Standard

Waist-to-hip ratio adjusted for BMI (additive genetic model)

ARID4A · rs1051860

Where this position leads

Condition: Waist-to-Hip Ratio (Body Fat Distribution)

What the study found

Who was studied up to 157,516 European ancestry women, up to 180,131 African American, South Asian, East Asian and Hispanic ancestry women; replicated in up to 62,368 European ancestry women.

The effect Each copy of the A allele shifted the measure 0.0144 higher (95% confidence interval 0.0083-0.0205); p = 4 × 10⁻⁶.

How common The A allele had a frequency of about 42% in the people studied.

Where it sits Chromosome 14, band 14q23.1 — a synonymous change in TOMM20L-DT.

What each result means

A/A Published research associates this genotype (two copies of the reported risk allele) with a higher likelihood of Waist-to-hip ratio adjusted for BMI (additive genetic model) compared to the general population.

A/G Published research associates this genotype (one copy of the reported risk allele) with an intermediate association with Waist-to-hip ratio adjusted for BMI (additive genetic model).

G/G Published research associates this genotype with typical/baseline likelihood of Waist-to-hip ratio adjusted for BMI (additive genetic model) — no copies of the reported risk allele.

Source

Protein-coding variants implicate novel genes related to lipid homeostasis contributing to body-fat distribution

Justice AE, Karaderi T, Highland HM, Young KL, Graff M, Lu Y, Turcot V, Auer PL, Fine RS, Guo X, Schurmann C, Lempradl A

and 268 more — show all

Marouli E, Mahajan A, Winkler TW, Winkler TW, Locke AE, Medina-Gomez C, Esko T, Vedantam S, Giri A, Lo KS, Alfred T, Mudgal P, Ng MCY, Heard-Costa NL, Feitosa MF, Manning AK, Willems SM, Sivapalaratnam S, Abecasis G, Alam DS, Allison M, Amouyel P, Arzumanyan Z, Balkau B, Bastarache L, Bergmann S, Bielak LF, Blüher M, Boehnke M, Boeing H, Boerwinkle E, Böger CA, Bork-Jensen J, Bottinger EP, Bowden DW, Brandslund I, Broer L, Burt AA, Butterworth AS, Caulfield MJ, Cesana G, Chambers JC, Chasman DI, Chen YI, Chowdhury R, Christensen C, Chu AY, Collins FS, Cook JP, Cox AJ, Crosslin DS, Danesh J, de Bakker PIW, Denus S, Mutsert R, Dedoussis G, Demerath EW, Dennis JG, Denny JC, Di Angelantonio E, Dörr M, Drenos F, Dubé MP, Dunning AM, Easton DF, Elliott P, Evangelou E, Farmaki AE, Feng S, Ferrannini E, Ferrieres J, Florez JC, Fornage M, Fox CS, Franks PW, Friedrich N, Gan W, Gandin I, Gasparini P, Giedraitis V, Girotto G, Gorski M, Grallert H, Grarup N, Grove ML, Gustafsson S, Haessler J, Hansen T, Hattersley AT, Hayward C, Heid IM, Holmen OL, Hovingh GK, Howson JMM, Hu Y, Hung YJ, Hveem K, Ikram MA, Ingelsson E, Jackson AU, Jarvik GP, Jia Y, Jørgensen T, Jousilahti P, Justesen JM, Kahali B, Karaleftheri M, Kardia SLR, Karpe F, Kee F, Kitajima H, Komulainen P, Kooner JS, Kovacs P, Krämer BK, Kuulasmaa K, Kuusisto J, Laakso M, Lakka TA, Lamparter D, Lange LA, Langenberg C, Larson EB, Lee NR, Lee WJ, Lehtimäki T, Lewis CE, Li H, Li J, Li-Gao R, Lin LA, Lin X, Lind L, Lindström J, Linneberg A, Liu CT, Liu DJ, Luan J, Lyytikäinen LP, MacGregor S, Mägi R, Männistö S, Marenne G, Marten J, Masca NGD, McCarthy MI, Meidtner K, Mihailov E, Moilanen L, Moitry M, Mook-Kanamori DO, Morgan A, Morris AP, Müller-Nurasyid M, Munroe PB, Narisu N, Nelson CP, Neville M, Ntalla I, O'Connell JR, Owen KR, Pedersen O, Peloso GM, Pennell CE, Perola M, Perry JA, Perry JRB, Pers TH, Ewing A, Polasek O, Raitakari OT, Rasheed A, Raulerson CK, Rauramaa R, Reilly DF, Reiner AP, Ridker PM, Rivas MA, Robertson NR, Robino A, Rudan I, Ruth KS, Saleheen D, Salomaa V, Samani NJ, Schreiner PJ, Schulze MB, Scott RA, Segura-Lepe M, Sim X, Slater AJ, Small KS, Smith BH, Smith JA, Southam L, Spector TD, Speliotes EK, Stefansson K, Steinthorsdottir V, Stirrups KE, Strauch K, Stringham HM, Stumvoll M, Sun L, Surendran P, Swart KMA, Tardif JC, Taylor KD, Teumer A, Thompson DJ, Thorleifsson G, Thorsteinsdottir U, Thuesen BH, Tönjes A, Torres M, Tsafantakis E, Tuomilehto J, Uitterlinden AG, Uusitupa M, van Duijn CM, Vanhala M, Varma R, Vermeulen SH, Vestergaard H, Vitart V, Vogt TF, Vuckovic D, Wagenknecht LE, Walker M, Wallentin L, Wang F, Wang CA, Wang S, Wareham NJ, Warren HR, Waterworth DM, Wessel J, White HD, Willer CJ, Wilson JG, Wood AR, Wu Y, Yaghootkar H, Yao J, Yerges-Armstrong LM, Young R, Zeggini E, Zhan X, Zhang W, Zhao JH, Zhao W, Zheng H, Zhou W, Zillikens MC, Rivadeneira F, Borecki IB, Pospisilik JA, Deloukas P, Frayling TM, Lettre G, Mohlke KL, Rotter JI, Kutalik Z, Hirschhorn JN, Cupples LA, Loos RJF, North KE, Lindgren CM

CHD Exome+ Consortium · Cohorts for Heart and Aging Research in Genomic Epidemiology (CHARGE) Consortium · EPIC-CVD Consortium · ExomeBP Consortium · Global Lipids Genetic Consortium · GoT2D Genes Consortium · InterAct · ReproGen Consortium · T2D-Genes Consortium · MAGIC Investigators

Nature genetics · 2019 · PMID 30778226 · open access

Questions about rs1051860

What is rs1051860?

rs1051860 is a single position in the genome, in or near the ARID4A gene. Published research associates it with waist-to-hip ratio adjusted for bmi (additive genetic model). A single variant does not decide an outcome — it shifts a probability, and for most common variants the shift is small.

What conditions is rs1051860 linked to?

On MyGeneLog this position is linked to Waist-to-Hip Ratio (Body Fat Distribution). The research behind each link, and its sources, are set out on that condition page.

Does having rs1051860 mean I will get this?

No. Common variants like this one move a probability slightly and, on their own, rarely decide anything about one person. Nothing on this page is a diagnosis, and health decisions should be made with a clinician who can see your whole picture.

Where does the information about rs1051860 come from?

GWAS Catalog, Nat Genet 2019, PMID:30778226. Every variant on MyGeneLog comes from public primary sources and is published with its citation and the date it was checked.

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