作者
Ruth Johnson, Yi Ding, Vidhya Venkateswaran, Arjun Bhattacharya, Kristin Boulier, Alec Chiu, Sergey Knyazev, Tommer Schwarz, Malika Freund, Lingyu Zhan, Kathryn S Burch, Christa Caggiano, Brian Hill, Nadav Rakocz, Brunilda Balliu, Christopher T Denny, Jae Hoon Sul, Noah Zaitlen, Valerie A Arboleda, Eran Halperin, Sriram Sankararaman, Manish J Butte, UCLA Precision Health Data Discovery Repository Working Group, UCLA Precision Health ATLAS Working Group, Clara Lajonchere, Daniel H Geschwind, Bogdan Pasaniuc
发表日期
2022/9/9
期刊
Genome medicine
卷号
14
期号
1
页码范围
104
出版商
BioMed Central
简介
Background
Large medical centers in urban areas, like Los Angeles, care for a diverse patient population and offer the potential to study the interplay between genetic ancestry and social determinants of health. Here, we explore the implications of genetic ancestry within the University of California, Los Angeles (UCLA) ATLAS Community Health Initiative—an ancestrally diverse biobank of genomic data linked with de-identified electronic health records (EHRs) of UCLA Health patients (N=36,736).
Methods
We quantify the extensive continental and subcontinental genetic diversity within the ATLAS data through principal component analysis, identity-by-descent, and genetic admixture. We assess the relationship between genetically inferred ancestry (GIA) and >1500 EHR-derived phenotypes (phecodes). Finally, we demonstrate the utility of genetic data linked with EHR to perform ancestry-specific and multi-ancestry …
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R Johnson, Y Ding, V Venkateswaran, A Bhattacharya… - Genome medicine, 2022
R Johnson, Y Ding, V Venkateswaran, A Bhattacharya… - medRxiv, 2021