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Meta-analysis identifies 13 new loci associated with waist-hip ratio and reveals sexual dimorphism in the genetic basis of fat distribution

Iris M. Heid, +355 more
- 01 Nov 2010 - 
- Vol. 42, Iss: 11, pp 949-960
TLDR
A meta-analysis of genome-wide association studies for WHR adjusted for body mass index provides evidence for multiple loci that modulate body fat distribution independent of overall adiposity and reveal strong gene-by-sex interactions.
Abstract
Waist-hip ratio (WHR) is a measure of body fat distribution and a predictor of metabolic consequences independent of overall adiposity. WHR is heritable, but few genetic variants influencing this trait have been identified. We conducted a meta-analysis of 32 genome-wide association studies for WHR adjusted for body mass index (comprising up to 77,167 participants), following up 16 loci in an additional 29 studies (comprising up to 113,636 subjects). We identified 13 new loci in or near RSPO3, VEGFA, TBX15-WARS2, NFE2L3, GRB14, DNM3-PIGC, ITPR2-SSPN, LY86, HOXC13, ADAMTS9, ZNRF3-KREMEN1, NISCH-STAB1 and CPEB4 (P = 1.9 × 10⁻⁹ to P = 1.8 × 10⁻⁴⁰) and the known signal at LYPLAL1. Seven of these loci exhibited marked sexual dimorphism, all with a stronger effect on WHR in women than men (P for sex difference = 1.9 × 10⁻³ to P = 1.2 × 10⁻¹³). These findings provide evidence for multiple loci that modulate body fat distribution independent of overall adiposity and reveal strong gene-by-sex interactions.

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Meta-analysis identifies 13 new loci associated with waist-hip
ratio and reveals sexual dimorphism in the genetic basis of fat
distribution
Iris M Heid
1,2,214
, Anne U Jackson
3,214
, Joshua C Randall
4,214
, Thomas W Winkler
1,214
, Lu
Qi
5,6,214
, Valgerdur Steinthorsdottir
7,214
, Gudmar Thorleifsson
7,214
, M Carola Zillikens
8,9
,
Elizabeth K Speliotes
10,11
, Reedik Mägi
4
, Tsegaselassie Workalemahu
5
, Charles C White
12
,
Nabila Bouatia-Naji
13,14
, Tamara B Harris
15
, Sonja I Berndt
16
, Erik Ingelsson
17
, Cristen J
Willer
3
, Michael N Weedon
18
, Jian’An Luan
19
, Sailaja Vedantam
10,20
, Tõnu Esko
21,23
,
Tuomas O Kilpeläinen
19
, Zoltán Kutalik
24,25
, Shengxu Li
19
, Keri L Monda
26
, Anna L
Dixon
27
, Christopher C Holmes
28,29
, Lee M Kaplan
11,30,31
, Liming Liang
32,33
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, Miriam F Moffatt
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, Eric E Schadt
37,38
, Krina T
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3
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, Andrew R Wood
18
, MAGIC
42
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Europe PMC Funders Group
Author Manuscript
Nat Genet. Author manuscript; available in PMC 2011 May 01.
Published in final edited form as:
Nat Genet
. 2010 November ; 42(11): 949–960. doi:10.1038/ng.685.
© 2010 Nature America, Inc. All rights reserved.
Europe PMC Funders Author Manuscripts Europe PMC Funders Author Manuscripts

