Esther M. John
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View article: Table S1 from Changes in Breast Cancer Risk and Risk Factor Profiles among U.S.-Born and Immigrant Asian American Women Residing in the San Francisco Bay Area
Table S1 from Changes in Breast Cancer Risk and Risk Factor Profiles among U.S.-Born and Immigrant Asian American Women Residing in the San Francisco Bay Area Open
Table S1 shows differences in birthplace distribution of study participants
View article: Table S6 from Diet Quality and All-Cause Mortality in Women with Breast Cancer from the Breast Cancer Family Registry
Table S6 from Diet Quality and All-Cause Mortality in Women with Breast Cancer from the Breast Cancer Family Registry Open
Table S6 Shows Hazard Ratios and 95% Confidence Intervals for All-Cause Mortality in Women Diagnosed with Breast Cancer According to AHEI and aMED, Stratified by Patient and Treatment Characteristics
View article: Table S3 from Diet Quality and All-Cause Mortality in Women with Breast Cancer from the Breast Cancer Family Registry
Table S3 from Diet Quality and All-Cause Mortality in Women with Breast Cancer from the Breast Cancer Family Registry Open
Table S3 Shows Hazard Ratios and 95% Confidence Intervals for All-Cause Mortality in Women Diagnosed with Breast Cancer (unrelated women)
View article: Table S4 from Diet Quality and All-Cause Mortality in Women with Breast Cancer from the Breast Cancer Family Registry
Table S4 from Diet Quality and All-Cause Mortality in Women with Breast Cancer from the Breast Cancer Family Registry Open
Table S4 Shows Hazard Ratios and 95% Confidence Intervals for Risk of Breast Cancer- and CVD-Specific Mortality in Women Diagnosed with Breast Cancer According to Dietary Quality Indices in the Northern California Breast Cancer Family Regi…
View article: Table S5 from Changes in Breast Cancer Risk and Risk Factor Profiles among U.S.-Born and Immigrant Asian American Women Residing in the San Francisco Bay Area
Table S5 from Changes in Breast Cancer Risk and Risk Factor Profiles among U.S.-Born and Immigrant Asian American Women Residing in the San Francisco Bay Area Open
Table S5 shows differences in the prevalence of risk factors comparing foreign-born Asian American, U.S.-born Asian American, and U.S.-born non-Hispanic White women who were born from 1951-1984
View article: Table S4 from Changes in Breast Cancer Risk and Risk Factor Profiles among U.S.-Born and Immigrant Asian American Women Residing in the San Francisco Bay Area
Table S4 from Changes in Breast Cancer Risk and Risk Factor Profiles among U.S.-Born and Immigrant Asian American Women Residing in the San Francisco Bay Area Open
Table S4 shows differences in the prevalence of risk factors comparing foreign-born Asian American cases and foreign-born Asian American controls aged 44-55 years
View article: Table S2 from Diet Quality and All-Cause Mortality in Women with Breast Cancer from the Breast Cancer Family Registry
Table S2 from Diet Quality and All-Cause Mortality in Women with Breast Cancer from the Breast Cancer Family Registry Open
Table S2 Shows Pearson's Correlation Coefficients (r) for Diet Quality Index Scores
View article: Table S1 from Diet Quality and All-Cause Mortality in Women with Breast Cancer from the Breast Cancer Family Registry
Table S1 from Diet Quality and All-Cause Mortality in Women with Breast Cancer from the Breast Cancer Family Registry Open
Table S1 Shows Criteria for Maximum Scoring for 4 Diet Quality Indices Using Standardized Cup and Ounce Equivalents from the MyPyramid Equivalents Database
View article: Table S2 from Changes in Breast Cancer Risk and Risk Factor Profiles among U.S.-Born and Immigrant Asian American Women Residing in the San Francisco Bay Area
Table S2 from Changes in Breast Cancer Risk and Risk Factor Profiles among U.S.-Born and Immigrant Asian American Women Residing in the San Francisco Bay Area Open
Table S2 shows differences in the prevalence of risk factors comparing foreign-born Asian American, U.S.-born Asian American, and U.S.-born non-Hispanic White controls
View article: Figure S1 from Changes in Breast Cancer Risk and Risk Factor Profiles among U.S.-Born and Immigrant Asian American Women Residing in the San Francisco Bay Area
Figure S1 from Changes in Breast Cancer Risk and Risk Factor Profiles among U.S.-Born and Immigrant Asian American Women Residing in the San Francisco Bay Area Open
