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Predicting novel candidate human obesity genes and their site of action by systematic functional screening in Drosophila.

PLoS biology

Agrawal N, Lawler K, Davidson CM, Keogh JM, Legg R, Barroso I, Farooqi IS, Brand AH.
PMID: 34748544
PLoS Biol. 2021 Nov 08;19(11):e3001255. doi: 10.1371/journal.pbio.3001255. eCollection 2021 Nov.

The discovery of human obesity-associated genes can reveal new mechanisms to target for weight loss therapy. Genetic studies of obese individuals and the analysis of rare genetic variants can identify novel obesity-associated genes. However, establishing a functional relationship between...

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Agrawal N, Lawler K, Davidson CM, et al. Predicting novel candidate human obesity genes and their site of action by systematic functional screening in Drosophila. PLoS Biol. 2021;19(11):e3001255doi: 10.1371/journal.pbio.3001255.
Agrawal, N., Lawler, K., Davidson, C. M., Keogh, J. M., Legg, R., Barroso, I., Farooqi, I. S., & Brand, A. H. (2021). Predicting novel candidate human obesity genes and their site of action by systematic functional screening in Drosophila. PLoS biology, 19(11), e3001255. https://doi.org/10.1371/journal.pbio.3001255
Agrawal, Neha, et al. "Predicting novel candidate human obesity genes and their site of action by systematic functional screening in Drosophila." PLoS biology vol. 19,11 (2021): e3001255. doi: https://doi.org/10.1371/journal.pbio.3001255
Agrawal N, Lawler K, Davidson CM, Keogh JM, Legg R, Barroso I, Farooqi IS, Brand AH. Predicting novel candidate human obesity genes and their site of action by systematic functional screening in Drosophila. PLoS Biol. 2021 Nov 08;19(11):e3001255. doi: 10.1371/journal.pbio.3001255. eCollection 2021 Nov. PMID: 34748544; PMCID: PMC8575313.
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Predicting novel candidate human obesity genes and their site of action by systematic functional screening in Drosophila.

PLoS biology

Agrawal N, Lawler K, Davidson CM, Keogh JM, Legg R, Barroso I, Farooqi IS, Brand AH.
PMID: 34748544
PLoS Biol. 2021 Nov 08;19(11):e3001255. doi: 10.1371/journal.pbio.3001255. eCollection 2021 Nov.

The discovery of human obesity-associated genes can reveal new mechanisms to target for weight loss therapy. Genetic studies of obese individuals and the analysis of rare genetic variants can identify novel obesity-associated genes. However, establishing a functional relationship between...

Cite
Agrawal N, Lawler K, Davidson CM, et al. Predicting novel candidate human obesity genes and their site of action by systematic functional screening in Drosophila. PLoS Biol. 2021;19(11):e3001255doi: 10.1371/journal.pbio.3001255.
Agrawal, N., Lawler, K., Davidson, C. M., Keogh, J. M., Legg, R., Barroso, I., Farooqi, I. S., & Brand, A. H. (2021). Predicting novel candidate human obesity genes and their site of action by systematic functional screening in Drosophila. PLoS biology, 19(11), e3001255. https://doi.org/10.1371/journal.pbio.3001255
Agrawal, Neha, et al. "Predicting novel candidate human obesity genes and their site of action by systematic functional screening in Drosophila." PLoS biology vol. 19,11 (2021): e3001255. doi: https://doi.org/10.1371/journal.pbio.3001255
Agrawal N, Lawler K, Davidson CM, Keogh JM, Legg R, Barroso I, Farooqi IS, Brand AH. Predicting novel candidate human obesity genes and their site of action by systematic functional screening in Drosophila. PLoS Biol. 2021 Nov 08;19(11):e3001255. doi: 10.1371/journal.pbio.3001255. eCollection 2021 Nov. PMID: 34748544; PMCID: PMC8575313.
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Optimizing Surveillance and Re-intervention Strategy Following Elective Endovascular Repair of Abdominal Aortic Aneurysms.

