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1. NOTCH3 p.Arg1231Cys is markedly enriched in South Asians and associated with stroke

Author

Juan Lorenzo Rodriguez-Flores, Shareef Khalid, Neelroop Parikshak, Asif Rasheed, Bin Ye, Manav Kapoor, Joshua Backman, Farshid Sepehrband, Silvio Alessandro Di Gioia, Sahar Gelfman, Tanima De, Nilanjana Banerjee, Deepika Sharma, Hector Martinez, Sofia Castaneda, David D’Ambrosio, Xingmin A. Zhang, Pengcheng Xun, Ellen Tsai, I-Chun Tsai, Regeneron Genetics Center, Maleeha Zaman Khan, Muhammad Jahanzaib, Muhammad Rehan Mian, Muhammad Bilal Liaqat, Khalid Mahmood, Tanvir Us Salam, Muhammad Hussain, Javed Iqbal, Faizan Aslam, Michael N. Cantor, Gannie Tzoneva, John Overton, Jonathan Marchini, Jeffrey G. Reid, Aris Baras, Niek Verweij, Luca A. Lotta, Giovanni Coppola, Katia Karalis, Aris Economides, Sergio Fazio, Wolfgang Liedtke, John Danesh, Ayeesha Kamal, Philippe Frossard, Thomas Coleman, Alan R. Shuldiner, and Danish Saleheen

Subjects
Science
Abstract

Abstract The genetic factors of stroke in South Asians are largely unexplored. Exome-wide sequencing and association analysis (ExWAS) in 75 K Pakistanis identified NM_000435.3(NOTCH3):c.3691 C > T, encoding the missense amino acid substitution p.Arg1231Cys, enriched in South Asians (alternate allele frequency = 0.58% compared to 0.019% in Western Europeans), and associated with subcortical hemorrhagic stroke [odds ratio (OR) = 3.39, 95% confidence interval (CI) = [2.26, 5.10], p = 3.87 × 10−9), and all strokes (OR [CI] = 2.30 [1.77, 3.01], p = 7.79 × 10−10). NOTCH3 p.Arg231Cys was strongly associated with white matter hyperintensity on MRI in United Kingdom Biobank (UKB) participants (effect [95% CI] in SD units = 1.1 [0.61, 1.5], p = 3.0 × 10−6). The variant is attributable for approximately 2.0% of hemorrhagic strokes and 1.1% of all strokes in South Asians. These findings highlight the value of diversity in genetic studies and have major implications for genomic medicine and therapeutic development in South Asian populations.

Published
2024
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2. PMS2CL interference leading to erroneous identification of a pathogenic PMS2 variant in Black patients

Author

Jacqueline Cappadocia, Lisa B. Aiello, Michael J. Kelley, Bryson W. Katona, Kara N. Maxwell, Anurag Verma, Ph.D., Shefali S. Verma, Ph.D., Yuki Bradford, M.S., Ashlei Brock, Stephanie DerOhannessian, Scott Dudek, M.S., Joseph Dunn, Theodore Drivas, M.D., Ph.D., Ned Haubein, Khadijah Hu-Sain, Renae Judy, Ashley Kloter, Yi-An Ko, Meghan Livingstone, Linda Morrel, Colleen Morse, M.S., Afiya Poindexter, Marjorie Risman, M.S., Teo Tran, Fred Vadivieso, JoEllen Weaver, Daniel J. Rader, M.D., Marylyn D. Ritchie, Ph.D., Michael D. Feldman, M.D., Ph.D., Christina Beechert, Caitlin Forsythe, M.S., Erin D. Fuller, Zhenhua Gu, M.S., Michael Lattari, Alexander Lopez, M.S., John D. Overton, Ph.D., Maria Sotiropoulos Padilla, M.S., Manasi Pradhan, M.S., Kia Manoochehri, B.S., Thomas D. Schleicher, M.S., Louis Widom, Sarah E. Wolf, M.S., Ricardo H. Ulloa, B.S., Amelia Averitt, Ph.D., Nilanjana Banerjee, Ph.D., Michael Cantor, M.D., Dadong Li, Ph.D., Sameer Malhotra, M.D., Deepika Sharma, MHI, Jeffrey Staples, Ph.D., Xiaodong Bai, Ph.D., Suganthi Balasubramanian, Ph.D., Suying Bao, Ph.D., Boris Boutkov, Ph.D., Siying Chen, Ph.D., Gisu Eom, B.S., Lukas Habegger, Ph.D., Alicia Hawes, B.S., Shareef Khalid, Olga Krasheninina, M.S., Rouel Lanche, B.S., Adam J. Mansfield, B.A., Evan K. Maxwell, Ph.D., George Mitra, B.A., Mona Nafde, M.S., Sean O’Keeffe, Ph.D., Max Orelus, B.B.A., Razvan Panea, Ph.D., Tommy Polanco, B.A., Ayesha Rasool, M.S., Jeffrey G. Reid, Ph.D., William Salerno, Ph.D., Jeffrey C. Staples, Ph.D., Kathie Sun, Ph.D., Goncalo Abecasis, D.Phil., Joshua Backman, Ph.D., Amy Damask, Ph.D., Lee Dobbyn, Ph.D., Manuel Allen Revez Ferreira, Ph.D., Arkopravo Ghosh, M.S., Christopher Gillies, Ph.D., Lauren Gurski, B.S., Eric Jorgenson, Ph.D., Hyun Min Kang, Ph.D., Michael Kessler, Ph.D., Jack Kosmicki, Ph.D., Alexander Li, Ph.D., Nan Lin, Ph.D., Daren Liu, M.S., Adam Locke, Ph.D., Jonathan Marchini, Ph.D., Anthony Marcketta, M.S., Joelle Mbatchou, Ph.D., Arden Moscati, Ph.D., Charles Paulding, Ph.D., Carlo Sidore, Ph.D., Eli Stahl, Ph.D., Kyoko Watanabe, Ph.D., Bin Ye, Ph.D., Blair Zhang, Ph.D., Andrey Ziyatdinov, Ph.D., Ariane Ayer, B.S., Aysegul Guvenek, Ph.D., George Hindy, Ph.D., Giovanni Coppola, M.D., Jan Freudenberg, M.D., Jonas Bovijn, M.D., Katherine Siminovitch, M.D., Kavita Praveen, Ph.D., Luca A. Lotta, M.D., Manav Kapoor, Ph.D., Mary Haas, Ph.D., Moeen Riaz, Ph.D., Niek Verweij, Ph.D., Olukayode Sosina, Ph.D., Parsa Akbari, Ph.D., Priyanka Nakka, Ph.D., Sahar Gelfman, Ph.D., Sujit Gokhale, B.E., Tanima De, Ph.D., Veera Rajagopal, Ph.D., Alan Shuldiner, M.D., Gannie Tzoneva, Ph.D., Juan Rodriguez-Flores, Ph.D., Esteban Chen, M.S., Marcus B. Jones, Ph.D., Michelle G. LeBlanc, Ph.D., Jason Mighty, Ph.D., Lyndon J. Mitnaul, Ph.D., Nirupama Nishtala, Ph.D., Nadia Rana, Ph.D., Jaimee Hernandez, Goncalo Abecasis, PhD, Aris Baras, M.D., Andrew Deubler, Aris Economides, Ph.D., and Luca A. Lotta, M.D., Ph.D.

Subjects
PMS2, germline genetic testing, Lynch syndrome, PMS2CL, pseudogene interference, Genetics, QH426-470, Medicine
Abstract

This study investigates the frequency of a clinically reported variant in PMS2, NM_000535.7:c.2523G>A p.(W841∗), from next-generation sequencing studies in 2 racially diverse cohorts. We identified clinical reports of the PMS2 c.2523G>A p.(W841∗) variant in the National Precision Oncology Program’s somatic testing database (n = 25,168). We determined frequency of the variant in germline exome sequencing from the Penn Medicine BioBank (n = 44,256) and in gnomAD. The PMS2 c.2523G>A p.(W841∗) was identified as a homozygous variant on tumor testing in an adult patient of self-identified Black race/ethnicity with no evidence of constitutional mismatch repair deficiency. The variant was clinically reported on 35 total tumor and liquid biopsy tests (0.1%), and all individuals with the variant were of self-identified Black race/ethnicity (0.6% of n = 5787). In individuals of African genetic ancestry (AFR), the variant's germline frequency was reported to be 0.2% and 1.3% in the Penn Medicine BioBank (PMBB) and gnomAD, respectively. The variant cannot be found in any individuals of European genetic ancestry (EUR) from either of the databases. The variant is found in a region of PMS2 with 100% homology to the PMS2CL pseudogene. PMS2 c.2523G>A p.(W841∗), when identified, is typically an African-ancestry-specific PMS2CL pseudogene variant, which should be recognized to prevent misdiagnosis of Lynch syndrome in Blacks.

Published
2024
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3. Analyzing human knockouts to validate GPR151 as a therapeutic target for reduction of body mass index.

Author

Allan Gurtan, John Dominy, Shareef Khalid, Linh Vong, Shari Caplan, Treeve Currie, Sean Richards, Lindsey Lamarche, Daniel Denning, Diana Shpektor, Anastasia Gurinovich, Asif Rasheed, Shahid Hameed, Subhan Saeed, Imran Saleem, Anjum Jalal, Shahid Abbas, Raffat Sultana, Syed Zahed Rasheed, Fazal-Ur-Rehman Memon, Nabi Shah, Mohammad Ishaq, Amit V Khera, John Danesh, Philippe Frossard, and Danish Saleheen

Subjects
Genetics, QH426-470
Abstract

Novel drug targets for sustained reduction in body mass index (BMI) are needed to curb the epidemic of obesity, which affects 650 million individuals worldwide and is a causal driver of cardiovascular and metabolic disease and mortality. Previous studies reported that the Arg95Ter nonsense variant of GPR151, an orphan G protein-coupled receptor, is associated with reduced BMI and reduced risk of Type 2 Diabetes (T2D). Here, we further investigate GPR151 with the Pakistan Genome Resource (PGR), which is one of the largest exome biobanks of human homozygous loss-of-function carriers (knockouts) in the world. Among PGR participants, we identify eleven GPR151 putative loss-of-function (plof) variants, three of which are present at homozygosity (Arg95Ter, Tyr99Ter, and Phe175LeufsTer7), with a cumulative allele frequency of 2.2%. We confirm these alleles in vitro as loss-of-function. We test if GPR151 plof is associated with BMI, T2D, or other metabolic traits and find that GPR151 deficiency in complete human knockouts is not associated with clinically significant differences in these traits. Relative to Gpr151+/+ mice, Gpr151-/- animals exhibit no difference in body weight on normal chow and higher body weight on a high-fat diet. Together, our findings indicate that GPR151 antagonism is not a compelling therapeutic approach to treatment of obesity.

Published
2022
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4. ATLANTIS - Attractor Landscape Analysis Toolbox for Cell Fate Discovery and Reprogramming

Author

Osama Shiraz Shah, Muhammad Faizyab Ali Chaudhary, Hira Anees Awan, Fizza Fatima, Zainab Arshad, Bibi Amina, Maria Ahmed, Hadia Hameed, Muhammad Furqan, Shareef Khalid, Amir Faisal, and Safee Ullah Chaudhary

Subjects
Medicine, Science
Abstract

Abstract Boolean modelling of biological networks is a well-established technique for abstracting dynamical biomolecular regulation in cells. Specifically, decoding linkages between salient regulatory network states and corresponding cell fate outcomes can help uncover pathological foundations of diseases such as cancer. Attractor landscape analysis is one such methodology which converts complex network behavior into a landscape of network states wherein each state is represented by propensity of its occurrence. Towards undertaking attractor landscape analysis of Boolean networks, we propose an Attractor Landscape Analysis Toolbox (ATLANTIS) for cell fate discovery, from biomolecular networks, and reprogramming upon network perturbation. ATLANTIS can be employed to perform both deterministic and probabilistic analyses. It has been validated by successfully reconstructing attractor landscapes from several published case studies followed by reprogramming of cell fates upon therapeutic treatment of network. Additionally, the biomolecular network of HCT-116 colorectal cancer cell line has been screened for therapeutic evaluation of drug-targets. Our results show agreement between therapeutic efficacies reported by ATLANTIS and the published literature. These case studies sufficiently highlight the in silico cell fate prediction and therapeutic screening potential of the toolbox. Lastly, ATLANTIS can also help guide single or combinatorial therapy responses towards reprogramming biomolecular networks to recover cell fates.

Published
2018
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7. Genetic Susceptibility to Mood Disorders and Risk of Stroke: A Polygenic Risk Score and Mendelian Randomization Study

Author

Jiangming Sun, Yan Borné, Andreas Edsfeldt, Yunpeng Wang, Mengyu Pan, Olle Melander, Gunnar Engström, Isabel Gonçalves, Goncalo Abecasis, Aris Baras, Michael Cantor, Giovanni Coppola, Aris Economides, Luca A. Lotta, John D. Overton, Jeffrey G. Reid, Alan Shuldiner, Christina Beechert, Caitlin Forsythe, Erin D. Fuller, Zhenhua Gu, Michael Lattari, Alexander Lopez, Thomas D. Schleicher, Maria Sotiropoulos Padilla, Karina Toledo, Louis Widom, Sarah E. Wolf, Manasi Pradhan, Kia Manoochehri, Ricardo H. Ulloa, Xiaodong Bai, Suganthi Balasubramanian, Leland Barnard, Andrew Blumenfeld, Gisu Eom, Lukas Habegger, Young Hahn, Alicia Hawes, Shareef Khalid, Evan K. Maxwell, William Salerno, Jeffrey C. Staples, Ashish Yadav, Marcus B. Jones, and Lyndon J. Mitnaul

Subjects
Advanced and Specialized Nursing, Neurology (clinical), Cardiology and Cardiovascular Medicine
Abstract

Background: Mood disorders and strokes are often comorbid, and their health toll worldwide is huge. This study characterizes prognostic and causal roles of mood disorders in stroke. Methods: We tested if genetic susceptibilities for mood disorders were associated with all strokes, ischemic strokes in the Malmö Diet and Cancer cohort (24 631 individuals with a median follow-up of 21.3 (interquartile range: 16.6–23.2) years. We further examined the causal effects for mood disorders on all strokes and ischemic strokes using summary statistics from large genome-wide association studies of mood disorders (up to 609 424 individuals, Psychiatric Genomics Consortium), all strokes and ischemic strokes (up to 446 696 individuals, MEGASTROKE Consortium). Results: Among 24 366 stroke-free participants at baseline, 2632 individuals developed strokes, 2172 of them ischemic, during follow-up. After properly adjusting for well-known risk factors, participants in the highest quintile of polygenic risk scores for mood disorders had 1.45× (95% CI, 1.21–1.74) higher risk of strokes and 1.44× (95% CI, 1.18–1.76) higher risk of ischemic strokes compared with the lowest quintile in women. Mendelian randomization analyses suggested that mood disorders had a causal effect on strokes (odds ratio, 1.07 [95% CI, 1.03–1.11]) and ischemic strokes (odds ratio, 1.09 [95% CI, 1.04–1.13]). Conclusions: Our results suggest a causal role of mood disorders in the risk of stroke. High-risk women could be identified early in life using polygenic risk scores to ultimately prevent mood disorders and strokes.

