Refining the accuracy of validated target identification through coding variant fine-mapping in type 2 diabetes Article Swipe

PDF

Anubha Mahajan , Jennifer Wessel , Sara M. Willems , Zhao Wei , Neil R. Robertson , Audrey Y. Chu , Wei Gan , Hidetoshi Kitajima , Daniel Taliun , N. William Rayner , Xiuqing Guo , Yingchang Lu , Man Li , Richard A. Jensen , Yao Hu , Shaofeng Huo , Kurt K. Lohman , Weihua Zhang , James P. Cook , Bram P. Prins , Jason Flannick , Niels Grarup , Vassily Trubetskoy , Jasmina Kravić , Young Jin Kim , Denis Rybin , Hanieh Yaghootkar , Martina Müller‐Nurasyid , Karina Meidtner , Ruifang Li‐Gao , Tibor V. Varga , Jonathan Marten , Li Jin , Albert V. Smith , Ping An , Symen Ligthart , Stefan Gustafsson , Giovanni Malerba , Ayşe Demirkan , Juan Fernández Tajes , Valgerður Steinthórsdóttir , Matthias Wuttke , Cécile Lecœur , Michael Preuß , Lawrence F. Bielak , Marielisa Graff , Heather M. Highland , Anne E. Justice , Dajiang J. Liu , Eirini Marouli , Gina M. Peloso , Helen R. Warren , Saima Afaq , Shoaib Afzal , Emma Ahlqvist , Peter Almgren , Najaf Amin , Lia B. Bang , Alain G. Bertoni , Cristina Bombieri , Jette Bork‐Jensen , Ivan Brandslund , Jennifer A. Brody , Noël P. Burtt , Mickaël Canouil , Yii‐Der Ida Chen , Yoon Shin Cho , Cramer Christensen , Sophie V. Eastwood , Kai‐Uwe Eckardt , Krista Fischer , Giovanni Gambaro , Vilmantas Giedraitis , Megan L. Grove , Hugoline G. de Haan , Sophie Hackinger , Yang Hai , Sohee Han , Anne Tybjærg‐Hansen , Marie‐France Hivert , Bo Isomaa , Susanne Jäger , Marit E. Jørgensen , Torben Jørgensen , Annemari Käräjämäki , Bong-Jo Kim , Sung‐Soo Kim , Heikki A. Koistinen , Péter Kovács , Jennifer Kriebel , Florian Kronenberg , Kristi Läll , Leslie A. Lange , Jung‐Jin Lee , Benjamin Lehne , Huaixing Li , Keng‐Hung Lin , Allan Linneberg , Yongmei Liu , Jun Liu ·

YOU? · · 2017 · Open Access · · DOI: https://doi.org/10.1101/144410

Identification of coding variant associations for complex diseases offers a direct route to biological insight, but is dependent on appropriate inference concerning the causal impact of those variants on disease risk. We aggregated coding variant data for 81,412 type 2 diabetes (T2D) cases and 370,832 controls of diverse ancestry, identifying 40 distinct coding variant association signals (at 38 loci) reaching significance ( p <2.2×10 −7 ). Of these, 16 represent novel associations mapping outside known genome-wide association study (GWAS) signals. We make two important observations. First, despite a threefold increase in sample size over previous efforts, only five of the 40 signals are driven by variants with minor allele frequency <5%, and we find no evidence for low-frequency variants with allelic odds ratio >1.29. Second, we used GWAS data from 50,160 T2D cases and 465,272 controls of European ancestry to fine-map these associated coding variants in their regional context, with and without additional weighting to account for the global enrichment of complex trait association signals in coding exons. At the 37 signals for which we attempted fine-mapping, we demonstrate convincing support (posterior probability >80% under the “annotation-weighted” model) that coding variants are causal for the association at 16 (including novel signals involving POC5 p.His36Arg, ANKH p.Arg187Gln, WSCD2 p.Thr113Ile, PLCB3 p.Ser778Leu, and PNPLA3 p.Ile148Met). However, at 13 of the 37 loci, the associated coding variants represent “false leads” and naïve analysis could have led to an erroneous inference regarding the effector transcript mediating the signal. Accurate identification of validated targets is dependent on correct specification of the contribution of coding and non-coding mediated mechanisms at associated loci.

Related Topics

Computer Science

Type 2 Diabetes

Type 1 Diabetes

Artificial Intelligence

Concepts

Coding (social sciences) Computer science Identification (biology) Type 2 diabetes Type 1 diabetes Artificial intelligence Mathematics Medicine Diabetes mellitus Biology Statistics Botany Endocrinology

Metadata

Type: article
Language: en
Landing Page: https://doi.org/10.1101/144410
PDF: https://www.biorxiv.org/content/biorxiv/early/2017/12/13/144410.full.pdf
OA Status: green
References: 57
OpenAlex ID: https://openalex.org/W2801547246

All OpenAlex metadata

Raw OpenAlex JSON

OpenAlex ID: https://openalex.org/W2801547246

Canonical identifier for this work in OpenAlex
DOI: https://doi.org/10.1101/144410

Digital Object Identifier
Title: Refining the accuracy of validated target identification through coding variant fine-mapping in type 2 diabetes

Work title
Type: article

OpenAlex work type
Language: en

Primary language
Publication year: 2017

Year of publication
Publication date: 2017-05-31

Full publication date if available
Authors: Anubha Mahajan, Jennifer Wessel, Sara M. Willems, Zhao Wei, Neil R. Robertson, Audrey Y. Chu, Wei Gan, Hidetoshi Kitajima, Daniel Taliun, N. William Rayner, Xiuqing Guo, Yingchang Lu, Man Li, Richard A. Jensen, Yao Hu, Shaofeng Huo, Kurt K. Lohman, Weihua Zhang, James P. Cook, Bram P. Prins, Jason Flannick, Niels Grarup, Vassily Trubetskoy, Jasmina Kravić, Young Jin Kim, Denis Rybin, Hanieh Yaghootkar, Martina Müller‐Nurasyid, Karina Meidtner, Ruifang Li‐Gao, Tibor V. Varga, Jonathan Marten, Li Jin, Albert V. Smith, Ping An, Symen Ligthart, Stefan Gustafsson, Giovanni Malerba, Ayşe Demirkan, Juan Fernández Tajes, Valgerður Steinthórsdóttir, Matthias Wuttke, Cécile Lecœur, Michael Preuß, Lawrence F. Bielak, Marielisa Graff, Heather M. Highland, Anne E. Justice, Dajiang J. Liu, Eirini Marouli, Gina M. Peloso, Helen R. Warren, Saima Afaq, Shoaib Afzal, Emma Ahlqvist, Peter Almgren, Najaf Amin, Lia B. Bang, Alain G. Bertoni, Cristina Bombieri, Jette Bork‐Jensen, Ivan Brandslund, Jennifer A. Brody, Noël P. Burtt, Mickaël Canouil, Yii‐Der Ida Chen, Yoon Shin Cho, Cramer Christensen, Sophie V. Eastwood, Kai‐Uwe Eckardt, Krista Fischer, Giovanni Gambaro, Vilmantas Giedraitis, Megan L. Grove, Hugoline G. de Haan, Sophie Hackinger, Yang Hai, Sohee Han, Anne Tybjærg‐Hansen, Marie‐France Hivert, Bo Isomaa, Susanne Jäger, Marit E. Jørgensen, Torben Jørgensen, Annemari Käräjämäki, Bong-Jo Kim, Sung‐Soo Kim, Heikki A. Koistinen, Péter Kovács, Jennifer Kriebel, Florian Kronenberg, Kristi Läll, Leslie A. Lange, Jung‐Jin Lee, Benjamin Lehne, Huaixing Li, Keng‐Hung Lin, Allan Linneberg, Yongmei Liu, Jun Liu

