Mattias Frånberg

ORCID: 0000-0002-0749-9903
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Research Areas
  • Genetic Associations and Epidemiology
  • Bioinformatics and Genomic Networks
  • Genetic Mapping and Diversity in Plants and Animals
  • Nutrition, Genetics, and Disease
  • Genomics and Phylogenetic Studies
  • Genetic and phenotypic traits in livestock
  • Pancreatic function and diabetes
  • RNA and protein synthesis mechanisms
  • Hormonal Regulation and Hypertension
  • Blood properties and coagulation
  • Renin-Angiotensin System Studies
  • Genetic diversity and population structure
  • Birth, Development, and Health
  • Cancer-related molecular mechanisms research
  • Genetic Syndromes and Imprinting
  • Cerebrovascular and genetic disorders
  • Health, Environment, Cognitive Aging
  • Statistical Methods in Clinical Trials
  • Microfluidic and Capillary Electrophoresis Applications
  • Advanced Proteomics Techniques and Applications
  • Congenital heart defects research
  • Peroxisome Proliferator-Activated Receptors
  • Diabetes Treatment and Management
  • Receptor Mechanisms and Signaling
  • Metabolism, Diabetes, and Cancer

Karolinska Institutet
2015-2021

Stockholm University
2015-2017

Science for Life Laboratory
2015-2017

Karolinska University Hospital
2017

Numerical Method (China)
2015

Institute for Atherosclerosis Research
2015

Robert A. Scott Laura J. Scott Reedik Mägi Letizia Marullo Kyle J. Gaulton and 95 more Marika Kaakinen Natalia Pervjakova Tune H. Pers Andrew D. Johnson John D. Eicher Anne Jackson Teresa Ferreira Yeji Lee Clement Ma Valgerður Steinthórsdóttir Guðmar Þorleifsson Lu Qi Natalie R. van Zuydam Anubha Mahajan Han Chen Peter Almgren Benjamin F. Voight Harald Grallert Martina Müller‐Nurasyid Janina S. Ried Nigel W. Rayner Neil Robertson Lennart C. Karssen Jin‐Moo Lee Sara M. Willems Christian Fuchsberger Phoenix Kwan Tanya M. Teslovich Pritam Chanda Man Li Yingchang Lu Christian Dina Dorothée Thuillier Loïc Yengo Longda Jiang Thomas Sparsø Hans A. Kestler Himanshu Chheda Lewin Eisele Stefan Gustafsson Mattias Frånberg Rona J. Strawbridge Rafn Benediktsson Ástráður B. Hreiðarsson Augustine Kong Gunnar Sigurðsson Nicola D. Kerrison Jian’an Luan Liming Liang Thomas Meitinger Michael Roden Barbara Thorand Tõnu Esko Evelin Mihailov Caroline S. Fox Yongmei Liu Denis Rybin Bo Isomaa Valeriya Lyssenko Jaakko Tuomilehto David Couper James S. Pankow Niels Grarup Henri Theil Marit E. Jørgensen Torben Jørgensen Allan Linneberg Marilyn C. Cornelis Rob M. van Dam Sarah Hunt Peter Kraft Qi Sun Sarah Edkins Katharine R. Owen John R. B. Perry Andrew R. Wood Eleftheria Zeggini Juan Tajes-Fernandes Gonçalo R. Abecasis Lori L. Bonnycastle Peter S. Chines Heather M. Stringham Heikki A. Koistinen Leena Kinnunen Bengt Sennblad Hae‐Won Uh Markus M. Nöthen Sonali Pechlivanis Damiano Baldassarre Karl Gertow Steve E. Humphries Elena Tremoli Norman Klopp Julia Meyer Gerald Steinbach

To characterize type 2 diabetes (T2D)-associated variation across the allele frequency spectrum, we conducted a meta-analysis of genome-wide association data from 26,676 T2D case and 132,532 control subjects European ancestry after imputation using 1000 Genomes multiethnic reference panel. Promising signals were followed up in additional sets (of 14,545 or 7,397 38,994 71,604 subjects). We identified 13 novel T2D-associated loci (P < 5 × 10-8), including variants near GLP2R, GIP, HLA-DQA1...

