Rare genomic structural variants in complex disease: lessons from the replication of associations with obesity.
- Authors
- Walters, Robin G; Coin, Lachlan J M; Ruokonen, Aimo; de Smith, Adam J; El-Sayed Moustafa, Julia S; Jacquemont, Sebastien; Elliott, Paul; Esko, TΓ΅nu; Hartikainen, Anna-Liisa; Laitinen, Jaana; MΓ€nnik, Katrin; Martinet, Danielle; Meyre, David; Nauck, Matthias; Schurmann, Claudia; Sladek, Rob; Thorleifsson, Gudmar; ThorsteinsdΓ³ttir, Unnur; Valsesia, Armand; Waeber, Gerard; Zufferey, Flore; Balkau, Beverley; Pattou, FranΓ§ois; Metspalu, Andres; VΓΆlzke, Henry; Vollenweider, Peter; Stefansson, KΓ‘ri; JΓ€rvelin, Marjo-Riitta; Beckmann, Jacques S; Froguel, Philippe; Blakemore, Alexandra I F
- Year
- 2013
- Journal
- PloS one
- PMID
- 23554873
- DOI
- 10.1371/journal.pone.0058048
- PMCID
- PMC3595275
The limited ability of common variants to account for the genetic contribution to complex disease has prompted searches for rare variants of large effect, to partly explain the 'missing heritability'. Analyses of genome-wide genotyping data have identified genomic structural variants (GSVs) as a source of such rare causal variants. Recent studies have reported multiple GSV loci associated with risk of obesity. We attempted to replicate these associations by similar analysis of two familial-obesity case-control cohorts and a population cohort, and detected GSVs at 11 out of 18 loci, at frequencies similar to those previously reported. Based on their reported frequencies and effect sizes (ORβ₯25), we had sufficient statistical power to detect the large majority (80%) of genuine associations at these loci. However, only one obesity association was replicated. Deletion of a 220 kb region on chromosome 16p11.2 has a carrier population frequency of 2Γ10(-4) (95% confidence interval [9.6Γ10(-5)-3.1Γ10(-4)]); accounts overall for 0.5% [0.19%-0.82%] of severe childhood obesity cases (P = 3.8Γ10(-10); odds ratio = 25.0 [9.9-60.6]); and results in a mean body mass index (BMI) increase of 5.8 kg.m(-2) [1.8-10.3] in adults from the general population. We also attempted replication using BMI as a quantitative trait in our population cohort; associations with BMI at or near nominal significance were detected at two further loci near KIF2B and within FOXP2, but these did not survive correction for multiple testing. These findings emphasise several issues of importance when conducting rare GSV association, including the need for careful cohort selection and replication strategy, accurate GSV identification, and appropriate correction for multiple testing and/or control of false discovery rate. Moreover, they highlight the potential difficulty in replicating rare CNV associations across different populations. Nevertheless, we show that such studies are potentially valuable for the identification of variants making an appreciable contribution to complex disease.
Procedure for identification of GSVs.Following data export and QC, GSV calling was carried out using the cnvHap algorithm. Illustrative data for 3 GSV loci (shaded) show all positive GSV calls (black) together with examples of calls not meeting the necessary criteria (grey); probes at which copy number changes were identified are also indicated (circles).
Metabolic phenotype of carriers of a 220 kb deletion at chromosome 16p11.2. (a) Fasting plasma insulin levels relative to BMI, for 558 normoglycaemic severely obese children from northern France either carrying a deletion (black) or not (grey). (b) Fasting plasma insulin levels relative to BMI, for 5254 normoglycaemic 31 year-old Finns either carrying a deletion (black circles) or not (grey circles). Also shown are the parents of obese French child probands who carry a deletion (black triangles) or not (white triangles). (c) Plasma insulin levels in response to a 75 g oral glucose load in parents of obese child probands. Data shown are mean Β± SEM for carrier parents (n = 3, mean BMI = 28.6 kg.mβ2, black triangle) and unaffected parents (n = 4, mean BMI = 27.0 kg.mβ2, white triangles).
