Gemma Cadby

ORCID: 0000-0001-7317-6531
Publications
Citations
Views
---
Saved
---
About
Contact & Profiles
Research Areas
  • Genetic Associations and Epidemiology
  • Cutaneous Melanoma Detection and Management
  • Genetic Mapping and Diversity in Plants and Animals
  • Nutrition, Genetics, and Disease
  • Obstructive Sleep Apnea Research
  • Genetic and phenotypic traits in livestock
  • Digital Radiography and Breast Imaging
  • AI in cancer detection
  • Genetic factors in colorectal cancer
  • Global Cancer Incidence and Screening
  • Autism Spectrum Disorder Research
  • Occupational and environmental lung diseases
  • Adipose Tissue and Metabolism
  • Birth, Development, and Health
  • Genetics and Physical Performance
  • Chronic Obstructive Pulmonary Disease (COPD) Research
  • Genetics and Neurodevelopmental Disorders
  • Metabolomics and Mass Spectrometry Studies
  • RNA modifications and cancer
  • Pregnancy and preeclampsia studies
  • Neuroscience of respiration and sleep
  • Epigenetics and DNA Methylation
  • melanin and skin pigmentation
  • Skin Protection and Aging
  • Adipokines, Inflammation, and Metabolic Diseases

The University of Western Australia
2015-2024

Government of Western Australia Department of Health
2023-2024

Curtin University
2017-2019

International Society for Developmental Origins of Health and Disease
2009-2019

Ontario Institute for Cancer Research
2011-2017

Wellcome Sanger Institute
2016

Sir Charles Gairdner Hospital
2015

Lunenfeld-Tanenbaum Research Institute
2011-2014

Sonja I. Berndt Stefan Gustafsson Reedik Mägi Andrea Ganna Eleanor Wheeler and 95 more Mary F. Feitosa Anne E. Justice Keri L. Monda Damien C. Croteau‐Chonka Felix R. Day Tõnu Esko Tove Fall Teresa Ferreira Davide Gentilini Anne Jackson Jian’an Luan Joshua C. Randall Sailaja Vedantam Cristen J. Willer Thomas W. Winkler Andrew R. Wood Tsegaselassie Workalemahu Yi‐Juan Hu Sang Lee Liming Liang Dan-Yu Lin Josine L. Min Benjamin M. Neale Guðmar Þorleifsson Jian Yang Eva Albrecht Najaf Amin Jennifer L. Bragg‐Gresham Gemma Cadby Martin den Heijer Niina Eklund Krista Fischer Anuj Goel Jouke‐Jan Hottenga Jennifer E. Huffman Ivonne Jarick Åsa Johansson Toby Johnson Stavroula Kanoni Marcus E. Kleber Inke R. König Kati Kristiansson Zoltán Kutalik Claudia Lamina Cécile Lecœur Li Guo Massimo Mangino Wendy L. McArdle Carolina Medina‐Gómez Martina Müller‐Nurasyid Julius S. Ngwa Ilja M. Nolte Lavinia Paternoster Sonali Pechlivanis Markus Perola Marjolein J. Peters Michael Preuß Lynda M. Rose Jianxin Shi Dmitry Shungin Albert V. Smith Rona J. Strawbridge Ida Surakka Alexander Teumer Mieke D. Trip Jonathan P. Tyrer Jana V. van Vliet‐Ostaptchouk Liesbeth Vandenput Lindsay L. Waite Wei Zhao Devin Absher Folkert W. Asselbergs Mustafa Atalay Antony Attwood Anthony J. Balmforth Hanneke Basart John Beilby Lori L. Bonnycastle Paolo Brambilla Marcel Bruinenberg Harry Campbell Daniel I. Chasman Peter S. Chines Francis S. Collins John Connell William Cookson Ulf dé Fairé Femmie de Vegt Mariano Dei Maria Dimitriou Sarah Edkins Karol Estrada David M. Evans Martin Farrall Maurizio Ferrario

