, J Beesley, S Lindstrom, S Canisius… - Nature …, 2015 - nature.com
Genome-wide association studies (GWAS) and large-scale replication studies have
identified common variants in 79 loci associated with breast cancer, explaining∼ 14% of the …