Priit Palta

ORCID: 0000-0001-9320-7008
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Research Areas
  • Genetic Associations and Epidemiology
  • Migraine and Headache Studies
  • Genomic variations and chromosomal abnormalities
  • Genomics and Rare Diseases
  • Bioinformatics and Genomic Networks
  • Prenatal Screening and Diagnostics
  • Neuroscience of respiration and sleep
  • Epigenetics and DNA Methylation
  • Fetal and Pediatric Neurological Disorders
  • Molecular Biology Techniques and Applications
  • Endometriosis Research and Treatment
  • Reproductive System and Pregnancy
  • Dementia and Cognitive Impairment Research
  • Cancer-related molecular mechanisms research
  • Genetic Mapping and Diversity in Plants and Animals
  • Cancer, Lipids, and Metabolism
  • Cancer Genomics and Diagnostics
  • RNA modifications and cancer
  • Lipoproteins and Cardiovascular Health
  • BRCA gene mutations in cancer
  • RNA Research and Splicing
  • Cardiovascular Health and Risk Factors
  • Ocular Diseases and Behçet’s Syndrome
  • Nutrition, Genetics, and Disease
  • RNA and protein synthesis mechanisms

University of Tartu
2016-2025

Institute for Molecular Medicine Finland
2016-2025

University of Helsinki
2016-2025

Competence Centre on Health Technologies (Estonia)
2021-2022

Finland University
2014-2022

VA Palo Alto Health Care System
2020

John Wiley & Sons (United Kingdom)
2019

Hudson Institute
2019

Parkwood Institute
2016

Lawson Health Research Institute
2016

Mitja Kurki Juha Karjalainen Priit Palta Timo P. Sipilä Kati Kristiansson and 95 more Kati Donner Mary Pat Reeve Hannele Laivuori Mervi Aavikko Mari Kaunisto Anu Loukola Elisa Lahtela Hannele Mattsson Päivi Laiho Pietro Della Briotta Parolo Arto Lehistö Masahiro Kanai Nina Mars Joel Rämö Tuomo Kiiskinen Henrike Heyne Kumar Veerapen Sina Rüeger Susanna Lemmelä Wei Zhou Sanni Ruotsalainen Kalle Pärn Tero Hiekkalinna Sami Koskelainen Teemu Paajanen Vincent Llorens Javier Gracia‐Tabuenca Harri Siirtola Kadri Reis Abdelrahman G. Elnahas Benjamin B. Sun Christopher N. Foley Katriina Aalto‐Setälä Kaur Alasoo Mikko Arvas Kirsi Auro Shameek Biswas Argyro Bizaki-Vallaskangas Olli Carpén Chia‐Yen Chen Oluwaseun Alexander Dada Zhihao Ding Margaret G. Ehm Kari K. Eklund Martti Färkkilâ Hilary K. Finucane Andrea Ganna Awaisa Ghazal Robert Graham Eric M. Green Antti Hakanen Marco Hautalahti Åsa K. Hedman Mikko Hiltunen Reetta Hinttala Iiris Hovatta Xinli Hu Adriana Huertas‐Vázquez Laura Huilaja Julie Hunkapiller Howard Jacob Jan-Nygaard Jensen Heikki Joensuu Sally John Valtteri Julkunen Marc Jung Juhani Junttila Kai Kaarniranta Mika Kähönen Risto Kajanne Lila Kallio Reetta Kälviäinen Jaakko Kaprio Nurlan Kerimov Johannes Kettunen Elina Kilpeläinen Terhi Kilpi K. Klinger Veli‐Matti Kosma Teijo Kuopio Venla Kurra Triin Laisk Jari A. Laukkanen Nathan Lawless Aoxing Liu Simonne Longerich Reedik Mägi Johanna Mäkelä Antti Mäkitie Anders Mälarstig Graham J. Mann Joseph Maranville Athena Matakidou Tuomo J Meretoja Sahar V. Mozaffari

Abstract Population isolates such as those in Finland benefit genetic research because deleterious alleles are often concentrated on a small number of low-frequency variants (0.1% ≤ minor allele frequency < 5%). These survived the founding bottleneck rather than being distributed over large ultrarare variants. Although this effect is well established Mendelian genetics, its value common disease genetics less explored 1,2 . FinnGen aims to study genome and national health register data...