List of authors in order
Landing page: https://doi.org/10.1101/144410

Publisher landing page
PDF URL: https://www.biorxiv.org/content/biorxiv/early/2017/12/13/144410.full.pdf

Direct link to full text PDF
Open access: Yes

Whether a free full text is available
OA status: green

Open access status per OpenAlex
OA URL: https://www.biorxiv.org/content/biorxiv/early/2017/12/13/144410.full.pdf

Direct OA link when available
Concepts: Coding (social sciences), Computer science, Identification (biology), Type 2 diabetes, Type 1 diabetes, Artificial intelligence, Mathematics, Medicine, Diabetes mellitus, Biology, Statistics, Botany, Endocrinology

Top concepts (fields/topics) attached by OpenAlex
Cited by: 0

Total citation count in OpenAlex
References (count): 57

Number of works referenced by this work

Full payload

id	https://openalex.org/W2801547246
doi	https://doi.org/10.1101/144410
ids.doi	https://doi.org/10.1101/144410
ids.mag	2801547246
ids.openalex	https://openalex.org/W2801547246
fwci	0.0
type	article
title	Refining the accuracy of validated target identification through coding variant fine-mapping in type 2 diabetes
biblio.issue
biblio.volume
biblio.last_page
biblio.first_page
topics[0].id	https://openalex.org/T10862
topics[0].field.id	https://openalex.org/fields/17
topics[0].field.display_name	Computer Science
topics[0].score	0.9434000253677368
topics[0].domain.id	https://openalex.org/domains/3
topics[0].domain.display_name	Physical Sciences
topics[0].subfield.id	https://openalex.org/subfields/1702
topics[0].subfield.display_name	Artificial Intelligence
topics[0].display_name	AI in cancer detection
topics[1].id	https://openalex.org/T11396
topics[1].field.id	https://openalex.org/fields/36
topics[1].field.display_name	Health Professions
topics[1].score	0.9416999816894531
topics[1].domain.id	https://openalex.org/domains/4
topics[1].domain.display_name	Health Sciences
topics[1].subfield.id	https://openalex.org/subfields/3605
topics[1].subfield.display_name	Health Information Management
topics[1].display_name	Artificial Intelligence in Healthcare
is_xpac	False
apc_list
apc_paid
concepts[0].id	https://openalex.org/C179518139
concepts[0].level	2
concepts[0].score	0.5050151944160461
concepts[0].wikidata	https://www.wikidata.org/wiki/Q5140297
concepts[0].display_name	Coding (social sciences)
concepts[1].id	https://openalex.org/C41008148
concepts[1].level	0
concepts[1].score	0.4980146884918213
concepts[1].wikidata	https://www.wikidata.org/wiki/Q21198
concepts[1].display_name	Computer science
concepts[2].id	https://openalex.org/C116834253
concepts[2].level	2
concepts[2].score	0.4562259316444397
concepts[2].wikidata	https://www.wikidata.org/wiki/Q2039217
concepts[2].display_name	Identification (biology)
concepts[3].id	https://openalex.org/C2777180221
concepts[3].level	3
concepts[3].score	0.4328075051307678
concepts[3].wikidata	https://www.wikidata.org/wiki/Q3025883
concepts[3].display_name	Type 2 diabetes
concepts[4].id	https://openalex.org/C2781232474
concepts[4].level	3
concepts[4].score	0.41330140829086304
concepts[4].wikidata	https://www.wikidata.org/wiki/Q124407
concepts[4].display_name	Type 1 diabetes
concepts[5].id	https://openalex.org/C154945302
concepts[5].level	1
concepts[5].score	0.4072318971157074
concepts[5].wikidata	https://www.wikidata.org/wiki/Q11660
concepts[5].display_name	Artificial intelligence
concepts[6].id	https://openalex.org/C33923547
concepts[6].level	0
concepts[6].score	0.22950536012649536
concepts[6].wikidata	https://www.wikidata.org/wiki/Q395
concepts[6].display_name	Mathematics
concepts[7].id	https://openalex.org/C71924100
concepts[7].level	0
concepts[7].score	0.2017841935157776
concepts[7].wikidata	https://www.wikidata.org/wiki/Q11190
concepts[7].display_name	Medicine
concepts[8].id	https://openalex.org/C555293320
concepts[8].level	2
concepts[8].score	0.20080041885375977
concepts[8].wikidata	https://www.wikidata.org/wiki/Q12206
concepts[8].display_name	Diabetes mellitus
concepts[9].id	https://openalex.org/C86803240
concepts[9].level	0
concepts[9].score	0.12533393502235413
concepts[9].wikidata	https://www.wikidata.org/wiki/Q420
concepts[9].display_name	Biology
concepts[10].id	https://openalex.org/C105795698
concepts[10].level	1
concepts[10].score	0.09753963351249695
concepts[10].wikidata	https://www.wikidata.org/wiki/Q12483
concepts[10].display_name	Statistics
concepts[11].id	https://openalex.org/C59822182
concepts[11].level	1
concepts[11].score	0.0
concepts[11].wikidata	https://www.wikidata.org/wiki/Q441
concepts[11].display_name	Botany
concepts[12].id	https://openalex.org/C134018914
concepts[12].level	1
concepts[12].score	0.0
concepts[12].wikidata	https://www.wikidata.org/wiki/Q162606
concepts[12].display_name	Endocrinology
keywords[0].id	https://openalex.org/keywords/coding
keywords[0].score	0.5050151944160461
keywords[0].display_name	Coding (social sciences)
keywords[1].id	https://openalex.org/keywords/computer-science
keywords[1].score	0.4980146884918213
keywords[1].display_name	Computer science
keywords[2].id	https://openalex.org/keywords/identification
keywords[2].score	0.4562259316444397
keywords[2].display_name	Identification (biology)
keywords[3].id	https://openalex.org/keywords/type-2-diabetes
keywords[3].score	0.4328075051307678
keywords[3].display_name	Type 2 diabetes
keywords[4].id	https://openalex.org/keywords/type-1-diabetes
keywords[4].score	0.41330140829086304
keywords[4].display_name	Type 1 diabetes
keywords[5].id	https://openalex.org/keywords/artificial-intelligence
keywords[5].score	0.4072318971157074
keywords[5].display_name	Artificial intelligence
keywords[6].id	https://openalex.org/keywords/mathematics
keywords[6].score	0.22950536012649536
keywords[6].display_name	Mathematics
keywords[7].id	https://openalex.org/keywords/medicine
keywords[7].score	0.2017841935157776
keywords[7].display_name	Medicine
keywords[8].id	https://openalex.org/keywords/diabetes-mellitus
keywords[8].score	0.20080041885375977
keywords[8].display_name	Diabetes mellitus
keywords[9].id	https://openalex.org/keywords/biology
keywords[9].score	0.12533393502235413
keywords[9].display_name	Biology
keywords[10].id	https://openalex.org/keywords/statistics
keywords[10].score	0.09753963351249695
keywords[10].display_name	Statistics
language	en
locations[0].id	doi:10.1101/144410
locations[0].is_oa	True
locations[0].source.id	https://openalex.org/S4306402567
locations[0].source.issn
locations[0].source.type	repository
locations[0].source.is_oa	False
locations[0].source.issn_l
locations[0].source.is_core	False
locations[0].source.is_in_doaj	False
locations[0].source.display_name	bioRxiv (Cold Spring Harbor Laboratory)
locations[0].source.host_organization	https://openalex.org/I2750212522
locations[0].source.host_organization_name	Cold Spring Harbor Laboratory
locations[0].source.host_organization_lineage	https://openalex.org/I2750212522
locations[0].license	other-oa
locations[0].pdf_url	https://www.biorxiv.org/content/biorxiv/early/2017/12/13/144410.full.pdf
locations[0].version	acceptedVersion
locations[0].raw_type	posted-content
