Literature DB >> 31890803

Dataset of allele and genotype frequencies of five polymorphisms candidate genes analyzed for association with body mass index in Russian women.

Evgeny Reshetnikov¹, Maria Abramova¹, Irina Ponomarenko¹, Alexey Polonikov², Irina Verzilina¹, Inna Sorokina¹, Inna Aristova¹, Anna Yermachenko^3,4, Volodymyr Dvornyk⁵, Mikhail Churnosov¹.

Abstract

Data on the allele and genotype frequencies of the five single nucleotide polymorphisms (SNPs) 5 genes - rs1514175 TNNI3K, rs713586 RBJ, rs887912 FANCL, rs2241423 MAP2K5, rs12444979 GPRC5B in Russian women are presented. Several genome-wide association studies identified these SNPs could be significant genetic markers associated with body mass index (BMI). Standard methods were used for collecting of the anthropometric characteristics (height and weight). We calculated the frequencies of alleles and genotypes of five SNPs in 5 groups: all samples, underweight (BMI<18.50), normal weight (18.50-24.99), overweight (25.00-29.99), obese (>30.00).

Entities: Chemical Disease Gene Mutation Species

Keywords: Body mass index; FANCL; GPRC5B; MAP2K5; RBJ; Single nucleotide polymorphism; TNNI3K; Women

Year: 2019 PMID： 31890803 PMCID： PMC6931107 DOI： 10.1016/j.dib.2019.104962

Source DB: PubMed Journal: Data Brief ISSN： 2352-3409

Specifications Table The frequencies of alleles and genotypes of rs1514175 TNNI3K, rs713586 RBJ, rs887912 FANCL, rs2241423 MAP2K5, and rs12444979 GPRC5B among Russian women with different body mass index (underweight, normal weight, overweight, obesity) vary, but do not differ significantly. The genetic polymorphisms in TNNI3K, RBJ, FANCL, MAP2K5, GPRC5B genes may play a role in body mass index. The data on the allele and genotype frequencies are an important resource for understanding genetic structure of different populations. The data can be used to study a genetic basis of body mass index and BMI-associated multifactorial diseases (obesity, arterial hypertension, metabolic syndrome, stroke, coronary artery disease, uterine leiomyoma, and the others) in various populations.

Data

The dataset represents the raw data (supplementary Table), frequencies of alleles and genotypes for five single nucleotide polymorphisms (SNPs) of 5 genes, rs1514175 TNNI3K, rs713586 RBJ, rs887912 FANCL, rs2241423 MAP2K5, and rs12444979 GPRC5B in Russian women (Table 1). These SNPs were associated with body mass index (BMI) in previously published genome-wide and candidate gene association studies [[1], [2], [3], [4], [5], [6], [7], [8], [9], [10]]. The dataset frequencies of the SNP alleles and genotypes were divided into five groups according to the BMI of the participants: all samples, underweight (BMI<18.50), normal weight (18.50–24.99), overweight (25.00–29.99), and obese (>30.00). No significant differences in the allele and genotype frequencies between the groups with underweight (BMI<18.50), normal weight (18.50–24.99), overweight (25.00–29.99) and obese (>30.00) (p > 0.05) were determined.

Table 1

The frequencies of alleles and genotypes for single nucleotide polymorphisms (SNPs) rs1514175 TNNI3K, rs713586 RBJ, rs887912 FANCL, rs2241423 MAP2K5, rs12444979 GPRC5B in the sample of Russian women.

SNP genotype or allele		All (n = 716)		Body mass index
		n	frequency	Mean, kg/m²	underweight (BMI<18.50) (n = 40)		normal weight (18.50–24.99) (n = 445)		overweight (25.00–29.99) (n = 159)		obese (>30.00) (n = 72)
		n	frequency	Mean, kg/m²	n	frequency	n	frequency	n	frequency	n	frequency
rs1514175 TNNI3K
CC		275	0.3841	23.84 ± 4.46	21	0.5250	173	0.3888	59	0.3710	22	0.3056
CT		331	0.4623	24.16 ± 4.37	11	0.2750	206	0.4629	70	0.4403	44	0.6111
TT		110	0.1536	23.13 ± 3.70	8	0.2000	66	0.1483	30	0.1887	6	0.0833
C		881	0.6152	–	53	0.6625	552	0.6202	188	0.5912	88	0.6111
T		551	0.3848	–	27	0.3375	338	0.3798	130	0.4088	56	0.3889
rs713586 RBJ
TT		238	0.3324	23.61 ± 4.13	18	0.4500	146	0.3281	49	0.3082	25	0.3472
TC		340	0.4749	24.08 ± 4.65	18	0.4500	212	0.4764	73	0.4591	37	0.5139
CC		138	0.1927	23.92 ± 3.74	4	0.1000	87	0.1955	37	0.2327	10	0.1389
T		816	0.5698	–	54	0.6750	504	0.5663	171	0.5377	87	0.6042
C		616	0.4302	–	26	0.3250	386	0.4337	147	0.4623	57	0.3958
rs887912 FANCL
GG		437	0.6103	23.96 ± 4.47	27	0.6750	270	0.6067	95	0.5975	45	0.6250
GA		238	0.3324	23.68 ± 4.19	12	0.3000	152	0.3416	50	0.3145	24	0.3333
AA		41	0.0573	24.11 ± 3.30	1	0.0250	23	0.0517	14	0.0880	3	0.0417
G		1112	0.7765	–	66	0.8250	692	0.7775	240	0.7547	114	0.7917
A		320	0.2235	–	14	0.1750	198	0.2225	78	0.2453	30	0.2083
rs2241423 MAP2K5
GG	474		0.6620	23.81 ± 4.11	27	0.6750	288	0.6471	115	0.7233	44	0.6111
GA	213		0.2975	23.93 ± 4.65	11	0.2750	141	0.3169	37	0.2327	24	0.3333
AA	29		0.0405	24.72 ± 5.17	2	0.0500	16	0.0360	7	0.0440	4	0.0556
G	1161		0.8108	–	65	0.8125	717	0.8056	267	0.8396	112	0.7778
A	271		0.1892	–	15	0.1875	173	0.1944	51	0.1604	32	0.2222
rs12444979 GPRC5B
CC	524		0.7318	23.99 ± 4.36	29	0.7250	320	0.7191	118	0.7421	57	0.7917
CT	175		0.2444	23.56 ± 4.25	11	0.2750	114	0.2562	37	0.2327	13	0.1805
TT	17		0.0238	23.96 ± 3.79	–	–	11	0.0247	4	0.0252	2	0.0278
C	1223		0.8541	–	69	0.8625	754	0.8472	273	0.8585	127	0.8819
T	209		0.1459	–	11	0.1375	136	0.1528	45	0.1415	17	0.1181