10.2337/db16-1253 article EN Diabetes 2017-05-31
Kyle J. Gaulton Teresa Ferreira Yeji Lee Anne Raimondo Reedik Mägi and 95 more Michael E. Reschen Anubha Mahajan Adam E. Locke Nigel W. Rayner Neil Robertson Robert A. Scott Inga Prokopenko Laura J. Scott Todd Green Thomas Sparsø Dorothée Thuillier Loïc Yengo Harald Grallert Simone Wahl Mattias Frånberg Rona J. Strawbridge Hans A. Kestler Himanshu Chheda Lewin Eisele Stefan Gustafsson Valgerður Steinthórsdóttir Guðmar Þorleifsson Lu Qi Lennart C. Karssen Jin‐Moo Lee Sara M. Willems Man Li Han Chen Christian Fuchsberger Phoenix Kwan Clement Ma Michael D. Linderman Yingchang Lu Soren K. Thomsen Jana K. Rundle Nicola L. Beer Martijn van de Bunt Anil Chalisey Hyun Min Kang Benjamin F. Voight Gonçalo R. Abecasis Peter Almgren Damiano Baldassarre Beverley Balkau Rafn Benediktsson Matthias Blüher Heiner Boeing Lori L. Bonnycastle Erwin P. Böttinger Noël P. Burtt Jason Carey G. Charpentier Peter S. Chines Marilyn C. Cornelis David Couper Andrew Crenshaw Rob M. van Dam Alex S. F. Doney Mozhgan Dorkhan Sarah Edkins Johan G. Eriksson Tõnu Esko Elodie Eury João Fadista Jason Flannick Pierre Fontanillas Caroline S. Fox Paul W. Franks Karl Gertow Christian Gieger Bruna Gigante Omri Gottesman George Grant Niels Grarup Christopher J. Groves Maija Hassinen Henri Theil Christian Herder Oddgeir L. Holmen Ástráður B. Hreiðarsson Steve E. Humphries Sarah Hunt Anne Jackson Anna Jonsson Marit E. Jørgensen Torben Jørgensen Wen‐Hong L. Kao Nicola D. Kerrison Leena Kinnunen Norman Klopp Augustine Kong Péter Kovács Peter Kraft Jasmina Kravić Cordelia Langford

10.1038/ng.3437 article EN Nature Genetics 2015-11-09

Recent advances in highly multiplexed immunoassays have allowed systematic large-scale measurement of hundreds plasma proteins large cohort studies. In combination with genotyping, such studies offer the prospect to 1) identify mechanisms involved regulation protein expression plasma, and 2) determine whether are likely be causally implicated disease. We report here results genome-wide association (GWA) 83 considered relevant cardiovascular disease (CVD), measured 3,394 individuals multiple...

10.1371/journal.pgen.1006706 article EN cc-by PLoS Genetics 2017-04-03
Jennifer Wessel Audrey Y. Chu Sara M. Willems Shuai Wang Hanieh Yaghootkar and 95 more Jennifer A. Brody Marco Dauriz Marie‐France Hivert Sridharan Raghavan Leonard Lipovich Bertha Hidalgo Keolu Fox Jennifer E. Huffman Ping An Yingchang Lu Laura J. Rasmussen‐Torvik Niels Grarup Margaret G. Ehm Li Li Abigail S. Baldridge Alena Stančáková Ravinder Abrol Céline Besse Anne Boland Jette Bork‐Jensen Myriam Fornage Daniel F. Freitag Melissa E. Garcia Xiuqing Guo Kazuo Hara Aaron Isaacs Jóhanna Jakobsdóttir Leslie A. Lange Jill Layton Man Li Wei Zhao Karina Meidtner Alanna C. Morrison Mike A. Nalls Marjolein J. Peters Maria Sabater‐Lleal Claudia Schurmann Angela Silveira Albert V. Smith Lorraine Southam Marcus H. Stoiber Rona J. Strawbridge Kent D. Taylor Tibor V. Varga Kristine H. Allin Najaf Amin Jennifer L. Aponte Tin Aung Caterina Barbieri Nathan A. Bihlmeyer Michael Boehnke Cristina Bombieri Donald W. Bowden Sean M. Burns Yuning Chen Yii-DerI Chen Ching‐Yu Cheng Adolfo Correa Jacek Czajkowski Abbas Dehghan Georg Ehret Guðný Eiríksdóttir Stefan Andersson Escher Aliki-Eleni Farmaki Mattias Frånberg Giovanni Gambaro Franco Giulianini William A. Goddard Anuj Goel Omri Gottesman Megan L. Grove Stefan Gustafsson Yang Hai Göran Hallmans Jiyoung Heo Per Hoffmann M. Kamran Ikram Richard A. Jensen Marit E. Jørgensen Torben Jørgensen Maria Karaleftheri Chiea Chuen Khor Andrea Kirkpatrick Aldi T. Kraja Johanna Kuusisto Ethan M. Lange I. T. Lee Wen‐Jane Lee Aaron Leong Jiemin Liao Chunyu Liu Yongmei Liu Cecilia M. Lindgren Allan Linneberg Giovanni Malerba

