Animal Traits Correlation Database (CorrDB)

Release 23
(Dec 23, 2024)

Animal Trait Correlation Database

Genetic and phenotypic trait correlation studies have been conducted for decades since Hazel proposed the methods in 1943. A genetic correlation is the proportion of shared variance between two traits that is due to genetic causes; a phenotypic correlation is the degree to which two traits co-vary among individuals in a population. In the genomics era, while gene expression, genetic association, and network analysis provide unprecedented means to decode the genetic basis of complex phenotypes, it is important to recognize the possible effects genetic progress in one trait can have on other traits. This database is designed to collect all published livestock genetic/phenotypic trait correlation data, aimed at facilitating genetic network analysis or systems biology studies.

As of the current Release, a total of 42,436 correlation data on 928 base traits and 1329 trait variants; 7,198 heritability data on 1,140 base traits and 1347 trait variants, in 6 livestock animal species have been curated from 719 publications.

Cattle

Chicken

Goat

Horse

Pig

Sheep

Release 23: Curated Data
Species	Correlations		Heritability
Species	Count	Traits	Count	Traits
Cattle	16,032	368	2,873	421
Chicken	3,771	93	620	155
Goat	3,983	90	514	84
Horse	209	27	131	54
Pig	12,871	239	2,044	279
Sheep	5,570	111	1,016	147
Sum	42,436	928	7,198	1,140

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Correlation by unique trait pairs by species
	Cattle	Chicken	Goat	Horse	Pig	Sheep	SUM
Environment	277 (654)	55 (55)	5 (25)	1 (2)	14 (166)	42 (175)	394 (1,077)
Genetic	3,309 (8,188)	506 (1,530)	508 (1,744)	76 (106)	2,009 (6,963)	731 (2,733)	7,139 (21,264)
Phenotypic	3,657 (6,670)	610 (2,186)	742 (2,147)	60 (86)	1,950 (5,551)	637 (2,441)	7,656 (19,081)
Residual	359 (520)		10 (67)	12 (15)	39 (191)	32 (221)	452 (1,014)
SUM	7,602 (16,032)	1,171 (3,771)	1,265 (3,983)	149 (209)	4,012 (12,871)	1,442 (5,570)	15,641 (42,436)
Note: Bold numbers represent counts of correlation trait pairs; In parenthesis are counts of multiple correlations reported.

Heritability data reported by species

# Reports	Cattle Traits
117	Body weight
110	Milk yield
88	Subcutaneous fat thickness
63	Longissimus muscle area
59	Milk fat yield
59	Average daily gain
58	Milk protein yield
50	Somatic cell score
48	Marbling score
44	Milk protein percentage
44	Carcass weight
44	Milk fat percentage
39	Scrotal circumference
35	Dry matter intake
34	Body height
32	Residual feed intake
28	Shear force
28	Clinical mastitis
27	Calving interval
26	Calving to conception interval
25	Interval to first estrus after calving
24	Age at first calving
22	Intramuscular fat
21	Metabolic body weight
20	Teat placement
18	Sperm motility
18	Inseminations per conception
18	Body condition score
17	Body circumference
17	Interval from first to last insemination
16	Muscularity
16	Udder depth
16	Udder cleft
15	Udder attachment
15	Milk lactose yield
15	Stature
15	Dressing percentage
15	Gestation length
14	Milk lactose content
14	Yield grade
14	Body depth
14	Non-return rate
14	Conformation score
13	Semen volume
13	Meat color
13	Milk palmitic acid content
13	Milk myristic acid content
13	Milk oleic acid content
13	Udder height
13	Milk stearic acid content
12	Milk capric acid content
12	Milk lauric acid content
12	Feet and leg conformation
12	Milk saturated fatty acid content
12	Milk caprylic acid content
12	Rump width
12	Ketosis

# Reports	Chicken Traits
96	Body weight
35	Egg number
35	Egg weight
18	Shank length
16	Abdominal fat weight
14	Eggshell strength
14	Carcass weight
13	Abdominal fat percentage
12	Shank circumference
11	Age at first egg
10	Gizzard weight
10	Liver weight
10	Average daily gain
9	Residual feed intake
9	Eggshell thickness
8	Heart weight
8	Feed intake
7	Albumen height
7	Body weight gain
7	Eggshell shape
7	Breast muscle weight
7	Feed conversion ratio
6	Meat color
6	Eggshell color
5	Breast muscle percentage
4	Comb height
4	Drumstick weight
4	Triglyceride level
4	Blood globulin level
4	Keel length
4	Eggshell stiffness
4	Blood bile acid level
4	Proventriculus weight
4	Haugh units
4	Blood albumin to globulin ratio
4	Blood uric acid level
3	Blood alanine transaminase level
3	Wooden breast
3	Blood aspartate transaminase level
3	HDL/LDL ratio
3	LDL cholesterol level
3	Chest width
3	Blood creatinine level
3	Blood gamma-glutamyltranspeptidase level
3	AST to ALT ratio
3	Feathering
3	Body slope length
3	HDL cholesterol level
3	Intramuscular fat percentage
3	Spleen weight
3	Eggshell cuticle coverage
3	Intestine length
3	Cholesterol level
3	Wing weight
3	Testes weight
3	Muscle pH
3	Blood total protein level

