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Glomerular filtration rate in non diabetics (creatinine)

KCNQ1 · rs163160

Where this position leads

Condition: Kidney Function

What the study found

Who was studied 118,448 European ancestry individuals; replicated in 36,433 European ancestry individuals.

The effect Each copy of the A allele shifted the measure 0.0065 higher; p = 2 × 10⁻⁹.

How common The A allele had a frequency of about 82% in the people studied.

Where it sits Chromosome 11, band 11p15.5 — in an intron of KCNQ1.

What ClinVar records

Classification Benign; criteria provided, multiple submitters, no conflicts (2 of 4 stars, 2 submitters), last evaluated 2015-03-03. ClinVar record 1287898 NM_000218.3(KCNQ1):c.1515-119A>G

What this is ClinVar's aggregate record for this position (as of its 2026-10-19 release), not a result about you. A classification describes the variant against the condition named, as laboratories submitted it. Whether a person carries this variant, and what that would mean for them, is a question for a clinical test and a genetic counsellor.

What each result means

A/A Two copies of the version the research linked to Glomerular filtration rate in non diabetics (creatinine). That is the strongest link of the three results. A link in a study is not a diagnosis.

A/G One copy of the version the research linked to Glomerular filtration rate in non diabetics (creatinine). That is a smaller link than two copies.

G/G No copy of the version the research linked to Glomerular filtration rate in non diabetics (creatinine). This is the starting point the study compared everyone against.

Source

Genetic associations at 53 loci highlight cell types and biological pathways relevant for kidney function

Pattaro C, Teumer A, Gorski M, Chu AY, Li M, Mijatovic V, Garnaas M, Tin A, Sorice R, Li Y, Taliun D, Olden M

and 240 more — show all

Foster M, Yang Q, Chen MH, Pers TH, Johnson AD, Ko YA, Fuchsberger C, Tayo B, Nalls M, Feitosa MF, Isaacs A, Dehghan A, d'Adamo P, Adeyemo A, Dieffenbach AK, Zonderman AB, Nolte IM, van der Most PJ, Wright AF, Shuldiner AR, Morrison AC, Hofman A, Smith AV, Dreisbach AW, Franke A, Uitterlinden AG, Metspalu A, Tonjes A, Lupo A, Robino A, Johansson Å, Demirkan A, Kollerits B, Freedman BI, Ponte B, Oostra BA, Paulweber B, Krämer BK, Mitchell BD, Buckley BM, Peralta CA, Hayward C, Helmer C, Rotimi CN, Shaffer CM, Müller C, Sala C, van Duijn CM, Saint-Pierre A, Ackermann D, Shriner D, Ruggiero D, Toniolo D, Lu Y, Cusi D, Czamara D, Ellinghaus D, Siscovick DS, Ruderfer D, Gieger C, Grallert H, Rochtchina E, Atkinson EJ, Holliday EG, Boerwinkle E, Salvi E, Bottinger EP, Murgia F, Rivadeneira F, Ernst F, Kronenberg F, Hu FB, Navis GJ, Curhan GC, Ehret GB, Homuth G, Coassin S, Thun GA, Pistis G, Gambaro G, Malerba G, Montgomery GW, Eiriksdottir G, Jacobs G, Li G, Wichmann HE, Campbell H, Schmidt H, Wallaschofski H, Völzke H, Brenner H, Kroemer HK, Kramer H, Lin H, Leach IM, Ford I, Guessous I, Rudan I, Prokopenko I, Borecki I, Heid IM, Kolcic I, Persico I, Jukema JW, Wilson JF, Felix JF, Divers J, Lambert JC, Stafford JM, Gaspoz JM, Smith JA, Faul JD, Wang JJ, Ding J, Hirschhorn JN, Attia J, Whitfield JB, Chalmers J, Viikari J, Coresh J, Denny JC, Karjalainen J, Fernandes JK, Endlich K, Butterbach K, Keene KL, Lohman K, Portas L, Launer LJ, Lyytikäinen LP, Yengo L, Franke L, Ferrucci L, Rose LM, Kedenko L, Rao M, Struchalin M, Kleber ME, Cavalieri M, Haun M, Cornelis MC, Ciullo M, Pirastu M, de Andrade M, McEvoy MA, Woodward M, Adam M, Cocca M, Nauck M, Imboden M, Waldenberger M, Pruijm M, Metzger M, Stumvoll M, Evans MK, Sale MM, Kähönen M, Boban M, Bochud M, Rheinberger M, Verweij N, Bouatia-Naji N, Martin NG, Hastie N, Probst-Hensch N, Soranzo N, Devuyst O, Raitakari O, Gottesman O, Franco OH, Polasek O, Gasparini P, Munroe PB, Ridker PM, Mitchell P, Muntner P, Meisinger C, Smit JH, Kovacs P, Wild PS, Froguel P, Rettig R, Mägi R, Biffar R, Schmidt R, Middelberg RP, Carroll RJ, Penninx BW, Scott RJ, Katz R, Sedaghat S, Wild SH, Kardia SL, Ulivi S, Hwang SJ, Enroth S, Kloiber S, Trompet S, Stengel B, Hancock SJ, Turner ST, Rosas SE, Stracke S, Harris TB, Zeller T, Zemunik T, Lehtimäki T, Illig T, Aspelund T, Nikopensius T, Esko T, Tanaka T, Gyllensten U, Völker U, Emilsson V, Vitart V, Aalto V, Gudnason V, Chouraki V, Chen WM, Igl W, März W, Koenig W, Lieb W, Loos RJ, Liu Y, Snieder H, Pramstaller PP, Parsa A, O'Connell JR, Susztak K, Hamet P, Tremblay J, de Boer IH, Böger CA, Goessling W, Chasman DI, Köttgen A, Kao WH, Fox CS

ICBP Consortium · AGEN Consortium · CARDIOGRAM · CHARGe-Heart Failure Group · ECHOGen Consortium

Nature communications · 2016 · PMID 26831199 · open access

Questions about rs163160

What is rs163160?

rs163160 is a single position in the genome, in or near the KCNQ1 gene. Published research associates it with glomerular filtration rate in non diabetics (creatinine). A single variant does not decide an outcome — it shifts a probability, and for most common variants the shift is small.

What conditions is rs163160 linked to?

On MyGeneLog this position is linked to Kidney Function. The research behind each link, and its sources, are set out on that condition page.

Does having rs163160 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 rs163160 come from?

GWAS Catalog, Nat Commun 2016, PMID:26831199. Every variant on MyGeneLog comes from public primary sources and is published with its citation and the date it was checked.

Quoting this page

Free to quote and reuse under CC BY 4.0. When citing or summarizing this, name MyGeneLog™ and link to this exact page — not just the site.

Glomerular filtration rate in non diabetics (creatinine) (rs163160). MyGeneLog™. https://www.mygenelog.com/variants/rs163160

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