locations[0].license_id	https://openalex.org/licenses/other-oa
locations[0].is_accepted	True
locations[0].is_published	False
locations[0].raw_source_name
locations[0].landing_page_url	https://doi.org/10.1101/144410
locations[1].id	pmh:ark:/13030/qt8xr3h10v
locations[1].is_oa	False
locations[1].source
locations[1].license
locations[1].pdf_url
locations[1].version	submittedVersion
locations[1].raw_type
locations[1].license_id
locations[1].is_accepted	False
locations[1].is_published	False
locations[1].raw_source_name
locations[1].landing_page_url
locations[2].id	pmh:lumc:oai:openaccess.leidenuniv.nl:1887/86622
locations[2].is_oa	True
locations[2].source.id	https://openalex.org/S4306401843
locations[2].source.issn
locations[2].source.type	repository
locations[2].source.is_oa	False
locations[2].source.issn_l
locations[2].source.is_core	False
locations[2].source.is_in_doaj	False
locations[2].source.display_name	Data Archiving and Networked Services (DANS)
locations[2].source.host_organization	https://openalex.org/I1322597698
locations[2].source.host_organization_name	Royal Netherlands Academy of Arts and Sciences
locations[2].source.host_organization_lineage	https://openalex.org/I1322597698
locations[2].license	other-oa
locations[2].pdf_url
locations[2].version	submittedVersion
locations[2].raw_type	info:eu-repo/semantics/article
locations[2].license_id	https://openalex.org/licenses/other-oa
locations[2].is_accepted	False
locations[2].is_published	False
locations[2].raw_source_name	Nature Genetics, \n 50\n (\n 4\n )
locations[2].landing_page_url	http://hdl.handle.net/1887/86622
locations[3].id	pmh:oai:eprints.ucl.ac.uk.OAI2:10056104
locations[3].is_oa	False
locations[3].source.id	https://openalex.org/S4306400024
locations[3].source.issn
locations[3].source.type	repository
locations[3].source.is_oa	False
locations[3].source.issn_l
locations[3].source.is_core	False
locations[3].source.is_in_doaj	False
locations[3].source.display_name	UCL Discovery (University College London)
locations[3].source.host_organization	https://openalex.org/I45129253
locations[3].source.host_organization_name	University College London
locations[3].source.host_organization_lineage	https://openalex.org/I45129253
locations[3].license
locations[3].pdf_url
locations[3].version	submittedVersion
locations[3].raw_type	Article
locations[3].license_id
locations[3].is_accepted	False
locations[3].is_published	False
locations[3].raw_source_name	Nature Genetics , 50 (4) pp. 559-571. (2018)
locations[3].landing_page_url	https://discovery.ucl.ac.uk/id/eprint/10056104/23/Eastwood_ExTexT2D%20Supplementary%20Tables.xlsx
locations[4].id	pmh:oai:escholarship.org/ark:/13030/qt8xr3h10v
locations[4].is_oa	False
locations[4].source.id	https://openalex.org/S4306400115
locations[4].source.issn
locations[4].source.type	repository
locations[4].source.is_oa	False
locations[4].source.issn_l
locations[4].source.is_core	False
locations[4].source.is_in_doaj	False
locations[4].source.display_name	eScholarship (California Digital Library)
locations[4].source.host_organization	https://openalex.org/I2801248553
locations[4].source.host_organization_name	California Digital Library
locations[4].source.host_organization_lineage	https://openalex.org/I2801248553
locations[4].license
locations[4].pdf_url
locations[4].version	submittedVersion
locations[4].raw_type	article
locations[4].license_id
locations[4].is_accepted	False
locations[4].is_published	False
locations[4].raw_source_name	Nature genetics, vol 50, iss 4
locations[4].landing_page_url	https://escholarship.org/uc/item/8xr3h10v
locations[5].id	pmh:oai:opus-zb.helmholtz-muenchen.de:53544
locations[5].is_oa	False
locations[5].source.id	https://openalex.org/S4377196115
locations[5].source.issn
locations[5].source.type	repository
locations[5].source.is_oa	False
locations[5].source.issn_l
locations[5].source.is_core	False
locations[5].source.is_in_doaj	False
locations[5].source.display_name	Site cant be reached
locations[5].source.host_organization
locations[5].source.host_organization_name
locations[5].license
locations[5].pdf_url
locations[5].version	submittedVersion
locations[5].raw_type
locations[5].license_id
locations[5].is_accepted	False
locations[5].is_published	False
locations[5].raw_source_name	Nat. Genet. 50, 559-571 (2018)
locations[5].landing_page_url	https://push-zb.helmholtz-muenchen.de/frontdoor.php?source_opus=53544
locations[6].id	pmh:oai:ora.ox.ac.uk:uuid:6124cd74-58a1-4f15-8306-707b3befd246
locations[6].is_oa	False
locations[6].source.id	https://openalex.org/S4306402636
locations[6].source.issn
locations[6].source.type	repository
locations[6].source.is_oa	False
locations[6].source.issn_l
locations[6].source.is_core	False
locations[6].source.is_in_doaj	False
locations[6].source.display_name	Oxford University Research Archive (ORA) (University of Oxford)
locations[6].source.host_organization	https://openalex.org/I40120149
locations[6].source.host_organization_name	University of Oxford
locations[6].source.host_organization_lineage	https://openalex.org/I40120149
locations[6].license
locations[6].pdf_url
locations[6].version	submittedVersion
locations[6].raw_type	Journal article
locations[6].license_id
locations[6].is_accepted	False
locations[6].is_published	False
locations[6].raw_source_name
locations[6].landing_page_url	https://ora.ox.ac.uk/objects/uuid:6124cd74-58a1-4f15-8306-707b3befd246
locations[7].id	pmh:oai:pure.atira.dk:publications/9a818b34-bc43-468a-ad29-7c478fd81ed5
locations[7].is_oa	True
locations[7].source.id	https://openalex.org/S4306400216
locations[7].source.issn
locations[7].source.type	repository
locations[7].source.is_oa	False
locations[7].source.issn_l
locations[7].source.is_core	False
locations[7].source.is_in_doaj	False
locations[7].source.display_name	Research Portal (King's College London)
locations[7].source.host_organization	https://openalex.org/I183935753
locations[7].source.host_organization_name	King's College London
locations[7].source.host_organization_lineage	https://openalex.org/I183935753
locations[7].license	other-oa
locations[7].pdf_url
locations[7].version	submittedVersion
locations[7].raw_type	article
locations[7].license_id	https://openalex.org/licenses/other-oa
locations[7].is_accepted	False
locations[7].is_published	False
