Traits - Cholesterol - HDL cholesterol levels

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Cholesterol - HDL cholesterol levels

Nutrient Utilization

HDL cholesterol is the high-density lipoprotein fraction in blood, often described as the "reverse-transport" cholesterol because it carries cholesterol back to the liver.

GWAS work has identified many variants influencing HDL levels, including those in CETP, LIPC, and APOA genes.

This result reflects research-level variation in HDL-related biology and is not a lipid panel reading or a treatment plan.

Diet, physical activity, smoking, alcohol, body weight, and medications also have substantial effects on actual HDL values measured in blood.

Selected sample
Demo Report
Report markers
3 SNP entries
Genes
1
Research
1 study
Your report

Genetic tendency

Slightly increased HDL cholesterol levels

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Explore the evidence

Behind this report

Review the genes, tested markers and supporting research.

Genes analyzed

Gene summaries include genomic locations and associated markers. A detected genotype does not by itself indicate a health condition.

Understanding the data
SNP
A specific genetic marker relevant to this trait.
Genotype
The DNA letters reported at a marker location.
Variant allele
The alternative DNA sequence at the SNP site.
Variant allele frequency
The reported percentage of the reference population carrying this variant.
Variant found
Whether the variant was detected in your DNA file.

1 of 1 genes have detected genotypes.

ZPR1

The protein encoded by this gene is found in the cytoplasm of quiescent cells but translocates to the nucleolus in proliferating cells. The encoded protein interacts with survival motor neuron protein (SMN1) to enhance pre-mRNA splicing and to induce neuronal differentiation and axonal growth. Defects in this gene or the SMN1 gene can cause spinal muscular atrophy. Two transcript variants encoding different isoforms have been found for this gene. [provided by RefSeq, Nov 2015]

GeneCards
Chromosome
11
Start
116,773,799
End
116,789,272
Build
HG19
Associated SNPs 1 / 1 detected
Associated markers for ZPR1
SNPGenotype Ref. alleleVariant alleleFrequencyStatus
rs964184 CG GC77.78%Detected

SNPs tested

These are the unique genetic markers analyzed for this trait. Genotypes showing "--" were not identified in your DNA file. Report marker totals can include repeated study entries; this table shows each SNP once.

Genotypes and reported variant frequencies
SNPChromosomeGenotypeVariant alleleFrequency
rs96418411CGC77.78%

DNA Genics reports genotypes based on the 'positive' strand of the human genome reference sequence (build 37/HG19). Other companies may use the opposite strand, so genotypes may need conversion for comparison.

Research studies

The following peer-reviewed scientific studies support the genetic associations analyzed in this report.

08/05/2010 Nature

Authors: Teslovich TM, Musunuru K, Smith AV, Edmondson AC, Stylianou IM, Koseki M, Pirruccello JP, Ripatti S, Chasman DI, Willer CJ, Johansen CT, Fouchier SW, Isaacs A, Peloso GM, Barbalic M, Ricketts SL, Bis JC, Aulchenko YS, Thorleifsson G, Feitosa MF, Chambers J, Orho-Melander M, Melander O, Johnson T, Li X, Guo X, Li M, Shin Cho Y, Jin Go M, Jin Kim Y, Lee JY, Park T, Kim K, Sim X, Twee-Hee Ong R, Croteau-Chonka DC, Lange LA, Smith JD, Song K, Hua Zhao J, Yuan X, Luan J, Lamina C, Ziegler A, Zhang W, Zee RY, Wright AF, Witteman JC, Wilson JF, Willemsen G, Wichmann HE, Whitfield JB, Waterworth DM, Wareham NJ, Waeber G, Vollenweider P, Voight BF, Vitart V, Uitterlinden AG, Uda M, Tuomilehto J, Thompson JR, Tanaka T, Surakka I, Stringham HM, Spector TD, Soranzo N, Smit JH, Sinisalo J, Silander K, Sijbrands EJ, Scuteri A, Scott J, Schlessinger D, Sanna S, Salomaa V, Saharinen J, Sabatti C, Ruokonen A, Rudan I, Rose LM, Roberts R, Rieder M, Psaty BM, Pramstaller PP, Pichler I, Perola M, Penninx BW, Pedersen NL, Pattaro C, Parker AN, Pare G, Oostra BA, O&#39, Donnell CJ, Nieminen MS, Nickerson DA, Montgomery GW, Meitinger T, McPherson R, McCarthy MI, McArdle W, Masson D, Martin NG, Marroni F, Mangino M, Magnusson PK, Lucas G, Luben R, Loos RJ, Lokki ML, Lettre G, Langenberg C, Launer LJ, Lakatta EG, Laaksonen R, Kyvik KO, Kronenberg F, König IR, Khaw KT, Kaprio J, Kaplan LM, Johansson A, Jarvelin MR, Janssens AC, Ingelsson E, Igl W, Kees Hovingh G, Hottenga JJ, Hofman A, Hicks AA, Hengstenberg C, Heid IM, Hayward C, Havulinna AS, Hastie ND, Harris TB, Haritunians T, Hall AS, Gyllensten U, Guiducci C, Groop LC, Gonzalez E, Gieger C, Freimer NB, Ferrucci L, Erdmann J, Elliott P, Ejebe KG, Döring A, Dominiczak AF, Demissie S, Deloukas P, de Geus EJ, de Faire U, Crawford G, Collins FS, Chen YD, Caulfield MJ, Campbell H, Burtt NP, Bonnycastle LL, Boomsma DI, Boekholdt SM, Bergman RN, Barroso I, Bandinelli S, Ballantyne CM, Assimes TL, Quertermous T, Altshuler D, Seielstad M, Wong TY, Tai ES, Feranil AB, Kuzawa CW, Adair LS, Taylor HA, Borecki IB, Gabriel SB, Wilson JG, Holm H, Thorsteinsdottir U, Gudnason V, Krauss RM, Mohlke KL, Ordovas JM, Munroe PB, Kooner JS, Tall AR, Hegele RA, Kastelein JJ, Schadt EE, Rotter JI, Boerwinkle E, Strachan DP, Mooser V, Stefansson K, Reilly MP, Samani NJ, Schunkert H, Cupples LA, Sandhu MS, Ridker PM, Rader DJ, van Duijn CM, Peltonen L, Abecasis GR, Boehnke M, Kathiresan S

Study sample: 96,598 individuals (european ancestry)

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Coverage: 3/3 SNP entries detected (100%).

Reference: Human Genome Build 37 (HG19). Other testing companies may report using the opposite strand, requiring conversion for comparison.

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