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The Statistical Genetics Unit (SGU), led by Professor Cathryn Lewis, is a cross-school unit, comprising 20 researchers in the Social, Genetic & Developmental Psychiatry Centre (SGDP) (Institute of Psychiatry, Psychology & Neuroscience) and in the Department of Medical & Molecular Genetics (Faculty of Life Sciences & Medicine). Our aims are to develop and apply statistical methods to identify and characterise the genetic component to common, complex disorders. We analyse local studies in psychiatric disorders, data sets such as UK Biobank, and we contribute fully to international genetics consortia. SGU group members come from diverse academic backgrounds in statistics, psychology, genetics and clinical medicine, and we work collaboratively to make the most of everyone’s expertise.

Areas of research include:

  • Genome-wide association studies for major depressive disorder through the Psychiatric Genomics Consortium, and follow up studies
  • Pharmacogenetic studies identifying the genetic component for response to anti-depressants (AMBER)
  • Dissection of the genetic overlap between mental and physical disorders, focusing on depression and type 2 diabetes
  • Assessing the contribution of rare and common variation to psychiatric disorders and other traits
  • Risk prediction using polygenic risk scores, the heritable component of gene expression and environmental risk factors
  • UK Biobank studies to explore the predictors of healthy aging, physical activity, mental health disorders, cardiovascular disease and common cancers

People

Research student

Jonathan Coleman

Senior Lecturer in Statistical Genetics

Chiara Fabbri

Marie Skłodowska-Curie Fellow

Alexandra Gillett

Research Associate

Research Assistant

David Howard

MRC Career Development Award Fellow

Projects

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NIHR Maudsley BRC Biomarkers and Genomics

Our research group provides leadership and collaboration to ensure that genetics is used effectively in disorder prediction, response to treatment, and identifying novel drug targets.

PGC logo 780 x 420px
Psychiatric Genomics Consortium Major Depressive Disorder working group

The Psychiatric Genomics Consortium performs genome-wide association studies across psychiatric disorders and collaborators worldwide.

Image missing an alt value
AMBER: Antidepressant Medications: Biology, Exposure & Response

Insights into the ‘active ingredients’ of anti-depressants and infer how these drugs can better be used to treat depression.

Image missing an alt value
GenoPred

GenoPred aims to enhance the clinical utility of polygenic scores, investigating key research questions and developing best-practise tools.

Publications

    News

    Three quarters of people who have taken antidepressants say they were helpful

    75 per cent of a sample of nearly 20,000 people who have taken selective serotonin reuptake inhibitors (SSRIs) report they found them helpful, finds new...

    A woman holding a pill in one hand and a glass of water in the other, preparing to take her medicine.

    People

    Research student

    Jonathan Coleman

    Senior Lecturer in Statistical Genetics

    Chiara Fabbri

    Marie Skłodowska-Curie Fellow

    Alexandra Gillett

    Research Associate

    Research Assistant

    David Howard

    MRC Career Development Award Fellow

    Projects

    branscan image
    NIHR Maudsley BRC Biomarkers and Genomics

    Our research group provides leadership and collaboration to ensure that genetics is used effectively in disorder prediction, response to treatment, and identifying novel drug targets.

    PGC logo 780 x 420px
    Psychiatric Genomics Consortium Major Depressive Disorder working group

    The Psychiatric Genomics Consortium performs genome-wide association studies across psychiatric disorders and collaborators worldwide.

    Image missing an alt value
    AMBER: Antidepressant Medications: Biology, Exposure & Response

    Insights into the ‘active ingredients’ of anti-depressants and infer how these drugs can better be used to treat depression.

    Image missing an alt value
    GenoPred

    GenoPred aims to enhance the clinical utility of polygenic scores, investigating key research questions and developing best-practise tools.

    Publications

      News

      Three quarters of people who have taken antidepressants say they were helpful

      75 per cent of a sample of nearly 20,000 people who have taken selective serotonin reuptake inhibitors (SSRIs) report they found them helpful, finds new...

      A woman holding a pill in one hand and a glass of water in the other, preparing to take her medicine.

      Group lead