Parsa Akbari

ORCID: 0000-0001-9210-4760
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About
Contact & Profiles
Research Areas
  • Genetic Associations and Epidemiology
  • Genomics and Rare Diseases
  • Blood groups and transfusion
  • Platelet Disorders and Treatments
  • Hemoglobinopathies and Related Disorders
  • Asthma and respiratory diseases
  • Metabolism, Diabetes, and Cancer
  • Myeloproliferative Neoplasms: Diagnosis and Treatment
  • BRCA gene mutations in cancer
  • Genetic factors in colorectal cancer
  • Cancer-related gene regulation
  • Neutrophil, Myeloperoxidase and Oxidative Mechanisms
  • Genetic Syndromes and Imprinting
  • Eosinophilic Disorders and Syndromes
  • Genetic and phenotypic traits in livestock
  • Cancer-related molecular mechanisms research
  • Adipokines, Inflammation, and Metabolic Diseases
  • Immune Cell Function and Interaction
  • Lipid metabolism and disorders
  • Cardiovascular Disease and Adiposity
  • Venous Thromboembolism Diagnosis and Management
  • Renal Diseases and Glomerulopathies
  • Antiplatelet Therapy and Cardiovascular Diseases
  • PARP inhibition in cancer therapy
  • Nonmelanoma Skin Cancer Studies

Regeneron (United States)
2021-2025

University of Cambridge
2020-2024

British Heart Foundation
2020-2023

Medical Research Council
2020-2022

Wellcome Sanger Institute
2020-2022

Genomics (United Kingdom)
2020-2022

MRC Biostatistics Unit
2020-2022

National Institute for Health Research
2020-2022

How genes affect human obesity Obesity is linked to many diseases, including diabetes, cancer, and heart disease. There thus great interest in understanding how predispose individuals to, or protect from, obesity. Akbari et al. sequenced more than 600,000 exomes from the United Kingdom, States, Mexico identified 16 rare coding variants (see Perspective by Yeo O'Rahilly). Some of alleles associated with body mass index (BMI) were brain-expressed G protein–coupled receptors. One variant allele...

10.1126/science.abf8683 article EN Science 2021-07-01

Body fat distribution is a major, heritable risk factor for cardiometabolic disease, independent of overall adiposity. Using exome-sequencing in 618,375 individuals (including 160,058 non-Europeans) from the UK, Sweden and Mexico, we identify 16 genes associated with at exome-wide significance. We show 6-fold larger effect fat-distribution rare coding variants compared fine-mapped common alleles, enrichment expressed adipose tissue causal partial lipodystrophies, evidence sex-dimorphism....

10.1038/s41467-022-32398-7 article EN cc-by Nature Communications 2022-08-23
Aimée M. Deaton Margaret M. Parker Lucas D. Ward Alexander O. Flynn-Carroll Lucas BonDurant and 95 more Gregory Hinkle Parsa Akbari Luca A. Lotta Gonçalo R. Abecasis Aris Baras Michael Cantor Giovanni Coppola Aris N. Economides Luca A. Lotta John D. Overton Jeffrey G. Reid Alan R. Shuldiner Katia Karalis Andrew Deubler Katherine Siminovitch Christina Beechert Caitlin Forsythe Erin D. Fuller Zhenhua Gu Michael Lattari Alexander Lopez John D. Overton 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 Mona Nafde Sean O’Keeffe Max Orelus Razvan Panea Tommy Polanco Ayesha Rasool Jeffrey G. Reid William Salerno Jeffrey Staples Michael Cantor Dadong Li Adam E. Locke Niek Verweij Jonas B. Nielsen Jonas Bovijn Tanima De Mary E. Haas Parsa Akbari Olukayode Sosina Marcus B. Jones Jason Mighty Michelle G. LeBlanc Lyndon J. Mitnaul Gonçalo R. Abecasis Aris Baras Michael Cantor Giovanni Coppola Aris N. Economides Luca A. Lotta John D. Overton Jeffrey G. Reid Alan R. Shuldiner Andrew Deubler Katia Karalis 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

Abstract Sequencing of large cohorts offers an unprecedented opportunity to identify rare genetic variants and find novel contributors human disease. We used gene-based collapsing tests genes associated with glucose, HbA1c type 2 diabetes (T2D) diagnosis in 379,066 exome-sequenced participants the UK Biobank. identified associations for GCK, HNF1A PDX1 , which are known be involved Mendelian forms diabetes. Notably, we uncovered GIGYF1 a gene not previously implicated by genetics predicted...