Published
2023
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8. Thrombotic risk determined by rare and common SERPINA1 variants in a population‐based cohort study

Author

Eric Manderstedt, Christer Halldén, Christina Lind‐Halldén, Johan Elf, Peter J. Svensson, Gunnar Engström, Olle Melander, Aris Baras, Luca A. Lotta, Bengt Zöller, Goncalo Abecasis, Michael Cantor, Giovanni Coppola, Aris Economides, John D. Overton, Jeffrey G. Reid, Alan Shuldiner, Christina Beechert, Caitlin Forsythe, Erin D. Fuller, Zhenhua Gu, Michael Lattari, Alexander Lopez, Kia Manoochehri, Maria Sotiropoulos Padilla, Manasi Pradhan, Thomas D. Schleicher, Ricardo H. Ulloa, Louis Widom, Sarah E. Wolf, Xiaodong Bai, Suganthi Balasubramanian, Andrew Blumenfeld, Boris Boutkov, Gisu Eom, Lukas Habegger, Alicia Hawes, Shareef Khalid, Olga Krasheninina, Rouel Lanche, Adam J. Mansfield, Evan K. Maxwell, Mrunali Nafde, Sean O’Keeffe, Max Orelus, Razvan Panea, Tommy Polanco, Ayesha Rasool, William Salerno, Jeffrey C. Staples, Marcus B. Jones, Jason Mighty, and Lyndon J. Mitnaul

Subjects
Aged, 80 and over, Cohort Studies, Male, Genotype, Case-Control Studies, alpha 1-Antitrypsin, alpha 1-Antitrypsin Deficiency, Humans, Female, Thrombosis, Venous Thromboembolism, Hematology, Aged
Abstract

Severe alpha-1-antitrypsin deficiency (AATD), phenotype PiZZ, was associated with venous thromboembolism (VTE) in a case-control study.This study aimed to determine the genetic variation in the SERPINA1 gene and a possible thrombotic risk of these variants in a population-based cohort study.The coding sequence of SERPINA1 was analyzed for the Z (rs28929474), S (rs17580), and other qualifying variants in 28,794 subjects without previous VTE (born 1923-1950, 60% women), who participated in the Malmö Diet and Cancer study (1991-1996). Individuals were followed from baseline until the first event of VTE, death, or 2018.Resequencing the coding sequence of SERPINA1 identified 84 variants in the total study population, 21 synonymous, 62 missense, and 1 loss-of-function variant. Kaplan-Meier analysis showed that homozygosity for the Z allele increased the risk of VTE whereas heterozygosity showed no effect. The S (rs17580) variant was not associated with VTE. Thirty-one rare variants were qualifying and included in collapsing analysis using the following selection criteria, loss of function, in frame deletion or non-benign (PolyPhen-2) missense variants with minor allele frequency (MAF)0.1%. Combining the rare qualifying variants with the Z variant showed that carrying two alleles (ZZ or compound heterozygotes) showed increased risk. Cox regression analysis revealed an adjusted hazard ratio of 4.5 (95% confidence interval 2.0-10.0) for combinations of the Z variant and rare qualifying variants. One other variant (rs141620200; MAF = 0.002) showed an increased risk of VTE.The SERPINA1 ZZ genotype and compound heterozygotes for severe AATD are rare but associated with VTE in a population-based Swedish study.

Published
2022
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9. Inference of Causal Relationships Between Genetic Risk Factors for Cardiometabolic Phenotypes and Female‐Specific Health Conditions

Author

Brenda Xiao, Digna R. Velez Edwards, Anastasia Lucas, Theodore Drivas, Kathryn Gray, Brendan Keating, Chunhua Weng, Gail P. Jarvik, Hakon Hakonarson, Leah Kottyan, Noemie Elhadad, Wei‐Qi Wei, Yuan Luo, Dokyoon Kim, Marylyn Ritchie, Shefali Setia Verma, Goncalo Abecasis, Aris Baras, Michael Cantor, Giovanni Coppola, Andrew Deubler, Aris Economides, Katia Karalis, Luca A. Lotta, John D. Overton, Jeffrey G. Reid, Katherine Siminovitch, Alan Shuldiner, Christina Beechert, Caitlin Forsythe, Erin D. Fuller, Zhenhua Gu, Michael Lattari, Alexander Lopez, Maria Sotiropoulos Padilla, Manasi Pradhan, Kia Manoochehri, Thomas D. Schleicher, Louis Widom, Sarah E. Wolf, Ricardo H. Ulloa, Amelia Averitt, Nilanjana Banerjee, Dadong Li, Sameer Malhotra, Deepika Sharma, Jeffrey Staples, Xiaodong Bai, Suganthi Balasubramanian, Suying Bao, Boris Boutkov, Siying Chen, Gisu Eom, Lukas Habegger, Alicia Hawes, Shareef Khalid, Olga Krasheninina, Rouel Lanche, Adam J. Mansfield, Evan K. Maxwell, George Mitra, Mona Nafde, Sean O’Keeffe, Max Orelus, Razvan Panea, Tommy Polanco, Ayesha Rasool, William Salerno, Jeffrey C. Staples, Kathie Sun, Joshua Backman, Amy Damask, Lee Dobbyn, Manuel Allen Revez Ferreira, Arkopravo Ghosh, Christopher Gillies, Lauren Gurski, Eric Jorgenson, Hyun Min Kang, Michael Kessler, Jack Kosmicki, Alexander Li, Nan Lin, Daren Liu, Adam Locke, Jonathan Marchini, Anthony Marcketta, Joelle Mbatchou, Arden Moscati, Charles Paulding, Carlo Sidore, Eli Stahl, Kyoko Watanabe, Bin Ye, Blair Zhang, Andrey Ziyatdinov, Ariane Ayer, Aysegul Guvenek, George Hindy, Jan Freudenberg, Jonas Bovijn, Kavita Praveen, Manav Kapoor, Mary Haas, Moeen Riaz, Niek Verweij, Olukayode Sosina, Parsa Akbari, Priyanka Nakka, Sahar Gelfman, Sujit Gokhale, Tanima De, Veera Rajagopal, Gannie Tzoneva, Juan Rodriguez‐Flores, Shek Man Chim, Valerio Donato, Daniel Fernandez, Giusy Della Gatta, Alessandro Di Gioia, Kristen Howell, Lori Khrimian, Minhee Kim, Hector Martinez, Lawrence Miloscio, Sheilyn Nunez, Elias Pavlopoulos, Trikaldarshi Persaud, Esteban Chen, Marcus B. Jones, Michelle G. LeBlanc, Jason Mighty, Lyndon J. Mitnaul, Nirupama Nishtala, and Nadia Rana

Subjects
Cardiology and Cardiovascular Medicine
Abstract

Background Cardiometabolic diseases are highly comorbid, but their relationship with female‐specific or overwhelmingly female‐predominant health conditions (breast cancer, endometriosis, pregnancy complications) is understudied. This study aimed to estimate the cross‐trait genetic overlap and influence of genetic burden of cardiometabolic traits on health conditions unique to women. Methods and Results Using electronic health record data from 71 008 ancestrally diverse women, we examined relationships between 23 obstetrical/gynecological conditions and 4 cardiometabolic phenotypes (body mass index, coronary artery disease, type 2 diabetes, and hypertension) by performing 4 analyses: (1) cross‐trait genetic correlation analyses to compare genetic architecture, (2) polygenic risk score–based association tests to characterize shared genetic effects on disease risk, (3) Mendelian randomization for significant associations to assess cross‐trait causal relationships, and (4) chronology analyses to visualize the timeline of events unique to groups of women with high and low genetic burden for cardiometabolic traits and highlight the disease prevalence in risk groups by age. We observed 27 significant associations between cardiometabolic polygenic scores and obstetrical/gynecological conditions (body mass index and endometrial cancer, body mass index and polycystic ovarian syndrome, type 2 diabetes and gestational diabetes, type 2 diabetes and polycystic ovarian syndrome). Mendelian randomization analysis provided additional evidence of independent causal effects. We also identified an inverse association between coronary artery disease and breast cancer. High cardiometabolic polygenic scores were associated with early development of polycystic ovarian syndrome and gestational hypertension. Conclusions We conclude that polygenic susceptibility to cardiometabolic traits is associated with elevated risk of certain female‐specific health conditions.

Published
2023
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10. Awareness of the Effect of Diabetes on Oral Health among a Population in Jeddah, Saudi Arabia.

Author

Almehmadi, Ahmad H., Alzaid, Ghada, Quqandi, Sarah, Almalki, Ghaidaa, Bannan, Abraar, AlHindi, Areej, Idrees, Abdulrahman, Habiballah, Anas, Al-Shareef, Khalid, and Alhazzazi, Turki

Subjects
ORAL health, DIABETES, HEALTH attitudes
Abstract

Purpose: Diabetes is an ever-growing health issue in the Kingdom of Saudi Arabia. It has several oral health implications and oral health in turn affects diabetes control. The primary objective of this research was to study the awareness of the effect of diabetes on oral health among the general population in the city of Jeddah, Saudi Arabia.Materials and Methods: A closed-ended, validated questionnaire was distributed to 506 randomly selected shopping-mall-goers. Responses were coded and entered into spreadsheet (SPSS, IBM) and frequency distribution of the responses was calculated.Results: The majority of the respondents were females (62.5%), non-diabetic (80.2%) and reported a positive family history of diabetes (87.9%). Most of them (63.4%) understood the importance of discussing one's diabetes status with the dentist as it affected the treatment plan, and also knew (84.4%) that diabetes affects oral health in some way. A majority also correctly responded to how diabetes affects oral health (66.3%) and to the sequelae of untreated gum disease (87.2%). The majority of the respondents had not received any tips or information regarding the connection between diabetes and oral health.Conclusion: This study reported adequate knowledge of the sample with respect to diabetes-related oral health. An important finding of this study was that the majority of the study participants did not receive information leading to diabetes-related oral health awareness or knowledge from anyone, which implies that health professionals and health media do not play the requisite role in dissemination of this important aspect of public health. [ABSTRACT FROM AUTHOR]

Published
2020
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11. Exome sequencing and characterization of 49,960 individuals in the UK Biobank

Author

David J. Carey, Cristen J. Willer, Anthony Marcketta, Claudia Schurmann, Leland Barnard, John Penn, Suganthi Balasubramanian, Daren Liu, Joseph B. Leader, Gonçalo R. Abecasis, Marcus B. Jones, John C. Whittaker, Ashutosh K. Pandey, Ida Surakka, David H. Ledbetter, Evan Maxwell, John D. Overton, Andrew Blumenfeld, Michael N. Cantor, Robert A. Scott, Wendy K. Chung, Alexander H. Li, Alexander Lopez, Joshua D. Backman, Matthew R. Nelson, Jeffrey Staples, Giovanni Coppola, Jonathan Marchini, Xiaodong Bai, Kavita Praveen, Alan R. Shuldiner, Claudia Gonzaga-Jauregui, Aris N. Economides, Shareef Khalid, William J Salerno, Bin Ye, Cristopher V. Van Hout, Kristian Hveem, Jeffrey G. Reid, Colm O'Dushlaine, Joshua D. Hoffman, Laura M. Yerges-Armstrong, Nilanjana Banerjee, Sean O'Keeffe, Ioanna Tachmazidou, Lon R. Cardon, Alicia Hawes, Aris Baras, Ashish Yadav, George D. Yancopoulos, and Lukas Habegger

Subjects
Male, 0301 basic medicine, Genes, BRCA2, Genes, BRCA1, Hasso-Plattner-Institut für Digital Engineering GmbH, Penetrance, 030204 cardiovascular system & hematology, Ion Channels, 0302 clinical medicine, Bone Density, Loss of Function Mutation, Neoplasms, Databases, Genetic, Genetics research, Genotype, Exome, Exome sequencing, Biological Specimen Banks, education.field_of_study, Multidisciplinary, Genomics, Middle Aged, Biobank, Pedigree, Phenotype, ras GTPase-Activating Proteins, Female, Kidney Diseases, Population, Collagen Type VI, Computational biology, Biology, Article, DNA sequencing, Varicose Veins, 03 medical and health sciences, Exome Sequencing, Humans, education, Alleles, Aged, Demography, Rare variants, Peptide Fragments, United Kingdom, 030104 developmental biology, ddc:000, Next-generation sequencing
Abstract

The UK Biobank is a prospective study of 502,543 individuals, combining extensive phenotypic and genotypic data with streamlined access for researchers around the world1. Here we describe the release of exome-sequence data for the first 49,960 study participants, revealing approximately 4 million coding variants (of which around 98.6% have a frequency of less than 1%). The data include 198,269 autosomal predicted loss-of-function (LOF) variants, a more than 14-fold increase compared to the imputed sequence. Nearly all genes (more than 97%) had at least one carrier with a LOF variant, and most genes (more than 69%) had at least ten carriers with a LOF variant. We illustrate the power of characterizing LOF variants in this population through association analyses across 1,730 phenotypes. In addition to replicating established associations, we found novel LOF variants with large effects on disease traits, including PIEZO1 on varicose veins, COL6A1 on corneal resistance, MEPE on bone density, and IQGAP2 and GMPR on blood cell traits. We further demonstrate the value of exome sequencing by surveying the prevalence of pathogenic variants of clinical importance, and show that 2% of this population has a medically actionable variant. Furthermore, we characterize the penetrance of cancer in carriers of pathogenic BRCA1 and BRCA2 variants. Exome sequences from the first 49,960 participants highlight the promise of genome sequencing in large population-based studies and are now accessible to the scientific community., Exome sequences from the first 49,960 participants in the UK Biobank highlight the promise of genome sequencing in large population-based studies and are now accessible to the scientific community.

Published
2020
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12. Tumor suppressor genes and allele-specific expression: mechanisms and significance

Author

Lu Wang, Dongjo Ban, I. King Jordan, Shareef Khalid, John F. McDonald, and Evan A. Clayton

Subjects
0301 basic medicine, Tumor suppressor gene, allele-specific expression, Biology, law.invention, 03 medical and health sciences, alternative splicing, tumor-suppressor genes, 0302 clinical medicine, law, medicine, cancer, Allele, Gene, antisense RNA, Genetics, Alternative splicing, Cancer, Heterozygote advantage, medicine.disease, Antisense RNA, 030104 developmental biology, Oncology, 030220 oncology & carcinogenesis, Suppressor, Research Paper
Abstract

Recent findings indicate that allele-specific expression (ASE) at specific cancer driver gene loci may be of importance in onset/progression of the disease. Of particular interest are loss-of-function (LOF) of tumor suppressor gene (TSGs) alleles. While LOF tumor suppressor mutations are typically considered to be recessive, if these mutant alleles can be significantly differentially expressed relative to wild-type alleles in heterozygotes, the clinical consequences could be significant. LOF TSG alleles are shown to be segregating at high frequencies in world-wide populations of normal/healthy individuals. Matched sets of normal and tumor tissues isolated from 233 cancer patients representing four diverse tumor types demonstrate functionally important changes in patterns of ASE in individuals heterozygous for LOF TSG alleles associated with cancer onset/progression. While a variety of molecular mechanisms were identified as potentially contributing to changes in ASE patterns in cancer, changes in DNA copy number and allele-specific alternative splicing possibly mediated by antisense RNA emerged as predominant factors. In conclusion, LOF TSGs are segregating in human populations at significant frequencies indicating that many otherwise healthy individuals are at elevated risk of developing cancer. Changes in ASE between normal and cancer tissues indicates that LOF TSG alleles may contribute to cancer onset/progression even when heterozygous with wild-type functional alleles.