The frequencies of alleles and genotypes for single nucleotide polymorphisms (SNPs) rs1514175 TNNI3K, rs713586 RBJ, rs887912 FANCL, rs2241423 MAP2K5, rs12444979 GPRC5B in the sample of Russian women.

Experimental design, materials, and methods

Study subjects

From 2009 to 2013, women referred to the Perinatal Centre of the Belgorod Regional Clinical Hospital of St. Joasaph were enrolled. The participants were unrelated Russian women born in Central Russia [11]. Some exclusion criteria were adopted: benign tumors and hyperplastic disorders of the reproductive organs (endometriosis, leiomyoma, and endometrial hyperplasia), malignant tumors of a small pelvis and breast, severe autoimmune diseases, chronic severe diseases of the vital organs (heart, respiratory or renal failure). A total of 716 women met the criteria. This study was approved by the Regional Ethics Committee of Belgorod State University and informed consents were obtained from all participants. The anthropometric characteristics were obtained by standard methods [12]: a portable stadiometer was used for measurement of height; weight was measured in an upright position, using a calibrated balance beam scale. 5 groups were formed according to BMI: total sample set, sample set with the underweight (BMI<18.50), normal weight (18.50–24.99), overweight (25.00–29.99) and obese (>30.00).

Blood sample collection and DNA handling

Whole blood specimens were collected from each participant using a plastic tubes (Vacutainer®) containing 0.5 M EDTA solution (рН = 8.0) and genomic DNA was isolated from peripheral blood leukocytes using the standard phenol-chloroform method. The isolated DNA was stored at −80°С.

SNP selection

Five SNPs in five genes, rs1514175 TNNI3K, rs713586 RBJ, rs887912 FANCL, rs2241423 MAP2K5, and rs12444979 GPRC5B were selected for the analysis according to the following criteria [13]: 1) Previously reported genome-wide and candidate genes associations with body mass index (BMI) and obesity, 2) Regulatory potential (regSNP), 3) Effect on gene expression (eSNP), and 4) Tag value (tagSNP) and 5) MAF > 5%. The selected loci were associated with BMI in previously published genome-wide and candidate gene association studies (Table 2) and have functional significance: all SNPs appear to have a significant regulatory potential (Table 3) (determined using the online tools HaploReg, v4.1 update November 05, 2015, https://pubs.broadinstitute.org/mammals/haploreg/haploreg.php) and 4 SNPs to influence gene expression level (Table 4) (determined using the GTExportal data, http://www.gtexportal.org/).

Table 2

The literature data about associations of the studied polymorphisms with body mass index and obesity.

Chr (1)	SNP (2	Gene/Region	Phenotype	Association (significance) (associated allele/genotype)	Reference
1	rs1514175	TNNI3K	Body mass index	0.07 kg/m²(p = 8 x10⁻¹⁴) (А)	[1]
			Body mass index	0.06 unit (p = 3 x10⁻¹¹) (А)	[3]
			Body mass index	0.20 kg/m² (p = 7.7 × 10⁻⁴) (A)	[4]
2	rs713586	RBJ	Body mass index	0.14 kg/m²(p = 6 x10⁻²²) (С)	[1]
2	rs887912	FANCL	Body mass index	0.1 kg/m²(p = 2 x10⁻¹²) (T)	[1]
			Obesity (class I)	OR = 1.07 (p = 1 x10⁻¹⁰) (T)	[2]
			Obesity (class II)	OR = 1.1 (p = 6 x10⁻⁹) (T)	[2]
15	rs2241423	MAP2K5	Body mass index	0.13 kg/m²(p = 1 x10⁻¹⁸) (G)
			Obesity	OR = 0.79 (p = 0.029) (A)	[1]
			Body mass index	−0.092 unit (p = 0.028) (A)	[5]
			Children obesity	(p < 0.005)	[5]
			Obesity	OR = 1.34 (0.001) (G)	[6]
			Adulthood body mass index	(p < 0.05)	[7]
			Body mass index	0.11 kg/m² (p = 0.028) (G)	[8]
16	rs12444979	GPRC5B	Body mass index	0.17 kg/m²(p = 3 x10⁻²¹) (C)	[1]
			Body mass index	(p < 0.05)	[9]
			Body mass index (EA)	(p = 0.014)	[10]
			Body fat mass (EA)	(p = 0.002)	[10]

Note: The data from the GWAS are shown in bold.