10.1038/s41598-021-99091-5 article EN cc-by Scientific Reports 2021-11-03

Genetic association studies for blood cell traits, which are key indicators of health and immune function, have identified several hundred associations defined a complex polygenic architecture. Polygenic scores (PGSs) traits potential clinical utility in disease risk prediction prevention, but designing PGS remains challenging the optimal methods unclear. To address this, we evaluated relative performance 6 to develop 26 including standard method pruning thresholding (P + T) 5 learning...

10.1016/j.xgen.2021.100086 article EN cc-by Cell Genomics 2022-01-01

Abstract Blood cells contain functionally important intracellular structures, such as granules, critical to immunity and thrombosis. Quantitative variation in these structures has not been subjected previously large-scale genetic analysis. We perform genome-wide association studies of 63 flow-cytometry derived cellular phenotypes—including cell-type specific measures granularity, nucleic acid content reactivity—in 41,515 participants the INTERVAL study. identify 2172 distinct variant-trait...

10.1038/s41467-023-40679-y article EN cc-by Nature Communications 2023-08-18

Higher body mass index (BMI) is a risk factor for thrombosis. Platelets are essential hemostasis but contribute to thrombosis when activated pathologically. We hypothesized that higher BMI leads changes in platelet characteristics, thereby increasing thrombotic risk. The effect of on traits (measured by Sysmex) was explored 33 388 UK blood donors (INTERVAL study). Linear regression showed positively associated with greater plateletcrit (PCT), count (PLT), immature (IPC), and side...

10.1080/09537104.2021.2003317 article EN cc-by Platelets 2022-01-24

The process of platelet production has so far been understood to be a 2-stage process: megakaryocyte maturation from hematopoietic stem cells followed by proplatelet formation, with each phase regulating the peripheral blood count. Proplatelet formation releases into bloodstream beads-on-a-string preplatelets, which undergo fission mature platelets. For first time, we show that preplatelet is third, tightly regulated, critical akin cytokinesis regulates We deficiency in cytokine...

10.1182/blood.2021013113 article EN cc-by-nc-nd Blood 2022-01-20

Abstract Sequencing of large cohorts offers an unprecedented opportunity to identify rare genetic variants and find novel contributors human disease. We used gene-based collapsing tests genes associated with glucose, HbA1c type 2 diabetes (T2D) diagnosis in 363,977 exome-sequenced participants the UK Biobank. identified associations for GCK, HNF1A PDX1 , which are known be involved Mendelian forms diabetes. Notably, we uncovered GIGYF1 a gene not previously implicated by genetics, predicted...

10.1101/2021.01.19.21250105 preprint EN cc-by-nc-nd medRxiv (Cold Spring Harbor Laboratory) 2021-01-25

SUMMARY Thousands of genetic associations with phenotypes blood cells are known, but few relevant to cell function. We performed GWAS 63 flow-cytometry phenotypes, including measures granularity, nucleic acid content, and reactivity, in 39,656 participants the INTERVAL study, identifying 2,172 variant-trait associations. These include mediated by functional cellular structures such as secretory granules, implicated vascular, thrombotic, inflammatory neoplastic diseases. By integrating our...

10.1101/2020.01.30.927483 preprint EN bioRxiv (Cold Spring Harbor Laboratory) 2020-01-31

Abstract Polygenic scores (PGSs) for blood cell traits can be constructed using summary statistics from genome-wide association studies. As the selection of variants and modelling their interactions in PGSs may limited by univariate analysis, therefore, such a conventional method yield sub-optional performance. This study evaluated relative effectiveness four machine learning deep methods, as well method, construction 26 traits, data UK Biobank (n=~400,000) INTERVAL (n=~40,000). Our results...