Figure S1 shows differences in the prevalence of risk factors between foreign-born and U.S.-born Asian American cases from the younger birth cohort
View article: Genome-wide association study of 398,238 women unveils seven loci associated with high-grade serous ovarian cancer
Genome-wide association study of 398,238 women unveils seven loci associated with high-grade serous ovarian cancer Open
View article: Threshold-Based Overlap of Breast Cancer High-Risk Classification Using Family History, Polygenic Risk Scores, and Traditional Risk Models in 180,398 Women
Threshold-Based Overlap of Breast Cancer High-Risk Classification Using Family History, Polygenic Risk Scores, and Traditional Risk Models in 180,398 Women Open
Background: Breast cancer polygenic risk scores (PRS) and traditional risk models (e.g., the Gail model [Gail]) are known to contribute largely independent information, but it is unclear how the overlap varies by ancestry, age, disease typ…
View article: The incidence of arthrogenic muscle inhibition in acute knee injuries: a prospective cohort study in a tertiary acute knee unit
The incidence of arthrogenic muscle inhibition in acute knee injuries: a prospective cohort study in a tertiary acute knee unit Open
View article: A comprehensive analysis of supermere, exomere, and extracellular vesicle isolation and cargo in colorectal cancer
A comprehensive analysis of supermere, exomere, and extracellular vesicle isolation and cargo in colorectal cancer Open
View article: Maternal ethnic group, socioeconomic status, and neonatal and child mortality: a nationwide cohort study in England and Wales
Maternal ethnic group, socioeconomic status, and neonatal and child mortality: a nationwide cohort study in England and Wales Open
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View article: Genetic and Cellular Architecture of Breast Cancer Risk in Multi-Ancestry Studies of 159,297 Cases and 212,102 Controls
Genetic and Cellular Architecture of Breast Cancer Risk in Multi-Ancestry Studies of 159,297 Cases and 212,102 Controls Open
SUMMARY Breast cancer genome-wide association studies (GWAS) have identified over 200 independent genome-wide significant susceptibility markers. However, most studies have focused on one or two ancestral groups. We examined breast cancer …
View article: Whole exome sequencing identifies FANCM as a susceptibility gene for estrogen-receptor-negative breast cancer in Hispanic/Latina women
Whole exome sequencing identifies FANCM as a susceptibility gene for estrogen-receptor-negative breast cancer in Hispanic/Latina women Open
Breast cancer (BC) is one of the most common cancers globally. Genetic testing facilitates screening and informs targeted risk-reduction and treatments. However, genes included in testing panels are from European-ancestry studies. We condu…
View article: Multi-Ancestry Transcriptome-wide Association Studies Uncover New Insights into Breast Cancer Genetics and Biology
Multi-Ancestry Transcriptome-wide Association Studies Uncover New Insights into Breast Cancer Genetics and Biology Open
Genome-wide association studies (GWAS) have identified over 200 genetic risk loci for breast cancer, yet the target genes in these loci remain largely unknown. To address this knowledge gap, we conducted a series of multi-ancestry transcri…
View article: Polygenic risk of coronary artery disease for long-term survivors of breast cancer
Polygenic risk of coronary artery disease for long-term survivors of breast cancer Open
Background Cardiovascular disease is a leading cause of death for long-term breast cancer survivors. We evaluated whether a polygenic risk score for coronary artery disease (CAD-PRS) was associated with the risk of incident CAD for survivo…
View article: Integrating multi‐ancestry genomic and proteomic data to identify blood risk biomarkers and target proteins for breast cancer genetic risk loci
Integrating multi‐ancestry genomic and proteomic data to identify blood risk biomarkers and target proteins for breast cancer genetic risk loci Open
Genome‐wide association studies (GWAS) have identified more than 200 risk loci for breast cancer. However, target genes and their encoded proteins in these loci remain largely unknown. In this study, we utilized genetic prediction models f…
View article: Case-Case Genome-Wide Analyses Identify Subtype-Informative Variants That Confer Risk for Breast Cancer.