10.1038/ng.2606 article EN Nature Genetics 2013-04-07
María Soler Artigas Daan W. Loth Louise V. Wain Sina A. Gharib Ma’en Obeidat and 95 more Wenbo Tang Guangju Zhai Wei Zhao Albert V. Smith Jennifer E. Huffman Eva Albrecht Catherine Jackson David M. Evans Gemma Cadby Myriam Fornage Ani Manichaikul Lorna M. Lopez Toby Johnson Melinda C. Aldrich Thor Aspelund Inês Barroso Harry Campbell Patricia A. Cassano David Couper Guðný Eiríksdóttir Nora Franceschini Melissa García Christian Gieger Gauti Kjartan Gíslason Ivica Grković Christopher J. Hammond Dana B. Hancock Tamara B. Harris Adaikalavan Ramasamy Susan R. Heckbert Markku Heliövaara Georg Homuth Pirro G. Hysi Anthony James Stipan Janković Bonnie R. Joubert Stefan Karrasch Norman Klopp Beate Koch Stephen B. Kritchevsky Lenore J. Launer Yongmei Liu Laura R. Loehr Kurt Lohman Ruth J. F. Loos Thomas Lumley Khalid A Al Balushi Wei Ang R. Graham Barr John Beilby John Blakey Mladen Boban Vesna Boraska Perica Jonas Brisman John Britton Guy Brusselle Cyrus Cooper Ivan Curjuric Santosh Dahgam Ian J. Deary Shah Ebrahim Mark Eijgelsheim Clyde Francks Darya Gaysina Raquel Granell Xiangjun Gu John Hankinson Rebecca Hardy Sarah E. Harris John Henderson Amanda P. Henry Aroon D. Hingorani Albert Hofman Patrick G. Holt Jennie Hui Michael Hunter Medea Imboden Anthony James Shona M. Kerr Ivana Kolčić Florian Kronenberg Jason Z. Liu Jonathan Marchini Tricia M. McKeever Andrew D. Morris Anna-Carin Olin David J. Porteous Dirkje S. Postma Stephen S. Rich Susan M. Ring Fernando Rivadeneira Thierry Rochat Avan Aihie Sayer Ian Sayers Peter D. Sly

10.1038/ng.941 article EN Nature Genetics 2011-09-25
Matthew R. Robinson Aaron Kleinman Mariaelisa Graff Anna A. E. Vinkhuyzen David Couper and 95 more Michael B. Miller Wouter J. Peyrot Abdel Abdellaoui Brendan P. Zietsch Ilja M. Nolte Jana V. van Vliet‐Ostaptchouk Harold Snieder Behrooz Z. Alizadeh H. Marike Boezen Lude Franke Pim van der Harst Gerjan Navis Marianne G. Rots Harold Snieder Morris A. Swertz Bruce H. R. Wolffenbuttel Cisca Wijmenga Gonçalo R. Abecasis Devin Absher Helene Alavere Eva Albrecht Hana Lango Allen Peter Almgren Najaf Amin Philippe Amouyel Denise Anderson Alice M. Arnold Dominique Arveiler Thor Aspelund Folkert W. Asselbergs Themistocles L. Assimes Mustafa Atalay Antony Attwood Larry D. Atwood Stephan J. L. Bakker Beverley Balkau Anthony J. Balmforth Cristina Barlassina Inês Barroso Hanneke Basart Sabrina Bauer J. Beckmann John Beilby Amanda J. Bennett Yoav Ben‐Shlomo Richard N. Bergman Sven Bergmann Sonja I. Berndt Reiner Biffar Anna Maria Di Blasio Bernhard O. Boehm Michael Boehnke Heiner Boeing Eric Boerwinkle Jennifer L. Bolton Amélie Bonnefond Lori L. Bonnycastle Dorret I. Boomsma Ingrid B. Borecki Stefan R. Bornstein Nabila Bouatia‐Naji Gabrielle Boucher Jennifer L. Bragg‐Gresham Paolo Brambilla Marcel Bruinenberg Thomas A. Buchanan Christa Buechler Gemma Cadby Harry Campbell Mark J. Caulfield Christine Cavalcanti-Proença G Cesana Stephen J. Chanock Daniel I. Chasman Yii‐Der Ida Chen Peter S. Chines Deborah J. Clegg Lachlan Coin Francis S. Collins John Connell William Cookson Matthew N. Cooper Damien C. Croteau‐Chonka L. Adrienne Cupples Daniele Cusi Felix R. Day Ian N.M. Day George Dedoussis Mariano Dei Panos Deloukas Emmanouil T. Dermitzakis Antigone S. Dimas Maria Dimitriou Anna Dixon Marcus Dörr