10.1038/s41586-022-05473-8 article EN cc-by Nature 2023-01-18
Verneri Anttila Brendan Bulik‐Sullivan Hilary K. Finucane Raymond K. Walters José Brás and 95 more Laramie E. Duncan Valentina Escott‐Price Guido J. Falcone Padhraig Gormley Rainer Malik Nikolaos A. Patsopoulos Stephan Ripke Zhi Wei Dongmei Yu Phil H. Lee Patrick Turley Benjamin Grenier‐Boley Vincent Chouraki Yoichiro Kamatani Claudine Berr Luc Letenneur Didier Hannequin Philippe Amouyel Anne Boland Jean‐François Deleuze Emmanuelle Duron Badri N. Vardarajan Christiane Reitz Alison Goate Matthew J. Huentelman M. Ilyas Kamboh Eric B. Larson Ekaterina Rogaeva Peter St George‐Hyslop Hákon Hákonarson Walter A. Kukull Lindsay A. Farrer Lisa L. Barnes Thomas G. Beach F. Yesim Demirci Elizabeth Head Christine M. Hulette Gregory A. Jicha John S.K. Kauwe Jonathan Kaye James B. Leverenz Allan I. Levey Andrew P. Lieberman V. Shane Pankratz Wayne W. Poon Joseph F. Quinn Andrew J. Saykin Lon S. Schneider Amanda Smith Joshua A. Sonnen Robert A. Stern Vivianna M. Van Deerlin Linda J. Van Eldik Denise Harold Giancarlo Russo David C. Rubinsztein Antony Bayer Magda Tsolaki Petroula Proitsi Nick C. Fox Harald Hampel Michael J. Owen Simon Mead Peter Passmore Kevin Morgan Markus M. Nöthen Jonathan M. Schott Martin N. Rossor Michelle K. Lupton Per Hoffmann Johannes Kornhuber Brian Lawlor Andrew McQuillin Ammar Al‐Chalabi Joshua C. Bis Agustı́n Ruiz Merçé Boada Sudha Seshadri Alexa Beiser Kenneth Rice Sven J. van der Lee Philip L. De Jager Daniel H. Geschwind Markus J. Riemenschneider Steffi G. Riedel‐Heller Jerome I. Rotter Gerhard Ransmayr Bradley T. Hyman Carlos Cruchaga Montserrat Alegret Bendik S. Winsvold Priit Palta Kai-How Farh Ester Cuenca-León Nicholas A. Furlotte

Disorders of the brain can exhibit considerable epidemiological comorbidity and often share symptoms, provoking debate about their etiologic overlap. We quantified genetic sharing 25 disorders from genome-wide association studies 265,218 patients 784,643 control participants assessed relationship to 17 phenotypes 1,191,588 individuals. Psychiatric common variant risk, whereas neurological appear more distinct one another psychiatric disorders. also identified significant between a number...