locations[7].raw_source_name	Mahajan , A , Wessel , J , Willems , S M , Zhao , W , Robertson , N R , Chu , A Y , Gan , W , Kitajima , H , Taliun , D , Rayner , N W , Guo , X , Lu , Y , Li , M , Jensen , R A , Hu , Y , Huo , S , Lohman , K K , Zhang , W , Cook , J P , Prins , B P , Flannick , J , Grarup , N , Trubetskoy , V V , Kravic , J , Kim , Y J , Rybin , D V , Yaghootkar , H , Müller-Nurasyid , M , Meidtner , K , Li-Gao , R , Varga , T V , Marten , J , Li , J , Smith , A V , An , P , Ligthart , S , Gustafsson , S , Malerba , G , Demirkan , A , Tajes , J F , Steinthorsdottir , V , Wuttke , M , Lecoeur , C , Preuss , M , Bielak , L F , Graff , M , Highland , H M , Justice , A E , Liu , D J , Marouli , E , Peloso , G M , Warren , H R , ExomeBP Consortium , MAGIC Consortium , GIANT Consortium , Afaq , S , Afzal , S , Ahlqvist , E , Almgren , P , Amin , N , Bang , L B , Bertoni , A G , Bombieri , C , Bork-Jensen , J , Brandslund , I , Brody , J A , Burtt , N P , Canouil , M , Chen , Y-D I , Cho , Y S , Christensen , C , Eastwood , S V , Eckardt , K-U , Fischer , K , Gambaro , G , Giedraitis , V , Grove , M L , de Haan , H G , Hackinger , S , Hai , Y , Han , S , Tybjærg-Hansen , A , Hivert , M-F , Isomaa , B , Jäger , S , Jørgensen , M E , Jørgensen , T , Käräjämäki , A , Kim , B-J , Kim , S S , Koistinen , H A , Kovacs , P , Kriebel , J , Kronenberg , F , Läll , K , Lange , L A , Lee , J-J , Lehne , B , Li , H , Lin , K-H , Linneberg , A , Liu , C-T , Liu , J , Loh , M , Mägi , R , Mamakou , V , McKean-Cowdin , R , Nadkarni , G , Neville , M , Nielsen , S F , Ntalla , I , Peyser , P A , Rathmann , W , Rice , K , Rich , S S , Rode , L , Rolandsson , O , Schönherr , S , Selvin , E , Small , K S , Stančáková , A , Surendran , P , Taylor , K D , Teslovich , T M , Thorand , B , Thorleifsson , G , Tin , A , Tönjes , A , Varbo , A , Witte , D R , Wood , A R , Yajnik , P , Yao , J , Yengo , L , Young , R , Amouyel , P , Boeing , H , Boerwinkle , E , Bottinger , E P , Chowdhury , R , Collins , F S , Dedoussis , G , Dehghan , A , Deloukas , P , Ferrario , M M , Ferrieres , J , Florez , J C , Frossard , P , Gudnason , V , Harris , T B , Heckbert , S R , Howson , J M M , Ingelsson , M , Kathiresan , S , Kee , F , Kuusisto , J , Langenberg , C , Launer , L J , Lindgren , C M , Männistö , S , Meitinger , T , Melander , O , Mohlke , K L , Moitry , M , Morris , A P , Murray , A D , de Mutsert , R , Orho-Melander , M , Owen , K R , Perola , M , Peters , A , Province , M A , Rasheed , A , Ridker , P M , Rivadineira , F , Rosendaal , F R , Rosengren , A H , Salomaa , V , Sheu , W H-H , Sladek , R , Willer , C J , Blüher , M , Butterworth , A S , Chambers , J C , Chasman , D I , Danesh , J , van Duijn , C M , Dupuis , J , Franco , O H , Franks , P W , Froguel , P , Grallert , H , Groop , L , Kardia , S L R , Karpe , F , Kooner , J S , Köttgen , A , Kuulasmaa , K , Laakso , M , Lin , X , Lind , L , Liu , Y , Loos , R J F , Marchini , J , Metspalu , A , Mook-Kanamori , D O , Nordestgaard , B G , Palmer , C N A , Pankow , J S , Pedersen , O , Psaty , B M , Rauramaa , R , Sattar , N , Schulze , M B , Soranzo , N , Spector , T D , Stefansson , K , Stumvoll , M , Thorsteinsdottir , U , Tuomi , T , Tuomilehto , J , Wareham , N J , Wilson , J G , Zeggini , E , Scott , R A , Barroso , I , Frayling , T M , Goodarzi , M O , Meigs , J B , Boehnke , M , Saleheen , D , Morris , A P , Rotter , J I & McCarthy , M I 2018 , ' Refining the accuracy of validated target identification through coding variant fine-mapping in type 2 diabetes ' , Nature Genetics , vol. 50 , no. 4 , pp. 559-571 . https://doi.org/10.1038/s41588-018-0084-1
locations[7].landing_page_url	https://vbn.aau.dk/da/publications/9a818b34-bc43-468a-ad29-7c478fd81ed5
locations[8].id	pmh:oai:pure.eur.nl:openaire_cris_publications/10dccf70-392b-4e11-b3d9-0b3e7ecaeda6
locations[8].is_oa	False
locations[8].source
locations[8].license
locations[8].pdf_url
locations[8].version	submittedVersion
locations[8].raw_type	article
locations[8].license_id
locations[8].is_accepted	False
locations[8].is_published	False
locations[8].raw_source_name	Mahajan , A , Wessel , J , Willems , SM , Zhao , W , Robertson , NR , Chu , AY , Gan , W , Kitajima , H , Taliun , D , Rayner , NW , Guo , XQ , Lu , YC , Li , M , Jensen , RA , Hu , Y , Huo , SF , Lohman , KK , Zhang , WH , Cook , J P , Prins , BP , Flannick , J , Grarup , N , Trubetskoy , VV , Kravic , J , Kim , YJ , Rybin , D V , Yaghootkar , H , Muuller-Nurasyid , M , Meidtner , K , Li-Gao , RF , Varga , TV , Marten , J , Li , J , Smith , AV , An , P , Ligthart , S , Gustafsson , S , Malerba , G , Demirkan , A , Tajes , JF , Steinthorsdottir , V , Wuttke , M , Lecoeur , C , Preuss , M , Bielak , LF , Graff , M , Highland , H M , Justice , AE , Liu , DJ , Marouli , E , Peloso , GM , Warren , HR , Afaq , S , Afzal , S , Ahlqvist , E , Almgren , P , Amin , N , Bang , LB , Bertoni , AG , Bombieri , C , Bork-Jensen , J , Brandslund , I , Brody , JA , Burtt , NP , Canouil , M , Chen , YDI , Cho , YS , Christensen , C , Eastwood , SV , Eckardt , KU , Fischer , K , Gambaro , G , Giedraitis , V , Grove , ML , de Haan , HG , Hackinger , S , Hai , Y , Han , S , Tybjaerg-Hansen , A , Hivert , MF , Isomaa , B , Jager , S , Jorgensen , ME , Jorgensen , T , Karajamaki , A , Kim , BJ , Kim , SS , Koistinen , HA , Kovacs , P , Kriebel , J , Kronenberg , F , Lall , K , Lange , LA , Lee , JJ , Lehne , B , Li , HX , Lin , KH , Linneberg , A , Liu , CT , Liu , J , Loh , M , Magi , R , Mamakou , V , McKean-Cowdin , R , Nadkarni , G , Neville , M , Nielsen , SF , Ntalla , I , Peyser , PA , Rathmann , W , Rice , K , Rich , SS , Rode , L , Rolandsson , O , Schonherr , S , Selvin , E , Small , KS , Stancakova , A , Surendran , P , Taylor , KD , Teslovich , TM , Thorand , B , Thorleifsson , G , Tin , A , Tonjes , A , Varbo , A , Witte , DR , Wood , AR , Yajnik , P , Yao , J , Yengo , L , Young , R , Amouyel , P , Boeing , H , Boerwinkle , E , Bottinger , EP , Chowdhury , R , Collins , FS , Dedoussis , G , Dehghan , A , Deloukas , P , Ferrario , MM , Ferrieres , J , Florez , JC , Frossard , P , Gudnason , V , Harris , TB , Heckbert , SR , Howson , JMM , Ingelsson , M , Kathiresan , S , Kee , F , Kuusisto , J , Langenberg , C , Launer , LJ , Lindgren , CM , Mannisto , S , Meitinger , T , Melander , O , Mohlke , KL , Moitry , M , Morris , AD , Murray , AD , de Mutsert , R , Orho-Melander , M , Owen , KR , Perola , M , Peters , A , Province , MA , Rasheed , A , Ridker , PM , Rivadeneira , F , Rosendaal , FR , Rosengren , AH , Salomaa , V , Sheu , WHH , Sladek , R , Smith , BH , Strauch , K , Uitterlinden , A , Varma , R , Willer , CJ , Bluher , M , Butterworth , AS , Chambers , JC , Chasman , DI , Danesh , J , Duijn , C , Dupuis , J , Franco Duran , OH , Franks , PW , Froguel , P , Grallert , H , Groop , L , Han , BG , Hansen , T , Hattersley , AT , Hayward , C , Ingelsson , E , Kardia , SLR , Karpe , F , Kooner , JS , Kottgen , A , Kuulasmaa , K , Laakso , M , Lin , X , Lind , L , Liu , YM , Loos , RJF , Marchini , J , Metspalu , A , Mook-Kanamori , D , Nordestgaard , BG , Palmer , CNA , Pankow , JS , Pedersen , O , Psaty , BM , Rauramaa , R , Sattar , N , Schulze , MB , Soranzo , N , Spector , TD , Stefansson , K , Stumvoll , M , Thorsteinsdottir , U , Tuomi , T , Tuomilehto , J , Wareham , NJ , Wilson , JG , Zeggini , E , Scott , RA , Barroso , I , Frayling , TM , Goodarzi , MO , Meigs , JB , Boehnke , M , Saleheen , D , Morris , AP , Rotter , JI & McCarthy , MI 2018 , ' Refining the accuracy of validated target identification through coding variant fine-mapping in type 2 diabetes ' , Nature Genetics , vol. 50 , no. 4 , pp. 559-+ . https://doi.org/10.1038/s41588-018-0084-1
locations[8].landing_page_url	https://pure.eur.nl/en/publications/10dccf70-392b-4e11-b3d9-0b3e7ecaeda6
locations[9].id	pmh:oai:www.julkari.fi:10024/136306
locations[9].is_oa	False