Annals of surgery

Kim LG, Sweeting MJ, Epstein D, Venermo M, Rohlffs FEV, Greenhalgh RM.
PMID: 31592810
Ann Surg. 2021 Dec 01;274(6):e589-e598. doi: 10.1097/SLA.0000000000003625.

BACKGROUND: EVAR for abdominal aortic aneurysm has an initial survival advantage over OR, but more frequent complications increase costs and long-term aneurysm-related mortality. Randomized controlled trials of EVAR versus OR have shown EVAR is not cost-effective over a patient's...

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Kim LG, Sweeting MJ, Epstein D, et al. Optimizing Surveillance and Re-intervention Strategy Following Elective Endovascular Repair of Abdominal Aortic Aneurysms. Ann Surg. 2021;274(6):e589-e598doi: 10.1097/SLA.0000000000003625.
Kim, L. G., Sweeting, M. J., Epstein, D., Venermo, M., Rohlffs, F. E. V., & Greenhalgh, R. M. (2021). Optimizing Surveillance and Re-intervention Strategy Following Elective Endovascular Repair of Abdominal Aortic Aneurysms. Annals of surgery, 274(6), e589-e598. https://doi.org/10.1097/SLA.0000000000003625
Kim, Lois G, et al. "Optimizing Surveillance and Re-intervention Strategy Following Elective Endovascular Repair of Abdominal Aortic Aneurysms." Annals of surgery vol. 274,6 (2021): e589-e598. doi: https://doi.org/10.1097/SLA.0000000000003625
Kim LG, Sweeting MJ, Epstein D, Venermo M, Rohlffs FEV, Greenhalgh RM. Optimizing Surveillance and Re-intervention Strategy Following Elective Endovascular Repair of Abdominal Aortic Aneurysms. Ann Surg. 2021 Dec 01;274(6):e589-e598. doi: 10.1097/SLA.0000000000003625. PMID: 31592810.
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Assessment of patient-derived tumour xenografts (PDXs) as a discovery tool for cancer epigenomics.

Genome medicine

Guilhamon P, Butcher LM, Presneau N, Wilson GA, Feber A, Paul DS, Schütte M, Haybaeck J, Keilholz U, Hoffman J, Ross MT, Flanagan AM, Beck S.
PMID: 25587359
Genome Med. 2014 Dec 12;6(12):116. doi: 10.1186/s13073-014-0116-0. eCollection 2014.

BACKGROUND: The use of tumour xenografts is a well-established research tool in cancer genomics but has not yet been comprehensively evaluated for cancer epigenomics.METHODS: In this study, we assessed the suitability of patient-derived tumour xenografts (PDXs) for methylome analysis...

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Guilhamon P, Butcher LM, Presneau N, et al. Assessment of patient-derived tumour xenografts (PDXs) as a discovery tool for cancer epigenomics. Genome Med. 2014;6(12):116doi: 10.1186/s13073-014-0116-0.
Guilhamon, P., Butcher, L. M., Presneau, N., Wilson, G. A., Feber, A., Paul, D. S., Schütte, M., Haybaeck, J., Keilholz, U., Hoffman, J., Ross, M. T., Flanagan, A. M., & Beck, S. (2014). Assessment of patient-derived tumour xenografts (PDXs) as a discovery tool for cancer epigenomics. Genome medicine, 6(12), 116. https://doi.org/10.1186/s13073-014-0116-0
Guilhamon, Paul, et al. "Assessment of patient-derived tumour xenografts (PDXs) as a discovery tool for cancer epigenomics." Genome medicine vol. 6,12 (2014): 116. doi: https://doi.org/10.1186/s13073-014-0116-0
Guilhamon P, Butcher LM, Presneau N, Wilson GA, Feber A, Paul DS, Schütte M, Haybaeck J, Keilholz U, Hoffman J, Ross MT, Flanagan AM, Beck S. Assessment of patient-derived tumour xenografts (PDXs) as a discovery tool for cancer epigenomics. Genome Med. 2014 Dec 12;6(12):116. doi: 10.1186/s13073-014-0116-0. eCollection 2014. PMID: 25587359; PMCID: PMC4292812.
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What indeed can be tested with an instrumental variable?.