10.1038/s41562-016-0016 article EN Nature Human Behaviour 2017-01-09

Rationale Lung function measures are heritable traits that predict population morbidity and mortality essential for the diagnosis of chronic obstructive pulmonary disease (COPD). Variations in many genes have been reported to affect these traits, but attempts at replication provided conflicting results. Recently, we undertook a meta-analysis Genome Wide Association Study (GWAS) results lung 20,288 individuals from general (the SpiroMeta consortium). Objectives To comprehensively analyse...

10.1371/journal.pone.0019382 article EN cc-by PLoS ONE 2011-05-20

Genomic loci are associated with FEV1 or the ratio of to FVC in population samples, but their association chronic obstructive pulmonary disease (COPD) has not yet been proven, nor have combined effects on lung function and COPD studied.To test variants at five (TNS1, GSTCD, HTR4, AGER, THSD4) evaluate joint these single-nucleotide polymorphisms (SNPs), previously reported locus near HHIP.By sampling from 12 population-based studies (n = 31,422), we obtained genotype data 3,284 case subjects...

10.1164/rccm.201102-0192oc article EN American Journal of Respiratory and Critical Care Medicine 2011-06-17

Obesity and related metabolic diseases show clear sex-related differences. The growing burden of these calls for better understanding the age- consequences. High-throughput lipidomic analyses population-based cohorts offer an opportunity to identify disease-risk–associated biomarkers improve our lipid metabolism biology at a population level. Here, we comprehensively examined relationship between classes/subclasses molecular species with age, sex, body mass index (BMI). Furthermore,...

10.1371/journal.pbio.3000870 article EN cc-by PLoS Biology 2020-09-28
Jeannette Simino Gang Shi Joshua C. Bis Daniel I. Chasman Georg Ehret and 95 more Xiangjun Gu Xiuqing Guo Shih-Jen Hwang Eric J.G. Sijbrands Albert V. Smith Germaine C. Verwoert Jennifer L. Bragg‐Gresham Gemma Cadby Peng Chen Ching‐Yu Cheng Tanguy Corre Rudolf A. de Boer Anuj Goel Toby Johnson Chiea Chuen Khor Carla Lluís-Ganella Jian’an Luan Leo‐Pekka Lyytikäinen Ilja M. Nolte Xueling Sim Siim Sõber Peter J. van der Most Niek Verweij Jing Hua Zhao Najaf Amin Eric Boerwinkle Claude Bouchard Abbas Dehghan Guðný Eiríksdóttir Roberto Elosúa Oscar H. Franco Christian Gieger Tamara B. Harris Serge Herçberg Albert Hofman Anthony James Andrew D. Johnson Mika Kähönen Kay‐Tee Khaw Zoltán Kutalik Martin G. Larson Lenore J. Launer Li Guo Jianjun Liu Kiang Liu Alanna C. Morrison Gerjan Navis Rick Twee‐Hee Ong George J. Papanicolau Brenda W.J.H. Penninx Bruce M. Psaty Leslie J. Raffel Olli T. Raitakari Kenneth Rice Fernando Rivadeneira Lynda M. Rose Serena Sanna Robert A. Scott David S. Siscovick Ronald P. Stolk André G. Uitterlinden Dhananjay Vaidya Melanie M. van der Klauw Ramachandran S. Vasan Eranga N. Vithana Uwe Völker Henry Völzke Hugh Watkins Terri L. Young Tin Aung Murielle Bochud Martin Farrall Catharina A. Hartman Maris Laan Edward G. Lakatta Terho Lehtimäki Ruth J. F. Loos Gavin Lucas Pierre Meneton Lyle J. Palmer Rainer Rettig Harold Snieder E. Shyong Tai Yik-Ying Teo Pim van der Harst Nicholas J. Wareham Cisca Wijmenga Tien Yin Wong Myriam Fornage Vilmundur Guðnason Daniel Levy Walter Palmas Paul M. Ridker Jerome I. Rotter Cornelia M. van Duijn

