Novel common copy number variation for early onset extreme obesity on chromosome 11q11 identified by a genome-wide analysis.

paper Cited Public

Authors: Jarick, Ivonne; Vogel, Carla I G; Scherag, Susann; Schäfer, Helmut; Hebebrand, Johannes; Hinney, Anke; Scherag, André
Year: 2011
Journal: Human molecular genetics
PMID: 21131291
DOI: 10.1093/hmg/ddq518
PMCID: PMC3024044

Figure 1.

Study design to discover CNVRs associated with (early-onset extreme) obesity.

LLM interpretation

This figure is a flow diagram illustrating a two-stage study design (Discovery and Replication) to identify copy number variation regions (CNVRs) associated with early-onset extreme obesity. The discovery phase utilizes family-based and case-control GWAS samples to narrow 244 common autosomal CNVRs down to 20 directionally consistent candidates. The replication phase uses two independent family-based samples to confirm 2 CNVRs and provide suggestive support for 4 others, ultimately resulting in the re-confirmation of 2 previously known CNVRs and the identification of 1 new CNVR.

Figure 2.

Genome-wide distribution of the 244 common CNVRs estimated in our discovery GWAS (family-based and case–control) samples. CNVRs are graphically represented by black bars according to their chromosomal position and size (genome build hg 18).

LLM interpretation

This figure is a genome-wide map showing the distribution of 244 common copy number variation regions (CNVRs) across human chromosomes 1 through 22. The chromosomes are represented as horizontal grey bars, with CNVRs indicated by black vertical bars positioned according to their chromosomal location and size. The y-axis is labeled "Chromosome," and the visualization illustrates the relative density and spread of these variations across the genome.

Figure 3.

Results for CNVR 11q11 in the family-based (filled circles) and in the case–control (open circles) GWAS discovery sample. Additionally, multi-marker FBAT results are plotted as grey lines representing the P-values achieved in the test incorporating each CNV marker covered by the line.

LLM interpretation

This is a scatter plot showing $-\log_{10}$ (one-sided p-values) against the position on chromosome 11 in Mb for CNVR 11q11. The data includes family-based results (filled circles), case-control results (open circles), and multi-marker FBAT results (grey lines). Most data points and lines cluster between 0 and 2 on the y-axis, with a few case-control outliers reaching values between 3 and 5.

Figure 4.

Results for CNVR 1p31.1 (20 kb upstream of NEGR1) in the family-based (filled circles) and in the case–control (open circles) GWAS discovery sample. Additionally, multi-marker FBAT results are plotted as grey lines representing the P-values achieved in the test incorporating each CNV marker covered by a line.

LLM interpretation

This is a scatter plot showing $-\log_{10}$ (one-sided p-values) against the position on chromosome 1 in Mb for CNVR 1p31.1. The data includes family-based results (filled circles), case-control results (open circles), and multi-marker FBAT results (grey lines). Most data points fall between 0 and 2 on the y-axis, with the highest p-value significance reaching just above 2.

Figure 5.

Results for CNVR 10q11.22 (1) in the family-based (filled circles) and in the case–control (open circles) GWAS discovery sample. Additionally, multi-marker FBAT results are plotted as grey lines representing the P-values achieved in the test incorporating each CNV marker covered by a line.

LLM interpretation

This is a scatter plot showing $-\log_{10}$ (one-sided p-values) against the position on chromosome 10 in Mb for CNVR 10q11.22 (1). The data includes family-based results (filled circles) and case-control results (open circles), with the latter showing a prominent peak of higher significance around 46.45–46.5 Mb. Additionally, grey lines represent multi-marker FBAT results, indicating p-values for tests incorporating various CNV markers.