European journal of epidemiology

Burgess S.
PMID: 29938329
Eur J Epidemiol. 2018 Aug;33(8):695-697. doi: 10.1007/s10654-018-0423-7.

No abstract available.

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Burgess S. What indeed can be tested with an instrumental variable?. Eur J Epidemiol. 2018;33(8):695-697doi: 10.1007/s10654-018-0423-7.
Burgess, S. (2018). What indeed can be tested with an instrumental variable?. European journal of epidemiology, 33(8), 695-697. https://doi.org/10.1007/s10654-018-0423-7
Burgess, Stephen. "What indeed can be tested with an instrumental variable?." European journal of epidemiology vol. 33,8 (2018): 695-697. doi: https://doi.org/10.1007/s10654-018-0423-7
Burgess S. What indeed can be tested with an instrumental variable?. Eur J Epidemiol. 2018 Aug;33(8):695-697. doi: 10.1007/s10654-018-0423-7. PMID: 29938329.
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Ten simple rules to make your computing more environmentally sustainable.

PLoS computational biology

Lannelongue L, Grealey J, Bateman A, Inouye M.
PMID: 34543272
PLoS Comput Biol. 2021 Sep 20;17(9):e1009324. doi: 10.1371/journal.pcbi.1009324. eCollection 2021 Sep.

No abstract available.

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Lannelongue L, Grealey J, Bateman A, et al. Ten simple rules to make your computing more environmentally sustainable. PLoS Comput Biol. 2021;17(9):e1009324doi: 10.1371/journal.pcbi.1009324.
Lannelongue, L., Grealey, J., Bateman, A., & Inouye, M. (2021). Ten simple rules to make your computing more environmentally sustainable. PLoS computational biology, 17(9), e1009324. https://doi.org/10.1371/journal.pcbi.1009324
Lannelongue, Loïc, et al. "Ten simple rules to make your computing more environmentally sustainable." PLoS computational biology vol. 17,9 (2021): e1009324. doi: https://doi.org/10.1371/journal.pcbi.1009324
Lannelongue L, Grealey J, Bateman A, Inouye M. Ten simple rules to make your computing more environmentally sustainable. PLoS Comput Biol. 2021 Sep 20;17(9):e1009324. doi: 10.1371/journal.pcbi.1009324. eCollection 2021 Sep. PMID: 34543272; PMCID: PMC8452068.
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Dietary Fatty Acids, Macronutrient Substitutions, Food Sources and Incidence of Coronary Heart Disease: Findings From the EPIC-CVD Case-Cohort Study Across Nine European Countries.

Journal of the American Heart Association

Steur M, Johnson L, Sharp SJ, Imamura F, Sluijs I, Key TJ, Wood A, Chowdhury R, Guevara M, Jakobsen MU, Johansson I, Koulman A, Overvad K, Sánchez MJ, van der Schouw YT, Trichopoulou A, Weiderpass E, Wennberg M, Zheng JS, Boeing H, Boer JMA, Boutron-Ruault MC, Ericson U, Heath AK, Huybrechts I, Imaz L, Kaaks R, Krogh V, Kühn T, Kyrø C, Masala G, Melander O, Moreno-Iribas C, Panico S, Quirós JR, Rodríguez-Barranco M, Sacerdote C, Santiuste C, Skeie G, Tjønneland A, Tumino R, Verschuren WMM, Zamora-Ros R, Dahm CC, Perez-Cornago A, Schulze MB, Tong TYN, Riboli E, Wareham NJ, Danesh J, Butterworth AS, Forouhi NG.
PMID: 34796724
J Am Heart Assoc. 2021 Dec 07;10(23):e019814. doi: 10.1161/JAHA.120.019814. Epub 2021 Nov 19.

Background There is controversy about associations between total dietary fatty acids, their classes (saturated fatty acids [SFAs], monounsaturated fatty acids, and polyunsaturated fatty acids), and risk of coronary heart disease (CHD). Specifically, the relevance of food sources of SFAs...