# Reports	Goat Traits
75	Body weight
35	Milk yield
31	Average daily gain
26	Kleiber ratio
25	Kidding interval
20	Age at first kidding
15	Milk protein yield
15	Milk fat yield
14	Body height
14	Somatic cell score
13	Body circumference
13	Body length
10	Milk fat percentage
10	Milk protein percentage
7	Offspring number
7	Udder attachment
7	Milk protein-to-fat ratio
6	Fecal egg count
5	Milk protein content
5	Hematocrit
5	Litter weight, total
5	Milk fat content
4	Milk conjugated linoleic acid content
4	Milk octadecenoic acid content
4	Sperm motility
4	Milk monounsaturated fatty acid content
4	Milk capric acid content
4	Milk butyric acid content
4	Milk lauric acid content
4	Medial suspensory ligament
4	Milk omega-6 fatty acid content
4	Milk unsaturated fatty acid content
4	Milk polyunsaturated fatty acid content
4	Milk saturated fatty acid content
4	Milk sum of C13:0 to C17:0 fatty acid content
4	Milk palmitic acid content
4	Milk myristic acid content
4	Milk caprylic acid content
4	Teat placement
4	Milk sum of C4:0 to C10:0 fatty acid content
4	Milk caproic acid content
4	Milk omega-3 fatty acid content
4	Milk stearic acid content
3	Marbling score
3	Teat diameter
3	Milk solids yield
3	Milk lactose yield
3	Body condition score
3	Teat angle
3	Teat shape
3	Rear udder height
2	Somatic cell count
2	Lactation persistency
2	Lactation length
2	Teat length
2	Teat number
2	Sperm concentration

# Reports	Horse Traits
12	Insect bite hypersensitivity
12	Recurrent exertional rhabdomyolysis
8	Tendon injury
8	Recurrent uveitis
7	Bone fracture
5	Strongyle fecal egg count
4	Suspensory ligament injury
4	Withers height
4	Osteoarthritis
3	Strongyle infection
3	twinning
3	Sperm progressive motility
2	Sperm count
2	Epistaxis
2	Skinfold thickness
2	Walk score
2	Hair shaft diameter
2	Hoof conformation
2	Semen volume
2	Sperm concentration
2	Body condition score
2	Croup height
2	Conformation score
2	chronic progressive lymphedema
2	Trot score
2	Equine sarcoids
2	Gestation length
2	Leg conformation
1	Leptin level
1	Plasma protein level
1	Hematocrit
1	Blood lactate level
1	Aspartate aminotransferase activity
1	Blood glucose level
1	Hemoglobin
1	Blood creatinine level
1	ACTH level
1	Lymphocyte number
1	Red blood cell number
1	Creatine kinase level
1	Insulin level
1	White blood cell number
1	Triglyceride level
1	Blood adiponectin level
1	Neutrophil number
1	Chest circumference
1	Cannon bone circumference
1	Uric acid level
1	Number of progressively motile sperm
1	Blood non-esterified fatty acid level
1	hereditary equine regional dermal asthenia
1	Recurrent laryngeal neuropathy
1	Equine neuroaxonal dystrophy/degenerative myeloencephalopathy
1	Lactate dehydrogenase level

# Reports	Pig Traits
317	Offspring number
101	Meat color
100	Subcutaneous fat thickness
78	Average daily gain
36	Muscle pH
32	Body weight
31	Litter weight, total
29	Teat number
29	Feed intake
27	Longissimus muscle area
25	Feed conversion ratio
21	Semen volume
21	Longissimus muscle depth
21	Sperm concentration
20	Sperm abnormality rate
19	Linoleic acid content
19	Oleic acid content
19	Palmitic acid content
19	Stearic acid content
18	Sperm motility
18	Sperm progressive motility
18	Body circumference
18	Palmitoleic acid content
17	Days to 100 kg
17	Time spent in feeder
17	Intramuscular fat content
17	Residual feed intake
17	Myristic acid content
17	Lean meat percentage
16	Polyunsaturated fatty acid content
16	Saturated fatty acid content
16	Monounsaturated fatty acid content
15	Carcass weight (hot)
13	Body length
13	Carcass length
12	Sperm per ejaculate
12	Linolenic acid content
12	Body height
11	Drip loss
10	Cannon bone circumference
10	Eicosadienoic acid content
10	Arachidonic acid content
10	Arachidic acid content
9	Cooking loss
9	Number of functional sperm
9	Number of visits to feeder
9	cis-11-Eicosenoic acid content
9	Water holding capacity
9	Marbling
8	Omega-6 fatty acid content
8	Shear force
8	Days to 105 kg
8	Omega-6 to omega-3 fatty acid ratio
8	Average feeding rate
8	Dihomo-gamma-linolenic acid content
8	Omega-3 fatty acid content
8	Age at first farrowing