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, Alan L James
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, Michel Marre
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Cupples
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, Ruth J F Loos
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, Mark I McCarthy
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Caroline S Fox
213,215
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1
Regensburg University Medical Center, Department of Epidemiology and Preventive Medicine,
Regensburg, Germany.
2
Institute of Epidemiology, Helmholtz Zentrum München-German
Research Center for Environmental Health, Neuherberg, Germany.
3
Department of Biostatistics,
Center for Statistical Genetics, University of Michigan, Ann Arbor, Michigan, USA.
4
Wellcome
Trust Centre for Human Genetics, University of Oxford, Oxford, UK.
5
Department of Nutrition,
Harvard School of Public Health, Boston, Massachusetts, USA.
6
Channing Laboratory,
Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston,
Massachusetts, USA.
7
deCODE Genetics, Reykjavik, Iceland.
8
Department of Internal Medicine,
Erasmus Medical Center (MC), Rotterdam, The Netherlands.
9
Netherlands Genomics Initiative
(NGI)-sponsored Netherlands Consortium for Healthy Aging (NCHA), Rotterdam, The
Netherlands.
10
Metabolism Initiative and Program in Medical and Population Genetics, Broad
Institute, Cambridge, Massachusetts, USA.
11
Division of Gastroenterology, Massachusetts
General Hospital, Boston, Massachusetts, USA.
12
Department of Biostatistics, Boston University
School of Public Health, Boston, Massachusetts, USA.
13
Centre National de la Recherche
Scientifique (CNRS), UMR8199-IBL-Institut Pasteur de Lille, Lille, France.
14
University Lille Nord
de France, Lille, France.
15
Laboratory of Epidemiology, Demography, Biometry, National Institute
on Aging, National Institutes of Health, Bethesda, Maryland, USA.
16
Division of Cancer
Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Department
of Health and Human Services, Bethesda, Maryland, USA.
17
Department of Medical
Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden.
18
Genetics of Complex
Traits, Peninsula College of Medicine and Dentistry, University of Exeter, Exeter, UK.
19
Medical
Research Council (MRC) Epidemiology Unit, Institute of Metabolic Science, Addenbrooke’s
Hospital, Cambridge, UK.
20
Divisions of Genetics and Endocrinology and Program in Genomics,
Heid et al.
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Children’s Hospital, Boston, Massachusetts, USA.
21
Estonian Genome Center, University of
Tartu, Tartu, Estonia.
22
Estonian Biocenter, Tartu, Estonia.
23
Institute of Molecular and Cell
Biology, University of Tartu, Tartu, Estonia.
24
Department of Medical Genetics, University of
Lausanne, Lausanne, Switzerland.
25
Swiss Institute of Bioinformatics, Lausanne, Switzerland.
26
Department of Epidemiology, School of Public Health, University of North Carolina at Chapel
Hill, Chapel Hill, North Carolina, USA.
27
Department of Pharmacy and Pharmacology, University
of Bath, Bath, UK.
28
MRC Harwell, Harwell Science and Innovation Campus, Oxfordshire, UK.
29
Department of Statistics, University of Oxford, Oxford, UK.
30
Harvard Medical School, Boston,
Massachusetts, USA.
31
Massachusetts General Hospital (MGH) Weight Center, Massachusetts
General Hospital, Boston, Massachusetts, USA.
32
Department of Epidemiology, Harvard School
of Public Health, Boston, Massachusetts, USA.
33
Department of Biostatistics, Harvard School of
Public Health, Boston, Massachusetts, USA.
34
Human Genetics, Leiden University Medical
Center, Leiden, The Netherlands.
35
National Heart and Lung Institute, Imperial College London,
London, UK.
36
Merck Research Laboratories, Merck & Co., Inc., Boston, Massachusetts, USA.
37
Pacific Biosciences, Menlo Park, California, USA.
38
Sage Bionetworks, Seattle, Washington,
USA.
39
Genetic and Genomic Epidemiology Unit, Wellcome Trust Centre for Human Genetics,
Oxford, UK.
40
Department of Genetics, Washington University School of Medicine, St. Louis,
Missouri, USA.
41
Wellcome Trust Sanger Institute, Hinxton, Cambridge, UK.
42
On behalf of the