Reduced BMI in carriers of deletions in the FOXP2 region.Deletions within FOXP2 are shown relative to selected tracks from the UCSC browser (http://genome.ucsc.edu) for the corresponding region of chromosome 7: FOXP2 coding transcripts (UCSC Genes); histone modifications H3K4Me1, H3K4Me3, H3K27Ac (ENCODE Regulation); and binding by transcription factor NF-ΞΊB (ENCODE TFBS). Multiple additional transcription factors bind at the apparent NF-ΞΊB binding site. The minimum extent of each predicted deletion, the probes at which copy number changes were identified and the BMI for carriers of each deletion are as shown. Grey shading indicates the region previously associated with BMI [16].
| Name | Type |
|---|---|
| 11 loci local | gene |
| 16p11.2 220kb deletion local | variant |
| 16p11.2 593 kb deletion local | variant |
| 16p11.2 593kb deletion local | variant |
| 16p11.2 deletion | variant |
| 16p11.2 duplication | variant |
| 16p11.2 GSV locus 1 local | variant |
| 16p11.2 GSV locus 2 local | variant |
| 16p11.2 obesity locus local | variant |
| 220 kb deletion local | variant |
| 220β―kb deletion on 16p11.2 local | variant |
| 220 kb deletion on chromosome 16p11.2 local | variant |
| 593 kb deletion of chromosome 16p11.2 local | variant |
| 593β―kb locus on 16p11.2 local | variant |
| adipocyte differentiation | phenotype |
| adipocyte proliferation local | phenotype |
| adult case-control cohort local | cohort |
| adults | cohort |
| adult severe obesity cohorts local | cohort |
| attention deficit hyperactivity disorder | phenotype |
| BAF | drug |
| balanced translocation disrupting SIM1 local | variant |
| bariatric patients local | phenotype |
| BMI | phenotype |
| case-control sample | cohort |
| child case-control cohort local | cohort |
| child cohorts with common obesity local | cohort |
| childhood obesity | phenotype |
| child obesity local | phenotype |
| children | cohort |
| children with common obesity local | cohort |
| chromosome 17 GSV locus local | variant |
| chromosome 22 GSV locus local | variant |
| chromosome 3 GSV locus local | variant |
| Clinical obesity local | phenotype |
| cnvHap local | drug |
| cohort allelic sums test local | cohort |
| cohort of <300 patients with severe early-onset obesity local | cohort |
| CoLaus prospective population cohort local | cohort |
| common obesity GSVs local | variant |
| complex diseases | phenotype |
| complex traits | phenotype |
| control cohorts of normal weight local | cohort |
| control individuals from general population local | cohort |
| DD | phenotype |
| deCODE population cohort local | cohort |
| deletion | variant |
| deletion 7q31.1 local | variant |
| deletion (GSV) local | variant |
| deletion within FOXP2 local | variant |
| developmental delay | phenotype |
| developmental delay cohort local | cohort |
| discovery sample | cohort |
| DNA | drug |
| duplication 17q22 local | variant |
| duplication between KIF2B and TOM1L1 local | variant |
| early-onset obesity | phenotype |
| EGCUT BioBank local | cohort |
| European ancestry | cohort |
| extreme hyperinsulinaemia local | phenotype |
| extreme obesity | phenotype |
| extreme obesity discovery cohort local | cohort |
| extreme obesity GSV loci local | variant |
| extreme obesity GSVs local | variant |
| Extreme obesity phenotype local | phenotype |
| Foxp2 | gene |
| FOXP2 deletion local | variant |
| French child cohort local | cohort |
| French cohort local | cohort |
| French non-overweight control cohort local | cohort |
| French obesity case-control cohort local | cohort |
| French severely obese cohort local | cohort |
| general population | cohort |
| general population cohort local | cohort |
| genomic structural variant local | variant |
| Genomic Structural Variant local | variant |
| Genomic structural variants local | variant |