Abstract Fasting glucose and insulin are intermediate traits for type 2 diabetes. Here we explore the role of coding variation on these by analysis variants HumanExome BeadChip in 60,564 non-diabetic individuals 16,491 T2D cases 81,877 controls. We identify a novel association low-frequency nonsynonymous SNV GLP1R (A316T; rs10305492; MAF=1.4%) with lower FG ( β =−0.09±0.01 mmol l −1 , P =3.4 × 10 −12 ), risk (OR[95%CI]=0.86[0.76–0.96], =0.010), early secretion (β =−0.07±0.035 pmol =0.048),...

10.1038/ncomms6897 article EN cc-by Nature Communications 2015-01-29
Louise V. Wain Ahmad Vaez Rick Jansen Roby Joehanes Peter J. van der Most and 95 more A. Mesut Erzurumluoglu Paul F. O’Reilly Claudia P. Cabrera Helen R. Warren Lynda M. Rose Germaine C. Verwoert Jouke‐Jan Hottenga Rona J. Strawbridge Tõnu Esko Dan E. Arking Shih-Jen Hwang Xiuqing Guo Zoltán Kutalik Stella Trompet Nick Shrine Alexander Teumer Janina S. Ried Joshua C. Bis Albert V. Smith Najaf Amin Ilja M. Nolte Leo‐Pekka Lyytikäinen Anubha Mahajan Nicholas J. Wareham Edith Hofer Peter K. Joshi Kati Kristiansson Michela Traglia Aki S. Havulinna Anuj Goel Mike A. Nalls Siim Sõber Dragana Vuckovic Jian’an Luan Fabiola Del Greco M Kristin L. Ayers Jaume Marrugat Daniela Ruggiero Lorna M. Lopez Teemu Niiranen Stefan Enroth Anne Jackson Christopher P. Nelson Jennifer E. Huffman Weihua Zhang Jonathan Marten Ilaria Gandin Sarah E. Harris Tatijana Zemunik Yingchang Lu Εvangelos Εvangelou Nabi Shah Martin H. de Borst Massimo Mangino Bram P. Prins Archie Campbell Ruifang Li‐Gao Ganesh Chauhan Christopher Oldmeadow Gonçalo Abecasis Maryam Abedi Caterina Barbieri Michael R. Barnes Chiara Batini John Beilby Tineka Blake Michael Boehnke Erwin P. Böttinger Peter S. Braund Morris J. Brown Marco Brumat Harry Campbell John C. Chambers Massimiliano Cocca Francis S. Collins John Connell Heather J. Cordell Jeffrey Damman Gail Davies Eco J. C. de Geus Renée de Mutsert Joris Deelen Yusuf Demirkale Alex S. F. Doney Marcus Dörr Martin Farrall Teresa Ferreira Mattias Frånberg He Gao Vilmantas Giedraitis Christian Gieger Franco Giulianini Alan J. Gow Anders Hamsten Tamara B. Harris

Elevated blood pressure is a major risk factor for cardiovascular disease and has substantial genetic contribution. Genetic variation influencing the potential to identify new pharmacological targets treatment of hypertension. To discover additional novel loci, we used 1000 Genomes Project–based imputation in 150 134 European ancestry individuals sought significant evidence independent replication further 228 245 individuals. We report 6 signals association or near HSPB7 , TNXB LRP12...