#	Section	Preview
0	INTRODUCTION	Obesity is a heritable complex trait (1,2). Genome-wide association studies (GWASs) led to the…
1	INTRODUCTION	CNV loci and half of these CNVs are of sizes from 1 to 10 kb. The frequency spectrum and the precise…
2	INTRODUCTION	Currently, two common CNV regions have been described for BMI and obesity. At first, association of…
3	INTRODUCTION	In addition to these common CNVs, three recent reports (20–22) underlined the importance of rare,…
4	INTRODUCTION	The potential of common CNVs has until recently (11,26) been largely neglected despite the fact that…
5	INTRODUCTION	Here we focus on common CNVs and report a genome-wide CNV detection and association analysis for…
6	RESULTS — Genome-wide CNV analyses	We observed 244 autosomal common CNVRs; out of which 240 were at least partially listed in the…
7	RESULTS — Genome-wide CNV analyses	Among the 244 common CNVRs, we detected 25 regions that showed suggestive evidence for an…
8	RESULTS — Genome-wide CNV analyses	CNVRs when compared with the random distribution (Supplementary Material, Fig. S1). Table…
9	RESULTS — Genome-wide CNV analyses	These 25 CNVRs were followed up by investigating an independent case–control GWAS sample: 20 of…
10	RESULTS — Genome-wide CNV analyses	case–control GWAS sample similarly showed evidence for an obesity association signal. The maximal…
11	RESULTS — Genome-wide CNV analyses	For replication analysis of the signals in the 20 CNVRs with evidence for an association in both…
12	RESULTS — Replication and exploration of CNVR 11q11	The CNVR on chromosome 11q11 (CNVR 11q11) was the best CNVR (according to P-value in the…
13	RESULTS — Replication and exploration of CNVR 11q11	We followed CNVR 11q11 up in the replication sample of 365 independent obesity trios due to the…
14	RESULTS — Replication and exploration of CNVR 11q11	trios.CNVR no.ChromosomeStart – stop CNVR in BPTagging SNPPosition of tagging SNP in BPMax.…
15	RESULTS — Replication and exploration of CNVR 11q11	Consequently, given this moderate correlation, for technical validation and further analyses, we…
16	RESULTS — Replication and exploration of CNVR 11q11	children (OR = 1.171; 95% CI = 0.947–1.448; one-sided P = 0.066). A similar qPCR-based analysis in…
17	RESULTS — Array-based replication analysis	All 20 CNVRs with evidence for an association with obesity in both GWAS discovery samples were…
18	RESULTS — Array-based replication analysis	both family-based samples, three CNVRs presented at least nominally significant CNVR-adjusted…
19	RESULTS — Previously reported CNVs in our genome-wide CNV analysis	CNVR 1p31.1 (Table 2) 20 kb upstream of NEGR1 was the only CNV associated with BMI in a…