Published
2020

13. Classic Thrombophilias and Thrombotic Risk Among Middle-Aged and Older Adults: A Population-Based Cohort Study

Author

Eric Manderstedt, Christina Lind‐Halldén, Christer Halldén, Johan Elf, Peter J. Svensson, Björn Dahlbäck, Gunnar Engström, Olle Melander, Aris Baras, Luca A. Lotta, Bengt Zöller, Goncalo Abecasis, Michael Cantor, Giovanni Coppola, Aris Economides, Luca A Lotta, John D Overton, Jeffrey G Reid, Alan Shuldiner, Christina Beechert, Caitlin Forsythe, Erin D Fuller, Zhenhua Gu, Michael Lattari, Alexander Lopez, Thomas D Schleicher, Maria Sotiropoulos Padilla, Louis Widom, Sarah E Wolf, Manasi Pradhan, Kia Manoochehri, Ricardo H Ulloa, Xiaodong Bai, Suganthi Balasubramanian, Andrew Blumenfeld, Boris Boutkov, Gisu Eom, Lukas Habegger, Alicia Hawes, Shareef Khalid, Olga Krasheninina, Rouel Lanche, Adam J Mansfield, Evan K Maxwell, Mrunali Nafde, Sean O’Keeffe, Max Orelus, Razvan Panea, Tommy Polanco, Ayesha Rasool, William Salerno, Jeffrey C Staples, Marcus B Jones, Jason Mighty, and Lyndon J Mitnaul

Subjects
Male, Anticoagulants, Factor V, Thrombosis, Venous Thromboembolism, Middle Aged, Antithrombins, Protein S, Cohort Studies, Risk Factors, RC666-701, Mutation, natural anticoagulants, Diseases of the circulatory (Cardiovascular) system, Humans, Thrombophilia, epidemiology, genetics, Female, Prothrombin, Cardiology and Cardiovascular Medicine, Aged, Protein C
Abstract

Background Five classic thrombophilias have been recognized: factor V Leiden (rs6025), the prothrombin G20210A variant (rs1799963), and protein C, protein S, and antithrombin deficiencies. This study aimed to determine the thrombotic risk of classic thrombophilias in a cohort of middle‐aged and older adults. Methods and Results Factor V Leiden, prothrombin G20210A and protein‐coding variants in the PROC (protein C), PROS1 (protein S), and SERPINC1 (antithrombin) anticoagulant genes were determined in 29 387 subjects (born 1923–1950, 60% women) who participated in the Malmö Diet and Cancer study (1991–1996). The Human Gene Mutation Database was used to define 68 disease‐causing mutations. Patients were followed up from baseline until the first event of venous thromboembolism (VTE), death, or Dec 31, 2018. Carriership (n=908, 3.1%) for disease‐causing mutations in the PROC , PROS1 , and SERPINC1 genes was associated with incident VTE: Hazard ratio (HR) was 1.6 (95% CI, 1.3–1.9). Variants not in Human Gene Mutation Database were not linked to VTE (HR, 1.1; 95% CI, 0.8–1.5). Heterozygosity for rs6025 and rs1799963 was associated with incident VTE: HR, 1.8 (95% CI, 1.6–2.0) and HR, 1.6 (95% CI, 1.3–2.0), respectively. The HR for carrying 1 classical thrombophilia variant was 1.7 (95% CI, 1.6–1.9). HR was 3.9 (95% CI, 3.1–5.0) for carriers of ≥2 thrombophilia variants. Conclusions The 5 classic thrombophilias are associated with a dose‐graded risk of VTE in middle‐aged and older adults. Disease‐causing variants in the PROC , PROS1 , and SERPINC1 genes were more common than the rs1799963 variant but the conferred genetic risk was comparable with the rs6025 and rs1799963 variants.

Published
2022

14. Corrigendum to ‘An international genome-wide meta-analysis of primary biliary cholangitis: Novel risk loci and candidate drugs’ [J Hepatol 2021;75(3):572–581]

Author

Heather J. Cordell, James J. Fryett, Kazuko Ueno, Rebecca Darlay, Yoshihiro Aiba, Yuki Hitomi, Minae Kawashima, Nao Nishida, Seik-Soon Khor, Olivier Gervais, Yosuke Kawai, Masao Nagasaki, Katsushi Tokunaga, Ruqi Tang, Yongyong Shi, Zhiqiang Li, Brian D. Juran, Elizabeth J. Atkinson, Alessio Gerussi, Marco Carbone, Rosanna Asselta, Angela Cheung, Mariza de Andrade, Aris Baras, Julie Horowitz, Manuel A.R. Ferreira, Dylan Sun, David E. Jones, Steven Flack, Ann Spicer, Victoria L. Mulcahy, Jinyoung Byun, Younghun Han, Richard N. Sandford, Konstantinos N. Lazaridis, Christopher I. Amos, Gideon M. Hirschfield, Michael F. Seldin, Pietro Invernizzi, Katherine A. Siminovitch, Xiong Ma, Minoru Nakamura, George F. Mells, Andrew Mason, Catherine Vincent, Gang Xie, Jinyi Zhang, Andrea Affronti, Piero L. Almasio, Domenico Alvaro, Pietro Andreone, Angelo Andriulli, Francesco Azzaroli, Pier Maria Battezzati, Antonio Benedetti, Maria Consiglia Bragazzi, Maurizia Brunetto, Savino Bruno, Vincenza Calvaruso, Vincenzo Cardinale, Giovanni Casella, Nora Cazzagon, Antonio Ciaccio, Barbara Coco, Agostino Colli, Guido Colloredo, Massimo Colombo, Silvia Colombo, Laura Cristoferi, Carmela Cursaro, Lory Saveria Crocè, Andrea Crosignani, Daphne D’Amato, Francesca Donato, Gianfranco Elia, Luca Fabris, Stefano Fagiuoli, Carlo Ferrari, Annarosa Floreani, Andrea Galli, Edoardo Giannini, Ignazio Grattagliano, Pietro Lampertico, Ana Lleo, Federica Malinverno, Clara Mancuso, Fabio Marra, Marco Marzioni, Sara Massironi, Alberto Mattalia, Luca Miele, Chiara Milani, Lorenzo Morini, Filomena Morisco, Luigi Muratori, Paolo Muratori, Grazia A. Niro, Sarah O’Donnell, Antonio Picciotto, Piero Portincasa, Cristina Rigamonti, Vincenzo Ronca, Floriano Rosina, Giancarlo Spinzi, Mario Strazzabosco, Mirko Tarocchi, Claudio Tiribelli, Pierluigi Toniutto, Luca Valenti, Maria Vinci, Massimo Zuin, Hitomi Nakamura, Seigo Abiru, Shinya Nagaoka, Atsumasa Komori, Hiroshi Yatsuhashi, Hiromi Ishibashi, Masahiro Ito, Kiyoshi Migita, Hiromasa Ohira, Shinji Katsushima, Atsushi Naganuma, Kazuhiro Sugi, Tatsuji Komatsu, Tomohiko Mannami, Kouki Matsushita, Kaname Yoshizawa, Fujio Makita, Toshiki Nikami, Hideo Nishimura, Hiroshi Kouno, Hirotaka Kouno, Hajime Ota, Takuya Komura, Yoko Nakamura, Masaaki Shimada, Noboru Hirashima, Toshiki Komeda, Keisuke Ario, Makoto Nakamuta, Tsutomu Yamashita, Kiyoshi Furuta, Masahiro Kikuchi, Noriaki Naeshiro, Hironao Takahashi, Yutaka Mano, Seiji Tsunematsu, Iwao Yabuuchi, Yusuke Shimada, Kazuhiko Yamauchi, Rie Sugimoto, Hironori Sakai, Eiji Mita, Masaharu Koda, Satoru Tsuruta, Hiroshi Kamitsukasa, Takeaki Sato, Naohiko Masaki, Tatsuro Kobata, Nobuyoshi Fukushima, Yukio Ohara, Toyokichi Muro, Eiichi Takesaki, Hitoshi Takaki, Tetsuo Yamamoto, Michio Kato, Yuko Nagaoki, Shigeki Hayashi, Jinya Ishida, Yukio Watanabe, Masakazu Kobayashi, Michiaki Koga, Takeo Saoshiro, Michiyasu Yagura, Keisuke Hirata, Atsushu Tanaka, Hajime Takikawa, Mikio Zeniya, Masanori Abe, Morikazu Onji, Shuichi Kaneko, Masao Honda, Kuniaki Arai, Teruko Arinaga-Hino, Etsuko Hashimoto, Makiko Taniai, Takeji Umemura, Satoru Joshita, Kazuhiko Nakao, Tatsuki Ichikawa, Hidetaka Shibata, Satoshi Yamagiwa, Masataka Seike, Koichi Honda, Shotaro Sakisaka, Yasuaki Takeyama, Masaru Harada, Michio Senju, Osamu Yokosuka, Tatsuo Kanda, Yoshiyuki Ueno, Kentaro Kikuchi, Hirotoshi Ebinuma, Takashi Himoto, Michio Yasunami, Kazumoto Murata, Masashi Mizokami, Kazuhito Kawata, Shinji Shimoda, Yasuhiro Miyake, Akinobu Takaki, Kazuhide Yamamoto, Katsuji Hirano, Takafumi Ichida, Akio Ido, Hirohito Tsubouchi, Kazuaki Chayama, Kenichi Harada, Yasuni Nakanuma, Yoshihiko Maehara, Akinobu Taketomi, Ken Shirabe, Yuji Soejima, Akira Mori, Shintaro Yagi, Shinji Uemoto, Egawa H, Tomohiro Tanaka, Noriyo Yamashiki, Sumito Tamura, Yasuhiro Sugawara, Norihiro Kokudo, Naga Chalasani, Vel Luketic, Joseph Odin, Kapil Chopra, Goncalo Abecasis, Michael Cantor, Giovanni Coppola, Aris Economides, Luca A. Lotta, John D. Overton, Jeffrey G. Reid, Alan Shuldiner, Christina Beechert, Caitlin Forsythe, Erin D. Fuller, Zhenhua Gu, Michael Lattari, Alexander Lopez, Thomas D. Schleicher, Maria Sotiropoulos Padilla, Karina Toledo, Louis Widom, Sarah E. Wolf, Manasi Pradhan, Kia Manoochehri, Ricardo H. Ulloa, Xiaodong Bai, Suganthi Balasubramanian, Leland Barnard, Andrew Blumenfeld, Gisu Eom, Lukas Habegger, Alicia Hawes, Shareef Khalid, Evan K. Maxwell, William Salerno, Jeffrey C. Staples, Marcus B. Jones, Lyndon J. Mitnaul, Richard Sturgess, Christopher Healey, Andrew Yeoman, Anton V.J. Gunasekera, Paul Kooner, Kapil Kapur, V. Sathyanarayana, Yiannis Kallis, Javaid Subhani, Rory Harvey, Roger McCorry, Paul Rooney, David Ramanaden, Richard Evans, Thiriloganathan Mathialahan, Jaber Gasem, Christopher Shorrock, Mahesh Bhalme, Paul Southern, Jeremy A. Tibble, David A. Gorard, Susan Jones, George Mells, Victoria Mulcahy, Brijesh Srivastava, Matthew R. Foxton, Carole E. Collins, David Elphick, Mazn Karmo, Francisco Porras-Perez, Michael Mendall, Tom Yapp, Minesh Patel, Roland Ede, Joanne Sayer, James Jupp, Neil Fisher, Martyn J. Carter, Konrad Koss, Jayshri Shah, Andrzej Piotrowicz, Glyn Scott, Charles Grimley, Ian R. Gooding, Simon Williams, Judith Tidbury, Guan Lim, Kuldeep Cheent, Sass Levi, Dina Mansour, Matilda Beckley, Coral Hollywood, Terry Wong, Richard Marley, John Ramage, Harriet M. Gordon, Jo Ridpath, Theodore Ngatchu, Vijay Paul Bob Grover, Ray G. Shidrawi, George Abouda, L. Corless, Mark Narain, Ian Rees, Ashley Brown, Simon Taylor-Robinson, Joy Wilkins, Leonie Grellier, Paul Banim, Debasish Das, Michael A. Heneghan, Howard Curtis, Helen C. Matthews, Faiyaz Mohammed, Mark Aldersley, Raj Srirajaskanthan, Giles Walker, Alistair McNair, Amar Sharif, Sambit Sen, George Bird, Martin I. Prince, Geeta Prasad, Paul Kitchen, Adrian Barnardo, Chirag Oza, Nurani N. Sivaramakrishnan, Prakash Gupta, Amir Shah, Chris D.J. Evans, Subrata Saha, Katharine Pollock, Peter Bramley, Ashis Mukhopadhya, Stephen T. Barclay, Natasha McDonald, Andrew J. Bathgate, Kelvin Palmer, John F. Dillon, Simon M. Rushbrook, Robert Przemioslo, Chris McDonald, Andrew Millar, Cheh Tai, Stephen Mitchell, Jane Metcalf, Syed Shaukat, Mary Ninkovic, Udi Shmueli, Andrew Davis, Asifabbas Naqvi, Tom J.W. Lee, Stephen Ryder, Jane Collier, Howard Klass, Matthew E. Cramp, Nichols Sharer, Richard Aspinall, Deb Ghosh, Andrew C. Douds, Jonathan Booth, Earl Williams, Hyder Hussaini, John Christie, Steven Mann, Douglas Thorburn, Aileen Marshall, Imran Patanwala, Aftab Ala, Julia Maltby, Ray Matthew, Chris Corbett, Sam Vyas, Saket Singhal, Dermot Gleeson, Sharat Misra, Jeff Butterworth, Keith George, Tim Harding, Andrew Douglass, Harriet Mitchison, Simon Panter, Jeremy Shearman, Gary Bray, Michael Roberts, Graham Butcher, Daniel Forton, Zahid Mahmood, Matthew Cowan, Debashis Das, Chin Lye Ch'ng, Mesbah Rahman, Gregory C.A. Whatley, Emma Wesley, Aditya Mandal, Sanjiv Jain, Stephen P. Pereira, Mark Wright, Palak Trivedi, Fiona H. Gordon, Esther Unitt, Altaf Palejwala, Andrew Austin, Vishwaraj Vemala, Allister Grant, Andrew D. Higham, Alison Brind, Ray Mathew, Mark Cox, Subramaniam Ramakrishnan, Alistair King, Simon Whalley, Jocelyn Fraser, S.J. Thomson, Andrew Bell, Voi Shim Wong, Richard Kia, Ian Gee, Richard Keld, Rupert Ransford, James Gotto, and Charles Millson

Subjects
Science & Technology, Hepatology, Gastroenterology & Hepatology, Italian PBC Study Group, Japan-PBC-GWAS Consortium, UK-PBC Consortium, Chinese PBC Consortium, 1103 Clinical Sciences, US PBC Consortium, Canadian PBC Consortium, Life Sciences & Biomedicine, PBC Consortia, 1117 Public Health and Health Services
Published
2021

15. Analyzing human knockouts to validate GPR151 as a therapeutic target for reduction of body mass index

Author

Syed Zahed Rasheed, Sean Richards, Asif Rasheed, Nabi Shah, Anastasia Gurinovich, Treeve Currie, Shahid Abbas, Shari L. Caplan, Subhan Saeed, Shareef Khalid, Amit Khera, John Dominy, Linh Vong, Allan Gurtan, Sekar Kathiresan, Daniel Denning, Fazal-ur-Rehman Memon, Lindsey Lamarche, Philippe M. Frossard, Anjum Jalal, John Danesh, Raffat Sultana, Shahid Hameed, M. Ishaq, Danish Saleheen, Imran Saleem, and Diana Shpektor

Subjects
business.industry, Medicine, Physiology, Type 2 diabetes, Odds ratio, Allele, business, medicine.disease, Body mass index, Allele frequency, Obesity, Exome, Gene knockout
Abstract

Novel drug targets for sustained reduction in body mass index (BMI) are needed to curb the epidemic of obesity, which affects 650 million individuals worldwide and is a causal driver of cardiovascular and metabolic disease and mortality. Previous studies reported that the Arg95Ter nonsense variant of GPR151, an orphan G protein-coupled receptor, is associated with reduced BMI and reduced risk of Type 2 Diabetes (T2D). Here, we follow up on GPR151 with the Pakistan Genome Resource (PGR), which is one of the largest exome biobanks of human homozygous loss-of-function carriers (knockouts) in the world. Among PGR participants, we identify 3 GPR151 putative loss-of-function (plof) variants (Arg95Ter, Tyr99Ter, and Phe175LeufsTer7) with a cumulative allele frequency of 2.2% and present at homozygosity. We confirm these alleles in vitro as loss-of-function. We test if GPR151 plof is associated with BMI, T2D, or other metabolic traits. GPR151 deficiency in complete human knockouts is not associated with a clinically significant difference in BMI. Moreover, loss of GPR151 confers a nominally significant increase in risk of T2D (odds ratio = 1.2, p value = 0.03). Relative to wild-type mice, Gpr151-/- animals exhibit no difference in body weight on normal chow, and higher body weight on a high-fat diet, consistent with the findings in humans. Together, our findings indicate that GPR151 antagonism is not a compelling therapeutic approach for obesity.