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Steur M, Johnson L, Sharp SJ, et al. Dietary Fatty Acids, Macronutrient Substitutions, Food Sources and Incidence of Coronary Heart Disease: Findings From the EPIC-CVD Case-Cohort Study Across Nine European Countries. J Am Heart Assoc. 2021;10(23):e019814doi: 10.1161/JAHA.120.019814.
Steur, M., Johnson, L., Sharp, S. J., Imamura, F., Sluijs, I., Key, T. J., Wood, A., Chowdhury, R., Guevara, M., Jakobsen, M. U., Johansson, I., Koulman, A., Overvad, K., Sánchez, M. J., van der Schouw, Y. T., Trichopoulou, A., Weiderpass, E., Wennberg, M., Zheng, J. S., Boeing, H., Boer, J. M. A., Boutron-Ruault, M. C., Ericson, U., Heath, A. K., Huybrechts, I., Imaz, L., Kaaks, R., Krogh, V., Kühn, T., Kyrø, C., Masala, G., Melander, O., Moreno-Iribas, C., Panico, S., Quirós, J. R., Rodríguez-Barranco, M., Sacerdote, C., Santiuste, C., Skeie, G., Tjønneland, A., Tumino, R., Verschuren, W. M. M., Zamora-Ros, R., Dahm, C. C., Perez-Cornago, A., Schulze, M. B., Tong, T. Y. N., Riboli, E., Wareham, N. J., Danesh, J., Butterworth, A. S., & Forouhi, N. G. (2021). Dietary Fatty Acids, Macronutrient Substitutions, Food Sources and Incidence of Coronary Heart Disease: Findings From the EPIC-CVD Case-Cohort Study Across Nine European Countries. Journal of the American Heart Association, 10(23), e019814. https://doi.org/10.1161/JAHA.120.019814
Steur, Marinka, et al. "Dietary Fatty Acids, Macronutrient Substitutions, Food Sources and Incidence of Coronary Heart Disease: Findings From the EPIC-CVD Case-Cohort Study Across Nine European Countries." Journal of the American Heart Association vol. 10,23 (2021): e019814. doi: https://doi.org/10.1161/JAHA.120.019814
Steur M, Johnson L, Sharp SJ, Imamura F, Sluijs I, Key TJ, Wood A, Chowdhury R, Guevara M, Jakobsen MU, Johansson I, Koulman A, Overvad K, Sánchez MJ, van der Schouw YT, Trichopoulou A, Weiderpass E, Wennberg M, Zheng JS, Boeing H, Boer JMA, Boutron-Ruault MC, Ericson U, Heath AK, Huybrechts I, Imaz L, Kaaks R, Krogh V, Kühn T, Kyrø C, Masala G, Melander O, Moreno-Iribas C, Panico S, Quirós JR, Rodríguez-Barranco M, Sacerdote C, Santiuste C, Skeie G, Tjønneland A, Tumino R, Verschuren WMM, Zamora-Ros R, Dahm CC, Perez-Cornago A, Schulze MB, Tong TYN, Riboli E, Wareham NJ, Danesh J, Butterworth AS, Forouhi NG. Dietary Fatty Acids, Macronutrient Substitutions, Food Sources and Incidence of Coronary Heart Disease: Findings From the EPIC-CVD Case-Cohort Study Across Nine European Countries. J Am Heart Assoc. 2021 Dec 07;10(23):e019814. doi: 10.1161/JAHA.120.019814. Epub 2021 Nov 19. PMID: 34796724.
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Risk Prediction Using Polygenic Risk Scores for Prevention of Stroke and Other Cardiovascular Diseases.

Stroke

Abraham G, Rutten-Jacobs L, Inouye M.
PMID: 34399584
Stroke. 2021 Aug;52(9):2983-2991. doi: 10.1161/STROKEAHA.120.032619. Epub 2021 Aug 17.

Early prediction of risk of cardiovascular disease (CVD), including stroke, is a cornerstone of disease prevention. Clinical risk scores have been widely used for predicting CVD risk from known risk factors. Most CVDs have a substantial genetic component, which...