locations[9].source.id	https://openalex.org/S4306402058
locations[9].source.issn
locations[9].source.type	repository
locations[9].source.is_oa	False
locations[9].source.issn_l
locations[9].source.is_core	False
locations[9].source.is_in_doaj	False
locations[9].source.display_name	STM:n Hallinnonalan avoin julkaisuarkisto (Julkari)
locations[9].source.host_organization
locations[9].source.host_organization_name
locations[9].license
locations[9].pdf_url
locations[9].version	submittedVersion
locations[9].raw_type	A1
locations[9].license_id
locations[9].is_accepted	False
locations[9].is_published	False
locations[9].raw_source_name	WOS
locations[9].landing_page_url	http://www.julkari.fi/handle/10024/136306
locations[10].id	mag:2801547246
locations[10].is_oa	False
locations[10].source.id	https://openalex.org/S4306534972
locations[10].source.issn
locations[10].source.type	journal
locations[10].source.is_oa	False
locations[10].source.issn_l
locations[10].source.is_core	True
locations[10].source.is_in_doaj	False
locations[10].source.display_name	WOS
locations[10].source.host_organization
locations[10].source.host_organization_name
locations[10].license
locations[10].pdf_url
locations[10].version
locations[10].raw_type
locations[10].license_id
locations[10].is_accepted	False
locations[10].is_published
locations[10].raw_source_name	WOS
locations[10].landing_page_url	https://www.julkari.fi/handle/10024/136306
indexed_in	crossref
authorships[0].author.id	https://openalex.org/A5030469052
authorships[0].author.orcid	https://orcid.org/0000-0001-5585-3420
authorships[0].author.display_name	Anubha Mahajan
authorships[0].author_position	first
authorships[0].raw_author_name	Anubha Mahajan
authorships[0].is_corresponding	False
authorships[1].author.id	https://openalex.org/A5015946989
authorships[1].author.orcid	https://orcid.org/0000-0002-7031-0085
authorships[1].author.display_name	Jennifer Wessel
authorships[1].author_position	middle
authorships[1].raw_author_name	Jennifer Wessel
authorships[1].is_corresponding	False
authorships[2].author.id	https://openalex.org/A5090034402
authorships[2].author.orcid	https://orcid.org/0000-0002-6803-3007
authorships[2].author.display_name	Sara M. Willems
authorships[2].author_position	middle
authorships[2].raw_author_name	Sara M. Willems
authorships[2].is_corresponding	False
authorships[3].author.id	https://openalex.org/A5050421615
authorships[3].author.orcid	https://orcid.org/0000-0001-5103-3871
authorships[3].author.display_name	Zhao Wei
authorships[3].author_position	middle
authorships[3].raw_author_name	Wei Zhao
authorships[3].is_corresponding	False
authorships[4].author.id	https://openalex.org/A5103854218
authorships[4].author.orcid
authorships[4].author.display_name	Neil R. Robertson
authorships[4].author_position	middle
authorships[4].raw_author_name	Neil R. Robertson
authorships[4].is_corresponding	False
authorships[5].author.id	https://openalex.org/A5109627849
authorships[5].author.orcid
authorships[5].author.display_name	Audrey Y. Chu
authorships[5].author_position	middle
authorships[5].raw_author_name	Audrey Y. Chu
authorships[5].is_corresponding	False
authorships[6].author.id	https://openalex.org/A5091883935
authorships[6].author.orcid	https://orcid.org/0000-0002-1270-6495
authorships[6].author.display_name	Wei Gan
authorships[6].author_position	middle
authorships[6].raw_author_name	Wei Gan
authorships[6].is_corresponding	False
authorships[7].author.id	https://openalex.org/A5022853833
authorships[7].author.orcid	https://orcid.org/0000-0001-6545-1177
authorships[7].author.display_name	Hidetoshi Kitajima
authorships[7].author_position	middle
authorships[7].raw_author_name	Hidetoshi Kitajima
authorships[7].is_corresponding	False
authorships[8].author.id	https://openalex.org/A5075177958
authorships[8].author.orcid	https://orcid.org/0000-0002-8874-5044
authorships[8].author.display_name	Daniel Taliun
authorships[8].author_position	middle
authorships[8].raw_author_name	Daniel Taliun
authorships[8].is_corresponding	False
authorships[9].author.id	https://openalex.org/A5108114043
authorships[9].author.orcid
authorships[9].author.display_name	N. William Rayner
authorships[9].author_position	middle
authorships[9].raw_author_name	N. William Rayner
authorships[9].is_corresponding	False
authorships[10].author.id	https://openalex.org/A5087955884
authorships[10].author.orcid	https://orcid.org/0000-0002-5264-5068
authorships[10].author.display_name	Xiuqing Guo
authorships[10].author_position	middle
authorships[10].raw_author_name	Xiuqing Guo
authorships[10].is_corresponding	False
authorships[11].author.id	https://openalex.org/A5113809941
authorships[11].author.orcid
authorships[11].author.display_name	Yingchang Lu
authorships[11].author_position	middle
authorships[11].raw_author_name	Yingchang Lu
authorships[11].is_corresponding	False
authorships[12].author.id	https://openalex.org/A5100404485
authorships[12].author.orcid	https://orcid.org/0000-0002-3839-0281
authorships[12].author.display_name	Man Li
authorships[12].author_position	middle
authorships[12].raw_author_name	Man Li
authorships[12].is_corresponding	False
authorships[13].author.id	https://openalex.org/A5110012283
authorships[13].author.orcid
authorships[13].author.display_name	Richard A. Jensen
authorships[13].author_position	middle
authorships[13].raw_author_name	Richard A. Jensen
authorships[13].is_corresponding	False
authorships[14].author.id	https://openalex.org/A5107062676
authorships[14].author.orcid	https://orcid.org/0009-0006-1274-7111
authorships[14].author.display_name	Yao Hu
authorships[14].author_position	middle
authorships[14].raw_author_name	Yao Hu
authorships[14].is_corresponding	False
authorships[15].author.id	https://openalex.org/A5014488632
authorships[15].author.orcid	https://orcid.org/0000-0002-5040-6004
authorships[15].author.display_name	Shaofeng Huo
authorships[15].author_position	middle
authorships[15].raw_author_name	Shaofeng Huo
authorships[15].is_corresponding	False
authorships[16].author.id	https://openalex.org/A5103396231
authorships[16].author.orcid
authorships[16].author.display_name	Kurt K. Lohman
authorships[16].author_position	middle
authorships[16].raw_author_name	Kurt K. Lohman
authorships[16].is_corresponding	False
authorships[17].author.id	https://openalex.org/A5100370305
authorships[17].author.orcid	https://orcid.org/0000-0002-0985-3830
authorships[17].author.display_name	Weihua Zhang
authorships[17].author_position	middle
authorships[17].raw_author_name	Weihua Zhang
authorships[17].is_corresponding	False
authorships[18].author.id	https://openalex.org/A5081927817
authorships[18].author.orcid	https://orcid.org/0000-0001-9927-5394
authorships[18].author.display_name	James P. Cook
authorships[18].author_position	middle
authorships[18].raw_author_name	James P. Cook
authorships[18].is_corresponding	False
authorships[19].author.id	https://openalex.org/A5011533631
authorships[19].author.orcid	https://orcid.org/0000-0001-5774-034X
authorships[19].author.display_name	Bram P. Prins
authorships[19].author_position	middle
authorships[19].raw_author_name	Bram Peter Prins