Published
2021
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16. Thrombotic Risk Determined by STAB 2 Variants in a Population-Based Cohort Study

Author

Eric Manderstedt, Christer Halldén, Christina Lind-Halldén, Johan Elf, Peter J. Svensson, Gunnar Engström, Olle Melander, Aris Baras, Luca A Lotta, Bengt Zöller, Goncalo Abecasis, Michael Cantor, Giovanni Coppola, John D. Overton, Jeffrey G. Reid, Alan Shuldiner, Katia Karalis, Katherine Siminovitch, Christina Beechert, Caitlin Forsythe, Erin D. Fuller, Zhenhua Gu, Michael Lattari, Alexander Lopez, Thomas D. Schleicher, Maria Sotiropoulos Padilla, Louis Widom, Sarah E. Wolf, Manasi Pradhan, Kia Manoochehri, Ricardo H. Ulloa, Xiaodong Bai, Suganthi Balasubramanian, Andrew Blumenfeld, Boris Boutkov, Gisu Eom, Lukas Habegger, Alicia Hawes, Shareef Khalid, Olga Krasheninina, Rouel Lanche, Adam J. Mansfield, Evan K. Maxwell, Mrunali Nafde, Sean O’Keeffe, Max Orelus, Razvan Panea, Tommy Polanco, Ayesha Rasool, William Salerno, Jeffrey C. Staples, Niek Verweij, Jonas Nielsen, Tanima De, Marcus B. Jones, Jason Mighty, Michelle G. LeBlanc, and Lyndon J. Mitnaul

Subjects
Thrombotic risk, medicine.medical_specialty, education.field_of_study, business.industry, Population, General Medicine, medicine.disease, Thrombosis, Population based cohort, Internal medicine, Medicine, business, education, Venous thromboembolism
Published
2021
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17. Genetic variation of the blood coagulation regulator tissue factor pathway inhibitor and venous thromboembolism among middle‐aged and older adults: A population‐based cohort study

Author

Eric Manderstedt, Christina Lind‐Halldén, Christer Halldén, Johan Elf, Peter J. Svensson, Gunnar Engström, Olle Melander, Aris Baras, Luca A. Lotta, Bengt Zöller, Goncalo Abecasis, Michael Cantor, Giovanni Coppola, Aris Economides, John D. Overton, Jeffrey G. Reid, Alan Shuldiner, Christina Beechert, Caitlin Forsythe, Erin D. Fuller, Zhenhua Gu, Michael Lattari, Alexander Lopez, Thomas D. Schleicher, Maria Sotiropoulos Padilla, Louis Widom, Sarah E. Wolf, Manasi Pradhan, Kia Manoochehri, Ricardo H. Ulloa, Xiaodong Bai, Suganthi Balasubramanian, Andrew Blumenfeld, Boris Boutkov, Gisu Eom, Lukas Habegger, Alicia Hawes, Shareef Khalid, Olga Krasheninina, Rouel Lanche, Adam J. Mansfield, Evan K. Maxwell, Mrunali Nafde, Sean O’Keeffe, Max Orelus, Razvan Panea, Tommy Polanco, Ayesha Rasool, William Salerno, Jeffrey C. Staples, Marcus B. Jones, Jason Mighty, and Lyndon J. Mitnaul

Subjects
Hematology
Abstract

Tissue factor is the main initiator of blood coagulation, and tissue factor pathway inhibitor (TFPI) is the primary inhibitor of the initiation of blood coagulation.The genetic variation ofThe exomes ofNo common variant was associated with VTE. Nine rare variants (two loss-of-function and seven nonbenign missense) were classified as qualifying and included in collapsing analysis. Prevalence of qualifying variants was 0.09%. Five individuals with VTE compared to 17 individuals without VTE carried one qualifying variant. Cox multivariate regression analysis adjusted for age, sex, body mass index, systolic blood pressure, smoking and alcohol consumption, rs6025, rs1799963, and ancestry showed a hazard ratio of 2.9 (95% CI, 1.2-7.1) for rare qualifying variants.Rare qualifying

Published
2022
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18. Pan-ancestry exome-wide association analyses of COVID-19 outcomes in 586,157 individuals

Author

Martin I. Jones, Joseph D. Szustakowski, Giorgio Sirugo, Lukas Habegger, Adam J. Mansfield, Will Salerno, Joshua D. Backman, Athanasios Kousathanas, David J. Carey, Yi-Pin Lai, James F. Wilson, Alison M. Meynert, Anne E. Justice, Alexander H. Li, Jack A. Kosmicki, Anthony Marcketta, Sándor Szalma, Shane McCarthy, A. R. Shuldiner, A. Baras, Daniel J. Rader, Michael N. Cantor, Ashish Yadav, Manuel A. R. Ferreira, F. S. P. Kury, Konrad Rawlik, Loukas Moutsianas, Gonçalo R. Abecasis, Susan P. Walker, Xing Chen, Albert Tenesa, Paul Nioi, Adam E. Locke, Guillaume Butler-Laporte, E. N. Smith, Richard H Scott, Gundula Povysil, Joseph B. Leader, Lauren Gurski, Dorota Pasko, Marylyn D. Ritchie, A. Cordova-Palomera, Kyoko Watanabe, Colm O'Dushlaine, A. O'Neill, Tomoko Nakanishi, Erola Pairo-Castineira, Xiuwen Zheng, Emily Wong, Jeffrey G. Reid, Slavé Petrovski, Julie E. Horowitz, Anurag Verma, Justin W. Davis, Dylan Sun, Sahar Esmaeeli, Heiko Runz, Quanli Wang, John D. Overton, Shareef Khalid, Tooraj Mirshahi, Evan Maxwell, Mark J. Caulfield, Mark Lathrop, Olympe Chazara, Deepika Sharma, David Goldstein, Jonathan Marchini, Xiaodong Bai, Suganthi Balasubramanian, Krzysztof Kiryluk, Nilanjana Banerjee, Rouel Lanche, J. B. Richards, Hyun Min Kang, J. K. Baillie, Yunfeng Huang, Sean O'Keeffe, Erika Kvikstad, Margaret M. Parker, and Joelle Mbatchou

Subjects
Male, 0301 basic medicine, Coronavirus disease 2019 (COVID-19), Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), Biology, 03 medical and health sciences, Current sample, 0302 clinical medicine, Data sequences, Report, Exome Sequencing, Genetics, Humans, Exome, Genetic Predisposition to Disease, 030212 general & internal medicine, Gene, Genetics (clinical), SARS-CoV-2, COVID-19, Prognosis, Hospitalization, 030104 developmental biology, Sample Size, Multiple comparisons problem, Susceptibility locus, Female, Interferons
Abstract

Severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) causes coronavirus disease 2019 (COVID-19), a respiratory illness that can result in hospitalization or death. We used exome sequence data to investigate associations between rare genetic variants and seven COVID-19 outcomes in 586,157 individuals, including 20,952 with COVID-19. After accounting for multiple testing, we did not identify any clear associations with rare variants either exome wide or when specifically focusing on (1) 13 interferon pathway genes in which rare deleterious variants have been reported in individuals with severe COVID-19, (2) 281 genes located in susceptibility loci identified by the COVID-19 Host Genetics Initiative, or (3) 32 additional genes of immunologic relevance and/or therapeutic potential. Our analyses indicate there are no significant associations with rare protein-coding variants with detectable effect sizes at our current sample sizes. Analyses will be updated as additional data become available, and results are publicly available through the Regeneron Genetics Center COVID-19 Results Browser.

Published
2021
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19. Performance of polygenic risk scores for cancer prediction in a racially diverse academic biobank

Author

Lukas Habegger, Max Orelus, Marcus B. Jones, Anurag Verma, Aris Economides, Shareef Khalid, William J Salerno, Adam J. Mansfield, Luca A. Lotta, Maria Sotiropoulos Padilla, Louis Widom, Michael Cantor, Giovanni Coppola, Katherine L. Nathanson, Suganthi Balasubramanian, Razvan Panea, John D. Overton, Alicia Hawes, Anh D. Le, Jeffrey C. Staples, Danielle L. Mowery, Jason Mighty, Kara N. Maxwell, Renae Judy, Andrew Blumenfeld, Manasi Pradhan, Peter Gabriel, Heena Desai, Caitlin Forsythe, Jeffrey G. Reid, Lyndon J. Mitnaul, Christina Beechert, Xiaodong Bai, Olga Krasheninina, Zhenhua Gu, Abigail Doucette, Mrunali Nafde, Boris Boutkov, Kia Manoochehri, Marylyn D. Ritchie, Tommy Polanco, Rouel Lanche, Alexander E. Lopez, Ryan Hausler, Alan R. Shuldiner, Sarah E. Wolf, Thomas D. Schleicher, Gisu Eom, Shefali S. Verma, Sean O’Keeffe, Ayesha Rasool, Rachel L. Kember, Evan Maxwell, Michael Lattari, Erin D. Fuller, Scott M. Damrauer, Ricardo H. Ulloa, Gonçalo R. Abecasis, Louise Wang, and Aris Baras

Subjects
Gerontology, business.industry, Medicine, Cancer, Polygenic risk score, business, medicine.disease, Biobank
Abstract

PurposeGenome-wide association studies (GWAS) have identified hundreds of single nucleotide polymorphisms (SNPs) significantly associated with several cancers, but the predictive ability of polygenic risk scores (PRS) is unclear, especially among non-Whites.MethodsGenome-wide genotype data was available for 20,079 individuals enrolled in an academic biobank. PRS were derived from significant DNA variants for 15 cancers. We determined the discriminatory accuracy of each cancer-specific PRS in patients of genetically-determined African and European ancestry separately.ResultsAmong individuals of European genetic ancestry, PRS for breast, colon, melanoma, and prostate were significantly associated with their respective cancers (OR 1.25-1.47). Among individuals of African genetic ancestry, PRS for breast, colon, and prostate were significantly associated with their respective cancers. The AUC of a model comprised of age, sex, and principal components was 0.617–0.709 and increased by 1-4% with the PRS in individuals of European genetic ancestry. In individuals of African genetic ancestry, AUC was overall higher in the model without PRS (0.740-0.811) but increased < 1% with the PRS in the majority of cancers.ConclusionPRS constructed from SNPs moderately increased discriminatory ability for cancer status in individuals of European but not African ancestry. Further large-scale studies are needed to identify ancestry-specific genetic factors in non-White populations to incorporate PRS into cancer risk assessment.

Published
2021
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20. Performance of polygenic risk scores for cancer prediction in a racially diverse academic biobank

Author

Louise Wang, Heena Desai, Shefali S. Verma, Anh Le, Ryan Hausler, Anurag Verma, Renae Judy, Abigail Doucette, Peter E. Gabriel, Katherine L. Nathanson, Scott M. Damrauer, Danielle L. Mowery, Marylyn D. Ritchie, Rachel L. Kember, Kara N. Maxwell, Goncalo Abecasis, Xiaodong Bai, Suganthi Balasubramanian, Aris Baras, Andrew Blumenfeld, Boris Boutkov, Michael Cantor, Giovanni Coppola, Aris Economides, Gisu Eom, Lukas Habegger, Alicia Hawes, Marcus B. Jones, Shareef Khalid, Olga Krasheninina, Rouel Lanche, Luca A. Lotta, Adam J. Mansfield, Evan K. Maxwell, Jason Mighty, Lyndon J. Mitnaul, Mrunali Nafde, Sean O’Keeffe, Max Orelus, John D. Overton, Razvan Panea, Tommy Polanco, Ayesha Rasool, Jeffrey G. Reid, William Salerno, Jeffrey C. Staples, Alan Shuldiner, Christina Beechert, Caitlin Forsythe, Erin D. Fuller, Zhenhua Gu, Michael Lattari, Alexander Lopez, Kia Manoochehri, Manasi Pradhan, Thomas D. Schleicher, Maria Sotiropoulos Padilla, Ricardo H. Ulloa, Louis Widom, and Sarah E. Wolf

Subjects
Male, Multifactorial Inheritance, Risk Factors, Neoplasms, Black People, Humans, Female, Genetic Predisposition to Disease, Genetics (clinical), White People, Biological Specimen Banks, Genome-Wide Association Study
Abstract

Genome-wide association studies have identified hundreds of single nucleotide variations (formerly single nucleotide polymorphisms) associated with several cancers, but the predictive ability of polygenic risk scores (PRSs) is unclear, especially among non-Whites.PRSs were derived from genome-wide significant single-nucleotide variations for 15 cancers in 20,079 individuals in an academic biobank. We evaluated the improvement in discriminatory accuracy by including cancer-specific PRS in patients of genetically-determined African and European ancestry.Among the individuals of European genetic ancestry, PRSs for breast, colon, melanoma, and prostate were significantly associated with their respective cancers. Among the individuals of African genetic ancestry, PRSs for breast, colon, prostate, and thyroid were significantly associated with their respective cancers. The area under the curve of the model consisting of age, sex, and principal components was 0.621 to 0.710, and it increased by 1% to 4% with the inclusion of PRS in individuals of European genetic ancestry. In individuals of African genetic ancestry, area under the curve was overall higher in the model without the PRS (0.723-0.810) but increased by1% with the inclusion of PRS for most cancers.PRS moderately increased the ability to discriminate the cancer status in individuals of European but not African ancestry. Further large-scale studies are needed to identify ancestry-specific genetic factors in non-White populations to incorporate PRS into cancer risk assessment.