10.1161/hypertensionaha.117.09438 article EN Hypertension 2017-07-25
Victoria Taylor‐Bateman Dipender Gill Marios K. Georgakis Rainer Malik Patricia B. Munroe and 95 more Matthew Traylor Εvangelos Εvangelou Helen R. Warren He Gao Georgios Ntritsos Niki Dimou Tõnu Esko Reedik Mägi Lili Milani Peter Almgren Thibaud Boutin Stéphanie Debette Jun Ding Franco Giulianini Elizabeth G. Holliday Anne Jackson Ruifang Li‐Gao Wei‐Yu Lin Jian’an Luan Massimo Mangino Christopher Oldmeadow Bram P. Prins Yong Qian Muralidharan Sargurupremraj Nabi Shah Praveen Surendran Sébastien Thériault Niek Verweij Sara M. Willems Jing-Hua Zhao Philippe Amouyel John Connell Renée de Mutsert Alex S. F. Doney Martin Farrall Cristina Menni Andrew D. Morris Raymond Noordam Guillaume Paré Neil R Poulter Denis C. Shields Alice Stanton Simon Thom Gonçalo R. Abecasis Najaf Amin Dan E. Arking Kristin L. Ayers Caterina Barbieri Chiara Batini Joshua C. Bis Tineka Blake Murielle Bochud Michael Boehnke Eric Boerwinkle Dorret I. Boomsma Erwin P Bottinger Peter S. Braund Marco Brumat Archie Campbell Harry Campbell Aravinda Chakravarti John C. Chambers Ganesh Chauhan Marina Ciullo Massimiliano Cocca Francis S. Collins Heather J. Cordell Gail Davies Martin H. de Borst Eco J. C. de Geus Ian J. Deary Joris Deelen Fabiola Del Greco M Cumhur Yusuf Demirkale Marcus Dörr Georg Ehret Roberto Elosúa Stefan Enroth A. Mesut Erzurumluoglu Teresa Ferreira Mattias Frånberg Oscar H. Franco Ilaria Gandin Paolo Gasparini Vilmantas Giedraitis Christian Gieger Giorgia Girotto Anuj Goel Alan J. Gow Vilmundur Guðnason Xiuqing Guo Ulf Gyllensten Anders Hamsten Tamara B. Harris Sarah E. Harris

Cardiovascular risk factors have been implicated in the etiology of cerebral small vessel disease (CSVD); however, whether associations are causal remains unclear part due to susceptibility observational studies reverse causation and confounding. Here, we use mendelian randomization (MR) determine which cardiovascular likely be involved CSVD.We used data from large-scale genome-wide association European ancestry identify genetic proxies for blood pressure, lipids, body mass index (BMI), type...

10.1212/wnl.0000000000013120 article EN Neurology 2021-11-29

An increasing number of genome-wide association (GWA) studies are now using the higher resolution 1000 Genomes Project reference panel (1000G) for imputation, with expectation that 1000G imputation will lead to discovery additional associated loci when compared HapMap imputation. In order assess improvement over in identifying loci, we results GWA circulating fibrinogen based on two panels. Using both and performed a meta-analysis 22 comprising same 91,953 individuals. We identified six...