10.1016/j.ajhg.2014.05.010 article EN publisher-specific-oa The American Journal of Human Genetics 2014-06-19

Obesity is a risk factor for type 2 diabetes and cardiovascular disease. However, substantial proportion of patients with these conditions have seemingly normal body mass index (BMI). Conversely, not all obese individuals present metabolic disorders giving rise to the concept "metabolically healthy obese". We use lipidomic-based models BMI calculate score (mBMI) as measure dysregulation associated obesity. Using difference between mBMI (mBMIΔ), we identify similar but differing in their...

10.1038/s41467-023-41963-7 article EN cc-by Nature Communications 2023-10-07

Autism omics research has historically been reductionist and diagnosis centric, with little attention paid to common co-occurring conditions (for example, sleep feeding disorders) the complex interplay between molecular profiles neurodevelopment, genetics, environmental factors health. Here we explored plasma lipidome (783 lipid species) in 765 children (485 diagnosed autism spectrum disorder (ASD)) within Australian Biobank. We identified lipids associated ASD (n = 8), disturbances 20)...

10.1038/s41591-023-02271-1 article EN cc-by Nature Medicine 2023-04-01

Abstract Objective To estimate the prevalence of long COVID among Western Australian adults, a highly vaccinated population whose first major exposure to severe acute respiratory syndrome coronavirus 2 (SARS‐CoV‐2) was during 2022 Omicron wave, and assess its impact on health service use return work or study. Study design Follow‐up survey (completed online by telephone). Setting, participants Adult Australians surveyed 90 days after positive SARS‐CoV‐2 test results (polymerase chain reaction...

10.5694/mja2.52256 article EN cc-by The Medical Journal of Australia 2024-03-20

Accurate risk stratification is vital for primary prevention of cardiovascular disease (CVD). However, traditional tools such as the Framingham Risk Score (FRS) may underperform within diverse intermediate-risk group, which includes individuals requiring distinct management strategies. This study aimed to develop a lipidomic-enhanced score (LRS), specifically targeting prediction and reclassification intermediate benchmarked against FRS. The LRS was developed via machine learning workflow...