10.1126/science.aap8757 article EN Science 2018-06-21
Robin Walters Sébastien Jacquemont Armand Valsesia Adam J. de Smith Danielle Martinet and 90 more Johanna C. Andersson‐Assarsson Mario Falchi Fei Chen Joris Andrieux Stéphane Lobbens B Delobel Fanny Stutzmann Julia S. El-Sayed Moustafa Jean-Claude Chèvre Cécile Lecœur Vincent Vatin Sonia Bouquillon Jessica L. Buxton Odile Boute Muriel Holder‐Espinasse Jean‐Marie Cuisset M. Lemaître Anne‐Emmanuelle Ambresin Andrea Brioschi Muriel Gaillard Vittorio Giusti Florence Fellmann Alessandra Ferrarini Nouchine Hadjikhani Dominique Campion Audrey Guilmatre Anna Goldenberg Nadège Calmels Jean‐Louis Mandel Cédric Le Caignec A. David Bertrand Isidor Marie‐Pierre Cordier Sophie Dupuis‐Girod Audrey Labalme Damien Sanlaville Mylène Béri‐Dexheimer Philippe Jonveaux Bruno Leheup Katrin Õunap Elena G. Bochukova Elana Henning Julia M. Keogh Richard J. Ellis K D MacDermot Mieke M. van Haelst C. Vincent‐Delorme Ghislaine Plessis Renaud Touraine Anne Philippe Valérie Malan M. Mathieu‐Dramard Jean Chiésa Bettina Blaumeiser R. Frank Kooy Robert Caïazzo Marie Pigeyre Beverley Balkau Robert Sladek Sven Bergmann Vincent Mooser Dawn Waterworth Alexandre Reymond Péter Vollenweider Gérard Waeber Ants Kurg Priit Palta Tõnu Esko Andres Metspalu Mari Nelis Paul Elliott Anna‐Liisa Hartikainen Mark I. McCarthy L. Peltonen Lena Carlsson Peter Jacobson Lars Sjöström Ni Huang Matthew E. Hurles Stephen O’Rahilly I. Sadaf Farooqi Katrin Männik Marjo‐Riitta Järvelin François Pattou Stephen Eyre Andrew J. Walley Lachlan Coin Alexandra I. F. Blakemore Philippe Froguel J. Beckmann

10.1038/nature08727 article EN Nature 2010-02-01

Exome sequencing studies in complex diseases are challenged by the allelic heterogeneity, large number and modest effect sizes of associated variants on disease risk presence numbers neutral variants, even phenotypically relevant genes. Isolated populations with recent bottlenecks offer advantages for studying rare as they have deleterious that present at higher frequencies well a substantial reduction variation. To explore potential Finnish founder population low-frequency (0.5–5%)...

10.1371/journal.pgen.1004494 article EN cc-by PLoS Genetics 2014-07-31
Mitja Kurki Juha Karjalainen Priit Palta Timo P. Sipilä Kati Kristiansson and 95 more Kati Donner Mary Pat Reeve Hannele Laivuori Mervi Aavikko Mari Kaunisto Anu Loukola Elisa Lahtela Hannele Mattsson Päivi Laiho Pietro Della Briotta Parolo Arto Lehistö Masahiro Kanai Nina Mars Joel Rämö Tuomo Kiiskinen Henrike Heyne Kumar Veerapen Sina Rüeger Susanna Lemmelä Wei Zhou Sanni Ruotsalainen Kalle Pärn Tero Hiekkalinna Sami Koskelainen Teemu Paajanen Vincent Llorens Javier Gracia‐Tabuenca Harri Siirtola Kadri Reis Abdelrahman G. Elnahas Katriina Aalto‐Setälä Kaur Alasoo Mikko Arvas Kirsi Auro Shameek Biswas Argyro Bizaki-Vallaskangas Olli Carpén Chia‐Yen Chen Oluwaseun Alexander Dada Zhihao Ding Margaret G. Ehm Kari K. Eklund Martti Färkkilâ Hilary K. Finucane Andrea Ganna Awaisa Ghazal Robert Graham Eric Green Antti Hakanen Marco Hautalahti Åsa K. Hedman Mikko Hiltunen Reetta Hinttala Iiris Hovatta Xinli Hu Adriana Huertas‐Vázquez Laura Huilaja Julie Hunkapiller Howard J. Jacob Jan-Nygaard Jensen Heikki Joensuu Sally John Valtteri Julkunen Marc Jung Juhani Junttila Kai Kaarniranta Mika Kähönen Risto Kajanne Lila Kallio Reetta Kälviäinen Jaakko Kaprio Nurlan Kerimov Johannes Kettunen Elina Kilpeläinen Terhi Kilpi K. Klinger Veli‐Matti Kosma Teijo Kuopio Venla Kurra Triin Laisk Jari A. Laukkanen Nathan Lawless Aoxing Liu Simonne Longerich Reedik Mägi Johanna Mäkelä Antti Mäkitie Anders Mälarstig Arto Mannermaa Joseph Maranville Athena Matakidou Tuomo J Meretoja Sahar V. Mozaffari Mari Niemi Marianna Niemi