Published
2021

21. Meta-analysis uncovers genome-wide significant variants for rapid kidney function decline

Author

Lukas Habegger, Charumathi Sabanayagam, Michael Preuss, Laura M. Raffield, Mary F. Feitosa, Bamidele O. Tayo, Kevin Ho, Leo-Pekka Lyytikäinen, Florian Kronenberg, Valencia Hui Xian Foo, Adrienne Tin, Michael Cantor, Nisha Bansal, Tarunveer S. Ahluwalia, Melanie Waldenberger, Sarah A. Pendergrass, Behrooz Z. Alizadeh, Wolfgang Koenig, Qiong Yang, Xiaodong Bai, Christoph Wanner, Ben Schöttker, Giovanni Coppola, A. R. Shuldiner, Leslie A. Lange, Piyush Gampawar, Markus Scholz, Tien Yin Wong, Mary L. Biggs, Morris Swertz, Alicia Hawes, Girish N. Nadkarni, Christina-Alexandra Schulz, Chiea Chuen Khor, Ricardo H. Ulloa, Jeffrey C. Staples, Miao-Li Chee, Laura M. Yerges-Armstrong, Andrew Blumenfeld, Karlhans Endlich, Bernhard Banas, Bruce H.R. Wolffenbuttel, Kai-Uwe Eckardt, Pavel Hamet, Carsten A. Böger, Harold Snieder, Marcus B. Jones, Judy Wang, Shih-Jen Hwang, Mathias Gorski, Anselm Hoppmann, Josyf C. Mychaleckyj, Bernd Holleczek, Pamela R. Matias-Garcia, Rainer Rettig, Karsten B. Sieber, Manasi Pradhan, Pashupati P. Mishra, Peter Rossing, Matthias Wuttke, Miao-Ling Chee, H. Marike Boezen, Yong Li, M. Arfan Ikram, Jeffrey G. Reid, Teresa Nutile, Maria Sotiropoulos Padilla, Lude Franke, Robert J. Carroll, Luca A. Lotta, Bernhard K. Krämer, Kjell Nikus, Jerome I. Rotter, Thomas Meitinger, Lars Wallentin, Cisca Wijmenga, Kent D. Taylor, Holly Kramer, Louis Widom, Olli T. Raitakari, Marcus E. Kleber, Man Li, Nina Hutri-Kähönen, Massimiliano Cocca, Reinhold Schmidt, John D. Overton, Cristian Pattaro, Michael Lattari, Sarah E. Wolf, Jin-Fang Chai, Karina Toledo, Brigitte Kühnel, Zhenhua Gu, Peter Almgren, Caitlin Forsythe, Yuri Milaneschi, Stephan J. L. Bakker, Layal Chaker, Dawn M. Waterworth, Silke Szymczak, James G. Wilson, Peter J. van der Most, Michelle L. O'Donoghue, William Salerno, Masayuki Yasuda, Sahar Ghasemi, Eric Boerwinkle, Josef Coresh, Ilja M. Nolte, Kia Manoochehri, Konstantin Strauch, Thomas D. Schleicher, Myriam Rheinberger, Audrey Y. Chu, Sanaz Sedaghat, Sandra Freitag-Wolf, Boting Ning, Matthias Nauck, Christina Beechert, Helena Schmidt, Harvey D. White, Nina Mononen, Johanne Tremblay, Navya Shilpa Josyula, Mika Kähönen, Katrin Horn, Andre Franke, Marianne Rots, Bettina Jung, Alexander R. Rosenkranz, Christian M. Shaffer, Mary Ann Lukas, Gerjan Navis, Christian Gieger, John Chalmers, Shareef Khalid, Uwe Völker, Marju Orho-Melander, Iris M. Heid, Brenda W.J.H. Penninx, A. Baras, Alexander Lopez, Evan Maxwell, Ruth J. F. Loos, Erin D. Fuller, Christa Meisinger, Gonçalo R. Abecasis, Suganthi Balasubramanian, Chris H. L. Thio, Martin H. de Borst, Stefan Coassin, Ching-Yu Cheng, Wolfgang Lieb, Kenneth Rice, Alexander Teumer, Mark Woodward, Gisu Eom, Hermann Brenner, Thomas W. Winkler, Anna Köttgen, Edith Hofer, Aris Economides, Ron T. Gansevoort, Pim van der Harst, Lyndon J. Mitnaul, Bruce M. Psaty, Erwin P. Bottinger, Olle Melander, Niek Verweij, Frauke Degenhardt, Yan Zhang, Mohsen Ghanbari, Veronika Wanner, Terho Lehtimäki, Leland Barnard, Tampere University, Primary Health Care, Department of Paediatrics, Clinical Medicine, Department of Clinical Physiology and Nuclear Medicine, Department of Clinical Chemistry, TAYS Heart Centre, Groningen Institute for Organ Transplantation (GIOT), Groningen Kidney Center (GKC), Cardiovascular Centre (CVC), Life Course Epidemiology (LCE), Department of Marketing Management, Epidemiology, Internal Medicine, Psychiatry, Amsterdam Neuroscience - Complex Trait Genetics, Amsterdam Neuroscience - Mood, Anxiety, Psychosis, Stress & Sleep, APH - Mental Health, and APH - Digital Health

Subjects
0301 basic medicine, medicine.medical_specialty, Genome-wide association study, 030232 urology & nephrology, Protein Disulfide-Isomerases, Hasso-Plattner-Institut für Digital Engineering GmbH, Renal function, Locus (genetics), Biology, AMP-Activated Protein Kinases, Kidney, 3121 Internal medicine, 03 medical and health sciences, chemistry.chemical_compound, 0302 clinical medicine, end-stage kidney disease, rapid eGFRcrea decline, Urologi och njurmedicin, medicine, Humans, Urology and Nephrology, ddc:610, Allele, Genetic association, Genetics, Creatinine, genome-wide association study, Acute kidney injury, acute kidney injury, medicine.disease, United Kingdom, ddc, 030104 developmental biology, chemistry, Nephrology, Medical genetics, 3111 Biomedicine, 610 Medizin und Gesundheit, Glomerular Filtration Rate
Abstract

Rapid decline of glomerular filtration rate estimated from creatinine (eGFRcrea) is associated with severe clinical endpoints. In contrast to cross-sectionally assessed eGFRcrea, the genetic basis for rapid eGFRcrea decline is largely unknown. To help define this, we meta-analyzed 42 genome-wide association studies from the Chronic Kidney Diseases Genetics Consortium and United Kingdom Biobank to identify genetic loci for rapid eGFRcrea decline. Two definitions of eGFRcrea decline were used: 3 mL/min/1.73m(2)/year or more ("Rapid3"; encompassing 34,874 cases, 107,090 controls) and eGFRcrea decline 25% or more and eGFRcrea under 60 mL/min/1.73m(2) at follow-up among those with eGFRcrea 60 mL/min/1.73m(2) or more at baseline ("CKDi25"; encompassing 19,901 cases, 175,244 controls). Seven independent variants were identified across six loci for Rapid3 and/or CKDi25: consisting of five variants at four loci with genome-wide significance (near UMOD-PDILT (2), PRKAG2, WDR72, OR2S2) and two variants among 265 known eGFRcrea variants (near GATM, LARP4B). All these loci were novel for Rapid3 and/or CKDi25 and our bioinformatic follow-up prioritized variants and genes underneath these loci. The OR2S2 locus is novel for any eGFRcrea trait including interesting candidates. For the five genome-wide significant lead variants, we found supporting effects for annual change in blood urea nitrogen or cystatin-based eGFR, but not for GATM or (LARP4B). Individuals at high compared to those at low genetic risk (8-14 vs. 0-5 adverse alleles) had a 1.20-fold increased risk of acute kidney injury (95% confidence interval 1.08-1.33). Thus, our identified loci for rapid kidney function decline may help prioritize therapeutic targets and identify mechanisms and individuals at risk for sustained deterioration of kidney function., Zweitveröffentlichungen der Universität Potsdam : Reihe der Digital Engineering Fakultät; 19

Published
2021
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22. An international genome-wide meta-analysis of primary biliary cholangitis: Novel risk loci and candidate drugs