| genuine associations local | phenotype |
| geographically-matched controls local | cohort |
| glucose | drug |
| GSV local | variant |
| GSV-associated obesity local | phenotype |
| GSV region local | variant |
| GSV regions local | variant |
| GSVs local | variant |
| heavily-selected cohort local | cohort |
| highly-penetrant causative variant local | variant |
| highly-selected cohort local | cohort |
| hyperinsulinaemia local | phenotype |
| Illumina Human CNV370-duo arrays local | drug |
| independent cohorts local | cohort |
| insulin | drug |
| insulin resistance | phenotype |
| insulin response to oral glucose local | phenotype |
| KIF2B local | gene |
| KIF2B duplication local | variant |
| large GSVs local | variant |
| LRR | drug |
| MC4R | gene |
| NFBC1966 local | cohort |
| NFBC1966 cohort local | cohort |
| NF-ΞΊB | gene |
| Nordic adult cohort local | cohort |
| normal weight | phenotype |
| Normal weight/underweight local | phenotype |
| Northern Finland Birth Cohort 1966 local | cohort |
| Northern Finland general population cohort local | cohort |
| obesity | phenotype |
| obesity case-control cohort local | cohort |
| obesity plus cohorts local | cohort |
| oral glucose local | drug |
| original report local | cohort |
| other population cohorts local | cohort |
| overweight | phenotype |
| Patients with extreme obesity local | cohort |
| phenotype | phenotype |
| population | cohort |
| previously published data local | cohort |
| rare GSVs local | variant |
| Rare GSVs local | variant |
| rare point mutation local | variant |
| rare variant | cohort |
| reciprocal GSVs local | variant |
| severely obese children cohort local | cohort |
| SH2B1 | gene |
| SH2B1 deletion local | variant |
| SHIP cross-sectional survey cohort local | cohort |
| SIM1 local | gene |
| SIM1 common variants local | variant |
| SIM1 rare variants local | variant |
| single nucleotide polymorphism | variant |
| smaller deletions local | variant |
| small GSVs local | variant |
| SNP | cohort |
| study cohort | cohort |
| syndromic obesity local | phenotype |
| thgenetics local | drug |
| TOM1L1 local | gene |
| UK child cohort local | cohort |
| underweight | phenotype |
| unselected population cohorts local | cohort |
| waist-hip ratio (adjusted for BMI) local | phenotype |
| worldwide local | cohort |
No uploaded files.
| Citation | PMID | DOI | Status |
|---|---|---|---|
| AsimitJ, ZegginiE (2010) Rare Variant Association Analysis Methods for Complex Traits. Annual Review of Genetics 44: 293β308.10.1146/annurev-genet-102209-16342121047260 | β | β | β |
| Bachmann-GagescuR (2010) Recurrent 200-kb deletions of 16p11.2 that include the SH2B1 gene are associated with developmental delay and obesity. Genetics in Medicine 12: 641.2080823110.1097/GIM.0b013e3181ef4286 | β | β | β |
| BansalV, LibigerO, TorkamaniA, SchorkNJ (2010) Statistical analysis strategies for association studies involving rare variants. Nat Rev Genet 11: 773β785.2094073810.1038/nrg2867PMC3743540 | β | β | β |
| BochukovaEG, HuangN, KeoghJ, HenningE, PurmannC, et al (2010) Large, rare chromosomal deletions associated with severe early-onset obesity. Nature 463: 666β670.1996678610.1038/nature08689PMC3108883 | β | β | β |
| Bonnefond A, Clement N, Fawcett K, Yengo L, Vaillant E, et al.. (2012) Rare MTNR1B variants impairing melatonin receptor 1B function contribute to type 2 diabetes. Nat Genet advance online publication.10.1038/ng.1053PMC377390822286214 | β | β | β |
| Bouatia-NajiN, De GraeveF, BronnerG, LecoeurC, VatinV, et al (2008) INS VNTR Is Not Associated With Childhood Obesity in 1,023 Families: A Family-based Study. Obesity 16: 1471β1475.1838889810.1038/oby.2008.209 | β | β | β |
| ChenX, LiX, WangP, LiuY, ZhangZ, et al (2010) Novel Association Strategy with Copy Number Variation for Identifying New Risk Loci of Human Diseases. PLoS One 5: e12185.2080882510.1371/journal.pone.0012185PMC2924882 | β | β | β |