ABSTRACT Population isolates such as Finland provide benefits in genetic studies because the allelic spectrum of damaging alleles any gene is often concentrated on a small number low-frequency variants (0.1% ≤ minor allele frequency < 5%), which survived founding bottleneck, opposed to being distributed over much larger ultra--rare variants. While this advantage well-- established Mendelian genetics, its value common disease genetics has been less explored. FinnGen aims study genome and...

10.1101/2022.03.03.22271360 preprint EN cc-by medRxiv (Cold Spring Harbor Laboratory) 2022-03-06
Wei Zhou Masahiro Kanai Kuan-Han Wu Humaira Rasheed Kristin Tsuo and 95 more Jibril Hirbo Ying Wang Arjun Bhattacharya Huiling Zhao Shinichi Namba Ida Surakka Brooke N. Wolford Valeria Lo Faro Esteban A. Lopera-Maya Kristi Läll Marie-Julie Favé Juulia Partanen Sinéad B. Chapman Juha Karjalainen Mitja Kurki Mutaamba Maasha Ben Brumpton Sameer Chavan Tzu‐Ting Chen Michelle Daya Yi Ding Yen‐Chen Anne Feng Lindsay Guare Christopher R. Gignoux Sarah E. Graham Whitney Hornsby Nathan Ingold Said I. Ismail Ruth Johnson Triin Laisk Kuang Lin Jun Lv Iona Y. Millwood Sonia Moreno‐Grau Kisung Nam Priit Palta Anita Pandit Michael Preuß Chadi Saad Shefali Setia-Verma Unnur Þorsteinsdóttir Jasmina Uzunović Anurag Verma Matthew Zawistowski Xue Zhong Nahla Afifi Kawthar Al-Dabhani Asma Al Thani Yuki Bradford Archie Campbell Kristy Crooks Geertruida H. de Bock Scott M. Damrauer Nicholas J. Douville Sarah Finer Lars G. Fritsche Eleni Fthenou Gilberto Gonzalez-Arroyo Chris Griffiths Yu Guo Karen A. Hunt Alexander Ioannidis Nomdo M. Jansonius Takahiro Konuma Ming Ta Michael Lee Arturo Lopez-Pineda Yuta Matsuda Riccardo E. Marioni Babak Moatamed Marco A. Nava-Aguilar Kensuke Numakura Snehal Patil Nicholas Rafaels Anne Richmond Agustin Rojas‐Muñoz Jonathan Shortt Péter Straub Ran Tao Brett Vanderwerff Manvi Vernekar Yogasudha Veturi Kathleen C. Barnes Marike Boezen Zhengming Chen Chia‐Yen Chen Judy H. Cho George Davey Smith Hilary K. Finucane Lude Franke Eric R. Gamazon Andrea Ganna Tom R. Gaunt Tian Ge Hailiang Huang Jennifer E. Huffman

10.1016/j.xgen.2022.100192 article EN Cell Genomics 2022-10-01

Genetic imputation is a cost-efficient way to improve the power and resolution of genome-wide association (GWA) studies. Current publicly accessible reference panels accurately predict genotypes for common variants with minor allele frequency (MAF)≥5% low-frequency (0.5≤MAF<5%) across diverse populations, but rare variation (MAF<0.5%) still rather limited. In current study, we evaluate accuracy achieved from populations population-specific high-coverage (30 ×) whole-genome sequencing (WGS)...

