Julie-Alexia Dias

ORCID: 0000-0003-3039-9529
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About
Contact & Profiles
Research Areas
  • Genetic Associations and Epidemiology
  • Genetic Mapping and Diversity in Plants and Animals
  • Genetic and phenotypic traits in livestock
  • Nutrition and Health in Aging
  • Body Composition Measurement Techniques
  • BRCA gene mutations in cancer
  • Pancreatitis Pathology and Treatment
  • Atrial Fibrillation Management and Outcomes
  • Blood Pressure and Hypertension Studies
  • Acute Lymphoblastic Leukemia research
  • Muscle metabolism and nutrition
  • Gene expression and cancer classification
  • Epigenetics and DNA Methylation
  • Childhood Cancer Survivors' Quality of Life
  • Renal function and acid-base balance

Harvard University
2022-2025

Dana-Farber Cancer Institute
2023

Kangcheng Hou Stephanie M. Gogarten Joohyun Kim Xing Hua Julie-Alexia Dias and 95 more Quan Sun Ying Wang Taotao Tan Sally N. Adebamowo Adebowale Adeyemo Paul L. Auer Taoufik Bensellak Sonja I. Berndt Rohan Bhukar Hongyuan Cao Clinton L. Cario Nilanjan Chatterjee Jiawen Chen Tinashe Chikowore Ananyo Choudhury Matthew P. Conomos David V. Conti Sinéad Cullina Burcu F. Darst Yi Ding Ruocheng Dong Rui Duan Yasmina Jaufeerally Fakim Nora Franceschini Tian Ge Anisah W. Ghoorah Chris Gignoux Stephanie M. Gogarten Neil A. Hanchard Rachel Hanisch Michael A. Hauser Scott Hazelhurst Jibril Hirbo Whitney Hornsby Kangcheng Hou Xing Hua Alicia Huerta Micah R Hysong Jin Jin Angad Johar Jon Judd Linda Kachuri Abram Bunya Kamiza Eimear Kenny Alyna Khan E. P. Kharitonova Joohyun Kim Iain R. Konigsberg Charles Kooperberg Matt L. Kosel Iftikhar J. Kullo Ethan M. Lange Yun Li Qing Li Maria Bouvy‐Liivrand Kirk E. Lohmueller Kevin GuoKai Lu Ravi Mandla Alisa K. Manning Iman K. Martin Alicia R. Martin Shannon K. McDonnell Leah E. Mechanic Josep Mercader Rachel Mester Maggie C. Y. Ng Kevin T. Nguyen Kristján Norland Franklin Ockerman Loes M. Olde Loohuis Ebuka Onyenobi Bogdan Paşaniuc Aniruddh D. Patel Ella Petter Kenneth Rice Joseph H. Rothstein Bryce Rowan Robb Rowley Yunfeng Ruan Sriram Sankararaman Ambra Sartori Dan Schaid Ruhollah Shemirani Jonathan Shortt Xueling Sim Johanna L. Smith Maggie A. Stanislawski Daniel O. Stram Quan Sun Bamidele O. Tayo Buu Truong Kristin Tsuo Sarah Urbut Ying Wang Ying Wang

Abstract Summary Admixed populations, with their unique and diverse genetic backgrounds, are often underrepresented in studies. This oversight not only limits our understanding but also exacerbates existing health disparities. One major barrier has been the lack of efficient tools tailored for special challenges studies admixed populations. Here, we present admix-kit, an integrated toolkit pipeline analyses Admix-kit implements a suite methods to facilitate genotype phenotype simulation,...

10.1093/bioinformatics/btae148 article EN cc-by Bioinformatics 2024-03-15

Abstract The increasing availability of diverse biobanks has enabled multi-ancestry genome-wide association studies (GWAS), enhancing the discovery genetic variants across traits and diseases. However, choice an optimal method remains debated due to challenges in statistical power differences ancestral groups approaches account for population structure. Two primary strategies exist: (1) Pooled analysis, which combines individuals from all backgrounds into a single dataset while adjusting...

10.1101/2025.03.11.25323772 preprint EN public-domain medRxiv (Cold Spring Harbor Laboratory) 2025-03-12

Abstract Introduction: Breast cancer genome-wide association studies (GWAS) have identified over 200 susceptibility loci, many replicated in diverse populations. However, cross-ancestry evaluation of breast genetic architecture remains limited. We examined using GWAS summary results from European (EUR; cases (ca) = 188,474, controls (co) 96,201), East Asian (EAS; ca 20,393, co 86,329), African American (AA; 9,235, 10,184), and US Hispanic/Latina Latin (H/L; 2,396, =7,468) studies. Methods:...

10.1158/1538-7445.am2025-2282 article EN Cancer Research 2025-04-21

Abstract Summary Admixed populations, with their unique and diverse genetic backgrounds, are often underrepresented in studies. This oversight not only limits our understanding but also exacerbates existing health disparities. One major barrier has been the lack of efficient tools tailored for special challenges study admixed populations. Here, we present admix-kit, an integrated toolkit pipeline analyses Admix-kit implements a suite methods to facilitate genotype phenotype simulation,...

10.1101/2023.09.30.560263 preprint EN cc-by-nc-nd bioRxiv (Cold Spring Harbor Laboratory) 2023-10-02

Prostate cancer and its treatment may induce muscle wasting. Body composition functionality are rarely assessed in patients with prostate from developing countries due to the limited availability of high-quality equipment for routine diagnosis. This cross-sectional study evaluated association between several simplistic techniques assessing mass function a more complex standard reference wasting among Mexican men cancer. Muscle was highly prevalent, yet it presumably associated aging rather...

10.1038/s41598-022-08501-9 article EN cc-by Scientific Reports 2022-03-18

Many pathogenic sequence variants (PSVs) have been associated with increased risk of cancers. Mendelian prediction models use laws inheritance to predict the probability having a PSV based on family history, as well specified frequency and penetrance (agespecific developing cancer given genotype). Most existing assume is same for any PSVs in certain gene. However, some genes (for example, BRCA1/2), does vary by PSV. We propose an extension relax assumption that gene incorporating...

10.1101/2023.03.06.531363 preprint EN bioRxiv (Cold Spring Harbor Laboratory) 2023-03-08
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