MAGIC (Meta-Analyses of Glucose and Insulin-related traits Consortium) investigators.
43
Department of Epidemiology, Erasmus MC, Rotterdam, The Netherlands.
44
University of
Melbourne, Parkville, Australia.
45
Department of Primary Industries, Melbourne, Victoria,
Australia.
46
Montreal Heart Institute, Montreal, Quebec, Canada.
47
Department of Medicine,
Université de Montréal, Montreal, Quebec, Canada.
48
Department of Twin Research and Genetic
Epidemiology, King’s College London, London, UK.
49
Neurogenetics Laboratory, Queensland
Institute of Medical Research, Queensland, Australia.
50
Center for Human Genetic Research,
Massachusetts General Hospital, Boston, Massachusetts, USA.
51
The Broad Institute of Harvard
and Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts, USA.
52
Department of Psychiatry, Harvard Medical School, Boston, Massachusetts, USA.
53
Icelandic
Heart Association, Kopavogur, Iceland.
54
University of Iceland, Reykjavik, Iceland.
55
Queensland
Statistical Genetics Laboratory, Queensland Institute of Medical Research, Queensland,
Australia.
56
Program in Medical and Population Genetics, Broad Institute of Harvard and MIT,
Cambridge, Massachusetts, USA.
57
Department of Molecular Biology, Massachusetts General
Hospital, Boston, Massachusetts, USA.
58
Hudson Alpha Institute for Biotechnology, Huntsville,
Alabama, USA.
59
Department of Epidemiology and Biostatistics, School of Public Health, Faculty
of Medicine, Imperial College London, London, UK.
60
Department of Medicine, University of
Washington, Seattle, Washington, USA.
61
Cardiovascular Health Research Unit, University of
Washington, Seattle, Washington, USA.
62
MRC Human Genetics Unit, Institute for Genetics and
Molecular Medicine, Western General Hospital, Edinburgh, Scotland, UK.
63
Department of
Neurology, Boston University School of Medicine, Boston, Massachusetts, USA.
64
Department of
Biological Psychology, Vrije Universiteit (VU) University Amsterdam, Amsterdam, The
Netherlands.
65
Department of Genetics and Pathology, Rudbeck Laboratory, University of
Uppsala, Uppsala, Sweden.
66
Department of Cancer Research and Molecular Medicine, Faculty
of Medicine, Norwegian University of Science and Technology (NTNU), Trondheim, Norway.
67
Clinical Pharmacology, William Harvey Research Institute, Barts and The London School of
Medicine and Dentistry, Queen Mary, University of London, London, UK.
68
Clinical Pharmacology
and Barts and The London Genome Centre, William Harvey Research Institute, Barts and The
London School of Medicine and Dentistry, Queen Mary University of London, London UK.
69
Institute of Health Sciences, University of Oulu, Oulu, Finland.
70
Biocenter Oulu, University of
Oulu, Oulu, Finland.
71
Department of Medicine, Stanford University School of Medicine, Stanford,
California, USA.
72
Division of Genetic Epidemiology, Department of Medical Genetics, Molecular
and Clinical Pharmacology, Innsbruck Medical University, Innsbruck, Austria.
73
Department of
Heid et al.
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Biostatistics, University of Washington, Seattle, Washington, USA.
74
Andrija Stampar School of
Public Health, Medical School, University of Zagreb, Zagreb, Croatia.
75
Gen-Info Ltd, Zagreb,
Croatia.
76
Oxford Centre for Diabetes, Endocrinology and Metabolism, University of Oxford,
Oxford, UK.
77
Institute for Molecular Medicine Finland (FIMM), University of Helsinki, Helsinki,
Finland.
78
National Institute for Health and Welfare, Department of Chronic Disease Prevention,
Unit of Public Health Genomics, Helsinki, Finland.
79
Istituto di Neurogenetica e
Neurofarmacologia del CNR, Monserrato, Cagliari, Italy.
80
Interfaculty Institute for Genetics and
Functional Genomics, Ernst-Moritz-Arndt-University Greifswald, Greifswald, Germany.
81
National
Human Genome Research Institute, National Institutes of Health, Bethesda, Maryland, USA.
82
Department of Epidemiology, German Institute of Human Nutrition Potsdam-Rehbruecke,
Nuthetal, Germany.
83
Department of Genetics, University of North Carolina, Chapel Hill, North
Carolina, USA.
84
Hagedorn Research Institute, Gentofte, Denmark.
85
Regensburg University
Medical Center, Clinic and Policlinic for Internal Medicine II, Regensburg, Germany.