| CoinLJM, AsherJE, WaltersRG, El-Sayed MoustafaJS, de SmithAJ, et al (2010) cnvHap: An integrative population and haplotype-based multi-platform model of SNPs and CNVs. Nature Methods 7: 541β546.2051214110.1038/nmeth.1466 | β | β | β |
| ColellaS, YauC, TaylorJM, MirzaG, ButlerH, et al (2007) QuantiSNP: an Objective Bayes Hidden-Markov Model to detect and accurately map copy number variation using SNP genotyping data. Nucleic Acids Research 35: 2013β2025.1734146110.1093/nar/gkm076PMC1874617 | β | β | β |
| DupuisJ, LangenbergC, ProkopenkoI, SaxenaR, SoranzoN, et al (2010) New genetic loci implicated in fasting glucose homeostasis and their impact on type 2 diabetes risk. Nat Genet 42: 105β116.2008185810.1038/ng.520PMC3018764 | β | β | β |
| EliaJ, GlessnerJT, WangK, TakahashiN, ShtirCJ, et al (2012) Genome-wide copy number variation study associates metabotropic glutamate receptor gene networks with attention deficit hyperactivity disorder. Nat Genet 44: 78β84.10.1038/ng.1013PMC431055522138692 | β | β | β |
| FaulF, ErdfelderE, LangA-G, BuchnerA (2007) G*Power 3: A flexible statistical power analysis program for the social, behavioral, and biomedical sciences. Behavior Research Methods 39: 175β191.1769534310.3758/bf03193146 | β | β | β |
| FirmannM (2008) Prevalence of obesity and abdominal obesity in the Lausanne population. BMC Cardiovasc Disord 8: 330.10.1186/1471-2458-8-330PMC256300518816372 | β | β | β |
| FroguelP, BlakemoreAIF (2008) The power of the extreme in elucidating obesity. N Engl J Med 359: 891β893.1875364510.1056/NEJMp0805396 | β | β | β |
| GlessnerJT, BradfieldJP, WangK, TakahashiN, ZhangH, et al (2010) A Genome-wide Study Reveals Copy Number Variants Exclusive to Childhood Obesity Cases. American journal of human genetics 87: 661β666.2095078610.1016/j.ajhg.2010.09.014PMC2978976 | β | β | β |
| GorlovIP, GorlovaOY, FrazierML, SpitzMR, AmosCI (2011) Evolutionary evidence of the effect of rare variants on disease etiology. Clinical Genetics 79: 199β206.2083174710.1111/j.1399-0004.2010.01535.xPMC3652532 | β | β | β |
| HeidIM, JacksonAU, RandallJC, WinklerTW, QiL, et al (2010) Meta-analysis identifies 13 new loci associated with waist-hip ratio and reveals sexual dimorphism in the genetic basis of fat distribution. Nat Genet 42: 949β960.2093562910.1038/ng.685PMC3000924 | β | β | β |
| HoffmannTJ, MariniNJ, WitteJS (2010) Comprehensive Approach to Analyzing Rare Genetic Variants. PLoS One 5: e13584.2107216310.1371/journal.pone.0013584PMC2972202 | β | β | β |
| HolderJL, ButteNF, ZinnAR (2000) Profound obesity associated with a balanced translocation that disrupts the SIM1 gene. Human Molecular Genetics 9: 101β108.1058758410.1093/hmg/9.1.101 | β | β | β |
| JacquemontS, ReymondA, ZuffereyF, HarewoodL, WaltersRG, et al (2011) Mirror extreme BMI phenotypes associated with gene dosage at the chromosome 16p11.2 locus. Nature 478: 97β102.2188155910.1038/nature10406PMC3637175 | β | β | β |
| Jarick I, Vogel CIG, Scherag S, SchΓ€fer H, Hebebrand J, et al.. (2010) Novel common copy number variation for early onset extreme obesity on chromosome 11q11 identified by a genome-wide analysis. Human Molecular Genetics.10.1093/hmg/ddq518PMC302404421131291 | β | β | β |
| JohansenCT, WangJ, LanktreeMB, CaoH, McIntyreAD, et al (2010) Excess of rare variants in genes identified by genome-wide association study of hypertriglyceridemia. Nat Genet 42: 684β687.2065759610.1038/ng.628PMC3017369 | β | β | β |
| KongA, SteinthorsdottirV, MassonG, ThorleifssonG, SulemP, et al (2009) Parental origin of sequence variants associated with complex diseases. Nature 462: 868β874.2001659210.1038/nature08625PMC3746295 | β | β | β |