Table 3

Regulatory effects of the 5 SNPs of the TNNI3K, RBJ, FANCL, MAP2K5, and GPRC5B genes (HaploReg, v4.1, update November 05, 2015) (https://pubs.broadinstitute.org/mammals/haploreg/haploreg.php).

chr	pos (hg38)	variant	Reference allele	Alternative allele	AFR	AMR	ASN	EUR	SiPhy	Promoter	Enhancer	DNAse	Proteins	Motifs	NHGRI/EBI	GRASP QTL	Selected eQTL	GENCODE	dbSNP
chr	pos (hg38)	variant	Reference allele	Alternative allele	freq	freq	freq	freq	cons	histone marks	histone marks	DNAse	bound	changed	GWAS hits	hits	hits	genes	func annot
1	74525960	rs1514175	A	G	0.31	0.42	0.2	0.56			ESC, ESDR, IPSC			COMP1,ERalpha-a	2 hits	2 hits		FPGT-TNNI3K	intronic
2	24935139	rs713586	T	C	0.9	0.43	0.46	0.46						Pbx3,SP2,TATA	1 hit	3 hits	34 hits	8.5kb 3′ of DNAJC27
2	59075742	rs887912	T	C	0.94	0.83	1	0.73						Hoxa5,Znf143	3 hits			12kb 3′ of AC007092.1
15	67794500	rs2241423	G	A	0.4	0.43	0.6	0.23				IPSC			1 hit	1 hit	16 hits	MAP2K5	intronic
16	19922278	rs12444979	C	T	0.09	0.06	0	0.12						LBP-1	1 hit		70 hits	32kb 3′ of AC134300.1

Table 4

The cis-eQTL values of the 5 SNPs of the TNNI3K, RBJ, FANCL, MAP2K5, and GPRC5B genes (according to Genotype-Tissue Expression (GTEx) (http://www.gtexportal.org/)).

