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Mammographic density mediates the protective effect of early-life body size on breast cancer risk

Mammographic density is known to be linked to breast cancer risk. Here, the authors use Mendelian randomization to estimate the effects of childhood body size and age at menarche on density phenotypes and breast cancer risk.

Marina Vabistsevits
George Davey Smith
Eleanor Sanderson
ResearchOpen Access13 May 2024
Nature Communications

Volume: 15, P: 1-15
MiXcan: a framework for cell-type-aware transcriptome-wide association studies with an application to breast cancer

Conventional transcriptome-wide association study (TWAS) approaches predict genetically regulated gene expression at the tissue level. Here, the authors develop a framework for cell-type-aware TWAS that predicts cell-type level expression from genotype data and identifies disease-associated genes with cell-type-specific effects.

Xiaoyu Song
Jiayi Ji
Weiva Sieh
ResearchOpen Access23 Jan 2023
Nature Communications

Volume: 14, P: 1-15
Cross-cancer evaluation of polygenic risk scores for 16 cancer types in two large cohorts

While genetic loci shared between cancer types have been identified, cross-cancer relationships for polygenic risk scores have not been well studied. Here, the authors have developed polygenic risk scores for 16 cancers in two large cohorts and identified positive and inverse cross-cancer associations.

Rebecca E. Graff
Taylor B. Cavazos
Lori C. Sakoda
ResearchOpen Access12 Feb 2021
Nature Communications

Volume: 12, P: 1-9
Pan-cancer study detects genetic risk variants and shared genetic basis in two large cohorts

Pleiotropic loci and genome-wide genetic correlations have identified shared heritability across some types of cancers. Here, the authors perform genome-wide association studies and characterize pan-cancer heritability and pleiotropy in individuals of European ancestry across 18 cancer types from two large cohorts.

Sara R. Rashkin
Rebecca E. Graff
John S. Witte
ResearchOpen Access04 Sept 2020
Nature Communications

Volume: 11, P: 1-14
Identification of 31 loci for mammographic density phenotypes and their associations with breast cancer risk

Mammographic density represents one the strongest predictors of breast cancer risk. Here the authors perform genome-wide association study meta-analysis of women screened with full-field digital mammography and identify 31 previously unreported loci associated with mammographic density phenotypes.

Weiva Sieh
Joseph H. Rothstein
Laurel A. Habel
ResearchOpen Access09 Oct 2020
Nature Communications

Volume: 11, P: 1-11
Maternal autoantibody profiles as biomarkers for ASD and ASD with co-occurring intellectual disability

Alexandra Ramirez-Celis
Lisa A. Croen
Judy Van de Water
ResearchOpen Access26 May 2022
Molecular Psychiatry

Volume: 27, P: 3760-3767
Consequences of kriging and land use regression for PM2.5 predictions in epidemiologic analyses: insights into spatial variability using high-resolution satellite data

Stacey E Alexeeff
Joel Schwartz
Brent A Coull
Research04 Jun 2014
Journal of Exposure Science & Environmental Epidemiology

Volume: 25, P: 138-144

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Mammographic density mediates the protective effect of early-life body size on breast cancer risk

MiXcan: a framework for cell-type-aware transcriptome-wide association studies with an application to breast cancer

Cross-cancer evaluation of polygenic risk scores for 16 cancer types in two large cohorts

Pan-cancer study detects genetic risk variants and shared genetic basis in two large cohorts

Identification of 31 loci for mammographic density phenotypes and their associations with breast cancer risk

Maternal autoantibody profiles as biomarkers for ASD and ASD with co-occurring intellectual disability

Consequences of kriging and land use regression for PM2.5 predictions in epidemiologic analyses: insights into spatial variability using high-resolution satellite data

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