Citation	PMID	DOI	Status
Bochukova, E.G. et al., Nature, 2010, Large, rare chromosomal deletions associated with severe early-onset obesity	19966786	10.1038/nature08689	Cited
Bolstad, B.M. et al., Bioinformatics, 2003, A comparison of normalization methods for high density oligonucleotide array data based on variance and bias	12538238	10.1093/bioinformatics/19.2.185	Cited
Conrad, D.F. et al., Nature, 2010, Origins and functional impact of copy number variation in the human genome	19812545	10.1038/nature08516	Cited
Craddock, N. et al., Nature, 2010, Genome-wide association study of CNVs in 16,000 cases of eight common diseases and 3,000 shared controls	20360734	10.1038/nature08979	Cited
deKovel, C.G. et al., Brain, 2010, Recurrent microdeletions at 15q11.2 and 16p13.11 predispose to idiopathic generalized epilepsies	19843651	10.1093/brain/awp262	Cited
deSmith, A.J. et al., Hum. Mol. Genet., 2007, Array CGH analysis of copy number variation identifies 1284 new genes variant in healthy white males, implications for association studies of complex diseases	17666407	10.1093/hmg/ddm208	Cited
Falk, C.T. et al., Ann. Hum. Genet., 1987, Hyplotype relative risks, an easy reliable way to construct a proper control sample for risk calculations	3500674	10.1111/j.1469-1809.1987.tb00875.x	Cited
Fridlyand, J. et al., J. Multivar. Anal., 2004, Hidden Markov models approach to the analysis of array CGH data	—	—	—
Friedman, J.M., Nature, 2000, Obesity in the new millennium	10766249	10.1038/35007504	Cited
Gonzalez, E. et al., Science, 2005, The influence of CCL3L1 gene-containing segmental duplications on HIV-1/AIDS susceptibility	15637236	10.1126/science.1101160	Cited
Hasin, Y. et al., PLoS Genet., 2008, High-resolution copy-number variation map reflects human olfactory receptor diversity and evolution	18989455	10.1371/journal.pgen.1000249	Cited
Hebebrand, J. et al., Aktuel. Ernährungsmed., 1994, Altersperzentilen für den Body Mass Index aus Daten der Nationalen Verzehrstudie einschließlich einer Übersicht zu relevanten Einflussfaktoren	—	—	—
Heid, I.M. et al., Nat. Genet., 2010, Meta-analysis identifies 13 new loci associated with waist-hip ratio and reveals sexual dimorphism in the genetic basis of fat distribution	20935629	10.1038/ng.685	Cited
Herbert, A. et al., Science, 2006, A common genetic variant is associated with adult and childhood obesity	16614226	10.1126/science.1124779	Cited
Hinney, A. et al., Eur. Child. Adolesc. Psychiatry, 2010, From monogenic to polygenic obesity, recent advances	20127379	10.1007/s00787-010-0096-6	Cited
Hinney, A. et al., PLoS One, 2007, Genome wide association (GWA) study for early onset extreme obesity supports the role of fat mass and obesity associated gene (FTO) variants	18159244	10.1371/journal.pone.0001361	Cited
Ionita-Laza, I. et al., Genet. Epidemiol., 2008, On the analysis of copy-number variations in genome-wide association studies, a translation of the family-based association test	18228561	10.1002/gepi.20302	Cited
Ionita-Laza, I. et al., Genomics, 2009, Genetic association analysis of copy-number variation (CNV) in human disease pathogenesis	18822366	10.1016/j.ygeno.2008.08.012	Cited
Lee, J.A. et al., Neuron, 2006, Genomic rearrangements and gene copy-number alterations as a cause of nervous system disorders	17015230	10.1016/j.neuron.2006.09.027	Cited
Loos, R.J. et al., Nat. Genet., 2008, Common variants near MC4R are associated with fat mass, weight and risk of obesity	18454148	10.1038/ng.140	Cited
Manolio, T.A. et al., Nature, 2009, Finding the missing heritability of complex diseases	19812666	10.1038/nature08494	Cited
Marioni, J.C. et al., Genome Biol., 2007, Breaking the waves, improved detection of copy number variation from microarray-based comparative genomic hybridization	17961237	10.1186/gb-2007-8-10-r228	Cited
McCarroll, S.A. et al., Nat. Genet., 2007, Copy-number variation and association studies of human disease	17597780	10.1038/ng2080	Cited