chr	SNP	Gene	Gene expression	Reference allele	Alternative allele	Effect Size (β)	P-Value	Tissue
1	rs1514175	TNNI3K	LRRIQ3	A	G	0.25	0.0000045	Thyroid
2	rs713586	RBJ	ADCY3	T	C	0.31	0.00000018	Skin - Sun Exposed (Lower leg)
	rs713586	RBJ	CENPO	T	C	0.71	2.9E-38	Whole Blood
	rs713586	RBJ	ADCY3	T	C	0.51	5.3E-22	Whole Blood
	rs713586	RBJ	ADCY3	T	C	−0.23	0.0000000000000063	Nerve - Tibial
	rs713586	RBJ	CENPO	T	C	0.28	0.00000000000031	Artery - Tibial
	rs713586	RBJ	DNAJC27	T	C	−0.2	0.00000000012	Nerve - Tibial
	rs713586	RBJ	DNAJC27-AS1	T	C	0.29	0.0000000003	Whole Blood
	rs713586	RBJ	DNAJC27-AS1	T	C	−0.27	0.0000000014	Esophagus - Muscularis
	rs713586	RBJ	CENPO	T	C	−0.39	0.0000000042	Brain - Cerebellum
	rs713586	RBJ	ADCY3	T	C	0.23	0.0000000091	Artery - Tibial
	rs713586	RBJ	ADCY3	T	C	0.18	0.000000014	Adipose - Subcutaneous
	rs713586	RBJ	CENPO	T	C	−0.41	0.00000015	Cells - EBV-transformed lymphocytes
	rs713586	RBJ	ADCY3	T	C	0.23	0.00000024	Lung
	rs713586	RBJ	ADCY3	T	C	0.18	0.0000006	Adipose - Visceral (Omentum)
	rs713586	RBJ	CENPO	T	C	−0.15	0.00000079	Skin - Sun Exposed (Lower leg)
	rs713586	RBJ	CENPO	T	C	0.18	0.0000011	Adipose - Subcutaneous
	rs713586	RBJ	DNAJC27-AS1	T	C	0.23	0.0000015	Adipose - Visceral (Omentum)
	rs713586	RBJ	ADCY3	T	C	−0.33	0.0000026	Pituitary
	rs713586	RBJ	DNAJC27-AS1	T	C	−0.14	0.000004	Skin - Not Sun Exposed (Suprapubic)
	rs713586	RBJ	ADCY3	T	C	−0.15	0.000016	Nerve - Tibial
	rs713586	RBJ	EFR3B	T	C	0.19	0.000031	Lung
	rs713586	RBJ	POMC	T	C	−0.21	0.000031	Heart - Atrial Appendage
15	rs2241423	MAP2K5	MAP2K5	G	A	−0.32	4.1E-19	Artery - Tibial
	rs2241423	MAP2K5	MAP2K5	G	A	−0.4	0.0000000000000029	Heart - Atrial Appendage
	rs2241423	MAP2K5	MAP2K5	G	A	−0.32	0.000000000000012	Adipose - Subcutaneous
	rs2241423	MAP2K5	MAP2K5	G	A	−0.27	0.0000000000001	Thyroid
	rs2241423	MAP2K5	SKOR1	G	A	−0.3	0.0000000000019	Lung
	rs2241423	MAP2K5	SKOR1	G	A	−0.32	0.0000000000035	Thyroid
	rs2241423	MAP2K5	SKOR1	G	A	−0.3	0.000000000014	Muscle - Skeletal
	rs2241423	MAP2K5	MAP2K5	G	A	−0.26	0.000000000015	Whole Blood
	rs2241423	MAP2K5	SKOR1	G	A	−0.4	0.000000000073	Heart - Left Ventricle
	rs2241423	MAP2K5	SKOR1	G	A	−0.29	0.00000000021	Adipose - Subcutaneous
	rs2241423	MAP2K5	SKOR1	G	A	−0.35	0.00000000037	Adipose - Visceral (Omentum)
	rs2241423	MAP2K5	MAP2K5	G	A	−0.28	0.00000000092	Esophagus - Muscularis
	rs2241423	MAP2K5	SKOR1	G	A	−0.26	0.0000000014	Artery - Tibial
	rs2241423	MAP2K5	SKOR1	G	A	−0.23	0.0000000062	Skin - Sun Exposed (Lower leg)
	rs2241423	MAP2K5	MAP2K5	G	A	−0.22	0.0000000094	Lung
	rs2241423	MAP2K5	MAP2K5	G	A	−0.29	0.000000011	Artery - Aorta
	rs2241423	MAP2K5	SKOR1	G	A	−0.25	0.000000019	Skin - Not Sun Exposed (Suprapubic)
	rs2241423	MAP2K5	MAP2K5	G	A	−0.27	0.000000054	Nerve - Tibial
	rs2241423	MAP2K5	SKOR1	G	A	−0.2	0.000000095	Nerve - Tibial
	rs2241423	MAP2K5	SKOR1	G	A	−0.32	0.00000011	Artery - Aorta
	rs2241423	MAP2K5	MAP2K5	G	A	−0.27	0.00000012	Adipose - Visceral (Omentum)
	rs2241423	MAP2K5	SKOR1	G	A	−0.48	0.00000013	Pituitary
	rs2241423	MAP2K5	SKOR1	G	A	−0.3	0.00000013	Breast - Mammary Tissue
	rs2241423	MAP2K5	SKOR1	G	A	−0.24	0.00000018	Esophagus - Muscularis
	rs2241423	MAP2K5	MAP2K5	G	A	−0.25	0.00000019	Breast - Mammary Tissue