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Abraham G, Rutten-Jacobs L, Inouye M. Risk Prediction Using Polygenic Risk Scores for Prevention of Stroke and Other Cardiovascular Diseases. Stroke. 2021;52(9):2983-2991doi: 10.1161/STROKEAHA.120.032619.
Abraham, G., Rutten-Jacobs, L., & Inouye, M. (2021). Risk Prediction Using Polygenic Risk Scores for Prevention of Stroke and Other Cardiovascular Diseases. Stroke, 52(9), 2983-2991. https://doi.org/10.1161/STROKEAHA.120.032619
Abraham, Gad, et al. "Risk Prediction Using Polygenic Risk Scores for Prevention of Stroke and Other Cardiovascular Diseases." Stroke vol. 52,9 (2021): 2983-2991. doi: https://doi.org/10.1161/STROKEAHA.120.032619
Abraham G, Rutten-Jacobs L, Inouye M. Risk Prediction Using Polygenic Risk Scores for Prevention of Stroke and Other Cardiovascular Diseases. Stroke. 2021 Aug;52(9):2983-2991. doi: 10.1161/STROKEAHA.120.032619. Epub 2021 Aug 17. PMID: 34399584; PMCID: PMC7611731.
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Responsible use of polygenic risk scores in the clinic: potential benefits, risks and gaps.

Nature medicine

[No authors listed]
PMID: 34782789
Nat Med. 2021 Nov;27(11):1876-1884. doi: 10.1038/s41591-021-01549-6. Epub 2021 Nov 15.

Polygenic risk scores (PRSs) aggregate the many small effects of alleles across the human genome to estimate the risk of a disease or disease-related trait for an individual. The potential benefits of PRSs include cost-effective enhancement of primary disease...

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Responsible use of polygenic risk scores in the clinic: potential benefits, risks and gaps. Nat Med. 2021;27(11):1876-1884doi: 10.1038/s41591-021-01549-6.
(2021). Responsible use of polygenic risk scores in the clinic: potential benefits, risks and gaps. Nature medicine, 27(11), 1876-1884. https://doi.org/10.1038/s41591-021-01549-6
"Responsible use of polygenic risk scores in the clinic: potential benefits, risks and gaps." Nature medicine vol. 27,11 (2021): 1876-1884. doi: https://doi.org/10.1038/s41591-021-01549-6
Responsible use of polygenic risk scores in the clinic: potential benefits, risks and gaps. Nat Med. 2021 Nov;27(11):1876-1884. doi: 10.1038/s41591-021-01549-6. Epub 2021 Nov 15. PMID: 34782789.
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A Bayesian model-free approach to combination therapy phase I trials using censored time-to-toxicity data.

Journal of the Royal Statistical Society. Series C, Applied statistics

Wheeler GM, Sweeting MJ, Mander AP.
PMID: 30880843
J R Stat Soc Ser C Appl Stat. 2019 Feb;68(2):309-329. doi: 10.1111/rssc.12323. Epub 2018 Nov 22.

The product of independent beta probabilities escalation (PIPE) design for dual-agent phase I dose-escalation trials is a Bayesian model-free approach for identifying multiple maximum tolerated dose combinations of novel combination therapies. Despite only being published in 2015, the PIPE...

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Wheeler GM, Sweeting MJ, Mander AP. A Bayesian model-free approach to combination therapy phase I trials using censored time-to-toxicity data. J R Stat Soc Ser C Appl Stat. 2018;68(2):309-329doi: 10.1111/rssc.12323.
Wheeler, G. M., Sweeting, M. J., & Mander, A. P. (2019). A Bayesian model-free approach to combination therapy phase I trials using censored time-to-toxicity data. Journal of the Royal Statistical Society. Series C, Applied statistics, 68(2), 309-329. https://doi.org/10.1111/rssc.12323
Wheeler, Graham M, et al. "A Bayesian model-free approach to combination therapy phase I trials using censored time-to-toxicity data." Journal of the Royal Statistical Society. Series C, Applied statistics vol. 68,2 (2019): 309-329. doi: https://doi.org/10.1111/rssc.12323
Wheeler GM, Sweeting MJ, Mander AP. A Bayesian model-free approach to combination therapy phase I trials using censored time-to-toxicity data. J R Stat Soc Ser C Appl Stat. 2019 Feb;68(2):309-329. doi: 10.1111/rssc.12323. Epub 2018 Nov 22. PMID: 30880843; PMCID: PMC6420054.
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Trajectories of alcohol consumption prior to the diagnosis of type 2 diabetes: a longitudinal case-cohort study.