Author

Heather J. Cordell, James J. Fryett, Kazuko Ueno, Rebecca Darlay, Yoshihiro Aiba, Yuki Hitomi, Minae Kawashima, Nao Nishida, Seik-Soon Khor, Olivier Gervais, Yosuke Kawai, Masao Nagasaki, Katsushi Tokunaga, Ruqi Tang, Yongyong Shi, Zhiqiang Li, Brian D. Juran, Elizabeth J. Atkinson, Alessio Gerussi, Marco Carbone, Rosanna Asselta, Angela Cheung, Mariza de Andrade, Aris Baras, Julie Horowitz, Manuel A.R. Ferreira, Dylan Sun, David E. Jones, Steven Flack, Ann Spicer, Victoria L. Mulcahy, Jinyoung Byan, Younghun Han, Richard N. Sandford, Konstantinos N. Lazaridis, Christopher I. Amos, Gideon M. Hirschfield, Michael F. Seldin, Pietro Invernizzi, Katherine A. Siminovitch, Xiong Ma, Minoru Nakamura, George F. Mells, Andrew Mason, Catherine Vincent, Gang Xie, Jinyi Zhang, Andrea Affronti, Piero L. Almasio, Domenico Alvaro, Pietro Andreone, Angelo Andriulli, Francesco Azzaroli, Pier Maria Battezzati, Antonio Benedetti, MariaConsiglia Bragazzi, Maurizia Brunetto, Savino Bruno, Vincenza Calvaruso, Vincenzo Cardinale, Giovanni Casella, Nora Cazzagon, Antonio Ciaccio, Barbara Coco, Agostino Colli, Guido Colloredo, Massimo Colombo, Silvia Colombo, Laura Cristoferi, Carmela Cursaro, Lory Saveria Crocè, Andrea Crosignani, Daphne D’Amato, Francesca Donato, Gianfranco Elia, Luca Fabris, Stefano Fagiuoli, Carlo Ferrari, Annarosa Floreani, Andrea Galli, Edoardo Giannini, Ignazio Grattagliano, Pietro Lampertico, Ana Lleo, Federica Malinverno, Clara Mancuso, Fabio Marra, Marco Marzioni, Sara Massironi, Alberto Mattalia, Luca Miele, Chiara Milani, Lorenzo Morini, Filomena Morisco, Luigi Muratori, Paolo Muratori, Grazia A. Niro, Sarah O’Donnell, Antonio Picciotto, Piero Portincasa, Cristina Rigamonti, Vincenzo Ronca, Floriano Rosina, Giancarlo Spinzi, Mario Strazzabosco, Mirko Tarocchi, Claudio Tiribelli, Pierluigi Toniutto, Luca Valenti, Maria Vinci, Massimo Zuin, Hitomi Nakamura, Seigo Abiru, Shinya Nagaoka, Atsumasa Komori, Hiroshi Yatsuhashi, Hiromi Ishibashi, Masahiro Ito, Kiyoshi Migita, Hiromasa Ohira, Shinji Katsushima, Atsushi Naganuma, Kazuhiro Sugi, Tatsuji Komatsu, Tomohiko Mannami, Kouki Matsushita, Kaname Yoshizawa, Fujio Makita, Toshiki Nikami, Hideo Nishimura, Hiroshi Kouno, Hirotaka Kouno, Hajime Ota, Takuya Komura, Yoko Nakamura, Masaaki Shimada, Noboru Hirashima, Toshiki Komeda, Keisuke Ario, Makoto Nakamuta, Tsutomu Yamashita, Kiyoshi Furuta, Masahiro Kikuchi, Noriaki Naeshiro, Hironao Takahashi, Yutaka Mano, Seiji Tsunematsu, Iwao Yabuuchi, Yusuke Shimada, Kazuhiko Yamauchi, Rie Sugimoto, Hironori Sakai, Eiji Mita, Masaharu Koda, Satoru Tsuruta, Hiroshi Kamitsukasa, Takeaki Sato, Naohiko Masaki, Tatsuro Kobata, Nobuyoshi Fukushima, Yukio Ohara, Toyokichi Muro, Eiichi Takesaki, Hitoshi Takaki, Tetsuo Yamamoto, Michio Kato, Yuko Nagaoki, Shigeki Hayashi, Jinya Ishida, Yukio Watanabe, Masakazu Kobayashi, Michiaki Koga, Takeo Saoshiro, Michiyasu Yagura, Keisuke Hirata, Atsushu Tanaka, Hajime Takikawa, Mikio Zeniya, Masanori Abe, Morikazu Onji, Shuichi Kaneko, Masao Honda, Kuniaki Arai, Teruko Arinaga-Hino, Etsuko Hashimoto, Makiko Taniai, Takeji Umemura, Satoru Joshita, Kazuhiko Nakao, Tatsuki Ichikawa, Hidetaka Shibata, Satoshi Yamagiwa, Masataka Seike, Koichi Honda, Shotaro Sakisaka, Yasuaki Takeyama, Masaru Harada, Michio Senju, Osamu Yokosuka, Tatsuo Kanda, Yoshiyuki Ueno, Kentaro Kikuchi, Hirotoshi Ebinuma, Takashi Himoto, Michio Yasunami, Kazumoto Murata, Masashi Mizokami, Kazuhito Kawata, Shinji Shimoda, Yasuhiro Miyake, Akinobu Takaki, Kazuhide Yamamoto, Katsuji Hirano, Takafumi Ichida, Akio Ido, Hirohito Tsubouchi, Kazuaki Chayama, Kenichi Harada, Yasuni Nakanuma, Yoshihiko Maehara, Akinobu Taketomi, Ken Shirabe, Yuji Soejima, Akira Mori, Shintaro Yagi, Shinji Uemoto, Egawa H, Tomohiro Tanaka, Noriyo Yamashiki, Sumito Tamura, Yasuhiro Sugawara, Norihiro Kokudo, Naga Chalasani, Vel Luketic, Joseph Odin, Kapil Chopra, Goncalo Abecasis, Michael Cantor, Giovanni Coppola, Aris Economides, Luca A. Lotta, John D. Overton, Jeffrey G. Reid, Alan Shuldiner, Christina Beechert, Caitlin Forsythe, Erin D. Fuller, Zhenhua Gu, Michael Lattari, Alexander Lopez, Thomas D. Schleicher, Maria Sotiropoulos Padilla, Karina Toledo, Louis Widom, Sarah E. Wolf, Manasi Pradhan, Kia Manoochehri, Ricardo H. Ulloa, Xiaodong Bai, Suganthi Balasubramanian, Leland Barnard, Andrew Blumenfeld, Gisu Eom, Lukas Habegger, Alicia Hawes, Shareef Khalid, Evan K. Maxwell, William Salerno, Jeffrey C. Staples, Marcus B. Jones, Lyndon J. Mitnaul, Richard Sturgess, Christopher Healey, Andrew Yeoman, Anton VJ. Gunasekera, Paul Kooner, Kapil Kapur, V. Sathyanarayana, Yiannis Kallis, Javaid Subhani, Rory Harvey, Roger McCorry, Paul Rooney, David Ramanaden, Richard Evans, Thiriloganathan Mathialahan, Jaber Gasem, Christopher Shorrock, Mahesh Bhalme, Paul Southern, Jeremy A. Tibble, David A. Gorard, Susan Jones, George Mells, Victoria Mulcahy, Brijesh Srivastava, Matthew R. Foxton, Carole E. Collins, David Elphick, Mazn Karmo, Francisco Porras-Perez, Michael Mendall, Tom Yapp, Minesh Patel, Roland Ede, Joanne Sayer, James Jupp, Neil Fisher, Martyn J. Carter, Konrad Koss, Jayshri Shah, Andrzej Piotrowicz, Glyn Scott, Charles Grimley, Ian R. Gooding, Simon Williams, Judith Tidbury, Guan Lim, Kuldeep Cheent, Sass Levi, Dina Mansour, Matilda Beckley, Coral Hollywood, Terry Wong, Richard Marley, John Ramage, Harriet M. Gordon, Jo Ridpath, Theodore Ngatchu, Vijay Paul Bob Grover, Ray G. Shidrawi, George Abouda, L. Corless, Mark Narain, Ian Rees, Ashley Brown, Simon Taylor-Robinson, Joy Wilkins, Leonie Grellier, Paul Banim, Debasish Das, Michael A. Heneghan, Howard Curtis, Helen C. Matthews, Faiyaz Mohammed, Mark Aldersley, Raj Srirajaskanthan, Giles Walker, Alistair McNair, Amar Sharif, Sambit Sen, George Bird, Martin I. Prince, Geeta Prasad, Paul Kitchen, Adrian Barnardo, Chirag Oza, Nurani N. Sivaramakrishnan, Prakash Gupta, Amir Shah, Chris DJ. Evans, Subrata Saha, Katharine Pollock, Peter Bramley, Ashis Mukhopadhya, Stephen T. Barclay, Natasha McDonald, Andrew J. Bathgate, Kelvin Palmer, John F. Dillon, Simon M. Rushbrook, Robert Przemioslo, Chris McDonald, Andrew Millar, Cheh Tai, Stephen Mitchell, Jane Metcalf, Syed Shaukat, Mary Ninkovic, Udi Shmueli, Andrew Davis, Asifabbas Naqvi, Tom JW. Lee, Stephen Ryder, Jane Collier, Howard Klass, Matthew E. Cramp, Nichols Sharer, Richard Aspinall, Deb Ghosh, Andrew C. Douds, Jonathan Booth, Earl Williams, Hyder Hussaini, John Christie, Steven Mann, Douglas Thorburn, Aileen Marshall, Imran Patanwala, Aftab Ala, Julia Maltby, Ray Matthew, Chris Corbett, Sam Vyas, Saket Singhal, Dermot Gleeson, Sharat Misra, Jeff Butterworth, Keith George, Tim Harding, Andrew Douglass, Harriet Mitchison, Simon Panter, Jeremy Shearman, Gary Bray, Michael Roberts, Graham Butcher, Daniel Forton, Zahid Mahmood, Matthew Cowan, Debashis Das, Chin Lye Ch’ng, Mesbah Rahman, Gregory C.A. Whatley, Emma Wesley, Aditya Mandal, Sanjiv Jain, Stephen P. Pereira, Mark Wright, Palak Trivedi, Fiona H. Gordon, Esther Unitt, Altaf Palejwala, Andrew Austin, Vishwaraj Vemala, Allister Grant, Andrew D. Higham, Alison Brind, Ray Mathew, Mark Cox, Subramaniam Ramakrishnan, Alistair King, Simon Whalley, Jocelyn Fraser, S.J. Thomson, Andrew Bell, Voi Shim Wong, Richard Kia, Ian Gee, Richard Keld, Rupert Ransford, James Gotto, Charles Millson, Cordell, H. J., Fryett, J. J., Ueno, K., Darlay, R., Aiba, Y., Hitomi, Y., Kawashima, M., Nishida, N., Khor, S. -S., Gervais, O., Kawai, Y., Nagasaki, M., Tokunaga, K., Tang, R., Shi, Y., Li, Z., Juran, B. D., Atkinson, E. J., Gerussi, A., Carbone, M., Asselta, R., Cheung, A., de Andrade, M., Baras, A., Horowitz, J., Ferreira, M. A. R., Sun, D., Jones, D. E., Flack, S., Spicer, A., Mulcahy, V. L., Byan, J., Han, Y., Sandford, R. N., Lazaridis, K. N., Amos, C. I., Hirschfield, G. M., Seldin, M. F., Invernizzi, P., Siminovitch, K. A., Ma, X., Nakamura, M., Mells, G. F., Mason, A., Vincent, C., Xie, G., Zhang, J., Affronti, A., Almasio, P. L., Alvaro, D., Andreone, P., Andriulli, A., Azzaroli, F., Battezzati, P. M., Benedetti, A., Bragazzi, M., Brunetto, M., Bruno, S., Calvaruso, V., Cardinale, V., Casella, G., Cazzagon, N., Ciaccio, A., Coco, B., Colli, A., Colloredo, G., Colombo, M., Colombo, S., Cristoferi, L., Cursaro, C., Croce, L. S., Crosignani, A., D'Amato, D., Donato, F., Elia, G., Fabris, L., Fagiuoli, S., Ferrari, C., Floreani, A., Galli, A., Giannini, E., Grattagliano, I., Lampertico, P., Lleo, A., Malinverno, F., Mancuso, C., Marra, F., Marzioni, M., Massironi, S., Mattalia, A., Miele, L., Milani, C., Morini, L., Morisco, F., Muratori, L., Muratori, P., Niro, G. A., O'Donnell, S., Picciotto, A., Portincasa, P., Rigamonti, C., Ronca, V., Rosina, F., Spinzi, G., Strazzabosco, M., Tarocchi, M., Tiribelli, C., Toniutto, P., Valenti, L., Vinci, M., Zuin, M., Nakamura, H., Abiru, S., Nagaoka, S., Komori, A., Yatsuhashi, H., Ishibashi, H., Ito, M., Migita, K., Ohira, H., Katsushima, S., Naganuma, A., Sugi, K., Komatsu, T., Mannami, T., Matsushita, K., Yoshizawa, K., Makita, F., Nikami, T., Nishimura, H., Kouno, H., Ota, H., Komura, T., Nakamura, Y., Shimada, M., Hirashima, N., Komeda, T., Ario, K., Nakamuta, M., Yamashita, T., Furuta, K., Kikuchi, M., Naeshiro, N., Takahashi, H., Mano, Y., Tsunematsu, S., Yabuuchi, I., Shimada, Y., Yamauchi, K., Sugimoto, R., Sakai, H., Mita, E., Koda, M., Tsuruta, S., Kamitsukasa, H., Sato, T., Masaki, N., Kobata, T., Fukushima, N., Ohara, Y., Muro, T., Takesaki, E., Takaki, H., Yamamoto, T., Kato, M., Nagaoki, Y., Hayashi, S., Ishida, J., Watanabe, Y., Kobayashi, M., Koga, M., Saoshiro, T., Yagura, M., Hirata, K., Tanaka, A., Takikawa, H., Zeniya, M., Abe, M., Onji, M., Kaneko, S., Honda, M., Arai, K., Arinaga-Hino, T., Hashimoto, E., Taniai, M., Umemura, T., Joshita, S., Nakao, K., Ichikawa, T., Shibata, H., Yamagiwa, S., Seike, M., Honda, K., Sakisaka, S., Takeyama, Y., Harada, M., Senju, M., Yokosuka, O., Kanda, T., Ueno, Y., Kikuchi, K., Ebinuma, H., Himoto, T., Yasunami, M., Murata, K., Mizokami, M., Kawata, K., Shimoda, S., Miyake, Y., Takaki, A., Yamamoto, K., Hirano, K., Ichida, T., Ido, A., Tsubouchi, H., Chayama, K., Harada, K., Nakanuma, Y., Maehara, Y., Taketomi, A., Shirabe, K., Soejima, Y., Mori, A., Yagi, S., Uemoto, S., H, E., Tanaka, T., Yamashiki, N., Tamura, S., Sugawara, Y., Kokudo, N., Chalasani, N., Luketic, V., Odin, J., Chopra, K., Abecasis, G., Cantor, M., Coppola, G., Economides, A., Lotta, L. A., Overton, J. D., Reid, J. G., Shuldiner, A., Beechert, C., Forsythe, C., Fuller, E. D., Gu, Z., Lattari, M., Lopez, A., Schleicher, T. D., Padilla, M. S., Toledo, K., Widom, L., Wolf, S. E., Pradhan, M., Manoochehri, K., Ulloa, R. H., Bai, X., Balasubramanian, S., Barnard, L., Blumenfeld, A., Eom, G., Habegger, L., Hawes, A., Khalid, S., Maxwell, E. K., Salerno, W., Staples, J. C., Jones, M. B., Mitnaul, L. J., Sturgess, R., Healey, C., Yeoman, A., Gunasekera, A. V., Kooner, P., Kapur, K., Sathyanarayana, V., Kallis, Y., Subhani, J., Harvey, R., Mccorry, R., Rooney, P., Ramanaden, D., Evans, R., Mathialahan, T., Gasem, J., Shorrock, C., Bhalme, M., Southern, P., Tibble, J. A., Gorard, D. A., Jones, S., Mells, G., Mulcahy, V., Srivastava, B., Foxton, M. R., Collins, C. E., Elphick, D., Karmo, M., Porras-Perez, F., Mendall, M., Yapp, T., Patel, M., Ede, R., Sayer, J., Jupp, J., Fisher, N., Carter, M. J., Koss, K., Shah, J., Piotrowicz, A., Scott, G., Grimley, C., Gooding, I. R., Williams, S., Tidbury, J., Lim, G., Cheent, K., Levi, S., Mansour, D., Beckley, M., Hollywood, C., Wong, T., Marley, R., Ramage, J., Gordon, H. M., Ridpath, J., Ngatchu, T., Bob Grover, V. P., Shidrawi, R. G., Abouda, G., Corless, L., Narain, M., Rees, I., Brown, A., Taylor-Robinson, S., Wilkins, J., Grellier, L., Banim, P., Das, D., Heneghan, M. A., Curtis, H., Matthews, H. C., Mohammed, F., Aldersley, M., Srirajaskanthan, R., Walker, G., Mcnair, A., Sharif, A., Sen, S., Bird, G., Prince, M. I., Prasad, G., Kitchen, P., Barnardo, A., Oza, C., Sivaramakrishnan, N. N., Gupta, P., Shah, A., Evans, C. D., Saha, S., Pollock, K., Bramley, P., Mukhopadhya, A., Barclay, S. T., Mcdonald, N., Bathgate, A. J., Palmer, K., Dillon, J. F., Rushbrook, S. M., Przemioslo, R., Mcdonald, C., Millar, A., Tai, C., Mitchell, S., Metcalf, J., Shaukat, S., Ninkovic, M., Shmueli, U., Davis, A., Naqvi, A., Lee, T. J., Ryder, S., Collier, J., Klass, H., Cramp, M. E., Sharer, N., Aspinall, R., Ghosh, D., Douds, A. C., Booth, J., Williams, E., Hussaini, H., Christie, J., Mann, S., Thorburn, D., Marshall, A., Patanwala, I., Ala, A., Maltby, J., Matthew, R., Corbett, C., Vyas, S., Singhal, S., Gleeson, D., Misra, S., Butterworth, J., George, K., Harding, T., Douglass, A., Mitchison, H., Panter, S., Shearman, J., Bray, G., Roberts, M., Butcher, G., Forton, D., Mahmood, Z., Cowan, M., Ch'Ng, C. L., Rahman, M., Whatley, G. C. A., Wesley, E., Mandal, A., Jain, S., Pereira, S. P., Wright, M., Trivedi, P., Gordon, F. H., Unitt, E., Palejwala, A., Austin, A., Vemala, V., Grant, A., Higham, A. D., Brind, A., Mathew, R., Cox, M., Ramakrishnan, S., King, A., Whalley, S., Fraser, J., Thomson, S. J., Bell, A., Wong, V. S., Kia, R., Gee, I., Keld, R., Ransford, R., Gotto, J., Millson, C., Cordell H.J., Fryett J.J., Ueno K., Darlay R., Aiba Y., Hitomi Y., Kawashima M., Nishida N., Khor S.-S., Gervais O., Kawai Y., Nagasaki M., Tokunaga K., Tang R., Shi Y., Li Z., Juran B.D., Atkinson E.J., Gerussi A., Carbone M., Asselta R., Cheung A., de Andrade M., Baras A., Horowitz J., Ferreira M.A.R., Sun D., Jones D.E., Flack S., Spicer A., Mulcahy V.L., Byan J., Han Y., Sandford R.N., Lazaridis K.N., Amos C.I., Hirschfield G.M., Seldin M.F., Invernizzi P., Siminovitch K.A., Ma X., Nakamura M., Mells G.F., Mason A., Vincent C., Xie G., Zhang J., Affronti A., Almasio P.L., Alvaro D., Andreone P., Andriulli A., Azzaroli F., Battezzati P.M., Benedetti A., Bragazzi M., Brunetto M., Bruno S., Calvaruso V., Cardinale V., Casella G., Cazzagon N., Ciaccio A., Coco B., Colli A., Colloredo G., Colombo M., Colombo S., Cristoferi L., Cursaro C., Croce L.S., Crosignani A., D'Amato D., Donato F., Elia G., Fabris L., Fagiuoli S., Ferrari C., Floreani A., Galli A., Giannini E., Grattagliano I., Lampertico P., Lleo A., Malinverno F., Mancuso C., Marra F., Marzioni M., Massironi S., Mattalia A., Miele L., Milani C., Morini L., Morisco F., Muratori L., Muratori P., Niro G.A., O'Donnell S., Picciotto A., Portincasa P., Rigamonti C., Ronca V., Rosina F., Spinzi G., Strazzabosco M., Tarocchi M., Tiribelli C., Toniutto P., Valenti L., Vinci M., Zuin M., Nakamura H., Abiru S., Nagaoka S., Komori A., Yatsuhashi H., Ishibashi H., Ito M., Migita K., Ohira H., Katsushima S., Naganuma A., Sugi K., Komatsu T., Mannami T., Matsushita K., Yoshizawa K., Makita F., Nikami T., Nishimura H., Kouno H., Ota H., Komura T., Nakamura Y., Shimada M., Hirashima N., Komeda T., Ario K., Nakamuta M., Yamashita T., Furuta K., Kikuchi M., Naeshiro N., Takahashi H., Mano Y., Tsunematsu S., Yabuuchi I., Shimada Y., Yamauchi K., Sugimoto R., Sakai H., Mita E., Koda M., Tsuruta S., Kamitsukasa H., Sato T., Masaki N., Kobata T., Fukushima N., Ohara Y., Muro T., Takesaki E., Takaki H., Yamamoto T., Kato M., Nagaoki Y., Hayashi S., Ishida J., Watanabe Y., Kobayashi M., Koga M., Saoshiro T., Yagura M., Hirata K., Tanaka A., Takikawa H., Zeniya M., Abe M., Onji M., Kaneko S., Honda M., Arai K., Arinaga-Hino T., Hashimoto E., Taniai M., Umemura T., Joshita S., Nakao K., Ichikawa T., Shibata H., Yamagiwa S., Seike M., Honda K., Sakisaka S., Takeyama Y., Harada M., Senju M., Yokosuka O., Kanda T., Ueno Y., Kikuchi K., Ebinuma H., Himoto T., Yasunami M., Murata K., Mizokami M., Kawata K., Shimoda S., Miyake Y., Takaki A., Yamamoto K., Hirano K., Ichida T., Ido A., Tsubouchi H., Chayama K., Harada K., Nakanuma Y., Maehara Y., Taketomi A., Shirabe K., Soejima Y., Mori A., Yagi S., Uemoto S., H E., Tanaka T., Yamashiki N., Tamura S., Sugawara Y., Kokudo N., Chalasani N., Luketic V., Odin J., Chopra K., Abecasis G., Cantor M., Coppola G., Economides A., Lotta L.A., Overton J.D., Reid J.G., Shuldiner A., Beechert C., Forsythe C., Fuller E.D., Gu Z., Lattari M., Lopez A., Schleicher T.D., Padilla M.S., Toledo K., Widom L., Wolf S.E., Pradhan M., Manoochehri K., Ulloa R.H., Bai X., Balasubramanian S., Barnard L., Blumenfeld A., Eom G., Habegger L., Hawes A., Khalid S., Maxwell E.K., Salerno W., Staples J.C., Jones M.B., Mitnaul L.J., Sturgess R., Healey C., Yeoman A., Gunasekera A.V., Kooner P., Kapur K., Sathyanarayana V., Kallis Y., Subhani J., Harvey R., McCorry R., Rooney P., Ramanaden D., Evans R., Mathialahan T., Gasem J., Shorrock C., Bhalme M., Southern P., Tibble J.A., Gorard D.A., Jones S., Mells G., Mulcahy V., Srivastava B., Foxton M.R., Collins C.E., Elphick D., Karmo M., Porras-Perez F., Mendall M., Yapp T., Patel M., Ede R., Sayer J., Jupp J., Fisher N., Carter M.J., Koss K., Shah J., Piotrowicz A., Scott G., Grimley C., Gooding I.R., Williams S., Tidbury J., Lim G., Cheent K., Levi S., Mansour D., Beckley M., Hollywood C., Wong T., Marley R., Ramage J., Gordon H.M., Ridpath J., Ngatchu T., Bob Grover V.P., Shidrawi R.G., Abouda G., Corless L., Narain M., Rees I., Brown A., Taylor-Robinson S., Wilkins J., Grellier L., Banim P., Das D., Heneghan M.A., Curtis H., Matthews H.C., Mohammed F., Aldersley M., Srirajaskanthan R., Walker G., McNair A., Sharif A., Sen S., Bird G., Prince M.I., Prasad G., Kitchen P., Barnardo A., Oza C., Sivaramakrishnan N.N., Gupta P., Shah A., Evans C.D., Saha S., Pollock K., Bramley P., Mukhopadhya A., Barclay S.T., McDonald N., Bathgate A.J., Palmer K., Dillon J.F., Rushbrook S.M., Przemioslo R., McDonald C., Millar A., Tai C., Mitchell S., Metcalf J., Shaukat S., Ninkovic M., Shmueli U., Davis A., Naqvi A., Lee T.J., Ryder S., Collier J., Klass H., Cramp M.E., Sharer N., Aspinall R., Ghosh D., Douds A.C., Booth J., Williams E., Hussaini H., Christie J., Mann S., Thorburn D., Marshall A., Patanwala I., Ala A., Maltby J., Matthew R., Corbett C., Vyas S., Singhal S., Gleeson D., Misra S., Butterworth J., George K., Harding T., Douglass A., Mitchison H., Panter S., Shearman J., Bray G., Roberts M., Butcher G., Forton D., Mahmood Z., Cowan M., Ch'ng C.L., Rahman M., Whatley G.C.A., Wesley E., Mandal A., Jain S., Pereira S.P., Wright M., Trivedi P., Gordon F.H., Unitt E., Palejwala A., Austin A., Vemala V., Grant A., Higham A.D., Brind A., Mathew R., Cox M., Ramakrishnan S., King A., Whalley S., Fraser J., Thomson S.J., Bell A., Wong V.S., Kia R., Gee I., Keld R., Ransford R., Gotto J., Millson C., Medical Research Council (MRC), LiveR North, Cordell, H, Fryett, J, Ueno, K, Darlay, R, Aiba, Y, Hitomi, Y, Kawashima, M, Nishida, N, Khor, S, Gervais, O, Kawai, Y, Nagasaki, M, Tokunaga, K, Tang, R, Shi, Y, Li, Z, Juran, B, Atkinson, E, Gerussi, A, Carbone, M, Asselta, R, Cheung, A, de Andrade, M, Baras, A, Horowitz, J, Ferreira, M, Sun, D, Jones, D, Flack, S, Spicer, A, Mulcahy, V, Byan, J, Han, Y, Sandford, R, Lazaridis, K, Amos, C, Hirschfield, G, Seldin, M, Invernizzi, P, Siminovitch, K, Ma, X, Nakamura, M, Mells, G, Mason, A, Vincent, C, Xie, G, Zhang, J, Affronti, A, Almasio, P, Alvaro, D, Andreone, P, Andriulli, A, Azzaroli, F, Battezzati, P, Benedetti, A, Bragazzi, M, Brunetto, M, Bruno, S, Calvaruso, V, Cardinale, V, Casella, G, Cazzagon, N, Ciaccio, A, Coco, B, Colli, A, Colloredo, G, Colombo, M, Colombo, S, Cristoferi, L, Cursaro, C, Croce, L, Crosignani, A, D'Amato, D, Donato, F, Elia, G, Fabris, L, Fagiuoli, S, Ferrari, C, Floreani, A, Galli, A, Giannini, E, Grattagliano, I, Lampertico, P, Lleo, A, Malinverno, F, Mancuso, C, Marra, F, Marzioni, M, Massironi, S, Mattalia, A, Miele, L, Milani, C, Morini, L, Morisco, F, Muratori, L, Muratori, P, Niro, G, O'Donnell, S, Picciotto, A, Portincasa, P, Rigamonti, C, Ronca, V, Rosina, F, Spinzi, G, Strazzabosco, M, Tarocchi, M, Tiribelli, C, Toniutto, P, Valenti, L, Vinci, M, Zuin, M, Nakamura, H, Abiru, S, Nagaoka, S, Komori, A, Yatsuhashi, H, Ishibashi, H, Ito, M, Migita, K, Ohira, H, Katsushima, S, Naganuma, A, Sugi, K, Komatsu, T, Mannami, T, Matsushita, K, Yoshizawa, K, Makita, F, Nikami, T, Nishimura, H, Kouno, H, Ota, H, Komura, T, Nakamura, Y, Shimada, M, Hirashima, N, Komeda, T, Ario, K, Nakamuta, M, Yamashita, T, Furuta, K, Kikuchi, M, Naeshiro, N, Takahashi, H, Mano, Y, Tsunematsu, S, Yabuuchi, I, Shimada, Y, Yamauchi, K, Sugimoto, R, Sakai, H, Mita, E, Koda, M, Tsuruta, S, Kamitsukasa, H, Sato, T, Masaki, N, Kobata, T, Fukushima, N, Ohara, Y, Muro, T, Takesaki, E, Takaki, H, Yamamoto, T, Kato, M, Nagaoki, Y, Hayashi, S, Ishida, J, Watanabe, Y, Kobayashi, M, Koga, M, Saoshiro, T, Yagura, M, Hirata, K, Tanaka, A, Takikawa, H, Zeniya, M, Abe, M, Onji, M, Kaneko, S, Honda, M, Arai, K, Arinaga-Hino, T, Hashimoto, E, Taniai, M, Umemura, T, Joshita, S, Nakao, K, Ichikawa, T, Shibata, H, Yamagiwa, S, Seike, M, Honda, K, Sakisaka, S, Takeyama, Y, Harada, M, Senju, M, Yokosuka, O, Kanda, T, Ueno, Y, Kikuchi, K, Ebinuma, H, Himoto, T, Yasunami, M, Murata, K, Mizokami, M, Kawata, K, Shimoda, S, Miyake, Y, Takaki, A, Yamamoto, K, Hirano, K, Ichida, T, Ido, A, Tsubouchi, H, Chayama, K, Harada, K, Nakanuma, Y, Maehara, Y, Taketomi, A, Shirabe, K, Soejima, Y, Mori, A, Yagi, S, Uemoto, S, H, E, Tanaka, T, Yamashiki, N, Tamura, S, Sugawara, Y, Kokudo, N, Chalasani, N, Luketic, V, Odin, J, Chopra, K, Abecasis, G, Cantor, M, Coppola, G, Economides, A, Lotta, L, Overton, J, Reid, J, Shuldiner, A, Beechert, C, Forsythe, C, Fuller, E, Gu, Z, Lattari, M, Lopez, A, Schleicher, T, Padilla, M, Toledo, K, Widom, L, Wolf, S, Pradhan, M, Manoochehri, K, Ulloa, R, Bai, X, Balasubramanian, S, Barnard, L, Blumenfeld, A, Eom, G, Habegger, L, Hawes, A, Khalid, S, Maxwell, E, Salerno, W, Staples, J, Jones, M, Mitnaul, L, Sturgess, R, Healey, C, Yeoman, A, Gunasekera, A, Kooner, P, Kapur, K, Sathyanarayana, V, Kallis, Y, Subhani, J, Harvey, R, Mccorry, R, Rooney, P, Ramanaden, D, Evans, R, Mathialahan, T, Gasem, J, Shorrock, C, Bhalme, M, Southern, P, Tibble, J, Gorard, D, Jones, S, Srivastava, B, Foxton, M, Collins, C, Elphick, D, Karmo, M, Porras-Perez, F, Mendall, M, Yapp, T, Patel, M, Ede, R, Sayer, J, Jupp, J, Fisher, N, Carter, M, Koss, K, Shah, J, Piotrowicz, A, Scott, G, Grimley, C, Gooding, I, Williams, S, Tidbury, J, Lim, G, Cheent, K, Levi, S, Mansour, D, Beckley, M, Hollywood, C, Wong, T, Marley, R, Ramage, J, Gordon, H, Ridpath, J, Ngatchu, T, Bob Grover, V, Shidrawi, R, Abouda, G, Corless, L, Narain, M, Rees, I, Brown, A, Taylor-Robinson, S, Wilkins, J, Grellier, L, Banim, P, Das, D, Heneghan, M, Curtis, H, Matthews, H, Mohammed, F, Aldersley, M, Srirajaskanthan, R, Walker, G, Mcnair, A, Sharif, A, Sen, S, Bird, G, Prince, M, Prasad, G, Kitchen, P, Barnardo, A, Oza, C, Sivaramakrishnan, N, Gupta, P, Shah, A, Evans, C, Saha, S, Pollock, K, Bramley, P, Mukhopadhya, A, Barclay, S, Mcdonald, N, Bathgate, A, Palmer, K, Dillon, J, Rushbrook, S, Przemioslo, R, Mcdonald, C, Millar, A, Tai, C, Mitchell, S, Metcalf, J, Shaukat, S, Ninkovic, M, Shmueli, U, Davis, A, Naqvi, A, Lee, T, Ryder, S, Collier, J, Klass, H, Cramp, M, Sharer, N, Aspinall, R, Ghosh, D, Douds, A, Booth, J, Williams, E, Hussaini, H, Christie, J, Mann, S, Thorburn, D, Marshall, A, Patanwala, I, Ala, A, Maltby, J, Matthew, R, Corbett, C, Vyas, S, Singhal, S, Gleeson, D, Misra, S, Butterworth, J, George, K, Harding, T, Douglass, A, Mitchison, H, Panter, S, Shearman, J, Bray, G, Roberts, M, Butcher, G, Forton, D, Mahmood, Z, Cowan, M, Ch'Ng, C, Rahman, M, Whatley, G, Wesley, E, Mandal, A, Jain, S, Pereira, S, Wright, M, Trivedi, P, Gordon, F, Unitt, E, Palejwala, A, Austin, A, Vemala, V, Grant, A, Higham, A, Brind, A, Mathew, R, Cox, M, Ramakrishnan, S, King, A, Whalley, S, Fraser, J, Thomson, S, Bell, A, Wong, V, Kia, R, Gee, I, Keld, R, Ransford, R, Gotto, J, Millson, C, Cordell HJ, Fryett JJ, Ueno K, Darlay R, Aiba Y, Hitomi Y, Kawashima M, Nishida N, Khor SS, Gervais O, Kawai Y, Nagasaki M, Tokunaga K, Tang R, Shi Y, Li Z, Juran BD, Atkinson EJ, Gerussi A, Carbone M, Asselta R, Cheung A, de Andrade M, Baras A, Horowitz J, Ferreira MAR, Sun D, Jones DE, Flack S, Spicer A, Mulcahy VL, Byan J, Han Y, Sandford RN, Lazaridis KN, Amos CI, Hirschfield GM, Seldin MF, Invernizzi P, Siminovitch KA, Ma X, Nakamura M, Mells GF, PBC Consortia, Canadian PBC Consortium, Chinese PBC Consortium, Italian PBC Study Group, Japan-PBC-GWAS Consortium, US PBC Consortium, UK-PBC Consortium, and Calvaruso V. .