	rs2241423	MAP2K5	MAP2K5	G	A	−0.23	0.0000009	Heart - Left Ventricle
	rs2241423	MAP2K5	SKOR1	G	A	−0.29	0.0000063	Esophagus - Gastroesophageal Junction
	rs2241423	MAP2K5	SKOR1	G	A	−0.51	0.000011	Ovary
	rs2241423	MAP2K5	SKOR1	G	A	−0.25	0.000012	Colon - Sigmoid
	rs2241423	MAP2K5	MAP2K5	G	A	−0.27	0.000013	Esophagus - Gastroesophageal Junction
	rs2241423	MAP2K5	SKOR1	G	A	−0.2	0.000016	Colon - Transverse
	rs2241423	MAP2K5	MAP2K5	G	A	−0.38	0.000017	Pituitary
	rs2241423	MAP2K5	RP11-34F13.2	G	A	−0.29	0.00004	Thyroid
16	rs12444979	GPRC5B	KNOP1	C	T	0.64	0.00000000000037	Adipose - Subcutaneous
	rs12444979	GPRC5B	KNOP1	C	T	0.81	0.00000000000000049	Adipose - Visceral (Omentum)
	rs12444979	GPRC5B	KNOP1	C	T	0.66	0.00000000012	Adrenal Gland
	rs12444979	GPRC5B	KNOP1	C	T	0.78	0.000000000000000043	Artery - Aorta
	rs12444979	GPRC5B	KNOP1	C	T	0.67	0.0000000033	Artery - Coronary
	rs12444979	GPRC5B	KNOP1	C	T	0.43	0.0000026	Artery - Tibial
	rs12444979	GPRC5B	KNOP1	C	T	0.77	0.0000067	Brain - Cerebellum
	rs12444979	GPRC5B	KNOP1	C	T	0.89	0.0000000056	Brain - Hypothalamus
	rs12444979	GPRC5B	KNOP1	C	T	0.82	0.0000009	Brain - Nucleus accumbens (basal ganglia)
	rs12444979	GPRC5B	KNOP1	C	T	0.81	0.00000000000071	Breast - Mammary Tissue
	rs12444979	GPRC5B	KNOP1	C	T	0.73	0.0000015	Cells - EBV-transformed lymphocytes
	rs12444979	GPRC5B	KNOP1	C	T	0.69	0.000000062	Colon - Sigmoid
	rs12444979	GPRC5B	KNOP1	C	T	0.51	0.0000000005	Colon - Transverse
	rs12444979	GPRC5B	KNOP1	C	T	0.89	0.00000000000000071	Esophagus - Gastroesophageal Junction
	rs12444979	GPRC5B	KNOP1	C	T	0.58	0.00000000000000021	Esophagus - Mucosa
	rs12444979	GPRC5B	KNOP1	C	T	0.75	1.6E-19	Esophagus - Muscularis
	rs12444979	GPRC5B	KNOP1	C	T	0.73	0.000000005	Heart - Atrial Appendage
	rs12444979	GPRC5B	KNOP1	C	T	0.56	0.00000035	Heart - Left Ventricle
	rs12444979	GPRC5B	KNOP1	C	T	0.65	0.00000000000000011	Lung
	rs12444979	GPRC5B	KNOP1	C	T	0.73	2.00E-20	Muscle - Skeletal
	rs12444979	GPRC5B	KNOP1	C	T	0.91	0.00000000000000013	Nerve - Tibial
	rs12444979	GPRC5B	KNOP1	C	T	1	0.000000042	Ovary
	rs12444979	GPRC5B	KNOP1	C	T	1	0.000000000000029	Pancreas
	rs12444979	GPRC5B	KNOP1	C	T	0.92	0.000000000000016	Skin - Not Sun Exposed (Suprapubic)
	rs12444979	GPRC5B	KNOP1	C	T	0.79	4.1E-21	Skin - Sun Exposed (Lower leg)
	rs12444979	GPRC5B	KNOP1	C	T	0.95	0.000000059	Spleen
	rs12444979	GPRC5B	KNOP1	C	T	0.67	0.000000000000019	Stomach
	rs12444979	GPRC5B	KNOP1	C	T	0.55	0.000000000058	Testis
	rs12444979	GPRC5B	KNOP1	C	T	0.58	0.000000000006	Thyroid
	rs12444979	GPRC5B	KNOP1	C	T	0.77	0.0000015	Vagina
	rs12444979	GPRC5B	KNOP1	C	T	0.35	0.000011	Whole Blood
	rs12444979	GPRC5B	GPRC5B	C	T	−0.25	0.000046	Adipose - Subcutaneous

The literature data about associations of the studied polymorphisms with body mass index and obesity. Note: The data from the GWAS are shown in bold. Regulatory effects of the 5 SNPs of the TNNI3K, RBJ, FANCL, MAP2K5, and GPRC5B genes (HaploReg, v4.1, update November 05, 2015) (https://pubs.broadinstitute.org/mammals/haploreg/haploreg.php). The cis-eQTL values of the 5 SNPs of the TNNI3K, RBJ, FANCL, MAP2K5, and GPRC5B genes (according to Genotype-Tissue Expression (GTEx) (http://www.gtexportal.org/)).

