Alt Text

Biochemistry Unit

The Biochemistry Unit serves as a reference center for specialised diagnostic services, providing comprehensive biochemical genetic testing to detect Inborn Errors of Metabolism (IEM), conducting biomedical research in IEM, and developing testing methods to identify incidence and diagnostic indicators. It also offers various training programs in biochemical genetics for researchers, trainees, and students from local and international institutions, and provides consultancy services in biochemical genetics to government and private hospitals, higher education institutions, and other organisations.

Executive Summary

Head of Biochemistry Unit

Dr. Azzah Hana Binti Abu Yamin

MD (UKM, Malaysia), Doctor of Pathology (Chemical Pathology) (UKM, Malaysia)

Google Scholar | ResearchGate

Telephone: +603-3362 7452

Email: azzahhana@moh.gov.my

Dr. Azzah Hana Binti Abu Yamin
Dr. Azzah Hana Binti Abu Yamin

Human Resource Profile

02

Specialists

05

Medical Officers

04

Science Officers

16

Support Staffs

Focus Area

Discovery, Investigation and Diagnostics, Treatment and Management, Prevention, Prediction

Scope: Rare genetic diseases

Highlights

  • Identification of biomarkers

  • Test method development, evaluation and validation

  • Metabolomics - Test method development, evaluation and validation

  • Population-based screening and epidemiology

  • Bioinformatics

Functions

Biochemistry IEM Diagnostics

Expert in providing consultation, data interpretation, and advisory support to ensure high-quality outcomes in IEM disorders in diagnosis and management.

Area of Expertise

  • High-end analyser platforms, including clinical chemistry analyser, LCMS/MS, HPLC, GCMS, spectrophotometry techniques

Biochemistry IEM Research

Expert guidance on IEM disorders research methodology, study design, and protocol development.

Area of Expertise

  • IEM disorders profiling, characterisation, and standardisation, including LCMS, HPLC, GCMS, spectrophotometry

Data Analysis

Expertise in analysis of metabolomics datasets to identify disease-causing variants, pathways, and potential therapeutic targets

Area of Expertise

  • Bioinformatics

  • Computational metabolomics

Gallery