Subjects
Liver Cirrhosis, ALSPAC, ERN RARE-LIVER, Genomic co-localization, Network-based in silico drug efficacy screening, UK-PBC, 0301 basic medicine, Candidate gene, Genome-Wide Association Study, Humans, Liver Cirrhosis, Biliary, Italian PBC Study Group, LD SCORE REGRESSION, Japan-PBC-GWAS Consortium, Genome-wide association study, Locus (genetics), Disease, SUSCEPTIBILITY, PBC, Chronic liver disease, Bioinformatics, GENETIC ASSOCIATION, 1117 Public Health and Health Services, 03 medical and health sciences, 0302 clinical medicine, UK-PBC Consortium, Genotype, Medicine, Genetic association, Science & Technology, Gastroenterology & Hepatology, Hepatology, business.industry, Biliary, Chinese PBC Consortium, 1103 Clinical Sciences, medicine.disease, PBC Consortia, 030104 developmental biology, Meta-analysis, ERN RARE LIVER, 030211 gastroenterology & hepatology, US PBC Consortium, Canadian PBC Consortium, business, Life Sciences & Biomedicine, Human
Abstract

[BACKGROUND & AIMS] Primary biliary cholangitis (PBC) is a chronic liver disease in which autoimmune destruction of the small intra-hepatic bile ducts eventually leads to cirrhosis. Many patients have inadequate response to licensed medications, motivating the search for novel therapies. Previous genome-wide association studies (GWAS) and meta-analyses (GWMA) of PBC have identified numerous risk loci for this condition, providing insight into its aetiology. We undertook the largest GWMA of PBC to date, aiming to identify additional risk loci and prioritise candidate genes for in silico drug efficacy screening. [METHODS] We combined new and existing genotype data for 10, 516 cases and 20, 772 controls from five European and two East Asian cohorts. [RESULTS] We identified 56 genome-wide significant loci (20 novel) including 46 in European, 13 in Asian, and 41 in combined cohorts; and a 57th genome-wide significant locus (also novel) in conditional analysis of the European cohorts. Candidate genes at newly identified loci include FCRL3, INAVA, PRDM1, IRF7, CCR6, CD226, and IL12RB1, each having key roles in immunity. Pathway analysis reiterated the likely importance of pattern recognition receptor and TNF signalling, Jak-STAT signalling, and differentiation of TH1 and TH17 cells in the pathogenesis of this disease. Drug efficacy screening identified several medications predicted to be therapeutic in PBC, some well-established in the treatment of other autoimmune disorders. [CONCLUSIONS] This study has identified additional risk loci for PBC, provided a hierarchy of agents that could be trialled in this condition, and emphasised the value of genetic and genomic approaches to drug discovery in complex disorders. [Lay summary] Primary biliary cholangitis (PBC) is a chronic liver disease that eventually leads to cirrhosis. In this study, we analysed genetic information from 10, 516 people with PBC and 20, 772 healthy individuals recruited in Canada, China, Italy, Japan, UK, or USA. We identified several genetic regions associated with PBC. Each of these regions contains several genes. For each region, we used diverse sources of evidence to help us choose the gene most likely to be involved in causing PBC. We used these ‘candidate genes’ to help us identify medications that are currently used for treatment of other conditions, which might also be useful for treatment of PBC., 原発性胆汁性胆管炎のゲノムワイド関連解析 --国際メタ解析による新規疾患感受性遺伝子と治療薬候補の同定--. 京都大学プレスリリース. 2021-06-28.

Published
2021

23. Advancing human genetics research and drug discovery through exome sequencing of the UK Biobank

Author

Joseph D, Szustakowski, Suganthi, Balasubramanian, Erika, Kvikstad, Shareef, Khalid, Paola G, Bronson, Ariella, Sasson, Emily, Wong, Daren, Liu, J, Wade Davis, Carolina, Haefliger, A, Katrina Loomis, Rajesh, Mikkilineni, Hyun Ji, Noh, Samir, Wadhawan, Xiaodong, Bai, Alicia, Hawes, Olga, Krasheninina, Ricardo, Ulloa, Alex E, Lopez, Erin N, Smith, Jeffrey F, Waring, Christopher D, Whelan, Ellen A, Tsai, John D, Overton, William J, Salerno, Howard, Jacob, Sandor, Szalma, Heiko, Runz, Gregory, Hinkle, Paul, Nioi, Slavé, Petrovski, Melissa R, Miller, Aris, Baras, Lyndon J, Mitnaul, Jeffrey G, Reid, and Zhan, Ye

Subjects
Research, Drug Discovery, Exome Sequencing, Humans, Human Genetics, Genomics, United Kingdom, Biological Specimen Banks
Abstract

The UK Biobank Exome Sequencing Consortium (UKB-ESC) is a private-public partnership between the UK Biobank (UKB) and eight biopharmaceutical companies that will complete the sequencing of exomes for all ~500,000 UKB participants. Here, we describe the early results from ~200,000 UKB participants and the features of this project that enabled its success. The biopharmaceutical industry has increasingly used human genetics to improve success in drug discovery. Recognizing the need for large-scale human genetics data, as well as the unique value of the data access and contribution terms of the UKB, the UKB-ESC was formed. As a result, exome data from 200,643 UKB enrollees are now available. These data include ~10 million exonic variants-a rich resource of rare coding variation that is particularly valuable for drug discovery. The UKB-ESC precompetitive collaboration has further strengthened academic and industry ties and has provided teams with an opportunity to interact with and learn from the wider research community.

Published
2020

24. Advancing Human Genetics Research and Drug Discovery through Exome Sequencing of the UK Biobank

Author

Xiaodong Bai, Samir Wadhawan, Howard J. Jacob, Carolina Haefliger, Ariella Sasson, Rajesh Mikkilineni, Daren Liu, William J. Salerno, Jeffrey F. Waring, Joseph D. Szustakowski, Emily Wong, Paola G. Bronson, Ellen A. Tsai, Gregory Hinkle, Suganthi Balasubramanian, Alex Lopez, Olga Krasheninina, A. Katrina Loomis, E. N. Smith, Melissa R. Miller, Sándor Szalma, Hyun Ji Noh, Heiko Runz, Paul Nioi, Shareef Khalid, Christopher D. Whelan, Jeffrey G. Reid, Slavé Petrovski, Alicia Hawes, Lyndon J. Mitnaul, Ricardo Ulloa, John D. Overton, J. Wade Davis, Aris Baras, and Erika Kvikstad

Subjects
0303 health sciences, business.industry, Drug discovery, Genomics, Computational biology, Biology, Data science, Biobank, Human genetics, 03 medical and health sciences, Open data, 0302 clinical medicine, Drug development, General partnership, Genetics, business, Indel, Exome, 030217 neurology & neurosurgery, Biomedicine, Exome sequencing, 030304 developmental biology
Abstract

The UK Biobank Exome Sequencing Consortium (UKB-ESC) is a unique private/public partnership between the UK Biobank and eight biopharma companies that will sequence the exomes of all ∼500,000 UK Biobank participants. Here we describe early results from the exome sequence data generated by this consortium for the first ∼200,000 UKB subjects and the key features of this project that enabled the UKB-ESC to come together and generate this data.Exome sequencing data from the first 200,643 UKB enrollees are now accessible to the research community. Approximately 10M variants were observed within the targeted regions, including: 8,086,176 SNPs, 370,958 indels and 1,596,984 multi-allelic variants. Of the ∼8M variants observed, 84.5% are coding variants and include 2,139,318 (25.3%) synonymous, 4,549,694 (53.8%) missense, 453,733 (5.4%) predicted loss-of-function (LOF) variants (initiation codon loss, premature stop codons, stop codon loss, splicing and frameshift variants) affecting at least one coding transcript. This open access data provides a rich resource of coding variants for rare variant genetic studies, and is particularly valuable for drug discovery efforts that utilize rare, functionally consequential variants.Over the past decade, the biopharma industry has increasingly leveraged human genetics as part of their drug discovery and development strategies. This shift was motivated by technical advances that enabled cost-effective human genetics research at scale, the emergence of electronic health records and biobanks, and a maturing understanding of how human genetics can increase the probability of successful drug development. Recognizing the need for large-scale human genetics data to drive drug discovery, and the unique value of the open data access policies and contribution terms of the UK Biobank, the UKB-ESC was formed. This precompetitive collaboration has further strengthened the ties between academia and industry and provided teams an unprecedented opportunity to interact with and learn from the wider research community.

