Ben Kinnersley

Dr. Ben Kinnersley

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Research Focus & Metrics

Academic Career Length

15Years (2012-Present)

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

Representative Publications

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1 June 2014 in Nature Genetics
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YWYufei Wang
Yufei Wang
JMJames D McKay
James D McKay
TRThorunn Rafnar
Thorunn Rafnar
ZWZhaoming Wang
Zhaoming Wang
MTMaria N Timofeeva
Maria N Timofeeva
CAChristopher I Amos
Christopher I Amos
Richard Houlston, Maria Teresa Landi and colleagues report the identification of large-effect associations for squamous lung cancer with rare variants in BRCA2 and CHEK2. We conducted imputation to the 1000 Genomes Project of four genome-wide association studies of lung cancer in populations of European ancestry (11,348 cases and 15,861 controls) and genotyped an additional 10,246 cases and 38,295 controls for follow-up. We identified large-effect genome-wide associations for squamous lung cancer with the rare variants BRCA2 p.Lys3326X (rs11571833, odds ratio (OR) = 2.47, P = 4.74 × 10−20) and CHEK2 p.Ile157Thr (rs17879961, OR = 0.38, P = 1.27 × 10−13). We also showed an association between common variation at 3q28 (TP63, rs13314271, OR = 1.13, P = 7.22 × 10−10) and lung adenocarcinoma that had been previously reported only in Asians. These findings provide further evidence for inherited genetic susceptibility to lung cancer and its biological basis. Additionally, our analysis demonstrates that imputation can identify rare disease-causing variants with substantive effects on cancer risk from preexisting genome-wide association study data.

13 October 2017 in Nature Reviews Cancer
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ASAmit Sud
Amit Sud
BKBen Kinnersley
Ben Kinnersley
Richard HoulstonRichard Houlston
Richard Houlston

27 March 2017 in Nature Genetics
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Journal Article
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Beatrice MelinBeatrice Melin
Beatrice Melin
JBJill S Barnholtz-Sloan
Jill S Barnholtz-Sloan
MWMargaret R Wrensch
Margaret R Wrensch
CJChristoffer Johansen
Christoffer Johansen
DIDora Il'YAsova
Dora Il'YAsova
MBMelissa L Bondy
Melissa L Bondy

7 August 2024 in Nature
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ACAlex J. Cornish
Alex J. Cornish
AGAndreas Gruber
Andreas Gruber
BKBen Kinnersley
Ben Kinnersley
DCDaniel Chubb
Daniel Chubb
AFAnna Frangou
Anna Frangou
Richard HoulstonRichard Houlston
Richard Houlston
Colorectal carcinoma (CRC) is a common cause of mortality1, but a comprehensive description of its genomic landscape is lacking2–9. Here we perform whole-genome sequencing of 2,023 CRC samples from participants in the UK 100,000 Genomes Project, thereby providing a highly detailed somatic mutational landscape of this cancer. Integrated analyses identify more than 250 putative CRC driver genes, many not previously implicated in CRC or other cancers, including several recurrent changes outside the coding genome. We extend the molecular pathways involved in CRC development, define four new common subgroups of microsatellite-stable CRC based on genomic features and show that these groups have independent prognostic associations. We also characterize several rare molecular CRC subgroups, some with potential clinical relevance, including cancers with both microsatellite and chromosomal instability. We demonstrate a spectrum of mutational profiles across the colorectum, which reflect aetiological differences. These include the role of Escherichiacolipks+ colibactin in rectal cancers10 and the importance of the SBS93 signature11–13, which suggests that diet or smoking is a risk factor. Immune-escape driver mutations14 are near-ubiquitous in hypermutant tumours and occur in about half of microsatellite-stable CRCs, often in the form of HLA copy number changes. Many driver mutations are actionable, including those associated with rare subgroups (for example, BRCA1 and IDH1), highlighting the role of whole-genome sequencing in optimizing patient care.

22 June 2016 in Nature Communications
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DCDaniel Chubb
Daniel Chubb
PBPeter Broderick
Peter Broderick
SDSara E. Dobbins
Sara E. Dobbins
MFMatthew Frampton
Matthew Frampton
BKBen Kinnersley
Ben Kinnersley
Richard HoulstonRichard Houlston
Richard Houlston
Colorectal cancer (CRC) displays a complex pattern of inheritance. It is postulated that much of the missing heritability of CRC is enshrined in high-impact rare alleles, which are mechanistically and clinically important. In this study, we assay the impact of rare germline mutations on CRC, analysing high-coverage exome sequencing data on 1,006 early-onset familial CRC cases and 1,609 healthy controls, with additional sequencing and array data on up to 5,552 cases and 6,792 controls. We identify highly penetrant rare mutations in 16% of familial CRC. Although the majority of these reside in known genes, we identify POT1, POLE2 and MRE11 as candidate CRC genes. We did not identify any coding low-frequency alleles (1–5%) with moderate effect. Our study clarifies the genetic architecture of CRC and probably discounts the existence of further major high-penetrance susceptibility genes, which individually account for >1% of the familial risk. Our results inform future study design and provide a resource for contextualizing the impact of new CRC genes.

15 April 2014 in Human Molecular Genetics
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Journal Article
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NWNicola Whiffin
Nicola Whiffin
FHFay J. Hosking
Fay J. Hosking
SFSusan M. Farrington
Susan M. Farrington
Claire PallesClaire Palles
Claire Palles
SDSara E. Dobbins
Sara E. Dobbins
MDMalcolm G. Dunlop
Malcolm G. Dunlop
To identify common variants influencing colorectal cancer (CRC) risk, we performed a meta-analysis of five genome-wide association studies, comprising 5626 cases and 7817 controls of European descent. We conducted replication of top ranked single nucleotide polymorphisms (SNPs) in additional series totalling 14 037 cases and 15 937 controls, identifying a new CRC risk locus at 10q24.2 [rs1035209; odds ratio (OR) = 1.13, P = 4.54 × 10−11]. We also performed meta-analysis of our studies, with previously published data, of several recently purported CRC risk loci. We failed to find convincing evidence for a previously reported genome-wide association at rs11903757 (2q32.3). Of the three additional loci for which evidence of an association in Europeans has been previously described we failed to show an association between rs59336 (12q24.21) and CRC risk. However, for the other two SNPs, our analyses demonstrated new, formally significant associations with CRC. These are rs3217810 intronic in CCND2 (12p13.32; OR = 1.19, P = 2.16 × 10−10) and rs10911251 near LAMC1 (1q25.3; OR = 1.09, P = 1.75 × 10−8). Additionally, we found some evidence to support a relationship between, rs647161, rs2423297 and rs10774214 and CRC risk originally identified in East Asians in our European datasets. Our findings provide further insights into the genetic and biological basis of inherited genetic susceptibility to CRC.