International journal of epidemiology

Knott CS, Britton A, Bell S.
PMID: 29342257
Int J Epidemiol. 2018 Jun 01;47(3):953-965. doi: 10.1093/ije/dyx274.

BACKGROUND: Non-linear associations have been reported between baseline measures of alcohol consumption and type 2 diabetes (T2DM). However, given that drinking varies over the adult life course, we investigated whether differences existed in the longitudinal trajectory of alcohol consumption...

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Knott CS, Britton A, Bell S. Trajectories of alcohol consumption prior to the diagnosis of type 2 diabetes: a longitudinal case-cohort study. Int J Epidemiol. 2018;47(3):953-965doi: 10.1093/ije/dyx274.
Knott, C. S., Britton, A., & Bell, S. (2018). Trajectories of alcohol consumption prior to the diagnosis of type 2 diabetes: a longitudinal case-cohort study. International journal of epidemiology, 47(3), 953-965. https://doi.org/10.1093/ije/dyx274
Knott, Craig S, et al. "Trajectories of alcohol consumption prior to the diagnosis of type 2 diabetes: a longitudinal case-cohort study." International journal of epidemiology vol. 47,3 (2018): 953-965. doi: https://doi.org/10.1093/ije/dyx274
Knott CS, Britton A, Bell S. Trajectories of alcohol consumption prior to the diagnosis of type 2 diabetes: a longitudinal case-cohort study. Int J Epidemiol. 2018 Jun 01;47(3):953-965. doi: 10.1093/ije/dyx274. PMID: 29342257; PMCID: PMC6005149.
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Author Correction: Genomic risk score offers predictive performance comparable to clinical risk factors for ischaemic stroke.

Nature communications

Abraham G, Malik R, Yonova-Doing E, Salim A, Wang T, Danesh J, Butterworth AS, Howson JMM, Inouye M, Dichgans M.
PMID: 32080192
Nat Commun. 2020 Feb 20;11(1):1036. doi: 10.1038/s41467-020-14717-y.

An amendment to this paper has been published and can be accessed via a link at the top of the paper.

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Abraham G, Malik R, Yonova-Doing E, et al. Author Correction: Genomic risk score offers predictive performance comparable to clinical risk factors for ischaemic stroke. Nat Commun. 2020;11(1):1036doi: 10.1038/s41467-020-14717-y.
Abraham, G., Malik, R., Yonova-Doing, E., Salim, A., Wang, T., Danesh, J., Butterworth, A. S., Howson, J. M. M., Inouye, M., & Dichgans, M. (2020). Author Correction: Genomic risk score offers predictive performance comparable to clinical risk factors for ischaemic stroke. Nature communications, 11(1), 1036. https://doi.org/10.1038/s41467-020-14717-y
Abraham, Gad, et al. "Author Correction: Genomic risk score offers predictive performance comparable to clinical risk factors for ischaemic stroke." Nature communications vol. 11,1 (2020): 1036. doi: https://doi.org/10.1038/s41467-020-14717-y
Abraham G, Malik R, Yonova-Doing E, Salim A, Wang T, Danesh J, Butterworth AS, Howson JMM, Inouye M, Dichgans M. Author Correction: Genomic risk score offers predictive performance comparable to clinical risk factors for ischaemic stroke. Nat Commun. 2020 Feb 20;11(1):1036. doi: 10.1038/s41467-020-14717-y. PMID: 32080192; PMCID: PMC7033171.
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