10.1038/ejhg.2017.51 article EN cc-by-nc-sa European Journal of Human Genetics 2017-04-12
Rubina Tabassum Joel Rämö Pietari Ripatti Jukka Koskela Mitja Kurki and 95 more Juha Karjalainen Priit Palta Shabbeer Hassan Javier Núñez-Fontarnau Tuomo Kiiskinen Sanni Söderlund Niina Matikainen Mathias J. Gerl Michał A. Surma Christian Klose Nathan O. Stitziel Hannele Laivuori Aki S. Havulinna Susan K. Service Veikko Salomaa Matti Pirinen Anu Jalanko Jaakko Kaprio Kati Donner Mari Kaunisto Nina Mars Alexander Dada Anastasia Shcherban Andrea Ganna Arto Lehistö Elina Kilpeläinen Georg Brein Awaisa Ghazal Jarmo Harju Kalle Pärn Pietro Della Briotta Parolo Risto Kajanne Susanna Lemmelä Timo P. Sipilä Tuomas Sipilä Ulrike Lyhs Vincent Llorens Teemu Niiranen Kati Kristiansson Lotta Männikkö Manuel González Jiménez Markus Perola Regis Wong Terhi Kilpi Tero Hiekkalinna Elina Järvensivu Essi Kaiharju Hannele Mattsson Markku Laukkanen Päivi Laiho Sini Lähteenmäki Tuuli Sistonen Sirpa Soini Adam Ziemann Anne Lehtonen Apinya Lertratanakul Bob Georgantas Bridget Riley‐Gillis Danjuma Quarless Fedik Rahimov Graham Heap Howard J. Jacob Jeffrey F. Waring J. Wade Davis Nizar Smaoui Relja Popovic Sahar Esmaeeli Jeff Waring Athena Matakidou Ben Challis David A. Close Slavé Petrovski Antti Karlsson Johanna Schleutker Kari Pulkki Petri Virolainen Lila Kallio Graham J. Mann Sami Heikkinen Veli‐Matti Kosma Chia‐Yen Chen Heiko Runz Jiang Liu Paola G. Bronson Sally John Sanni Lahdenperä Susan Eaton Wei Zhou Minna Hendolin Outi Tuovila Raimo Pakkanen Joseph Maranville Keith Usiskin Marla Hochfeld Robert Plenge

Abstract Understanding genetic architecture of plasma lipidome could provide better insights into lipid metabolism and its link to cardiovascular diseases (CVDs). Here, we perform genome-wide association analyses 141 species (n = 2,181 individuals), followed by phenome-wide scans with 25 CVD related phenotypes 511,700 individuals). We identify 35 lipid-species-associated loci (P &lt;5 ×10 −8 ), 10 which associate risk including five new loci- COL5A1 , GLTPD2 SPTLC3 MBOAT7 GALNT16 (false...

10.1038/s41467-019-11954-8 article EN cc-by Nature Communications 2019-09-24

There is currently limited understanding of the genetic aetiology obstructive sleep apnoea (OSA). We aimed to identify loci associated with OSA risk, and test if its comorbidities share a common background. conducted first large-scale genome-wide association study using FinnGen (217 955 individuals) 16 761 patients identified nationwide health registries. estimated 0.08 (95% CI 0.06–0.11) heritability five (p&lt;5.0×10 −8 ): rs4837016 near GAPVD1 (GTPase activating protein VPS9 domains 1),...