10.1016/j.jacc.2024.04.060 article EN cc-by-nc-nd Journal of the American College of Cardiology 2024-07-01
Janina S. Ried Janina Jeff M. Audrey Y. Chu Jennifer L. Bragg‐Gresham Jenny van Dongen and 95 more Jennifer E. Huffman Tarunveer S. Ahluwalia Gemma Cadby Niina Eklund Joel Eriksson Tõnu Esko Mary F. Feitosa Anuj Goel Mathias Gorski Caroline Hayward Nancy L. Heard‐Costa Anne Jackson Eero Jokinen Stavroula Kanoni Kati Kristiansson Zoltán Kutalik Jari Lahti Jian’an Luan Reedik Mägi Anubha Mahajan Massimo Mangino Carolina Medina‐Gómez Keri L. Monda Ilja M. Nolte Louis Pérusse Inga Prokopenko Lu Qi Lynda M. Rose Erika Salvi Megan Therese Smith Harold Snieder Alena Stančáková Yan V. Sun Ioanna Tachmazidou Alexander Teumer Guðmar Þorleifsson Pim van der Harst Ryan W. Walker Sophie R. Wang Sarah H. Wild Sara M. Willems Andrew Wong Weihua Zhang Eva Albrecht Alexessander Couto Alves Stephan J. L. Bakker Cristina Barlassina Traci M. Bartz John Beilby Claire Bellis Richard N. Bergman Sven Bergmann John Blangero Matthias Blüher Eric Boerwinkle Lori L. Bonnycastle Stefan R. Bornstein Marcel Bruinenberg Harry Campbell Yii-Der Ida Chen Charleston W. K. Chiang Peter S. Chines Francis S. Collins Francesco Cucca L. Adrienne Cupples Francesca D’Avila Eco J. C. de Geus George Dedoussis Maria Dimitriou Angela Döring Johan G. Eriksson Aliki-Eleni Farmaki Martin Farrall Teresa Ferreira Krista Fischer Nita G. Forouhi Nele Friedrich Anette P. Gjesing Nicola Glorioso Mariaelisa Graff Harald Grallert Niels Grarup Jürgen Gräßler Jagvir Grewal Anders Hamsten Marie Neergaard Harder Catharina A. Hartman Maija Hassinen Nicholas D. Hastie Andrew T. Hattersley Aki S. Havulinna Markku Heliövaara Hans L. Hillege Albert Hofman Oddgeir L. Holmen

Abstract Large consortia have revealed hundreds of genetic loci associated with anthropometric traits, one trait at a time. We examined whether variants affect body shape as composite phenotype that is represented by combination traits. developed an approach calculates averaged PCs (AvPCs) representing derived from six traits (body mass index, height, weight, waist and hip circumference, waist-to-hip ratio). The first four AvPCs explain >99% the variability, are heritable, associate...

10.1038/ncomms13357 article EN cc-by Nature Communications 2016-11-23

Abstract Background Low levels of serum adiponectin have been linked to central obesity, insulin resistance, metabolic syndrome, and type 2 diabetes. Variants in ADIPOQ , the gene encoding adiponectin, shown influence concentration, along with variants receptors ( ADIPOR1 ADIPOR2 ) implicated syndrome This study aimed comprehensively investigate association common ADIPOQ, resistance syndromes a large cohort European-Australian individuals. Methods Sixty-four tagging single nucleotide...

10.1186/1471-2350-14-15 article EN cc-by BMC Medical Genetics 2013-01-25

Asbestos exposure is the main risk factor for malignant pleural mesothelioma (MPM), a rare aggressive tumor. Nevertheless, only 5–17% of those exposed to asbestos develop MPM, suggesting involvement other environmental and genetic factors. To identify factors that may contribute development we conducted genome-wide association study (GWAS; 370,000 genotyped SNPs, 5 million imputed SNPs) in Italy, among 407 MPM cases 389 controls with complete history exposure. A replication was also...

10.1371/journal.pone.0061253 article EN cc-by PLoS ONE 2013-04-23

There is now substantial evidence that autistic-like traits in the general population lie on a continuum, with clinical autism spectrum disorders (ASD) representing extreme end of this distribution. In study, we sought to evaluate five independently identified genetic associations ASD population. study cohort, phenotype and genomewide association genotype data were obtained from Western Australian Pregnancy Cohort (Raine) Study. The outcome measure used was Autism Spectrum Quotient (AQ),...

10.1097/ypg.0000000000000052 article EN Psychiatric Genetics 2014-10-11

CVD is the leading cause of death worldwide, and genetic investigations into human lipidome may provide insight risk. The aim this study was to estimate heritability circulating lipid species their correlation with traits. Targeted lipidomic profiling performed on 4,492 participants from Busselton Family Heart Study quantify major fatty acids 596 33 classes. We estimated narrow-sense heritabilities species/classes correlations eight traits: BMI, HDL-C, LDL-C, triglycerides, total...

10.1194/jlr.ra119000594 article EN cc-by Journal of Lipid Research 2020-02-15
Coming Soon ...