Case-Case Genome-Wide Analyses Identify Subtype-Informative Variants That Confer Risk for Breast Cancer. Open
Breast cancer includes several subtypes with distinct characteristic biological, pathologic, and clinical features. Elucidating subtype-specific genetic etiology could provide insights into the heterogeneity of breast cancer to facilitate …
View article: Projected Tumor Characteristics and Survival of Patients with Nonviral Hepatocellular Carcinoma in the USA
Projected Tumor Characteristics and Survival of Patients with Nonviral Hepatocellular Carcinoma in the USA Open
Introduction: Nonviral liver diseases, including alcohol-associated liver disease (ALD) and metabolic dysfunction-associated steatotic liver disease (MASLD), are increasing the burden of nonviral hepatocellular carcinoma (HCC) in the USA. …
View article: Discovery and fine-mapping of height loci via high-density imputation of GWASs in individuals of African ancestry
Discovery and fine-mapping of height loci via high-density imputation of GWASs in individuals of African ancestry Open
View article: Table 4 from Breast Cancer Risk Modification in Women with Pathogenic Variants in <i>BRCA1</i>, <i>BRCA2</i>, <i>ATM</i>, <i>CHEK2</i>, and <i>PALB2</i>
Table 4 from Breast Cancer Risk Modification in Women with Pathogenic Variants in <i>BRCA1</i>, <i>BRCA2</i>, <i>ATM</i>, <i>CHEK2</i>, and <i>PALB2</i> Open
Exploratory analysis using multivariable models of the increase in the odds of developing breast cancer in carriers of PVs in genes grouped by ER status of associated cancers by risk factor
View article: Supplementary Methods from Breast Cancer Risk Modification in Women with Pathogenic Variants in <i>BRCA1</i>, <i>BRCA2</i>, <i>ATM</i>, <i>CHEK2</i>, and <i>PALB2</i>
Supplementary Methods from Breast Cancer Risk Modification in Women with Pathogenic Variants in <i>BRCA1</i>, <i>BRCA2</i>, <i>ATM</i>, <i>CHEK2</i>, and <i>PALB2</i> Open
Supplementary methods
View article: Table 1 from Breast Cancer Risk Modification in Women with Pathogenic Variants in <i>BRCA1</i>, <i>BRCA2</i>, <i>ATM</i>, <i>CHEK2</i>, and <i>PALB2</i>
Table 1 from Breast Cancer Risk Modification in Women with Pathogenic Variants in <i>BRCA1</i>, <i>BRCA2</i>, <i>ATM</i>, <i>CHEK2</i>, and <i>PALB2</i> Open
Participant characteristics of WHI ASs AS508 and AS551
View article: Table 2 from Breast Cancer Risk Modification in Women with Pathogenic Variants in <i>BRCA1</i>, <i>BRCA2</i>, <i>ATM</i>, <i>CHEK2</i>, and <i>PALB2</i>
Table 2 from Breast Cancer Risk Modification in Women with Pathogenic Variants in <i>BRCA1</i>, <i>BRCA2</i>, <i>ATM</i>, <i>CHEK2</i>, and <i>PALB2</i> Open
Prevalence and penetrance of BRCA1, BRCA2, ATM, CHEK2, and PALB2 PVs
View article: Table 3 from Breast Cancer Risk Modification in Women with Pathogenic Variants in <i>BRCA1</i>, <i>BRCA2</i>, <i>ATM</i>, <i>CHEK2</i>, and <i>PALB2</i>
Table 3 from Breast Cancer Risk Modification in Women with Pathogenic Variants in <i>BRCA1</i>, <i>BRCA2</i>, <i>ATM</i>, <i>CHEK2</i>, and <i>PALB2</i> Open
Multivariable models of the odds of developing breast cancer in carriers of PVs by risk factor
View article: Data from Breast Cancer Risk Modification in Women with Pathogenic Variants in <i>BRCA1</i>, <i>BRCA2</i>, <i>ATM</i>, <i>CHEK2</i>, and <i>PALB2</i>
Data from Breast Cancer Risk Modification in Women with Pathogenic Variants in <i>BRCA1</i>, <i>BRCA2</i>, <i>ATM</i>, <i>CHEK2</i>, and <i>PALB2</i> Open
There are limited prospective data on whether established risk factors modify breast cancer risk in women with pathogenic variants (PV) in BRCA1/2 and virtually no risk modification data for ATM, CHEK2, or PALB2…
View article: Supplementary Table 1 from Breast Cancer Risk Modification in Women with Pathogenic Variants in <i>BRCA1</i>, <i>BRCA2</i>, <i>ATM</i>, <i>CHEK2</i>, and <i>PALB2</i>
Supplementary Table 1 from Breast Cancer Risk Modification in Women with Pathogenic Variants in <i>BRCA1</i>, <i>BRCA2</i>, <i>ATM</i>, <i>CHEK2</i>, and <i>PALB2</i> Open
Supplementary Table 1