10.1183/13993003.03091-2020 article EN European Respiratory Journal 2020-11-26
Ying Wang Shinichi Namba Esteban A. Lopera-Maya Sini Kerminen Kristin Tsuo and 95 more Kristi Läll Masahiro Kanai Wei Zhou Kuan-Han Wu Marie-Julie Favé Laxmi Bhatta Philip Awadalla Ben Brumpton Patrick Deelen Kristian Hveem Valeria Lo Faro Reedik Mägi Yoshinori Murakami Serena Sanna Jordan W. Smoller Jasmina Uzunović Brooke N. Wolford Cristen J. Willer Eric R. Gamazon Nancy J. Cox Ida Surakka Yukinori Okada Alicia R. Martin Jibril Hirbo Wei Zhou Masahiro Kanai Kuan-Han Wu Humaira Rasheed Kristin Tsuo Jibril Hirbo Ying Wang Arjun Bhattacharya Huiling Zhao Shinichi Namba Ida Surakka Brooke N. Wolford Valeria Lo Faro Esteban A. Lopera-Maya Kristi Läll Marie-Julie Favé Sinéad B. Chapman Juha Karjalainen Mitja Kurki Mutaamba Maasha Juulia Partanen Ben Brumpton Sameer Chavan Tzu‐Ting Chen Michelle Daya Yi Ding Yen‐Chen Anne Feng Christopher R. Gignoux Sarah E. Graham Whitney Hornsby Nathan Ingold Ruth Johnson Triin Laisk Kuang Lin Jun Lv Iona Y. Millwood Priit Palta Anita Pandit Michael Preuß Unnur Þorsteinsdóttir Jasmina Uzunović Matthew Zawistowski Xue Zhong Archie Campbell Kristy Crooks Geertruida H. de Bock Nicholas J. Douville Sarah Finer Lars G. Fritsche Chris Griffiths Yu Guo Karen A. Hunt Takahiro Konuma Riccardo E. Marioni Jansonius Nomdo Snehal Patil Nicholas Rafaels Anne Richmond Jonathan Shortt Péter Straub Ran Tao Brett Vanderwerff Kathleen C. Barnes Marike Boezen Zhengming Chen Chia‐Yen Chen Judy H. Cho George Davey Smith Hilary K. Finucane Lude Franke Eric R. Gamazon

Polygenic risk scores (PRSs) have been widely explored in precision medicine. However, few studies thoroughly investigated their best practices global populations across different diseases. We here utilized data from Global Biobank Meta-analysis Initiative (GBMI) to explore methodological considerations and PRS performance 9 biobanks for 14 disease endpoints. Specifically, we constructed PRSs using pruning thresholding (P + T) PRS-continuous shrinkage (CS). For both methods, a European-based...

10.1016/j.xgen.2022.100241 article EN cc-by-nc-nd Cell Genomics 2023-01-01
Nina Mars Elisabeth Widén Sini Kerminen Tuomo J Meretoja Matti Pirinen and 95 more Pietro Della Briotta Parolo Priit Palta Aki Havulinna Amanda Elliott Anastasia Shcherban Andrea Ganna Anu Jalanko Arto Lehisto Elina Kilpeläinen Georg Brein Awaisa Ghazal Hannele Laivuori Henrike Heyne Jarmo Harju Jiwoo Lee Juha Karjalainen Jukka Koskela Kalle Pärn Kati Donner Kristin Tsuo Manuel González Jiménez Mari Kaunisto Mari Niemi Mary Pat Reeve Mervi Aavikko Mitja Kurki Oluwaseun Alexander Dada Pietro Della Briotta Parolo Risto Kajanne Sina Rüeger Susanna Lemmelä Taru Tukiainen Jaakko Tuomilehto Timo P. Sipilä Tuomo Kiiskinen Vincent Llorens Adam Ziemann Anne Lehtonen Apinya Lertratanakul Bob Georgantas Bridget Riley‐Gillis Danjuma Quarless Fedik Rahimov Howard Jacob Jeffrey F. Waring J. Wade Davis Nizar Smaoui Relja Popovic Sahar Esmaeeli Athena Matakidou Ben Challis David A. Close Eleonor Wigmore Slavé Petrovski Chia‐Yen Chen Ellen Tsai Heiko Runz Jimmy Z. Liu Paola G. Bronson Sally John Sanni Lahdenperä Stephanie Loomis Susan Eaton Yunfeng Huang Erika Kvikstad Minal Çalışkan Samir Wadhawan Elmutaz Shaikho Elhaj Mohammed Janet van Adelsberg Joseph Maranville Marla Hochfeld Robert Plenge Shameek Biswas Steven M. Greenberg Andrew S. Peterson David F. Choy Diana Chang Edmond Teng Erich C. Strauss Geoff Kerchner Hao Chen Hubert Chen Jennifer L. Schutzman John A. Michon Julie Hunkapiller Mark I. McCarthy Natalie Bowers Sarah A. Pendergrass Tushar Bhangale David Pulford Dawn Waterworth Diptee Kulkarni Fanli Xu Jo Betts Jorge Esparza Gordillo

Abstract Polygenic risk scores (PRS) for breast cancer have potential to improve prediction, but there is limited information on their utility in various clinical situations. Here we show that among 122,978 women the FinnGen study with 8401 cases, PRS modifies of two high-impact frameshift variants. Similarly, after diagnosis, individuals elevated an developing contralateral cancer, and can considerably assessment female first-degree relatives. In more detail, c.1592delT variant PALB2...