# Reports	Sheep Traits
281	Body weight
97	Average daily gain
62	Offspring number
41	Greasy fleece weight
37	Staple length
37	Kleiber ratio
30	Fecal egg count
26	Fleece grade
18	Residual feed intake
17	Feed conversion ratio
13	Mean fiber diameter
13	Subcutaneous fat thickness
10	Milk yield
10	Body condition score
10	Body height
9	Meat color
9	Sperm motility
8	Body circumference
8	Body length
7	Sperm concentration
7	Somatic cell score
7	Growth efficiency
7	Semen volume
7	Relative growth rate
7	Longissimus muscle depth
7	Scrotal circumference
7	Degree of anemia
6	Litter weight, total
6	Gastrointestinal nematode resistance
6	Longissimus muscle area
6	Hematocrit
5	udder attachment
5	Fiber diameter coefficient of variance
5	Teat placement
5	Fleece yield
5	Teat size
5	Clean fleece weight
5	udder depth
4	Shear force
4	Milk protein percentage
4	somatic cell count
4	Dressing percentage
4	Feed intake
3	Milk protein content
3	Fiber diameter standard deviation
3	Cheese yield
3	Lambing interval
3	Milk fat content
3	Milk protein yield
3	Muscle pH
3	Milk fat percentage
3	Milk fat yield
3	Hot carcass weight
3	Staple strength
2	Cooking loss
2	Longissimus muscle width
2	Fiber curvature

New Data: If you found correlation data that has not been included in the current release, please either (1) register for a curator account to directly input them (see "Database Curators / Editors" below), or (2) inform our Bioinformatics Team so that we can include your data for curation.

Database Curators / Editors: The CorrDB is open to the public for data entry and update. By having a curator account on the CorrDB, you will be granted privileges to input and edit the database entries.

Questions and Answers: Frequently asked questions and answers to address the questions raised with regard to the design, usage, application, utilities, new developments, and other related issues in the development of CorrDB.

Data downloads:

( Release 23 )

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Correlation data: Cattle

Correlation data: Chicken

Correlation data: Goat

Correlation data: Horse

Correlation data: Pig

Correlation data: Sheep

Heritability data: Cattle

Heritability data: Chicken

Heritability data: Goat

Heritability data: Horse

Heritability data: Pig

Heritability data: Sheep

Zhi-Liang Hu, Carissa A. Park, and James M. Reecy (2022). Bringing the Animal QTLdb and CorrDB into the future: meeting new challenges and providing updated services. Nucleic Acids Research, Volume 50, Issue D1, Pages D956–D961. DOI: 10.1093/nar/gkab1116

Zhi-Liang Hu, Carissa A. Park, and James M. Reecy (2020). An Update on Database Growth and Improvements of Animal QTLdb and CorrDB. Plant & Animal Genomes XXVII Conference, January 11-15, 2020. Town & Country Convention Center, San Diego, CA. (January 11-15, 2020).

Zhi-Liang Hu, Carissa A. Park, and James M. Reecy (2019). Building a livestock genetic and genomic information knowledgebase through integrative developments of Animal QTLdb and CorrDB. Nucleic Acids Research, Volume 47, Issue D1, 8 January 2019, Pages D701–D710. DOI: 10.1093/nar/gky1084

Zhi-Liang Hu, Carissa A. Park, and James M. Reecy (2018). Development of Animal QTLdb and CorrDB: Resynthesizing Big Data to Improve Meta-analysis of Genetic and Genomic Information. The 11th World Congress on Genetics Applied to Livestock Production (WCGALP). New Zealand, February 11-16, 2018.

Zhi-Liang Hu, Carissa A. Park, and James M. Reecy (2018). Animal QTLdb and CorrDB updates: integrative development of genetics/genomics databases and tools to meet new challenges. Plant & Animal Genomes XXVI Conference, January 13-17, 2018. Town & Country Convention Center, San Diego, CA.

Zhi-Liang Hu, Dinesh Kumar, and James Reecy. (2013). CorrDB: A livestock animal genetic/phenotypic trait correlation database. Plant & Animal Genomes XX Conference, January 11-16, 2013. Town & Country Convention Center, San Diego, CA.|/icons/links/PAG_logo.png|2

Related resources:

· VT | LPT | LBO | CMO ·

· MIQAS ·

· MIBBI ·

· MI ·

· QTLdb ·

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