Chris Tyler-Smith

Dr. Chris Tyler-Smith


Research Focus & Metrics

Academic Career Length

24Years (2003-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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11 January 2016 in Genome Biology
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Journal Article
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MHMarc Haber
Marc Haber
MMMassimo Mezzavilla
Massimo Mezzavilla
YXYali Xue
Yali Xue
CTChris Tyler-Smith
Chris Tyler-Smith
Ancient DNA research is revealing a human history far more complex than that inferred from parsimonious models based on modern DNA. Here, we review some of the key events in the peopling of the world in the light of the findings of work on ancient DNA.

20 March 2020 in Science
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Journal Article
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ABAnders Bergström
Anders Bergström
SMShane A. McCarthy
Shane A. McCarthy
RHRuoyun Hui
Ruoyun Hui
MAMohamed A. Almarri
Mohamed A. Almarri
QAQasim Ayub
Qasim Ayub
CTChris Tyler-Smith
Chris Tyler-Smith
Genomes from around the globe: Genomic sequencing of diverse human populations to understand overall genetic diversity has lagged behind in-depth examination of specific populations. To add to our understanding of human genetic diversity, Bergström et al. generated whole-genome sequences surveying individuals in the Human Genome Diversity Project, which is a panel of global populations that has been instrumental in understanding the history of human populations. The authors' study adds data about African, Oceanian, and Amerindian populations and indicates that diversity tends to result from differences at the single-nucleotide level rather than copy number variation. An analysis of archaic sequences in modern populations identifies ancestral genetic variation in African populations that likely predates modern humans and has been lost in most non-African populations. Science , this issue p. eaay5012

3 July 2013 in Human Genetics
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Journal Article
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David N. CooperDavid N. Cooper
David N. Cooper
MKMichael Krawczak
Michael Krawczak
CPConstantin Polychronakos
Constantin Polychronakos
CTChris Tyler-Smith
Chris Tyler-Smith
HKHildegard Kehrer-Sawatzki
Hildegard Kehrer-Sawatzki
Some individuals with a particular disease-causing mutation or genotype fail to express most if not all features of the disease in question, a phenomenon that is known as ‘reduced (or incomplete) penetrance’. Reduced penetrance is not uncommon; indeed, there are many known examples of ‘disease-causing mutations’ that fail to cause disease in at least a proportion of the individuals who carry them. Reduced penetrance may therefore explain not only why genetic diseases are occasionally transmitted through unaffected parents, but also why healthy individuals can harbour quite large numbers of potentially disadvantageous variants in their genomes without suffering any obvious ill effects. Reduced penetrance can be a function of the specific mutation(s) involved or of allele dosage. It may also result from differential allelic expression, copy number variation or the modulating influence of additional genetic variants in cis or in trans. The penetrance of some pathogenic genotypes is known to be age- and/or sex-dependent. Variable penetrance may also reflect the action of unlinked modifier genes, epigenetic changes or environmental factors. At least in some cases, complete penetrance appears to require the presence of one or more genetic variants at other loci. In this review, we summarize the evidence for reduced penetrance being a widespread phenomenon in human genetics and explore some of the molecular mechanisms that may help to explain this enigmatic characteristic of human inherited disease.

3 December 2014 in Nature
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DGDeepti Gurdasani
Deepti Gurdasani
TCTommy Carstensen
Tommy Carstensen
FAFasil Tekola Ayele
Fasil Tekola Ayele
LPLuca Pagani
Luca Pagani
ITIoanna Tachmazidou
Ioanna Tachmazidou
MSManjinder S. Sandhu
Manjinder S. Sandhu
Given the importance of Africa to studies of human origins and disease susceptibility, detailed characterization of African genetic diversity is needed. The African Genome Variation Project provides a resource with which to design, implement and interpret genomic studies in sub-Saharan Africa and worldwide. The African Genome Variation Project represents dense genotypes from 1,481 individuals and whole-genome sequences from 320 individuals across sub-Saharan Africa. Using this resource, we find novel evidence of complex, regionally distinct hunter-gatherer and Eurasian admixture across sub-Saharan Africa. We identify new loci under selection, including loci related to malaria susceptibility and hypertension. We show that modern imputation panels (sets of reference genotypes from which unobserved or missing genotypes in study sets can be inferred) can identify association signals at highly differentiated loci across populations in sub-Saharan Africa. Using whole-genome sequencing, we demonstrate further improvements in imputation accuracy, strengthening the case for large-scale sequencing efforts of diverse African haplotypes. Finally, we present an efficient genotype array design capturing common genetic variation in Africa.

10 April 2015 in Science
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Journal Article
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YXYali Xue
Yali Xue
JPJavier Prado-Martinez
Javier Prado-Martinez
PSPeter H. Sudmant
Peter H. Sudmant
VNVagheesh M Narasimhan
Vagheesh M Narasimhan
QAQasim Ayub
Qasim Ayub
ASAylwyn Scally
Aylwyn Scally
Genomes in the mist: The mountain gorilla is an iconic species that is at high risk of extinction. Xue et al. have sequenced 13 gorillas from two different populations to probe their genetic diversity. The genomes show large tracts of homozygosity and the loss of highly deleterious genetic variants, indicating population bottlenecks and inbreeding. This loss of genetic diversity appears to have started over 20,000 years ago and may have been caused by changes in climate and human-associated effects. Science , this issue p. 242

4 October 2013 in Science
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Journal Article
Closed access
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EKEkta Khurana
Ekta Khurana
YFYao Fu
Yao Fu
VCVincenza Colonna
Vincenza Colonna
XMXinmeng Jasmine Mu
Xinmeng Jasmine Mu
HKHyun Min Kang
Hyun Min Kang
MGMark Gerstein
Mark Gerstein
Identifying Important Identifiers: Each of us has millions of sequence variations in our genomes. Signatures of purifying or negative selection should help identify which of those variations is functionally important. Khurana et al. ( 1235587 ) used sequence polymorphisms from 1092 humans across 14 populations to identify patterns of selection, especially in noncoding regulatory regions. Noncoding regions under very strong negative selection included binding sites of some chromatin and general transcription factors (TFs) and core motifs of some important TF families. Positive selection in TF binding sites tended to occur in network hub promoters. Many recurrent somatic cancer variants occurred in noncoding regulatory regions and thus might indicate mutations that drive cancer.