| KonopkaG, BomarJM, WindenK, CoppolaG, JonssonZO, et al (2009) Human-specific transcriptional regulation of CNS development genes by FOXP2. Nature 462: 213β217.1990749310.1038/nature08549PMC2778075 | β | β | β |
| KornJN (2008) Integrated genotype calling and association analysis of SNPs, common copy number polymorphisms and rare CNVs. Nature Genet 40: 1253β1260.1877690910.1038/ng.237PMC2756534 | β | β | β |
| LadouceurM, DastaniZ, AulchenkoYS, GreenwoodCMT, RichardsJB (2012) The Empirical Power of Rare Variant Association Methods: Results from Sanger Sequencing in 1,998 Individuals. PLoS Genet 8: e1002496.2231945810.1371/journal.pgen.1002496PMC3271058 | β | β | β |
| ManolioTA (2009) Finding the missing heritability of complex diseases. Nature 461: 747β753.1981266610.1038/nature08494PMC2831613 | β | β | β |
| McClellanJ, KingM-C (2010) Genetic Heterogeneity in Human Disease. Cell 141: 210β217.2040331510.1016/j.cell.2010.03.032 | β | β | β |
| MeyreD, DelplanqueJ, ChevreJC, LecoeurC, LobbensS, et al (2009) Genome-wide association study for early-onset and morbid adult obesity identifies three new risk loci in European populations. Nat Genet 41: 157β159.1915171410.1038/ng.301 | β | β | β |
| MomozawaY, MniM, NakamuraK, CoppietersW, AlmerS, et al (2011) Resequencing of positional candidates identifies low frequency IL23R coding variants protecting against inflammatory bowel disease. Nat Genet 43: 43β47.2115112610.1038/ng.733 | β | β | β |
| MorgenthalerS, ThillyWG (2007) A strategy to discover genes that carry multi-allelic or mono-allelic risk for common diseases: A cohort allelic sums test (CAST). Mutation Research/Fundamental and Molecular Mechanisms of Mutagenesis 615: 28β56.1710115410.1016/j.mrfmmm.2006.09.003 | β | β | β |
| MorrisDL, ChoKW, ZhouY, RuiL (2009) SH2B1 Enhances Insulin Sensitivity by Both Stimulating the Insulin Receptor and Inhibiting Tyrosine Dephosphorylation of Insulin Receptor Substrate Proteins. Diabetes 58: 2039β2047.1954220210.2337/db08-1388PMC2731532 | β | β | β |
| NelisM, EskoT, MagiR, ZimprichF, ZimprichA, et al (2009) Genetic structure of Europeans: a view from the North-East. PLoS One 4: e5472.1942449610.1371/journal.pone.0005472PMC2675054 | β | β | β |
| NyholtDR (2004) A Simple Correction for Multiple Testing for Single-Nucleotide Polymorphisms in Linkage Disequilibrium with Each Other. The American Journal of Human Genetics 74: 765β769.1499742010.1086/383251PMC1181954 | β | β | β |
| OlshenAB, VenkatramanES (2004) Circular binary segmentation for the analysis of array-based DNA copy number data. Biostatistics 5: 557β572.1547541910.1093/biostatistics/kxh008 | β | β | β |
| PotkinSG, TurnerJA, GuffantiG, LakatosA, TorriF, et al (2009) Genome-wide strategies for discovering genetic influences on cognition and cognitive disorders: Methodological considerations. Cognitive Neuropsychiatry 14: 391β418.1963403710.1080/13546800903059829PMC3037334 | β | β | β |
| SabattiC (2009) Service SK, Hartikainen AL, Pouta A, Ripatti S, et al (2009) Genome-wide association analysis of metabolic traits in a birth cohort from a founder population. Nat Genet 41: 35β46.1906091010.1038/ng.271PMC2687077 | β | β | β |
| SampsonJ, ZhaoH (2009) Genotyping and inflated type I error rate in genome-wide association case/control studies. BMC Bioinformatics 10: 68.1923671410.1186/1471-2105-10-68PMC2679732 | β | β | β |
| SchoutenJP, McElgunnCJ, WaaijerR, ZwijnenburgD, DiepvensF, et al (2002) Relative quantification of 40 nucleic acid sequences by multiplex ligation-dependent probe amplification. Nucleic Acids Res 30: e57.1206069510.1093/nar/gnf056PMC117299 | β | β | β |
| ShaB-Y, YangT-L, ZhaoL-J, ChenX-D, GuoY, et al (2009) Genome-wide association study suggested copy number variation may be associated with body mass index in the Chinese population. J Hum Genet 54: 199β202.1922925310.1038/jhg.2009.10PMC2733232 | β | β | β |