McCarroll, S.A. et al., Nat. Genet., 2008, Integrated detection and population-genetic analysis of SNPs and copy number variation	18776908	10.1038/ng.238	Cited
McCarroll, S.A., Nat. Genet., 2008, Copy-number analysis goes more than skin deep	18163125	10.1038/ng0108-5	Cited
Meyre, D. et al., Nat. Genet., 2009, Genome-wide association study for early-onset and morbid adult obesity identifies three new risk loci in European populations	19151714	10.1038/ng.301	Cited
Park, J.H. et al., Nat. Genet., 2010, Estimation of effect size distribution from genome-wide association studies and implications for future discoveries	20562874	10.1038/ng.610	Cited
Redon, R. et al., Nature, 2006, Global variation in copy number in the human genome	17122850	10.1038/nature05329	Cited
Richardson, B.E. et al., Obes. Surg., 2004, Altered olfactory acuity in the morbidly obese	15329187	10.1381/0960892041719617	Cited
Sainsbury, A. et al., Mol. Cell. Biol., 2003, Synergistic effects of Y2 and Y4 receptors on adiposity and bone mass revealed in double knockout mice	12861009	10.1128/MCB.23.15.5225-5233.2003	Cited
Sainsbury, A. et al., Neuropeptides, 2010, Y4 receptors and pancreatic polypeptide regulate food intake via hypothalamic orexin and brain-derived neurotropic factor dependent pathways	20116098	10.1016/j.npep.2010.01.001	Cited
Schaid, D.J. et al., Am. J. Hum. Genet., 2006, Exact tests of Hardy–Weinberg equilibrium and homogeneity of disequilibrium across strata	17186465	10.1086/510257	Cited
Scherag, A. et al., PLoS Genet., 2010, Two new loci for body-weight regulation identified in a joint analysis of genome-wide association studies for early-onset extreme obesity in French and German study groups	20421936	10.1371/journal.pgen.1000916	Cited
Sebat, J. et al., Science, 2007, Strong association of de novo copy number mutations with autism	17363630	10.1126/science.1138659	Cited
Sha, B.Y. et al., J. Hum. Genet., 2009, Genome-wide association study suggested copy number variation may be associated with body mass index in the Chinese population	19229253	10.1038/jhg.2009.10	Cited
Speliotes, E.K. et al., Nat. Genet., 2010, Association analyses of 249,796 individuals reveal 18 new loci associated with body mass index	20935630	10.1038/ng.686	Cited
Spielman, R.S. et al., Am. J. Hum. Genet., 1993, Transmission test for linkage disequilibrium, the insulin gene region and insulin-dependent diabetes mellitus (IDDM)	8447318	—	Cited
Stefansson, H. et al., Nature, 2008, Large recurrent microdeletions associated with schizophrenia	18668039	10.1038/nature07229	Cited
Thorleifsson, G. et al., Nat. Genet., 2009, Genome-wide association yields new sequence variants at seven loci that associate with measures of obesity	19079260	10.1038/ng.274	Cited
Walley, A.J. et al., Nat. Rev. Genet., 2009, The genetic contribution to non-syndromic human obesity	19506576	10.1038/nrg2594	Cited
Walters, R.G. et al., Nature, 2010, A new highly penetrant form of obesity due to deletions on chromosome 16p11.2	20130649	10.1038/nature08727	Cited
Wang, K. et al., Diabetes, 2010, Large copy number variations are enriched in cases with moderate to extreme obesity	20622171	10.2337/db10-0192	Cited
Weiss, L.A. et al., N. Engl. J. Med., 2008, Association between microdeletion and microduplication at 16p11.2 and autism	18184952	10.1056/NEJMoa075974	Cited
Willer, C.J. et al., Nat. Genet., 2009, Six new loci associated with body mass index highlight a neuronal influence on body weight regulation	19079261	10.1038/ng.287	Cited
Winchester, L. et al., Brief Funct. Genomic Proteomic, 2009, Comparing CNV detection methods for SNP arrays	19737800	10.1093/bfgp/elp017	Cited
Wong, K.K. et al., Am. J. Hum. Genet., 2007, A comprehensive analysis of common copy-number variations in the human genome	17160897	10.1086/510560	Cited
Yang, J. et al., Nat. Genet., 2010, Common SNPs explain a large proportion of the heritability for human height	20562875	10.1038/ng.608	Cited
Young, J.M. et al., Am. J. Hum. Genet., 2008, Extensive copy-number variation of the human olfactory receptor gene family	18674749	10.1016/j.ajhg.2008.07.005	Cited