10.1038/s41467-020-19966-5 article EN cc-by Nature Communications 2020-12-14
Padhraig Gormley Mitja Kurki Marjo Hiekkala Kumar Veerapen Paavo Häppölä and 95 more Adele A. Mitchell Dennis Lal Priit Palta Ida Surakka Mari Kaunisto Eija Hämäläinen Salli Vepsäläinen Hannele Havanka Hanna Harno Matti Ilmavirta M. Nissilä Erkki Säkö Marja‐Liisa Sumelahti Jarmo Liukkonen Matti Sillanpää Liisa Metsähonkala Seppo Koskinen Terho Lehtimäki Olli T. Raitakari Minna Männikkö Caroline Ran Andrea Carmine Belin Pekka Jousilahti Verneri Anttila Veikko Salomaa Ville Artto Martti Färkkilâ Heiko Runz Mark J. Daly Benjamin M. Neale Samuli Ripatti Mikko Kallela Maija Wessman Aarno Palotie Michelle Agee Babak Alipanahi Adam Auton Robert K. Bell Katarzyna Bryc Sarah L. Elson Pierre Fontanillas Nicholas A. Furlotte Karen E. Huber Aaron Kleinman Nadia K. Litterman Jennifer C. McCreight Matthew H. McIntyre Joanna L. Mountain Carrie A. M. Northover Steven J. Pitts J. Fah Sathirapongsasuti Olga V. Sazonova Janie F. Shelton Suyash Shringarpure Chao Tian Joyce Y. Tung Vladimir Vacic Catherine H. Wilson Verneri Anttila Ville Artto Andrea Carmine Belin Dorret I. Boomsma Sigrid Børte Daniel I. Chasman Lynn Cherkas Anne Francke Christensen Bru Cormand Ester Cuenca-León George Davey Smith Martin Dichgans Cornelia M. van Duijn Tõnu Esko Ann-Louise Esserlind Michel D. Ferrari Rune R. Frants Tobias Freilinger Nick Furlotte Padhraig Gormley Lyn R. Griffiths Eija Hämäläinen Thomas Hansen Marjo Hiekkala M. Arfan Ikram Andrés Ingason Marjo‐Riitta Järvelin Risto Kajanne Mikko Kallela Jaakko Kaprio Mari Kaunisto Christian Kubisch Mitja Kurki Tobias Kurth Lenore J. Launer Terho Lehtimäki Davor Lessel

10.1016/j.neuron.2018.04.014 article EN publisher-specific-oa Neuron 2018-05-01

Hyperlipidemia is a highly heritable risk factor for coronary artery disease (CAD). While monogenic familial hypercholesterolemia associates with severely increased CAD risk, it remains less clear to what extent high polygenic load of large number LDL (low-density lipoprotein) cholesterol (LDL-C) or triglyceride (TG)-increasing variants risk. We derived scores (PRSs) ≈6M separately LDL-C and TG weights from UK Biobank-based genome-wide association study ≈324K samples. evaluated the impact...