SNP genotyping

DNA samples were genotyped using the Sequenom MassARRAY® iPLEX platform. The procedure for DNA sample preparation and data quality control are described elsewhere [12].

Statistical analysis

All polymorphisms were checked for their correspondence to the Hardy-Weinberg equilibrium (HWE) using the chi-square test. Differences in allele and genotype frequencies between the groups of underweight (BMI<18.50), normal weight (18.50–24.99), overweight (25.00–29.99), and obese (>30.00) women were determined using the Kruskall-Wallis test.

Specifications Table

Subject area	Biology
More specific subject area	Genetics
Type of data	Table
How data was acquired	MALDI/TOF mass spectrometry using Sequenom MassARRAY 4.0 platform (Agena Bioscience™)
Data format	Raw and analyzed data
Experimental factors	Total genomic DNA was isolated from buffy coat using the standard phenol-chloroform method.
Experimental features	DNA samples were genotyped using the Sequenom MassARRAY® iPLEX platform, which is based on MALDI-TOF (matrix-assisted laser desorption/ionization time-of-flight) mass spectrometry
Data source location	Belgorod, Russia
Data accessibility	The data is available with this article

Value of the Data

•

The frequencies of alleles and genotypes of rs1514175 TNNI3K, rs713586 RBJ, rs887912 FANCL, rs2241423 MAP2K5, and rs12444979 GPRC5B among Russian women with different body mass index (underweight, normal weight, overweight, obesity) vary, but do not differ significantly.

•

The genetic polymorphisms in TNNI3K, RBJ, FANCL, MAP2K5, GPRC5B genes may play a role in body mass index.

•

The data on the allele and genotype frequencies are an important resource for understanding genetic structure of different populations.

•

The data can be used to study a genetic basis of body mass index and BMI-associated multifactorial diseases (obesity, arterial hypertension, metabolic syndrome, stroke, coronary artery disease, uterine leiomyoma, and the others) in various populations.

11 in total

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Journal: Int J Obes (Lond) Date: 2011-11-01 Impact factor: 5.095

2. Genetic variations in SEC16B, MC4R, MAP2K5 and KCTD15 were associated with childhood obesity and interacted with dietary behaviors in Chinese school-age population.

Authors: Duo Lv; Dan-Dan Zhang; Hao Wang; Yan Zhang; Li Liang; Jun-Fen Fu; Feng Xiong; Ge-Li Liu; Chun-Xiu Gong; Fei-Hong Luo; Shao-Ke Chen; Zhen-Li Li; Yi-Min Zhu
Journal: Gene Date: 2015-01-28 Impact factor: 3.688

3. Genome-wide analysis of BMI in adolescents and young adults reveals additional insight into the effects of genetic loci over the life course.

Authors: Mariaelisa Graff; Julius S Ngwa; Tsegaselassie Workalemahu; Georg Homuth; Sabine Schipf; Alexander Teumer; Henry Völzke; Henri Wallaschofski; Goncalo R Abecasis; Lakatta Edward; Cucca Francesco; Serena Sanna; Paul Scheet; David Schlessinger; Carlo Sidore; Xiangjun Xiao; Zhaoming Wang; Stephen J Chanock; Kevin B Jacobs; Richard B Hayes; Frank Hu; Rob M Van Dam; Richard J Crout; Mary L Marazita; John R Shaffer; Larry D Atwood; Caroline S Fox; Nancy L Heard-Costa; Charles White; Audrey C Choh; Stefan A Czerwinski; Ellen W Demerath; Thomas D Dyer; Bradford Towne; Najaf Amin; Ben A Oostra; Cornelia M Van Duijn; M Carola Zillikens; Tõnu Esko; Mari Nelis; Tit Nikopensius; Andres Metspalu; David P Strachan; Keri Monda; Lu Qi; Kari E North; L Adrienne Cupples; Penny Gordon-Larsen; Sonja I Berndt
Journal: Hum Mol Genet Date: 2013-05-12 Impact factor: 6.150

4. Assessing the effects of 35 European-derived BMI-associated SNPs in Mexican children.

Authors: Arkan Abadi; Jesus Peralta-Romero; Fernando Suarez; Jaime Gomez-Zamudio; Ana I Burguete-Garcia; Miguel Cruz; David Meyre
Journal: Obesity (Silver Spring) Date: 2016-08-03 Impact factor: 5.002

5. Ethnic differentiation of copy number variation on chromosome 16p12.3 for association with obesity phenotypes in European and Chinese populations.

Authors: T-L Yang; Y Guo; S M Li; S K Li; Q Tian; Y-J Liu; H-W Deng
Journal: Int J Obes (Lond) Date: 2012-03-06 Impact factor: 5.095

6. The MAP2K5-linked SNP rs2241423 is associated with BMI and obesity in two cohorts of Swedish and Greek children.

Authors: Mathias Rask-Andersen; Josefin A Jacobsson; George Moschonis; Anna E Ek; George P Chrousos; Claude Marcus; Yannis Manios; Robert Fredriksson; Helgi B Schiöth
Journal: BMC Med Genet Date: 2012-05-17 Impact factor: 2.103