86
MRC
Centre for Causal Analyses in Translational Epidemiology, Department of Social Medicine,
Oakfield House, Bristol, UK.
87
Department of Physiology and Biophysics, Keck School of
Medicine, University of Southern California, Los Angeles, California, USA.
88
Department of
Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles,
California, USA.
89
Division of Preventive Medicine, Brigham and Women’s Hospital, Boston,
Massachusetts, USA.
90
Centre for Genetic Epidemiology and Biostatistics, University of Western
Australia, Crawley, Western Australia, Australia.
91
Department of Physiology, Institute of
Neuroscience and Physiology, Sahlgrenska Academy, University of Gothenburg, Gothenburg,
Sweden.
92
Department of Internal Medicine, Institute of Medicine, Sahlgrenska Academy,
University of Gothenburg, Gothenburg, Sweden.
93
Lund University Diabetes Centre, Department
of Clinical Sciences, Lund University, Malmö, Sweden.
94
Zentrum für Zahn-, Mund- und
Kieferheilkunde, Greifswald, Germany.
95
Department of Medicine III, University of Dresden,
Dresden, Germany.
96
Division of Endocrinology, Keck School of Medicine, University of Southern
California, Los Angeles, California, USA.
97
Centre for Population Health Sciences, University of
Edinburgh, Teviot Place, Edinburgh, Scotland, UK.
98
Department of Internal Medicine B, Ernst-
Moritz-Arndt University, Greifswald, Germany.
99
MRC-Health Protection Agency (HPA) Centre for
Environment and Health, London, UK.
100
Department of General Practice and Primary Health
Care, University of Helsinki, Helsinki, Finland.
101
National Institute for Health and Welfare,
Helsinki, Finland.
102
Helsinki University Central Hospital, Unit of General Practice, Helsinki,
Finland.
103
Folkhalsan Research Centre, Helsinki, Finland.
104
Vasa Central Hospital, Vasa,
Finland.
105
Center for Neurobehavioral Genetics, University of California, Los Angeles, California,
USA.
106
Department of Medicine, University of Maryland School of Medicine, Baltimore,
Maryland, USA.
107
Department of Medicine III, Pathobiochemistry, University of Dresden,
Dresden, Germany.
108
Department of Clinical Sciences/Obstetrics and Gynecology, University of
Oulu, Oulu, Finland.
109
National Institute for Health and Welfare, Department of Chronic Disease
Prevention, Chronic Disease Epidemiology and Prevention Unit, Helsinki, Finland.
110
Institute of
Biomedicine, Department of Physiology, University of Oulu, Oulu, Finland.
111
Department of
Psychiatry, Kuopio University Hospital and University of Kuopio, Kuopio, Finland.
112
Institute of
Genetic Medicine, European Academy Bozen-Bolzano (EURAC), Bolzano-Bozen, Italy (affiliated
Institute of the University of Lübeck, Lübeck, Germany).
113
PathWest Laboratory of Western
Australia, Department of Molecular Genetics, J Block, QEII Medical Centre, Nedlands, Western
Australia, Australia.
114
Busselton Population Medical Research Foundation Inc., Sir Charles
Gairdner Hospital, Nedlands, Western Australia, Australia.
115
National Institute for Health and
Welfare, Department of Chronic Disease Prevention, Population Studies Unit, Turku, Finland.
116
Hospital for Children and Adolescents, Helsinki University Central Hospital and University of
Helsinki, Helsinki, Finland.
117
National Institute for Health and Welfare, Diabetes Prevention Unit,
Helsinki, Finland.
118
Interdisciplinary Centre for Clinical Research, University of Leipzig, Leipzig,
Germany.
119
Institut für Pharmakologie, Universität Greifswald, Greifswald, Germany.
120
Croatian
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Centre for Global Health, School of Medicine, University of Split, Split, Croatia.
121
Department of
Medicine, University of Kuopio and Kuopio University Hospital, Kuopio, Finland.
122
Nord-
Trøndelag Health Study (HUNT) Research Centre, Department of Public Health and General
Practice, Norwegian University of Science and Technology, Levanger, Norway.
123
Finnish
Institute of Occupational Health, Oulu, Finland.
124
Institut inter-regional pour la sante (IRSA), La
Riche, France.
125
Centre National de Genotypage, Evry, Paris, France.
126
Transplantation
Laboratory, Haartman Institute, University of Helsinki, Helsinki, Finland.
127
Department of Public