| SpeliotesEK, WillerCJ, BerndtSI, MondaKL, ThorleifssonG, et al (2010) Association analyses of 249,796 individuals reveal 18 new loci associated with body mass index. Nat Genet 42: 937β948.2093563010.1038/ng.686PMC3014648 | β | β | β |
| StutzmannF, GhoussainiM, CouturierC, VatinV, CorsetL, et al (2009) Loss-of-function mutations in SIM1 cause a specific form of Prader-Willi-like syndrome. Diabetologia 52: S104. | β | β | β |
| Tang T, Zhang J, Yin J, Staszkiewicz J, Gawronska-Kozak B, et al.. (2009) Uncoupling of inflammation and insulin resistance by NF-kB in transgenic mice through elevated energy expenditure. Journal of Biological Chemistry.10.1074/jbc.M109.068007PMC283606920018865 | β | β | β |
| The R Development Core Team (2005) R: A language and environment for statistical computing: R Foundation for Statistical Computing, Vienna, Austria. | β | β | β |
| TraurigM, MackJ, HansonRL, GhoussainiM, MeyreD, et al (2009) Common Variation in SIM1 Is Reproducibly Associated With BMI in Pi ma Indians. Diabetes 58: 1682β1689.1940141910.2337/db09-0028PMC2699863 | β | β | β |
| TsuangDW, MillardSP, ElyB, ChiP, WangK, et al (2010) The Effect of Algorithms on Copy Number Variant Detection. PLoS One 5: e14456.2120993910.1371/journal.pone.0014456PMC3012691 | β | β | β |
| ValsesiaA, StevensonB, WaterworthD, MooserV, VollenweiderP, et al (2012) Identification and validation of copy number variants using SNP genotyping arrays from a large clinical cohort. BMC Genomics 13: 241.2270253810.1186/1471-2164-13-241PMC3464625 | β | β | β |
| VattikutiS, GuoJ, ChowCC (2012) Heritability and Genetic Correlations Explained by Common SNPs for Metabolic Syndrome Traits. PLoS Genet 8: e1002637.2247921310.1371/journal.pgen.1002637PMC3315484 | β | β | β |
| VenkatramanES, OlshenAB (2007) A faster circular binary segmentation algorithm for the analysis of array CGH data. Bioinformatics 23: 657β663.1723464310.1093/bioinformatics/btl646 | β | β | β |
| VΓΆlzkeH, AlteD, SchmidtCO, RadkeD, LorbeerR, et al (2011) Cohort Profile: The Study of Health in Pomerania. International Journal of Epidemiology 40: 294β307.2016761710.1093/ije/dyp394 | β | β | β |
| WalleyAJ, AsherJE, FroguelP (2009) The genetic contribution to non-syndromic human obesity. Nature Rev Genet 10: 431β442.1950657610.1038/nrg2594 | β | β | β |
| WaltersRG, JacquemontS, ValsesiaA, de SmithAJ, MartinetD, et al (2010) A new highly penetrant form of obesity due to deletions on chromosome 16p11.2. Nature 463: 671β675.2013064910.1038/nature08727PMC2880448 | β | β | β |
| WangK (2007) PennCNV: an integrated hidden Markov model designed for high-resolution copy number variation detection in whole-genome SNP genotyping data. Genome Res 17: 1665β1674.1792135410.1101/gr.6861907PMC2045149 | β | β | β |
| WangK, LiW-D, GlessnerJT, GrantSFA, HakonarsonH, et al (2010) Large Copy-Number Variations Are Enriched in Cases With Moderate to Extreme Obesity. Diabetes 59: 2690β2694.2062217110.2337/db10-0192PMC3279563 | β | β | β |
| YangJ, BenyaminB, McEvoyBP, GordonS, HendersAK, et al (2010) Common SNPs explain a large proportion of the heritability for human height. Nat Genet 42: 565β569.2056287510.1038/ng.608PMC3232052 | β | β | β |
| ZhaiG, TeumerA, StolkL, PerryJRB, VandenputL, et al (2011) Eight Common Genetic Variants Associated with Serum DHEAS Levels Suggest a Key Role in Ageing Mechanisms. PLoS Genet 7: e1002025.2153317510.1371/journal.pgen.1002025PMC3077384 | β | β | β |
| ZhangD, QianY, AkulaN, Alliey-RodriguezN, TangJ, et al (2011) Accuracy of CNV Detection from GWAS Data. PLoS One 6: e14511.2124918710.1371/journal.pone.0014511PMC3020939 | β | β | β |
| ZΓΆllnerS, PritchardJK (2007) Overcoming the Winner s Curse: Estimating Penetrance Parameters from Case-Control Data. American Journal of Human Genetics 80: 605β615.1735706810.1086/512821PMC1852705 | β | β | β |
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 |