10.1101/2020.02.17.952788 preprint EN cc-by-nc-nd bioRxiv (Cold Spring Harbor Laboratory) 2020-02-18
Ming‐Huei Chen Laura M. Raffield Abdou Mousas Saori Sakaue Jennifer E. Huffman and 95 more Tao Jiang Parsa Akbari Dragana Vuckovic Erik L. Bao Arden Moscati Xue Zhong Regina Manansala Véronique Laplante Minhui Chen Ken Sin Lo Huijun Qian Caleb A. Lareau Mélissa Beaudoin Masato Akiyama Traci M. Bartz Yoav Ben‐Shlomo Andrew D Beswick Jette Bork‐Jensen Erwin P. Böttinger Jennifer A. Brody Frank J.A. van Rooij Kumaraswamy Naidu Chitrala Kelly Cho Hélène Choquet Adolfo Correa John Danesh Emanuele Di Angelantonio Niki Dimou Jingzhong Ding Paul Elliott Tõnu Esko Michele K. Evans James S. Floyd Linda Broer Niels Grarup Michael H. Guo Andreas Greinacher Jeff Haessler Torben Hansen Joanna M. M. Howson Wei Huang Eric Jorgenson Tim Kacprowski Mika Kähönen Yoichiro Kamatani Masahiro Kanai Savita Karthikeyan Fotios Koskeridis Leslie A. Lange Terho Lehtimäki Markus M. Lerch Allan Linneberg Yongmei Liu Leo-Pekka Lyytikäinen Ani Manichaikul Koichi Matsuda Karen L. Mohlke Nina Mononen Yoshinori Murakami Girish N. Nadkarni Matthias Nauck Kjell Nikus Willem H. Ouwehand Nathan Pankratz Oluf Pedersen Michael Preuß Bruce M. Psaty Olli Raitakari David J. Roberts Stephen S. Rich Blanca Rodríguez Jonathan D. Rosen Jerome I. Rotter Petra Schubert Cassandra N. Spracklen Praveen Surendran Hua Tang Jean‐Claude Tardif Mohsen Ghanbari Uwe Völker Henry Völzke Nicholas A. Watkins Alan B. Zonderman VA Million Veteran Program Peter W.F. Wilson Yun Li Adam S. Butterworth Jean‐François Gauchat Charleston W. K. Chiang Bingshan Li Ruth J. F. Loos William J. Astle Evangelos Evangelou Vijay G. Sankaran Yukinori Okada

SUMMARY Most loci identified by GWAS have been found in populations of European ancestry (EA). In trans-ethnic meta-analyses for 15 hematological traits 746,667 participants, including 184,535 non-EA individuals, we 5,552 trait-variant associations at P <5×10 −9 , 71 novel not EA populations. We also ancestry-specific variants EA, an IL7 missense variant South Asians associated with lymphocyte count vivo and secretion levels vitro . Fine-mapping prioritized annotated as functional,...

10.1101/2020.01.17.910497 preprint EN cc-by-nc-nd bioRxiv (Cold Spring Harbor Laboratory) 2020-01-18
Dragana Vuckovic Erik L. Bao Parsa Akbari Caleb A. Lareau Abdou Mousas and 95 more Tao Jiang Ming‐Huei Chen Laura M. Raffield Manuel Tardáguila Jennifer E. Huffman Scott C. Ritchie Karyn Mégy Hannes Ponstingl Christopher J. Penkett Patrick K. Albers Emilie M. Wigdor Saori Sakaue Arden Moscati Regina Manansala Ken Sin Lo Huijun Qian Masato Akiyama Traci M. Bartz Yoav Ben‐Shlomo Andrew D Beswick Jette Bork‐Jensen Erwin P. Böttinger Jennifer A. Brody Frank J.A. van Rooij Kumaraswamy Naidu Chitrala Kelly Cho Hélène Choquet Adolfo Correa John Danesh Emanuele Di Angelantonio Niki Dimou Jingzhong Ding Paul Elliott Tõnu Esko Michele K. Evans Stephan B. Felix James S. Floyd Linda Broer Niels Grarup Michael H. Guo Andreas Greinacher Jeff Haessler Torben Hansen Joanna M. M. Howson Wei Huang Eric Jorgenson Tim Kacprowski Mika Kähönen Yoichiro Kamatani Masahiro Kanai Savita Karthikeyan Fotios Koskeridis Leslie A. Lange Terho Lehtimäki Allan Linneberg Yongmei Liu Leo‐Pekka Lyytikäinen Ani Manichaikul Koichi Matsuda Karen L. Mohlke Nina Mononen Yoshinori Murakami Girish N. Nadkarni Kjell Nikus Nathan Pankratz Oluf Pedersen Michael Preuß Bruce M. Psaty Olli T. Raitakari Stephen S. Rich Benjamin A.T. Rodriguez Jonathan D. Rosen Jerome I. Rotter Petra Schubert Cassandra N. Spracklen Praveen Surendran Hua Tang Jean‐Claude Tardif Mohsen Ghanbari Uwe Völker Henry Völzke Nicholas A. Watkins Stefan Weiß Na Cai Kousik Kundu Stephen B. Watt Klaudia Walter Alan B. Zonderman Peter W.F. Wilson Yun Li Ruth J. F. Loos Julian C. Knight Michel Georges Oliver Stegle Εvangelos Εvangelou