Health and Primary Care, Institute of Public Health, University of Cambridge, Cambridge, UK.
128
Avon Longitudinal Study of Parents and Children (ALSPAC) Laboratory, Department of Social
Medicine, University of Bristol, Bristol, UK.
129
Division of Health, Research Board, An Bord
Taighde Sláinte, Dublin, Ireland.
130
Department of Pathology and Molecular Medicine, McMaster
University, Hamilton, Ontario, Canada.
131
Amgen, Cambridge, Massachusetts, USA.
132
Department of Cardiovascular Medicine, University of Oxford, John Radcliffe Hospital,
Headington, Oxford, UK.
133
Finnish Twin Cohort Study, Department of Public Health, University of
Helsinki, Helsinki, Finland.
134
Obesity Research Unit, Department of Psychiatry, Helsinki
University Central Hospital, Helsinki, Finland.
135
Department of Medicine, Levanger Hospital, The
Nord-Trøndelag Health Trust, Levanger, Norway.
136
National Institute for Health and Welfare,
Oulu, Finland.
137
Department of Clinical Sciences, Lund University, Malmö, Sweden.
138
Department of Cardiovascular Sciences, University of Leicester, Glenfield Hospital, Leicester,
UK.
139
Leicester National Institute for Health Research (NIHR) Biomedical Research Unit in
Cardiovascular Disease, Glenfield Hospital, Leicester, UK.
140
South Karelia Central Hospital,
Lappeenranta, Finland.
141
Division of Cardiology, Cardiovascular Laboratory, Helsinki University
Central Hospital, Helsinki, Finland.
142
Department of Psychiatry/Instituut voor Extramuraal
Geneeskundig Onderzoek (EMGO) Institute, VU University Medical Center, Amsterdam, The
Netherlands.
143
Atherosclerosis Research Unit, Department of Medicine, Solna, Karolinska
Institutet, Karolinska University Hospital, Stockholm, Sweden.
144
Department of Human Genetics,
Leiden University Medical Center, Leiden, The Netherlands.
145
Center of Medical Systems
Biology, Leiden University Medical Center, Leiden, The Netherlands.
146
Institut für Klinische
Chemie und Laboratoriumsmedizin, Universität Greifswald, Greifswald, Germany.
147
Steno
Diabetes Center, Gentofte, Denmark.
148
Department of Physiatrics, Lapland Central Hospital,
Rovaniemi, Finland.
149
School of Pathology and Laboratory Medicine, University of Western
Australia, Nedlands, Western Australia, Australia.
150
School of Medicine and Pharmacology,
University of Western Australia, Perth, Western Australia, Australia.
151
Department of Clinical
Physiology, University of Tampere and Tampere University Hospital, Tampere, Finland.
152
Department of Clinical Chemistry, University of Tampere and Tampere University Hospital,
Tampere, Finland.
153
Research Centre of Applied and Preventive Cardiovascular Medicine,
University of Turku, Turku, Finland.
154
The Department of Clinical Physiology, Turku University
Hospital, Turku, Finland.
155
Department of Medicine, University of Leipzig, Leipzig, Germany.
156
Leipziger Interdisziplinärer Forschungskomplex zu molekularen Ursachen umwelt- und
lebensstilassoziierter Erkrankungen (LIFE) Study Centre, University of Leipzig, Leipzig, Germany.
157
Coordination Centre for Clinical Trials, University of Leipzig, Leipzig, Germany.
158
Department
of Medicine, University of Turku and Turku University Hospital, Turku, Finland.
159
INSERM Centre
de Recherche en Epidémiologie et Santé des Populations (CESP) U1018, Villejuif, France.
160
University Paris Sud 11, Unité Mixte de Recherche en Santé (UMRS) 1018, Villejuif, France.
161
Department of Social Medicine, University of Bristol, Bristol, UK.
162
The London School of
Hygiene and Tropical Medicine, London, UK.
163
South Asia Network for Chronic Disease, New
Delhi, India.
164
Department of Genomics of Common Disease, School of Public Health, Imperial
College London, London, UK.
165
Faculty of Health Science, University of Southern Denmark,
Odense, Denmark.
166
Klinik und Poliklinik für Innere Medizin II, Universität Regensburg,
Regensburg, Germany.
167
Regensburg University Medical Center, Innere Medizin II, Regensburg,
Germany.
168
Department of Social Services and Health Care, Jakobstad, Finland.
169
Research
Heid et al.
Page 5
Nat Genet
. Author manuscript; available in PMC 2011 May 01.
Europe PMC Funders Author Manuscripts Europe PMC Funders Author Manuscripts