10.1371/journal.pone.0167742 article EN public-domain PLoS ONE 2017-01-20
Εvangelos Εvangelou Helen R. Warren David Mosén-Ansorena Borbála Mifsud Raha Pazoki and 95 more He Gao Georgios Ntritsos Niki Dimou Claudia P. Cabrera İbrahim Karaman Fu Liang Ng Marina Evangelou Katarzyna Witkowska Evan Tzanis Jacklyn N. Hellwege Ayush Giri Digna R. Velez Edwards Yan V. Sun Kelly Cho J. Michael Gaziano Peter W.F. Wilson Philip S. Tsao Csaba P. Kövesdy Tõnu Esko Reedik Mägi Lili Milani Peter Almgren Thibaud Boutin Stéphanie Debette Jun Ding Franco Giulianini Elizabeth G. Holliday Anne Jackson Ruifang Li‐Gao Wei‐Yu Lin Jian’an Luan Massimo Mangino Christopher Oldmeadow Bram P. Prins Yong Qian Muralidharan Sargurupremraj Nabi Shah Praveen Surendran Sébastien Thériault Niek Verweij Sara M. Willems Jinghua Zhao Philippe Amouyel John Connell Renée de Mutsert Alex S. F. Doney Martin Farrall Cristina Menni Andrew D. Morris Raymond Noordam Guillaume Paré Neil R Poulter Denis C. Shields Alice Stanton Simon Thom Gonçalo Abecasis Najaf Amin Dan E. Arking Kristin L. Ayers Caterina Barbieri Chiara Batini Joshua C. Bis Tineka Blake Murielle Bochud Michael Boehnke Eric Boerwinkle Dorret I. Boomsma Erwin P. Böttinger Peter S. Braund Marco Brumat Archie Campbell Harry Campbell Aravinda Chakravarti John C. Chambers Ganesh Chauhan Marina Ciullo Massimiliano Cocca Francis S. Collins Heather J. Cordell Gail Davies Martin H. de Borst Eco J. C. de Geus Ian J. Deary Joris Deelen Fabiola Del Greco M Cumhur Yusuf Demirkale Marcus Dörr Georg Ehret Roberto Elosúa Stefan Enroth A. Mesut Erzurumluoglu Teresa Ferreira Mattias Frånberg Oscar H. Franco Ilaria Gandin

Abstract High blood pressure is the foremost heritable global risk factor for cardiovascular disease. We report largest genetic association study of traits to date (systolic, diastolic, pulse pressure) in over one million people European ancestry. identify 535 novel loci that not only offer new biological insights into regulation but also reveal shared influencing lifestyle exposures. Our findings potential a precision medicine strategy future disease prevention.

10.1101/198234 preprint EN bioRxiv (Cold Spring Harbor Laboratory) 2017-10-11

Despite the success of genome-wide association studies in medical genetics, underlying genetics many complex diseases remains enigmatic. One plausible reason for this could be failure to account presence genetic interactions current analyses. Exhaustive investigations are typically infeasible because vast number possible impose hard statistical and computational challenges. There is, therefore, a need computationally efficient methods that build on models appropriately capturing interaction....

10.1371/journal.pgen.1005502 article EN cc-by PLoS Genetics 2015-09-24

Insert size distributions from paired read protocols are used for inference in bioinformatic applications such as genome assembly and structural variation detection. However, many of the models that being subject to bias. This bias arises when we assume all insert sizes within a distribution equally likely be observed, fact, matters. These systematic errors exist popular software even assumptions made about data true. We have previously shown occurs scaffolders assembly. Here, generalize...

10.1101/023929 preprint EN cc-by-nc-nd bioRxiv (Cold Spring Harbor Laboratory) 2015-08-04

Reads from paired-end and mate-pair libraries are often utilized to find structural variation in genomes, one common approach is use their fragment length for detection. After aligning read pairs the reference, pair distances analyzed statistically significant deviations. However, previously proposed methods based on a simplified model of observed lengths that does not agree with data. We show how this limits statistical analysis identifying variants propose new by adapting we have...

10.1089/cmb.2016.0124 article EN Journal of Computational Biology 2016-09-28

In the past decade, AB tests have become standard method for making product decisions in tech companies. They offer a scientific approach to development, using statistical hypothesis testing control risks of incorrect decisions. Typically, multiple metrics are used serve different purposes, such as establishing evidence success, guarding against regressions, or verifying test validity. To mitigate with outcomes, it's crucial adapt design and analysis varied roles these outcomes. This paper...