7. Association analyses of 249,796 individuals reveal 18 new loci associated with body mass index.

Authors: Elizabeth K Speliotes; Cristen J Willer; Sonja I Berndt; Keri L Monda; Gudmar Thorleifsson; Anne U Jackson; Hana Lango Allen; Cecilia M Lindgren; Jian'an Luan; Reedik Mägi; Joshua C Randall; Sailaja Vedantam; Thomas W Winkler; Lu Qi; Tsegaselassie Workalemahu; Iris M Heid; Valgerdur Steinthorsdottir; Heather M Stringham; Michael N Weedon; Eleanor Wheeler; Andrew R Wood; Teresa Ferreira; Robert J Weyant; Ayellet V Segrè; Karol Estrada; Liming Liang; James Nemesh; Ju-Hyun Park; Stefan Gustafsson; Tuomas O Kilpeläinen; Jian Yang; Nabila Bouatia-Naji; Tõnu Esko; Mary F Feitosa; Zoltán Kutalik; Massimo Mangino; Soumya Raychaudhuri; Andre Scherag; Albert Vernon Smith; Ryan Welch; Jing Hua Zhao; Katja K Aben; Devin M Absher; Najaf Amin; Anna L Dixon; Eva Fisher; Nicole L Glazer; Michael E Goddard; Nancy L Heard-Costa; Volker Hoesel; Jouke-Jan Hottenga; Asa Johansson; Toby Johnson; Shamika Ketkar; Claudia Lamina; Shengxu Li; Miriam F Moffatt; Richard H Myers; Narisu Narisu; John R B Perry; Marjolein J Peters; Michael Preuss; Samuli Ripatti; Fernando Rivadeneira; Camilla Sandholt; Laura J Scott; Nicholas J Timpson; Jonathan P Tyrer; Sophie van Wingerden; Richard M Watanabe; Charles C White; Fredrik Wiklund; Christina Barlassina; Daniel I Chasman; Matthew N Cooper; John-Olov Jansson; Robert W Lawrence; Niina Pellikka; Inga Prokopenko; Jianxin Shi; Elisabeth Thiering; Helene Alavere; Maria T S Alibrandi; Peter Almgren; Alice M Arnold; Thor Aspelund; Larry D Atwood; Beverley Balkau; Anthony J Balmforth; Amanda J Bennett; Yoav Ben-Shlomo; Richard N Bergman; Sven Bergmann; Heike Biebermann; Alexandra I F Blakemore; Tanja Boes; Lori L Bonnycastle; Stefan R Bornstein; Morris J Brown; Thomas A Buchanan; Fabio Busonero; Harry Campbell; Francesco P Cappuccio; Christine Cavalcanti-Proença; Yii-Der Ida Chen; Chih-Mei Chen; Peter S Chines; Robert Clarke; Lachlan Coin; John Connell; Ian N M Day; Martin den Heijer; Jubao Duan; Shah Ebrahim; Paul Elliott; Roberto Elosua; Gudny Eiriksdottir; Michael R Erdos; Johan G Eriksson; Maurizio F Facheris; Stephan B Felix; Pamela Fischer-Posovszky; Aaron R Folsom; Nele Friedrich; Nelson B Freimer; Mao Fu; Stefan Gaget; Pablo V Gejman; Eco J C Geus; Christian Gieger; Anette P Gjesing; Anuj Goel; Philippe Goyette; Harald Grallert; Jürgen Grässler; Danielle M Greenawalt; Christopher J Groves; Vilmundur Gudnason; Candace Guiducci; Anna-Liisa Hartikainen; Neelam Hassanali; Alistair S Hall; Aki S Havulinna; Caroline Hayward; Andrew C Heath; Christian Hengstenberg; Andrew A Hicks; Anke Hinney; Albert Hofman; Georg Homuth; Jennie Hui; Wilmar Igl; Carlos Iribarren; Bo Isomaa; Kevin B Jacobs; Ivonne Jarick; Elizabeth Jewell; Ulrich John; Torben Jørgensen; Pekka Jousilahti; Antti Jula; Marika Kaakinen; Eero Kajantie; Lee M Kaplan; Sekar Kathiresan; Johannes Kettunen; Leena Kinnunen; Joshua W Knowles; Ivana Kolcic; Inke R König; Seppo Koskinen; Peter Kovacs; Johanna Kuusisto; Peter Kraft; Kirsti Kvaløy; Jaana Laitinen; Olivier Lantieri; Chiara Lanzani; Lenore J Launer; Cecile Lecoeur; Terho Lehtimäki; Guillaume Lettre; Jianjun Liu; Marja-Liisa Lokki; Mattias Lorentzon; Robert N Luben; Barbara Ludwig; Paolo Manunta; Diana Marek; Michel Marre; Nicholas G Martin; Wendy L McArdle; Anne McCarthy; Barbara McKnight; Thomas Meitinger; Olle Melander; David Meyre; Kristian Midthjell; Grant W Montgomery; Mario A Morken; Andrew P Morris; Rosanda Mulic; Julius S Ngwa; Mari Nelis; Matt J Neville; Dale R Nyholt; Christopher J O'Donnell; Stephen O'Rahilly; Ken K Ong; Ben Oostra; Guillaume Paré; Alex N Parker; Markus Perola; Irene Pichler; Kirsi H Pietiläinen; Carl G P Platou; Ozren Polasek; Anneli Pouta; Suzanne Rafelt; Olli Raitakari; Nigel W Rayner; Martin Ridderstråle; Winfried Rief; Aimo Ruokonen; Neil R Robertson; Peter Rzehak; Veikko Salomaa; Alan R Sanders; Manjinder S Sandhu; Serena Sanna; Jouko Saramies; Markku J Savolainen; Susann Scherag; Sabine Schipf; Stefan Schreiber; Heribert Schunkert; Kaisa Silander; Juha Sinisalo; David S Siscovick; Jan H Smit; Nicole Soranzo; Ulla Sovio; Jonathan Stephens; Ida Surakka; Amy J Swift; Mari-Liis Tammesoo; Jean-Claude Tardif; Maris Teder-Laving; Tanya M Teslovich; John R Thompson; Brian Thomson; Anke Tönjes; Tiinamaija Tuomi; Joyce B J van Meurs; Gert-Jan van Ommen; Vincent Vatin; Jorma Viikari; Sophie Visvikis-Siest; Veronique Vitart; Carla I G Vogel; Benjamin F Voight; Lindsay L Waite; Henri Wallaschofski; G Bragi Walters; Elisabeth Widen; Susanna Wiegand; Sarah H Wild; Gonneke Willemsen; Daniel R Witte; Jacqueline C Witteman; Jianfeng Xu; Qunyuan Zhang; Lina Zgaga; Andreas Ziegler; Paavo Zitting; John P Beilby; I Sadaf Farooqi; Johannes Hebebrand; Heikki V Huikuri; Alan L James; Mika Kähönen; Douglas F Levinson; Fabio Macciardi; Markku S Nieminen; Claes Ohlsson; Lyle J Palmer; Paul M Ridker; Michael Stumvoll; Jacques S Beckmann; Heiner Boeing; Eric Boerwinkle; Dorret I Boomsma; Mark J Caulfield; Stephen J Chanock; Francis S Collins; L Adrienne Cupples; George Davey Smith; Jeanette Erdmann; Philippe Froguel; Henrik Grönberg; Ulf Gyllensten; Per Hall; Torben Hansen; Tamara B Harris; Andrew T Hattersley; Richard B Hayes; Joachim Heinrich; Frank B Hu; Kristian Hveem; Thomas Illig; Marjo-Riitta Jarvelin; Jaakko Kaprio; Fredrik Karpe; Kay-Tee Khaw; Lambertus A Kiemeney; Heiko Krude; Markku Laakso; Debbie A Lawlor; Andres Metspalu; Patricia B Munroe; Willem H Ouwehand; Oluf Pedersen; Brenda W Penninx; Annette Peters; Peter P Pramstaller; Thomas Quertermous; Thomas Reinehr; Aila Rissanen; Igor Rudan; Nilesh J Samani; Peter E H Schwarz; Alan R Shuldiner; Timothy D Spector; Jaakko Tuomilehto; Manuela Uda; André Uitterlinden; Timo T Valle; Martin Wabitsch; Gérard Waeber; Nicholas J Wareham; Hugh Watkins; James F Wilson; Alan F Wright; M Carola Zillikens; Nilanjan Chatterjee; Steven A McCarroll; Shaun Purcell; Eric E Schadt; Peter M Visscher; Themistocles L Assimes; Ingrid B Borecki; Panos Deloukas; Caroline S Fox; Leif C Groop; Talin Haritunians; David J Hunter; Robert C Kaplan; Karen L Mohlke; Jeffrey R O'Connell; Leena Peltonen; David Schlessinger; David P Strachan; Cornelia M van Duijn; H-Erich Wichmann; Timothy M Frayling; Unnur Thorsteinsdottir; Gonçalo R Abecasis; Inês Barroso; Michael Boehnke; Kari Stefansson; Kari E North; Mark I McCarthy; Joel N Hirschhorn; Erik Ingelsson; Ruth J F Loos
Journal: Nat Genet Date: 2010-10-10 Impact factor: 38.330