Citations
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Journal ArticleDOI

LD score regression distinguishes confounding from polygenicity in genome-wide association studies :

TL;DR: It is found that polygenicity accounts for the majority of the inflation in test statistics in many GWAS of large sample size, and the LD Score regression intercept can be used to estimate a more powerful and accurate correction factor than genomic control.
Journal ArticleDOI

Richness of human gut microbiome correlates with metabolic markers

TL;DR: The authors' classifications based on variation in the gut microbiome identify subsets of individuals in the general white adult population who may be at increased risk of progressing to adiposity-associated co-morbidities.
Journal ArticleDOI

Discovery and refinement of loci associated with lipid levels

Cristen J. Willer, +319 more
- 06 Oct 2013 - 
TL;DR: It is found that loci associated with blood lipid levels are often associated with cardiovascular and metabolic traits, including coronary artery disease, type 2 diabetes, blood pressure, waist-hip ratio and body mass index.
Journal ArticleDOI

Five years of GWAS discovery

TL;DR: The past five years have seen many scientific and biological discoveries made through the experimental design of genome-wide association studies (GWASs), which were aimed at detecting variants at genomic loci that are associated with complex traits in the population and, in particular, at detecting associations between common single-nucleotide polymorphisms (SNPs) and common diseases such as heart disease, diabetes, auto-immune diseases, and psychiatric disorders.
Journal ArticleDOI

Large-scale association analysis provides insights into the genetic architecture and pathophysiology of type 2 diabetes

Andrew P. Morris, +232 more
- 01 Sep 2012 - 
TL;DR: This article conducted a meta-analysis of genetic variants on the Metabochip, including 34,840 cases and 114,981 controls, overwhelmingly of European descent, and identified ten previously unreported T2D susceptibility loci, including two showing sex-differentiated association.
References
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Journal ArticleDOI

Controlling the false discovery rate: a practical and powerful approach to multiple testing

TL;DR: In this paper, a different approach to problems of multiple significance testing is presented, which calls for controlling the expected proportion of falsely rejected hypotheses -the false discovery rate, which is equivalent to the FWER when all hypotheses are true but is smaller otherwise.
Journal ArticleDOI

Meta-Analysis in Clinical Trials*

TL;DR: This paper examines eight published reviews each reporting results from several related trials in order to evaluate the efficacy of a certain treatment for a specified medical condition and suggests a simple noniterative procedure for characterizing the distribution of treatment effects in a series of studies.
Journal ArticleDOI

Fundamentals of Biostatistics.