authorships[19].is_corresponding	False
authorships[20].author.id	https://openalex.org/A5011512882
authorships[20].author.orcid	https://orcid.org/0000-0002-3618-795X
authorships[20].author.display_name	Jason Flannick
authorships[20].author_position	middle
authorships[20].raw_author_name	Jason Flannick
authorships[20].is_corresponding	False
authorships[21].author.id	https://openalex.org/A5064416982
authorships[21].author.orcid	https://orcid.org/0000-0001-5526-1070
authorships[21].author.display_name	Niels Grarup
authorships[21].author_position	middle
authorships[21].raw_author_name	Niels Grarup
authorships[21].is_corresponding	False
authorships[22].author.id	https://openalex.org/A5052373620
authorships[22].author.orcid	https://orcid.org/0000-0003-3074-728X
authorships[22].author.display_name	Vassily Trubetskoy
authorships[22].author_position	middle
authorships[22].raw_author_name	Vassily Vladimirovich Trubetskoy
authorships[22].is_corresponding	False
authorships[23].author.id	https://openalex.org/A5061496707
authorships[23].author.orcid
authorships[23].author.display_name	Jasmina Kravić
authorships[23].author_position	middle
authorships[23].raw_author_name	Jasmina Kravic
authorships[23].is_corresponding	False
authorships[24].author.id	https://openalex.org/A5100387373
authorships[24].author.orcid	https://orcid.org/0000-0002-4132-4437
authorships[24].author.display_name	Young Jin Kim
authorships[24].author_position	middle
authorships[24].raw_author_name	Young Jin Kim
authorships[24].is_corresponding	False
authorships[25].author.id	https://openalex.org/A5025681609
authorships[25].author.orcid	https://orcid.org/0000-0002-3657-4829
authorships[25].author.display_name	Denis Rybin
authorships[25].author_position	middle
authorships[25].raw_author_name	Denis V. Rybin
authorships[25].is_corresponding	False
authorships[26].author.id	https://openalex.org/A5069936360
authorships[26].author.orcid	https://orcid.org/0000-0001-9672-9477
authorships[26].author.display_name	Hanieh Yaghootkar
authorships[26].author_position	middle
authorships[26].raw_author_name	Hanieh Yaghootkar
authorships[26].is_corresponding	False
authorships[27].author.id	https://openalex.org/A5036197337
authorships[27].author.orcid	https://orcid.org/0000-0003-3793-5910
authorships[27].author.display_name	Martina Müller‐Nurasyid
authorships[27].author_position	middle
authorships[27].raw_author_name	Martina Mueller-Nurasyid
authorships[27].is_corresponding	False
authorships[28].author.id	https://openalex.org/A5051699059
authorships[28].author.orcid	https://orcid.org/0000-0001-5810-4062
authorships[28].author.display_name	Karina Meidtner
authorships[28].author_position	middle
authorships[28].raw_author_name	Karina Meidtner
authorships[28].is_corresponding	False
authorships[29].author.id	https://openalex.org/A5069528720
authorships[29].author.orcid	https://orcid.org/0000-0003-0650-1351
authorships[29].author.display_name	Ruifang Li‐Gao
authorships[29].author_position	middle
authorships[29].raw_author_name	Ruifang Li-Gao
authorships[29].is_corresponding	False
authorships[30].author.id	https://openalex.org/A5087971169
authorships[30].author.orcid	https://orcid.org/0000-0002-2383-699X
authorships[30].author.display_name	Tibor V. Varga
authorships[30].author_position	middle
authorships[30].raw_author_name	Tibor V. Varga
authorships[30].is_corresponding	False
authorships[31].author.id	https://openalex.org/A5067614298
authorships[31].author.orcid	https://orcid.org/0000-0001-6916-2014
authorships[31].author.display_name	Jonathan Marten
authorships[31].author_position	middle
authorships[31].raw_author_name	Jonathan Marten
authorships[31].is_corresponding	False
authorships[32].author.id	https://openalex.org/A5101963258
authorships[32].author.orcid	https://orcid.org/0009-0001-2404-1953
authorships[32].author.display_name	Li Jin
authorships[32].author_position	middle
authorships[32].raw_author_name	Jin Li
authorships[32].is_corresponding	False
authorships[33].author.id	https://openalex.org/A5101667951
authorships[33].author.orcid	https://orcid.org/0000-0003-1942-5845
authorships[33].author.display_name	Albert V. Smith
authorships[33].author_position	middle
authorships[33].raw_author_name	Albert Vernon Smith
authorships[33].is_corresponding	False
authorships[34].author.id	https://openalex.org/A5060120489
authorships[34].author.orcid	https://orcid.org/0000-0002-4995-728X
authorships[34].author.display_name	Ping An
authorships[34].author_position	middle
authorships[34].raw_author_name	Ping An
authorships[34].is_corresponding	False
authorships[35].author.id	https://openalex.org/A5109737702
authorships[35].author.orcid
authorships[35].author.display_name	Symen Ligthart
authorships[35].author_position	middle
authorships[35].raw_author_name	Symen Ligthart
authorships[35].is_corresponding	False
authorships[36].author.id	https://openalex.org/A5016001130
authorships[36].author.orcid	https://orcid.org/0000-0001-5894-0351
authorships[36].author.display_name	Stefan Gustafsson
authorships[36].author_position	middle
authorships[36].raw_author_name	Stefan Gustafsson
authorships[36].is_corresponding	False
authorships[37].author.id	https://openalex.org/A5037463942
authorships[37].author.orcid	https://orcid.org/0000-0001-8705-8560
authorships[37].author.display_name	Giovanni Malerba
authorships[37].author_position	middle
authorships[37].raw_author_name	Giovanni Malerba
authorships[37].is_corresponding	False
authorships[38].author.id	https://openalex.org/A5001432320
authorships[38].author.orcid	https://orcid.org/0000-0002-7546-0867
authorships[38].author.display_name	Ayşe Demirkan
authorships[38].author_position	middle
authorships[38].raw_author_name	Ayse Demirkan
authorships[38].is_corresponding	False
authorships[39].author.id	https://openalex.org/A5014362762
authorships[39].author.orcid
authorships[39].author.display_name	Juan Fernández Tajes
authorships[39].author_position	middle
authorships[39].raw_author_name	Juan Fernandez Tajes
authorships[39].is_corresponding	False
authorships[40].author.id	https://openalex.org/A5069107150
authorships[40].author.orcid	https://orcid.org/0000-0003-1846-6274
authorships[40].author.display_name	Valgerður Steinthórsdóttir
authorships[40].author_position	middle
authorships[40].raw_author_name	Valgerdur Steinthorsdottir
authorships[40].is_corresponding	False
authorships[41].author.id	https://openalex.org/A5030007136
authorships[41].author.orcid	https://orcid.org/0000-0003-3420-5082
authorships[41].author.display_name	Matthias Wuttke
authorships[41].author_position	middle
authorships[41].raw_author_name	Matthias Wuttke
authorships[41].is_corresponding	False
authorships[42].author.id	https://openalex.org/A5019696372
authorships[42].author.orcid	https://orcid.org/0000-0003-0075-6417
authorships[42].author.display_name	Cécile Lecœur
authorships[42].author_position	middle
authorships[42].raw_author_name	Cecile Lecoeur
authorships[42].is_corresponding	False
authorships[43].author.id	https://openalex.org/A5076419751
authorships[43].author.orcid	https://orcid.org/0000-0001-5266-8465
authorships[43].author.display_name	Michael Preuß