8. Longitudinal replication studies of GWAS risk SNPs influencing body mass index over the course of childhood and adulthood.

Authors: Hao Mei; Wei Chen; Fan Jiang; Jiang He; Sathanur Srinivasan; Erin N Smith; Nicholas Schork; Sarah Murray; Gerald S Berenson
Journal: PLoS One Date: 2012-02-15 Impact factor: 3.240

9. Genome-wide meta-analysis identifies 11 new loci for anthropometric traits and provides insights into genetic architecture.

Authors: Sonja I Berndt; Stefan Gustafsson; Reedik Mägi; Andrea Ganna; Eleanor Wheeler; Mary F Feitosa; Anne E Justice; Keri L Monda; Damien C Croteau-Chonka; Felix R Day; Tõnu Esko; Tove Fall; Teresa Ferreira; Davide Gentilini; Anne U Jackson; Jian'an Luan; Joshua C Randall; Sailaja Vedantam; Cristen J Willer; Thomas W Winkler; Andrew R Wood; Tsegaselassie Workalemahu; Yi-Juan Hu; Sang Hong Lee; Liming Liang; Dan-Yu Lin; Josine L Min; Benjamin M Neale; Gudmar Thorleifsson; Jian Yang; Eva Albrecht; Najaf Amin; Jennifer L Bragg-Gresham; Gemma Cadby; Martin den Heijer; Niina Eklund; Krista Fischer; Anuj Goel; Jouke-Jan Hottenga; Jennifer E Huffman; Ivonne Jarick; Åsa Johansson; Toby Johnson; Stavroula Kanoni; Marcus E Kleber; Inke R König; Kati Kristiansson; Zoltán Kutalik; Claudia Lamina; Cecile Lecoeur; Guo Li; Massimo Mangino; Wendy L McArdle; Carolina Medina-Gomez; Martina Müller-Nurasyid; Julius S Ngwa; Ilja M Nolte; Lavinia Paternoster; Sonali Pechlivanis; Markus Perola; Marjolein J Peters; Michael Preuss; Lynda M Rose; Jianxin Shi; Dmitry Shungin; Albert Vernon Smith; Rona J Strawbridge; Ida Surakka; Alexander Teumer; Mieke D Trip; Jonathan Tyrer; Jana V Van Vliet-Ostaptchouk; Liesbeth Vandenput; Lindsay L Waite; Jing Hua Zhao; Devin Absher; Folkert W Asselbergs; Mustafa Atalay; Antony P Attwood; Anthony J Balmforth; Hanneke Basart; John Beilby; Lori L Bonnycastle; Paolo Brambilla; Marcel Bruinenberg; Harry Campbell; Daniel I Chasman; Peter S Chines; Francis S Collins; John M Connell; William O Cookson; Ulf de Faire; Femmie de Vegt; Mariano Dei; Maria Dimitriou; Sarah Edkins; Karol Estrada; David M Evans; Martin Farrall; Marco M Ferrario; Jean Ferrières; Lude Franke; Francesca Frau; Pablo V Gejman; Harald Grallert; Henrik Grönberg; Vilmundur Gudnason; Alistair S Hall; Per Hall; Anna-Liisa Hartikainen; Caroline Hayward; Nancy L Heard-Costa; Andrew C Heath; Johannes Hebebrand; Georg Homuth; Frank B Hu; Sarah E Hunt; Elina Hyppönen; Carlos Iribarren; Kevin B Jacobs; John-Olov Jansson; Antti Jula; Mika Kähönen; Sekar Kathiresan; Frank Kee; Kay-Tee Khaw; Mika Kivimäki; Wolfgang Koenig; Aldi T Kraja; Meena Kumari; Kari Kuulasmaa; Johanna Kuusisto; Jaana H Laitinen; Timo A Lakka; Claudia Langenberg; Lenore J Launer; Lars Lind; Jaana Lindström; Jianjun Liu; Antonio Liuzzi; Marja-Liisa Lokki; Mattias Lorentzon; Pamela A Madden; Patrik K Magnusson; Paolo Manunta; Diana Marek; Winfried März; Irene Mateo Leach; Barbara McKnight; Sarah E Medland; Evelin Mihailov; Lili Milani; Grant W Montgomery; Vincent Mooser; Thomas W Mühleisen; Patricia B Munroe; Arthur W Musk; Narisu Narisu; Gerjan Navis; George Nicholson; Ellen A Nohr; Ken K Ong; Ben A Oostra; Colin N A Palmer; Aarno Palotie; John F Peden; Nancy Pedersen; Annette Peters; Ozren Polasek; Anneli Pouta; Peter P Pramstaller; Inga Prokopenko; Carolin Pütter; Aparna Radhakrishnan; Olli Raitakari; Augusto Rendon; Fernando Rivadeneira; Igor Rudan; Timo E Saaristo; Jennifer G Sambrook; Alan R Sanders; Serena Sanna; Jouko Saramies; Sabine Schipf; Stefan Schreiber; Heribert Schunkert; So-Youn Shin; Stefano Signorini; Juha Sinisalo; Boris Skrobek; Nicole Soranzo; Alena Stančáková; Klaus Stark; Jonathan C Stephens; Kathleen Stirrups; Ronald P Stolk; Michael Stumvoll; Amy J Swift; Eirini V Theodoraki; Barbara Thorand; David-Alexandre Tregouet; Elena Tremoli; Melanie M Van der Klauw; Joyce B J van Meurs; Sita H Vermeulen; Jorma Viikari; Jarmo Virtamo; Veronique Vitart; Gérard Waeber; Zhaoming Wang; Elisabeth Widén; Sarah H Wild; Gonneke Willemsen; Bernhard R Winkelmann; Jacqueline C M Witteman; Bruce H R Wolffenbuttel; Andrew Wong; Alan F Wright; M Carola Zillikens; Philippe Amouyel; Bernhard O Boehm; Eric Boerwinkle; Dorret I Boomsma; Mark J Caulfield; Stephen J Chanock; L Adrienne Cupples; Daniele Cusi; George V Dedoussis; Jeanette Erdmann; Johan G Eriksson; Paul W Franks; Philippe Froguel; Christian Gieger; Ulf Gyllensten; Anders Hamsten; Tamara B Harris; Christian Hengstenberg; Andrew A Hicks; Aroon Hingorani; Anke Hinney; Albert Hofman; Kees G Hovingh; Kristian Hveem; Thomas Illig; Marjo-Riitta Jarvelin; Karl-Heinz Jöckel; Sirkka M Keinanen-Kiukaanniemi; Lambertus A Kiemeney; Diana Kuh; Markku Laakso; Terho Lehtimäki; Douglas F Levinson; Nicholas G Martin; Andres Metspalu; Andrew D Morris; Markku S Nieminen; Inger Njølstad; Claes Ohlsson; Albertine J Oldehinkel; Willem H Ouwehand; Lyle J Palmer; Brenda Penninx; Chris Power; Michael A Province; Bruce M Psaty; Lu Qi; Rainer Rauramaa; Paul M Ridker; Samuli Ripatti; Veikko Salomaa; Nilesh J Samani; Harold Snieder; Thorkild I A Sørensen; Timothy D Spector; Kari Stefansson; Anke Tönjes; Jaakko Tuomilehto; André G Uitterlinden; Matti Uusitupa; Pim van der Harst; Peter Vollenweider; Henri Wallaschofski; Nicholas J Wareham; Hugh Watkins; H-Erich Wichmann; James F Wilson; Goncalo R Abecasis; Themistocles L Assimes; Inês Barroso; Michael Boehnke; Ingrid B Borecki; Panos Deloukas; Caroline S Fox; Timothy Frayling; Leif C Groop; Talin Haritunian; Iris M Heid; David Hunter; Robert C Kaplan; Fredrik Karpe; Miriam F Moffatt; Karen L Mohlke; Jeffrey R O'Connell; Yudi Pawitan; Eric E Schadt; David Schlessinger; Valgerdur Steinthorsdottir; David P Strachan; Unnur Thorsteinsdottir; Cornelia M van Duijn; Peter M Visscher; Anna Maria Di Blasio; Joel N Hirschhorn; Cecilia M Lindgren; Andrew P Morris; David Meyre; André Scherag; Mark I McCarthy; Elizabeth K Speliotes; Kari E North; Ruth J F Loos; Erik Ingelsson
Journal: Nat Genet Date: 2013-04-07 Impact factor: 38.330

10. Association of common variants identified by recent genome-wide association studies with obesity in Chinese children: a case-control study.

Authors: Hai-Jun Wang; Anke Hinney; Jie-Yun Song; André Scherag; Xiang-Rui Meng; Harald Grallert; Thomas Illig; Johannes Hebebrand; Yan Wang; Jun Ma
Journal: BMC Med Genet Date: 2016-01-22 Impact factor: 2.103

1 in total

1. Genome-wide association study reveals candidate genes relevant to body weight in female turkeys (Meleagris gallopavo).

Authors: Emhimad A E Abdalla; Bayode O Makanjuola; Benjamin J Wood; Christine F Baes
Journal: PLoS One Date: 2022-03-10 Impact factor: 3.240

1 in total