10.1161/circgen.119.002725 article EN cc-by-nc-nd Circulation Genomic and Precision Medicine 2020-04-01
Masahiro Kanai Roy Elzur Wei Zhou Mark J. Daly Hilary K. Finucane and 95 more Wei Zhou Masahiro Kanai Kuan-Han Wu Humaira Rasheed Kristin Tsuo Jibril Hirbo Ying Wang Arjun Bhattacharya Huiling Zhao Shinichi Namba Ida Surakka Brooke N. Wolford Valeria Lo Faro Esteban A. Lopera-Maya Kristi Läll Marie-Julie Favé Juulia Partanen Sinéad B. Chapman Juha Karjalainen Mitja Kurki Mutaamba Maasha Ben Brumpton Sameer Chavan Tzu‐Ting Chen Michelle Daya Yi Ding Yen‐Chen Anne Feng Lindsay Guare Christopher R. Gignoux Sarah E. Graham Whitney Hornsby Nathan Ingold Said I. Ismail Ruth Johnson Triin Laisk Kuang Lin Jun Lv Iona Y. Millwood Sonia Moreno‐Grau Kisung Nam Priit Palta Anita Pandit Michael Preuß Chadi Saad Shefali Setia-Verma Unnur Þorsteinsdóttir Jasmina Uzunović Anurag Verma Matthew Zawistowski Xue Zhong Nahla Afifi Kawthar Al-Dabhani Asma Al Thani Yuki Bradford Archie Campbell Kristy Crooks Geertruida H. de Bock Scott M. Damrauer Nicholas J. Douville Sarah Finer Lars G. Fritsche Eleni Fthenou Gilberto Gonzalez-Arroyo Chris Griffiths Yu Guo Karen A. Hunt Alexander Ioannidis Nomdo M. Jansonius Takahiro Konuma Ming Ta Michael Lee Arturo Lopez-Pineda Yuta Matsuda Riccardo E. Marioni Babak Moatamed Marco A. Nava-Aguilar Kensuke Numakura Snehal Patil Nicholas Rafaels Anne Richmond Agustin Rojas‐Muñoz Jonathan Shortt Péter Straub Ran Tao Brett Vanderwerff Manvi Vernekar Yogasudha Veturi Kathleen C. Barnes Marike Boezen Zhengming Chen Chia‐Yen Chen Judy H. Cho George Davey Smith Hilary K. Finucane Lude Franke Eric R. Gamazon

10.1016/j.xgen.2022.100210 article EN Cell Genomics 2022-11-04

The causal association between the gut microbiome and development of migraine its subtypes remains unclear.The single nucleotide polymorphisms concerning were retrieved from gene-wide study (GWAS) MiBioGen consortium. summary statistics datasets migraine, with aura (MA), without (MO) obtained GWAS meta-analysis International Headache Genetics Consortium (IHGC) FinnGen Inverse variance weighting (IVW) was used as primary method, complemented by sensitivity analyses for pleiotropy increasing...

10.1186/s10194-023-01609-x article EN cc-by The Journal of Headache and Pain 2023-07-17

DNA methylation is one of the most studied epigenetic marks in human genome, with result that desire to map methylome has driven development several methods on a genomic scale. Our study presents first comparison two these techniques - targeted approach Infinium HumanMethylation450 BeadChip® immunoprecipitation and sequencing-based method, MeDIP-seq. Both were initially validated respect bisulfite sequencing as gold standard then assessed terms coverage, resolution accuracy. The regions can...

10.1371/journal.pone.0050233 article EN cc-by PLoS ONE 2012-11-29

Abstract The genetic features of isolated populations can boost power in complex-trait association studies, and an in-depth understanding how their variation has been shaped by demographic history help leverage these advantageous characteristics. Here, we perform a comprehensive investigation using 3,059 newly generated low-depth whole-genome sequences from eight European isolates two matched general populations, together with published data the 1000 Genomes Project UK10K. Sequencing give...

10.1038/ncomms15927 article EN cc-by Nature Communications 2017-06-23

Isolated populations with enrichment of variants due to recent population bottlenecks provide a powerful resource for identifying disease-associated genetic and genes. As model an isolate population, we sequenced the genomes 1463 Finnish individuals as part Sequencing Initiative Suomi (SISu) Project. We compared genomic profiles Finns sample British that were in parallel UK10K Whereas there no major differences allele frequency common variants, significant depletion rare spectrum was...

10.1038/ejhg.2016.205 article EN cc-by European Journal of Human Genetics 2017-02-01
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