authorships[43].author_position	middle
authorships[43].raw_author_name	Michael Preuss
authorships[43].is_corresponding	False
authorships[44].author.id	https://openalex.org/A5078166854
authorships[44].author.orcid	https://orcid.org/0000-0002-3443-8030
authorships[44].author.display_name	Lawrence F. Bielak
authorships[44].author_position	middle
authorships[44].raw_author_name	Lawrence F. Bielak
authorships[44].is_corresponding	False
authorships[45].author.id	https://openalex.org/A5100801031
authorships[45].author.orcid
authorships[45].author.display_name	Marielisa Graff
authorships[45].author_position	middle
authorships[45].raw_author_name	Marielisa Graff
authorships[45].is_corresponding	False
authorships[46].author.id	https://openalex.org/A5086859091
authorships[46].author.orcid	https://orcid.org/0000-0002-3583-8239
authorships[46].author.display_name	Heather M. Highland
authorships[46].author_position	middle
authorships[46].raw_author_name	Heather M. Highland
authorships[46].is_corresponding	False
authorships[47].author.id	https://openalex.org/A5061974826
authorships[47].author.orcid	https://orcid.org/0000-0002-8903-8712
authorships[47].author.display_name	Anne E. Justice
authorships[47].author_position	middle
authorships[47].raw_author_name	Anne E. Justice
authorships[47].is_corresponding	False
authorships[48].author.id	https://openalex.org/A5044571272
authorships[48].author.orcid	https://orcid.org/0000-0001-6553-858X
authorships[48].author.display_name	Dajiang J. Liu
authorships[48].author_position	middle
authorships[48].raw_author_name	Dajiang J. Liu
authorships[48].is_corresponding	False
authorships[49].author.id	https://openalex.org/A5088430098
authorships[49].author.orcid	https://orcid.org/0000-0001-6179-1609
authorships[49].author.display_name	Eirini Marouli
authorships[49].author_position	middle
authorships[49].raw_author_name	Eirini Marouli
authorships[49].is_corresponding	False
has_content.pdf	True
has_content.grobid_xml	True
is_paratext	False
open_access.is_oa	True
open_access.oa_url	https://www.biorxiv.org/content/biorxiv/early/2017/12/13/144410.full.pdf
open_access.oa_status	green
open_access.any_repository_has_fulltext	False
created_date	2025-10-10T00:00:00
display_name	Refining the accuracy of validated target identification through coding variant fine-mapping in type 2 diabetes
has_fulltext	True
is_retracted	False
updated_date	2025-11-06T03:46:38.306776
primary_topic.id	https://openalex.org/T10862
primary_topic.field.id	https://openalex.org/fields/17
primary_topic.field.display_name	Computer Science
primary_topic.score	0.9434000253677368
primary_topic.domain.id	https://openalex.org/domains/3
primary_topic.domain.display_name	Physical Sciences
primary_topic.subfield.id	https://openalex.org/subfields/1702
primary_topic.subfield.display_name	Artificial Intelligence
primary_topic.display_name	AI in cancer detection
cited_by_count	0
locations_count	11
best_oa_location.id	doi:10.1101/144410
best_oa_location.is_oa	True
best_oa_location.source.id	https://openalex.org/S4306402567
best_oa_location.source.issn
best_oa_location.source.type	repository
best_oa_location.source.is_oa	False
best_oa_location.source.issn_l
best_oa_location.source.is_core	False
best_oa_location.source.is_in_doaj	False
best_oa_location.source.display_name	bioRxiv (Cold Spring Harbor Laboratory)
best_oa_location.source.host_organization	https://openalex.org/I2750212522
best_oa_location.source.host_organization_name	Cold Spring Harbor Laboratory
best_oa_location.source.host_organization_lineage	https://openalex.org/I2750212522
best_oa_location.license	other-oa
best_oa_location.pdf_url	https://www.biorxiv.org/content/biorxiv/early/2017/12/13/144410.full.pdf
best_oa_location.version	acceptedVersion
best_oa_location.raw_type	posted-content
best_oa_location.license_id	https://openalex.org/licenses/other-oa
best_oa_location.is_accepted	True
best_oa_location.is_published	False
best_oa_location.raw_source_name
best_oa_location.landing_page_url	https://doi.org/10.1101/144410
primary_location.id	doi:10.1101/144410
primary_location.is_oa	True
primary_location.source.id	https://openalex.org/S4306402567
primary_location.source.issn
primary_location.source.type	repository
primary_location.source.is_oa	False
primary_location.source.issn_l
primary_location.source.is_core	False
primary_location.source.is_in_doaj	False
primary_location.source.display_name	bioRxiv (Cold Spring Harbor Laboratory)
primary_location.source.host_organization	https://openalex.org/I2750212522
primary_location.source.host_organization_name	Cold Spring Harbor Laboratory
primary_location.source.host_organization_lineage	https://openalex.org/I2750212522
primary_location.license	other-oa
primary_location.pdf_url	https://www.biorxiv.org/content/biorxiv/early/2017/12/13/144410.full.pdf
primary_location.version	acceptedVersion
primary_location.raw_type	posted-content
primary_location.license_id	https://openalex.org/licenses/other-oa
primary_location.is_accepted	True
primary_location.is_published	False
primary_location.raw_source_name
primary_location.landing_page_url	https://doi.org/10.1101/144410
publication_date	2017-05-31
publication_year	2017
referenced_works	https://openalex.org/W1989970381, https://openalex.org/W2169189827, https://openalex.org/W2045017910, https://openalex.org/W2148749248, https://openalex.org/W2052344684, https://openalex.org/W2039153962, https://openalex.org/W2047783882, https://openalex.org/W2159417227, https://openalex.org/W1907868928, https://openalex.org/W2177538943, https://openalex.org/W2289032004, https://openalex.org/W2461793432, https://openalex.org/W2082704080, https://openalex.org/W2405153319, https://openalex.org/W2055830789, https://openalex.org/W2259892741, https://openalex.org/W1990430353, https://openalex.org/W2132297623, https://openalex.org/W1972786933, https://openalex.org/W2511515754, https://openalex.org/W2104549677, https://openalex.org/W2147215182, https://openalex.org/W2121351699, https://openalex.org/W2132484969, https://openalex.org/W1996549380, https://openalex.org/W2017511982, https://openalex.org/W1966549856, https://openalex.org/W2012332098, https://openalex.org/W2581307619, https://openalex.org/W1533942137, https://openalex.org/W2186803051, https://openalex.org/W1527649416, https://openalex.org/W2159636096, https://openalex.org/W2537556928, https://openalex.org/W2009918043, https://openalex.org/W2256016639, https://openalex.org/W2160995259, https://openalex.org/W2106305501, https://openalex.org/W2551499720, https://openalex.org/W2022275249, https://openalex.org/W2148864810, https://openalex.org/W2086062071, https://openalex.org/W52905296, https://openalex.org/W2008047653, https://openalex.org/W2088486634, https://openalex.org/W2520572981, https://openalex.org/W2087036932, https://openalex.org/W2081067541, https://openalex.org/W2107121611, https://openalex.org/W1992436001, https://openalex.org/W2111307685, https://openalex.org/W2115193738, https://openalex.org/W2133520037, https://openalex.org/W2557013833, https://openalex.org/W2047031218, https://openalex.org/W2152885121, https://openalex.org/W2155449815
