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Professor of Genetic Epidemiology and Statistics
King's College portrait photo, 2013
Cathryn Lewis is Professor of Genetic Epidemiology and Statistics at
King's College London . She is Head of Department at the Social, Genetic and Developmental Psychiatry Centre,
Institute of Psychiatry, Psychology and Neuroscience .
[1]
She completed her BA in mathematics at
St. Hilda’s College, University of Oxford , and her PhD in statistics at the
University of Sheffield . She then spent five years at the University of Utah working on projects to identify
BRCA1 and
BRCA2 genes, before joining King’s College London in 1996.
[2] She now leads the Statistical Genetics Unit at King’s College London, a multi-disciplinary research group that develops and applies statistical methods to human genetics, to identify and characterise genes contributing to common, complex disorders.
[3]
In the
Psychiatric Genomics Consortium , the international collaboration for sharing and analysing genetic data, she co-chairs the Major Depressive Disorder Working Group, with Professor
Andrew McIntosh .
[4] She is an editor for journal Biological Psychiatry: Global Open Science.
[5] She was also an academic editor for journals
PLOS Medicine
[6] and an Associate Editor for
Human Heredity .
[7] She leads the
Medical Research Council 's Skills Development Fellowship programme at
King's College London .
[8]
She featured in a BBC news feature broadcast on the
Victoria Derbyshire (TV programme) , where
James Longman asked the question “Do you inherit your parent's mental illness?”
[9] and a mental health special issue of the BBC’s
Trust Me I’m a Doctor .
[10]
In 2010, Lewis was part of the "Music from the Genome" team which analysed the DNA from 40 members of the
New London Chamber Choir . These gene patterns were used to create a choral work, "Allele". The music subsequently won
Michael Zev Gordon the 2011
British Academy of Songwriters, Composers and Authors Composer of the Year award.
[11]
Selected publications
Lewis C, Vassos E (2020).
"Polygenic risk scores: from research tools to clinical instruments" .
Genome Medicine . 12 (44): 44.
doi :
10.1186/s13073-020-00742-5 .
PMC
7236300 .
PMID
32423490 .
Wray NR, Ripke S, Mattheisen M, et al. (May 2018).
"Genome-wide association analyses identify 44 risk variants and refine the genetic architecture of major depression" .
Nature Genetics . 50 (5): 668–681.
doi :
10.1038/s41588-018-0090-3 .
PMC
5934326 .
PMID
29700475 .
Power RA, Tansey KE, Buttenschøn HN, et al. (February 2017).
"Genome-wide Association for Major Depression Through Age at Onset Stratification: Major Depressive Disorder Working Group of the Psychiatric Genomics Consortium" .
Biological Psychiatry . 81 (4): 325–335.
doi :
10.1016/j.biopsych.2016.05.010 .
PMC
5262436 .
PMID
27519822 .
Lewis CM, Vassos E (November 2017).
"Prospects for using risk scores in polygenic medicine" .
Genome Medicine . 9 (1): 96.
doi :
10.1186/s13073-017-0489-y .
PMC
5683372 .
PMID
29132412 .
Euesden, J; Lewis, CM; O'Reilly, PF (May 2015).
"PRSice: Polygenic Risk Score software" . Bioinformatics . 31 (9): 1466–1468.
doi :
10.1093/bioinformatics/btu848 .
PMC
4410663 .
PMID
25550326 .
Vassos, Evangelos; Pedersen, Carsten B.; Murray, Robin M.; Collier, David A.; Lewis, Cathryn M. (2012).
"Meta-analysis of the association of urbanicity with schizophrenia" . Schizophrenia Bulletin . 38 (6): 1118–1123.
doi :
10.1093/schbul/sbs096 .
PMC
3494055 .
PMID
23015685 .
Lewis, Cathryn M.; Ng, Mandy Y.; Butler, Amy W.; Cohen-Woods, Sarah;
Uher, Rudolf ; Pirlo, Katrina; Weale, Michael E.; et al. (2010). "Genome-wide association study of major recurrent depression in the UK population". American Journal of Psychiatry . 167 (8): 949–957.
doi :
10.1176/appi.ajp.2010.09091380 .
PMID
20516156 .
Lewis, Cathryn M.; Levinson, Douglas F.; Wise, Lesley H.;
DeLisi, Lynn E. ; Straub, Richard E.; Hovatta, Iiris; Williams, Nigel M.; et al. (2003).
"Genome scan meta-analysis of schizophrenia and bipolar disorder, part II: Schizophrenia" . The American Journal of Human Genetics . 73 (1): 34–48.
doi :
10.1086/376549 .
PMC
1180588 .
PMID
12802786 .
References