Fan Xia, PhD

Associate Research Scientist (Cardiovascular Medicine)

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Associate Research Scientist (Cardiovascular Medicine)

Biography

Ivan is an Associate Research Scientist in the Nicoli Lab at Yale University, where he focuses on neurovascular development, microRNA function, and nanotechnology applications using zebrafish models. He earned his PhD in Biochemistry from The Hong Kong Polytechnic University, where he studied the immunomodulatory effects of selenium nanoparticles in zebrafish. In 2020, Ivan joined the Nicoli Lab to investigate the complex mechanisms of neurovascular development and the impact of cerebrovascular diseases. His research aims to understand how phenotypic variations are established during embryonic development and identify those that may predispose individuals to brain diseases. Ultimately, his goal is to predict and prevent cerebrovascular diseases. In 2022, for his research, Ivan received the prestigious AHA Postdoctoral Fellowship to support his work.

Last Updated on April 04, 2025.

Departments & Organizations

Internal Medicine
Nicoli Lab

Education & Training

PhD: The Hong Kong Polytechnic University, Biochemistry

Research

Research at a Glance

Publications Timeline

A big-picture view of Fan Xia's research output by year.

12Publications

242Citations

Publications

2026

Targeted reflex RNA sequencing for enhanced variant classification on exome and genome sequencing improves patient outcomes
Zhao X, Rigobello R, Driver M, Lau S, Chong M, Chibuk J, Dai H, Wu W, Peroutka C, Famularo L, Kim A, Hummel B, Dugan S, Douglas T, Meng L, Xia F, Eng C. Targeted reflex RNA sequencing for enhanced variant classification on exome and genome sequencing improves patient outcomes. Npj Genomic Medicine 2026, 11: 52. PMID: 42248868, PMCID: PMC13562735, DOI: 10.1038/s41525-026-00571-2.
Peer-Reviewed Original Research

2025

Diagnostic Yield of Exome Sequencing for Pregnancies With and Without Fetal Anomalies and for Stillbirth
Zemet R, Parobek C, Adams A, Maktabi M, Shay L, Meng L, Liu P, Dai H, Xia F, Eng C, Van den Veyver I, Vossaert L. Diagnostic Yield of Exome Sequencing for Pregnancies With and Without Fetal Anomalies and for Stillbirth. Prenatal Diagnosis 2025, 45: 1313-1324. PMID: 40423626, PMCID: PMC13050391, DOI: 10.1002/pd.6817.
Peer-Reviewed Original Research
Experiences from dual genome next-generation sequencing panel testing for mitochondrial disorders: a comprehensive molecular diagnosis
Gorman E, Dai H, Feng Y, Craigen W, Chen D, Xia F, Meng L, Liu P, Rigobello R, Neogi A, Eng C, Wang Y. Experiences from dual genome next-generation sequencing panel testing for mitochondrial disorders: a comprehensive molecular diagnosis. Frontiers In Genetics 2025, 16: 1488956. PMID: 40110048, PMCID: PMC11920145, DOI: 10.3389/fgene.2025.1488956.
Peer-Reviewed Original Research

2024

Untargeted metabolomics analysis as a potential screening tool for 3-methylglutaconic aciduria syndromes
DiFalco C, Gijavanekar C, Wang Y, Grace A, Machol K, Emrick L, Liu N, Mizerik E, Mackay L, Dai H, Vossaert L, Xia F, Elsea S, Scaglia F. Untargeted metabolomics analysis as a potential screening tool for 3-methylglutaconic aciduria syndromes. Molecular Genetics And Metabolism 2024, 144: 109009. PMID: 39787888, DOI: 10.1016/j.ymgme.2024.109009.
Peer-Reviewed Original Research
MeSH Keywords
Survey and improvement strategies for gene prioritization with large language models
Neeley M, Qi G, Wang G, Tang R, Mao D, Liu C, Pasupuleti S, Yuan B, Xia F, Liu P, Liu Z, Hu X. Survey and improvement strategies for gene prioritization with large language models. Bioinformatics Advances 2024, 5: vbaf148. PMID: 40666130, PMCID: PMC12263109, DOI: 10.1093/bioadv/vbaf148.
Peer-Reviewed Original Research
Refining the interpretation of variants of uncertain significance in hereditary cancer screening through integrated RNA sequencing
Sha Y, Ortiz J, Bristow S, Loranger K, Meng L, Zhao X, Xia F, Parmar S, ElNaggar A, Xu W. Refining the interpretation of variants of uncertain significance in hereditary cancer screening through integrated RNA sequencing. Genetics In Medicine Open 2024, 3: 101914. PMID: 39902189, PMCID: PMC11788803, DOI: 10.1016/j.gimo.2024.101914.
Peer-Reviewed Original Research
CffDNA screening for Niemann–pick disease, type C1: a case series
Lau S, Fawaz R, Rigobello R, Bawazeer S, Alajaji N, Faqeih E, Li Y, Feng Y, Xia F, Eng C, Abedalthagafi M. CffDNA screening for Niemann–pick disease, type C1: a case series. Frontiers In Medicine 2024, 11: 1390693. PMID: 39161410, PMCID: PMC11330825, DOI: 10.3389/fmed.2024.1390693.
Peer-Reviewed Original Research
AI-MARRVEL — A Knowledge-Driven AI System for Diagnosing Mendelian Disorders
Mao D, Liu C, Wang L, AI-Ouran R, Deisseroth C, Pasupuleti S, Kim S, Li L, Rosenfeld J, Meng L, Burrage L, Wangler M, Yamamoto S, Network U, Santana M, Perez V, Shukla P, Eng C, Lee B, Yuan B, Xia F, Bellen H, Liu P, Liu Z. AI-MARRVEL — A Knowledge-Driven AI System for Diagnosing Mendelian Disorders. NEJM AI 2024, 1: 10.1056/aioa2300009. PMID: 38962029, PMCID: PMC11221788, DOI: 10.1056/aioa2300009.
Peer-Reviewed Original Research

2023

The Latest Updates in Swept-Source Optical Coherence Tomography Angiography
Xia F, Hua R. The Latest Updates in Swept-Source Optical Coherence Tomography Angiography. Diagnostics 2023, 14: 47. PMID: 38201356, PMCID: PMC10795713, DOI: 10.3390/diagnostics14010047.
Commentaries, Editorials and Letters

2022

Clinical Experience With Non-invasive Prenatal Screening for Single-Gene Disorders
Mohan P, Lemoine J, Trotter C, Rakova I, Billings P, Peacock S, Kao C, Wang Y, Xia F, Eng C, Benn P. Clinical Experience With Non-invasive Prenatal Screening for Single-Gene Disorders. Obstetrical & Gynecological Survey 2022, 77: 391-393. DOI: 10.1097/ogx.0000000000001058.
Peer-Reviewed Original Research

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