In this knowledge base

Title	Year	PMID
On the association of common and rare genetic variation influencing body mass index: a combined SNP and CNV analysis.	2014	24884913

External

Title	Authors	Journal	Year	Link
The Emerging Role of Olfactory Receptors: From Genomics to Precision Medicine.	Dubey N et al.	—	2026	→
Common-variant and rare-variant genetic architecture of heart failure across the allele-frequency spectrum.	Lee DSM et al.	—	2025	→
Obesity genetic association prospective cohort utilizing single center real-world evidence data.	Bağci Ö et al.	—	2025	→
Olfactory Receptor Gene Deletions: A Novel Genetic Findings in Idiopathic Prepubertal Gynecomastia and Juvenile Macromastia.	Bas F et al.	—	2025	→
The Interplay of UCP3 and PCSK1 Variants in Severe Obesity.	Verde L et al.	—	2025	→
Towards Precision Medicine in Obesity: Genetic Copy Number Variations Profiling Linked to Specific Metabolic Dysregulation Patterns.	Mitu I et al.	—	2025	→
Illuminating the neuropeptide Y<sub>4</sub> receptor and its ligand pancreatic polypeptide from a structural, functional, and therapeutic perspective.	Schüß C et al.	—	2024	→
<i>AGAP</i> duplicons associate with structural diversity at Chromosome 10q11.22.	Fornezza S et al.	—	2024	→
The complex web of obesity: from genetics to precision medicine.	M JN et al.	—	2024	→
The olfactory bulb: A neuroendocrine spotlight on feeding and metabolism.	Stark R	—	2024	→
Exploring quantitative traits-associated copy number deletions through reanalysis of UK10K consortium whole genome sequencing cohorts.	Lee S et al.	—	2023	→
[From genotype to phenotype: amylase gene in childhood obesity].	Vázquez-Moreno MA et al.	—	2023	→
GeneToCN: an alignment-free method for gene copy number estimation directly from next-generation sequencing reads	Pajuste F et al.	—	2023	—
GeneToCN: an alignment-free method for gene copy number estimation directly from next-generation sequencing reads.	Pajuste FD et al.	—	2023	→
The Role of the Olfactory System in Obesity and Metabolism in Humans: A Systematic Review and Meta-Analysis.	Matiashova L et al.	—	2023	→
Uncovering structural variants associated with body weight and obesity risk in labrador retrievers: a genome-wide study.	Antkowiak M et al.	—	2023	→
The genetics of obesity: from discovery to biology.	Loos RJF et al.	—	2022	→
A Genome-Wide Association Study of Childhood Body Fatness.	Warner ET et al.	—	2021	→
Effect of interaction between obesity-promoting genetic variants and behavioral factors on the risk of obese phenotypes.	Rana S et al.	—	2021	→
[Genetic Analyses of Complex Phenotypes Through the Example of Anorexia Nervosa and Bodyweight Regulation].	Hirtz R et al.	—	2021	→
High Olfactory Receptor-Rich 11q11 Copy Number in Girls and African American Children.	Phillips M et al.	—	2021	→
Predicting anthropometric and metabolic traits with a genetic risk score for obesity in a sample of Pakistanis.	Rana S et al.	—	2021	→
Copy number variant analysis and expression profiling of the olfactory receptor-rich 11q11 region in obesity predisposition.	Diels S et al.	—	2020	→
Copy number variants in lipid metabolism genes are associated with gallstones disease in men.	Pérez-Palma E et al.	—	2020	→
Depression-Associated Gene <i>Negr1-Fgfr2</i> Pathway Is Altered by Antidepressant Treatment.	Carboni L et al.	—	2020	→
From Bound Cells Comes a Sound Mind: The Role of Neuronal Growth Regulator 1 in Psychiatric Disorders.	Noh K et al.	—	2020	→
Heterozygous rare genetic variants in non-syndromic early-onset obesity.	Serra-Juhé C et al.	—	2020	→
Highly Conserved Molecular Features in IgLONs Contrast Their Distinct Structural and Biological Outcomes.	Venkannagari H et al.	—	2020	→
Obesity and COVID-19: Oro-Naso-Sensory Perception.	Khan AS et al.	—	2020	→
Association of Salivary Amylase (<i>AMY1</i>) Gene Copy Number with Obesity in Alabama Elementary School Children.	Venkatapoorna CMK et al.	—	2019	→