Published
2020
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25. A catalog of associations between rare coding variants and COVID-19 outcomes

Author

Anurag Verma, Anne E. Justice, Guillaume Butler-Laporte, E. N. Smith, Lukas Habegger, Joelle Mbatchou, Susan P. Walker, Albert Tenesa, Joseph D. Szustakowski, Konrad Rawlik, Dylan Sun, Loukas Moutsianas, Shane McCarthy, Richard H Scott, Aris Baras, Evan Maxwell, Aldo Cordova-Palomera, Tooraj Mirshahi, Dorota Pasko, David J. Carey, Sahar Esmaeli, Adam J. Mansfield, Quanli Wang, Jeffrey S. Reid, Nilanjana Banerjee, Joshua D. Backman, Athanasios Kousathanas, Ashish Yadav, Mark J. Caulfield, Alison M. Meynert, Rouel Lanche, Jack A. Kosmicki, James F. Wilson, J. Brent Richards, Heiko Runz, Gonçalo R. Abecasis, Adam E. Locke, Justin W. Davis, Mark Lathrop, Alan R. Shuldiner, Lauren Gurski, J Kenneth Baillie, Michael N. Cantor, David Goldstein, John D. Overton, Kyoko Watanabe, Amanda O'Neill, Yunfeng Huang, Jonathan Marchini, Xiaodong Bai, Krzysztof Kiryluk, Slavé Petrovski, Sean O'Keeffe, Erika Kvikstad, Anthony Marcketta, Margaret M. Parker, Giorgio Sirugo, Julie E. Horowitz, Emily Wong, Olympe Chazara, Paul Nioi, Manuel A. R. Ferreira, Sándor Szalma, Joseph B. Leader, Shareef Khalid, William J Salerno, Deepika Sharma, Tomoko Nakanishi, Marcus B. Jones, Gundula Povysil, Marylyn D. Ritchie, Colm O'Dushlaine, Xiuwen Zheng, Daniel J. Rader, Suganthi Balasubramanian, Hyun Min Kang, Yi-Pin Lai, Alexander H. Li, Xing Chen, and Erola Pairo-Castineira

Subjects
Coronavirus disease 2019 (COVID-19), business.industry, Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), Genome-wide association study, medicine.disease_cause, Biobank, Article, Genetic association analysis, Immunology, Multiple comparisons problem, Medicine, business, Gene, Coronavirus
Abstract

Severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) causes coronavirus disease-19 (COVID-19), a respiratory illness that can result in hospitalization or death. We investigated associations between rare genetic variants and seven COVID-19 outcomes in 543,213 individuals, including 8,248 with COVID-19. After accounting for multiple testing, we did not identify any clear associations with rare variants either exome-wide or when specifically focusing on (i) 14 interferon pathway genes in which rare deleterious variants have been reported in severe COVID-19 patients; (ii) 167 genes located in COVID-19 GWAS risk loci; or (iii) 32 additional genes of immunologic relevance and/or therapeutic potential. Our analyses indicate there are no significant associations with rare protein-coding variants with detectable effect sizes at our current sample sizes. Analyses will be updated as additional data become available, with results publicly browsable athttps://rgc-covid19.regeneron.com.

Published
2020
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26. Validating gene-phenotype associations using relationships in the UMLS

Author

Lukas Habegger, Suganthi Balasubramanian, Michael N. Cantor, Deepika Sharma, Jeffrey Staples, Ashish Yadav, Claudia Gonzaga-Jauregui, Jeffrey G. Reid, Shareef Khalid, and Andrew Blumenfeld

Subjects
Set (abstract data type), education.field_of_study, Computer science, Unified Medical Language System, Population, Cohort, Computational biology, Disease, Health records, education, Gene, Phenotype, Exome sequencing
Abstract

ObjectiveLarge scale next-generation sequencing of population cohorts paired with patients’ electronic health records (EHR) provides an excellent resource for the study of gene-disease associations. To validate those associations, researchers often consult databases that identify relationships between genes of interest and relevant disease phenotypes, which we refer to as simply “phenotypes”. However, most of these databases contain phenotypes that are not suited for automated analysis of EHR data, which often captured these phenotypes in the form of International Classification of Diseases (ICD) codes. There is a need for a resource that comprehensively provides gene-phenotype mappings in a format that can be used to evaluate phenotypes from EHR.MethodsWe built a directed graph database of genes, medical concepts and ICD codes based on a subset of the National Library of Medicine’s Unified Medical Language System (UMLS) and other resources. To obtain associations between genes and ICD codes, we traversed the defined relationships from gene, variant and disease concepts to ICD codes, resulting in a set of mappings that link specific genes and variants to these ICD codes.ResultsOur method created 249,764 mappings between genes and ICD codes, including 27,226 “disease” phenotypes and 222,538 “symptom” phenotypes, and provided mappings for 4,456 unique genes. Paths were validated by manual review of a diverse sample of paths. In a cohort of 92,455 samples, we used these mappings to validate gene-phenotype associations in 32,786 samples where a person had a potentially disease-causing genetic mutation and at least one corresponding diagnosis in their EHR.ConclusionThe concepts and relationships in the UMLS can be used to generate gene-ICD phenotype mappings that are not explicit in the source vocabularies. We were able use these mappings to validate gene-disease associations in a large cohort of sequenced exomes paired with EHR.

Published
2020
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27. Polygenic Risk of Psychiatric Disorders Exhibits Cross-trait Associations in Electronic Health Record Data From European Ancestry Individuals

Author

Rachel L. Kember, Alison K. Merikangas, Shefali S. Verma, Anurag Verma, Renae Judy, Scott M. Damrauer, Marylyn D. Ritchie, Daniel J. Rader, Maja Bućan, Goncalo Abecasis, Aris Baras, Michael Cantor, Giovanni Coppola, Aris Economides, Luca Lotta, John D. Overton, Jeffrey G. Reid, Alan Shuldiner, Christina Beechert, Caitlin Forsythe, Erin D. Fuller, Zhenhua Gu, Michael Lattari, Alexander Lopez, Thomas D. Schleicher, Maria Sotiropoulos Padilla, Karina Toledo, Louis Widom, Sarah E. Wolf, Manasi Pradhan, Kia Manoochehri, Ricardo H. Ulloa, Xiaodong Bai, Suganthi Balasubramanian, Leland Barnard, Andrew Blumenfeld, Gisu Eom, Lukas Habegger, Young Hahn, Alicia Hawes, Shareef Khalid, Evan K. Maxwell, William Salerno, Jeffrey C. Staples, Ashish Yadav, Marcus B. Jones, and Lyndon J. Mitnaul

Subjects
0301 basic medicine, medicine.medical_specialty, Multifactorial Inheritance, Bipolar Disorder, Disease, Article, 03 medical and health sciences, 0302 clinical medicine, medicine, Electronic Health Records, Humans, Genetic Predisposition to Disease, Bipolar disorder, Psychiatry, Biological Psychiatry, Depressive Disorder, Major, business.industry, Odds ratio, medicine.disease, Biobank, Genetic architecture, 030104 developmental biology, Phenotype, Schizophrenia, Anorexia nervosa (differential diagnoses), Major depressive disorder, business, 030217 neurology & neurosurgery, Genome-Wide Association Study
Abstract

Background Prediction of disease risk is a key component of precision medicine. Common traits such as psychiatric disorders have a complex polygenic architecture, making the identification of a single risk predictor difficult. Polygenic risk scores (PRSs) denoting the sum of an individual’s genetic liability for a disorder are a promising biomarker for psychiatric disorders, but they require evaluation in a clinical setting. Methods We developed PRSs for 6 psychiatric disorders (schizophrenia, bipolar disorder, major depressive disorder, cross disorder, attention-deficit/hyperactivity disorder, and anorexia nervosa) and 17 nonpsychiatric traits in more than 10,000 individuals from the Penn Medicine Biobank with accompanying electronic health records. We performed phenome-wide association analyses to test their association across disease categories. Results Four of the 6 psychiatric PRSs were associated with their primary phenotypes (odds ratios from 1.2 to 1.6). Cross-trait associations were identified both within the psychiatric domain and across trait domains. PRSs for coronary artery disease and years of education were significantly associated with psychiatric disorders, largely driven by an association with tobacco use disorder. Conclusions We demonstrated that the genetic architecture of electronic health record–derived psychiatric diagnoses is similar to ascertained research cohorts from large consortia. Psychiatric PRSs are moderately associated with psychiatric diagnoses but are not yet clinically predictive in naive patients. Cross-trait associations for these PRSs suggest a broader effect of genetic liability beyond traditional diagnostic boundaries. As identification of genetic markers increases, including PRSs alongside other clinical risk factors may enhance prediction of psychiatric disorders and associated conditions in clinical registries.

Published
2020

28. Whole exome sequencing and characterization of coding variation in 49,960 individuals in the UK Biobank

Author

Ida Surakka, Alexander Lopez, Lukas Habegger, Shareef Khalid, William J Salerno, Andrew Blumenfeld, Bin Ye, Jeffrey G. Reid, Ashutosh K. Pandey, Alicia Hawes, John D. Overton, Giovanni Coppola, Jonathan Marchini, Wendy K. Chung, David J. Carey, David H. Ledbetter, Kristian Hveem, Aris N. Economides, Cristopher V. Van Hout, Kavita Praveen, Cristen J. Willer, Joshua D. Backman, Anthony Marcketta, Ioanna Tachmazidou, Marcus B. Jones, O’Dushlaine Colm, John Penn, Joseph B. Leader, Leland Barnard, Daren Liu, George D. Yancopoulos, Michael N. Cantor, Suganthi Balasubramanian, Laura M. Yerges-Armstrong, Alan R. Shuldiner, Claudia Gonzaga-Jauregui, John C. Whittaker, Nilanjana Banerjee, Aris Baras, Gonçalo R. Abecasis, Claudia Schurmann, Robert A. Scott, Evan Maxwell, Matthew R. Nelson, Jeffrey Staples, Ashish Yadav, Joshua D. Hoffman, Lon R. Cardon, and Alexander H. Li

Subjects
education.field_of_study, Genotype, Population, Disease, Computational biology, Biology, education, Exome, Gene, Biobank, Exome sequencing, Loss function
Abstract

SUMMARYThe UK Biobank is a prospective study of 502,543 individuals, combining extensive phenotypic and genotypic data with streamlined access for researchers around the world. Here we describe the first tranche of large-scale exome sequence data for 49,960 study participants, revealing approximately 4 million coding variants (of which ~98.4% have frequency < 1%). The data includes 231,631 predicted loss of function variants, a >10-fold increase compared to imputed sequence for the same participants. Nearly all genes (>97%) had ≥1 predicted loss of function carrier, and most genes (>69%) had ≥10 loss of function carriers. We illustrate the power of characterizing loss of function variation in this large population through association analyses across 1,741 phenotypes. In addition to replicating a range of established associations, we discover novel loss of function variants with large effects on disease traits, including PIEZO1 on varicose veins, COL6A1 on corneal resistance, MEPE on bone density, and IQGAP2 and GMPR on blood cell traits. We further demonstrate the value of exome sequencing by surveying the prevalence of pathogenic variants of clinical significance in this population, finding that 2% of the population has a medically actionable variant. Additionally, we leverage the phenotypic data to characterize the relationship between rare BRCA1 and BRCA2 pathogenic variants and cancer risk. Exomes from the first 49,960 participants are now made accessible to the scientific community and highlight the promise offered by genomic sequencing in large-scale population-based studies.

Published
2019
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29. ATLANTIS - Attractor Landscape Analysis Toolbox for Cell Fate Discovery and Reprogramming

Author

Osama Shiraz Shah, Hira Anees Awan, Fizza Fatima, Amir Faisal, Muhammad Furqan, Safee Ullah Chaudhary, Bibi Amina, Maria Ahmed, Muhammad Faizyab Ali Chaudhary, Shareef Khalid, Zainab Arshad, and Hadia Hameed

Subjects
0301 basic medicine, Computer science, In silico, Science, Cell, Computational biology, Cell fate determination, Article, 03 medical and health sciences, 0302 clinical medicine, Attractor, medicine, Humans, Cell Lineage, Computer Simulation, Gene Regulatory Networks, Multidisciplinary, Models, Genetic, Cell Differentiation, Complex network, Cellular Reprogramming, HCT116 Cells, Toolbox, 030104 developmental biology, medicine.anatomical_structure, 030220 oncology & carcinogenesis, Medicine, Reprogramming, Biological network, Software, Signal Transduction
Abstract

Boolean modelling of biological networks is a well-established technique for abstracting dynamical biomolecular regulation in cells. Specifically, decoding linkages between salient regulatory network states and corresponding cell fate outcomes can help uncover pathological foundations of diseases such as cancer. Attractor landscape analysis is one such methodology which converts complex network behavior into a landscape of network states wherein each state is represented by propensity of its occurrence. Towards undertaking attractor landscape analysis of Boolean networks, we propose an Attractor Landscape Analysis Toolbox (ATLANTIS) for cell fate discovery, from biomolecular networks, and reprogramming upon network perturbation. ATLANTIS can be employed to perform both deterministic and probabilistic analyses. It has been validated by successfully reconstructing attractor landscapes from several published case studies followed by reprogramming of cell fates upon therapeutic treatment of network. Additionally, the biomolecular network of HCT-116 colorectal cancer cell line has been screened for therapeutic evaluation of drug-targets. Our results show agreement between therapeutic efficacies reported by ATLANTIS and the published literature. These case studies sufficiently highlight the in silico cell fate prediction and therapeutic screening potential of the toolbox. Lastly, ATLANTIS can also help guide single or combinatorial therapy responses towards reprogramming biomolecular networks to recover cell fates.

Published
2017

32. Fat Embolism Syndrome Due to Fracture Right Femur: A Case Report.

Author

Shareef, Khalid Al, Asadullah, Muhammad, and Helal, Muhammad

Subjects
*FAT embolism, *BONE fractures, *PELVIS, *FEMUR, *BONES
Abstract

Fat embolism syndrome (FES) is usually associated with fractures of long bones and pelvis. Symptoms usually occurs hours to days after injury. We present a case with fat embolism syndrome due to fracture femur. Prompt supportive treatment of patient's respiratory system and additional pharmaceutical treatment provides the positive outcome. There is no specific therapy for fat embolism syndrome. Prevention, early diagnosis, and adequate symptomatic treatment are very important. The incidence of fat embolism syndrome is reduced markedly in last decades due to early stabilization and surgical correction of fractures of long bones. Key words: Fat embolism syndrome, Trauma, Femur fracture. [ABSTRACT FROM AUTHOR]

Published
2017
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