Summary Blood cells play essential roles in human health, underpinning physiological processes such as immunity, oxygen transport, and clotting, which when perturbed cause a significant health burden. Here we integrate data from UK Biobank large-scale international collaborative effort, including 563,946 European ancestry participants, discover 5,106 new genetic variants independently associated with 29 blood cell phenotypes covering the full allele frequency spectrum of variation impacting...

10.1101/2020.02.02.20020065 preprint EN cc-by-nc-nd medRxiv (Cold Spring Harbor Laboratory) 2020-02-03

Neutrophils are essential immune cells loaded with cytosolic granules that contain potent antimicrobial and immunostimulatory molecules. Since alterations of neutrophil granule contents associated both immunodeficiency hyperinflammation, identification regulators can aid in understanding neutrophil-driven pathologies. Here we perform a systematic prioritisation genetic variants cytometric side scatter (SSC), proxy for granularity, identified genome wide association study (GWAS) blood...

10.2139/ssrn.4838454 preprint EN 2024-01-01

Few genome-wide association studies (GWAS) analyzing genetic regulation of morphological traits white blood cells have been reported. We carried out a GWAS 12 in 869 individuals from the general population Sardinia, Italy. These traits, included measures cell volume, conductivity and light scatter four white-cell populations (eosinophils, lymphocytes, monocytes, neutrophils). This analysis yielded seven statistically significant signals, which were novel (four novel, PRG2, P2RX3, two CDK6)....

10.1093/hmg/ddac238 article EN Human Molecular Genetics 2022-09-20

Abstract A higher body mass index (BMI) is a recognised risk factor for thrombosis. Platelets are essential haemostasis but also contribute to thrombosis when activated pathologically. We hypothesised that an increase in BMI may lead changes platelet characteristics, thereby contributing increased thrombotic risk. The effect of on traits measured by Sysmex XN-1000 was explored 33388 UK blood donors from the INTERVAL study. Linear regression used observational analyses between and...

10.1101/2021.05.19.21257443 preprint EN cc-by medRxiv (Cold Spring Harbor Laboratory) 2021-05-20

Melanoma is the most common form of skin cancer, and disease image segmentation plays a vital role in automated diagnosis cancer. A primary challenge other object recognition techniques large amount redundant input information which often obfuscates critical features. In context dermatoscopy lesion we show that unsupervised clustering algorithms applied to images can reduce local redundancy result dramatic improvements performance. Our work proposes algorithm combining an simple linear...

10.1109/iscmi53840.2021.9654807 article EN 2021-11-26

In this analysis, we studied the use of Mendelian randomization to identify risk factors coronary artery disease (CAD), a major cause cardiovascular disease. Identifying CAD are critical understanding and managing Our analysis combined results from 28 genetic analyses 12 unique studies. For each variation, obtained variant ID, chromosome, base-pair position, reference alternative alleles estimated effect p-value variation on outcome. We hypothesized that traits which correlated with outcomes...

10.59720/22-106 article EN cc-by-nc-nd 2023-01-01

Images from closed-circuit television (CCTV) cameras are often stored with poor resolution due to technical and data storage limitations, reducing the utility of these images. In this study, we propose that informed design training an enhanced deep residual network (EDSR) can increase CCTV This work is first published application EDSR methodology for increasing image resolution. We utilized a dataset 986 images trained tested generating high-resolution low-resolution dataset. Implementing...

10.59720/21-052 article EN cc-by-nc-nd 2023-01-01
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