Associations between olfactory pathway gene methylation marks, obesity features and dietary intakes.	Ramos-Lopez O et al.	—	2019	→
Copy number determination of the gene for the human pancreatic polypeptide receptor NPY4R using read depth analysis and droplet digital PCR.	Shebanits K et al.	—	2019	→
Established and emerging strategies to crack the genetic code of obesity.	Tam V et al.	—	2019	→
Genetic variation of FTO: rs1421085 T>C, rs8057044 G>A, rs9939609 T>A, and copy number (CNV) in Mexican Mayan school-aged children with obesity/overweight and with normal weight.	González-Herrera L et al.	—	2019	→
Therapeutic potential of ectopic olfactory and taste receptors.	Lee SJ et al.	—	2019	→
Clinical significance of germline copy number variation in susceptibility of human diseases.	Hu L et al.	—	2018	→
Copy number of pancreatic polypeptide receptor gene NPY4R correlates with body mass index and waist circumference.	Shebanits K et al.	—	2018	→
Ethnic and population differences in the genetic predisposition to human obesity.	Stryjecki C et al.	—	2018	→
Genome organization: connecting the developmental origins of disease and genetic variation.	Jacobson E et al.	—	2018	→
Low Salivary Amylase Gene (<i>AMY1</i>) Copy Number Is Associated with Obesity and Gut <i>Prevotella</i> Abundance in Mexican Children and Adults.	León-Mimila P et al.	—	2018	→
Spatial maps of prostate cancer transcriptomes reveal an unexplored landscape of heterogeneity.	Berglund E et al.	—	2018	→
The Effect of SH2B1 Variants on Expression of Leptin- and Insulin-Induced Pathways in Murine Hypothalamus.	Giuranna J et al.	—	2018	→
Copy Number Variations in Candidate Genes and Intergenic Regions Affect Body Mass Index and Abdominal Obesity in Mexican Children.	Antúnez-Ortiz DL et al.	—	2017	→
Novel genes involved in severe early-onset obesity revealed by rare copy number and sequence variants.	Serra-Juhé C et al.	—	2017	→
Analysis of Genes Involved in Body Weight Regulation by Targeted Re-Sequencing.	Volckmar AL et al.	—	2016	→
CNV analysis and mutation screening indicate an important role for the NPY4R gene in human obesity.	Aerts E et al.	—	2016	→
Recent progress in genetics, epigenetics and metagenomics unveils the pathophysiology of human obesity.	Pigeyre M et al.	—	2016	→
The cilium: a cellular antenna with an influence on obesity risk.	Mariman EC et al.	—	2016	→
A Copy Number Variant on Chromosome 20q13.3 Implicated in Thinness and Severe Obesity.	Hasstedt SJ et al.	—	2015	→
CPAS: a trans-omics pathway analysis tool for jointly analyzing DNA copy number variations and mRNA expression profiles data.	Zhang F et al.	—	2015	→
Fine Mapping of a GWAS-Derived Obesity Candidate Region on Chromosome 16p11.2.	Volckmar AL et al.	—	2015	→
[Genetic and epigenetic mechanisms in obesity].	Hinney A et al.	—	2015	→
Genome Wide Distributions and Functional Characterization of Copy Number Variations between Chinese and Western Pigs.	Wang H et al.	—	2015	→
Interaction association analysis of imputed SNPs in case-control and follow-up studies.	Subirana I et al.	—	2015	→
Interactions between obesity-related copy number variants and dietary behaviors in childhood obesity.	Zhang D et al.	—	2015	→
Obesity and genomics: role of technology in unraveling the complex genetic architecture of obesity.	Apalasamy YD et al.	—	2015	→
Olfactory receptor genes cooperate with protocadherin genes in human extreme obesity.	Mariman EC et al.	—	2015	→
The ethnoepidemiology of obesity.	Valera B et al.	—	2015	→
The Genetics of Pediatric Obesity.	Chesi A et al.	—	2015	→
A genome-wide association study on copy-number variation identifies a 11q11 loss as a candidate susceptibility variant for colorectal cancer.	Fernandez-Rozadilla C et al.	—	2014	→
Analysis of genome-wide copy number variations in Chinese indigenous and western pig breeds by 60 K SNP genotyping arrays.	Wang Y et al.	—	2014	→
Etiology of Obesity Over the Life Span: Ecological and Genetic Highlights from Asian Countries.	Chong PN et al.	—	2014	→