10.48550/arxiv.2402.11609 preprint EN arXiv (Cornell University) 2024-02-18

Online controlled experiments, or A/B tests, are large-scale randomized trials in digital environments. This paper investigates the estimands of difference-in-means estimator these focusing on scenarios with repeated measurements users. We compare cumulative metrics that use all post-exposure data for each user to windowed measure over a fixed time window. analyze and highlight trade-offs between two types metrics. Our findings reveal while eliminate need pre-defined measurement windows,...

10.48550/arxiv.2411.06150 preprint EN arXiv (Cornell University) 2024-11-09

A complex disease has, by definition, multiple genetic causes. In theory, these causes could be identified individually, but their identification will likely benefit from informed use of anticipated interactions between addition, characterizing and understanding must considered key to revealing the etiology any disease. Large-scale collaborative efforts are now paving way for comprehensive studies interaction. As a consequence, there is need methods with computational efficiency sufficient...

10.1371/journal.pcbi.1005556 article EN cc-by PLoS Computational Biology 2017-06-06
Louise V. Wain Ahmad Vaez Rick Jansen Roby Joehanes Peter J. van der Most and 95 more A. Mesut Erzurumluoglu Paul F. O’Reilly Claudia P. Cabrera Helen R. Warren Lynda M. Rose Germaine C. Verwoert Jouke‐Jan Hottenga Rona J. Strawbridge Tõnu Esko Dan E. Arking Shih-Jen Hwang Xiuqing Guo Zoltán Kutalik Stella Trompet Nick Shrine Alexander Teumer Janina S. Ried Joshua C. Bis Albert V. Smith Najaf Amin Ilja M. Nolte Leo‐Pekka Lyytikäinen Anubha Mahajan Nicholas J. Wareham Edith Hofer Peter K. Joshi Kati Kristiansson Michela Traglia Aki S. Havulinna Anuj Goel Mike A. Nalls Siim Sõber Dragana Vuckovic Jian’an Luan Fabiola Del Greco M Kristin L. Ayers Jaume Marrugat Daniela Ruggiero Lorna M. Lopez Teemu Niiranen Stefan Enroth Anne Jackson Christopher P. Nelson Jennifer E. Huffman Weihua Zhang Jonathan Marten Ilaria Gandin Sarah E. Harris Tatijana Zemonik Yingchang Lu Εvangelos Εvangelou Nabi Shah Martin H. de Borst Massimo Mangino Bram P. Prins Archie Campbell Ruifang Li‐Gao Ganesh Chauhan Christopher Oldmeadow Gonçalo Abecasis Maryam Abedi Caterina Barbieri Michael R. Barnes Chiara Batini John Beilby Tineka Blake Michael Boehnke Erwin P. Böttinger Peter S. Braund Morris J. Brown Marco Brumat Harry Campbell John C. Chambers Massimiliano Cocca Francis S. Collins John Connell Heather J. Cordell Jeffrey Damman Gail Davies Eco J. C. de Geus Renée de Mutsert Joris Deelen Yusuf Demirkale Alex S. F. Doney Marcus Dörr Martin Farrall Teresa Ferreira Mattias Frånberg He Gao Vilmantas Giedraitis Christian Gieger Franco Giulianini Alan J. Gow Anders Hamsten Tamara B. Harris

ABSTRACT Elevated blood pressure is a major risk factor for cardiovascular disease and has substantial genetic contribution. Genetic variation influencing the potential to identify new pharmacological targets treatment of hypertension. To discover additional novel loci, we used 1000 Genomes Project-based imputation in 150,134 European ancestry individuals sought significant evidence independent replication further 228,245 individuals. We report 6 signals association or near HSPB7, TNXB,...

10.1101/110833 preprint EN cc-by-nc-nd bioRxiv (Cold Spring Harbor Laboratory) 2017-02-22

Abstract Reads from paired-end and mate-pair libraries are often utilized to find structural variation in genomes, one common approach is use their fragment length for detection. After aligning read-pairs the reference, read-pair distances analyzed statistically significant deviations. However, previously proposed methods based on a simplified model of observed lengths that does not agree with data. We show how this limits statistical analysis identifying variants propose new model, by...

10.1101/036707 preprint EN cc-by bioRxiv (Cold Spring Harbor Laboratory) 2016-01-14
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