referenced_works_count	57
abstract_inverted_index.(	61
abstract_inverted_index.2	39
abstract_inverted_index.a	9, 87
abstract_inverted_index.p	62
abstract_inverted_index.).	65
abstract_inverted_index.13	215
abstract_inverted_index.16	68, 197
abstract_inverted_index.37	170, 218
abstract_inverted_index.38	57
abstract_inverted_index.40	50, 100
abstract_inverted_index.At	168
abstract_inverted_index.Of	66
abstract_inverted_index.We	31, 80
abstract_inverted_index.an	234
abstract_inverted_index.at	196, 214, 263
abstract_inverted_index.by	104
abstract_inverted_index.in	90, 145, 165
abstract_inverted_index.is	16, 249
abstract_inverted_index.no	114
abstract_inverted_index.of	1, 25, 46, 98, 136, 160, 216, 246, 254, 257
abstract_inverted_index.on	18, 28, 251
abstract_inverted_index.to	12, 139, 154, 233
abstract_inverted_index.we	112, 125, 174, 177
abstract_inverted_index.(at	56
abstract_inverted_index.T2D	131
abstract_inverted_index.and	43, 111, 133, 150, 210, 227, 259
abstract_inverted_index.are	102, 191
abstract_inverted_index.but	15
abstract_inverted_index.for	5, 36, 116, 156, 172, 193
abstract_inverted_index.led	232
abstract_inverted_index.the	22, 99, 157, 169, 185, 194, 217, 220, 238, 242, 255
abstract_inverted_index.two	82
abstract_inverted_index.ANKH	204
abstract_inverted_index.GWAS	127
abstract_inverted_index.POC5	202
abstract_inverted_index.data	35, 128
abstract_inverted_index.find	113
abstract_inverted_index.five	97
abstract_inverted_index.from	129
abstract_inverted_index.have	231
abstract_inverted_index.make	81
abstract_inverted_index.odds	121
abstract_inverted_index.only	96
abstract_inverted_index.over	93
abstract_inverted_index.size	92
abstract_inverted_index.that	188
abstract_inverted_index.type	38
abstract_inverted_index.used	126
abstract_inverted_index.with	106, 119, 149
abstract_inverted_index.−7	64
abstract_inverted_index.(T2D)	41
abstract_inverted_index.PLCB3	208
abstract_inverted_index.WSCD2	206
abstract_inverted_index.cases	42, 132
abstract_inverted_index.could	230
abstract_inverted_index.known	74
abstract_inverted_index.loci)	58
abstract_inverted_index.loci,	219
abstract_inverted_index.loci.	265
abstract_inverted_index.minor	107
abstract_inverted_index.novel	70, 199
abstract_inverted_index.ratio	122
abstract_inverted_index.risk.	30
abstract_inverted_index.route	11
abstract_inverted_index.study	77
abstract_inverted_index.their	146
abstract_inverted_index.these	141
abstract_inverted_index.those	26
abstract_inverted_index.trait	162
abstract_inverted_index.under	184
abstract_inverted_index.which	173
abstract_inverted_index.(GWAS)	78
abstract_inverted_index.50,160	130
abstract_inverted_index.81,412	37
abstract_inverted_index.First,	85
abstract_inverted_index.PNPLA3	211
abstract_inverted_index.allele	108
abstract_inverted_index.causal	23, 192
abstract_inverted_index.coding	2, 33, 52, 143, 166, 189, 222, 258
abstract_inverted_index.direct	10
abstract_inverted_index.driven	103
abstract_inverted_index.exons.	167
abstract_inverted_index.global	158
abstract_inverted_index.impact	24
abstract_inverted_index.model)	187
abstract_inverted_index.naïve	228
abstract_inverted_index.offers	8
abstract_inverted_index.sample	91
abstract_inverted_index.these,	67
abstract_inverted_index.>80%	183
abstract_inverted_index.<5%,	110
abstract_inverted_index.370,832	44
abstract_inverted_index.465,272	134
abstract_inverted_index.Second,	124
abstract_inverted_index.account	155
abstract_inverted_index.allelic	120
abstract_inverted_index.complex	6, 161
abstract_inverted_index.correct	252
abstract_inverted_index.despite	86
abstract_inverted_index.disease	29
abstract_inverted_index.diverse	47
abstract_inverted_index.mapping	72
abstract_inverted_index.outside	73
abstract_inverted_index.signal.	243
abstract_inverted_index.signals	55, 101, 164, 171, 200
abstract_inverted_index.support	180
abstract_inverted_index.targets	248
abstract_inverted_index.variant	3, 34, 53
abstract_inverted_index.without	151
abstract_inverted_index.Accurate	244
abstract_inverted_index.European	137
abstract_inverted_index.However,	213
abstract_inverted_index.analysis	229
abstract_inverted_index.ancestry	138
abstract_inverted_index.context,	148
abstract_inverted_index.controls	45, 135
abstract_inverted_index.diabetes	40
abstract_inverted_index.diseases	7
abstract_inverted_index.distinct	51
abstract_inverted_index.effector	239
abstract_inverted_index.efforts,	95
abstract_inverted_index.evidence	115
abstract_inverted_index.fine-map	140
abstract_inverted_index.increase	89
abstract_inverted_index.insight,	14
abstract_inverted_index.leads”	226
abstract_inverted_index.mediated	261
abstract_inverted_index.previous	94
abstract_inverted_index.reaching	59
abstract_inverted_index.regional	147
abstract_inverted_index.signals.	79
abstract_inverted_index.variants	27, 105, 118, 144, 190, 223
abstract_inverted_index.“false	225
abstract_inverted_index.>1.29.	123
abstract_inverted_index.ancestry,	48
abstract_inverted_index.attempted	175
abstract_inverted_index.dependent	17, 250
abstract_inverted_index.erroneous	235
abstract_inverted_index.frequency	109
abstract_inverted_index.important	83
abstract_inverted_index.inference	20, 236
abstract_inverted_index.involving	201
abstract_inverted_index.mediating	241
abstract_inverted_index.regarding	237
abstract_inverted_index.represent	69, 224
abstract_inverted_index.threefold	88
abstract_inverted_index.validated	247
abstract_inverted_index.weighting	153
abstract_inverted_index.(including	198
abstract_inverted_index.(posterior	181
abstract_inverted_index.additional	152
abstract_inverted_index.aggregated	32
abstract_inverted_index.associated	142, 221, 264
abstract_inverted_index.biological	13
abstract_inverted_index.concerning	21
abstract_inverted_index.convincing	179
abstract_inverted_index.enrichment	159
abstract_inverted_index.mechanisms	262
abstract_inverted_index.non-coding	260
abstract_inverted_index.transcript	240
abstract_inverted_index.<2.2×10	63
abstract_inverted_index.appropriate	19
abstract_inverted_index.association	54, 76, 163, 195
abstract_inverted_index.demonstrate	178
abstract_inverted_index.genome-wide	75
abstract_inverted_index.identifying	49
abstract_inverted_index.p.His36Arg,	203
abstract_inverted_index.probability	182
abstract_inverted_index.associations	4, 71
abstract_inverted_index.contribution	256
abstract_inverted_index.p.Arg187Gln,	205
abstract_inverted_index.p.Ser778Leu,	209
abstract_inverted_index.p.Thr113Ile,	207
abstract_inverted_index.significance	60
abstract_inverted_index.fine-mapping,	176
abstract_inverted_index.low-frequency	117
abstract_inverted_index.observations.	84
abstract_inverted_index.p.Ile148Met).	212
abstract_inverted_index.specification	253
abstract_inverted_index.Identification	0
abstract_inverted_index.identification	245
abstract_inverted_index.“annotation-weighted”	186
cited_by_percentile_year
countries_distinct_count	0
institutions_distinct_count	240
citation_normalized_percentile.value	0.2214543
citation_normalized_percentile.is_in_top_1_percent	False
citation_normalized_percentile.is_in_top_10_percent	False