Genome-wide copy number variation study and gene expression analysis identify ABI3BP as a susceptibility gene for Kashin-Beck disease.	Zhang F et al.	—	2014	→
Identification of structural variation in mouse genomes.	Keane TM et al.	—	2014	→
Low copy number of the salivary amylase gene predisposes to obesity.	Falchi M et al.	—	2014	→
Novel approach identifies SNPs in SLC2A10 and KCNK9 with evidence for parent-of-origin effect on body mass index.	Hoggart CJ et al.	—	2014	→
Obesity gene NEGR1 associated with white matter integrity in healthy young adults.	Dennis EL et al.	—	2014	→
On the association of common and rare genetic variation influencing body mass index: a combined SNP and CNV analysis.	Peterson RE et al.	—	2014	→
The genetics of human obesity.	Waalen J	—	2014	→
A 680 kb duplication at the FTO locus in a kindred with obesity and a distinct body fat distribution.	Davies RW et al.	—	2013	→
Combined linkage and association analyses identify a novel locus for obesity near PROX1 in Asians.	Kim HJ et al.	—	2013	→
Copy number variation on chromosome 10q26.3 for obesity identified by a genome-wide study.	Yang TL et al.	—	2013	→
Copy number variations of obesity relevant loci associated with body mass index in young Chinese.	Sun C et al.	—	2013	→
Ethnic differentiation of copy number variation on chromosome 16p12.3 for association with obesity phenotypes in European and Chinese populations.	Yang TL et al.	—	2013	→
From obesity genetics to the future of personalized obesity therapy.	El-Sayed Moustafa JS et al.	—	2013	→
Gene-based copy number variation study reveals a microdeletion at 12q24 that influences height in the Korean population.	Kim YK et al.	—	2013	→
KGVDB: a population-based genomic map of CNVs tagged by SNPs in Koreans.	Moon S et al.	—	2013	→
Molecular genetic aspects of weight regulation.	Hebebrand J et al.	—	2013	→
Rare genomic structural variants in complex disease: lessons from the replication of associations with obesity.	Walters RG et al.	—	2013	→
Sex bias in copy number variation of olfactory receptor gene family depends on ethnicity.	Shadravan F	—	2013	→
Utilizing extended pedigree information for discovery and confirmation of copy number variable regions among Mexican Americans.	Blackburn A et al.	—	2013	→
Beyond the fourth wave of genome-wide obesity association studies.	Sandholt CH et al.	—	2012	→
Copy number variants in obesity-related syndromes: review and perspectives on novel molecular approaches.	D'Angelo CS et al.	—	2012	→
Copy number variations associated with obesity-related traits in African Americans: a joint analysis between GENOA and HyperGEN.	Zhao W et al.	—	2012	→
Dysfunction of lipid sensor GPR120 leads to obesity in both mouse and human.	Ichimura A et al.	—	2012	→
Genome-wide association study identifies a maternal copy-number deletion in PSG11 enriched among preeclampsia patients.	Zhao L et al.	—	2012	→
Integrating genomic and epigenomic information: a promising strategy for identifying functional DNA variants of human disease.	Zaina S et al.	—	2012	→
Mutation screen in the GWAS derived obesity gene SH2B1 including functional analyses of detected variants.	Volckmar AL et al.	—	2012	→
Olfaction under metabolic influences.	Palouzier-Paulignan B et al.	—	2012	→
The fine-scale architecture of structural variants in 17 mouse genomes.	Yalcin B et al.	—	2012	→
Aberrations of NEGR1 on 1p31 and MYEOV on 11q13 in neuroblastoma.	Takita J et al.	—	2011	→
Genetics of childhood obesity.	Zhao J et al.	—	2011	→
Genome-wide association of copy-number variation reveals an association between short stature and the presence of low-frequency genomic deletions.	Dauber A et al.	—	2011	→
Genome-wide mapping of copy number variation in humans: comparative analysis of high resolution array platforms.	Haraksingh RR et al.	—	2011	→
Molecular basis of obesity: current status and future prospects.	Choquet H et al.	—	2011	→
Programming towards childhood obesity.	Tounian P	—	2011	→