E. Barath, +1 more
- 01 Sep 1992 - 
TL;DR: Bernard Rosner's FUNDAMENTALS of BIOSTATISTICS is a practical introduction to the methods, techniques, and computation of statistics with human subjects that prepares students for their future courses and careers.
Book

Fundamentals of Biostatistics

TL;DR: Bernard Rosner's "Fundamentals of BIOSTATISTICS" as mentioned in this paper is a practical introduction to the methods, techniques, and computation of statistics with human subjects.
Journal ArticleDOI

A common variant in the FTO gene is associated with body mass index and predisposes to childhood and adult obesity

TL;DR: A genome-wide search for type 2 diabetes–susceptibility genes identified a common variant in the FTO (fat mass and obesity associated) gene that predisposes to diabetes through an effect on body mass index (BMI).
Related Papers (5)

Association analyses of 249,796 individuals reveal 18 new loci associated with body mass index

Elizabeth K. Speliotes, +413 more
- 01 Nov 2010 - 

A common variant in the FTO gene is associated with body mass index and predisposes to childhood and adult obesity

Biological, clinical and population relevance of 95 loci for blood lipids

Tanya M. Teslovich, +218 more
- 05 Aug 2010 - 
Frequently Asked Questions (12)
Q1. What contributions have the authors mentioned in the paper "Meta-analysis identifies 13 new loci associated with waist-hip ratio and reveals sexual dimorphism in the genetic basis of fat distribution" ?

The authors conducted a meta-analysis of 32 genome-wide association studies for WHR adjusted for body mass index ( comprising up to 77,167 participants ), following up 16 loci in an additional 29 studies ( comprising up to 113,636 subjects ). Within the Genetic Investigation of Anthropometric Traits ( GIANT ) consortium, the authors performed a large-scale meta-analysis of genome-wide association studies ( GWAS ) informative for WHR using adjustment for BMI to focus discovery toward genetic loci associated with body fat distribution rather than overall adiposity14-16. 

By providing new insights into the regulation of body fat distribution, the present study raises a number of issues for future investigation. Efforts to tackle overall obesity through therapeutic or lifestyle-based modulation of overall energy balance have proved extremely challenging to implement, and the manipulation of processes associated with more beneficial patterns of fat distribution offers an alternative perspective for future drug discovery. From the genetic perspective, resequencing, dense-array genotyping and fine-mapping approaches will be required to characterize causal variants at the loci the authors have identified and to support further discoveries that may account for the substantial proportion of genetic variance unexplained by their findings. 

In the discovery stage, up to 2,850,269 imputed and genotyped SNPs were examined in 32 GWAS comprising up to 77,167 participants informative for anthropometric measures of body fat distribution. 

WHR is of particular interest as a measure of body fat distribution because it integrates the adverse metabolic risk associated with increasing waist circumference with the more protective role of gluteal fat deposition with respect to diabetes, hypertension and dyslipidemia5,6. 

These analyses included up to 108,979 women (42,735 in the discovery stage and 66,244 in the follow up) and 82,483 men (34,601 in the discovery and 47,882 in the follow up). 

After adding an interaction term of SNP with BMI into the model, the authors observed that BMI modified the WHR association at the LY86 locus (P for interaction = 9.5 × 10−5), with a larger WHR effect among obese individuals compared to non-obese individuals(Supplementary Note). 

Of the ten loci shown to be associated with BMI in previous GWAS14,15,18, only two showed nominally significant (P < 0.05) associations for BMI-adjusted WHR in the discovery analysis (FTO, rs8050136, P = 0.03, n = 77,074; TMEM18, rs6548238, P = 3.0 × 10−3, n = 77,016). 

To determine whether genes within the WHR-associated loci showed evidence of differential transcription in distinct fat depots, the authors compared expression levels in gluteal or abdominal SAT in 49 individuals. 

These 14 loci explain 1.34% of the variance in WHR (after adjustment for BMI and age) in women but only 0.46% of the variance in WHR in men. 

The primary objective of genetic discovery efforts is to characterize the specific mechanisms involved in regulating the trait of interest. 

The authors selected SNPs representing the top 16 independent (defined as being located >1 Mb apart) regions of association (discovery P < 1.4 × 10−6; Table 1) and evaluated them in 29 additional, independent studies (comprising up to 113,636 individuals) using a mixture of in silico data and de novo genotyping. 

To identify potential functional connections and pathway relationships between genes mapping at the WHR-associated loci, the authors focused on the 95 genes located in a 2-Mb interval centered around each of the 48 independent SNPs that attained P < 1.0 × 10−5 in the WHR discovery studies.