|---|---|---|---|---|
| Genome-wide association study for agronomic and yield-related traits in spring wheat (Triticum aestivum L.) germplasm. | Thakur A et al. | β | 2025 | β |
| Sixth Annual BCM Hackathon on Structural Variation and Pangenomics | Jaryani F et al. | β | 2025 | β |
| SVDF: enhancing structural variation detect from long-read sequencing via automatic filtering strategies. | Hu H et al. | β | 2024 | β |
| Chromosomal deletions on 16p11.2 encompassing SH2B1 are associated with accelerated metabolic disease. | Hanssen R et al. | β | 2023 | β |
| Resolving complex structural variants via nanopore sequencing. | Romagnoli S et al. | β | 2023 | β |
| Evaluation of Germline Structural Variant Calling Methods for Nanopore Sequencing Data. | Bolognini D et al. | β | 2021 | β |
| A machine learning framework for genotyping the structural variations with copy number variant. | Zheng T et al. | β | 2020 | β |
| Association of AMY1A/AMY2A copy numbers and AMY1/AMY2 serum enzymatic activity with obesity in Mexican children. | VΓ‘zquez-Moreno M et al. | β | 2020 | β |
| Established and emerging strategies to crack the genetic code of obesity. | Tam V et al. | β | 2019 | β |
| Refining the Phenotype of Recurrent Rearrangements of Chromosome 16. | Redaelli S et al. | β | 2019 | β |
| A vast genomic deletion in the C56BL/6 genome affects different genes within the Ifi200 cluster on chromosome 1 and mediates obesity and insulin resistance. | Vogel H et al. | β | 2017 | β |
| Chromosomal contacts connect loci associated with autism, BMI and head circumference phenotypes. | Loviglio MN et al. | β | 2017 | β |
| CNV-association meta-analysis in 191,161 European adults reveals new loci associated with anthropometric traits. | MacΓ© A et al. | β | 2017 | β |
| Convergence between biological, behavioural and genetic determinants of obesity. | Ghosh S et al. | β | 2017 | β |
| Recent progress in genetics, epigenetics and metagenomics unveils the pathophysiology of human obesity. | Pigeyre M et al. | β | 2016 | β |
| A Copy Number Variant on Chromosome 20q13.3 Implicated in Thinness and Severe Obesity. | Hasstedt SJ et al. | β | 2015 | β |
| An analysis of DNA methylation in human adipose tissue reveals differential modification of obesity genes before and after gastric bypass and weight loss. | Benton MC et al. | β | 2015 | β |
| Cohort Profile: Estonian Biobank of the Estonian Genome Center, University of Tartu. | Leitsalu L et al. | β | 2015 | β |
| Copy number variations and cognitive phenotypes in unselected populations. | MΓ€nnik K et al. | β | 2015 | β |
| Genetic epidemiology and insights into interactive genetic and environmental effects in autism spectrum disorders. | Kim YS et al. | β | 2015 | β |
| Obesity and genomics: role of technology in unraveling the complex genetic architecture of obesity. | Apalasamy YD et al. | β | 2015 | β |
| Copy Number Variation in Chickens: A Review and Future Prospects. | Wang X et al. | β | 2014 | β |
| Eating in the absence of hunger but not loss of control behaviors are associated with 16p11.2 deletions. | Gill R et al. | β | 2014 | β |
| Investigation of selected genomic deletions and duplications in a cohort of 338 patients presenting with syndromic obesity by multiplex ligation-dependent probe amplification using synthetic probes. | D'Angelo CS et al. | β | 2014 | β |
| Nitric oxide is a positive regulator of the Warburg effect in ovarian cancer cells. | Caneba CA et al. | β | 2014 | β |
| On the association of common and rare genetic variation influencing body mass index: a combined SNP and CNV analysis. | Peterson RE et al. | β | 2014 | β |
| Recent challenges to the psychiatric diagnostic nosology: a focus on the genetics and genomics of neurodevelopmental disorders. | Kim YS et al. | β | 2014 | β |
| The genetics of human obesity. | Waalen J | β | 2014 | β |